larvit/fejkdata
3
0
Fork 0
Code Pull Requests Actions Activity

Compare commits

base: larvit/fejkdata:main
Branches Tags
larvit/fejkdata:main
..
compare: larvit/fejkdata:4c8f30406e1b9f2edaa63de19edf452e99a966f3
Branches Tags
larvit/fejkdata:main

1 Commits
main .. 4c8f30406e

Author SHA1 Message Date
lilleman 4c8f30406e Tests for a bounded, streamed --repeat, rune-named flags, and --list with inert flags
Tests / vet + fmt + tests (pull_request) Failing after 43s
Details
2026-09-02 19:05:54 +02:00
164 changed files with 1107 additions and 96177 deletions
Expand all files Collapse all files
.github/workflows/test.yml
+1 -43
View File
@@ -16,54 +16,12 @@ jobs:
- uses: actions/checkout@v6
with:
persist-credentials: false
fetch-depth: 0
- name: Relevant changes
id: changes
run: |
if [ "$GITHUB_EVENT_NAME" = "pull_request" ]; then
git fetch --no-tags origin "$GITHUB_BASE_REF"
base="origin/$GITHUB_BASE_REF"
else
base='${{ github.event.before }}'
fi
if git diff --quiet "$base"...HEAD -- '*.go' go.mod go.sum Dockerfile .dockerignore .github data testdata README.md; then
echo "code=false" >> "$GITHUB_OUTPUT"
else
echo "code=true" >> "$GITHUB_OUTPUT"
fi
echo "base=$base" >> "$GITHUB_OUTPUT"
- name: CHANGELOG entry for data changes
run: |
base='${{ steps.changes.outputs.base }}'
if ! git diff --quiet "$base"...HEAD -- data testdata/shipped_shape.txt && git diff --quiet "$base"...HEAD -- CHANGELOG.md; then
echo "::error::the shipped data changed without a CHANGELOG.md entry (see the README's Versioning)"
exit 1
fi
# `docker build` streams the context to the daemon. A compose bind-mount of
# `.` mounts an empty host dir instead, because the job is itself a container.
- name: Latest supported Go
if: ${{ steps.changes.outputs.code == 'true' }}
run: docker build .
# Runs even when the step above failed, so a red build says whether the
# failure is version-specific.
- name: Lowest supported Go
if: ${{ !cancelled() && steps.changes.outputs.code == 'true' }}
if: ${{ !cancelled() }}
run: docker build --build-arg GO_VERSION=1.22.12 .
release:
name: Gitea release from CHANGELOG.md
needs: test
if: github.event_name == 'push'
runs-on: ubuntu-24.04
permissions:
contents: write
steps:
- uses: actions/checkout@v6
with:
persist-credentials: false
- run: python3 release-tooling/publish_release.py
env:
GITEA_API_URL: ${{ github.api_url }}
GITEA_REPOSITORY: ${{ github.repository }}
GITEA_TOKEN: ${{ secrets.GITHUB_TOKEN }}
SHA: ${{ github.sha }}
.gitignore
+1 -1
View File
@@ -1,4 +1,4 @@
.claude
*.out
__pycache__/
data-import/cache/
todo.md
AGENTS.md
+11 -20
View File
@@ -1,27 +1,18 @@
# Rules
- Go runs only through `docker compose run --rm <test|vet|fmt|build|cyclo>`; the merge gate is `docker build .` plus CI's changelog check.
- Tests first, in their own commit; the implementation follows in the next. A re-pin of seeded output or of `testdata/shipped_shape.txt` is its own commit.
- A change under `data/` or to the shape pin adds its `CHANGELOG.md` entry under `Unreleased` in the same PR, and so does a change to a flag, an exit code, an exported name, a fence, a builtin or the lowest Go; what is major is the README's Versioning table.
- Go runs only through `docker compose run --rm <test|vet|fmt|build>`; the merge gate is `docker build .`.
- Tests first, in their own commit; the implementation follows in the next. A re-pin of seeded output is its own commit.
- One-line commit messages: no ticket prefix, no repo name, no authorship trailers.
- Merges are fast-forward only, which `tea pr merge` cannot spell — every style it
offers fails with "is it still open?", as does a merge whose required checks are
still pending, so read the checks before believing the style is the problem. Use
`tea api /repos/{owner}/{repo}/pulls/<n>/merge -f Do=fast-forward-only`.
- Gitea queues Actions runs that `/repos/{owner}/{repo}/actions/tasks` does not
list, so an empty task list says nothing about whether CI ran; read
`/repos/{owner}/{repo}/commits/<sha>/status`.
- README goal 2 is gated at 7.0 on the `comprehension-panel` skill, and below it
nothing else merges — no feature, no category, no data — bar a security fix and a
dependency bump. `todo.md` carries the round: the nine-seat findings run at depth 1,
a PR per item it names, then the run again, until the score passes. At or above 7.0
every pull request scores with the four-seat run and answers it in one run. No merge
lowers the last score.
- Hard tabs. No comment by default; delete a restatement, a rationale, history, or a file preamble.
- One spelling per result: reject the other at `New`, and let the error name the spelling to use.
- A standing choice a reader would relitigate goes under Decisions in the README, not in a comment.
- Prose naming a source states what that source states: read the register's own field
before paraphrasing it, and name the register you read before claiming none
publishes a spelling.
- A README example is a `json` block that loads and renders as a category; `readme_test.go` runs every one.
- Cyclomatic complexity is gated at 14: the table-shaped dispatches (`linkParent`, `compileTemplate`, `renderEdges`) sit at it and stay whole; a function that would pass it is decomposed.
- Cyclomatic complexity is gated at 14: the table-shaped dispatches (`eachToken`, `calc.factor`, `walkPath`) sit at 13–14 and stay whole; anything else that reaches 14 is decomposed.
# Deferred
- **Shipped-data de-duplication (2026-09-02).** `email.json`'s `local` is a
drifted copy of `username.json`, and no shipped file yet uses a held path, an
operand or a reference. Fixed in the data fill before the first tag, when the
shipped set is rewritten anyway; premise: nothing depends on the shipped data's
shape until then. Not raised in review before that.
CHANGELOG.md
-92
View File
@@ -1,92 +0,0 @@
# Changelog
Format: [Keep a Changelog](https://keepachangelog.com/en/1.1.0/). A release's
`Breaking` section comes first and names each rejected spelling with its
replacement, and each removed path, column or flag.
## [Unreleased]
### Added
- First release: the CLI, the library and the shipped data set.
- Table categories: a category JSON naming a `rows` TSV beside it, with the options
`key`, `name`, `weight` and `parent`; a path selects a row by key or name,
`misc.territory[SE]`, and descends to a linked table by name; linked tables draw
consistently within one render and draw group. `rows` is an option, so no
template may carry a field of that name. A `name` without a `key` resolves
inside the table's `parent`. Refused at `New`: a `name` without a `key` or a
`parent`, a name repeating inside one parent row, a name spelling another row's key, a table named like a column of any
table above it, a table whose format or cell references its own family, and,
within one render and draw group, a path drawing a table another path selects a
row of, or two paths pinning different rows of one table.
- `New` refuses a root choice of templates sharing one format and one set of string
fields, naming the rows TSV to write instead.
- `misc.territory`, `misc.currency`, `misc.language`, `misc.httpstatus` and
`misc.mimetype` are tables. `misc.territory` is every ISO 3166-1 territory that has
a capital, a currency and a TLD, with the columns `calling-code`, `capital`,
`country`, `currency`, `flag`, `languages`, `numeric` and `tld` added, `country`
holding the alpha-2 code of the sovereign state it belongs to and its own where it
is one; `misc.currency` the
current ISO 4217 currencies with a minor unit, with `decimals` and `numeric`
added, and its symbols from CLDR; `misc.language` every ISO 639-2 entry carrying a
639-1 code, with a `code3` column holding its 639-2/T code; `misc.httpstatus` each
code the IANA registry lists with a plain reason phrase; and `misc.mimetype` each
type mime-db records as IANA-registered and gives a filename extension.
`DATA-LICENSES.md` lists each source.
- `misc.timezone`, `misc.car` and `misc.useragent` are tables too. `misc.timezone`
is every zone tzdb `zone.tab` gives a shipped territory, with `offset` holding the
zone's standard UTC offset and `territory` linking to `misc.territory`, so
`misc.territory[SE].timezone` draws `Europe/Stockholm`; zones of a territory
`misc.territory` does not ship, Antarctica's among them, and the constant `UTC`
are gone; spell that one as the text `"UTC"`. A `weight` column carries the
population GeoNames records in each zone, so a draw favours the zones people live
in. `misc.useragent` is the top-user-agents desktop and mobile lists with `browser`,
`device` and `os` columns. `misc.car` keeps its makes and models in a `make` and a
`model` column.
- `misc.httpmethod`, `misc.protocol` and `misc.port` are IANA's registries as tables.
`misc.httpmethod` is the eight methods RFC 9110 defines and PATCH, carrying
`safe` and `idempotent` as `true` or `false`; `misc.protocol` the keyword, its
`number` and its `name`, selectable by either; `misc.port` renders a TCP port number,
with the IANA `service` name beside it, keeping the first service the registry
describes for a port so a number selects one row.
- `misc.tld` is the IANA root zone as a table: every delegated TLD keyed with its
leading dot, `.se` and `.xn--p1ai`, the register's `type` beside it, and a `unicode`
column holding the form the register displays, so `misc.tld[.рф]` selects the row
`.xn--p1ai` renders. A delegation the register marks "Not assigned" does not ship.
- `misc.loglevel` is the eight syslog severities: the `keyword` a configuration writes,
`err` and `info`, keyed by the numerical `code` a PRI encodes and selectable by
either, with the `severity` RFC 5424 spells beside it.
- `geo.SE` and `geo.US`: five linked tables per country, `region`, `municipality`,
`locality`, `postal-code` and `street`, weighted by population and address counts
and built from SCB, GeoNames, Trafikverket NVDB and the US Census Bureau, and an
`address` record over one consistent draw of them. `sv_SE.address` and
`en_US.address` read those records, so `en_US.address.street` no longer carries
`name` and `suffix`, and a locale folder loads only beside `geo`.
- `{date(from,to,'layout')}` and `{time('layout')}`: a second between two days, or
within one, in a single-quoted Go layout, drawn in UTC; `from` may equal `to`.
`sv_SE.date`, `en_US.date`, `sv_SE.time` and `en_US.time` render through them, so
`date.year`, `date.month`, `date.day`, `time.hour`, `time.minute`, `time.minute.t`,
`time.sec` and `time.ampm` are no longer paths — a part of a date is now its own
`{date(…,'2006')}`. `misc.datetime` is an RFC 3339 instant.
- `sex`, `first-name` and `last-name` tables in `sv_SE` and `en_US`, weighted by
bearers from SCB, the SSA and the Census Bureau; `first-name` links to `sex`, and a
name both sexes carry is a row under each. `person` reads them, so its columns are
`first`, `last`, `prefix` and `sex`; `person.femalefirst` and `person.malefirst` are
no longer paths — draw `sex[f].first-name` and `sex[m].first-name` instead.
`en_US.title` links to `sex` as well, so `en_US.person.prefix` draws `Mr` or `Ms`
without contradicting the record's `sex`; `sv_SE.title` is an unsexed table of the
same shape.
- `sv_SE.personnummer` and `sv_SE.samordningsnummer`, Skatteverket's test series
from a `sv_SE.birth-number` table under `sex`, in place of `sv_SE.ssn`, whose
`ssn.mmdd`, `ssn.mmdd.m` and `ssn.mmdd.d` go with it. `en_US.ssn` now draws the
ranges the SSA assigns and carries the columns `area`, `group` and `serial`, so
`--format csv en_US.ssn` writes a header where it used to fail; `en_US.itin` is new
and carries the same three. `person.prefix` is null where a person has no title,
where it used to be an empty string, so `--format sql` writes `NULL` and a `string`
struct field reading it becomes `*string`.
- `ErrNoColumns` is exported, so a caller can tell the one record fence a path can
answer from the rest.
- An error names a spelling that runs: a layout is named single-quoted and free of
its own quotes, a row of a table with no key is named as the path that selects it,
`sv_SE.sex[f].first-name[Kim]`, and a category with no columns names the record
that gives it one.
DATA-LICENSES.md
-31
View File
@@ -1,31 +0,0 @@
# Data licenses
Every shipped dataset, its source, its licence and the attribution it asks for. A
`data-import/` script rebuilds each sourced table, run as the README's
[Development](README.md#development) section says; a curated one is hand-written.
| Table | Source | Licence | Attribution | Rebuild |
|-------|--------|---------|-------------|---------|
| `geo/SE/locality.tsv`, `postal-code.tsv` | [GeoNames](https://www.geonames.org/) postal codes for SE; populations from SCB tätorter 2023 | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); CC0 1.0 | "Postal codes from GeoNames, www.geonames.org" | `data-import/geo-se.py` |
| `geo/SE/region.tsv`, `municipality.tsv` | [SCB](https://www.scb.se/) län and kommun codes 2026 and population 2024 | [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) | none required | `data-import/geo-se.py` |
| `geo/SE/street.tsv` | [Trafikverket NVDB](https://www.trafikverket.se/) Gatunamn, through the open API | CC0 1.0 | none required | `data-import/geo-se.py` |
| `geo/US/region.tsv`, `municipality.tsv`, `locality.tsv` | [Census Bureau](https://www.census.gov/) Gazetteer 2026 and population estimates 2025 | [public domain](https://www.usa.gov/government-works) | none required | `data-import/geo-us.py` |
| `geo/US/postal-code.tsv`, `street.tsv` | Census Bureau ZCTA to place relationships 2020 and TIGER/Line 2025 address ranges and feature names | public domain | none required | `data-import/geo-us.py` |
| `sv_SE/first-name.tsv`, `last-name.tsv` | [SCB](https://www.scb.se/) names with at least two bearers, 31 December 2022 | CC0 1.0 | "Källa: SCB" | `data-import/names-se.py` |
| `en_US/first-name.tsv` | [SSA](https://www.ssa.gov/oact/babynames/) baby names, births 1930 to 2020, through [hackerb9/ssa-baby-names](https://github.com/hackerb9/ssa-baby-names) | public domain | none required | `data-import/names-us.py` |
| `en_US/last-name.tsv` | Census Bureau surnames occurring 100 or more times, 2010 | public domain | none required | `data-import/names-us.py` |
| `sv_SE/sex.tsv`, `sv_SE/birth-number.tsv`, `sv_SE/title.tsv`, `en_US/sex.tsv`, `en_US/title.tsv`, `misc/car.tsv` | curated; Skatteverket's test birth numbers are facts, and `car.tsv` waits for an international source (goal 12) | — | — | — |
| `misc/currency.tsv` | [datasets/currency-codes](https://github.com/datasets/currency-codes); symbols from [Unicode CLDR](https://github.com/unicode-org/cldr) `en.xml` and `root.xml` | PDDL 1.0; [Unicode License v3](https://www.unicode.org/license.txt) | CLDR: "Copyright © 1991-2025 Unicode, Inc. Unicode and the Unicode Logo are registered trademarks of Unicode, Inc. in the United States and other countries." | `data-import/currency.py` |
| `misc/httpmethod.tsv` | [IANA HTTP Method Registry](https://www.iana.org/assignments/http-methods/) | [public domain](https://www.iana.org/help/licensing-terms) | none required | `data-import/httpmethod.py` |
| `misc/httpstatus.tsv` | [IANA HTTP Status Code Registry](https://www.iana.org/assignments/http-status-codes/) | [public domain](https://www.iana.org/help/licensing-terms) | none required | `data-import/httpstatus.py` |
| `misc/language.tsv` | [datasets/language-codes](https://github.com/datasets/language-codes), the [Library of Congress](https://www.loc.gov/standards/iso639-2/) ISO 639-2 register | [PDDL 1.0](https://opendatacommons.org/licenses/pddl/1-0/) | none required | `data-import/language.py` |
| `misc/loglevel.tsv` | [RFC 5424](https://www.rfc-editor.org/rfc/rfc5424.txt) Table 2, the syslog message severities; keywords from the [POSIX](https://pubs.opengroup.org/onlinepubs/9799919799/basedefs/syslog.h.html) `<syslog.h>` severity macros | facts | none required | `data-import/loglevel.py` |
| `misc/mimetype.tsv` | [mime-db](https://github.com/jshttp/mime-db), the IANA media type registry with filename extensions | [MIT](https://github.com/jshttp/mime-db/blob/master/LICENSE) | "Copyright (c) 2014 Jonathan Ong, Copyright (c) 2015-2022 Douglas Christopher Wilson" | `data-import/mimetype.py` |
| `misc/port.tsv` | [IANA Service Name and Transport Protocol Port Number Registry](https://www.iana.org/assignments/service-names-port-numbers/) | [public domain](https://www.iana.org/help/licensing-terms) | none required | `data-import/port.py` |
| `misc/protocol.tsv` | [IANA Protocol Numbers](https://www.iana.org/assignments/protocol-numbers/) | [public domain](https://www.iana.org/help/licensing-terms) | none required | `data-import/protocol.py` |
| `misc/territory.tsv` | [datasets/country-codes](https://github.com/datasets/country-codes) | [PDDL 1.0](https://opendatacommons.org/licenses/pddl/1-0/) | none required | `data-import/territory.py` |
| `misc/timezone.tsv` | [IANA tzdb](https://www.iana.org/time-zones) 2026d `zone.tab` and the standard offset of each zone; weights from [GeoNames](https://www.geonames.org/) `cities15000` populations | [public domain](https://data.iana.org/time-zones/tzdb/LICENSE); [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | "Populations from GeoNames, www.geonames.org" | `data-import/timezone.py` |
| `misc/tld.tsv` | [IANA Root Zone Database](https://www.iana.org/domains/root/db), checked against the root zone's [TLD list](https://data.iana.org/TLD/tlds-alpha-by-domain.txt) | [public domain](https://www.iana.org/help/licensing-terms) | none required | `data-import/tld.py` |
| `misc/useragent.tsv` | [top-user-agents](https://github.com/microlinkhq/top-user-agents) desktop and mobile lists | [MIT](https://github.com/microlinkhq/top-user-agents/blob/master/LICENSE.md) | "Copyright © 2020 Kiko Beats" | `data-import/useragent.py` |
Every other category is hand-written under [`data/`](data), MIT like the code.
README.md
+109 -1087
View File
File diff suppressed because it is too large Load Diff
bench_test.go
+6 -6
View File
@@ -26,12 +26,12 @@ func benchPath(b *testing.B, dir, path string) {
}
}
func BenchmarkPerson(b *testing.B) { benchPath(b, "data", "sv_SE.person") }
func BenchmarkAddress(b *testing.B) { benchPath(b, "data", "sv_SE.address") }
func BenchmarkWord(b *testing.B) { benchPath(b, "data", "sv_SE.word") }
func BenchmarkCreditcard(b *testing.B) { benchPath(b, "data", "misc.creditcard") }
func BenchmarkPersonnummer(b *testing.B) { benchPath(b, "data", "sv_SE.personnummer") }
func BenchmarkUUIDv7(b *testing.B) { benchPath(b, "data", "misc.uuid") }
func BenchmarkPerson(b *testing.B) { benchPath(b, "data/sv_SE", "person") }
func BenchmarkAddress(b *testing.B) { benchPath(b, "data/sv_SE", "address") }
func BenchmarkWord(b *testing.B) { benchPath(b, "data/sv_SE", "word") }
func BenchmarkCreditcard(b *testing.B) { benchPath(b, "data/misc", "creditcard") }
func BenchmarkSSN(b *testing.B) { benchPath(b, "data/sv_SE", "ssn") }
func BenchmarkUUIDv7(b *testing.B) { benchPath(b, "data/misc", "uuid") }
func tmpData(b *testing.B, name, body string) string {
b.Helper()
builtins.go
+211 -75
View File
@@ -2,19 +2,19 @@ package fejkdata
import (
"encoding/base64"
"errors"
"fmt"
"math"
"strconv"
"strings"
"unicode"
)
// maxLen caps sample output lengths (hex, nanoid, base64, digits, upper, lower)
// and maxDecimals float/calc decimal places, so a fat-fingered or overflowing
// argument fails at New instead of trying to allocate gigabytes — or panicking —
// at render.
// maxLen caps sample output lengths (hex, nanoid, base64) and the renders a repeat
// multiplies to along any path; maxDecimals caps float/calc decimal places. So a
// fat-fingered or overflowing argument fails at New instead of trying to allocate
// gigabytes — or panicking — at render.
const (
maxLen = 1 << 20
maxLen = 1 << 20 // 1,048,576 chars/bytes
maxDecimals = 1024
)
@@ -30,11 +30,9 @@ var builtins = map[string]builtin{
"ulid": {arity: 0, prep: sample(ulid)},
"nanoid": {arity: 1, check: posIntArg, prep: chars(nanoidAlphabet)},
"hex": {arity: 1, check: posIntArg, prep: chars(hexDigits)},
"digits": {arity: 1, check: posIntArg, prep: chars("0123456789"), number: func(token string, a []string) proven {
return printing(token, DataTypeString, bounded(0, math.Pow(10, float64(atoi(a[0])))-1, true))
}},
"upper": {arity: 1, check: posIntArg, prep: chars("ABCDEFGHIJKLMNOPQRSTUVWXYZ")},
"lower": {arity: 1, check: posIntArg, prep: chars("abcdefghijklmnopqrstuvwxyz")},
"digits": {arity: 1, check: posIntArg, prep: chars("0123456789")},
"upper": {arity: 1, check: posIntArg, prep: chars("ABCDEFGHIJKLMNOPQRSTUVWXYZ")},
"lower": {arity: 1, check: posIntArg, prep: chars("abcdefghijklmnopqrstuvwxyz")},
"base64": {arity: 1, check: posIntArg, prep: func(a []string) callFn {
n := atoi(a[0])
return func(s *session, _ string, _ []string) string {
@@ -44,23 +42,17 @@ var builtins = map[string]builtin{
"int": {arity: 2, check: intRangeArgs, prep: func(a []string) callFn {
lo, span := atoi(a[0]), atoi(a[1])-atoi(a[0])+1
return func(s *session, _ string, _ []string) string { return strconv.Itoa(lo + s.IntN(span)) }
}, number: func(token string, a []string) proven {
return printing(token, DataTypeInteger, bounded(float64(atoi(a[0])), float64(atoi(a[1])), true))
}},
"float": {arity: 3, check: floatArgs, prep: func(a []string) callFn {
lo, hi, dp := atof(a[0]), atof(a[1]), atoi(a[2])
return func(s *session, _ string, _ []string) string {
return formatFloat(lo+s.Float64()*(hi-lo), dp)
return strconv.FormatFloat(lo+s.Float64()*(hi-lo), 'f', dp, 64)
}
}, number: func(token string, a []string) proven {
return printedNumber(token, bounded(atof(a[0]), atof(a[1]), false), atoi(a[2]))
}},
"iban": {arity: 1, check: ibanArg, prep: func(a []string) callFn {
cc := a[0]
return func(s *session, _ string, _ []string) string { return iban(s, cc) }
}},
"date": {arity: -1, check: dateArgs, prep: datePrep},
"time": {arity: -1, check: timeArg, prep: timePrep},
"calc": {arity: -1, check: checkCalc, prep: calcPrep, operands: calcOperands},
"lowercase": {arity: 1, check: transformArg, prep: transformPrep(strings.ToLower), operands: transformOperand},
"uppercase": {arity: 1, check: transformArg, prep: transformPrep(strings.ToUpper), operands: transformOperand},
@@ -76,8 +68,6 @@ var builtins = map[string]builtin{
return func(s *session, _ string, _ []string) string {
return strconv.FormatUint(s.next(key), 10)
}
}, number: func(token string, _ []string) proven {
return printing(token, DataTypeInteger, bounded(1, math.MaxInt64, true))
}},
}
@@ -89,11 +79,13 @@ func derive(f func(emitted string) string) func([]string) callFn {
return func(_ *session, emitted string, _ []string) string { return f(emitted) }
}
}
func sample(f func(rng) string) func([]string) callFn {
return func([]string) callFn {
return func(s *session, _ string, _ []string) string { return f(s) }
}
}
func chars(alphabet string) func([]string) callFn {
return func(a []string) callFn {
n := atoi(a[0])
@@ -103,13 +95,94 @@ func chars(alphabet string) func([]string) callFn {
const hexDigits = "0123456789abcdef"
// formatFloat prints v to dp decimals, -1 for the shortest form, and a zero unsigned.
func formatFloat(v float64, dp int) string {
s := strconv.FormatFloat(v, 'f', dp, 64)
if strings.HasPrefix(s, "-") && strings.Trim(s, "-0.") == "" {
return s[1:]
// transforms are the builtins that rewrite one operand's value; they nest, so
// {lowercase(ascii(x))} folds then lowers.
var transforms = map[string]func(string) string{
"ascii": asciiFold,
"lowercase": strings.ToLower,
"uppercase": strings.ToUpper,
}
// unwrapTransform peels nested transform calls off an operand arg, returning the
// field it finally names and the transforms to apply, innermost last.
func unwrapTransform(arg string) (leaf string, chain []func(string) string, err error) {
for {
name, args, isCall := funcCall(arg)
if !isCall {
return arg, chain, nil
}
fn, isTransform := transforms[name]
if !isTransform {
return "", nil, fmt.Errorf("%s(%s) is not a transform, so it cannot be an operand", name, strings.Join(args, ","))
}
if len(args) != 1 {
return "", nil, fmt.Errorf("%s takes 1 arg, got %d", name, len(args))
}
chain = append(chain, fn)
arg = args[0]
}
return s
}
func transformArg(fields map[string]node, a []string) error {
leaf, _, err := unwrapTransform(a[0])
if err != nil {
return err
}
if isRef(leaf) {
_, _, err := refShape(leaf)
return err
}
return checkArm(leaf, fields)
}
func transformOperand(a []string) []string {
leaf, _, err := unwrapTransform(a[0])
if err != nil {
return nil
}
return []string{leaf}
}
func transformPrep(outer func(string) string) func([]string) callFn {
return func(a []string) callFn {
_, chain, err := unwrapTransform(a[0])
if err != nil {
panic(fmt.Sprintf("fejkdata: transform arg %q reached prep unvalidated: %v", a[0], err))
}
return func(_ *session, _ string, operands []string) string {
v := operands[0]
for i := len(chain) - 1; i >= 0; i-- {
v = chain[i](v)
}
return outer(v)
}
}
}
// asciiFolds maps the Latin letters with diacritics or ligatures to ASCII.
var asciiFolds = map[rune]string{
'À': "A", 'Á': "A", 'Â': "A", 'Ã': "A", 'Ä': "A", 'Å': "A", 'Æ': "AE", 'Ç': "C",
'È': "E", 'É': "E", 'Ê': "E", 'Ë': "E", 'Ì': "I", 'Í': "I", 'Î': "I", 'Ï': "I",
'Ð': "D", 'Ñ': "N", 'Ò': "O", 'Ó': "O", 'Ô': "O", 'Õ': "O", 'Ö': "O", 'Ø': "O",
'Ù': "U", 'Ú': "U", 'Û': "U", 'Ü': "U", 'Ý': "Y", 'Þ': "Th", 'ß': "ss", 'Œ': "OE",
'à': "a", 'á': "a", 'â': "a", 'ã': "a", 'ä': "a", 'å': "a", 'æ': "ae", 'ç': "c",
'è': "e", 'é': "e", 'ê': "e", 'ë': "e", 'ì': "i", 'í': "i", 'î': "i", 'ï': "i",
'ð': "d", 'ñ': "n", 'ò': "o", 'ó': "o", 'ô': "o", 'õ': "o", 'ö': "o", 'ø': "o",
'ù': "u", 'ú': "u", 'û': "u", 'ü': "u", 'ý': "y", 'þ': "th", 'ÿ': "y", 'œ': "oe",
}
// asciiFold rewrites s to ASCII: folded Latin letters stay, any other non-ASCII
// rune is dropped.
func asciiFold(s string) string {
var b strings.Builder
for _, r := range s {
if r < unicode.MaxASCII {
b.WriteRune(r)
} else {
b.WriteString(asciiFolds[r])
}
}
return b.String()
}
// atoi parses an arg a builtin's check already validated. It panics rather than
@@ -131,6 +204,7 @@ func atof(s string) float64 {
}
return f
}
func randBytes(r rng, n int) []byte {
b := make([]byte, n)
for i := range b {
@@ -138,6 +212,7 @@ func randBytes(r rng, n int) []byte {
}
return b
}
func randChars(r rng, n int, alphabet string) string {
b := make([]byte, n)
for i := range b {
@@ -146,86 +221,54 @@ func randChars(r rng, n int, alphabet string) string {
return string(b)
}
// plainInt parses an integer arg written the one way: no sign, no leading zero.
func plainInt(s string) (int, error) {
n, err := strconv.Atoi(s)
if errors.Is(err, strconv.ErrRange) {
return 0, fmt.Errorf("%q is past the integer range: %w", s, err)
}
if err != nil {
return 0, fmt.Errorf("%q is not an integer", s)
}
if strconv.Itoa(n) != s {
return 0, fmt.Errorf("%q is not a plain integer; write %d", s, n)
}
return n, nil
}
func posIntArg(_ map[string]node, a []string) error {
n, err := plainInt(a[0])
if errors.Is(err, strconv.ErrRange) {
return fmt.Errorf("count %q exceeds the maximum %d", a[0], maxLen)
}
if err != nil {
return fmt.Errorf("count %w", err)
}
if n < 1 {
return fmt.Errorf("count %q must be positive", a[0])
n, err := strconv.Atoi(a[0])
if err != nil || n < 1 {
return fmt.Errorf("count %q must be a positive integer", a[0])
}
if n > maxLen {
return fmt.Errorf("count %d exceeds the maximum %d", n, maxLen)
}
return nil
}
func intRangeArgs(_ map[string]node, a []string) error {
lo, err := plainInt(a[0])
if err != nil {
return fmt.Errorf("int(min,max): min %w", err)
}
hi, err := plainInt(a[1])
if err != nil {
return fmt.Errorf("int(min,max): max %w", err)
lo, e1 := strconv.Atoi(a[0])
hi, e2 := strconv.Atoi(a[1])
if e1 != nil || e2 != nil {
return fmt.Errorf("int(min,max) needs integer args, got %q,%q", a[0], a[1])
}
if lo > hi {
return fmt.Errorf("int(min,max): min %d > max %d", lo, hi)
}
if lo == hi {
return fmt.Errorf("int(%d,%d) is the constant %d; write it as text", lo, hi, lo)
}
if uint64(hi)-uint64(lo) >= uint64(math.MaxInt64) { // span hi-lo+1 would overflow int -> IntN panic
return fmt.Errorf("int(min,max): range %d..%d is too wide", lo, hi)
}
return nil
}
func floatArgs(_ map[string]node, a []string) error {
lo, e1 := strconv.ParseFloat(a[0], 64)
hi, e2 := strconv.ParseFloat(a[1], 64)
if e1 != nil || e2 != nil {
return fmt.Errorf("float(min,max,dp) needs numeric bounds, got %q,%q", a[0], a[1])
}
dp, err := plainInt(a[2])
if err != nil {
return fmt.Errorf("float(min,max,dp): decimals %w", err)
}
if math.IsNaN(lo) || math.IsNaN(hi) || math.IsInf(lo, 0) || math.IsInf(hi, 0) {
return fmt.Errorf("float(min,max,dp) needs finite bounds, got %q,%q", a[0], a[1])
dp, e3 := strconv.Atoi(a[2])
if e1 != nil || e2 != nil || e3 != nil {
return fmt.Errorf("float(min,max,dp) needs numeric args, got %q,%q,%q", a[0], a[1], a[2])
}
if lo > hi {
return fmt.Errorf("float(min,max,dp): min %v > max %v", lo, hi)
}
if dp < 0 || dp > maxDecimals {
return fmt.Errorf("float(min,max,dp): decimals %d out of range 0..%d", dp, maxDecimals)
}
if lo == hi {
return fmt.Errorf("float(%s,%s,%d) is the constant %q; write it as text", a[0], a[1], dp, strconv.FormatFloat(lo, 'f', dp, 64))
}
if math.IsInf(hi-lo, 0) { // an overflowing span would render as "+Inf"
return fmt.Errorf("float(min,max,dp): range %v..%v is too wide", lo, hi)
}
if dp < 0 || dp > maxDecimals {
return fmt.Errorf("float(min,max,dp): decimals %d out of range 0..%d", dp, maxDecimals)
}
return nil
}
func seqArg(_ map[string]node, a []string) error {
if len(a) > 1 {
return fmt.Errorf("seq takes at most one name, got %d", len(a))
return fmt.Errorf("seq takes at most one name, got %d args", len(a))
}
if len(a) == 1 && a[0] == "" {
return fmt.Errorf("seq name must not be empty")
@@ -276,3 +319,96 @@ func ulid(r rng) string {
}
return string(out)
}
// luhnCheck returns the Luhn check digit (0-9) over the digits of s; non-digit
// runes are skipped. Doubling runs from the rightmost digit, so the result is
// correct whatever the payload length.
func luhnCheck(s string) int {
sum, double := 0, true
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
d := int(c - '0')
if double {
if d *= 2; d > 9 {
d -= 9
}
}
double = !double
sum += d
}
return (10 - sum%10) % 10
}
// mod11Check returns the weighted mod-11 check character over the digits of s
// (weights 2..7 cycling from the right). A would-be value of 10 emits 'X', as in
// ISBN-10 / ISO 7064; non-digits are skipped.
func mod11Check(s string) string {
sum, w := 0, 2
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
sum += int(c-'0') * w
if w++; w > 7 {
w = 2
}
}
if chk := (11 - sum%11) % 11; chk != 10 {
return string(rune('0' + chk))
}
return "X"
}
// eanCheck returns the EAN-13 / UPC-A / ISBN-13 / GTIN check digit over the
// digits of s: weights 3 and 1 alternating from the rightmost digit, mod 10.
func eanCheck(s string) string {
sum, w := 0, 3
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
sum += int(c-'0') * w
w = 4 - w // 3 <-> 1
}
return string(rune('0' + (10-sum%10)%10))
}
// ibanLen maps a supported country code to the full IBAN length. The check digits
// sit between the country code and the BBAN, so — unlike luhn/ean — iban can't be
// a left-to-right derivation; it generates the whole value instead.
var ibanLen = map[string]int{"BE": 16, "DE": 22, "DK": 18, "ES": 24, "FI": 18, "NO": 15, "SE": 24}
func ibanArg(_ map[string]node, a []string) error {
if _, ok := ibanLen[a[0]]; !ok {
return fmt.Errorf("iban(%q): unsupported country code", a[0])
}
return nil
}
// iban generates a structurally valid IBAN for cc: a numeric BBAN of the right
// length, then mod-97 check digits. Real bank/branch structure isn't modelled —
// the result passes length and checksum validation, which is what fake data needs.
func iban(r rng, cc string) string {
bban := make([]byte, ibanLen[cc]-4)
for i := range bban {
bban[i] = byte('0' + r.IntN(10))
}
rem := 0
feed := func(d int) { rem = (rem*10 + d) % 97 }
for _, c := range bban {
feed(int(c - '0'))
}
for i := 0; i < len(cc); i++ { // letters A-Z -> 10..35, fed as two digits
v := int(cc[i]-'A') + 10
feed(v / 10)
feed(v % 10)
}
feed(0)
feed(0)
return fmt.Sprintf("%s%02d%s", cc, 98-rem, bban)
}
builtins_test.go
-138
View File
@@ -4,9 +4,7 @@ import (
"encoding/base64"
"regexp"
"strconv"
"strings"
"testing"
"time"
)
func TestBuiltinIDGenerators(t *testing.T) {
@@ -43,7 +41,6 @@ func TestBuiltinSamplesReproducible(t *testing.T) {
`"{uuid()}"`, `"{ulid()}"`,
`"{nanoid(12)}"`, `"{int(1,1000000)}"`,
`"{float(0,1,6)}"`, `"{base64(12)}"`, `"{iban(SE)}"`,
`"{date(2000-01-01,2020-12-31,'2006-01-02 15:04:05')}"`, `"{time('15:04:05')}"`,
} {
if a, b := mustRender(t, engine(7), tmpl), mustRender(t, engine(7), tmpl); a != b {
t.Fatalf("%s not reproducible: %q != %q", tmpl, a, b)
@@ -72,9 +69,6 @@ func TestBuiltinFloat(t *testing.T) {
if got := mustRender(t, f, `"{float(1,2,3)}"`); !re.MatchString(got) {
t.Fatalf("float(1,2,3) = %q, want d.ddd in [1,2]", got)
}
if got := mustRender(t, f, `"{float(-1,1,0)}"`); got == "-0" {
t.Fatalf("float(-1,1,0) = %q, want a zero printed unsigned", got)
}
}
}
@@ -236,135 +230,3 @@ func TestClassBuiltinArgs(t *testing.T) {
}
}
}
// TestBuiltinDateAndTime pins the two clock-free samples: date draws a second in
// [from 00:00:00, to 23:59:59], both days reachable, and renders it in the quoted Go
// layout, commas and English names included; time draws a second within one day.
func TestBuiltinDateAndTime(t *testing.T) {
f := engine(1)
seen := map[string]bool{}
for i := 0; i < 500; i++ {
got := mustRender(t, f, `"{date(1990-01-01,1990-12-31,'2006-01-02')}"`)
if d, err := time.Parse("2006-01-02", got); err != nil || d.Year() != 1990 {
t.Fatalf("date = %q, want a 1990 calendar date (err %v)", got, err)
}
seen[got] = true
}
if len(seen) < 200 {
t.Fatalf("date drew %d distinct days of 365 in 500, want a uniform spread", len(seen))
}
lo, hi := false, false
for i := 0; i < 200; i++ {
got := mustRender(t, f, `"{date(2020-02-28,2020-02-29,'2006-01-02')}"`)
if got != "2020-02-28" && got != "2020-02-29" {
t.Fatalf("date(2020-02-28,2020-02-29) = %q, out of range", got)
}
lo, hi = lo || got == "2020-02-28", hi || got == "2020-02-29"
}
if !lo || !hi {
t.Fatalf("date never hit a bound: lo=%v hi=%v (bounds must be inclusive)", lo, hi)
}
if got := mustRender(t, f, `"{date(2020-07-04,2020-07-05,'January 2, 2006')}"`); got != "July 4, 2020" && got != "July 5, 2020" {
t.Fatalf("date with a comma in its layout = %q", got)
}
rfc := regexp.MustCompile(`^2021-\d\d-\d\dT\d\d:\d\d:\d\dZ$`)
clock := regexp.MustCompile(`^([01]\d|2[0-3]):[0-5]\d$`)
ampm := regexp.MustCompile(`^(1[0-2]|[1-9]):[0-5]\d (AM|PM)$`)
seconds := map[string]bool{}
for i := 0; i < 300; i++ {
got := mustRender(t, f, `"{date(2021-01-01,2021-12-31,'2006-01-02T15:04:05Z07:00')}"`)
if !rfc.MatchString(got) {
t.Fatalf("date in an RFC 3339 layout = %q, want %s", got, rfc)
}
seconds[got[17:19]] = true
if got := mustRender(t, f, `"{time('15:04')}"`); !clock.MatchString(got) {
t.Fatalf("time('15:04') = %q, want %s", got, clock)
}
if got := mustRender(t, f, `"{time('3:04 PM')}"`); !ampm.MatchString(got) {
t.Fatalf("time('3:04 PM') = %q, want %s", got, ampm)
}
got = mustRender(t, f, `"{date(1950-01-01,2000-12-31,'060102')}-238{luhn()}"`)
if d := digitsOnly(got); len(d) != 10 || !luhnValid(d) {
t.Fatalf("a personnummer over date() = %q, want ten Luhn-valid digits", got)
}
}
if len(seconds) < 30 {
t.Fatalf("date drew %d distinct seconds in 300, want the whole day, not midnight", len(seconds))
}
}
// TestBuiltinDateArgs pins the New-time checks: bounds are calendar dates in order,
// the layout is quoted, names a field, and for time names no date field.
func TestBuiltinDateArgs(t *testing.T) {
for tmpl, want := range map[string]string{
`"{date(1990-13-01,1990-12-31,'2006-01-02')}"`: "1990-13-01",
`"{date(1990-12-31,1990-01-01,'2006-01-02')}"`: "is after",
`"{date(1990-01-01,1990-01-01,'2006-01-02')}"`: "write it as text",
`"{date(1990-01-01,1990-12-31,2006-01-02)}"`: "'2006-01-02'",
`"{date(1990-01-01,1990-12-31,'January 2, 2006)}"`: "'",
`"{date(1990-01-01,1990-12-31,\"January 2, 2006\")}"`: "quoted: 'January 2, 2006'",
`"{date(1990-01-01,1990-12-31,'x')}"`: "text",
`"{date(1990-01-01,1990-12-31,'')}"`: "text",
`"{date(1990-01-01,1990-12-31)}"`: "3 arguments",
`"{date(1990-01-01,1990-12-31,January 2, 2006)}"`: "'January 2, 2006'",
`"{time(3:04 PM, Mon)}"`: "'3:04 PM, Mon'",
`"{time(15:04)}"`: "'15:04'",
`"{time('2006-01-02 15:04')}"`: "date(",
`"{time('x')}"`: "text",
`"{date(1990-01-01,1990-12-31,'15:04')}"`: "time('15:04')",
} {
_, err := compile(parse(t, tmpl))
if err == nil || !strings.Contains(err.Error(), want) {
t.Errorf("compile(%s) = %v, want an error mentioning %q", tmpl, err, want)
}
}
}
// TestBuiltinLayoutErrorsNameARunnableSpelling pins the two layout errors a user
// can follow: a double-quoted layout is named single-quoted, without its own
// quotes carried into the suggestion, whether it split on a comma or not.
func TestBuiltinLayoutErrorsNameARunnableSpelling(t *testing.T) {
_, err := compile(parse(t, `"{date(1990-01-01,1990-12-31,\"2006-01-02\")}"`))
if err == nil || !strings.Contains(err.Error(), "write '2006-01-02'") {
t.Fatalf("a double-quoted layout = %v, want it named single-quoted", err)
}
if strings.Contains(err.Error(), `'"`) {
t.Errorf("%v names a layout that renders its own quotes", err)
}
if !strings.Contains(err.Error(), "is double-quoted") {
t.Errorf("%v does not say which quotes were wrong", err)
}
_, err = compile(parse(t, `"{time(15:04)}"`))
if err == nil || !strings.Contains(err.Error(), "write '15:04'") {
t.Fatalf("a bare layout = %v, want it named quoted", err)
}
// The comma hint belongs to a layout that split, not to a call given extra args.
_, err = compile(parse(t, `"{time(0,12,'15:04')}"`))
if err == nil || !strings.Contains(err.Error(), "takes 1 argument, got 3") {
t.Fatalf("time with three args = %v, want the count named in the singular", err)
}
if strings.Contains(err.Error(), "holding a comma") {
t.Errorf("%v offers the comma hint though the layout is already quoted", err)
}
}
// TestBuiltinDateSpansOneDay pins that from == to is a day: with a clock layout it
// draws every second of it, and without one it could only emit one value.
func TestBuiltinDateSpansOneDay(t *testing.T) {
f := engine(1)
seen := map[string]bool{}
for i := 0; i < 500; i++ {
got := mustRender(t, f, `"{date(2026-01-01,2026-01-01,'2006-01-02 15:04:05')}"`)
if !strings.HasPrefix(got, "2026-01-01 ") {
t.Fatalf("date over one day = %q, out of range", got)
}
seen[got] = true
}
if len(seen) < 400 {
t.Fatalf("date over one day drew %d distinct seconds in 500, want the whole day", len(seen))
}
_, err := compile(parse(t, `"{date(2026-01-01,2026-01-01,'2006-01-02')}"`))
if err == nil || !strings.Contains(err.Error(), "write it as text") {
t.Fatalf("one day in a date-only layout = %v, want it named a constant", err)
}
}
calc.go
+9 -84
View File
@@ -78,88 +78,18 @@ func checkCalc(fields map[string]node, args []string) error {
return fmt.Errorf("calc(%q): operand %q is never a number: it renders %q", args[0], name, text)
}
}
if divisor, zero := constantZeroDivisor(expr, fields); zero {
return fmt.Errorf("calc(%q) divides by %s, which is always zero", args[0], divisor)
}
if len(args) == 2 {
dp, err := plainInt(args[1])
if err != nil {
return fmt.Errorf("calc decimals %w", err)
}
if dp < 0 || dp > maxDecimals {
return fmt.Errorf("calc decimals %d must be in 0..%d", dp, maxDecimals)
if dp, err := strconv.Atoi(args[1]); err != nil || dp < 0 || dp > maxDecimals {
return fmt.Errorf("calc decimals %q must be an integer in 0..%d", args[1], maxDecimals)
}
}
return nil
}
// constantZeroDivisor finds a division whose right side is a constant zero: number
// literals and fixed operands folded, anything that varies left unknown.
func constantZeroDivisor(n calcNode, fields map[string]node) (string, bool) {
switch n := n.(type) {
case calcNeg:
return constantZeroDivisor(n.x, fields)
case calcBin:
if n.op == '/' {
if v, known := constantValue(n.r, fields); known && v == 0 {
return calcText(n.r), true
}
}
if d, zero := constantZeroDivisor(n.l, fields); zero {
return d, true
}
return constantZeroDivisor(n.r, fields)
}
return "", false
}
// constantValue evaluates an expression whose every operand is fixed.
func constantValue(n calcNode, fields map[string]node) (float64, bool) {
switch n := n.(type) {
case calcNum:
return float64(n), true
case calcVar:
t, ok := fields[string(n)].(*template)
if !ok || !t.fixed || t.repeat > 1 {
return 0, false
}
v, err := strconv.ParseFloat(strings.TrimSpace(t.lit), 64)
return v, err == nil
case calcNeg:
v, ok := constantValue(n.x, fields)
return -v, ok
case calcBin:
l, lok := constantValue(n.l, fields)
r, rok := constantValue(n.r, fields)
if !lok || !rok {
return 0, false
}
return calcBin{n.op, calcNum(l), calcNum(r)}.eval(nil), true
}
return 0, false
}
// calcText spells an expression node the way an author would read it.
func calcText(n calcNode) string {
switch n := n.(type) {
case calcNum:
return strconv.FormatFloat(float64(n), 'f', -1, 64)
case calcVar:
return string(n)
case calcNeg:
return "-" + calcText(n.x)
case calcBin:
return "(" + calcText(n.l) + " " + string(n.op) + " " + calcText(n.r) + ")"
}
return "?"
}
// neverNumeric reports a node no render of which is a number: a null, fixed text that
// does not parse, or a choice of only such items. text is one such render.
// neverNumeric reports a node no render of which is a number: fixed text that does
// not parse, or a choice of only such items. text is one such render.
func neverNumeric(n node) (text string, never bool) {
switch n := n.(type) {
case *null:
return "", true
case *template:
if !n.fixed || n.repeat > 1 {
return "", false
@@ -193,18 +123,13 @@ func calcPrep(args []string) callFn {
at[name] = i
}
placed := indexVars(expr, at)
dp := calcDecimals(args)
return func(_ *session, _ string, operands []string) string {
return formatFloat(placed.eval(operands), dp)
}
}
// calcDecimals is a calc's decimals count, or -1 for the shortest form.
func calcDecimals(args []string) int {
dp := -1
if len(args) == 2 {
return atoi(args[1])
dp = atoi(args[1])
}
return func(_ *session, _ string, operands []string) string {
return strconv.FormatFloat(placed.eval(operands), 'f', dp, 64)
}
return -1
}
// indexVars replaces each operand name with its position in the values expand reads.
calc_test.go
-27
View File
@@ -36,7 +36,6 @@ func TestCalcAuto(t *testing.T) {
`"{calc(10 / 3)}"`: "3.3333333333333335",
`"{calc(6 / 2)}"`: "3",
`"{calc(1 / 4)}"`: "0.25",
`"{calc(0 * -1)}"`: "0",
}
for tmpl, want := range cases {
if got := mustRender(t, f, tmpl); got != want {
@@ -53,7 +52,6 @@ func TestCalcDecimals(t *testing.T) {
`"{calc(10 / 3, 2)}"`: "3.33",
`"{calc(10 / 3, 0)}"`: "3",
`"{calc(2 * 3, 2)}"`: "6.00",
`"{calc(-0.001, 2)}"`: "0.00",
}
for tmpl, want := range cases {
if got := mustRender(t, f, tmpl); got != want {
@@ -247,28 +245,3 @@ func TestCalcOverANeverNumericOperandIsRejected(t *testing.T) {
}
}
}
func TestCalcConstantZeroDivisorIsRejected(t *testing.T) {
for src, want := range map[string]string{
`"{calc(1/0)}"`: "divides by 0",
`"{calc(2/(1-1))}"`: "divides by (1 - 1)",
`{"format":"{calc(x/y)}","x":"1","y":"0"}`: "divides by y",
`{"format":"{calc(x/(y*2))}","x":"1","y":" 0 "}`: "divides by (y * 2)",
`{"format":"{calc((a/0)+b)}","a":"1","b":"2"}`: "divides by 0",
`{"format":"{calc(a/-0)}","a":"1"}`: "divides by -0",
} {
if _, err := compile(parse(t, src)); err == nil || !strings.Contains(err.Error(), want) {
t.Errorf("compile(%s) = %v, want the constant zero divisor rejected naming %q", src, err, want)
}
}
if _, err := compile(parse(t, `{"format":"{calc(a/(b*c))}","a":"1","b":"0","c":["1","2"]}`)); err != nil {
t.Errorf("compile(a/(b*c)) = %v, want a divisor that varies accepted", err)
}
f := engine(1)
for i := 0; i < 50; i++ {
if got := mustRender(t, f, `{"format":"{calc(x/y)}","x":"1","y":["0","1"]}`); got == "+Inf" {
return
}
}
t.Fatal("a sometimes-zero divisor never printed +Inf in 50 draws")
}
checksum.go
-96
View File
@@ -1,96 +0,0 @@
package fejkdata
import "fmt"
// luhnCheck returns the Luhn check digit (0-9) over the digits of s; non-digit
// runes are skipped. Doubling runs from the rightmost digit, so the result is
// correct whatever the payload length.
func luhnCheck(s string) int {
sum, double := 0, true
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
d := int(c - '0')
if double {
if d *= 2; d > 9 {
d -= 9
}
}
double = !double
sum += d
}
return (10 - sum%10) % 10
}
// mod11Check returns the weighted mod-11 check character over the digits of s
// (weights 2..7 cycling from the right). A would-be value of 10 emits 'X', as in
// ISBN-10 / ISO 7064; non-digits are skipped.
func mod11Check(s string) string {
sum, w := 0, 2
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
sum += int(c-'0') * w
if w++; w > 7 {
w = 2
}
}
if chk := (11 - sum%11) % 11; chk != 10 {
return string(rune('0' + chk))
}
return "X"
}
// eanCheck returns the EAN-13 / UPC-A / ISBN-13 / GTIN check digit over the
// digits of s: weights 3 and 1 alternating from the rightmost digit, mod 10.
func eanCheck(s string) string {
sum, w := 0, 3
for i := len(s) - 1; i >= 0; i-- {
c := s[i]
if c < '0' || c > '9' {
continue
}
sum += int(c-'0') * w
w = 4 - w // 3 <-> 1
}
return string(rune('0' + (10-sum%10)%10))
}
// ibanLen maps a supported country code to the full IBAN length. The check digits
// sit between the country code and the BBAN, so — unlike luhn/ean — iban can't be
// a left-to-right derivation; it generates the whole value instead.
var ibanLen = map[string]int{"BE": 16, "DE": 22, "DK": 18, "ES": 24, "FI": 18, "NO": 15, "SE": 24}
func ibanArg(_ map[string]node, a []string) error {
if _, ok := ibanLen[a[0]]; !ok {
return fmt.Errorf("iban(%q): unsupported country code", a[0])
}
return nil
}
// iban generates a structurally valid IBAN for cc: a numeric BBAN of the right
// length, then mod-97 check digits. Real bank/branch structure isn't modelled —
// the result passes length and checksum validation, which is what fake data needs.
func iban(r rng, cc string) string {
bban := make([]byte, ibanLen[cc]-4)
for i := range bban {
bban[i] = byte('0' + r.IntN(10))
}
rem := 0
feed := func(d int) { rem = (rem*10 + d) % 97 }
for _, c := range bban {
feed(int(c - '0'))
}
for i := 0; i < len(cc); i++ { // letters A-Z -> 10..35, fed as two digits
v := int(cc[i]-'A') + 10
feed(v / 10)
feed(v % 10)
}
feed(0)
feed(0)
return fmt.Sprintf("%s%02d%s", cc, 98-rem, bban)
}
cmd/fejkdata/main.go
+42 -277
View File
@@ -8,72 +8,45 @@
package main
import (
"bufio"
"errors"
"fmt"
"io"
"os"
"runtime/debug"
"sort"
"strconv"
"strings"
"gitea.larvit.se/larvit/fejkdata"
)
const usage = `Usage: fejkdata [flags] <path|template>
const usage = `Usage: fejkdata [flags] <path>
<path> a category, or a dotted path into one (person, person.last);
a table's row by key or name: 'misc.territory[SE]', 'misc.territory[Sweden].tld'
<template> a format string or JSON value to render inline, e.g.
'name: {/sv_SE.person.last}' or '{"format":"{x}","x":["bosse","lina"]}'
A layout inside a template is single-quoted, so quote the whole argument with " to
keep it: "{date(1990-01-01,2010-12-31,'2006-01-02')}".
An argument containing a { token, or a JSON object, array or string, is a
template; any other argument is a path (a path never contains a brace or a quote,
and a bracket only as a [selector] after a table's name). Templates reach the
data by reference from the root — {/sv_SE.person.last} — whether the data is
shipped or layered with --data-path. An argument carrying a closing brace or a
quote but no valid JSON names neither.
With --format json, ndjson, csv or sql the argument must name a record — a
template whose fields are its columns — and the rows are written as one JSON
array, one JSON object per line, one CSV row (after a header), or one INSERT.
<path> a category, or a dotted path into one (person, person.last)
-d, --data-path D a data directory to layer over the shipped data (repeatable; last wins on a clash)
--format F output form: text (default), json, ndjson, csv or sql
-h, --help print this help, then exit
--list list the paths the data offers, then exit
--no-shipped-data load only the --data-path directories
-n, --repeat N render the value N times, 1..1048576 (default 1)
-n, --repeat N render the path N times (default 1)
-s, --seed N seed for reproducible output
--separator S string between repeated values (default newline)
--table T the INSERT target for --format sql (default: the path's last segment, or records for an inline template)
--version print the version, then exit
Flags may come before or after <path|template>; -- ends the flags. A short flag's
value attaches or follows (-n3, -n 3); short flags bundle (-hn 3).
Flags may come before or after <path>; -- ends the flags. A short flag's value
attaches or follows (-n3, -n 3); short flags bundle (-hn 3).
`
type invocation struct {
dirs []string
format string
formatSet bool
help bool
list bool
noShipped bool
paths []string
repeat int
repeatSet bool
seed uint64
seeded bool
separator string
separatorSet bool
table string
tableSet bool
version bool
dirs []string
help bool
list bool
noShipped bool
paths []string
repeat int
seed uint64
seeded bool
separator string
version bool
}
type flagDef struct {
@@ -85,16 +58,15 @@ type flagDef struct {
var flagDefs = []flagDef{
{"data-path", "d", true, func(in *invocation, v string) error { in.dirs = append(in.dirs, v); return nil }},
{"format", "", true, func(in *invocation, v string) error { in.format, in.formatSet = v, true; return nil }},
{"help", "h", false, func(in *invocation, _ string) error { in.help = true; return nil }},
{"list", "", false, func(in *invocation, _ string) error { in.list = true; return nil }},
{"no-shipped-data", "", false, func(in *invocation, _ string) error { in.noShipped = true; return nil }},
{"repeat", "n", true, func(in *invocation, v string) error {
n, err := strconv.Atoi(v)
if err != nil || n < 1 || n > fejkdata.MaxRepeat {
return fmt.Errorf("--repeat needs an integer in 1..%d, got %q", fejkdata.MaxRepeat, v)
if err != nil || n < 1 {
return fmt.Errorf("--repeat needs a positive integer, got %q", v)
}
in.repeat, in.repeatSet = n, true
in.repeat = n
return nil
}},
{"seed", "s", true, func(in *invocation, v string) error {
@@ -105,8 +77,7 @@ var flagDefs = []flagDef{
in.seed, in.seeded = n, true
return nil
}},
{"separator", "", true, func(in *invocation, v string) error { in.separator, in.separatorSet = v, true; return nil }},
{"table", "", true, func(in *invocation, v string) error { in.table, in.tableSet = v, true; return nil }},
{"separator", "", true, func(in *invocation, v string) error { in.separator = v; return nil }},
{"version", "", false, func(in *invocation, _ string) error { in.version = true; return nil }},
}
@@ -153,8 +124,8 @@ func splitFlags(arg string) ([]flagArg, error) {
}
var flags []flagArg
letters := arg[1:]
for i, r := range letters {
letter := string(r)
for i := 0; i < len(letters); i++ {
letter := letters[i : i+1]
def := flagByShort(letter)
if def == nil {
return nil, fmt.Errorf("unknown flag -%s", letter)
@@ -163,7 +134,7 @@ func splitFlags(arg string) ([]flagArg, error) {
flags = append(flags, flagArg{def: def})
continue
}
rest := letters[i+len(letter):]
rest := letters[i+1:]
if strings.HasPrefix(rest, "=") {
return nil, fmt.Errorf("-%s takes its value attached (-%s%s) or next (-%s %s); = belongs to --%s=%s",
letter, letter, rest[1:], letter, rest[1:], def.long, rest[1:])
@@ -174,7 +145,7 @@ func splitFlags(arg string) ([]flagArg, error) {
}
func parseArgs(argv []string) (invocation, error) {
in := invocation{repeat: 1, separator: "\n", format: "text"}
in := invocation{repeat: 1, separator: "\n"}
for i := 0; i < len(argv); i++ {
arg := argv[i]
if arg == "--" {
@@ -212,81 +183,17 @@ func parseArgs(argv []string) (invocation, error) {
return in, nil
}
// recordFormat is one way to write a record out: the line each record renders,
// the header that precedes the first one, and the open/close frame plus the
// between-record separator a document form needs.
type recordFormat struct {
header func(*fejkdata.Record) string
line func(r *fejkdata.Record, table string) string
open string
close string
sep string
}
// recordFormats is every --format that writes records. json frames the records
// as one array document; ndjson is the same column, one object per line.
var recordFormats = map[string]recordFormat{
"csv": {header: (*fejkdata.Record).CSVHeader, line: func(r *fejkdata.Record, _ string) string { return r.CSVLine() }, sep: "\n"},
"json": {line: jsonLine, open: "[", close: "]", sep: ",\n"},
"ndjson": {line: jsonLine, sep: "\n"},
"sql": {line: func(r *fejkdata.Record, table string) string { return r.SQLInsert(table) }, sep: "\n"},
}
func jsonLine(r *fejkdata.Record, _ string) string { return r.JSON() }
// writesRecords reports whether the format writes records rather than plain text.
func (in invocation) writesRecords() bool {
return in.format != "text"
}
// formatNames lists the --format values, text included, for the misuse error.
func formatNames() string {
names := []string{"text"}
for name := range recordFormats {
names = append(names, name)
// check rejects a flag combination that cannot run.
func (in invocation) check() error {
if in.list && len(in.paths) > 0 {
return errors.New("--list takes no path")
}
sort.Strings(names)
return strings.Join(names[:len(names)-1], ", ") + " or " + names[len(names)-1]
}
// checkFlags rejects a flag value or combination that cannot run.
func (in invocation) checkFlags() error {
if _, ok := recordFormats[in.format]; !ok && in.format != "text" {
return fmt.Errorf("--format takes %s, got %q", formatNames(), in.format)
}
if in.tableSet && in.table == "" {
return errors.New("--table names the INSERT target, so it cannot be empty")
}
if in.tableSet && in.format != "sql" {
return errors.New("--table names the INSERT target, so it needs --format sql")
}
if in.writesRecords() && in.separatorSet {
return errors.New("--separator joins text values, so it has no effect with --format " + in.format)
if !in.list && len(in.paths) != 1 {
return fmt.Errorf("expected one path, got %d", len(in.paths))
}
return nil
}
// check rejects a flag combination or an argument that cannot run, and reports
// what the argument names, so its shape is settled before any data is read.
func (in invocation) check() (argKind, error) {
if err := in.checkFlags(); err != nil {
return argPath, err
}
if in.list && len(in.paths) > 0 {
return argPath, errors.New("--list takes no path")
}
if in.list && (in.repeatSet || in.separatorSet || in.formatSet || in.tableSet) {
return argPath, errors.New("--list takes no --repeat, --separator, --format or --table")
}
if in.list {
return argPath, nil
}
if len(in.paths) != 1 {
return argPath, fmt.Errorf("expected one path or template, got %d%s", len(in.paths), templateSplit(in.paths))
}
return classify(in.paths[0])
}
func (in invocation) options() []fejkdata.Option {
var opts []fejkdata.Option
if in.noShipped {
@@ -301,141 +208,17 @@ func (in invocation) options() []fejkdata.Option {
return opts
}
// write streams the argument's renders to w, repeat of them joined by the
// separator and ended by a newline. A value that renders once renders every time,
// so a render failure comes before anything is written; a write failure surfaces
// from Flush, bufio keeping the first one.
func (in invocation) write(f *fejkdata.Generator, kind argKind, w io.Writer) error {
if in.writesRecords() {
return in.writeRecords(f, kind, w)
}
draw, err := in.textDraw(f, kind, in.paths[0])
if err != nil {
return err
}
out := bufio.NewWriter(w)
for i := 0; i < in.repeat; i++ {
v, err := draw()
// values renders the path repeat times, joined by the separator.
func (in invocation) values(f *fejkdata.Generator) (string, error) {
vals := make([]string, in.repeat)
for i := range vals {
v, err := f.Fake(in.paths[0])
if err != nil {
return err
return "", err
}
if i > 0 {
out.WriteString(in.separator)
}
out.WriteString(v)
vals[i] = v
}
out.WriteString("\n")
return out.Flush()
}
// textDraw builds what one text render yields: the value, from a path or an
// inline template.
func (in invocation) textDraw(f *fejkdata.Generator, kind argKind, arg string) (func() (string, error), error) {
if kind != argTemplate {
return func() (string, error) { return f.Fake(arg) }, nil
}
t, err := f.NewTemplate(arg)
if err != nil {
return nil, templateError{err}
}
return func() (string, error) { return t.Fake(), nil }, nil
}
// recordStream builds the record drawer for the argument, plus the INSERT table
// a sql format names.
func (in invocation) recordStream(f *fejkdata.Generator, kind argKind, arg string) (func() (*fejkdata.Record, error), string, error) {
record := func() (*fejkdata.Record, error) { return f.FakeRecord(arg) }
if kind == argTemplate {
t, err := f.NewRecordTemplate(arg)
if err != nil {
return nil, "", templateError{err}
}
record = func() (*fejkdata.Record, error) { return t.Fake(), nil }
}
table := in.table
if table == "" {
table = defaultTable(arg, kind)
}
return record, table, nil
}
// writeRecords streams a record per line in the chosen format, framing a document
// form with its open/close brackets and a header preceding the first record.
func (in invocation) writeRecords(f *fejkdata.Generator, kind argKind, w io.Writer) error {
record, table, err := in.recordStream(f, kind, in.paths[0])
if err != nil {
return err
}
format := recordFormats[in.format]
out := bufio.NewWriter(w)
if format.open != "" {
out.WriteString(format.open)
out.WriteByte('\n')
}
for i := 0; i < in.repeat; i++ {
r, err := record()
if err != nil {
return err
}
if i == 0 && format.header != nil {
out.WriteString(format.header(r))
out.WriteByte('\n')
}
if i > 0 {
out.WriteString(format.sep)
}
out.WriteString(format.line(r, table))
}
if format.close != "" {
out.WriteByte('\n')
out.WriteString(format.close)
}
out.WriteByte('\n')
return out.Flush()
}
// defaultTable names the INSERT target when --table is absent: the path's last
// segment, or "records" for an inline template that sits in no folder.
func defaultTable(arg string, kind argKind) string {
if kind == argTemplate {
return "records"
}
var names strings.Builder // the path with its [selectors] cut out
for depth, i := 0, 0; i < len(arg); i++ {
switch {
case arg[i] == '[':
depth++
case arg[i] == ']':
depth--
case depth == 0:
names.WriteByte(arg[i])
}
}
segments := strings.Split(names.String(), ".")
return segments[len(segments)-1]
}
// templateError marks a render failure that is the argument's own fault — an
// inline template that does not compile. run reports it as misuse (exit 2, with a
// pointer to --help), unlike an unknown path, which is a runtime error (exit 1).
type templateError struct{ error }
func (e templateError) Unwrap() error { return e.error }
type argKind int
const (
argPath argKind = iota
argTemplate
)
// classify reads what a positional argument names by its shape (see fejkdata.IsTemplate).
func classify(arg string) (argKind, error) {
inline, err := fejkdata.IsTemplate(arg)
if inline {
return argTemplate, nil
}
return argPath, err
return strings.Join(vals, in.separator), nil
}
func main() { os.Exit(run(os.Args[1:], os.Stdout, os.Stderr)) }
@@ -454,8 +237,7 @@ func run(args []string, stdout, stderr io.Writer) int {
fmt.Fprintln(stdout, "fejkdata "+buildVersion())
return 0
}
kind, err := in.check()
if err != nil {
if err := in.check(); err != nil {
return misuse(stderr, err)
}
f, err := fejkdata.New(in.options()...)
@@ -472,34 +254,17 @@ func run(args []string, stdout, stderr io.Writer) int {
}
return 0
}
if err := in.write(f, kind, stdout); err != nil {
var te templateError
if errors.As(err, &te) {
return misuse(stderr, te.error)
}
out, err := in.values(f)
if err != nil {
fmt.Fprintln(stderr, err)
if errors.Is(err, fejkdata.ErrNoColumns) {
fmt.Fprintln(stderr, "wrap that JSON in single quotes, which keep a shell from expanding its braces")
}
return 1
}
fmt.Fprintln(stdout, out)
return 0
}
// templateSplit names the cure for a template a shell split on its spaces, which is
// what several arguments carrying a token mean.
func templateSplit(paths []string) string {
for _, p := range paths {
if strings.Contains(p, "{") {
return `; a template's spaces split the argument, so wrap the whole argument in "…", or in '…' where it carries double quotes`
}
}
return ""
}
func misuse(stderr io.Writer, err error) int {
// A library error already names the program, so the prefix is not doubled.
fmt.Fprintf(stderr, "fejkdata: %s\ntry 'fejkdata --help'\n", strings.TrimPrefix(err.Error(), "fejkdata: "))
fmt.Fprintf(stderr, "fejkdata: %v\ntry 'fejkdata --help'\n", err)
return 2
}
cmd/fejkdata/main_test.go
+4 -288
View File
@@ -2,11 +2,8 @@ package main
import (
"bytes"
"encoding/csv"
"encoding/json"
"os"
"path/filepath"
"regexp"
"strings"
"testing"
)
@@ -14,7 +11,6 @@ import (
const (
svSE = "../../data/sv_SE"
enUS = "../../data/en_US"
misc = "../../data/misc"
)
func runOut(args ...string) (int, string, string) {
@@ -96,7 +92,7 @@ func TestRunShortFlagValues(t *testing.T) {
{[]string{"-s=42", "-d", svSE, "address"}, "-s42"},
{[]string{"-s=42", "-d", svSE, "address"}, "--seed=42"},
{[]string{"-d=" + svSE, "address"}, "--data-path="},
{[]string{"-nd", "3", "-d", svSE, "word"}, `--repeat needs an integer in 1..1048576, got "d"`},
{[]string{"-nd", "3", "-d", svSE, "word"}, `--repeat needs a positive integer, got "d"`},
{[]string{"--seed=", "-d", svSE, "word"}, `--seed needs an unsigned integer, got ""`},
} {
code, out, errb := runOut(c.args...)
@@ -223,14 +219,6 @@ func TestRunMisuse(t *testing.T) {
t.Errorf("run(%v) stdout = %q, want nothing", args, out)
}
}
// A template a shell split names both quotings, since which one cures it turns
// on whether the argument carries a double-quoted JSON.
_, _, errb := runOut("{date(1990-01-01,2010-12-31,", "January", "2,", "2006)}")
for _, want := range []string{`wrap the whole argument in "…"`, `or in '…'`} {
if !strings.Contains(errb, want) {
t.Errorf("a split template stderr = %q, want it to name %s", errb, want)
}
}
}
func TestRunMultipleDataPaths(t *testing.T) {
@@ -313,115 +301,15 @@ func TestRunShippedDataByDefault(t *testing.T) {
}
}
func TestClassify(t *testing.T) {
for arg, want := range map[string]argKind{"sv_SE.person": argPath, "name: {x}": argTemplate} {
if got, err := classify(arg); err != nil || got != want {
t.Errorf("classify(%q) = %v, %v; want %v", arg, got, err, want)
}
}
if _, err := classify("[abc]"); err == nil || !strings.Contains(err.Error(), `"["`) || !strings.Contains(err.Error(), "JSON") {
t.Errorf("classify([abc]) = %v; want it rejected naming the leading bracket", err)
}
if got, err := classify("geo.SE.municipality[St. Louis].name"); err != nil || got != argPath {
t.Errorf("classify(a selecting path) = %v, %v; want a path", got, err)
}
}
func TestRunSelectsATableRow(t *testing.T) {
dir := t.TempDir()
for name, content := range map[string]string{
"region.json": `{"format":"{name}","rows":"region.tsv","key":"code","name":"name"}`,
"region.tsv": "code\tname\n01\tStockholms län\n12\tSkåne län\n",
} {
if err := os.WriteFile(filepath.Join(dir, name), []byte(content), 0o644); err != nil {
t.Fatal(err)
}
}
if code, out, errb := runOut("--no-shipped-data", "-d", dir, "region[12]"); code != 0 || out != "Skåne län\n" {
t.Fatalf("region[12] = %d, %q, stderr=%q", code, out, errb)
}
if code, out, _ := runOut("--no-shipped-data", "-d", dir, "region[Skåne län].code"); code != 0 || out != "12\n" {
t.Fatalf("region[Skåne län].code = %d, %q", code, out)
}
if code, out, _ := runOut("--no-shipped-data", "-d", dir, "--format", "sql", "region[12]"); code != 0 || out != `INSERT INTO "region" ("code", "name") VALUES ('12', 'Skåne län');`+"\n" {
t.Fatalf("--format sql region[12] = %d, %q, want the table named without its selector", code, out)
}
if code, _, errb := runOut("--no-shipped-data", "-d", dir, "region[99]"); code != 1 || !strings.Contains(errb, `"99"`) {
t.Fatalf("region[99] = %d, stderr=%q, want a runtime error naming the row", code, errb)
}
if code, _, errb := runOut("--no-shipped-data", "-d", dir, "[Skåne län]"); code != 2 || !strings.Contains(errb, "JSON") {
t.Fatalf("[Skåne län] = %d, stderr=%q, want misuse: a leading bracket that is no JSON names nothing", code, errb)
}
if code, out, _ := runOut("--seed", "1", "--format", "csv", "misc.territory[SE]"); code != 0 || !strings.HasPrefix(out, "alpha2,") || !strings.Contains(out, "\nSE,SWE,") {
t.Fatalf("--format csv misc.territory[SE] = %d, %q", code, out)
}
}
func TestUsageReferencesResolve(t *testing.T) {
for _, token := range regexp.MustCompile(`\{/[^}]+\}`).FindAllString(usage, -1) {
path := token[2 : len(token)-1]
code, out, errb := runOut("--seed", "1", path)
if code != 0 || strings.TrimSpace(out) == "" {
t.Errorf("usage advertises %s: run %s = %d, %q, stderr %q", token, path, code, out, errb)
}
}
}
func TestRunShapeMisuseBeforeLoad(t *testing.T) {
code, _, errb := runOut("--no-shipped-data", "[abc]")
if code != 2 || !strings.Contains(errb, "[abc]") || strings.Contains(errb, "--data-path") {
t.Fatalf("shape misuse with no data = %d, %q; want the shape error before any load", code, errb)
}
}
func TestRunInlineTemplate(t *testing.T) {
code, out, errb := runOut("--seed", "1", "name: {/sv_SE.person.last}")
if code != 0 || !strings.HasPrefix(out, "name: ") || strings.Contains(out, "{") {
t.Fatalf("inline format string = %d, %q, stderr %q", code, out, errb)
}
code, out, errb = runOut("--seed", "1", `{"format":"name: {x}","x":["bosse","lina"]}`)
if code != 0 || (out != "name: bosse\n" && out != "name: lina\n") {
t.Fatalf("inline JSON template = %d, %q, want one name, stderr %q", code, out, errb)
}
code, out, errb = runOut("--seed", "1", `"name: {/sv_SE.person.last}"`)
if code != 0 || !strings.HasPrefix(out, "name: ") || strings.Contains(out, "{") {
t.Fatalf("inline JSON string = %d, %q, stderr %q", code, out, errb)
}
code, out, errb = runOut("--seed", "1", "-n", "2", `{digits(1)}`)
if code != 0 || len(strings.Split(strings.TrimRight(out, "\n"), "\n")) != 2 {
t.Fatalf("inline template with --repeat = %d, %q, stderr %q", code, out, errb)
}
}
func TestRunTemplateMisuse(t *testing.T) {
for arg, want := range map[string]string{
"{bad": "unterminated",
"[red,green]": `starts with "["`,
`{"format":"x"}`: "is a string",
"name: {/no.such.path}": "no entry",
"{/sv_SE.person}": "write sv_SE.person",
"x[1]y": `"]"`,
` ["a","b"] `: "may not be padded",
} {
code, out, errb := runOut("--seed", "1", arg)
if code != 2 || out != "" || !strings.Contains(errb, "try 'fejkdata --help'") || !strings.Contains(errb, want) {
t.Errorf("run(%q) = %d, %q, %q; want misuse naming %q and --help", arg, code, out, errb, want)
}
if strings.Contains(errb, "fejkdata: fejkdata:") {
t.Errorf("run(%q) doubled the program prefix: %q", arg, errb)
}
}
}
func TestRunNoShippedData(t *testing.T) {
code, list, errb := runOut("--no-shipped-data", "-d", misc, "--list")
code, list, errb := runOut("--no-shipped-data", "-d", svSE, "--list")
if code != 0 {
t.Fatalf("run = %d, stderr=%q", code, errb)
}
if strings.Contains(list, "sv_SE") || !strings.Contains(list, "uuid\n") {
if strings.Contains(list, "en_US") || !strings.Contains(list, "person\n") {
t.Errorf("--no-shipped-data --list = %q, want only the given dir", list)
}
code, out, _ := runOut("--no-shipped-data", "-d", misc, "-s", "3", "uuid")
code, out, _ := runOut("--no-shipped-data", "-d", svSE, "-s", "3", "person")
if code != 0 || strings.TrimSpace(out) == "" {
t.Errorf("run = %d, out=%q", code, out)
}
@@ -467,175 +355,3 @@ func TestRunUnknownFlagIsNamedByRune(t *testing.T) {
t.Errorf("run(-ä) = %d, %q, want the flag named whole", code, errb)
}
}
func TestRunEmptyDataPathIsNamed(t *testing.T) {
code, _, errb := runOut("--data-path=", "sv_SE.word")
if code != 1 || !strings.Contains(errb, "empty") {
t.Errorf("run(--data-path=) = %d, %q, want the empty path named", code, errb)
}
}
func recordDir(t *testing.T) string {
t.Helper()
dir := t.TempDir()
content := `{"format":"{first} {last}","first":["Ada","Bo"],"last":["Lovelace","Ek"]}`
if err := os.WriteFile(filepath.Join(dir, "users.json"), []byte(content), 0o644); err != nil {
t.Fatal(err)
}
return dir
}
func TestRunRecordJSON(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "json", "--repeat", "2", "--data-path", recordDir(t), "users")
if code != 0 {
t.Fatalf("run = %d, stderr=%q", code, errb)
}
var arr []map[string]string
if err := json.Unmarshal([]byte(out), &arr); err != nil {
t.Fatalf("json output is not one JSON array: %v\n%q", err, out)
}
if len(arr) != 2 || len(arr[0]) != 2 || arr[0]["first"] == "" || arr[0]["last"] == "" {
t.Fatalf("json output = %q, want an array of two records with first and last columns", out)
}
}
func TestRunRecordNDJSON(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "ndjson", "--repeat", "2", "--data-path", recordDir(t), "users")
if code != 0 {
t.Fatalf("run = %d, stderr=%q", code, errb)
}
lines := strings.Split(strings.TrimRight(out, "\n"), "\n")
if len(lines) != 2 {
t.Fatalf("ndjson output = %d lines %q, want one object per line", len(lines), out)
}
for _, line := range lines {
var m map[string]string
if err := json.Unmarshal([]byte(line), &m); err != nil || len(m) != 2 {
t.Fatalf("ndjson line %q is not one object: %v", line, err)
}
}
}
func TestRunRecordCSVRoundTrips(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "csv", "--repeat", "3", "--data-path", recordDir(t), "users")
if code != 0 {
t.Fatalf("run = %d, stderr=%q", code, errb)
}
lines := strings.Split(strings.TrimRight(out, "\n"), "\n")
if len(lines) != 4 {
t.Fatalf("csv output = %d lines %q, want a header and 3 rows", len(lines), out)
}
if lines[0] != "first,last" {
t.Fatalf("csv header = %q, want first,last", lines[0])
}
r, err := csv.NewReader(strings.NewReader(out)).ReadAll()
if err != nil {
t.Fatalf("csv output is not valid CSV: %v", err)
}
if len(r) != 4 || len(r[0]) != 2 {
t.Fatalf("csv parsed to %v, want 4 records of 2 fields", r)
}
}
func TestRunRecordSQL(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "sql", "--repeat", "2", "--table", "people", "--data-path", recordDir(t), "users")
if code != 0 {
t.Fatalf("run = %d, stderr=%q", code, errb)
}
lines := strings.Split(strings.TrimRight(out, "\n"), "\n")
if len(lines) != 2 || !strings.HasPrefix(lines[0], `INSERT INTO "people" ("first", "last") VALUES (`) {
t.Fatalf("sql output = %q, want two INSERT INTO people statements", out)
}
}
func TestRunRecordDefaultTable(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "sql", "--data-path", recordDir(t), "users")
if code != 0 || !strings.HasPrefix(out, `INSERT INTO "users" (`) {
t.Fatalf("default table = %d, %q, want the path's last segment; stderr %q", code, out, errb)
}
}
func TestRunRecordInlineTemplate(t *testing.T) {
code, out, errb := runOut("--seed", "1", "--format", "json", `{"format":"{x}","x":["a","b"]}`)
if code != 0 {
t.Fatalf("inline record = %d, stderr=%q", code, errb)
}
var arr []map[string]string
if err := json.Unmarshal([]byte(out), &arr); err != nil || len(arr) != 1 || (arr[0]["x"] != "a" && arr[0]["x"] != "b") {
t.Fatalf("inline record json = %q, want one record with a column x (err %v)", out, err)
}
}
func TestRunRecordMisuse(t *testing.T) {
for _, c := range []struct {
args []string
want string
}{
{[]string{"--format", "yaml", "users"}, "--format takes csv, json, ndjson, sql or text"},
{[]string{"--format", "json", "--separator", ",", "users"}, "--separator joins text values"},
{[]string{"--table", "t", "users"}, "--table names the INSERT target"},
{[]string{"--format", "json", "--table", "t", "users"}, "--table names the INSERT target"},
{[]string{"--format", "sql", "--table", "", "users"}, "--table names the INSERT target"},
} {
code, out, errb := runOut(c.args...)
if code != 2 || out != "" || !strings.Contains(errb, c.want) {
t.Errorf("run(%v) = %d, %q, %q; want misuse naming %q", c.args, code, out, errb, c.want)
}
}
}
func TestRunRecordOnABareValueIsRuntimeError(t *testing.T) {
dir := t.TempDir()
if err := os.WriteFile(filepath.Join(dir, "word.json"), []byte(`["a","b"]`), 0o644); err != nil {
t.Fatal(err)
}
code, _, errb := runOut("--format", "json", "--data-path", dir, "word")
if code != 1 {
t.Fatalf("record on a choice = %d, want exit 1 (runtime error), stderr %q", code, errb)
}
}
func TestRunRecordRejectsATopLevelRepeat(t *testing.T) {
dir := t.TempDir()
content := `{"format":"{a}-","repeat":3,"separator":"|","a":["x","y"]}`
if err := os.WriteFile(filepath.Join(dir, "rep.json"), []byte(content), 0o644); err != nil {
t.Fatal(err)
}
code, _, errb := runOut("--format", "json", "--data-path", dir, "rep")
if code != 1 || !strings.Contains(errb, "carries repeat 3") {
t.Errorf("record on a repeating path = %d, %q; want exit 1 naming the repeat", code, errb)
}
code, _, errb = runOut("--format", "json", content)
if code != 2 || !strings.Contains(errb, "carries repeat 3") {
t.Errorf("record on a repeating inline template = %d, %q; want exit 2 naming the repeat", code, errb)
}
if code, out, _ := runOut("--seed", "1", "--data-path", dir, "rep"); code != 0 || strings.TrimSpace(out) != "x-|x-|x-" {
t.Errorf("text view = %d, %q; want the repeat still composed", code, out)
}
}
func TestRunNumbersFollowTheShell(t *testing.T) {
_, want, _ := runOut("--seed", "7", "--repeat", "3", "sv_SE.word")
code, got, errb := runOut("--seed", "007", "--repeat", "+3", "sv_SE.word")
if code != 0 || got != want {
t.Errorf("run(--seed 007 --repeat +3) = %d, %q, stderr %q; want the same as --seed 7 --repeat 3 %q", code, got, errb, want)
}
}
// TestRunRecordOfAFieldlessPath pins the way out of asking a category of one value
// for columns: the record to write, and the quoting a shell needs to take it. The
// argument is well-formed and only the data cannot serve it, so the code is 1.
func TestRunRecordOfAFieldlessPath(t *testing.T) {
code, out, errb := runOut("--format", "csv", "sv_SE.personnummer")
if code != 1 {
t.Fatalf("run(--format csv sv_SE.personnummer) = %d, want 1", code)
}
for _, want := range []string{`{"format":"","personnummer":"{/sv_SE.personnummer}"}`, "single quotes"} {
if !strings.Contains(errb, want) {
t.Errorf("stderr = %q, want it to name %s", errb, want)
}
}
if out != "" {
t.Errorf("stdout = %q, want nothing", out)
}
}
compose.yaml
-8
View File
@@ -24,7 +24,6 @@ x-go: &go
HOME: /cache
GOCACHE: /cache/build
GOMODCACHE: /cache/mod
REPIN: ${REPIN:-}
services:
test:
@@ -64,12 +63,5 @@ services:
<<: *go
command: sh
data-import:
image: python:3.14.7-slim
working_dir: /app
volumes:
- .:/app
entrypoint: python3
volumes:
gocache:
data-import/currency.py
-68
View File
@@ -1,68 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/currency.tsv from datasets/currency-codes (PDDL) and CLDR's symbols (Unicode).
data-import/currency.py [--source URL_OR_FILE] [--symbols URL_OR_FILE ...] [--cache DIR] [--out FILE]
The symbols come from the first locale file that has one, narrow symbols before wide.
"""
import argparse
import csv
import io
import xml.etree.ElementTree as ET
from pathlib import Path
import source
import tsv
SOURCE = "https://raw.githubusercontent.com/datasets/currency-codes/main/data/codes-all.csv"
SYMBOLS = [
"https://raw.githubusercontent.com/unicode-org/cldr/main/common/main/en.xml",
"https://raw.githubusercontent.com/unicode-org/cldr/main/common/main/root.xml",
]
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "currency.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["code", "decimals", "name", "numeric", "symbol"]
def symbols(xml_texts):
"""CLDR's symbol per code: the first locale's narrow symbol, else the first locale's wide one."""
narrow, wide = {}, {}
for text in xml_texts:
for c in ET.fromstring(text).iter("currency"):
for s in c.findall("symbol"):
into = narrow if s.get("alt") == "narrow" else wide if s.get("alt") is None else None
if into is not None:
into.setdefault(c.get("type"), s.text)
return {**wide, **narrow}
def rows(text, symbol):
seen = set()
for r in csv.DictReader(io.StringIO(text)):
code = r["AlphabeticCode"]
if not code or code in seen or r["WithdrawalDate"] or r["Entity"].startswith("ZZ") or not r["MinorUnit"].isdigit():
continue
seen.add(code)
yield {
"code": code,
"decimals": r["MinorUnit"],
"name": r["Currency"],
"numeric": r["NumericCode"].zfill(3),
"symbol": symbol.get(code, code),
}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--symbols", nargs="+", default=SYMBOLS)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
symbol = symbols(source.fetch(s, a.cache, Path(s).name).decode("utf-8") for s in a.symbols)
table = rows(source.fetch(a.source, a.cache, "codes-all.csv").decode("utf-8"), symbol)
tsv.write(a.out, COLUMNS, sorted(table, key=lambda r: r["code"]))
if __name__ == "__main__":
main()
data-import/geo-se.py
-234
View File
@@ -1,234 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/geo/SE/*.tsv from SCB (CC0), GeoNames (CC BY 4.0) and Trafikverket NVDB (CC0).
TRAFIKVERKET_API_KEY=… data-import/geo-se.py [--key-file FILE] [--cache DIR] [--streets-per-locality N] [--out DIR]
"""
import argparse
import collections
import csv
import io
import json
import math
import os
import re
import sys
import urllib.request
import zipfile
from pathlib import Path
import source
import tsv
import xlsx
CODES = "https://www.scb.se/contentassets/7a89e48960f741e08918e489ea36354a/kommunlankod-2026.xlsx"
POPULATION = "https://api.scb.se/OV0104/v1/doris/sv/ssd/START/BE/BE0101/BE0101A/BefolkningNy"
POPULATION_QUERY = {
"query": [
{"code": "Region", "selection": {"filter": "all", "values": ["*"]}},
{"code": "ContentsCode", "selection": {"filter": "item", "values": ["BE0101N1"]}},
{"code": "Tid", "selection": {"filter": "top", "values": ["1"]}},
],
"response": {"format": "json"},
}
TATORTER = "https://geodata.scb.se/geoserver/stat/wfs?service=WFS&version=2.0.0&request=GetFeature&typeNames=stat:Tatorter_2023&outputFormat=csv&propertyName=tatort,kommun,bef"
POSTAL_CODES = "https://download.geonames.org/export/zip/SE.zip"
NVDB = "https://api.trafikinfo.trafikverket.se/v2/data.json"
NVDB_PAGE = 50000
OUT = Path(__file__).resolve().parent.parent / "data" / "geo" / "SE"
CACHE = Path(__file__).resolve().parent / "cache"
TIMEZONE = "Europe/Stockholm"
ONE_POSITION = {"Stockholm", "Göteborg", "Malmö"}
UNMATCHED_POPULATION = 200
def scb_codes(cache):
regions, municipalities = {}, {}
for cells in xlsx.rows(source.fetch(CODES, cache, "kommunlankod.xlsx", magic=b"PK")):
if len(cells) < 2 or not re.fullmatch(r"\d{2}|\d{4}", cells[0]):
continue
(regions if len(cells[0]) == 2 else municipalities)[cells[0]] = cells[1].strip()
return regions, municipalities
def scb_population(cache):
body = json.dumps(POPULATION_QUERY).encode()
data = source.fetch(POPULATION, cache, "befolkning.json", data=body, headers={"Content-Type": "application/json"})
return {row["key"][0]: row["values"][0] for row in json.loads(data.decode("utf-8-sig"))["data"]}
def scb_tatorter(cache):
text = source.fetch(TATORTER, cache, "tatorter.csv").decode("utf-8")
by_name = collections.defaultdict(list)
for r in csv.DictReader(io.StringIO(text)):
by_name[r["tatort"]].append((r["kommun"], int(r["bef"])))
return by_name
def geonames(cache):
z = zipfile.ZipFile(io.BytesIO(source.fetch(POSTAL_CODES, cache, "SE.zip", magic=b"PK")))
rows = []
for line in z.read("SE.txt").decode("utf-8").splitlines():
f = line.split("\t")
lat, lon = (float(f[9]), float(f[10])) if f[9] and f[10] else (None, None)
rows.append({"code": f[1], "locality": f[2], "municipality": f[6], "lat": lat, "lon": lon})
return rows
def nvdb_segments(cache, key):
path = cache / "nvdb-gatunamn.tsv"
if not path.exists():
with open(path.with_suffix(".part"), "w", encoding="utf-8") as out:
change = "0"
while True:
query = (
f'<REQUEST><LOGIN authenticationkey="{key}"/>'
f'<QUERY objecttype="Gatunamn" namespace="vägdata.nvdb_dk_o" schemaversion="1.0" limit="{NVDB_PAGE}" changeid="{change}">'
"<FILTER><EQ name=\"Deleted\" value=\"false\"/></FILTER>"
"<INCLUDE>Namn</INCLUDE><INCLUDE>Geometry.WKT-WGS84-3D</INCLUDE></QUERY></REQUEST>"
)
req = urllib.request.Request(NVDB, data=query.encode(), headers={"Content-Type": "text/xml"})
with urllib.request.urlopen(req, timeout=600) as r:
result = json.load(r)["RESPONSE"]["RESULT"][0]
rows = result.get("Gatunamn", [])
for row in rows:
m = re.match(r"LINESTRING Z \(([-\d.]+) ([-\d.]+) ", row.get("Geometry", {}).get("WKT-WGS84-3D", ""))
name = " ".join(row.get("Namn", "").split())
if m and name:
out.write(f"{name}\t{m.group(1)}\t{m.group(2)}\n")
change = result["INFO"]["LASTCHANGEID"]
if len(rows) < NVDB_PAGE:
break
path.with_suffix(".part").rename(path)
for line in path.read_text(encoding="utf-8").splitlines():
name, lon, lat = line.split("\t")
yield name, float(lat), float(lon)
class Nearest:
"""Nearest point by an equirectangular distance, over a degree grid."""
def __init__(self, points, cell=0.05):
self.cell = cell
self.grid = collections.defaultdict(list)
for lat, lon, value in points:
self.grid[(int(lat // cell), int(lon // cell))].append((lat, lon, value))
def find(self, lat, lon):
ci, cj = int(lat // self.cell), int(lon // self.cell)
best, best_d = None, math.inf
ring = 0
while ring < 400:
for i in range(ci - ring, ci + ring + 1):
for j in range(cj - ring, cj + ring + 1):
if max(abs(i - ci), abs(j - cj)) != ring:
continue
for plat, plon, value in self.grid.get((i, j), ()):
d = (plat - lat) ** 2 + ((plon - lon) * math.cos(math.radians(lat))) ** 2
if d < best_d:
best, best_d = value, d
if best is not None and math.sqrt(best_d) < ring * self.cell * math.cos(math.radians(lat)):
return best
ring += 1
return best
def street_delivery(name, codes):
"""The codes delivered to a street: the digit after the postort's own prefix says box, company or reply."""
if name in ONE_POSITION:
return [c for c in codes if c[1] != "0"]
largest = collections.Counter(c[:3] for c in codes).most_common(1)[0][1]
length = 3 if largest * 2 >= len(codes) else 2
return [c for c in codes if c[length] not in "018"]
def municipality_of(name, rows, tatorter, municipalities):
named = [code for code, n in municipalities.items() if n == name]
if named:
return named[0], "kommun"
voted = collections.Counter(r["municipality"] for r in rows if r["municipality"] in municipalities)
matches = tatorter.get(name, [])
if matches:
in_vote = [m for m in matches if voted and m[0] == voted.most_common(1)[0][0]]
return max(in_vote or matches, key=lambda m: m[1])[0], "tatort"
if voted:
return voted.most_common(1)[0][0], "codes"
return None, "unplaced"
def population_of(name, municipality, tatorter, municipalities, population):
matches = [m for m in tatorter.get(name, []) if m[0] == municipality]
if matches:
return str(max(m[1] for m in matches))
return population[municipality] if municipalities[municipality] == name else str(UNMATCHED_POPULATION)
def well_cased(name):
return all(part[:1].isupper() and (len(part) == 1 or not part.isupper()) for part in re.split(r"[ -]", name))
def localities(codes, tatorter, municipalities, population):
"""Each postort with its municipality, weight, centroid and street-delivery codes."""
by_locality = collections.defaultdict(list)
for r in codes:
by_locality[r["locality"]].append(r)
out, how = {}, collections.Counter()
for name, rows in by_locality.items():
municipality, method = municipality_of(name, rows, tatorter, municipalities)
how[method] += 1
kept = street_delivery(name, [r["code"].replace(" ", "") for r in rows])
with_point = [r for r in rows if r["lat"] is not None]
if municipality is None or not kept or not with_point or not well_cased(name):
continue
lat = sum(r["lat"] for r in with_point) / len(with_point)
lon = sum(r["lon"] for r in with_point) / len(with_point)
out[name] = {"name": name, "municipality": municipality, "population": population_of(name, municipality, tatorter, municipalities, population), "lat": f"{lat:.4f}", "lon": f"{lon:.4f}", "codes": kept}
print(f"municipality by {dict(how)}; {len(by_locality) - len(out)} postorter dropped", file=sys.stderr)
return out
def streets(segments, codes, localities, per_locality):
"""The names with most segments per locality, each segment at its nearest code centroid."""
nearest = Nearest((r["lat"], r["lon"], r["locality"]) for r in codes if r["lat"] is not None and r["locality"] in localities)
count = collections.Counter()
for name, lat, lon in segments:
if name[0].isalpha():
count[(nearest.find(lat, lon), name)] += 1
of = collections.defaultdict(list)
for (locality, name), n in count.items():
of[locality].append((n, name))
return {locality: [{"name": name, "locality": locality, "segments": n} for n, name in sorted(named, key=lambda s: (-s[0], s[1]))[:per_locality]] for locality, named in of.items()}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--key-file", help="file holding the Trafikverket API key; TRAFIKVERKET_API_KEY otherwise")
p.add_argument("--out", default=str(OUT))
p.add_argument("--streets-per-locality", type=int, default=10)
a = p.parse_args()
key = Path(a.key_file).read_text().strip() if a.key_file else os.environ.get("TRAFIKVERKET_API_KEY")
if not key:
sys.exit("set TRAFIKVERKET_API_KEY or pass --key-file")
cache, out = Path(a.cache), Path(a.out)
cache.mkdir(parents=True, exist_ok=True)
out.mkdir(parents=True, exist_ok=True)
regions, municipalities = scb_codes(cache)
population = scb_population(cache)
codes = geonames(cache)
places = localities(codes, scb_tatorter(cache), municipalities, population)
named = streets(nvdb_segments(cache, key), codes, places, a.streets_per_locality)
places = {name: l for name, l in places.items() if name in named}
empty = sorted(m for m in municipalities if not any(l["municipality"] == m for l in places.values()))
if empty:
sys.exit(f"municipalities without a locality: {empty}")
tsv.write(out / "region.tsv", ["code", "name", "population", "timezone"], [{"code": c, "name": n, "population": population[c], "timezone": TIMEZONE} for c, n in sorted(regions.items())])
tsv.write(out / "municipality.tsv", ["code", "name", "region", "population"], [{"code": c, "name": n, "region": c[:2], "population": population[c]} for c, n in sorted(municipalities.items())])
tsv.write(out / "locality.tsv", ["name", "municipality", "population", "lat", "lon"], [l for _, l in sorted(places.items())])
tsv.write(out / "postal-code.tsv", ["code", "locality"], sorted(({"code": f"{c[:3]} {c[3:]}", "locality": l["name"]} for l in places.values() for c in l["codes"]), key=lambda r: r["code"]))
tsv.write(out / "street.tsv", ["name", "locality", "segments"], [s for locality in sorted(named) for s in named[locality]])
if __name__ == "__main__":
main()
data-import/geo-us.py
-202
View File
@@ -1,202 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/geo/US/*.tsv from the Census Bureau's Gazetteer, population estimates, ZCTA relationships and TIGER/Line files (public domain).
data-import/geo-us.py [--cache DIR] [--min-population N] [--streets-per-locality N] [--out DIR]
"""
import argparse
import collections
import concurrent.futures
import csv
import io
import re
import struct
import sys
import zipfile
from pathlib import Path
import source
import tsv
GAZETTEER = "https://www2.census.gov/geo/docs/maps-data/data/gazetteer/2026_Gazetteer/2026_Gaz_{}_national.zip"
POPULATION = "https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/{}"
STATES = POPULATION.format("state/totals/NST-EST2025-ALLDATA.csv")
COUNTIES = POPULATION.format("counties/totals/co-est2025-alldata.csv")
PLACES = POPULATION.format("cities/totals/sub-est2025.csv")
ZCTA_PLACE = "https://www2.census.gov/geo/docs/maps-data/data/rel2020/zcta520/tab20_zcta520_place20_natl.txt"
TIGER = "https://www2.census.gov/geo/tiger/TIGER2025/{0}/tl_2025_{1}_{2}.zip"
OUT = Path(__file__).resolve().parent.parent / "data" / "geo" / "US"
CACHE = Path(__file__).resolve().parent / "cache"
ESTIMATE = "POPESTIMATE2025"
CDP = "57"
HIGHWAY = re.compile(r"\b(I- |Hwy |Highway |Loop |Rte |Route |Rd )\d")
SUFFIX = re.compile(r" (city and borough|city|town|village|borough|municipality|comunidad|zona urbana|metropolitan government|metro government|consolidated government|unified government|urban county|corporation|plantation)( \(balance\))?$")
# Places whose Census name is a merged government's; the postal city is what an address carries.
NAMES = {"1303440": "Athens", "1304204": "Augusta", "1349008": "Macon", "2148006": "Louisville", "3011397": "Butte", "4732742": "Hartsville", "4752006": "Nashville"}
TIMEZONES = {
"AK": "America/Anchorage", "AL": "America/Chicago", "AR": "America/Chicago", "AZ": "America/Phoenix",
"CA": "America/Los_Angeles", "CO": "America/Denver", "CT": "America/New_York", "DC": "America/New_York",
"DE": "America/New_York", "FL": "America/New_York", "GA": "America/New_York", "HI": "Pacific/Honolulu",
"IA": "America/Chicago", "ID": "America/Boise", "IL": "America/Chicago", "IN": "America/Indiana/Indianapolis",
"KS": "America/Chicago", "KY": "America/New_York", "LA": "America/Chicago", "MA": "America/New_York",
"MD": "America/New_York", "ME": "America/New_York", "MI": "America/Detroit", "MN": "America/Chicago",
"MO": "America/Chicago", "MS": "America/Chicago", "MT": "America/Denver", "NC": "America/New_York",
"ND": "America/Chicago", "NE": "America/Chicago", "NH": "America/New_York", "NJ": "America/New_York",
"NM": "America/Denver", "NV": "America/Los_Angeles", "NY": "America/New_York", "OH": "America/New_York",
"OK": "America/Chicago", "OR": "America/Los_Angeles", "PA": "America/New_York", "PR": "America/Puerto_Rico",
"RI": "America/New_York", "SC": "America/New_York", "SD": "America/Chicago", "TN": "America/Chicago",
"TX": "America/Chicago", "UT": "America/Denver", "VA": "America/New_York", "VT": "America/New_York",
"WA": "America/Los_Angeles", "WI": "America/Chicago", "WV": "America/New_York", "WY": "America/Denver",
}
def text(data):
try:
return data.decode("utf-8-sig")
except UnicodeDecodeError:
return data.decode("latin-1")
def gazetteer(cache, kind):
z = zipfile.ZipFile(io.BytesIO(source.fetch(GAZETTEER.format(kind), cache, f"gaz_{kind}.zip", magic=b"PK")))
rows = text(z.read(z.namelist()[0])).splitlines()
header = [h.strip() for h in rows[0].split("|")]
return [dict(zip(header, (c.strip() for c in row.split("|")))) for row in rows[1:]]
def csv_rows(cache, url, name):
return list(csv.DictReader(io.StringIO(text(source.fetch(url, cache, name)))))
def dbf_rows(data, wanted):
"""The records of a dBASE file, the wanted fields only."""
count, header_len, record_len = struct.unpack("<xxxxIHH", data[:12])
fields, pos = [], 32
while data[pos] != 0x0D:
name = data[pos:pos + 11].split(b"\0")[0].decode()
fields.append((name, data[pos + 16]))
pos += 32
pos = header_len
for _ in range(count):
record = data[pos:pos + record_len]
pos += record_len
if record[:1] == b"*":
continue
row, at = {}, 1
for name, length in fields:
if name in wanted:
row[name] = record[at:at + length].decode("utf-8", "replace").strip()
at += length
yield row
def tiger_zip(cache, kind, county):
return source.fetch(TIGER.format(kind.upper(), county, kind), cache, f"tl_{county}_{kind}.zip", magic=b"PK")
def tiger(cache, kind, county, wanted):
z = zipfile.ZipFile(io.BytesIO(tiger_zip(cache, kind, county)))
return dbf_rows(z.read(f"tl_2025_{county}_{kind}.dbf"), wanted)
def place_name(geoid, name):
if geoid in NAMES:
return NAMES[geoid]
stripped = SUFFIX.sub("", name)
if stripped == name:
print(f"{geoid}: no suffix stripped from {name!r}", file=sys.stderr)
return stripped
def localities(cache, min_population, counties):
"""Each shipped place with its county, population and centroid."""
place_population, county_part = {}, collections.defaultdict(list)
for r in csv_rows(cache, PLACES, "sub-est2025.csv"):
if r["SUMLEV"] == "162":
place_population[r["STATE"] + r["PLACE"]] = int(r[ESTIMATE])
elif r["SUMLEV"] == "157":
county_part[r["STATE"] + r["PLACE"]].append((int(r[ESTIMATE]), r["STATE"] + r["COUNTY"]))
out = {}
for r in gazetteer(cache, "place"):
geoid, population = r["GEOID"], place_population.get(r["GEOID"], 0)
if r["FUNCSTAT"] not in ("A", "F", "N") or r["LSAD"] == CDP or population < min_population or not county_part.get(geoid):
continue
county = max(county_part[geoid])[1]
if county not in counties:
print(f"{geoid} {r['NAME']}: county {county} unknown, dropped", file=sys.stderr)
continue
out[geoid] = {"code": geoid, "name": place_name(geoid, r["NAME"]), "municipality": county, "population": population, "lat": r["INTPTLAT"], "lon": r["INTPTLONG"]}
return out
def postal_codes(cache, localities):
"""Each ZCTA whose largest part inside an incorporated place lies in a shipped place."""
parts = {}
for r in csv.DictReader(io.StringIO(text(source.fetch(ZCTA_PLACE, cache, "zcta-place.txt"))), delimiter="|"):
if r["GEOID_ZCTA5_20"] and r["GEOID_PLACE_20"] and not r["NAMELSAD_PLACE_20"].endswith(" CDP"):
parts.setdefault(r["GEOID_ZCTA5_20"], []).append((int(r["AREALAND_PART"]), r["GEOID_PLACE_20"]))
largest = {zcta: max(p)[1] for zcta, p in parts.items()}
return {zcta: place for zcta, place in largest.items() if place in localities}
def streets(cache, counties, locality_of_zcta, per_locality):
"""The names with most TIGER address ranges per place, and the address ranges per ZCTA."""
with concurrent.futures.ThreadPoolExecutor(3) as pool:
list(pool.map(lambda c: (tiger_zip(cache, "addr", c), tiger_zip(cache, "featnames", c)), counties))
addresses, count = collections.Counter(), collections.Counter()
for county in counties:
zips = collections.defaultdict(set)
for r in tiger(cache, "addr", county, {"TLID", "ZIP"}):
if r["ZIP"] in locality_of_zcta:
zips[r["TLID"]].add(r["ZIP"])
addresses[r["ZIP"]] += 1
for r in tiger(cache, "featnames", county, {"TLID", "FULLNAME", "PAFLAG"}):
if r["PAFLAG"] == "P" and r["FULLNAME"] and not HIGHWAY.search(r["FULLNAME"]):
for z in zips.get(r["TLID"], ()):
count[(locality_of_zcta[z], r["FULLNAME"])] += 1
of = collections.defaultdict(list)
for (locality, name), n in count.items():
of[locality].append((n, name))
named = {locality: [{"name": name, "locality": locality, "addresses": n} for n, name in sorted(ranked, key=lambda s: (-s[0], s[1]))[:per_locality]] for locality, ranked in of.items()}
return named, addresses
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--min-population", type=int, default=25000)
p.add_argument("--out", default=str(OUT))
p.add_argument("--streets-per-locality", type=int, default=10)
a = p.parse_args()
cache, out = Path(a.cache), Path(a.out)
cache.mkdir(parents=True, exist_ok=True)
out.mkdir(parents=True, exist_ok=True)
state_population = {r["STATE"]: r[ESTIMATE] for r in csv_rows(cache, STATES, "nst-est2025.csv") if r["SUMLEV"] == "040"}
regions = {r["USPS"]: {"abbr": r["USPS"], "code": r["GEOID"], "name": r["NAME"], "population": state_population[r["GEOID"]], "timezone": TIMEZONES[r["USPS"]]} for r in gazetteer(cache, "state")}
county_population = {r["STATE"] + r["COUNTY"]: r[ESTIMATE] for r in csv_rows(cache, COUNTIES, "co-est2025.csv") if r["SUMLEV"] == "050"}
counties, unestimated = {}, collections.Counter()
for r in gazetteer(cache, "counties"):
if r["GEOID"] not in county_population:
unestimated[r["USPS"]] += 1
continue
counties[r["GEOID"]] = {"code": r["GEOID"], "name": r["NAME"], "region": r["USPS"], "population": county_population[r["GEOID"]]}
print(f"counties without a population estimate, dropped: {dict(unestimated)}", file=sys.stderr)
places = localities(cache, a.min_population, counties)
locality_of_zcta = postal_codes(cache, places)
named, addresses = streets(cache, sorted({l["municipality"] for l in places.values()}), locality_of_zcta, a.streets_per_locality)
for geoid in [l for l in places if l not in named]:
print(f"{geoid} {places[geoid]['name']}: no streets, dropped", file=sys.stderr)
del places[geoid]
kept_counties = {l["municipality"] for l in places.values()}
kept_regions = {counties[c]["region"] for c in kept_counties}
tsv.write(out / "region.tsv", ["abbr", "code", "name", "population", "timezone"], [r for _, r in sorted(regions.items()) if r["abbr"] in kept_regions])
tsv.write(out / "municipality.tsv", ["code", "name", "region", "population"], [c for _, c in sorted(counties.items()) if c["code"] in kept_counties])
tsv.write(out / "locality.tsv", ["code", "name", "municipality", "population", "lat", "lon"], [l for _, l in sorted(places.items())])
tsv.write(out / "postal-code.tsv", ["code", "locality", "addresses"], [{"code": z, "locality": l, "addresses": addresses[z]} for z, l in sorted(locality_of_zcta.items()) if addresses[z] and l in places])
tsv.write(out / "street.tsv", ["name", "locality", "addresses"], [s for locality in sorted(named) for s in named[locality]])
if __name__ == "__main__":
main()
data-import/httpmethod.py
-59
View File
@@ -1,59 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/httpmethod.tsv from the IANA HTTP Method Registry.
data-import/httpmethod.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
A method ships when the register cites RFC 9110 section 9.3 or RFC 5789 for it, which
is the eight HTTP defines and PATCH; the register's other entries do not. The
register's `yes` and `no` ship as `true` and `false`, which a consumer's boolean reads.
"""
import argparse
import csv
import io
import re
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://www.iana.org/assignments/http-methods/methods.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "httpmethod.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["idempotent", "method", "safe"]
CORE = re.compile(r"\[RFC9110, Section 9\.3\.|\[RFC5789, Section 2\]")
BOOLEAN = {"yes": "true", "no": "false"}
SELECTOR = '[]{}"|' # mirrors inSelector in table.go
EXPECTED = 9
def rows(text):
for r in csv.DictReader(io.StringIO(text)):
method = (r["Method Name"] or "").strip()
if not CORE.search(r["Reference"] or ""):
continue
if set(method) & set(SELECTOR):
sys.exit(f"{method}: a method holding one of {SELECTOR} is one a selector cannot spell")
answers = {}
for column in ("Safe", "Idempotent"):
answer = (r[column] or "").strip()
if answer not in BOOLEAN:
sys.exit(f"{method}: {column} {answer!r} is neither yes nor no")
answers[column] = BOOLEAN[answer]
yield {"idempotent": answers["Idempotent"], "method": method, "safe": answers["Safe"]}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = sorted(rows(source.fetch(a.source, a.cache, "http-methods.csv").decode("utf-8")), key=lambda r: r["method"])
if len(table) != EXPECTED:
sys.exit(f"{len(table)} methods cite RFC 9110 section 9.3 or RFC 5789, not {EXPECTED}; the register's Reference column has moved")
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/httpstatus.py
-40
View File
@@ -1,40 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/httpstatus.tsv from the IANA HTTP Status Code Registry.
data-import/httpstatus.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
What ships is the codes in use: a range, an unassigned code and a qualified reason are all skipped.
"""
import argparse
import csv
import io
from pathlib import Path
import source
import tsv
SOURCE = "https://www.iana.org/assignments/http-status-codes/http-status-codes-1.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "httpstatus.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["code", "reason"]
def rows(text):
for r in csv.DictReader(io.StringIO(text)):
code, reason = r["Value"].strip(), r["Description"].strip()
if code.isdigit() and reason and "(" not in reason and reason != "Unassigned":
yield {"code": code, "reason": reason}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = rows(source.fetch(a.source, a.cache, "http-status-codes-1.csv").decode("utf-8"))
tsv.write(a.out, COLUMNS, sorted(table, key=lambda r: int(r["code"])))
if __name__ == "__main__":
main()
data-import/language.py
-45
View File
@@ -1,45 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/language.tsv from datasets/language-codes (PDDL), the LoC ISO 639-2 register.
data-import/language.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
Only the 639-2 entries carrying a 639-1 code ship, since the alpha-2 code is the key.
"""
import argparse
import csv
import io
import re
from pathlib import Path
import source
import tsv
SOURCE = "https://raw.githubusercontent.com/datasets/language-codes/main/data/language-codes-full.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "language.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["code", "code3", "name"]
def name(english):
"""The register lists every synonym; the first, without its qualifier, is the one a selector spells."""
return re.sub(r"\s*\([^)]*\)", "", english.split(";")[0]).strip()
def rows(text):
for r in csv.DictReader(io.StringIO(text)):
if r["alpha2"]:
yield {"code": r["alpha2"], "code3": r["alpha3-t"] or r["alpha3-b"], "name": name(r["English"])}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = rows(source.fetch(a.source, a.cache, "language-codes-full.csv").decode("utf-8"))
tsv.write(a.out, COLUMNS, sorted(table, key=lambda r: r["code"]))
if __name__ == "__main__":
main()
data-import/loglevel.py
-68
View File
@@ -1,68 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/loglevel.tsv from RFC 5424 and POSIX <syslog.h>.
data-import/loglevel.py [--source URL_OR_FILE] [--posix URL_OR_FILE] [--cache DIR] [--out FILE]
Every severity in Table 2 ships, paired to POSIX's keywords by the order each source
lists them, which holds only because a keyword prefixes the severity RFC 5424 numbers
alike.
"""
import argparse
import html
import re
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://www.rfc-editor.org/rfc/rfc5424.txt"
POSIX = "https://pubs.opengroup.org/onlinepubs/9799919799/basedefs/syslog.h.html"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "loglevel.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["code", "keyword", "severity"]
TABLE = re.compile(r"Table 1\.\s+Syslog Message Facilities(.*?)Table 2\.\s+Syslog Message Severities", re.S)
ROW = re.compile(r"^ +(\d) +([A-Z][a-z]+): ", re.M)
SECTION = re.compile(r"severity level portion of the.*?macros:(.*?)The following shall be declared as functions", re.S)
MACRO = re.compile(r"\bLOG_([A-Z]+)\b")
EXPECTED = 8
def severities(text):
table = TABLE.search(text)
if not table:
sys.exit("the RFC holds no text between the facility and the severity caption; its tables have moved")
return ROW.findall(table.group(1))
def keywords(page):
section = SECTION.search(html.unescape(re.sub(r"<[^>]+>", "", page)))
if not section:
sys.exit("POSIX spells no severity list between its own caption and the function declarations; the page has moved")
return [m.lower() for m in MACRO.findall(section.group(1))]
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--posix", default=POSIX)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = sorted(severities(source.fetch(a.source, a.cache, "rfc5424.txt").decode("utf-8")))
codes = [code for code, _ in table]
if codes != [str(i) for i in range(EXPECTED)]:
sys.exit(f"the severity table numbers {codes}, not 0 through {EXPECTED - 1}")
words = keywords(source.fetch(a.posix, a.cache, "posix-syslog.h.html").decode("utf-8"))
if len(words) != EXPECTED:
sys.exit(f"POSIX lists {len(words)} severity macros, not {EXPECTED}: {words}")
rows = []
for (code, severity), keyword in zip(table, words):
if not severity.lower().startswith(keyword):
sys.exit(f"severity {code} is {severity} in the RFC and {keyword} in POSIX, which is no prefix of it")
rows.append({"code": code, "keyword": keyword, "severity": severity})
tsv.write(a.out, COLUMNS, rows)
if __name__ == "__main__":
main()
data-import/mimetype.py
-39
View File
@@ -1,39 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/mimetype.tsv from mime-db (MIT), the IANA media type registry with extensions.
data-import/mimetype.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
Only types mime-db records as IANA-registered, with a filename extension, ship.
"""
import argparse
import json
from pathlib import Path
import source
import tsv
SOURCE = "https://raw.githubusercontent.com/jshttp/mime-db/master/db.json"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "mimetype.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["ext", "type"]
FIXUPS = {"application/mp4": "mp4s", "audio/mpeg": "mp3", "audio/ogg": "ogg", "video/quicktime": "mov"}
def rows(db):
for mimetype, entry in db.items():
if entry.get("source") == "iana" and entry.get("extensions"):
yield {"ext": "." + FIXUPS.get(mimetype, entry["extensions"][0]), "type": mimetype}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = rows(json.loads(source.fetch(a.source, a.cache, "mime-db.json").decode("utf-8")))
tsv.write(a.out, COLUMNS, sorted(table, key=lambda r: r["type"]))
if __name__ == "__main__":
main()
data-import/names-se.py
-54
View File
@@ -1,54 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/sv_SE/first-name.tsv and last-name.tsv from SCB's whole-population name counts (CC0, "Källa: SCB").
data-import/names-se.py [--source URL_OR_FILE] [--first N] [--last N] [--cache DIR] [--out DIR]
A tilltalsnamn goes under each sex that carries it, so a name both sexes carry has two rows.
"""
import argparse
import re
from pathlib import Path
import source
import tsv
import xlsx
SOURCE = "https://www.scb.se/contentassets/9fe7dbb460994c72b835163dbc491ef9/namn-med-minst-tva-barare-31-december-2022.xlsx"
OUT = Path(__file__).resolve().parent.parent / "data" / "sv_SE"
CACHE = Path(__file__).resolve().parent / "cache"
SHEETS = {"f": "Tilltalsnamn kvinnor", "m": "Tilltalsnamn män"}
SURNAMES = "Efternamn"
NAME = re.compile(r"^[^\W\d_]{2,}([ '-][^\W\d_]{2,})*$")
PARTICLES = {"af", "av", "da", "de", "del", "den", "der", "di", "dos", "du", "la", "le", "van", "von"}
def cased(name):
"""SCB's uppercase name as it is written: each part capitalised, a particle before another part lowercased."""
parts = name.lower().split(" ")
return " ".join(w if w in PARTICLES and len(parts) > 1 else w.title() for w in parts)
def counted(rows, top):
"""The top names of a sheet by bearers, initials and single letters dropped."""
names = [(cells[0], int(cells[1])) for cells in rows if len(cells) >= 2 and cells[1].isdigit() and NAME.match(cells[0])]
return sorted(names, key=lambda n: (-n[1], n[0]))[:top]
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--first", type=int, default=2000, help="names per sex")
p.add_argument("--last", type=int, default=5000)
p.add_argument("--out", default=str(OUT))
p.add_argument("--source", default=SOURCE)
a = p.parse_args()
data = source.fetch(a.source, a.cache, "scb-namn-2022.xlsx", magic=b"PK")
first = [{"name": cased(n), "sex": sex, "count": c} for sex, sheet in SHEETS.items() for n, c in counted(xlsx.rows(data, sheet), a.first)]
last = [{"name": cased(n), "count": c} for n, c in counted(xlsx.rows(data, SURNAMES), a.last)]
out = Path(a.out)
tsv.write(out / "first-name.tsv", ["name", "sex", "count"], sorted(first, key=lambda r: (r["name"], r["sex"])))
tsv.write(out / "last-name.tsv", ["name", "count"], sorted(last, key=lambda r: r["name"]))
if __name__ == "__main__":
main()
data-import/names-us.py
-79
View File
@@ -1,79 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/en_US/first-name.tsv and last-name.tsv from SSA baby names and the Census 2010 surnames (public domain).
data-import/names-us.py [--names URL_OR_FILE] [--surnames URL_OR_FILE] [--from-year YEAR] [--first N] [--last N] [--cache DIR] [--out DIR]
A given name is counted over the births of --from-year and later, under each sex it was given to, so a
name both sexes carry has two rows. --names takes SSA's names.zip or a merged name,sex,count,year file;
--surnames takes the Census names.zip or its Names_2010Census.csv.
"""
import argparse
import collections
import csv
import io
import re
import zipfile
from pathlib import Path
import source
import tsv
NAMES = "https://raw.githubusercontent.com/hackerb9/ssa-baby-names/master/alldata.txt"
SURNAMES = "https://www2.census.gov/topics/genealogy/2010surnames/names.zip"
OUT = Path(__file__).resolve().parent.parent / "data" / "en_US"
CACHE = Path(__file__).resolve().parent / "cache"
MC = re.compile(r"^Mc([a-z])")
PLACEHOLDERS = {"Baby", "Female", "Infant", "Male", "Notnamed", "Unknown", "Unnamed"}
def csv_or_zip_rows(data, member):
"""The rows of a CSV, or of every member of a zip named like member, name,sex,count[,year]."""
if data.startswith(b"PK"):
z = zipfile.ZipFile(io.BytesIO(data))
for n in sorted(z.namelist()):
if re.fullmatch(member, n):
year = re.sub(r"\D", "", n)
for r in csv.reader(io.StringIO(z.read(n).decode("utf-8-sig"))):
yield r + [year] if year else r
return
yield from csv.reader(io.StringIO(data.decode("utf-8-sig")))
def given(data, from_year):
counts = collections.Counter()
for r in csv_or_zip_rows(data, r"yob\d{4}\.txt"):
if len(r) >= 4 and r[3].isdigit() and int(r[3]) >= from_year and r[0] not in PLACEHOLDERS:
counts[(r[0], r[1].lower())] += int(r[2])
return counts
def surname(name):
"""A Census uppercase surname as it is written: capitalised, and Mc before a capital."""
return MC.sub(lambda m: "Mc" + m.group(1).upper(), name.title())
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--first", type=int, default=2000, help="names per sex")
p.add_argument("--from-year", type=int, default=1930)
p.add_argument("--last", type=int, default=5000)
p.add_argument("--names", default=NAMES)
p.add_argument("--out", default=str(OUT))
p.add_argument("--surnames", default=SURNAMES)
a = p.parse_args()
counts = given(source.fetch(a.names, a.cache, "ssa-names.txt"), a.from_year)
first = []
for sex in ("f", "m"):
top = sorted(((n, c) for (n, s), c in counts.items() if s == sex), key=lambda n: (-n[1], n[0]))[:a.first]
first += [{"name": n, "sex": sex, "count": c} for n, c in top]
rows = csv_or_zip_rows(source.fetch(a.surnames, a.cache, "census-surnames-2010.zip"), r"Names_2010Census\.csv")
last = [{"name": surname(r[0]), "count": int(r[2])} for r in rows if len(r) >= 3 and r[2].isdigit() and r[0].isalpha()]
last = sorted(last, key=lambda r: (-r["count"], r["name"]))[:a.last]
out = Path(a.out)
tsv.write(out / "first-name.tsv", ["name", "sex", "count"], sorted(first, key=lambda r: (r["name"], r["sex"])))
tsv.write(out / "last-name.tsv", ["name", "count"], sorted(last, key=lambda r: r["name"]))
if __name__ == "__main__":
main()
data-import/port.py
-55
View File
@@ -1,55 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/port.tsv from the IANA Service Name and Transport Protocol Port Number Registry.
data-import/port.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
A row needs a service name and a numeric TCP port. A port the registry lists more than
once keeps the first service it describes, or the first of them where it describes none,
so a number selects one row.
"""
import argparse
import csv
import io
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://www.iana.org/assignments/service-names-port-numbers/service-names-port-numbers.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "port.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["number", "service"]
FLOOR = 4000
def rows(text):
best, described = {}, set()
for r in csv.DictReader(io.StringIO(text)):
service, number = (r["Service Name"] or "").strip(), (r["Port Number"] or "").strip()
transport, description = (r["Transport Protocol"] or "").strip(), (r["Description"] or "").strip()
if transport != "tcp" or not service or not number.isdigit():
continue
if not 1 <= int(number) <= 65535:
sys.exit(f"{service}: port {number} is outside 1-65535")
if number not in best or (description and number not in described):
best[number] = {"number": number, "service": service}
if description:
described.add(number)
return sorted(best.values(), key=lambda r: int(r["number"]))
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = rows(source.fetch(a.source, a.cache, "service-names-port-numbers.csv").decode("utf-8"))
if len(table) < FLOOR:
sys.exit(f"only {len(table)} ports named a TCP service; the registry's columns have moved")
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/protocol.py
-67
View File
@@ -1,67 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/protocol.tsv from the IANA Protocol Numbers registry.
data-import/protocol.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
A row needs a number and a keyword, which drops the seven numbers assigned to a class of
protocols rather than to one; a keyword the registry reserves or marks deprecated goes
too. Where the registry names no protocol beside the keyword, the keyword is the name.
"""
import argparse
import csv
import io
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://www.iana.org/assignments/protocol-numbers/protocol-numbers-1.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "protocol.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["keyword", "name", "number"]
SKIP = ("Reserved", "deprecated")
SELECTOR = '[]{}"|' # mirrors inSelector in table.go
def rows(text):
for r in csv.DictReader(io.StringIO(text)):
number, keyword = (r["Decimal"] or "").strip(), (r["Keyword"] or "").strip()
if not number.isdigit() or not keyword or any(s in keyword for s in SKIP):
continue
if not 0 <= int(number) <= 255:
sys.exit(f"{keyword}: protocol number {number} is outside 0-255")
yield {"keyword": keyword, "name": " ".join((r["Protocol"] or "").split()) or keyword, "number": number}
def refuse_an_unselectable_row(table):
"""What the loader refuses at New, and a name that names two rows rather than one."""
keywords, names = {}, {}
for r in table:
for column in ("keyword", "name"):
if set(r[column]) & set(SELECTOR):
sys.exit(f"{r['keyword']}: {column} {r[column]!r} holds one of {SELECTOR}, which a selector cannot spell")
if r["keyword"] in keywords:
sys.exit(f"{r['keyword']}: repeats the keyword of protocol {keywords[r['keyword']]}")
keywords[r["keyword"]] = r["number"]
for r in table:
if r["name"] != r["keyword"] and r["name"] in keywords:
sys.exit(f"{r['keyword']}: name {r['name']!r} is another protocol's keyword")
if r["name"] in names:
sys.exit(f"{r['keyword']}: name {r['name']!r} repeats {names[r['name']]}'s, so it selects neither")
names[r["name"]] = r["keyword"]
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = sorted(rows(source.fetch(a.source, a.cache, "protocol-numbers-1.csv").decode("utf-8")), key=lambda r: int(r["number"]))
refuse_an_unselectable_row(table)
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/source.py
-29
View File
@@ -1,29 +0,0 @@
"""A source fetched once into the cache."""
import re
import sys
import time
import urllib.request
from pathlib import Path
def fetch(source, cache, name, magic=b"", data=None, headers=None):
"""The bytes of a URL, downloaded into cache/name once, or of a local file."""
if not re.match(r"^https?://", source):
return Path(source).read_bytes()
path = Path(cache) / name
if path.exists():
return path.read_bytes()
for attempt in range(1, 6):
req = urllib.request.Request(source, data=data, headers={"User-Agent": "fejkdata data-import", **(headers or {})})
try:
with urllib.request.urlopen(req, timeout=600) as r:
body = r.read()
except OSError:
body = b""
if body and body.startswith(magic) and b"Request Rejected" not in body[:512]:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_bytes(body)
return body
if attempt < 5:
time.sleep(10 * attempt)
sys.exit(f"{source}: no valid download in 5 attempts")
data-import/territory.py
-85
View File
@@ -1,85 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/territory.tsv from datasets/country-codes (PDDL).
data-import/territory.py [--source URL_OR_FILE] [--cache DIR] [--out FILE]
"""
import argparse
import csv
import io
import re
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://raw.githubusercontent.com/datasets/country-codes/main/data/country-codes.csv"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "territory.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["alpha2", "alpha3", "calling-code", "capital", "country", "currency", "flag", "languages", "name", "numeric", "tld"]
SOVEREIGN = re.compile(r"^(?:Part of|Territor(?:y|ies) of|Crown dependency of|Commonwealth of|Associated with) ([A-Z]{2})$")
STANDALONE = {"In contention", "International"}
# Gaps in the source, keyed by alpha2.
FIXUPS = {"TR": {"currency": "TRY"}}
def flag(alpha2):
return "".join(chr(0x1F1E6 + ord(c) - ord("A")) for c in alpha2)
def calling_code(dial):
first = re.sub(r"[^0-9-]", "", dial.split(",")[0])
return first if re.match(r"^\d+-\d{3}$", first) else first.split("-")[0]
def languages(field):
return ",".join(p for p in field.split(",") if p)
def country(alpha2, independent):
"""The sovereign state the register records; a territory it records none for stands alone."""
m = SOVEREIGN.match(independent)
if m:
return m.group(1)
if independent == "Yes" or independent in STANDALONE:
return alpha2
sys.exit(f"{alpha2}: is_independent {independent!r} names no sovereign this script can read")
def rows(text):
for r in csv.DictReader(io.StringIO(text)):
alpha2 = r["ISO3166-1-Alpha-2"]
row = {
"alpha2": alpha2,
"alpha3": r["ISO3166-1-Alpha-3"],
"calling-code": calling_code(r["Dial"]),
"capital": r["Capital"],
"country": country(alpha2, r["is_independent"]),
"currency": r["ISO4217-currency_alphabetic_code"].split(",")[0],
"flag": flag(alpha2),
"languages": languages(r["Languages"]),
"name": r["CLDR display name"] or r["official_name_en"],
"numeric": r["ISO3166-1-numeric"].zfill(3),
"tld": r["TLD"],
}
row.update(FIXUPS.get(alpha2, {}))
if all(row[c] for c in ("alpha2", "alpha3", "calling-code", "capital", "currency", "name", "tld")):
yield row
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = sorted(rows(source.fetch(a.source, a.cache, "country-codes.csv").decode("utf-8")), key=lambda r: r["alpha2"])
shipped = {r["alpha2"] for r in table}
for r in table:
if r["country"] not in shipped:
sys.exit(f"{r['alpha2']}: country {r['country']} is no shipped territory; a sovereign the set drops leaves its territories unreadable")
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/timezone.py
-138
View File
@@ -1,138 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/timezone.tsv from the IANA tzdb tarball (public domain) and GeoNames (CC BY 4.0).
data-import/timezone.py [--source URL_OR_FILE] [--cities URL_OR_FILE] [--cache DIR] [--out FILE] [--territories FILE]
The offset is the zone's standard offset, the first field of its Zone rule's last
continuation line, with a Link resolved to its target. The weight is the population
GeoNames records in the zone's cities of 15,000 or more, never below that threshold,
so a drawn zone is one people live in.
"""
import argparse
import csv
import io
import re
import sys
import tarfile
import zipfile
from pathlib import Path
import source
import tsv
SOURCE = "https://data.iana.org/time-zones/tzdata-latest.tar.gz"
CITIES = "https://download.geonames.org/export/dump/cities15000.zip"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "timezone.tsv"
TERRITORIES = Path(__file__).resolve().parent.parent / "data" / "misc" / "territory.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["offset", "territory", "weight", "zone"]
REGIONS = ["africa", "antarctica", "asia", "australasia", "backward", "etcetera", "europe", "northamerica", "southamerica"]
# GeoNames' own cutoff, so a zone it records no city in weighs less than one would.
FLOOR = 15000
def member(tar, name):
try:
f = tar.extractfile(name)
except KeyError:
f = None
if f is None:
sys.exit(f"{name}: the tarball no longer holds it as a file; the tzdb layout has moved")
return f.read().decode("utf-8")
def offsets(tar):
"""Every zone's standard offset, and every link's target."""
std, links = {}, {}
for name in REGIONS:
zone = None
for raw in member(tar, name).splitlines():
line = raw.split("#")[0].rstrip()
if not line.strip():
continue
if line.startswith("Zone"):
f = line.split()
zone, std[f[1]] = f[1], f[2]
elif line.startswith("Link"):
f = line.split()
links[f[2]], zone = f[1], None
elif line[0] in " \t" and zone:
std[zone] = line.split()[0]
else:
zone = None
return std, links
def resolve(zone, std, links):
for _ in range(10):
if zone in std:
return std[zone]
if zone not in links:
return None
zone = links[zone]
return None
def utc_offset(raw):
"""±HH:MM from a tzdb STDOFF field, which writes the minutes and seconds only when it has them."""
m = re.match(r"^(-)?(\d{1,2})(?::(\d{2})(?::(\d{2}))?)?$", raw)
if not m or (m.group(4) or "00") != "00":
return None
return f"{'-' if m.group(1) else '+'}{int(m.group(2)):02d}:{m.group(3) or '00'}"
def population(body):
"""The population GeoNames records per timezone, summed over its cities."""
with zipfile.ZipFile(io.BytesIO(body)) as z:
text = z.read("cities15000.txt").decode("utf-8")
per = {}
for city in csv.reader(io.StringIO(text), delimiter="\t", quoting=csv.QUOTE_NONE):
if len(city) > 17 and city[17] and city[14].isdigit():
per[city[17]] = per.get(city[17], 0) + int(city[14])
return per
def rows(tar, territories, pop):
std, links = offsets(tar)
for line in member(tar, "zone.tab").splitlines():
if line.startswith("#") or not line.strip():
continue
fields = line.split("\t")
if len(fields) < 3:
sys.exit(f"zone.tab: {line!r} has {len(fields)} fields; a row names a territory, a location and a zone")
territory, zone = fields[0], fields[2]
if territory not in territories:
continue
raw = resolve(zone, std, links)
if raw is None:
sys.exit(f"{zone}: the tarball gives it no Zone rule and no Link to one")
offset = utc_offset(raw)
if offset is None:
sys.exit(f"{zone}: standard offset {raw!r} is not a ±HH:MM the table can spell")
yield {"offset": offset, "territory": territory, "weight": max(pop.get(zone, 0), FLOOR), "zone": zone}
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
p.add_argument("--cities", default=CITIES)
p.add_argument("--territories", default=str(TERRITORIES))
a = p.parse_args()
shipped = {r["alpha2"] for r in csv.DictReader(io.StringIO(Path(a.territories).read_text(encoding="utf-8")), delimiter="\t")}
pop = population(source.fetch(a.cities, a.cache, "cities15000.zip", magic=b"PK"))
body = source.fetch(a.source, a.cache, "tzdata-latest.tar.gz", magic=b"\x1f\x8b")
with tarfile.open(fileobj=io.BytesIO(body)) as tar:
table = sorted(rows(tar, shipped, pop), key=lambda r: r["zone"])
print(f"tzdb {tar.extractfile('version').read().decode('utf-8').strip()}", file=sys.stderr)
linked = {r["territory"] for r in table}
if missing := shipped - linked:
sys.exit(f"no zone for {sorted(missing)}; a parent row without a child is a load error")
if (floored := sum(1 for r in table if r["weight"] == FLOOR)) > len(table) // 2:
sys.exit(f"{floored} of {len(table)} zones fell to the floor; GeoNames' population or timezone column has moved")
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/tld.py
-68
View File
@@ -1,68 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/tld.tsv from the IANA Root Zone Database.
data-import/tld.py [--source URL_OR_FILE] [--zone URL_OR_FILE] [--cache DIR] [--out FILE]
A TLD ships when the database names a manager for it; one it marks "Not assigned" is a
delegation the root zone no longer holds, and the zone file is fetched to prove the two
agree. The key is the A-label the root zone holds; `unicode` is the form the database
displays, less the bidi marks it wraps a right-to-left label in, and proved to punycode
back to the key.
"""
import argparse
import html
import re
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://www.iana.org/domains/root/db"
ZONE = "https://data.iana.org/TLD/tlds-alpha-by-domain.txt"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "tld.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["tld", "type", "unicode"]
TYPES = ("country-code", "generic", "generic-restricted", "infrastructure", "sponsored")
BIDI = {0x200E: None, 0x200F: None}
ROW = re.compile(r'<a href="/domains/root/db/([^"]+)\.html">([^<]+)</a>.*?</td>\s*<td>([^<]*)</td>\s*<td>(.*?)</td>', re.S)
def rows(page):
for a_label, shown, kind, manager in ROW.findall(page):
if "Not assigned" in manager:
continue
kind = kind.strip()
if kind not in TYPES:
sys.exit(f"{a_label}: the database types it {kind!r}, which is none of {TYPES}")
yield {"tld": "." + a_label, "type": kind, "unicode": html.unescape(shown).strip().translate(BIDI)}
def prove_each_unicode_form_is_its_key(table):
"""The displayed form is the key's own spelling, which punycode encodes back to."""
for r in table:
label = r["unicode"][1:]
encoded = label if label.isascii() else "xn--" + label.encode("punycode").decode("ascii")
if "." + encoded != r["tld"]:
sys.exit(f"{r['tld']}: the database displays {r['unicode']!r}, which is no spelling of it")
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--zone", default=ZONE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
table = sorted(rows(source.fetch(a.source, a.cache, "root-db.html").decode("utf-8")), key=lambda r: r["tld"])
prove_each_unicode_form_is_its_key(table)
listing = source.fetch(a.zone, a.cache, "tlds-alpha-by-domain.txt").decode("utf-8")
delegated = {"." + line.strip().lower() for line in listing.splitlines() if line.strip() and not line.startswith("#")}
shipped = {r["tld"] for r in table}
if len(table) != len(delegated) or shipped != delegated:
sys.exit(f"the database assigns {len(table)} rows where the root zone holds {len(delegated)} TLDs: {sorted(shipped ^ delegated)[:10]}")
tsv.write(a.out, COLUMNS, table)
if __name__ == "__main__":
main()
data-import/tsv.py
-18
View File
@@ -1,18 +0,0 @@
"""A table written as the loader admits it."""
import re
import sys
from pathlib import Path
def write(path, columns, rows):
"""Write the rows as a TSV; the table needs two rows, and every cell must be non-empty and free of tabs, newlines and braces."""
lines = ["\t".join(columns)]
for row in rows:
cells = [str(row[c]) for c in columns]
if not all(cells) or any(re.search(r"[\t\n{}]", c) for c in cells):
raise ValueError(f"{path}: a cell is empty or holds a tab, newline or brace: {row}")
lines.append("\t".join(cells))
if len(lines) < 3:
raise ValueError(f"{path}: has {len(lines) - 1} rows below its header; a table is at least two rows")
Path(path).write_text("\n".join(lines) + "\n", encoding="utf-8")
print(f"{path}: {len(lines) - 1} rows", file=sys.stderr)
data-import/useragent.py
-64
View File
@@ -1,64 +0,0 @@
#!/usr/bin/env python3
"""Rebuild data/misc/useragent.tsv from microlinkhq/top-user-agents (MIT).
data-import/useragent.py [--source URL] [--cache DIR] [--out FILE]
The desktop and mobile lists partition the whole, so `device` is read rather than
parsed. A row ships when the string names a browser and an operating system both.
"""
import argparse
import json
import re
import sys
from pathlib import Path
import source
import tsv
SOURCE = "https://raw.githubusercontent.com/microlinkhq/top-user-agents/master/src"
OUT = Path(__file__).resolve().parent.parent / "data" / "misc" / "useragent.tsv"
CACHE = Path(__file__).resolve().parent / "cache"
COLUMNS = ["browser", "device", "os", "ua"]
# First match wins: a Chromium fork this list does not name ships as Chrome.
BROWSERS = [("Edge", r"Edg(A|iOS)?/"), ("Opera", r"OPR/"), ("Samsung Internet", r"SamsungBrowser/"),
("Chrome", r"(Chrome|CriOS)/"), ("Firefox", r"(Firefox|FxiOS)/"), ("Safari", r"Version/[\d.]+ .*Safari")]
SYSTEMS = [("iOS", r"iPhone|iPad|CPU OS "), ("Android", r"Android"), ("ChromeOS", r"CrOS"),
("Windows", r"Windows NT"), ("macOS", r"Macintosh|Mac OS X"), ("Linux", r"X11.*Linux|Ubuntu")]
def named(table, ua):
for name, pattern in table:
if re.search(pattern, ua):
return name
return ""
def rows(desktop, mobile):
seen, kept = set(), []
for device, uas in (("desktop", desktop), ("mobile", mobile)):
for ua in uas:
browser, os = named(BROWSERS, ua), named(SYSTEMS, ua)
if not browser or not os:
print(f"dropped, naming no {'browser' if not browser else 'operating system'}: {ua}", file=sys.stderr)
continue
if ua in seen:
sys.exit(f"{ua}: listed twice, which would draw it twice as often")
seen.add(ua)
kept.append({"browser": browser, "device": device, "os": os, "ua": ua})
if len(kept) < 0.8 * (len(desktop) + len(mobile)):
sys.exit(f"only {len(kept)} of {len(desktop) + len(mobile)} strings named both; the tokens have moved")
return kept
def main():
p = argparse.ArgumentParser(description=__doc__.splitlines()[0])
p.add_argument("--cache", default=str(CACHE))
p.add_argument("--source", default=SOURCE)
p.add_argument("--out", default=str(OUT))
a = p.parse_args()
lists = [json.loads(source.fetch(f"{a.source}/{n}.json", a.cache, f"top-user-agents-{n}.json")) for n in ("desktop", "mobile")]
tsv.write(a.out, COLUMNS, sorted(rows(*lists), key=lambda r: (r["browser"], r["os"], r["ua"])))
if __name__ == "__main__":
main()
data-import/xlsx.py
-21
View File
@@ -1,21 +0,0 @@
"""The rows of an xlsx sheet."""
import io
import xml.etree.ElementTree as ET
import zipfile
NS = {"m": "http://schemas.openxmlformats.org/spreadsheetml/2006/main", "r": "http://schemas.openxmlformats.org/officeDocument/2006/relationships"}
def rows(data, sheet=None):
"""The rows of an xlsx sheet named sheet, the first sheet by default, each a list of cell texts."""
z = zipfile.ZipFile(io.BytesIO(data))
strings = ["".join(t.text or "" for t in si.iter("{%s}t" % NS["m"])) for si in ET.fromstring(z.read("xl/sharedStrings.xml")).findall("m:si", NS)]
rels = {r.get("Id"): r.get("Target") for r in ET.fromstring(z.read("xl/_rels/workbook.xml.rels"))}
sheets = {s.get("name"): rels[s.get("{%s}id" % NS["r"])] for s in ET.fromstring(z.read("xl/workbook.xml")).iter("{%s}sheet" % NS["m"])}
target = sheets[sheet] if sheet else next(iter(sheets.values()))
for row in ET.fromstring(z.read("xl/" + target)).findall(".//m:row", NS):
cells = []
for c in row.findall("m:c", NS):
v = c.find("m:v", NS)
cells.append("" if v is None else strings[int(v.text)] if c.get("t") == "s" else v.text)
yield cells
data.go
+28 -67
View File
@@ -10,14 +10,13 @@ import (
)
// dataSource is one tree to load: an fs.FS and the directory in it to start from.
// label prefixes file names in errors; onDisk marks path as a directory that must
// exist.
// label prefixes file names in errors; path, when set, is a directory on disk that
// must exist.
type dataSource struct {
fsys fs.FS
label string
onDisk bool
path string
root string
fsys fs.FS
label string
path string
root string
}
func (s dataSource) name(p string) string {
@@ -28,22 +27,19 @@ func (s dataSource) name(p string) string {
}
// loadData loads every source into one namespace tree and returns its root
// children. A directory becomes a folder; each *.json file in it compiles to a node
// children. A directory becomes a group; each *.json file in it compiles to a node
// keyed by its base name (address.json -> "address"); each subdirectory becomes a
// nested folder, so folders turn into dot-path segments. Sources merge left to right:
// matching folders merge by their children, and any other clash is won by the last
// nested group, so folders turn into dot-path segments. Sources merge left to right:
// matching groups merge by their children, and any other clash is won by the last
// source loaded. Once merged, linkRefs binds every reference against the
// final tree.
func loadData(sources []dataSource) (map[string]node, error) {
root := map[string]node{}
for _, src := range sources {
if src.onDisk {
if src.path == "" {
return nil, fmt.Errorf("a data path is empty")
}
if src.path != "" {
info, err := os.Stat(src.path)
if err != nil {
return nil, fmt.Errorf("data path %s: %w", src.path, err)
return nil, fmt.Errorf("%s: no such directory", src.path)
}
if !info.IsDir() {
return nil, fmt.Errorf("%s is not a directory", src.path)
@@ -62,83 +58,48 @@ func loadData(sources []dataSource) (map[string]node, error) {
if len(root) == 0 {
return nil, fmt.Errorf("no .json data found")
}
setTablePaths(root)
if err := linkTables(root); err != nil {
return nil, err
}
if err := linkRefs(root); err != nil {
return nil, err
}
if err := checkNoCycles(root); err != nil {
return nil, err
}
if err := checkScope(treeScope(root)); err != nil {
if err := checkRepeatReach(root); err != nil {
return nil, err
}
if err := checkBoundLevelsHeld(root); err != nil {
return nil, err
}
return root, nil
}
// loadDir compiles one directory into a folder. fs.ReadDir yields entries sorted
// loadDir compiles one directory into a group. fs.ReadDir yields entries sorted
// by name, so the tree is built deterministically. Empty subdirectories (no JSON
// anywhere under them) are skipped rather than added as empty namespaces.
func loadDir(src dataSource, dir string) (*folder, error) {
func loadDir(src dataSource, dir string) (*group, error) {
entries, err := fs.ReadDir(src.fsys, dir)
if err != nil {
return nil, fmt.Errorf("%s: %w", src.name(dir), err)
}
g := &folder{children: map[string]node{}}
files := &categoryFiles{src: src, dir: dir, tsv: map[string]bool{}}
for _, e := range entries {
if strings.HasSuffix(e.Name(), ".tsv") && !e.IsDir() {
files.tsv[e.Name()] = false
}
}
g := &group{children: map[string]node{}}
for _, e := range entries {
if strings.HasPrefix(e.Name(), ".") { // hidden: a checkout or an editor's file, never data
continue
}
full := path.Join(dir, e.Name())
load := loadFile
if e.IsDir() {
if err := loadFolder(src, g, full, e.Name()); err != nil {
return nil, err
}
continue
load = loadFolder
}
if err := loadFile(src, g, full, e.Name(), files); err != nil {
if err := load(src, g, full, e.Name()); err != nil {
return nil, err
}
}
for name, named := range files.tsv {
if !named && !strings.HasPrefix(name, ".") {
return nil, fmt.Errorf("%s: no category names it in its rows; a table's rows file sits beside a category file naming it", src.name(path.Join(dir, name)))
}
}
return g, nil
}
// categoryFiles is what a category may name beside itself: the rows files of its
// directory, each marked once a category names it.
type categoryFiles struct {
src dataSource
dir string
tsv map[string]bool
}
// rows reads the rows file a category names beside it.
func (c *categoryFiles) rows(name string) (string, error) {
if _, present := c.tsv[name]; !present {
return "", fmt.Errorf("rows names %s, which is not beside it in %s", name, c.src.name(c.dir))
}
c.tsv[name] = true
b, err := fs.ReadFile(c.src.fsys, path.Join(c.dir, name))
if err != nil {
return "", fmt.Errorf("%s: %w", c.src.name(path.Join(c.dir, name)), err)
}
return string(b), nil
}
// loadFolder adds a subdirectory as a nested folder, unless nothing under it is data.
func loadFolder(src dataSource, g *folder, full, name string) error {
// loadFolder adds a subdirectory as a nested group, unless nothing under it is data.
func loadFolder(src dataSource, g *group, full, name string) error {
child, err := loadDir(src, full)
if err != nil {
return err
@@ -155,7 +116,7 @@ func loadFolder(src dataSource, g *folder, full, name string) error {
// loadFile compiles a *.json file into a category named after it; any other file
// is skipped.
func loadFile(src dataSource, g *folder, full, file string, files *categoryFiles) error {
func loadFile(src dataSource, g *group, full, file string) error {
if !strings.HasSuffix(file, ".json") {
return nil
}
@@ -171,7 +132,7 @@ func loadFile(src dataSource, g *folder, full, file string, files *categoryFiles
if err := json.Unmarshal(b, &raw); err != nil {
return fmt.Errorf("%s: %w", src.name(full), err)
}
n, err := compileCategory(raw, name, files)
n, err := compile(raw)
if err != nil {
return fmt.Errorf("%s: %w", src.name(full), err)
}
@@ -179,13 +140,13 @@ func loadFile(src dataSource, g *folder, full, file string, files *categoryFiles
return nil
}
// mergeChildren overlays src onto dst. Two folders under the same key merge
// mergeChildren overlays src onto dst. Two groups under the same key merge
// recursively (so locales/categories from several paths combine); every other
// key is replaced, making the last-loaded directory win on a conflict.
func mergeChildren(dst, src map[string]node) {
for k, v := range src {
if dg, ok := dst[k].(*folder); ok {
if sg, ok := v.(*folder); ok {
if dg, ok := dst[k].(*group); ok {
if sg, ok := v.(*group); ok {
mergeChildren(dg.children, sg.children)
continue
}
data/en_US/address.json
+14 -5
View File
@@ -1,8 +1,17 @@
{
"format": "{street-number} {street}\n{locality}, {region} {postal-code}",
"street": "{/geo.US.address.street}",
"street-number": "{/geo.US.address.street-number}",
"locality": "{/geo.US.address.locality}",
"region": "{/geo.US.address.region}",
"postal-code": "{/geo.US.address.postal-code}"
"street": {
"format": "{name} {suffix}",
"name": ["Adams", "Ashby", "Aspen", "Bay", "Birch", "Bridge", "Cedar", "Chestnut", "Church", "Clark", "Cypress", "Dogwood", "Elm", "Forest", "Franklin", "Garden", "Grove", "Hawthorn", "Hickory", "Highland", "Jackson", "Jefferson", "Juniper", "Lake", "Laurel", "Liberty", "Lincoln", "Madison", "Magnolia", "Maple", "Market", "Meadow", "Mill", "Oak", "Park", "Pine", "Poplar", "Prospect", "Ridge", "River", "Spruce", "Sunset", "Sycamore", "Union", "Walnut", "Washington", "Willow", "Wilson"],
"suffix": ["Avenue", "Boulevard", "Circle", "Court", "Drive", "Lane", "Place", "Road", "Street", "Terrace", "Trail", "Way"]
},
"street-number": [
"{int(10,99)}",
{ "format": "{int(100,999)}", "weight": 2 },
{ "format": "{int(1000,9999)}", "weight": 0.5 },
{ "format": "{int(10,99)}{int(100,999)}", "weight": 0.3 }
],
"locality": ["Albany", "Atlanta", "Austin", "Baltimore", "Boston", "Charlotte", "Chicago", "Cincinnati", "Cleveland", "Columbus", "Dallas", "Denver", "Detroit", "El Paso", "Fort Worth", "Fresno", "Houston", "Indianapolis", "Jacksonville", "Kansas City", "Las Vegas", "Long Beach", "Los Angeles", "Memphis", "Mesa", "Miami", "Milwaukee", "Minneapolis", "Nashville", "New Orleans", "Oakland", "Oklahoma City", "Omaha", "Orlando", "Philadelphia", "Phoenix", "Pittsburgh", "Portland", "Raleigh", "Sacramento", "San Antonio", "San Diego", "San Jose", "Seattle", "St. Louis", "Tampa", "Tucson", "Tulsa"],
"region": ["AL", "AZ", "CA", "CO", "CT", "FL", "GA", "IL", "IN", "KY", "LA", "MA", "MD", "MI", "MN", "MO", "NC", "NJ", "NV", "NY", "OH", "OK", "OR", "PA", "TN", "TX", "VA", "WA", "WI"],
"postal-code": ["{int(10000,99999)}", { "format": "{int(10000,99999)}-{digits(4)}", "weight": 0.3 }]
}
data/en_US/date.json
+13 -1
View File
@@ -1 +1,13 @@
"{date(1970-01-01,2029-12-31,'01/02/2006')}"
{
"format": "{month}/{day}/{year}",
"month": ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"],
"day": ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28"],
"year": [
"197{digits(1)}",
"198{digits(1)}",
{ "format": "199{digits(1)}", "weight": 2 },
{ "format": "200{digits(1)}", "weight": 3 },
{ "format": "201{digits(1)}", "weight": 3 },
{ "format": "202{digits(1)}", "weight": 2 }
]
}
data/en_US/first-name.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "first-name.tsv", "name": "name", "parent": "sex", "weight": "count" }
data/en_US/first-name.tsv
-4001
View File
File diff suppressed because it is too large Load Diff
data/en_US/itin.json
-16
View File
@@ -1,16 +0,0 @@
{
"format": "{area}-{group}-{serial}",
"area": "9{digits(2)}",
"group": [
{ "format": "{int(50,65)}", "weight": 16 },
{ "format": "{int(70,88)}", "weight": 19 },
{ "format": "{int(90,92)}", "weight": 3 },
{ "format": "{int(94,99)}", "weight": 6 }
],
"serial": [
{ "format": "000{int(1,9)}", "weight": 9 },
{ "format": "00{int(10,99)}", "weight": 90 },
{ "format": "0{int(100,999)}", "weight": 900 },
{ "format": "{int(1000,9999)}", "weight": 9000 }
]
}
data/en_US/last-name.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "last-name.tsv", "key": "name", "weight": "count" }
data/en_US/last-name.tsv
-5001
View File
File diff suppressed because it is too large Load Diff
data/en_US/person.json
+5 -5
View File
@@ -1,7 +1,7 @@
{
"format": "{prefix}{first} {last}",
"first": "{.first-name.name}",
"last": "{.last-name.name}",
"prefix": [null, { "format": "{.title.name} ", "weight": 0.1 }],
"sex": "{.sex.name}"
"format": "{prefix}{femalefirst|malefirst} {last}",
"femalefirst": ["Abigail", "Addison", "Amelia", "Aria", "Aubrey", "Audrey", "Aurora", "Ava", "Bella", "Brooklyn", "Camila", "Caroline", "Charlotte", "Chloe", "Claire", "Eleanor", "Elizabeth", "Ella", "Ellie", "Emily", "Emma", "Evelyn", "Gianna", "Grace", "Hannah", "Harper", "Hazel", "Isabella", "Layla", "Leah", "Lillian", "Lily", "Lucy", "Luna", "Madison", "Maya", "Mia", "Mila", "Naomi", "Natalie", "Nora", "Olivia", "Paisley", "Penelope", "Riley", "Savannah", "Scarlett", "Sofia", "Sophia", "Stella", "Victoria", "Violet", "Zoe"],
"malefirst": ["Aiden", "Alexander", "Andrew", "Anthony", "Asher", "Benjamin", "Caleb", "Carter", "Charles", "Christopher", "Daniel", "David", "Dylan", "Elijah", "Ethan", "Ezra", "Gabriel", "Grayson", "Henry", "Isaac", "Jack", "Jackson", "Jacob", "James", "Jayden", "John", "Joseph", "Joshua", "Julian", "Levi", "Liam", "Lincoln", "Logan", "Lucas", "Luke", "Mason", "Mateo", "Matthew", "Michael", "Nathan", "Noah", "Oliver", "Owen", "Samuel", "Sebastian", "Theodore", "Thomas", "William", "Wyatt"],
"last": ["Adams", "Allen", "Anderson", "Bailey", "Baker", "Bell", "Bennett", "Brooks", "Brown", "Campbell", "Carter", "Clark", "Collins", "Cook", "Cooper", "Cox", "Davis", "Edwards", "Evans", "Flores", "Foster", "Garcia", "Gonzalez", "Gray", "Green", "Hall", "Harris", "Hayes", "Hernandez", "Hill", "Howard", "Hughes", "Jackson", "James", "Jenkins", "Johnson", "Jones", "Kelly", "King", "Lee", "Lewis", "Long", "Lopez", "Martin", "Martinez", "Miller", "Mitchell", "Moore", "Morgan", "Morris", "Murphy", "Nelson", "Parker", "Perez", "Perry", "Peterson", "Phillips", "Powell", "Price", "Ramirez", "Reed", "Richardson", "Rivera", "Roberts", "Robinson", "Rodriguez", "Rogers", "Ross", "Russell", "Sanchez", "Sanders", "Scott", "Smith", "Stewart", "Sullivan", "Taylor", "Thomas", "Thompson", "Torres", "Turner", "Walker", "Ward", "Watson", "White", "Williams", "Wilson", "Wood", "Wright", "Young"],
"prefix": ["", { "format": "{title} ", "title": ["Dr", "Miss", "Mr", "Mrs", "Ms", "Mx", "Prof"], "weight": 0.1 }]
}
data/en_US/sex.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "sex.tsv", "key": "code", "name": "name" }
data/en_US/sex.tsv
-3
View File
@@ -1,3 +0,0 @@
code name
f female
m male
1 code name
2 f female
3 m male
data/en_US/ssn.json
+1 -19
View File
@@ -1,19 +1 @@
{
"format": "{area}-{group}-{serial}",
"area": [
{ "format": "00{int(1,9)}", "weight": 9 },
{ "format": "0{int(10,99)}", "weight": 90 },
{ "format": "{int(100,665)}", "weight": 566 },
{ "format": "{int(667,899)}", "weight": 233 }
],
"group": [
{ "format": "0{int(1,9)}", "weight": 9 },
{ "format": "{int(10,99)}", "weight": 90 }
],
"serial": [
{ "format": "000{int(1,9)}", "weight": 9 },
{ "format": "00{int(10,99)}", "weight": 90 },
{ "format": "0{int(100,999)}", "weight": 900 },
{ "format": "{int(1000,9999)}", "weight": 9000 }
]
}
"{int(100,999)}-{digits(2)}-{digits(4)}"
data/en_US/time.json
+6 -1
View File
@@ -1 +1,6 @@
"{time('3:04 PM')}"
{
"format": "{hour}:{minute} {ampm}",
"hour": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"],
"minute": { "format": "{t}{digits(1)}", "t": ["0", "1", "2", "3", "4", "5"] },
"ampm": ["AM", "PM"]
}
data/en_US/title.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "title.tsv", "name": "name", "parent": "sex", "weight": "share" }
data/en_US/title.tsv
-11
View File
@@ -1,11 +0,0 @@
name sex share
Dr f 6
Dr m 6
Miss f 4
Mr m 60
Mrs f 22
Ms f 30
Mx f 1
Mx m 1
Prof f 3
Prof m 3
1 name sex share
2 Dr f 6
3 Dr m 6
4 Miss f 4
5 Mr m 60
6 Mrs f 22
7 Ms f 30
8 Mx f 1
9 Mx m 1
10 Prof f 3
11 Prof m 3
data/geo/SE/address.json
-14
View File
@@ -1,14 +0,0 @@
{
"format": "{street} {street-number}\n{postal-code} {locality}",
"street": "{.street.name}",
"street-number": [
"{int(1,9)}",
"{int(10,99)}",
{ "format": "{int(100,999)}", "weight": 0.2 },
{ "format": "{int(1,9)}{upper(1)}", "weight": 0.2 },
{ "format": "{int(10,99)}{upper(1)}", "weight": 0.1 },
{ "format": "{int(100,999)}{upper(1)}", "weight": 0.05 }
],
"postal-code": "{.postal-code.code}",
"locality": "{.locality.name}"
}
data/geo/SE/locality.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "locality.tsv", "key": "name", "parent": "municipality", "weight": "population" }
data/geo/SE/locality.tsv
-1523
View File
File diff suppressed because it is too large Load Diff
data/geo/SE/municipality.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "municipality.tsv", "key": "code", "name": "name", "parent": "region", "weight": "population" }
data/geo/SE/municipality.tsv
-291
View File
@@ -1,291 +0,0 @@
code name region population
0114 Upplands Väsby 01 50323
0115 Vallentuna 01 35119
0117 Österåker 01 49787
0120 Värmdö 01 46635
0123 Järfälla 01 88950
0125 Ekerö 01 28910
0126 Huddinge 01 114304
0127 Botkyrka 01 95905
0128 Salem 01 17507
0136 Haninge 01 100895
0138 Tyresö 01 49179
0139 Upplands-Bro 01 32868
0140 Nykvarn 01 12342
0160 Täby 01 77744
0162 Danderyd 01 32425
0163 Sollentuna 01 77624
0180 Stockholm 01 995574
0181 Södertälje 01 102911
0182 Nacka 01 112112
0183 Sundbyberg 01 56274
0184 Solna 01 85789
0186 Lidingö 01 48377
0187 Vaxholm 01 11822
0188 Norrtälje 01 66585
0191 Sigtuna 01 52767
0192 Nynäshamn 01 30579
0305 Håbo 03 22973
0319 Älvkarleby 03 9552
0330 Knivsta 03 21193
0331 Heby 03 14345
0360 Tierp 03 21104
0380 Uppsala 03 248016
0381 Enköping 03 48591
0382 Östhammar 03 22138
0428 Vingåker 04 8750
0461 Gnesta 04 11458
0480 Nyköping 04 58344
0481 Oxelösund 04 12031
0482 Flen 04 15362
0483 Katrineholm 04 34154
0484 Eskilstuna 04 107203
0486 Strängnäs 04 39313
0488 Trosa 04 14927
0509 Ödeshög 05 5237
0512 Ydre 05 3626
0513 Kinda 05 9957
0560 Boxholm 05 5517
0561 Åtvidaberg 05 11467
0562 Finspång 05 21623
0563 Valdemarsvik 05 7525
0580 Linköping 05 168035
0581 Norrköping 05 144980
0582 Söderköping 05 14789
0583 Motala 05 43505
0584 Vadstena 05 7490
0586 Mjölby 05 28695
0604 Aneby 06 6797
0617 Gnosjö 06 9131
0642 Mullsjö 06 7594
0643 Habo 06 13456
0662 Gislaved 06 28936
0665 Vaggeryd 06 14825
0680 Jönköping 06 147654
0682 Nässjö 06 31587
0683 Värnamo 06 34542
0684 Sävsjö 06 11563
0685 Vetlanda 06 27528
0686 Eksjö 06 17792
0687 Tranås 06 18604
0760 Uppvidinge 07 9061
0761 Lessebo 07 8289
0763 Tingsryd 07 11966
0764 Alvesta 07 19830
0765 Älmhult 07 17653
0767 Markaryd 07 9938
0780 Växjö 07 98334
0781 Ljungby 07 28280
0821 Högsby 08 5321
0834 Torsås 08 6984
0840 Mörbylånga 08 16224
0860 Hultsfred 08 13673
0861 Mönsterås 08 13069
0862 Emmaboda 08 9006
0880 Kalmar 08 72704
0881 Nybro 08 19951
0882 Oskarshamn 08 26923
0883 Västervik 08 36447
0884 Vimmerby 08 15384
0885 Borgholm 08 10666
0980 Gotland 09 60971
1060 Olofström 10 13000
1080 Karlskrona 10 66301
1081 Ronneby 10 28741
1082 Karlshamn 10 31751
1083 Sölvesborg 10 17430
1214 Svalöv 12 14543
1230 Staffanstorp 12 27303
1231 Burlöv 12 20101
1233 Vellinge 12 37816
1256 Östra Göinge 12 13978
1257 Örkelljunga 12 10277
1260 Bjuv 12 15985
1261 Kävlinge 12 32477
1262 Lomma 12 24715
1263 Svedala 12 23581
1264 Skurup 12 17099
1265 Sjöbo 12 19337
1266 Hörby 12 15562
1267 Höör 12 17518
1270 Tomelilla 12 13639
1272 Bromölla 12 12470
1273 Osby 12 12947
1275 Perstorp 12 7235
1276 Klippan 12 17714
1277 Åstorp 12 16449
1278 Båstad 12 16026
1280 Malmö 12 365644
1281 Lund 12 131590
1282 Landskrona 12 47309
1283 Helsingborg 12 152091
1284 Höganäs 12 28430
1285 Eslöv 12 34922
1286 Ystad 12 32106
1287 Trelleborg 12 47269
1290 Kristianstad 12 86379
1291 Simrishamn 12 18890
1292 Ängelholm 12 45110
1293 Hässleholm 12 52114
1315 Hylte 13 10196
1380 Halmstad 13 106084
1381 Laholm 13 26595
1382 Falkenberg 13 47337
1383 Varberg 13 69070
1384 Kungsbacka 13 85792
1401 Härryda 14 40003
1402 Partille 14 41060
1407 Öckerö 14 12771
1415 Stenungsund 14 27851
1419 Tjörn 14 16092
1421 Orust 14 15352
1427 Sotenäs 14 9104
1430 Munkedal 14 10354
1435 Tanum 14 12773
1438 Dals-Ed 14 4606
1439 Färgelanda 14 6376
1440 Ale 14 32576
1441 Lerum 14 43570
1442 Vårgårda 14 12474
1443 Bollebygd 14 9802
1444 Grästorp 14 5555
1445 Essunga 14 5560
1446 Karlsborg 14 7023
1447 Gullspång 14 5031
1452 Tranemo 14 11839
1460 Bengtsfors 14 9076
1461 Mellerud 14 9052
1462 Lilla Edet 14 14442
1463 Mark 14 35155
1465 Svenljunga 14 10747
1466 Herrljunga 14 9497
1470 Vara 14 16088
1471 Götene 14 13286
1472 Tibro 14 11338
1473 Töreboda 14 9043
1480 Göteborg 14 608993
1481 Mölndal 14 71420
1482 Kungälv 14 50313
1484 Lysekil 14 13907
1485 Uddevalla 14 57010
1486 Strömstad 14 13482
1487 Vänersborg 14 40041
1488 Trollhättan 14 59003
1489 Alingsås 14 42722
1490 Borås 14 114872
1491 Ulricehamn 14 24985
1492 Åmål 14 11906
1493 Mariestad 14 24583
1494 Lidköping 14 40425
1495 Skara 14 18707
1496 Skövde 14 57995
1497 Hjo 14 9350
1498 Tidaholm 14 12805
1499 Falköping 14 32806
1715 Kil 17 12061
1730 Eda 17 8412
1737 Torsby 17 11321
1760 Storfors 17 3788
1761 Hammarö 17 16992
1762 Munkfors 17 3625
1763 Forshaga 17 11520
1764 Grums 17 9004
1765 Årjäng 17 9825
1766 Sunne 17 13356
1780 Karlstad 17 98084
1781 Kristinehamn 17 23756
1782 Filipstad 17 9776
1783 Hagfors 17 11418
1784 Arvika 17 25547
1785 Säffle 17 14899
1814 Lekeberg 18 8606
1860 Laxå 18 5423
1861 Hallsberg 18 16120
1862 Degerfors 18 9278
1863 Hällefors 18 6321
1864 Ljusnarsberg 18 4369
1880 Örebro 18 160140
1881 Kumla 18 22681
1882 Askersund 18 11477
1883 Karlskoga 18 30180
1884 Nora 18 10639
1885 Lindesberg 18 23141
1904 Skinnskatteberg 19 4256
1907 Surahammar 19 9845
1960 Kungsör 19 8694
1961 Hallstahammar 19 16653
1962 Norberg 19 5452
1980 Västerås 19 160634
1981 Sala 19 22843
1982 Fagersta 19 13072
1983 Köping 19 25729
1984 Arboga 19 13980
2021 Vansbro 20 6752
2023 Malung-Sälen 20 10254
2026 Gagnef 20 10384
2029 Leksand 20 16137
2031 Rättvik 20 10998
2034 Orsa 20 6851
2039 Älvdalen 20 6882
2061 Smedjebacken 20 10823
2062 Mora 20 20540
2080 Falun 20 59945
2081 Borlänge 20 51425
2082 Säter 20 11223
2083 Hedemora 20 15281
2084 Avesta 20 22417
2085 Ludvika 20 26634
2101 Ockelbo 21 5715
2104 Hofors 21 9281
2121 Ovanåker 21 11341
2132 Nordanstig 21 9262
2161 Ljusdal 21 18445
2180 Gävle 21 103838
2181 Sandviken 21 38360
2182 Söderhamn 21 24545
2183 Bollnäs 21 26243
2184 Hudiksvall 21 37528
2260 Ånge 22 9044
2262 Timrå 22 17521
2280 Härnösand 22 24515
2281 Sundsvall 22 99048
2282 Kramfors 22 17491
2283 Sollefteå 22 18396
2284 Örnsköldsvik 22 55443
2303 Ragunda 23 5146
2305 Bräcke 23 6035
2309 Krokom 23 15680
2313 Strömsund 23 11023
2321 Åre 23 12693
2326 Berg 23 7108
2361 Härjedalen 23 10175
2380 Östersund 23 64979
2401 Nordmaling 24 6942
2403 Bjurholm 24 2359
2404 Vindeln 24 5417
2409 Robertsfors 24 6690
2417 Norsjö 24 3968
2418 Malå 24 2962
2421 Storuman 24 5577
2422 Sorsele 24 2357
2425 Dorotea 24 2294
2460 Vännäs 24 9132
2462 Vilhelmina 24 6229
2463 Åsele 24 2694
2480 Umeå 24 134249
2481 Lycksele 24 12118
2482 Skellefteå 24 78150
2505 Arvidsjaur 25 6089
2506 Arjeplog 25 2599
2510 Jokkmokk 25 4701
2513 Överkalix 25 3201
2514 Kalix 25 15391
2518 Övertorneå 25 4057
2521 Pajala 25 5857
2523 Gällivare 25 17233
2560 Älvsbyn 25 7774
2580 Luleå 25 79645
2581 Piteå 25 42447
2582 Boden 25 28049
2583 Haparanda 25 9151
2584 Kiruna 25 22426
1 code name region population
2 0114 Upplands Väsby 01 50323
3 0115 Vallentuna 01 35119
4 0117 Österåker 01 49787
5 0120 Värmdö 01 46635
6 0123 Järfälla 01 88950
7 0125 Ekerö 01 28910
8 0126 Huddinge 01 114304
9 0127 Botkyrka 01 95905
10 0128 Salem 01 17507
11 0136 Haninge 01 100895
12 0138 Tyresö 01 49179
13 0139 Upplands-Bro 01 32868
14 0140 Nykvarn 01 12342
15 0160 Täby 01 77744
16 0162 Danderyd 01 32425
17 0163 Sollentuna 01 77624
18 0180 Stockholm 01 995574
19 0181 Södertälje 01 102911
20 0182 Nacka 01 112112
21 0183 Sundbyberg 01 56274
22 0184 Solna 01 85789
23 0186 Lidingö 01 48377
24 0187 Vaxholm 01 11822
25 0188 Norrtälje 01 66585
26 0191 Sigtuna 01 52767
27 0192 Nynäshamn 01 30579
28 0305 Håbo 03 22973
29 0319 Älvkarleby 03 9552
30 0330 Knivsta 03 21193
31 0331 Heby 03 14345
32 0360 Tierp 03 21104
33 0380 Uppsala 03 248016
34 0381 Enköping 03 48591
35 0382 Östhammar 03 22138
36 0428 Vingåker 04 8750
37 0461 Gnesta 04 11458
38 0480 Nyköping 04 58344
39 0481 Oxelösund 04 12031
40 0482 Flen 04 15362
41 0483 Katrineholm 04 34154
42 0484 Eskilstuna 04 107203
43 0486 Strängnäs 04 39313
44 0488 Trosa 04 14927
45 0509 Ödeshög 05 5237
46 0512 Ydre 05 3626
47 0513 Kinda 05 9957
48 0560 Boxholm 05 5517
49 0561 Åtvidaberg 05 11467
50 0562 Finspång 05 21623
51 0563 Valdemarsvik 05 7525
52 0580 Linköping 05 168035
53 0581 Norrköping 05 144980
54 0582 Söderköping 05 14789
55 0583 Motala 05 43505
56 0584 Vadstena 05 7490
57 0586 Mjölby 05 28695
58 0604 Aneby 06 6797
59 0617 Gnosjö 06 9131
60 0642 Mullsjö 06 7594
61 0643 Habo 06 13456
62 0662 Gislaved 06 28936
63 0665 Vaggeryd 06 14825
64 0680 Jönköping 06 147654
65 0682 Nässjö 06 31587
66 0683 Värnamo 06 34542
67 0684 Sävsjö 06 11563
68 0685 Vetlanda 06 27528
69 0686 Eksjö 06 17792
70 0687 Tranås 06 18604
71 0760 Uppvidinge 07 9061
72 0761 Lessebo 07 8289
73 0763 Tingsryd 07 11966
74 0764 Alvesta 07 19830
75 0765 Älmhult 07 17653
76 0767 Markaryd 07 9938
77 0780 Växjö 07 98334
78 0781 Ljungby 07 28280
79 0821 Högsby 08 5321
80 0834 Torsås 08 6984
81 0840 Mörbylånga 08 16224
82 0860 Hultsfred 08 13673
83 0861 Mönsterås 08 13069
84 0862 Emmaboda 08 9006
85 0880 Kalmar 08 72704
86 0881 Nybro 08 19951
87 0882 Oskarshamn 08 26923
88 0883 Västervik 08 36447
89 0884 Vimmerby 08 15384
90 0885 Borgholm 08 10666
91 0980 Gotland 09 60971
92 1060 Olofström 10 13000
93 1080 Karlskrona 10 66301
94 1081 Ronneby 10 28741
95 1082 Karlshamn 10 31751
96 1083 Sölvesborg 10 17430
97 1214 Svalöv 12 14543
98 1230 Staffanstorp 12 27303
99 1231 Burlöv 12 20101
100 1233 Vellinge 12 37816
101 1256 Östra Göinge 12 13978
102 1257 Örkelljunga 12 10277
103 1260 Bjuv 12 15985
104 1261 Kävlinge 12 32477
105 1262 Lomma 12 24715
106 1263 Svedala 12 23581
107 1264 Skurup 12 17099
108 1265 Sjöbo 12 19337
109 1266 Hörby 12 15562
110 1267 Höör 12 17518
111 1270 Tomelilla 12 13639
112 1272 Bromölla 12 12470
113 1273 Osby 12 12947
114 1275 Perstorp 12 7235
115 1276 Klippan 12 17714
116 1277 Åstorp 12 16449
117 1278 Båstad 12 16026
118 1280 Malmö 12 365644
119 1281 Lund 12 131590
120 1282 Landskrona 12 47309
121 1283 Helsingborg 12 152091
122 1284 Höganäs 12 28430
123 1285 Eslöv 12 34922
124 1286 Ystad 12 32106
125 1287 Trelleborg 12 47269
126 1290 Kristianstad 12 86379
127 1291 Simrishamn 12 18890
128 1292 Ängelholm 12 45110
129 1293 Hässleholm 12 52114
130 1315 Hylte 13 10196
131 1380 Halmstad 13 106084
132 1381 Laholm 13 26595
133 1382 Falkenberg 13 47337
134 1383 Varberg 13 69070
135 1384 Kungsbacka 13 85792
136 1401 Härryda 14 40003
137 1402 Partille 14 41060
138 1407 Öckerö 14 12771
139 1415 Stenungsund 14 27851
140 1419 Tjörn 14 16092
141 1421 Orust 14 15352
142 1427 Sotenäs 14 9104
143 1430 Munkedal 14 10354
144 1435 Tanum 14 12773
145 1438 Dals-Ed 14 4606
146 1439 Färgelanda 14 6376
147 1440 Ale 14 32576
148 1441 Lerum 14 43570
149 1442 Vårgårda 14 12474
150 1443 Bollebygd 14 9802
151 1444 Grästorp 14 5555
152 1445 Essunga 14 5560
153 1446 Karlsborg 14 7023
154 1447 Gullspång 14 5031
155 1452 Tranemo 14 11839
156 1460 Bengtsfors 14 9076
157 1461 Mellerud 14 9052
158 1462 Lilla Edet 14 14442
159 1463 Mark 14 35155
160 1465 Svenljunga 14 10747
161 1466 Herrljunga 14 9497
162 1470 Vara 14 16088
163 1471 Götene 14 13286
164 1472 Tibro 14 11338
165 1473 Töreboda 14 9043
166 1480 Göteborg 14 608993
167 1481 Mölndal 14 71420
168 1482 Kungälv 14 50313
169 1484 Lysekil 14 13907
170 1485 Uddevalla 14 57010
171 1486 Strömstad 14 13482
172 1487 Vänersborg 14 40041
173 1488 Trollhättan 14 59003
174 1489 Alingsås 14 42722
175 1490 Borås 14 114872
176 1491 Ulricehamn 14 24985
177 1492 Åmål 14 11906
178 1493 Mariestad 14 24583
179 1494 Lidköping 14 40425
180 1495 Skara 14 18707
181 1496 Skövde 14 57995
182 1497 Hjo 14 9350
183 1498 Tidaholm 14 12805
184 1499 Falköping 14 32806
185 1715 Kil 17 12061
186 1730 Eda 17 8412
187 1737 Torsby 17 11321
188 1760 Storfors 17 3788
189 1761 Hammarö 17 16992
190 1762 Munkfors 17 3625
191 1763 Forshaga 17 11520
192 1764 Grums 17 9004
193 1765 Årjäng 17 9825
194 1766 Sunne 17 13356
195 1780 Karlstad 17 98084
196 1781 Kristinehamn 17 23756
197 1782 Filipstad 17 9776
198 1783 Hagfors 17 11418
199 1784 Arvika 17 25547
200 1785 Säffle 17 14899
201 1814 Lekeberg 18 8606
202 1860 Laxå 18 5423
203 1861 Hallsberg 18 16120
204 1862 Degerfors 18 9278
205 1863 Hällefors 18 6321
206 1864 Ljusnarsberg 18 4369
207 1880 Örebro 18 160140
208 1881 Kumla 18 22681
209 1882 Askersund 18 11477
210 1883 Karlskoga 18 30180
211 1884 Nora 18 10639
212 1885 Lindesberg 18 23141
213 1904 Skinnskatteberg 19 4256
214 1907 Surahammar 19 9845
215 1960 Kungsör 19 8694
216 1961 Hallstahammar 19 16653
217 1962 Norberg 19 5452
218 1980 Västerås 19 160634
219 1981 Sala 19 22843
220 1982 Fagersta 19 13072
221 1983 Köping 19 25729
222 1984 Arboga 19 13980
223 2021 Vansbro 20 6752
224 2023 Malung-Sälen 20 10254
225 2026 Gagnef 20 10384
226 2029 Leksand 20 16137
227 2031 Rättvik 20 10998
228 2034 Orsa 20 6851
229 2039 Älvdalen 20 6882
230 2061 Smedjebacken 20 10823
231 2062 Mora 20 20540
232 2080 Falun 20 59945
233 2081 Borlänge 20 51425
234 2082 Säter 20 11223
235 2083 Hedemora 20 15281
236 2084 Avesta 20 22417
237 2085 Ludvika 20 26634
238 2101 Ockelbo 21 5715
239 2104 Hofors 21 9281
240 2121 Ovanåker 21 11341
241 2132 Nordanstig 21 9262
242 2161 Ljusdal 21 18445
243 2180 Gävle 21 103838
244 2181 Sandviken 21 38360
245 2182 Söderhamn 21 24545
246 2183 Bollnäs 21 26243
247 2184 Hudiksvall 21 37528
248 2260 Ånge 22 9044
249 2262 Timrå 22 17521
250 2280 Härnösand 22 24515
251 2281 Sundsvall 22 99048
252 2282 Kramfors 22 17491
253 2283 Sollefteå 22 18396
254 2284 Örnsköldsvik 22 55443
255 2303 Ragunda 23 5146
256 2305 Bräcke 23 6035
257 2309 Krokom 23 15680
258 2313 Strömsund 23 11023
259 2321 Åre 23 12693
260 2326 Berg 23 7108
261 2361 Härjedalen 23 10175
262 2380 Östersund 23 64979
263 2401 Nordmaling 24 6942
264 2403 Bjurholm 24 2359
265 2404 Vindeln 24 5417
266 2409 Robertsfors 24 6690
267 2417 Norsjö 24 3968
268 2418 Malå 24 2962
269 2421 Storuman 24 5577
270 2422 Sorsele 24 2357
271 2425 Dorotea 24 2294
272 2460 Vännäs 24 9132
273 2462 Vilhelmina 24 6229
274 2463 Åsele 24 2694
275 2480 Umeå 24 134249
276 2481 Lycksele 24 12118
277 2482 Skellefteå 24 78150
278 2505 Arvidsjaur 25 6089
279 2506 Arjeplog 25 2599
280 2510 Jokkmokk 25 4701
281 2513 Överkalix 25 3201
282 2514 Kalix 25 15391
283 2518 Övertorneå 25 4057
284 2521 Pajala 25 5857
285 2523 Gällivare 25 17233
286 2560 Älvsbyn 25 7774
287 2580 Luleå 25 79645
288 2581 Piteå 25 42447
289 2582 Boden 25 28049
290 2583 Haparanda 25 9151
291 2584 Kiruna 25 22426
data/geo/SE/postal-code.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{code}", "rows": "postal-code.tsv", "key": "code", "parent": "locality" }
data/geo/SE/postal-code.tsv
-13713
View File
File diff suppressed because it is too large Load Diff
data/geo/SE/region.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "region.tsv", "key": "code", "name": "name", "weight": "population" }
data/geo/SE/region.tsv
-22
View File
@@ -1,22 +0,0 @@
code name population timezone
01 Stockholms län 2473307 Europe/Stockholm
03 Uppsala län 407912 Europe/Stockholm
04 Södermanlands län 301542 Europe/Stockholm
05 Östergötlands län 472446 Europe/Stockholm
06 Jönköpings län 370009 Europe/Stockholm
07 Kronobergs län 203351 Europe/Stockholm
08 Kalmar län 246352 Europe/Stockholm
09 Gotlands län 60971 Europe/Stockholm
10 Blekinge län 157223 Europe/Stockholm
12 Skåne län 1428626 Europe/Stockholm
13 Hallands län 345074 Europe/Stockholm
14 Västra Götalands län 1772821 Europe/Stockholm
17 Värmlands län 283384 Europe/Stockholm
18 Örebro län 308375 Europe/Stockholm
19 Västmanlands län 281158 Europe/Stockholm
20 Dalarnas län 286546 Europe/Stockholm
21 Gävleborgs län 284558 Europe/Stockholm
22 Västernorrlands län 241458 Europe/Stockholm
23 Jämtlands län 132839 Europe/Stockholm
24 Västerbottens län 281138 Europe/Stockholm
25 Norrbottens län 248620 Europe/Stockholm
1 code name population timezone
2 01 Stockholms län 2473307 Europe/Stockholm
3 03 Uppsala län 407912 Europe/Stockholm
4 04 Södermanlands län 301542 Europe/Stockholm
5 05 Östergötlands län 472446 Europe/Stockholm
6 06 Jönköpings län 370009 Europe/Stockholm
7 07 Kronobergs län 203351 Europe/Stockholm
8 08 Kalmar län 246352 Europe/Stockholm
9 09 Gotlands län 60971 Europe/Stockholm
10 10 Blekinge län 157223 Europe/Stockholm
11 12 Skåne län 1428626 Europe/Stockholm
12 13 Hallands län 345074 Europe/Stockholm
13 14 Västra Götalands län 1772821 Europe/Stockholm
14 17 Värmlands län 283384 Europe/Stockholm
15 18 Örebro län 308375 Europe/Stockholm
16 19 Västmanlands län 281158 Europe/Stockholm
17 20 Dalarnas län 286546 Europe/Stockholm
18 21 Gävleborgs län 284558 Europe/Stockholm
19 22 Västernorrlands län 241458 Europe/Stockholm
20 23 Jämtlands län 132839 Europe/Stockholm
21 24 Västerbottens län 281138 Europe/Stockholm
22 25 Norrbottens län 248620 Europe/Stockholm
data/geo/SE/street.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "street.tsv", "parent": "locality", "weight": "segments" }
data/geo/SE/street.tsv
-14765
View File
File diff suppressed because it is too large Load Diff
data/geo/US/address.json
-13
View File
@@ -1,13 +0,0 @@
{
"format": "{street-number} {street}\n{locality}, {region} {postal-code}",
"street": "{.street.name}",
"street-number": [
"{int(10,99)}",
{ "format": "{int(100,999)}", "weight": 2 },
{ "format": "{int(1000,9999)}", "weight": 0.5 },
{ "format": "{int(10,99)}{int(100,999)}", "weight": 0.3 }
],
"locality": "{.locality.name}",
"region": "{.region.abbr}",
"postal-code": "{.postal-code.code}"
}
data/geo/US/locality.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "locality.tsv", "key": "code", "name": "name", "parent": "municipality", "weight": "population" }
data/geo/US/locality.tsv
-1585
View File
File diff suppressed because it is too large Load Diff
data/geo/US/municipality.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "municipality.tsv", "key": "code", "name": "name", "parent": "region", "weight": "population" }
data/geo/US/municipality.tsv
-666
View File
@@ -1,666 +0,0 @@
code name region population
01001 Autauga County AL 61920
01003 Baldwin County AL 267761
01031 Coffee County AL 56953
01055 Etowah County AL 103886
01069 Houston County AL 110318
01073 Jefferson County AL 665742
01077 Lauderdale County AL 97135
01081 Lee County AL 189881
01083 Limestone County AL 122928
01089 Madison County AL 433516
01097 Mobile County AL 411658
01101 Montgomery County AL 225891
01103 Morgan County AL 126483
01113 Russell County AL 58898
01117 Shelby County AL 238552
01125 Tuscaloosa County AL 241368
02020 Anchorage Municipality AK 287155
02090 Fairbanks North Star Borough AK 93972
02110 Juneau City and Borough AK 31609
04003 Cochise County AZ 126332
04005 Coconino County AZ 144368
04013 Maricopa County AZ 4689558
04015 Mohave County AZ 228102
04019 Pima County AZ 1074685
04021 Pinal County AZ 539380
04025 Yavapai County AZ 252552
04027 Yuma County AZ 224449
05007 Benton County AR 332554
05031 Craighead County AR 116957
05045 Faulkner County AR 133979
05051 Garland County AR 99695
05055 Greene County AR 47411
05069 Jefferson County AR 62987
05085 Lonoke County AR 76664
05091 Miller County AR 42357
05115 Pope County AR 64976
05119 Pulaski County AR 404611
05125 Saline County AR 133288
05131 Sebastian County AR 130641
05143 Washington County AR 271213
06001 Alameda County CA 1636630
06007 Butte County CA 209211
06013 Contra Costa County CA 1170070
06019 Fresno County CA 1035456
06023 Humboldt County CA 131647
06025 Imperial County CA 181411
06029 Kern County CA 927068
06031 Kings County CA 154327
06037 Los Angeles County CA 9694934
06039 Madera County CA 167927
06041 Marin County CA 253694
06047 Merced County CA 297260
06053 Monterey County CA 433729
06055 Napa County CA 132949
06059 Orange County CA 3149507
06061 Placer County CA 442081
06065 Riverside County CA 2544916
06067 Sacramento County CA 1618460
06069 San Benito County CA 70082
06071 San Bernardino County CA 2224091
06073 San Diego County CA 3282248
06075 San Francisco County CA 826079
06077 San Joaquin County CA 823815
06079 San Luis Obispo County CA 282367
06081 San Mateo County CA 743568
06083 Santa Barbara County CA 442065
06085 Santa Clara County CA 1914391
06087 Santa Cruz County CA 258852
06089 Shasta County CA 181648
06095 Solano County CA 455376
06097 Sonoma County CA 486444
06099 Stanislaus County CA 557719
06101 Sutter County CA 98787
06107 Tulare County CA 485146
06111 Ventura County CA 830851
06113 Yolo County CA 224410
08001 Adams County CO 554668
08005 Arapahoe County CO 673820
08013 Boulder County CO 328560
08014 Broomfield County CO 79174
08031 Denver County CO 740613
08035 Douglas County CO 399396
08041 El Paso County CO 757040
08059 Jefferson County CO 580451
08069 Larimer County CO 377292
08077 Mesa County CO 162845
08101 Pueblo County CO 169277
08123 Weld County CO 378426
09110 Capitol Planning Region CT 994115
09120 Greater Bridgeport Planning Region CT 337697
09130 Lower Connecticut River Valley Planning Region CT 177311
09140 Naugatuck Valley Planning Region CT 463349
09160 Northwest Hills Planning Region CT 114690
09170 South Central Connecticut Planning Region CT 578741
09180 Southeastern Connecticut Planning Region CT 284015
09190 Western Connecticut Planning Region CT 640482
10001 Kent County DE 194786
10003 New Castle County DE 588026
11001 District of Columbia DC 693645
12001 Alachua County FL 290028
12005 Bay County FL 204479
12009 Brevard County FL 663982
12011 Broward County FL 2013317
12031 Duval County FL 1062963
12033 Escambia County FL 333834
12035 Flagler County FL 140360
12057 Hillsborough County FL 1574115
12061 Indian River County FL 172799
12069 Lake County FL 456068
12071 Lee County FL 875607
12073 Leon County FL 299048
12081 Manatee County FL 468200
12083 Marion County FL 442660
12086 Miami-Dade County FL 2802029
12091 Okaloosa County FL 221810
12095 Orange County FL 1528002
12097 Osceola County FL 481718
12099 Palm Beach County FL 1575726
12103 Pinellas County FL 948563
12105 Polk County FL 874790
12111 St. Lucie County FL 402449
12115 Sarasota County FL 479958
12117 Seminole County FL 491884
12127 Volusia County FL 606573
13015 Bartow County GA 120800
13021 Bibb County GA 157556
13031 Bulloch County GA 86949
13045 Carroll County GA 131036
13051 Chatham County GA 311855
13057 Cherokee County GA 299273
13059 Clarke County GA 129921
13067 Cobb County GA 793345
13077 Coweta County GA 160240
13089 DeKalb County GA 774394
13095 Dougherty County GA 82616
13097 Douglas County GA 154293
13113 Fayette County GA 125156
13115 Floyd County GA 101378
13121 Fulton County GA 1098791
13135 Gwinnett County GA 1018099
13139 Hall County GA 226568
13151 Henry County GA 264922
13153 Houston County GA 178214
13179 Liberty County GA 70313
13185 Lowndes County GA 122867
13215 Muscogee County GA 202171
13245 Richmond County GA 206559
13285 Troup County GA 72844
13313 Whitfield County GA 106212
16001 Ada County ID 546141
16005 Bannock County ID 91591
16019 Bonneville County ID 135771
16027 Canyon County ID 275123
16055 Kootenai County ID 191864
16057 Latah County ID 41842
16065 Madison County ID 55172
16069 Nez Perce County ID 42905
16083 Twin Falls County ID 97539
17001 Adams County IL 64267
17007 Boone County IL 53568
17019 Champaign County IL 209972
17031 Cook County IL 5194625
17037 DeKalb County IL 101835
17043 DuPage County IL 934298
17089 Kane County IL 525757
17093 Kendall County IL 145470
17095 Knox County IL 47767
17097 Lake County IL 719339
17111 McHenry County IL 317751
17113 McLean County IL 171419
17115 Macon County IL 99300
17119 Madison County IL 263110
17143 Peoria County IL 178553
17161 Rock Island County IL 141869
17163 St. Clair County IL 250708
17167 Sangamon County IL 194170
17179 Tazewell County IL 130049
17183 Vermilion County IL 71259
17197 Will County IL 712253
17201 Winnebago County IL 283674
18003 Allen County IN 402329
18005 Bartholomew County IN 85729
18011 Boone County IN 80689
18019 Clark County IN 130451
18035 Delaware County IN 113106
18039 Elkhart County IN 208774
18043 Floyd County IN 82153
18053 Grant County IN 66524
18057 Hamilton County IN 387036
18059 Hancock County IN 90969
18063 Hendricks County IN 193510
18067 Howard County IN 83904
18081 Johnson County IN 174262
18089 Lake County IN 504612
18091 LaPorte County IN 111294
18095 Madison County IN 135088
18097 Marion County IN 992196
18105 Monroe County IN 143345
18127 Porter County IN 176049
18141 St. Joseph County IN 272861
18157 Tippecanoe County IN 190456
18163 Vanderburgh County IN 181995
18167 Vigo County IN 106512
18177 Wayne County IN 66169
19013 Black Hawk County IA 131532
19033 Cerro Gordo County IA 42372
19049 Dallas County IA 118457
19061 Dubuque County IA 99381
19103 Johnson County IA 160044
19113 Linn County IA 232028
19127 Marshall County IA 39890
19153 Polk County IA 516546
19155 Pottawattamie County IA 92996
19163 Scott County IA 175259
19169 Story County IA 101291
19179 Wapello County IA 35210
19193 Woodbury County IA 106649
20045 Douglas County KS 120920
20055 Finney County KS 37505
20057 Ford County KS 33993
20091 Johnson County KS 636906
20103 Leavenworth County KS 84590
20155 Reno County KS 61539
20161 Riley County KS 72598
20169 Saline County KS 53377
20173 Sedgwick County KS 538433
20177 Shawnee County KS 178607
20209 Wyandotte County KS 170597
21015 Boone County KY 145316
21047 Christian County KY 70115
21059 Daviess County KY 104898
21067 Fayette County KY 329751
21073 Franklin County KY 52649
21093 Hardin County KY 113482
21101 Henderson County KY 44255
21111 Jefferson County KY 795222
21113 Jessamine County KY 57147
21117 Kenton County KY 175779
21145 McCracken County KY 67553
21151 Madison County KY 101696
21209 Scott County KY 62262
21227 Warren County KY 149375
22015 Bossier Parish LA 131867
22017 Caddo Parish LA 224226
22019 Calcasieu Parish LA 208466
22033 East Baton Rouge Parish LA 456180
22045 Iberia Parish LA 66846
22051 Jefferson Parish LA 431398
22071 Orleans Parish LA 362154
22073 Ouachita Parish LA 158542
22079 Rapides Parish LA 125877
22103 St. Tammany Parish LA 279108
22109 Terrebonne Parish LA 104163
23001 Androscoggin County ME 116487
23005 Cumberland County ME 317222
23019 Penobscot County ME 157967
24003 Anne Arundel County MD 603380
24021 Frederick County MD 302883
24031 Montgomery County MD 1074582
24033 Prince George's County MD 970374
24043 Washington County MD 157731
24045 Wicomico County MD 106899
24510 Baltimore city MD 569997
25001 Barnstable County MA 233539
25003 Berkshire County MA 128224
25005 Bristol County MA 593640
25009 Essex County MA 826653
25013 Hampden County MA 464338
25015 Hampshire County MA 164065
25017 Middlesex County MA 1669979
25021 Norfolk County MA 739749
25023 Plymouth County MA 546829
25025 Suffolk County MA 791891
25027 Worcester County MA 888502
26017 Bay County MI 102123
26025 Calhoun County MI 133408
26049 Genesee County MI 401093
26065 Ingham County MI 289709
26075 Jackson County MI 159552
26077 Kalamazoo County MI 263795
26081 Kent County MI 675232
26099 Macomb County MI 886221
26111 Midland County MI 83754
26121 Muskegon County MI 177901
26125 Oakland County MI 1288337
26139 Ottawa County MI 308459
26145 Saginaw County MI 187688
26147 St. Clair County MI 160486
26161 Washtenaw County MI 370214
26163 Wayne County MI 1769038
27003 Anoka County MN 381605
27013 Blue Earth County MN 70634
27019 Carver County MN 114379
27027 Clay County MN 67734
27037 Dakota County MN 457710
27053 Hennepin County MN 1284784
27099 Mower County MN 40971
27109 Olmsted County MN 166731
27123 Ramsey County MN 541623
27131 Rice County MN 69939
27137 St. Louis County MN 200518
27139 Scott County MN 159017
27141 Sherburne County MN 104194
27145 Stearns County MN 164110
27147 Steele County MN 37464
27163 Washington County MN 286895
27169 Winona County MN 50523
28033 DeSoto County MS 197918
28035 Forrest County MS 79034
28047 Harrison County MS 217136
28049 Hinds County MS 211888
28071 Lafayette County MS 59597
28075 Lauderdale County MS 70317
28081 Lee County MS 83731
28089 Madison County MS 116298
28105 Oktibbeha County MS 51896
28121 Rankin County MS 162181
28151 Washington County MS 40446
29019 Boone County MO 191746
29021 Buchanan County MO 83540
29031 Cape Girardeau County MO 83999
29037 Cass County MO 115859
29043 Christian County MO 96725
29047 Clay County MO 265032
29051 Cole County MO 77908
29077 Greene County MO 309286
29095 Jackson County MO 732994
29097 Jasper County MO 127428
29183 St. Charles County MO 426499
29189 St. Louis County MO 990911
29510 St. Louis city MO 278144
30013 Cascade County MT 85029
30029 Flathead County MT 115429
30031 Gallatin County MT 128740
30049 Lewis and Clark County MT 75331
30063 Missoula County MT 123513
30093 Silver Bow County MT 36118
30111 Yellowstone County MT 172692
31001 Adams County NE 31071
31019 Buffalo County NE 51172
31053 Dodge County NE 38057
31055 Douglas County NE 606460
31079 Hall County NE 63633
31109 Lancaster County NE 334049
31119 Madison County NE 36106
31141 Platte County NE 35649
31153 Sarpy County NE 208303
32003 Clark County NV 2407226
32019 Lyon County NV 65088
32031 Washoe County NV 509386
32510 Carson City NV 58571
33011 Hillsborough County NH 433415
33013 Merrimack County NH 158078
33017 Strafford County NH 135043
34001 Atlantic County NJ 278657
34003 Bergen County NJ 977026
34007 Camden County NJ 535799
34011 Cumberland County NJ 157148
34013 Essex County NJ 896379
34017 Hudson County NJ 735033
34021 Mercer County NJ 399289
34023 Middlesex County NJ 883335
34025 Monmouth County NJ 651035
34031 Passaic County NJ 531624
34039 Union County NJ 601863
35001 Bernalillo County NM 667601
35005 Chaves County NM 63364
35009 Curry County NM 46655
35013 Doña Ana County NM 229091
35015 Eddy County NM 62509
35025 Lea County NM 74749
35035 Otero County NM 70368
35043 Sandoval County NM 159565
35045 San Juan County NM 120340
35049 Santa Fe County NM 156907
36001 Albany County NY 321225
36007 Broome County NY 195736
36011 Cayuga County NY 74365
36013 Chautauqua County NY 124126
36015 Chemung County NY 80415
36027 Dutchess County NY 300708
36029 Erie County NY 946741
36047 Kings County NY 2653963
36055 Monroe County NY 750506
36059 Nassau County NY 1398939
36063 Niagara County NY 208912
36065 Oneida County NY 226392
36067 Onondaga County NY 466584
36071 Orange County NY 417669
36083 Rensselaer County NY 160510
36091 Saratoga County NY 241343
36093 Schenectady County NY 162581
36103 Suffolk County NY 1546090
36109 Tompkins County NY 104047
36119 Westchester County NY 1015743
37001 Alamance County NC 186177
37019 Brunswick County NC 174702
37021 Buncombe County NC 277417
37025 Cabarrus County NC 249725
37035 Catawba County NC 170172
37049 Craven County NC 105025
37051 Cumberland County NC 338473
37057 Davidson County NC 180182
37063 Durham County NC 347240
37067 Forsyth County NC 401718
37071 Gaston County NC 246558
37081 Guilford County NC 562234
37097 Iredell County NC 211798
37101 Johnston County NC 256448
37105 Lee County NC 70258
37119 Mecklenburg County NC 1233383
37127 Nash County NC 99365
37129 New Hanover County NC 245959
37133 Onslow County NC 217175
37135 Orange County NC 152498
37147 Pitt County NC 182936
37151 Randolph County NC 149516
37159 Rowan County NC 155096
37179 Union County NC 267674
37183 Wake County NC 1257235
37191 Wayne County NC 122278
37195 Wilson County NC 81150
38015 Burleigh County ND 103251
38017 Cass County ND 201794
38035 Grand Forks County ND 74501
38059 Morton County ND 34601
38089 Stark County ND 34013
38101 Ward County ND 68233
38105 Williams County ND 41767
39003 Allen County OH 100881
39009 Athens County OH 63197
39017 Butler County OH 400128
39023 Clark County OH 135340
39035 Cuyahoga County OH 1232925
39041 Delaware County OH 242032
39045 Fairfield County OH 169752
39049 Franklin County OH 1361536
39057 Greene County OH 174322
39061 Hamilton County OH 838418
39063 Hancock County OH 75034
39085 Lake County OH 232217
39089 Licking County OH 185564
39093 Lorain County OH 323219
39095 Lucas County OH 423347
39099 Mahoning County OH 224706
39101 Marion County OH 65115
39103 Medina County OH 185025
39109 Miami County OH 112634
39113 Montgomery County OH 539598
39119 Muskingum County OH 87014
39133 Portage County OH 163404
39139 Richland County OH 124893
39151 Stark County OH 373771
39153 Summit County OH 538376
39155 Trumbull County OH 198972
39159 Union County OH 73446
39165 Warren County OH 257181
39169 Wayne County OH 116758
39173 Wood County OH 134176
40027 Cleveland County OK 303973
40031 Comanche County OK 122158
40047 Garfield County OK 61779
40101 Muskogee County OK 66708
40109 Oklahoma County OK 822125
40119 Payne County OK 83889
40125 Pottawatomie County OK 75102
40143 Tulsa County OK 698782
40147 Washington County OK 54037
41003 Benton County OR 97728
41005 Clackamas County OR 426280
41017 Deschutes County OR 213072
41029 Jackson County OR 221795
41033 Josephine County OR 87867
41039 Lane County OR 381584
41043 Linn County OR 132843
41047 Marion County OR 355777
41051 Multnomah County OR 795391
41067 Washington County OR 611708
41071 Yamhill County OR 110024
42003 Allegheny County PA 1225035
42011 Berks County PA 440072
42013 Blair County PA 119541
42027 Centre County PA 157393
42043 Dauphin County PA 293351
42045 Delaware County PA 580937
42049 Erie County PA 265832
42069 Lackawanna County PA 216502
42071 Lancaster County PA 563159
42075 Lebanon County PA 146380
42077 Lehigh County PA 384383
42079 Luzerne County PA 332126
42081 Lycoming County PA 112587
42091 Montgomery County PA 877643
42095 Northampton County PA 324411
42101 Philadelphia County PA 1574281
42133 York County PA 473197
44003 Kent County RI 173495
44007 Providence County RI 678179
45003 Aiken County SC 181515
45007 Anderson County SC 219930
45013 Beaufort County SC 204433
45015 Berkeley County SC 274666
45019 Charleston County SC 436200
45035 Dorchester County SC 178397
45041 Florence County SC 138504
45045 Greenville County SC 583125
45051 Horry County SC 427551
45063 Lexington County SC 317588
45077 Pickens County SC 139198
45079 Richland County SC 434956
45083 Spartanburg County SC 380857
45085 Sumter County SC 105067
45091 York County SC 306887
46011 Brookings County SD 37635
46013 Brown County SD 37561
46099 Minnehaha County SD 212691
46103 Pennington County SD 116792
47001 Anderson County TN 82066
47003 Bedford County TN 55273
47009 Blount County TN 143820
47011 Bradley County TN 115465
47037 Davidson County TN 745904
47063 Hamblen County TN 68843
47065 Hamilton County TN 390833
47093 Knox County TN 511453
47113 Madison County TN 100790
47119 Maury County TN 118131
47125 Montgomery County TN 249935
47141 Putnam County TN 86612
47149 Rutherford County TN 386352
47157 Shelby County TN 910226
47163 Sullivan County TN 163759
47165 Sumner County TN 215538
47179 Washington County TN 141199
47187 Williamson County TN 272061
47189 Wilson County TN 175033
48005 Angelina County TX 88154
48027 Bell County TX 402248
48029 Bexar County TX 2160088
48037 Bowie County TX 92696
48039 Brazoria County TX 419080
48041 Brazos County TX 249088
48061 Cameron County TX 433946
48085 Collin County TX 1297179
48091 Comal County TX 209166
48099 Coryell County TX 85592
48113 Dallas County TX 2661397
48121 Denton County TX 1069346
48135 Ector County TX 173801
48139 Ellis County TX 240867
48141 El Paso County TX 877858
48157 Fort Bend County TX 975191
48167 Galveston County TX 372207
48181 Grayson County TX 153613
48183 Gregg County TX 126095
48187 Guadalupe County TX 201111
48201 Harris County TX 5045026
48209 Hays County TX 304390
48215 Hidalgo County TX 921549
48231 Hunt County TX 123336
48245 Jefferson County TX 254321
48251 Johnson County TX 218048
48257 Kaufman County TX 209235
48265 Kerr County TX 54037
48277 Lamar County TX 51503
48303 Lubbock County TX 328906
48309 McLennan County TX 272020
48323 Maverick County TX 58823
48329 Midland County TX 187855
48339 Montgomery County TX 781194
48347 Nacogdoches County TX 66035
48349 Navarro County TX 57181
48355 Nueces County TX 352992
48367 Parker County TX 184767
48381 Randall County TX 152351
48397 Rockwall County TX 140738
48423 Smith County TX 252549
48439 Tarrant County TX 2248466
48441 Taylor County TX 150077
48451 Tom Green County TX 120602
48453 Travis County TX 1389670
48465 Val Verde County TX 47835
48469 Victoria County TX 92656
48471 Walker County TX 83842
48479 Webb County TX 281224
48485 Wichita County TX 129555
48491 Williamson County TX 752827
49005 Cache County UT 145000
49011 Davis County UT 381227
49021 Iron County UT 67141
49035 Salt Lake County UT 1220916
49045 Tooele County UT 87461
49049 Utah County UT 759859
49053 Washington County UT 213670
49057 Weber County UT 278174
50007 Chittenden County VT 169115
51059 Fairfax County VA 1167873
51107 Loudoun County VA 449749
51121 Montgomery County VA 98434
51510 Alexandria city VA 160662
51540 Charlottesville city VA 44388
51550 Chesapeake city VA 255332
51590 Danville city VA 41647
51600 Fairfax city VA 26772
51630 Fredericksburg city VA 30393
51650 Hampton city VA 137315
51660 Harrisonburg city VA 50839
51680 Lynchburg city VA 81347
51683 Manassas city VA 44332
51700 Newport News city VA 183230
51710 Norfolk city VA 231013
51730 Petersburg city VA 33734
51740 Portsmouth city VA 96777
51760 Richmond city VA 237257
51770 Roanoke city VA 99111
51775 Salem city VA 25816
51790 Staunton city VA 26801
51800 Suffolk city VA 104699
51810 Virginia Beach city VA 453737
51840 Winchester city VA 28272
53005 Benton County WA 221722
53007 Chelan County WA 81941
53011 Clark County WA 532119
53015 Cowlitz County WA 114885
53021 Franklin County WA 102612
53025 Grant County WA 105727
53033 King County WA 2344939
53035 Kitsap County WA 283374
53053 Pierce County WA 946288
53057 Skagit County WA 132975
53061 Snohomish County WA 870656
53063 Spokane County WA 558344
53067 Thurston County WA 304261
53071 Walla Walla County WA 62361
53073 Whatcom County WA 236392
53075 Whitman County WA 48512
53077 Yakima County WA 259185
54011 Cabell County WV 91183
54039 Kanawha County WV 172381
54061 Monongalia County WV 107991
54069 Ohio County WV 40496
54107 Wood County WV 82385
55009 Brown County WI 275803
55025 Dane County WI 590375
55031 Douglas County WI 43990
55035 Eau Claire County WI 109033
55039 Fond du Lac County WI 104669
55059 Kenosha County WI 168448
55063 La Crosse County WI 121339
55071 Manitowoc County WI 81710
55073 Marathon County WI 139432
55079 Milwaukee County WI 924216
55087 Outagamie County WI 195894
55089 Ozaukee County WI 94346
55097 Portage County WI 71943
55101 Racine County WI 198919
55105 Rock County WI 166472
55117 Sheboygan County WI 118047
55131 Washington County WI 139238
55133 Waukesha County WI 417210
55139 Winnebago County WI 174218
56001 Albany County WY 38558
56005 Campbell County WY 48145
56021 Laramie County WY 102938
56025 Natrona County WY 80526
1 code name region population
2 01001 Autauga County AL 61920
3 01003 Baldwin County AL 267761
4 01031 Coffee County AL 56953
5 01055 Etowah County AL 103886
6 01069 Houston County AL 110318
7 01073 Jefferson County AL 665742
8 01077 Lauderdale County AL 97135
9 01081 Lee County AL 189881
10 01083 Limestone County AL 122928
11 01089 Madison County AL 433516
12 01097 Mobile County AL 411658
13 01101 Montgomery County AL 225891
14 01103 Morgan County AL 126483
15 01113 Russell County AL 58898
16 01117 Shelby County AL 238552
17 01125 Tuscaloosa County AL 241368
18 02020 Anchorage Municipality AK 287155
19 02090 Fairbanks North Star Borough AK 93972
20 02110 Juneau City and Borough AK 31609
21 04003 Cochise County AZ 126332
22 04005 Coconino County AZ 144368
23 04013 Maricopa County AZ 4689558
24 04015 Mohave County AZ 228102
25 04019 Pima County AZ 1074685
26 04021 Pinal County AZ 539380
27 04025 Yavapai County AZ 252552
28 04027 Yuma County AZ 224449
29 05007 Benton County AR 332554
30 05031 Craighead County AR 116957
31 05045 Faulkner County AR 133979
32 05051 Garland County AR 99695
33 05055 Greene County AR 47411
34 05069 Jefferson County AR 62987
35 05085 Lonoke County AR 76664
36 05091 Miller County AR 42357
37 05115 Pope County AR 64976
38 05119 Pulaski County AR 404611
39 05125 Saline County AR 133288
40 05131 Sebastian County AR 130641
41 05143 Washington County AR 271213
42 06001 Alameda County CA 1636630
43 06007 Butte County CA 209211
44 06013 Contra Costa County CA 1170070
45 06019 Fresno County CA 1035456
46 06023 Humboldt County CA 131647
47 06025 Imperial County CA 181411
48 06029 Kern County CA 927068
49 06031 Kings County CA 154327
50 06037 Los Angeles County CA 9694934
51 06039 Madera County CA 167927
52 06041 Marin County CA 253694
53 06047 Merced County CA 297260
54 06053 Monterey County CA 433729
55 06055 Napa County CA 132949
56 06059 Orange County CA 3149507
57 06061 Placer County CA 442081
58 06065 Riverside County CA 2544916
59 06067 Sacramento County CA 1618460
60 06069 San Benito County CA 70082
61 06071 San Bernardino County CA 2224091
62 06073 San Diego County CA 3282248
63 06075 San Francisco County CA 826079
64 06077 San Joaquin County CA 823815
65 06079 San Luis Obispo County CA 282367
66 06081 San Mateo County CA 743568
67 06083 Santa Barbara County CA 442065
68 06085 Santa Clara County CA 1914391
69 06087 Santa Cruz County CA 258852
70 06089 Shasta County CA 181648
71 06095 Solano County CA 455376
72 06097 Sonoma County CA 486444
73 06099 Stanislaus County CA 557719
74 06101 Sutter County CA 98787
75 06107 Tulare County CA 485146
76 06111 Ventura County CA 830851
77 06113 Yolo County CA 224410
78 08001 Adams County CO 554668
79 08005 Arapahoe County CO 673820
80 08013 Boulder County CO 328560
81 08014 Broomfield County CO 79174
82 08031 Denver County CO 740613
83 08035 Douglas County CO 399396
84 08041 El Paso County CO 757040
85 08059 Jefferson County CO 580451
86 08069 Larimer County CO 377292
87 08077 Mesa County CO 162845
88 08101 Pueblo County CO 169277
89 08123 Weld County CO 378426
90 09110 Capitol Planning Region CT 994115
91 09120 Greater Bridgeport Planning Region CT 337697
92 09130 Lower Connecticut River Valley Planning Region CT 177311
93 09140 Naugatuck Valley Planning Region CT 463349
94 09160 Northwest Hills Planning Region CT 114690
95 09170 South Central Connecticut Planning Region CT 578741
96 09180 Southeastern Connecticut Planning Region CT 284015
97 09190 Western Connecticut Planning Region CT 640482
98 10001 Kent County DE 194786
99 10003 New Castle County DE 588026
100 11001 District of Columbia DC 693645
101 12001 Alachua County FL 290028
102 12005 Bay County FL 204479
103 12009 Brevard County FL 663982
104 12011 Broward County FL 2013317
105 12031 Duval County FL 1062963
106 12033 Escambia County FL 333834
107 12035 Flagler County FL 140360
108 12057 Hillsborough County FL 1574115
109 12061 Indian River County FL 172799
110 12069 Lake County FL 456068
111 12071 Lee County FL 875607
112 12073 Leon County FL 299048
113 12081 Manatee County FL 468200
114 12083 Marion County FL 442660
115 12086 Miami-Dade County FL 2802029
116 12091 Okaloosa County FL 221810
117 12095 Orange County FL 1528002
118 12097 Osceola County FL 481718
119 12099 Palm Beach County FL 1575726
120 12103 Pinellas County FL 948563
121 12105 Polk County FL 874790
122 12111 St. Lucie County FL 402449
123 12115 Sarasota County FL 479958
124 12117 Seminole County FL 491884
125 12127 Volusia County FL 606573
126 13015 Bartow County GA 120800
127 13021 Bibb County GA 157556
128 13031 Bulloch County GA 86949
129 13045 Carroll County GA 131036
130 13051 Chatham County GA 311855
131 13057 Cherokee County GA 299273
132 13059 Clarke County GA 129921
133 13067 Cobb County GA 793345
134 13077 Coweta County GA 160240
135 13089 DeKalb County GA 774394
136 13095 Dougherty County GA 82616
137 13097 Douglas County GA 154293
138 13113 Fayette County GA 125156
139 13115 Floyd County GA 101378
140 13121 Fulton County GA 1098791
141 13135 Gwinnett County GA 1018099
142 13139 Hall County GA 226568
143 13151 Henry County GA 264922
144 13153 Houston County GA 178214
145 13179 Liberty County GA 70313
146 13185 Lowndes County GA 122867
147 13215 Muscogee County GA 202171
148 13245 Richmond County GA 206559
149 13285 Troup County GA 72844
150 13313 Whitfield County GA 106212
151 16001 Ada County ID 546141
152 16005 Bannock County ID 91591
153 16019 Bonneville County ID 135771
154 16027 Canyon County ID 275123
155 16055 Kootenai County ID 191864
156 16057 Latah County ID 41842
157 16065 Madison County ID 55172
158 16069 Nez Perce County ID 42905
159 16083 Twin Falls County ID 97539
160 17001 Adams County IL 64267
161 17007 Boone County IL 53568
162 17019 Champaign County IL 209972
163 17031 Cook County IL 5194625
164 17037 DeKalb County IL 101835
165 17043 DuPage County IL 934298
166 17089 Kane County IL 525757
167 17093 Kendall County IL 145470
168 17095 Knox County IL 47767
169 17097 Lake County IL 719339
170 17111 McHenry County IL 317751
171 17113 McLean County IL 171419
172 17115 Macon County IL 99300
173 17119 Madison County IL 263110
174 17143 Peoria County IL 178553
175 17161 Rock Island County IL 141869
176 17163 St. Clair County IL 250708
177 17167 Sangamon County IL 194170
178 17179 Tazewell County IL 130049
179 17183 Vermilion County IL 71259
180 17197 Will County IL 712253
181 17201 Winnebago County IL 283674
182 18003 Allen County IN 402329
183 18005 Bartholomew County IN 85729
184 18011 Boone County IN 80689
185 18019 Clark County IN 130451
186 18035 Delaware County IN 113106
187 18039 Elkhart County IN 208774
188 18043 Floyd County IN 82153
189 18053 Grant County IN 66524
190 18057 Hamilton County IN 387036
191 18059 Hancock County IN 90969
192 18063 Hendricks County IN 193510
193 18067 Howard County IN 83904
194 18081 Johnson County IN 174262
195 18089 Lake County IN 504612
196 18091 LaPorte County IN 111294
197 18095 Madison County IN 135088
198 18097 Marion County IN 992196
199 18105 Monroe County IN 143345
200 18127 Porter County IN 176049
201 18141 St. Joseph County IN 272861
202 18157 Tippecanoe County IN 190456
203 18163 Vanderburgh County IN 181995
204 18167 Vigo County IN 106512
205 18177 Wayne County IN 66169
206 19013 Black Hawk County IA 131532
207 19033 Cerro Gordo County IA 42372
208 19049 Dallas County IA 118457
209 19061 Dubuque County IA 99381
210 19103 Johnson County IA 160044
211 19113 Linn County IA 232028
212 19127 Marshall County IA 39890
213 19153 Polk County IA 516546
214 19155 Pottawattamie County IA 92996
215 19163 Scott County IA 175259
216 19169 Story County IA 101291
217 19179 Wapello County IA 35210
218 19193 Woodbury County IA 106649
219 20045 Douglas County KS 120920
220 20055 Finney County KS 37505
221 20057 Ford County KS 33993
222 20091 Johnson County KS 636906
223 20103 Leavenworth County KS 84590
224 20155 Reno County KS 61539
225 20161 Riley County KS 72598
226 20169 Saline County KS 53377
227 20173 Sedgwick County KS 538433
228 20177 Shawnee County KS 178607
229 20209 Wyandotte County KS 170597
230 21015 Boone County KY 145316
231 21047 Christian County KY 70115
232 21059 Daviess County KY 104898
233 21067 Fayette County KY 329751
234 21073 Franklin County KY 52649
235 21093 Hardin County KY 113482
236 21101 Henderson County KY 44255
237 21111 Jefferson County KY 795222
238 21113 Jessamine County KY 57147
239 21117 Kenton County KY 175779
240 21145 McCracken County KY 67553
241 21151 Madison County KY 101696
242 21209 Scott County KY 62262
243 21227 Warren County KY 149375
244 22015 Bossier Parish LA 131867
245 22017 Caddo Parish LA 224226
246 22019 Calcasieu Parish LA 208466
247 22033 East Baton Rouge Parish LA 456180
248 22045 Iberia Parish LA 66846
249 22051 Jefferson Parish LA 431398
250 22071 Orleans Parish LA 362154
251 22073 Ouachita Parish LA 158542
252 22079 Rapides Parish LA 125877
253 22103 St. Tammany Parish LA 279108
254 22109 Terrebonne Parish LA 104163
255 23001 Androscoggin County ME 116487
256 23005 Cumberland County ME 317222
257 23019 Penobscot County ME 157967
258 24003 Anne Arundel County MD 603380
259 24021 Frederick County MD 302883
260 24031 Montgomery County MD 1074582
261 24033 Prince George's County MD 970374
262 24043 Washington County MD 157731
263 24045 Wicomico County MD 106899
264 24510 Baltimore city MD 569997
265 25001 Barnstable County MA 233539
266 25003 Berkshire County MA 128224
267 25005 Bristol County MA 593640
268 25009 Essex County MA 826653
269 25013 Hampden County MA 464338
270 25015 Hampshire County MA 164065
271 25017 Middlesex County MA 1669979
272 25021 Norfolk County MA 739749
273 25023 Plymouth County MA 546829
274 25025 Suffolk County MA 791891
275 25027 Worcester County MA 888502
276 26017 Bay County MI 102123
277 26025 Calhoun County MI 133408
278 26049 Genesee County MI 401093
279 26065 Ingham County MI 289709
280 26075 Jackson County MI 159552
281 26077 Kalamazoo County MI 263795
282 26081 Kent County MI 675232
283 26099 Macomb County MI 886221
284 26111 Midland County MI 83754
285 26121 Muskegon County MI 177901
286 26125 Oakland County MI 1288337
287 26139 Ottawa County MI 308459
288 26145 Saginaw County MI 187688
289 26147 St. Clair County MI 160486
290 26161 Washtenaw County MI 370214
291 26163 Wayne County MI 1769038
292 27003 Anoka County MN 381605
293 27013 Blue Earth County MN 70634
294 27019 Carver County MN 114379
295 27027 Clay County MN 67734
296 27037 Dakota County MN 457710
297 27053 Hennepin County MN 1284784
298 27099 Mower County MN 40971
299 27109 Olmsted County MN 166731
300 27123 Ramsey County MN 541623
301 27131 Rice County MN 69939
302 27137 St. Louis County MN 200518
303 27139 Scott County MN 159017
304 27141 Sherburne County MN 104194
305 27145 Stearns County MN 164110
306 27147 Steele County MN 37464
307 27163 Washington County MN 286895
308 27169 Winona County MN 50523
309 28033 DeSoto County MS 197918
310 28035 Forrest County MS 79034
311 28047 Harrison County MS 217136
312 28049 Hinds County MS 211888
313 28071 Lafayette County MS 59597
314 28075 Lauderdale County MS 70317
315 28081 Lee County MS 83731
316 28089 Madison County MS 116298
317 28105 Oktibbeha County MS 51896
318 28121 Rankin County MS 162181
319 28151 Washington County MS 40446
320 29019 Boone County MO 191746
321 29021 Buchanan County MO 83540
322 29031 Cape Girardeau County MO 83999
323 29037 Cass County MO 115859
324 29043 Christian County MO 96725
325 29047 Clay County MO 265032
326 29051 Cole County MO 77908
327 29077 Greene County MO 309286
328 29095 Jackson County MO 732994
329 29097 Jasper County MO 127428
330 29183 St. Charles County MO 426499
331 29189 St. Louis County MO 990911
332 29510 St. Louis city MO 278144
333 30013 Cascade County MT 85029
334 30029 Flathead County MT 115429
335 30031 Gallatin County MT 128740
336 30049 Lewis and Clark County MT 75331
337 30063 Missoula County MT 123513
338 30093 Silver Bow County MT 36118
339 30111 Yellowstone County MT 172692
340 31001 Adams County NE 31071
341 31019 Buffalo County NE 51172
342 31053 Dodge County NE 38057
343 31055 Douglas County NE 606460
344 31079 Hall County NE 63633
345 31109 Lancaster County NE 334049
346 31119 Madison County NE 36106
347 31141 Platte County NE 35649
348 31153 Sarpy County NE 208303
349 32003 Clark County NV 2407226
350 32019 Lyon County NV 65088
351 32031 Washoe County NV 509386
352 32510 Carson City NV 58571
353 33011 Hillsborough County NH 433415
354 33013 Merrimack County NH 158078
355 33017 Strafford County NH 135043
356 34001 Atlantic County NJ 278657
357 34003 Bergen County NJ 977026
358 34007 Camden County NJ 535799
359 34011 Cumberland County NJ 157148
360 34013 Essex County NJ 896379
361 34017 Hudson County NJ 735033
362 34021 Mercer County NJ 399289
363 34023 Middlesex County NJ 883335
364 34025 Monmouth County NJ 651035
365 34031 Passaic County NJ 531624
366 34039 Union County NJ 601863
367 35001 Bernalillo County NM 667601
368 35005 Chaves County NM 63364
369 35009 Curry County NM 46655
370 35013 Doña Ana County NM 229091
371 35015 Eddy County NM 62509
372 35025 Lea County NM 74749
373 35035 Otero County NM 70368
374 35043 Sandoval County NM 159565
375 35045 San Juan County NM 120340
376 35049 Santa Fe County NM 156907
377 36001 Albany County NY 321225
378 36007 Broome County NY 195736
379 36011 Cayuga County NY 74365
380 36013 Chautauqua County NY 124126
381 36015 Chemung County NY 80415
382 36027 Dutchess County NY 300708
383 36029 Erie County NY 946741
384 36047 Kings County NY 2653963
385 36055 Monroe County NY 750506
386 36059 Nassau County NY 1398939
387 36063 Niagara County NY 208912
388 36065 Oneida County NY 226392
389 36067 Onondaga County NY 466584
390 36071 Orange County NY 417669
391 36083 Rensselaer County NY 160510
392 36091 Saratoga County NY 241343
393 36093 Schenectady County NY 162581
394 36103 Suffolk County NY 1546090
395 36109 Tompkins County NY 104047
396 36119 Westchester County NY 1015743
397 37001 Alamance County NC 186177
398 37019 Brunswick County NC 174702
399 37021 Buncombe County NC 277417
400 37025 Cabarrus County NC 249725
401 37035 Catawba County NC 170172
402 37049 Craven County NC 105025
403 37051 Cumberland County NC 338473
404 37057 Davidson County NC 180182
405 37063 Durham County NC 347240
406 37067 Forsyth County NC 401718
407 37071 Gaston County NC 246558
408 37081 Guilford County NC 562234
409 37097 Iredell County NC 211798
410 37101 Johnston County NC 256448
411 37105 Lee County NC 70258
412 37119 Mecklenburg County NC 1233383
413 37127 Nash County NC 99365
414 37129 New Hanover County NC 245959
415 37133 Onslow County NC 217175
416 37135 Orange County NC 152498
417 37147 Pitt County NC 182936
418 37151 Randolph County NC 149516
419 37159 Rowan County NC 155096
420 37179 Union County NC 267674
421 37183 Wake County NC 1257235
422 37191 Wayne County NC 122278
423 37195 Wilson County NC 81150
424 38015 Burleigh County ND 103251
425 38017 Cass County ND 201794
426 38035 Grand Forks County ND 74501
427 38059 Morton County ND 34601
428 38089 Stark County ND 34013
429 38101 Ward County ND 68233
430 38105 Williams County ND 41767
431 39003 Allen County OH 100881
432 39009 Athens County OH 63197
433 39017 Butler County OH 400128
434 39023 Clark County OH 135340
435 39035 Cuyahoga County OH 1232925
436 39041 Delaware County OH 242032
437 39045 Fairfield County OH 169752
438 39049 Franklin County OH 1361536
439 39057 Greene County OH 174322
440 39061 Hamilton County OH 838418
441 39063 Hancock County OH 75034
442 39085 Lake County OH 232217
443 39089 Licking County OH 185564
444 39093 Lorain County OH 323219
445 39095 Lucas County OH 423347
446 39099 Mahoning County OH 224706
447 39101 Marion County OH 65115
448 39103 Medina County OH 185025
449 39109 Miami County OH 112634
450 39113 Montgomery County OH 539598
451 39119 Muskingum County OH 87014
452 39133 Portage County OH 163404
453 39139 Richland County OH 124893
454 39151 Stark County OH 373771
455 39153 Summit County OH 538376
456 39155 Trumbull County OH 198972
457 39159 Union County OH 73446
458 39165 Warren County OH 257181
459 39169 Wayne County OH 116758
460 39173 Wood County OH 134176
461 40027 Cleveland County OK 303973
462 40031 Comanche County OK 122158
463 40047 Garfield County OK 61779
464 40101 Muskogee County OK 66708
465 40109 Oklahoma County OK 822125
466 40119 Payne County OK 83889
467 40125 Pottawatomie County OK 75102
468 40143 Tulsa County OK 698782
469 40147 Washington County OK 54037
470 41003 Benton County OR 97728
471 41005 Clackamas County OR 426280
472 41017 Deschutes County OR 213072
473 41029 Jackson County OR 221795
474 41033 Josephine County OR 87867
475 41039 Lane County OR 381584
476 41043 Linn County OR 132843
477 41047 Marion County OR 355777
478 41051 Multnomah County OR 795391
479 41067 Washington County OR 611708
480 41071 Yamhill County OR 110024
481 42003 Allegheny County PA 1225035
482 42011 Berks County PA 440072
483 42013 Blair County PA 119541
484 42027 Centre County PA 157393
485 42043 Dauphin County PA 293351
486 42045 Delaware County PA 580937
487 42049 Erie County PA 265832
488 42069 Lackawanna County PA 216502
489 42071 Lancaster County PA 563159
490 42075 Lebanon County PA 146380
491 42077 Lehigh County PA 384383
492 42079 Luzerne County PA 332126
493 42081 Lycoming County PA 112587
494 42091 Montgomery County PA 877643
495 42095 Northampton County PA 324411
496 42101 Philadelphia County PA 1574281
497 42133 York County PA 473197
498 44003 Kent County RI 173495
499 44007 Providence County RI 678179
500 45003 Aiken County SC 181515
501 45007 Anderson County SC 219930
502 45013 Beaufort County SC 204433
503 45015 Berkeley County SC 274666
504 45019 Charleston County SC 436200
505 45035 Dorchester County SC 178397
506 45041 Florence County SC 138504
507 45045 Greenville County SC 583125
508 45051 Horry County SC 427551
509 45063 Lexington County SC 317588
510 45077 Pickens County SC 139198
511 45079 Richland County SC 434956
512 45083 Spartanburg County SC 380857
513 45085 Sumter County SC 105067
514 45091 York County SC 306887
515 46011 Brookings County SD 37635
516 46013 Brown County SD 37561
517 46099 Minnehaha County SD 212691
518 46103 Pennington County SD 116792
519 47001 Anderson County TN 82066
520 47003 Bedford County TN 55273
521 47009 Blount County TN 143820
522 47011 Bradley County TN 115465
523 47037 Davidson County TN 745904
524 47063 Hamblen County TN 68843
525 47065 Hamilton County TN 390833
526 47093 Knox County TN 511453
527 47113 Madison County TN 100790
528 47119 Maury County TN 118131
529 47125 Montgomery County TN 249935
530 47141 Putnam County TN 86612
531 47149 Rutherford County TN 386352
532 47157 Shelby County TN 910226
533 47163 Sullivan County TN 163759
534 47165 Sumner County TN 215538
535 47179 Washington County TN 141199
536 47187 Williamson County TN 272061
537 47189 Wilson County TN 175033
538 48005 Angelina County TX 88154
539 48027 Bell County TX 402248
540 48029 Bexar County TX 2160088
541 48037 Bowie County TX 92696
542 48039 Brazoria County TX 419080
543 48041 Brazos County TX 249088
544 48061 Cameron County TX 433946
545 48085 Collin County TX 1297179
546 48091 Comal County TX 209166
547 48099 Coryell County TX 85592
548 48113 Dallas County TX 2661397
549 48121 Denton County TX 1069346
550 48135 Ector County TX 173801
551 48139 Ellis County TX 240867
552 48141 El Paso County TX 877858
553 48157 Fort Bend County TX 975191
554 48167 Galveston County TX 372207
555 48181 Grayson County TX 153613
556 48183 Gregg County TX 126095
557 48187 Guadalupe County TX 201111
558 48201 Harris County TX 5045026
559 48209 Hays County TX 304390
560 48215 Hidalgo County TX 921549
561 48231 Hunt County TX 123336
562 48245 Jefferson County TX 254321
563 48251 Johnson County TX 218048
564 48257 Kaufman County TX 209235
565 48265 Kerr County TX 54037
566 48277 Lamar County TX 51503
567 48303 Lubbock County TX 328906
568 48309 McLennan County TX 272020
569 48323 Maverick County TX 58823
570 48329 Midland County TX 187855
571 48339 Montgomery County TX 781194
572 48347 Nacogdoches County TX 66035
573 48349 Navarro County TX 57181
574 48355 Nueces County TX 352992
575 48367 Parker County TX 184767
576 48381 Randall County TX 152351
577 48397 Rockwall County TX 140738
578 48423 Smith County TX 252549
579 48439 Tarrant County TX 2248466
580 48441 Taylor County TX 150077
581 48451 Tom Green County TX 120602
582 48453 Travis County TX 1389670
583 48465 Val Verde County TX 47835
584 48469 Victoria County TX 92656
585 48471 Walker County TX 83842
586 48479 Webb County TX 281224
587 48485 Wichita County TX 129555
588 48491 Williamson County TX 752827
589 49005 Cache County UT 145000
590 49011 Davis County UT 381227
591 49021 Iron County UT 67141
592 49035 Salt Lake County UT 1220916
593 49045 Tooele County UT 87461
594 49049 Utah County UT 759859
595 49053 Washington County UT 213670
596 49057 Weber County UT 278174
597 50007 Chittenden County VT 169115
598 51059 Fairfax County VA 1167873
599 51107 Loudoun County VA 449749
600 51121 Montgomery County VA 98434
601 51510 Alexandria city VA 160662
602 51540 Charlottesville city VA 44388
603 51550 Chesapeake city VA 255332
604 51590 Danville city VA 41647
605 51600 Fairfax city VA 26772
606 51630 Fredericksburg city VA 30393
607 51650 Hampton city VA 137315
608 51660 Harrisonburg city VA 50839
609 51680 Lynchburg city VA 81347
610 51683 Manassas city VA 44332
611 51700 Newport News city VA 183230
612 51710 Norfolk city VA 231013
613 51730 Petersburg city VA 33734
614 51740 Portsmouth city VA 96777
615 51760 Richmond city VA 237257
616 51770 Roanoke city VA 99111
617 51775 Salem city VA 25816
618 51790 Staunton city VA 26801
619 51800 Suffolk city VA 104699
620 51810 Virginia Beach city VA 453737
621 51840 Winchester city VA 28272
622 53005 Benton County WA 221722
623 53007 Chelan County WA 81941
624 53011 Clark County WA 532119
625 53015 Cowlitz County WA 114885
626 53021 Franklin County WA 102612
627 53025 Grant County WA 105727
628 53033 King County WA 2344939
629 53035 Kitsap County WA 283374
630 53053 Pierce County WA 946288
631 53057 Skagit County WA 132975
632 53061 Snohomish County WA 870656
633 53063 Spokane County WA 558344
634 53067 Thurston County WA 304261
635 53071 Walla Walla County WA 62361
636 53073 Whatcom County WA 236392
637 53075 Whitman County WA 48512
638 53077 Yakima County WA 259185
639 54011 Cabell County WV 91183
640 54039 Kanawha County WV 172381
641 54061 Monongalia County WV 107991
642 54069 Ohio County WV 40496
643 54107 Wood County WV 82385
644 55009 Brown County WI 275803
645 55025 Dane County WI 590375
646 55031 Douglas County WI 43990
647 55035 Eau Claire County WI 109033
648 55039 Fond du Lac County WI 104669
649 55059 Kenosha County WI 168448
650 55063 La Crosse County WI 121339
651 55071 Manitowoc County WI 81710
652 55073 Marathon County WI 139432
653 55079 Milwaukee County WI 924216
654 55087 Outagamie County WI 195894
655 55089 Ozaukee County WI 94346
656 55097 Portage County WI 71943
657 55101 Racine County WI 198919
658 55105 Rock County WI 166472
659 55117 Sheboygan County WI 118047
660 55131 Washington County WI 139238
661 55133 Waukesha County WI 417210
662 55139 Winnebago County WI 174218
663 56001 Albany County WY 38558
664 56005 Campbell County WY 48145
665 56021 Laramie County WY 102938
666 56025 Natrona County WY 80526
data/geo/US/postal-code.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{code}", "rows": "postal-code.tsv", "key": "code", "parent": "locality", "weight": "addresses" }
data/geo/US/postal-code.tsv
-6467
View File
File diff suppressed because it is too large Load Diff
data/geo/US/region.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "region.tsv", "key": "abbr", "name": "name", "weight": "population" }
data/geo/US/region.tsv
-51
View File
@@ -1,51 +0,0 @@
abbr code name population timezone
AK 02 Alaska 737270 America/Anchorage
AL 01 Alabama 5193088 America/Chicago
AR 05 Arkansas 3114791 America/Chicago
AZ 04 Arizona 7623818 America/Phoenix
CA 06 California 39355309 America/Los_Angeles
CO 08 Colorado 6012561 America/Denver
CT 09 Connecticut 3688496 America/New_York
DC 11 District of Columbia 693645 America/New_York
DE 10 Delaware 1059952 America/New_York
FL 12 Florida 23462518 America/New_York
GA 13 Georgia 11302748 America/New_York
IA 19 Iowa 3238387 America/Chicago
ID 16 Idaho 2029733 America/Boise
IL 17 Illinois 12719141 America/Chicago
IN 18 Indiana 6973333 America/Indiana/Indianapolis
KS 20 Kansas 2977220 America/Chicago
KY 21 Kentucky 4606864 America/New_York
LA 22 Louisiana 4618189 America/Chicago
MA 25 Massachusetts 7154084 America/New_York
MD 24 Maryland 6265347 America/New_York
ME 23 Maine 1414874 America/New_York
MI 26 Michigan 10127884 America/Detroit
MN 27 Minnesota 5830405 America/Chicago
MO 29 Missouri 6270541 America/Chicago
MS 28 Mississippi 2954160 America/Chicago
MT 30 Montana 1144694 America/Denver
NC 37 North Carolina 11197968 America/New_York
ND 38 North Dakota 799358 America/Chicago
NE 31 Nebraska 2018006 America/Chicago
NH 33 New Hampshire 1415342 America/New_York
NJ 34 New Jersey 9548215 America/New_York
NM 35 New Mexico 2125498 America/Denver
NV 32 Nevada 3282188 America/Los_Angeles
NY 36 New York 20002427 America/New_York
OH 39 Ohio 11900510 America/New_York
OK 40 Oklahoma 4123288 America/Chicago
OR 41 Oregon 4273586 America/Los_Angeles
PA 42 Pennsylvania 13059432 America/New_York
RI 44 Rhode Island 1114521 America/New_York
SC 45 South Carolina 5570274 America/New_York
SD 46 South Dakota 935094 America/Chicago
TN 47 Tennessee 7315076 America/Chicago
TX 48 Texas 31709821 America/Chicago
UT 49 Utah 3538904 America/Denver
VA 51 Virginia 8880107 America/New_York
VT 50 Vermont 644663 America/New_York
WA 53 Washington 8001020 America/Los_Angeles
WI 55 Wisconsin 5972787 America/Chicago
WV 54 West Virginia 1766147 America/New_York
WY 56 Wyoming 588753 America/Denver
1 abbr code name population timezone
2 AK 02 Alaska 737270 America/Anchorage
3 AL 01 Alabama 5193088 America/Chicago
4 AR 05 Arkansas 3114791 America/Chicago
5 AZ 04 Arizona 7623818 America/Phoenix
6 CA 06 California 39355309 America/Los_Angeles
7 CO 08 Colorado 6012561 America/Denver
8 CT 09 Connecticut 3688496 America/New_York
9 DC 11 District of Columbia 693645 America/New_York
10 DE 10 Delaware 1059952 America/New_York
11 FL 12 Florida 23462518 America/New_York
12 GA 13 Georgia 11302748 America/New_York
13 IA 19 Iowa 3238387 America/Chicago
14 ID 16 Idaho 2029733 America/Boise
15 IL 17 Illinois 12719141 America/Chicago
16 IN 18 Indiana 6973333 America/Indiana/Indianapolis
17 KS 20 Kansas 2977220 America/Chicago
18 KY 21 Kentucky 4606864 America/New_York
19 LA 22 Louisiana 4618189 America/Chicago
20 MA 25 Massachusetts 7154084 America/New_York
21 MD 24 Maryland 6265347 America/New_York
22 ME 23 Maine 1414874 America/New_York
23 MI 26 Michigan 10127884 America/Detroit
24 MN 27 Minnesota 5830405 America/Chicago
25 MO 29 Missouri 6270541 America/Chicago
26 MS 28 Mississippi 2954160 America/Chicago
27 MT 30 Montana 1144694 America/Denver
28 NC 37 North Carolina 11197968 America/New_York
29 ND 38 North Dakota 799358 America/Chicago
30 NE 31 Nebraska 2018006 America/Chicago
31 NH 33 New Hampshire 1415342 America/New_York
32 NJ 34 New Jersey 9548215 America/New_York
33 NM 35 New Mexico 2125498 America/Denver
34 NV 32 Nevada 3282188 America/Los_Angeles
35 NY 36 New York 20002427 America/New_York
36 OH 39 Ohio 11900510 America/New_York
37 OK 40 Oklahoma 4123288 America/Chicago
38 OR 41 Oregon 4273586 America/Los_Angeles
39 PA 42 Pennsylvania 13059432 America/New_York
40 RI 44 Rhode Island 1114521 America/New_York
41 SC 45 South Carolina 5570274 America/New_York
42 SD 46 South Dakota 935094 America/Chicago
43 TN 47 Tennessee 7315076 America/Chicago
44 TX 48 Texas 31709821 America/Chicago
45 UT 49 Utah 3538904 America/Denver
46 VA 51 Virginia 8880107 America/New_York
47 VT 50 Vermont 644663 America/New_York
48 WA 53 Washington 8001020 America/Los_Angeles
49 WI 55 Wisconsin 5972787 America/Chicago
50 WV 54 West Virginia 1766147 America/New_York
51 WY 56 Wyoming 588753 America/Denver
data/geo/US/street.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "street.tsv", "parent": "locality", "weight": "addresses" }
data/geo/US/street.tsv
-15841
View File
File diff suppressed because it is too large Load Diff
data/misc/car.json
+10 -1
View File
@@ -1 +1,10 @@
{ "format": "{make} {model}", "rows": "car.tsv" }
[
{ "format": "{maker} {model}", "maker": "BMW", "model": ["3 Series", "5 Series", "X3", "X5"] },
{ "format": "{maker} {model}", "maker": "Ford", "model": ["Fiesta", "Focus", "Mustang", "Explorer"] },
{ "format": "{maker} {model}", "maker": "Honda", "model": ["Civic", "Accord", "CR-V", "Jazz"] },
{ "format": "{maker} {model}", "maker": "Mercedes-Benz", "model": ["A-Class", "C-Class", "E-Class", "GLC"] },
{ "format": "{maker} {model}", "maker": "Tesla", "model": ["Model 3", "Model S", "Model X", "Model Y"] },
{ "format": "{maker} {model}", "maker": "Toyota", "model": ["Corolla", "Camry", "RAV4", "Yaris"] },
{ "format": "{maker} {model}", "maker": "Volkswagen", "model": ["Golf", "Passat", "Polo", "Tiguan"] },
{ "format": "{maker} {model}", "maker": "Volvo", "model": ["XC40", "XC60", "XC90", "V60"] }
]
data/misc/car.tsv
-33
View File
@@ -1,33 +0,0 @@
make model
BMW 3 Series
BMW 5 Series
BMW X3
BMW X5
Ford Explorer
Ford Fiesta
Ford Focus
Ford Mustang
Honda Accord
Honda CR-V
Honda Civic
Honda Jazz
Mercedes-Benz A-Class
Mercedes-Benz C-Class
Mercedes-Benz E-Class
Mercedes-Benz GLC
Tesla Model 3
Tesla Model S
Tesla Model X
Tesla Model Y
Toyota Camry
Toyota Corolla
Toyota RAV4
Toyota Yaris
Volkswagen Golf
Volkswagen Passat
Volkswagen Polo
Volkswagen Tiguan
Volvo V60
Volvo XC40
Volvo XC60
Volvo XC90
1 make model
2 BMW 3 Series
3 BMW 5 Series
4 BMW X3
5 BMW X5
6 Ford Explorer
7 Ford Fiesta
8 Ford Focus
9 Ford Mustang
10 Honda Accord
11 Honda CR-V
12 Honda Civic
13 Honda Jazz
14 Mercedes-Benz A-Class
15 Mercedes-Benz C-Class
16 Mercedes-Benz E-Class
17 Mercedes-Benz GLC
18 Tesla Model 3
19 Tesla Model S
20 Tesla Model X
21 Tesla Model Y
22 Toyota Camry
23 Toyota Corolla
24 Toyota RAV4
25 Toyota Yaris
26 Volkswagen Golf
27 Volkswagen Passat
28 Volkswagen Polo
29 Volkswagen Tiguan
30 Volvo V60
31 Volvo XC40
32 Volvo XC60
33 Volvo XC90
data/misc/country.json
+22
View File
@@ -0,0 +1,22 @@
[
{ "format": "{name}", "name": "Australia", "alpha2": "AU", "alpha3": "AUS" },
{ "format": "{name}", "name": "Brazil", "alpha2": "BR", "alpha3": "BRA" },
{ "format": "{name}", "name": "Canada", "alpha2": "CA", "alpha3": "CAN" },
{ "format": "{name}", "name": "China", "alpha2": "CN", "alpha3": "CHN" },
{ "format": "{name}", "name": "Denmark", "alpha2": "DK", "alpha3": "DNK" },
{ "format": "{name}", "name": "Finland", "alpha2": "FI", "alpha3": "FIN" },
{ "format": "{name}", "name": "France", "alpha2": "FR", "alpha3": "FRA" },
{ "format": "{name}", "name": "Germany", "alpha2": "DE", "alpha3": "DEU" },
{ "format": "{name}", "name": "India", "alpha2": "IN", "alpha3": "IND" },
{ "format": "{name}", "name": "Italy", "alpha2": "IT", "alpha3": "ITA" },
{ "format": "{name}", "name": "Japan", "alpha2": "JP", "alpha3": "JPN" },
{ "format": "{name}", "name": "Mexico", "alpha2": "MX", "alpha3": "MEX" },
{ "format": "{name}", "name": "Netherlands", "alpha2": "NL", "alpha3": "NLD" },
{ "format": "{name}", "name": "Norway", "alpha2": "NO", "alpha3": "NOR" },
{ "format": "{name}", "name": "Poland", "alpha2": "PL", "alpha3": "POL" },
{ "format": "{name}", "name": "Spain", "alpha2": "ES", "alpha3": "ESP" },
{ "format": "{name}", "name": "Sweden", "alpha2": "SE", "alpha3": "SWE" },
{ "format": "{name}", "name": "Switzerland", "alpha2": "CH", "alpha3": "CHE" },
{ "format": "{name}", "name": "United Kingdom", "alpha2": "GB", "alpha3": "GBR" },
{ "format": "{name}", "name": "United States", "alpha2": "US", "alpha3": "USA" }
]
data/misc/currency.json
+18 -1
View File
@@ -1 +1,18 @@
{ "format": "{code}", "rows": "currency.tsv", "key": "code", "name": "name" }
[
{ "format": "{code}", "code": "AUD", "name": "Australian Dollar", "symbol": "$" },
{ "format": "{code}", "code": "BRL", "name": "Brazilian Real", "symbol": "R$" },
{ "format": "{code}", "code": "CAD", "name": "Canadian Dollar", "symbol": "$" },
{ "format": "{code}", "code": "CHF", "name": "Swiss Franc", "symbol": "CHF" },
{ "format": "{code}", "code": "CNY", "name": "Chinese Yuan", "symbol": "¥" },
{ "format": "{code}", "code": "DKK", "name": "Danish Krone", "symbol": "kr" },
{ "format": "{code}", "code": "EUR", "name": "Euro", "symbol": "€" },
{ "format": "{code}", "code": "GBP", "name": "Pound Sterling", "symbol": "£" },
{ "format": "{code}", "code": "INR", "name": "Indian Rupee", "symbol": "₹" },
{ "format": "{code}", "code": "JPY", "name": "Japanese Yen", "symbol": "¥" },
{ "format": "{code}", "code": "MXN", "name": "Mexican Peso", "symbol": "$" },
{ "format": "{code}", "code": "NOK", "name": "Norwegian Krone", "symbol": "kr" },
{ "format": "{code}", "code": "PLN", "name": "Polish Zloty", "symbol": "zł" },
{ "format": "{code}", "code": "SEK", "name": "Swedish Krona", "symbol": "kr" },
{ "format": "{code}", "code": "USD", "name": "US Dollar", "symbol": "$" },
{ "format": "{code}", "code": "ZAR", "name": "South African Rand", "symbol": "R" }
]
data/misc/currency.tsv
-166
View File
@@ -1,166 +0,0 @@
code decimals name numeric symbol
AED 2 UAE Dirham 784 AED
AFN 2 Afghani 971 ؋
ALL 2 Lek 008 ALL
AMD 2 Armenian Dram 051 ֏
AOA 2 Kwanza 973 Kz
ARS 2 Argentine Peso 032 $
AUD 2 Australian Dollar 036 $
AWG 2 Aruban Florin 533 AWG
AZN 2 Azerbaijan Manat 944 ₼
BAM 2 Convertible Mark 977 KM
BBD 2 Barbados Dollar 052 $
BDT 2 Taka 050 ৳
BHD 3 Bahraini Dinar 048 BHD
BIF 0 Burundi Franc 108 BIF
BMD 2 Bermudian Dollar 060 $
BND 2 Brunei Dollar 096 $
BOB 2 Boliviano 068 Bs
BOV 2 Mvdol 984 BOV
BRL 2 Brazilian Real 986 R$
BSD 2 Bahamian Dollar 044 $
BTN 2 Ngultrum 064 BTN
BWP 2 Pula 072 P
BYN 2 Belarusian Ruble 933 BYN
BZD 2 Belize Dollar 084 $
CAD 2 Canadian Dollar 124 $
CDF 2 Congolese Franc 976 CDF
CHE 2 WIR Euro 947 CHE
CHF 2 Swiss Franc 756 Fr.
CHW 2 WIR Franc 948 CHW
CLF 4 Unidad de Fomento 990 CLF
CLP 0 Chilean Peso 152 $
CNY 2 Yuan Renminbi 156 ¥
COP 2 Colombian Peso 170 $
COU 2 Unidad de Valor Real 970 COU
CRC 2 Costa Rican Colon 188 ₡
CUP 2 Cuban Peso 192 $
CVE 2 Cabo Verde Escudo 132 CVE
CZK 2 Czech Koruna 203 Kč
DJF 0 Djibouti Franc 262 DJF
DKK 2 Danish Krone 208 kr
DOP 2 Dominican Peso 214 $
DZD 2 Algerian Dinar 012 DZD
EGP 2 Egyptian Pound 818 E£
ERN 2 Nakfa 232 ERN
ETB 2 Ethiopian Birr 230 ETB
EUR 2 Euro 978 €
FJD 2 Fiji Dollar 242 $
FKP 2 Falkland Islands Pound 238 £
GBP 2 Pound Sterling 826 £
GEL 2 Lari 981 ₾
GHS 2 Ghana Cedi 936 GH₵
GIP 2 Gibraltar Pound 292 £
GMD 2 Dalasi 270 GMD
GNF 0 Guinean Franc 324 FG
GTQ 2 Quetzal 320 Q
GYD 2 Guyana Dollar 328 $
HKD 2 Hong Kong Dollar 344 $
HNL 2 Lempira 340 L
HTG 2 Gourde 332 HTG
HUF 2 Forint 348 Ft
IDR 2 Rupiah 360 Rp
ILS 2 New Israeli Sheqel 376 ₪
INR 2 Indian Rupee 356 ₹
IQD 3 Iraqi Dinar 368 IQD
IRR 2 Iranian Rial 364 IRR
ISK 0 Iceland Krona 352 kr
JMD 2 Jamaican Dollar 388 $
JOD 3 Jordanian Dinar 400 JOD
JPY 0 Yen 392 ¥
KES 2 Kenyan Shilling 404 KES
KGS 2 Som 417 ⃀
KHR 2 Riel 116 ៛
KMF 0 Comorian Franc 174 CF
KPW 2 North Korean Won 408 ₩
KRW 0 Won 410 ₩
KWD 3 Kuwaiti Dinar 414 KWD
KYD 2 Cayman Islands Dollar 136 $
KZT 2 Tenge 398 ₸
LAK 2 Lao Kip 418 ₭
LBP 2 Lebanese Pound 422 L£
LKR 2 Sri Lanka Rupee 144 Rs
LRD 2 Liberian Dollar 430 $
LSL 2 Loti 426 LSL
LYD 3 Libyan Dinar 434 LYD
MAD 2 Moroccan Dirham 504 MAD
MDL 2 Moldovan Leu 498 MDL
MGA 2 Malagasy Ariary 969 Ar
MKD 2 Denar 807 MKD
MMK 2 Kyat 104 K
MNT 2 Tugrik 496 ₮
MOP 2 Pataca 446 MOP
MRU 2 Ouguiya 929 MRU
MUR 2 Mauritius Rupee 480 Rs
MVR 2 Rufiyaa 462 MVR
MWK 2 Malawi Kwacha 454 MWK
MXN 2 Mexican Peso 484 $
MXV 2 Mexican Unidad de Inversion (UDI) 979 MXV
MYR 2 Malaysian Ringgit 458 RM
MZN 2 Mozambique Metical 943 MZN
NAD 2 Namibia Dollar 516 $
NGN 2 Naira 566 ₦
NIO 2 Cordoba Oro 558 C$
NOK 2 Norwegian Krone 578 kr
NPR 2 Nepalese Rupee 524 Rs
NZD 2 New Zealand Dollar 554 $
OMR 3 Rial Omani 512 OMR
PAB 2 Balboa 590 PAB
PEN 2 Sol 604 PEN
PGK 2 Kina 598 PGK
PHP 2 Philippine Peso 608 ₱
PKR 2 Pakistan Rupee 586 Rs
PLN 2 Zloty 985 zł
PYG 0 Guarani 600 ₲
QAR 2 Qatari Rial 634 QAR
RON 2 Romanian Leu 946 lei
RSD 2 Serbian Dinar 941 RSD
RUB 2 Russian Ruble 643 ₽
RWF 0 Rwanda Franc 646 RF
SAR 2 Saudi Riyal 682 SAR
SBD 2 Solomon Islands Dollar 090 $
SCR 2 Seychelles Rupee 690 SCR
SDG 2 Sudanese Pound 938 SDG
SEK 2 Swedish Krona 752 kr
SGD 2 Singapore Dollar 702 $
SHP 2 Saint Helena Pound 654 £
SLE 2 Leone 925 SLE
SOS 2 Somali Shilling 706 SOS
SRD 2 Surinam Dollar 968 $
SSP 2 South Sudanese Pound 728 £
STN 2 Dobra 930 Db
SVC 2 El Salvador Colon 222 SVC
SYP 2 Syrian Pound 760 £
SZL 2 Lilangeni 748 SZL
THB 2 Baht 764 ฿
TJS 2 Somoni 972 TJS
TMT 2 Turkmenistan New Manat 934 TMT
TND 3 Tunisian Dinar 788 TND
TOP 2 Pa’anga 776 T$
TRY 2 Turkish Lira 949 ₺
TTD 2 Trinidad and Tobago Dollar 780 $
TWD 2 New Taiwan Dollar 901 $
TZS 2 Tanzanian Shilling 834 TZS
UAH 2 Hryvnia 980 ₴
UGX 0 Uganda Shilling 800 UGX
USD 2 US Dollar 840 $
USN 2 US Dollar (Next day) 997 USN
UYI 0 Uruguay Peso en Unidades Indexadas (UI) 940 UYI
UYU 2 Peso Uruguayo 858 $
UYW 4 Unidad Previsional 927 UYW
UZS 2 Uzbekistan Sum 860 UZS
VED 2 Bolívar Soberano 926 VED
VES 2 Bolívar Soberano 928 VES
VND 0 Dong 704 ₫
VUV 0 Vatu 548 VUV
WST 2 Tala 882 WST
XAD 2 Arab Accounting Dinar 396 XAD
XAF 0 CFA Franc BEAC 950 FCFA
XCD 2 East Caribbean Dollar 951 $
XCG 2 Caribbean Guilder 532 Cg.
XOF 0 CFA Franc BCEAO 952 F CFA
XPF 0 CFP Franc 953 CFPF
YER 2 Yemeni Rial 886 YER
ZAR 2 Rand 710 R
ZMW 2 Zambian Kwacha 967 ZK
ZWG 2 Zimbabwe Gold 924 ZWG
1 code decimals name numeric symbol
2 AED 2 UAE Dirham 784 AED
3 AFN 2 Afghani 971 ؋
4 ALL 2 Lek 008 ALL
5 AMD 2 Armenian Dram 051 ֏
6 AOA 2 Kwanza 973 Kz
7 ARS 2 Argentine Peso 032 $
8 AUD 2 Australian Dollar 036 $
9 AWG 2 Aruban Florin 533 AWG
10 AZN 2 Azerbaijan Manat 944 ₼
11 BAM 2 Convertible Mark 977 KM
12 BBD 2 Barbados Dollar 052 $
13 BDT 2 Taka 050 ৳
14 BHD 3 Bahraini Dinar 048 BHD
15 BIF 0 Burundi Franc 108 BIF
16 BMD 2 Bermudian Dollar 060 $
17 BND 2 Brunei Dollar 096 $
18 BOB 2 Boliviano 068 Bs
19 BOV 2 Mvdol 984 BOV
20 BRL 2 Brazilian Real 986 R$
21 BSD 2 Bahamian Dollar 044 $
22 BTN 2 Ngultrum 064 BTN
23 BWP 2 Pula 072 P
24 BYN 2 Belarusian Ruble 933 BYN
25 BZD 2 Belize Dollar 084 $
26 CAD 2 Canadian Dollar 124 $
27 CDF 2 Congolese Franc 976 CDF
28 CHE 2 WIR Euro 947 CHE
29 CHF 2 Swiss Franc 756 Fr.
30 CHW 2 WIR Franc 948 CHW
31 CLF 4 Unidad de Fomento 990 CLF
32 CLP 0 Chilean Peso 152 $
33 CNY 2 Yuan Renminbi 156 ¥
34 COP 2 Colombian Peso 170 $
35 COU 2 Unidad de Valor Real 970 COU
36 CRC 2 Costa Rican Colon 188 ₡
37 CUP 2 Cuban Peso 192 $
38 CVE 2 Cabo Verde Escudo 132 CVE
39 CZK 2 Czech Koruna 203 Kč
40 DJF 0 Djibouti Franc 262 DJF
41 DKK 2 Danish Krone 208 kr
42 DOP 2 Dominican Peso 214 $
43 DZD 2 Algerian Dinar 012 DZD
44 EGP 2 Egyptian Pound 818 E£
45 ERN 2 Nakfa 232 ERN
46 ETB 2 Ethiopian Birr 230 ETB
47 EUR 2 Euro 978 €
48 FJD 2 Fiji Dollar 242 $
49 FKP 2 Falkland Islands Pound 238 £
50 GBP 2 Pound Sterling 826 £
51 GEL 2 Lari 981 ₾
52 GHS 2 Ghana Cedi 936 GH₵
53 GIP 2 Gibraltar Pound 292 £
54 GMD 2 Dalasi 270 GMD
55 GNF 0 Guinean Franc 324 FG
56 GTQ 2 Quetzal 320 Q
57 GYD 2 Guyana Dollar 328 $
58 HKD 2 Hong Kong Dollar 344 $
59 HNL 2 Lempira 340 L
60 HTG 2 Gourde 332 HTG
61 HUF 2 Forint 348 Ft
62 IDR 2 Rupiah 360 Rp
63 ILS 2 New Israeli Sheqel 376 ₪
64 INR 2 Indian Rupee 356 ₹
65 IQD 3 Iraqi Dinar 368 IQD
66 IRR 2 Iranian Rial 364 IRR
67 ISK 0 Iceland Krona 352 kr
68 JMD 2 Jamaican Dollar 388 $
69 JOD 3 Jordanian Dinar 400 JOD
70 JPY 0 Yen 392 ¥
71 KES 2 Kenyan Shilling 404 KES
72 KGS 2 Som 417 ⃀
73 KHR 2 Riel 116 ៛
74 KMF 0 Comorian Franc 174 CF
75 KPW 2 North Korean Won 408 ₩
76 KRW 0 Won 410 ₩
77 KWD 3 Kuwaiti Dinar 414 KWD
78 KYD 2 Cayman Islands Dollar 136 $
79 KZT 2 Tenge 398 ₸
80 LAK 2 Lao Kip 418 ₭
81 LBP 2 Lebanese Pound 422 L£
82 LKR 2 Sri Lanka Rupee 144 Rs
83 LRD 2 Liberian Dollar 430 $
84 LSL 2 Loti 426 LSL
85 LYD 3 Libyan Dinar 434 LYD
86 MAD 2 Moroccan Dirham 504 MAD
87 MDL 2 Moldovan Leu 498 MDL
88 MGA 2 Malagasy Ariary 969 Ar
89 MKD 2 Denar 807 MKD
90 MMK 2 Kyat 104 K
91 MNT 2 Tugrik 496 ₮
92 MOP 2 Pataca 446 MOP
93 MRU 2 Ouguiya 929 MRU
94 MUR 2 Mauritius Rupee 480 Rs
95 MVR 2 Rufiyaa 462 MVR
96 MWK 2 Malawi Kwacha 454 MWK
97 MXN 2 Mexican Peso 484 $
98 MXV 2 Mexican Unidad de Inversion (UDI) 979 MXV
99 MYR 2 Malaysian Ringgit 458 RM
100 MZN 2 Mozambique Metical 943 MZN
101 NAD 2 Namibia Dollar 516 $
102 NGN 2 Naira 566 ₦
103 NIO 2 Cordoba Oro 558 C$
104 NOK 2 Norwegian Krone 578 kr
105 NPR 2 Nepalese Rupee 524 Rs
106 NZD 2 New Zealand Dollar 554 $
107 OMR 3 Rial Omani 512 OMR
108 PAB 2 Balboa 590 PAB
109 PEN 2 Sol 604 PEN
110 PGK 2 Kina 598 PGK
111 PHP 2 Philippine Peso 608 ₱
112 PKR 2 Pakistan Rupee 586 Rs
113 PLN 2 Zloty 985 zł
114 PYG 0 Guarani 600 ₲
115 QAR 2 Qatari Rial 634 QAR
116 RON 2 Romanian Leu 946 lei
117 RSD 2 Serbian Dinar 941 RSD
118 RUB 2 Russian Ruble 643 ₽
119 RWF 0 Rwanda Franc 646 RF
120 SAR 2 Saudi Riyal 682 SAR
121 SBD 2 Solomon Islands Dollar 090 $
122 SCR 2 Seychelles Rupee 690 SCR
123 SDG 2 Sudanese Pound 938 SDG
124 SEK 2 Swedish Krona 752 kr
125 SGD 2 Singapore Dollar 702 $
126 SHP 2 Saint Helena Pound 654 £
127 SLE 2 Leone 925 SLE
128 SOS 2 Somali Shilling 706 SOS
129 SRD 2 Surinam Dollar 968 $
130 SSP 2 South Sudanese Pound 728 £
131 STN 2 Dobra 930 Db
132 SVC 2 El Salvador Colon 222 SVC
133 SYP 2 Syrian Pound 760 £
134 SZL 2 Lilangeni 748 SZL
135 THB 2 Baht 764 ฿
136 TJS 2 Somoni 972 TJS
137 TMT 2 Turkmenistan New Manat 934 TMT
138 TND 3 Tunisian Dinar 788 TND
139 TOP 2 Pa’anga 776 T$
140 TRY 2 Turkish Lira 949 ₺
141 TTD 2 Trinidad and Tobago Dollar 780 $
142 TWD 2 New Taiwan Dollar 901 $
143 TZS 2 Tanzanian Shilling 834 TZS
144 UAH 2 Hryvnia 980 ₴
145 UGX 0 Uganda Shilling 800 UGX
146 USD 2 US Dollar 840 $
147 USN 2 US Dollar (Next day) 997 USN
148 UYI 0 Uruguay Peso en Unidades Indexadas (UI) 940 UYI
149 UYU 2 Peso Uruguayo 858 $
150 UYW 4 Unidad Previsional 927 UYW
151 UZS 2 Uzbekistan Sum 860 UZS
152 VED 2 Bolívar Soberano 926 VED
153 VES 2 Bolívar Soberano 928 VES
154 VND 0 Dong 704 ₫
155 VUV 0 Vatu 548 VUV
156 WST 2 Tala 882 WST
157 XAD 2 Arab Accounting Dinar 396 XAD
158 XAF 0 CFA Franc BEAC 950 FCFA
159 XCD 2 East Caribbean Dollar 951 $
160 XCG 2 Caribbean Guilder 532 Cg.
161 XOF 0 CFA Franc BCEAO 952 F CFA
162 XPF 0 CFP Franc 953 CFPF
163 YER 2 Yemeni Rial 886 YER
164 ZAR 2 Rand 710 R
165 ZMW 2 Zambian Kwacha 967 ZK
166 ZWG 2 Zimbabwe Gold 924 ZWG
data/misc/datetime.json
-1
View File
@@ -1 +0,0 @@
"{date(2000-01-01,2029-12-31,'2006-01-02T15:04:05Z')}"
data/misc/httpmethod.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{method}", "rows": "httpmethod.tsv", "key": "method" }
data/misc/httpmethod.tsv
-10
View File
@@ -1,10 +0,0 @@
idempotent method safe
false CONNECT false
true DELETE false
true GET true
true HEAD true
true OPTIONS true
false PATCH false
false POST false
true PUT false
true TRACE true
1 idempotent method safe
2 false CONNECT false
3 true DELETE false
4 true GET true
5 true HEAD true
6 true OPTIONS true
7 false PATCH false
8 false POST false
9 true PUT false
10 true TRACE true
data/misc/httpstatus.json
+18 -1
View File
@@ -1 +1,18 @@
{ "format": "{code} {reason}", "rows": "httpstatus.tsv", "key": "code", "name": "reason" }
[
{ "format": "{code} {reason}", "code": "200", "reason": "OK" },
{ "format": "{code} {reason}", "code": "201", "reason": "Created" },
{ "format": "{code} {reason}", "code": "204", "reason": "No Content" },
{ "format": "{code} {reason}", "code": "301", "reason": "Moved Permanently" },
{ "format": "{code} {reason}", "code": "302", "reason": "Found" },
{ "format": "{code} {reason}", "code": "304", "reason": "Not Modified" },
{ "format": "{code} {reason}", "code": "400", "reason": "Bad Request" },
{ "format": "{code} {reason}", "code": "401", "reason": "Unauthorized" },
{ "format": "{code} {reason}", "code": "403", "reason": "Forbidden" },
{ "format": "{code} {reason}", "code": "404", "reason": "Not Found" },
{ "format": "{code} {reason}", "code": "409", "reason": "Conflict" },
{ "format": "{code} {reason}", "code": "422", "reason": "Unprocessable Entity" },
{ "format": "{code} {reason}", "code": "429", "reason": "Too Many Requests" },
{ "format": "{code} {reason}", "code": "500", "reason": "Internal Server Error" },
{ "format": "{code} {reason}", "code": "502", "reason": "Bad Gateway" },
{ "format": "{code} {reason}", "code": "503", "reason": "Service Unavailable" }
]
data/misc/httpstatus.tsv
-61
View File
@@ -1,61 +0,0 @@
code reason
100 Continue
101 Switching Protocols
102 Processing
103 Early Hints
200 OK
201 Created
202 Accepted
203 Non-Authoritative Information
204 No Content
205 Reset Content
206 Partial Content
207 Multi-Status
208 Already Reported
226 IM Used
300 Multiple Choices
301 Moved Permanently
302 Found
303 See Other
304 Not Modified
305 Use Proxy
307 Temporary Redirect
308 Permanent Redirect
400 Bad Request
401 Unauthorized
402 Payment Required
403 Forbidden
404 Not Found
405 Method Not Allowed
406 Not Acceptable
407 Proxy Authentication Required
408 Request Timeout
409 Conflict
410 Gone
411 Length Required
412 Precondition Failed
413 Content Too Large
414 URI Too Long
415 Unsupported Media Type
416 Range Not Satisfiable
417 Expectation Failed
421 Misdirected Request
422 Unprocessable Content
423 Locked
424 Failed Dependency
425 Too Early
426 Upgrade Required
428 Precondition Required
429 Too Many Requests
431 Request Header Fields Too Large
451 Unavailable For Legal Reasons
500 Internal Server Error
501 Not Implemented
502 Bad Gateway
503 Service Unavailable
504 Gateway Timeout
505 HTTP Version Not Supported
506 Variant Also Negotiates
507 Insufficient Storage
508 Loop Detected
511 Network Authentication Required
1 code reason
2 100 Continue
3 101 Switching Protocols
4 102 Processing
5 103 Early Hints
6 200 OK
7 201 Created
8 202 Accepted
9 203 Non-Authoritative Information
10 204 No Content
11 205 Reset Content
12 206 Partial Content
13 207 Multi-Status
14 208 Already Reported
15 226 IM Used
16 300 Multiple Choices
17 301 Moved Permanently
18 302 Found
19 303 See Other
20 304 Not Modified
21 305 Use Proxy
22 307 Temporary Redirect
23 308 Permanent Redirect
24 400 Bad Request
25 401 Unauthorized
26 402 Payment Required
27 403 Forbidden
28 404 Not Found
29 405 Method Not Allowed
30 406 Not Acceptable
31 407 Proxy Authentication Required
32 408 Request Timeout
33 409 Conflict
34 410 Gone
35 411 Length Required
36 412 Precondition Failed
37 413 Content Too Large
38 414 URI Too Long
39 415 Unsupported Media Type
40 416 Range Not Satisfiable
41 417 Expectation Failed
42 421 Misdirected Request
43 422 Unprocessable Content
44 423 Locked
45 424 Failed Dependency
46 425 Too Early
47 426 Upgrade Required
48 428 Precondition Required
49 429 Too Many Requests
50 431 Request Header Fields Too Large
51 451 Unavailable For Legal Reasons
52 500 Internal Server Error
53 501 Not Implemented
54 502 Bad Gateway
55 503 Service Unavailable
56 504 Gateway Timeout
57 505 HTTP Version Not Supported
58 506 Variant Also Negotiates
59 507 Insufficient Storage
60 508 Loop Detected
61 511 Network Authentication Required
data/misc/language.json
+18 -1
View File
@@ -1 +1,18 @@
{ "format": "{name}", "rows": "language.tsv", "key": "code", "name": "name" }
[
{ "format": "{name}", "name": "Arabic", "code": "ar" },
{ "format": "{name}", "name": "Chinese", "code": "zh" },
{ "format": "{name}", "name": "Danish", "code": "da" },
{ "format": "{name}", "name": "Dutch", "code": "nl" },
{ "format": "{name}", "name": "English", "code": "en" },
{ "format": "{name}", "name": "Finnish", "code": "fi" },
{ "format": "{name}", "name": "French", "code": "fr" },
{ "format": "{name}", "name": "German", "code": "de" },
{ "format": "{name}", "name": "Italian", "code": "it" },
{ "format": "{name}", "name": "Japanese", "code": "ja" },
{ "format": "{name}", "name": "Norwegian", "code": "no" },
{ "format": "{name}", "name": "Polish", "code": "pl" },
{ "format": "{name}", "name": "Portuguese", "code": "pt" },
{ "format": "{name}", "name": "Russian", "code": "ru" },
{ "format": "{name}", "name": "Spanish", "code": "es" },
{ "format": "{name}", "name": "Swedish", "code": "sv" }
]
data/misc/language.tsv
-184
View File
@@ -1,184 +0,0 @@
code code3 name
aa aar Afar
ab abk Abkhazian
ae ave Avestan
af afr Afrikaans
ak aka Akan
am amh Amharic
an arg Aragonese
ar ara Arabic
as asm Assamese
av ava Avaric
ay aym Aymara
az aze Azerbaijani
ba bak Bashkir
be bel Belarusian
bg bul Bulgarian
bi bis Bislama
bm bam Bambara
bn ben Bengali
bo bod Tibetan
br bre Breton
bs bos Bosnian
ca cat Catalan
ce che Chechen
ch cha Chamorro
co cos Corsican
cr cre Cree
cs ces Czech
cu chu Church Slavic
cv chv Chuvash
cy cym Welsh
da dan Danish
de deu German
dv div Divehi
dz dzo Dzongkha
ee ewe Ewe
el ell Modern Greek
en eng English
eo epo Esperanto
es spa Spanish
et est Estonian
eu eus Basque
fa fas Persian
ff ful Fulah
fi fin Finnish
fj fij Fijian
fo fao Faroese
fr fra French
fy fry Western Frisian
ga gle Irish
gd gla Gaelic
gl glg Galician
gn grn Guarani
gu guj Gujarati
gv glv Manx
ha hau Hausa
he heb Hebrew
hi hin Hindi
ho hmo Hiri Motu
hr hrv Croatian
ht hat Haitian
hu hun Hungarian
hy hye Armenian
hz her Herero
ia ina Interlingua
id ind Indonesian
ie ile Interlingue
ig ibo Igbo
ii iii Sichuan Yi
ik ipk Inupiaq
io ido Ido
is isl Icelandic
it ita Italian
iu iku Inuktitut
ja jpn Japanese
jv jav Javanese
ka kat Georgian
kg kon Kongo
ki kik Kikuyu
kj kua Kuanyama
kk kaz Kazakh
kl kal Kalaallisut
km khm Central Khmer
kn kan Kannada
ko kor Korean
kr kau Kanuri
ks kas Kashmiri
ku kur Kurdish
kv kom Komi
kw cor Cornish
ky kir Kirghiz
la lat Latin
lb ltz Luxembourgish
lg lug Ganda
li lim Limburgan
ln lin Lingala
lo lao Lao
lt lit Lithuanian
lu lub Luba-Katanga
lv lav Latvian
mg mlg Malagasy
mh mah Marshallese
mi mri Maori
mk mkd Macedonian
ml mal Malayalam
mn mon Mongolian
mr mar Marathi
ms msa Malay
mt mlt Maltese
my mya Burmese
na nau Nauru
nb nob Norwegian Bokmål
nd nde North Ndebele
ne nep Nepali
ng ndo Ndonga
nl nld Dutch
nn nno Norwegian Nynorsk
no nor Norwegian
nr nbl South Ndebele
nv nav Navajo
ny nya Chichewa
oc oci Occitan
oj oji Ojibwa
om orm Oromo
or ori Oriya
os oss Ossetian
pa pan Panjabi
pi pli Pali
pl pol Polish
ps pus Pushto
pt por Portuguese
qu que Quechua
rm roh Romansh
rn run Rundi
ro ron Romanian
ru rus Russian
rw kin Kinyarwanda
sa san Sanskrit
sc srd Sardinian
sd snd Sindhi
se sme Northern Sami
sg sag Sango
si sin Sinhala
sk slk Slovak
sl slv Slovenian
sm smo Samoan
sn sna Shona
so som Somali
sq sqi Albanian
sr srp Serbian
ss ssw Swati
st sot Sotho, Southern
su sun Sundanese
sv swe Swedish
sw swa Swahili
ta tam Tamil
te tel Telugu
tg tgk Tajik
th tha Thai
ti tir Tigrinya
tk tuk Turkmen
tl tgl Tagalog
tn tsn Tswana
to ton Tonga
tr tur Turkish
ts tso Tsonga
tt tat Tatar
tw twi Twi
ty tah Tahitian
ug uig Uighur
uk ukr Ukrainian
ur urd Urdu
uz uzb Uzbek
ve ven Venda
vi vie Vietnamese
vo vol Volapük
wa wln Walloon
wo wol Wolof
xh xho Xhosa
yi yid Yiddish
yo yor Yoruba
za zha Zhuang
zh zho Chinese
zu zul Zulu
1 code code3 name
2 aa aar Afar
3 ab abk Abkhazian
4 ae ave Avestan
5 af afr Afrikaans
6 ak aka Akan
7 am amh Amharic
8 an arg Aragonese
9 ar ara Arabic
10 as asm Assamese
11 av ava Avaric
12 ay aym Aymara
13 az aze Azerbaijani
14 ba bak Bashkir
15 be bel Belarusian
16 bg bul Bulgarian
17 bi bis Bislama
18 bm bam Bambara
19 bn ben Bengali
20 bo bod Tibetan
21 br bre Breton
22 bs bos Bosnian
23 ca cat Catalan
24 ce che Chechen
25 ch cha Chamorro
26 co cos Corsican
27 cr cre Cree
28 cs ces Czech
29 cu chu Church Slavic
30 cv chv Chuvash
31 cy cym Welsh
32 da dan Danish
33 de deu German
34 dv div Divehi
35 dz dzo Dzongkha
36 ee ewe Ewe
37 el ell Modern Greek
38 en eng English
39 eo epo Esperanto
40 es spa Spanish
41 et est Estonian
42 eu eus Basque
43 fa fas Persian
44 ff ful Fulah
45 fi fin Finnish
46 fj fij Fijian
47 fo fao Faroese
48 fr fra French
49 fy fry Western Frisian
50 ga gle Irish
51 gd gla Gaelic
52 gl glg Galician
53 gn grn Guarani
54 gu guj Gujarati
55 gv glv Manx
56 ha hau Hausa
57 he heb Hebrew
58 hi hin Hindi
59 ho hmo Hiri Motu
60 hr hrv Croatian
61 ht hat Haitian
62 hu hun Hungarian
63 hy hye Armenian
64 hz her Herero
65 ia ina Interlingua
66 id ind Indonesian
67 ie ile Interlingue
68 ig ibo Igbo
69 ii iii Sichuan Yi
70 ik ipk Inupiaq
71 io ido Ido
72 is isl Icelandic
73 it ita Italian
74 iu iku Inuktitut
75 ja jpn Japanese
76 jv jav Javanese
77 ka kat Georgian
78 kg kon Kongo
79 ki kik Kikuyu
80 kj kua Kuanyama
81 kk kaz Kazakh
82 kl kal Kalaallisut
83 km khm Central Khmer
84 kn kan Kannada
85 ko kor Korean
86 kr kau Kanuri
87 ks kas Kashmiri
88 ku kur Kurdish
89 kv kom Komi
90 kw cor Cornish
91 ky kir Kirghiz
92 la lat Latin
93 lb ltz Luxembourgish
94 lg lug Ganda
95 li lim Limburgan
96 ln lin Lingala
97 lo lao Lao
98 lt lit Lithuanian
99 lu lub Luba-Katanga
100 lv lav Latvian
101 mg mlg Malagasy
102 mh mah Marshallese
103 mi mri Maori
104 mk mkd Macedonian
105 ml mal Malayalam
106 mn mon Mongolian
107 mr mar Marathi
108 ms msa Malay
109 mt mlt Maltese
110 my mya Burmese
111 na nau Nauru
112 nb nob Norwegian Bokmål
113 nd nde North Ndebele
114 ne nep Nepali
115 ng ndo Ndonga
116 nl nld Dutch
117 nn nno Norwegian Nynorsk
118 no nor Norwegian
119 nr nbl South Ndebele
120 nv nav Navajo
121 ny nya Chichewa
122 oc oci Occitan
123 oj oji Ojibwa
124 om orm Oromo
125 or ori Oriya
126 os oss Ossetian
127 pa pan Panjabi
128 pi pli Pali
129 pl pol Polish
130 ps pus Pushto
131 pt por Portuguese
132 qu que Quechua
133 rm roh Romansh
134 rn run Rundi
135 ro ron Romanian
136 ru rus Russian
137 rw kin Kinyarwanda
138 sa san Sanskrit
139 sc srd Sardinian
140 sd snd Sindhi
141 se sme Northern Sami
142 sg sag Sango
143 si sin Sinhala
144 sk slk Slovak
145 sl slv Slovenian
146 sm smo Samoan
147 sn sna Shona
148 so som Somali
149 sq sqi Albanian
150 sr srp Serbian
151 ss ssw Swati
152 st sot Sotho, Southern
153 su sun Sundanese
154 sv swe Swedish
155 sw swa Swahili
156 ta tam Tamil
157 te tel Telugu
158 tg tgk Tajik
159 th tha Thai
160 ti tir Tigrinya
161 tk tuk Turkmen
162 tl tgl Tagalog
163 tn tsn Tswana
164 to ton Tonga
165 tr tur Turkish
166 ts tso Tsonga
167 tt tat Tatar
168 tw twi Twi
169 ty tah Tahitian
170 ug uig Uighur
171 uk ukr Ukrainian
172 ur urd Urdu
173 uz uzb Uzbek
174 ve ven Venda
175 vi vie Vietnamese
176 vo vol Volapük
177 wa wln Walloon
178 wo wol Wolof
179 xh xho Xhosa
180 yi yid Yiddish
181 yo yor Yoruba
182 za zha Zhuang
183 zh zho Chinese
184 zu zul Zulu
data/misc/loglevel.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{keyword}", "rows": "loglevel.tsv", "key": "code", "name": "keyword" }
data/misc/loglevel.tsv
-9
View File
@@ -1,9 +0,0 @@
code keyword severity
0 emerg Emergency
1 alert Alert
2 crit Critical
3 err Error
4 warning Warning
5 notice Notice
6 info Informational
7 debug Debug
1 code keyword severity
2 0 emerg Emergency
3 1 alert Alert
4 2 crit Critical
5 3 err Error
6 4 warning Warning
7 5 notice Notice
8 6 info Informational
9 7 debug Debug
data/misc/mimetype.json
+17 -1
View File
@@ -1 +1,17 @@
{ "format": "{type}", "rows": "mimetype.tsv", "key": "type", "name": "ext" }
[
{ "format": "{type}", "type": "application/gzip", "ext": ".gz" },
{ "format": "{type}", "type": "application/json", "ext": ".json" },
{ "format": "{type}", "type": "application/pdf", "ext": ".pdf" },
{ "format": "{type}", "type": "application/xml", "ext": ".xml" },
{ "format": "{type}", "type": "application/zip", "ext": ".zip" },
{ "format": "{type}", "type": "audio/mpeg", "ext": ".mp3" },
{ "format": "{type}", "type": "image/gif", "ext": ".gif" },
{ "format": "{type}", "type": "image/jpeg", "ext": ".jpg" },
{ "format": "{type}", "type": "image/png", "ext": ".png" },
{ "format": "{type}", "type": "image/svg+xml", "ext": ".svg" },
{ "format": "{type}", "type": "image/webp", "ext": ".webp" },
{ "format": "{type}", "type": "text/csv", "ext": ".csv" },
{ "format": "{type}", "type": "text/html", "ext": ".html" },
{ "format": "{type}", "type": "text/plain", "ext": ".txt" },
{ "format": "{type}", "type": "video/mp4", "ext": ".mp4" }
]
data/misc/mimetype.tsv
-702
View File
@@ -1,702 +0,0 @@
ext type
.ez application/andrew-inset
.atom application/atom+xml
.atomcat application/atomcat+xml
.atomdeleted application/atomdeleted+xml
.atomsvc application/atomsvc+xml
.dwd application/atsc-dwd+xml
.held application/atsc-held+xml
.rsat application/atsc-rsat+xml
.aml application/automationml-aml+xml
.amlx application/automationml-amlx+zip
.xcs application/calendar+xml
.ccxml application/ccxml+xml
.cdfx application/cdfx+xml
.cdmia application/cdmi-capability
.cdmic application/cdmi-container
.cdmid application/cdmi-domain
.cdmio application/cdmi-object
.cdmiq application/cdmi-queue
.cpl application/cpl+xml
.cwl application/cwl
.mpd application/dash+xml
.mpp application/dash-patch+xml
.davmount application/davmount+xml
.dcm application/dicom
.dssc application/dssc+der
.xdssc application/dssc+xml
.emma application/emma+xml
.emotionml application/emotionml+xml
.epub application/epub+zip
.exi application/exi
.exp application/express
.fdf application/fdf
.fdt application/fdt+xml
.pfr application/font-tdpfr
.geojson application/geo+json
.gml application/gml+xml
.gz application/gzip
.stk application/hyperstudio
.ink application/inkml+xml
.ipfix application/ipfix
.its application/its+xml
.jar application/java-archive
.json application/json
.kbl application/kbl+xml
.jsonld application/ld+json
.lgr application/lgr+xml
.lostxml application/lost+xml
.hqx application/mac-binhex40
.mads application/mads+xml
.webmanifest application/manifest+json
.mrc application/marc
.mrcx application/marcxml+xml
.ma application/mathematica
.mathml application/mathml+xml
.mbox application/mbox
.mpf application/media-policy-dataset+xml
.mscml application/mediaservercontrol+xml
.meta4 application/metalink4+xml
.mets application/mets+xml
.maei application/mmt-aei+xml
.musd application/mmt-usd+xml
.mods application/mods+xml
.m21 application/mp21
.mp4s application/mp4
.doc application/msword
.mxf application/mxf
.nq application/n-quads
.nt application/n-triples
.cjs application/node
.bin application/octet-stream
.oda application/oda
.opf application/oebps-package+xml
.ogx application/ogg
.oxps application/oxps
.relo application/p2p-overlay+xml
.xer application/patch-ops-error+xml
.pdf application/pdf
.pgp application/pgp-encrypted
.asc application/pgp-keys
.sig application/pgp-signature
.p10 application/pkcs10
.p7m application/pkcs7-mime
.p7s application/pkcs7-signature
.p8 application/pkcs8
.ac application/pkix-attr-cert
.cer application/pkix-cert
.crl application/pkix-crl
.pkipath application/pkix-pkipath
.pki application/pkixcmp
.pls application/pls+xml
.ai application/postscript
.provx application/provenance+xml
.cww application/prs.cww
.xsf application/prs.xsf+xml
.pskcxml application/pskc+xml
.rdf application/rdf+xml
.rif application/reginfo+xml
.rnc application/relax-ng-compact-syntax
.rl application/resource-lists+xml
.rld application/resource-lists-diff+xml
.rs application/rls-services+xml
.rapd application/route-apd+xml
.sls application/route-s-tsid+xml
.rusd application/route-usd+xml
.gbr application/rpki-ghostbusters
.mft application/rpki-manifest
.roa application/rpki-roa
.rtf application/rtf
.sbml application/sbml+xml
.scq application/scvp-cv-request
.scs application/scvp-cv-response
.spq application/scvp-vp-request
.spp application/scvp-vp-response
.sdp application/sdp
.senmlx application/senml+xml
.sensmlx application/sensml+xml
.setpay application/set-payment-initiation
.setreg application/set-registration-initiation
.shf application/shf+xml
.siv application/sieve
.smi application/smil+xml
.rq application/sparql-query
.srx application/sparql-results+xml
.sql application/sql
.gram application/srgs
.grxml application/srgs+xml
.sru application/sru+xml
.ssml application/ssml+xml
.swidtag application/swid+xml
.tei application/tei+xml
.tfi application/thraud+xml
.tsd application/timestamped-data
.toml application/toml
.trig application/trig
.ttml application/ttml+xml
.rsheet application/urc-ressheet+xml
.td application/urc-targetdesc+xml
.vec application/vec+xml
.1km application/vnd.1000minds.decision-model+xml
.plb application/vnd.3gpp.pic-bw-large
.psb application/vnd.3gpp.pic-bw-small
.pvb application/vnd.3gpp.pic-bw-var
.tcap application/vnd.3gpp2.tcap
.pwn application/vnd.3m.post-it-notes
.aso application/vnd.accpac.simply.aso
.imp application/vnd.accpac.simply.imp
.acu application/vnd.acucobol
.atc application/vnd.acucorp
.fcdt application/vnd.adobe.formscentral.fcdt
.fxp application/vnd.adobe.fxp
.xdp application/vnd.adobe.xdp+xml
.age application/vnd.age
.ahead application/vnd.ahead.space
.azf application/vnd.airzip.filesecure.azf
.azs application/vnd.airzip.filesecure.azs
.acc application/vnd.americandynamics.acc
.ami application/vnd.amiga.ami
.cii application/vnd.anser-web-certificate-issue-initiation
.atx application/vnd.antix.game-component
.parquet application/vnd.apache.parquet
.mpkg application/vnd.apple.installer+xml
.key application/vnd.apple.keynote
.m3u8 application/vnd.apple.mpegurl
.numbers application/vnd.apple.numbers
.pages application/vnd.apple.pages
.swi application/vnd.aristanetworks.swi
.iota application/vnd.astraea-software.iota
.aep application/vnd.audiograph
.bmml application/vnd.balsamiq.bmml+xml
.mpm application/vnd.blueice.multipass
.bmi application/vnd.bmi
.rep application/vnd.businessobjects
.cdxml application/vnd.chemdraw+xml
.mmd application/vnd.chipnuts.karaoke-mmd
.cdy application/vnd.cinderella
.csl application/vnd.citationstyles.style+xml
.cla application/vnd.claymore
.rp9 application/vnd.cloanto.rp9
.c4g application/vnd.clonk.c4group
.c11amc application/vnd.cluetrust.cartomobile-config
.c11amz application/vnd.cluetrust.cartomobile-config-pkg
.csp application/vnd.commonspace
.cdbcmsg application/vnd.contact.cmsg
.cmc application/vnd.cosmocaller
.clkx application/vnd.crick.clicker
.clkk application/vnd.crick.clicker.keyboard
.clkp application/vnd.crick.clicker.palette
.clkt application/vnd.crick.clicker.template
.clkw application/vnd.crick.clicker.wordbank
.wbs application/vnd.criticaltools.wbs+xml
.pml application/vnd.ctc-posml
.ppd application/vnd.cups-ppd
.dart application/vnd.dart
.rdz application/vnd.data-vision.rdz
.dbf application/vnd.dbf
.dcmp application/vnd.dcmp+xml
.uvf application/vnd.dece.data
.uvt application/vnd.dece.ttml+xml
.uvx application/vnd.dece.unspecified
.uvz application/vnd.dece.zip
.fe_launch application/vnd.denovo.fcselayout-link
.dna application/vnd.dna
.dpg application/vnd.dpgraph
.dfac application/vnd.dreamfactory
.ait application/vnd.dvb.ait
.svc application/vnd.dvb.service
.geo application/vnd.dynageo
.mag application/vnd.ecowin.chart
.nml application/vnd.enliven
.esf application/vnd.epson.esf
.msf application/vnd.epson.msf
.qam application/vnd.epson.quickanime
.slt application/vnd.epson.salt
.ssf application/vnd.epson.ssf
.es3 application/vnd.eszigno3+xml
.ez2 application/vnd.ezpix-album
.ez3 application/vnd.ezpix-package
.mseed application/vnd.fdsn.mseed
.seed application/vnd.fdsn.seed
.gph application/vnd.flographit
.ftc application/vnd.fluxtime.clip
.fm application/vnd.framemaker
.fsc application/vnd.fsc.weblaunch
.oas application/vnd.fujitsu.oasys
.oa2 application/vnd.fujitsu.oasys2
.oa3 application/vnd.fujitsu.oasys3
.fg5 application/vnd.fujitsu.oasysgp
.bh2 application/vnd.fujitsu.oasysprs
.ddd application/vnd.fujixerox.ddd
.xdw application/vnd.fujixerox.docuworks
.xbd application/vnd.fujixerox.docuworks.binder
.fzs application/vnd.fuzzysheet
.txd application/vnd.genomatix.tuxedo
.ggb application/vnd.geogebra.file
.ggs application/vnd.geogebra.slides
.ggt application/vnd.geogebra.tool
.gex application/vnd.geometry-explorer
.gxt application/vnd.geonext
.g2w application/vnd.geoplan
.g3w application/vnd.geospace
.gmx application/vnd.gmx
.kml application/vnd.google-earth.kml+xml
.kmz application/vnd.google-earth.kmz
.xdcf application/vnd.gov.sk.xmldatacontainer+xml
.gqf application/vnd.grafeq
.gac application/vnd.groove-account
.ghf application/vnd.groove-help
.gim application/vnd.groove-identity-message
.grv application/vnd.groove-injector
.gtm application/vnd.groove-tool-message
.tpl application/vnd.groove-tool-template
.vcg application/vnd.groove-vcard
.hal application/vnd.hal+xml
.zmm application/vnd.handheld-entertainment+xml
.hbci application/vnd.hbci
.les application/vnd.hhe.lesson-player
.hpgl application/vnd.hp-hpgl
.hpid application/vnd.hp-hpid
.hps application/vnd.hp-hps
.jlt application/vnd.hp-jlyt
.pcl application/vnd.hp-pcl
.pclxl application/vnd.hp-pclxl
.sfd-hdstx application/vnd.hydrostatix.sof-data
.mpy application/vnd.ibm.minipay
.irm application/vnd.ibm.rights-management
.sc application/vnd.ibm.secure-container
.icc application/vnd.iccprofile
.igl application/vnd.igloader
.ivp application/vnd.immervision-ivp
.ivu application/vnd.immervision-ivu
.igm application/vnd.insors.igm
.xpw application/vnd.intercon.formnet
.i2g application/vnd.intergeo
.qbo application/vnd.intu.qbo
.qfx application/vnd.intu.qfx
.rcprofile application/vnd.ipunplugged.rcprofile
.irp application/vnd.irepository.package+xml
.xpr application/vnd.is-xpr
.fcs application/vnd.isac.fcs
.jam application/vnd.jam
.rms application/vnd.jcp.javame.midlet-rms
.jisp application/vnd.jisp
.joda application/vnd.joost.joda-archive
.ktz application/vnd.kahootz
.karbon application/vnd.kde.karbon
.chrt application/vnd.kde.kchart
.kfo application/vnd.kde.kformula
.flw application/vnd.kde.kivio
.kon application/vnd.kde.kontour
.kpr application/vnd.kde.kpresenter
.ksp application/vnd.kde.kspread
.kwd application/vnd.kde.kword
.htke application/vnd.kenameaapp
.kia application/vnd.kidspiration
.kne application/vnd.kinar
.skp application/vnd.koan
.sse application/vnd.kodak-descriptor
.lasxml application/vnd.las.las+xml
.lbd application/vnd.llamagraphics.life-balance.desktop
.lbe application/vnd.llamagraphics.life-balance.exchange+xml
.123 application/vnd.lotus-1-2-3
.apr application/vnd.lotus-approach
.pre application/vnd.lotus-freelance
.nsf application/vnd.lotus-notes
.org application/vnd.lotus-organizer
.scm application/vnd.lotus-screencam
.lwp application/vnd.lotus-wordpro
.portpkg application/vnd.macports.portpkg
.mvt application/vnd.mapbox-vector-tile
.mcd application/vnd.mcd
.mc1 application/vnd.medcalcdata
.cdkey application/vnd.mediastation.cdkey
.mwf application/vnd.mfer
.mfm application/vnd.mfmp
.flo application/vnd.micrografx.flo
.igx application/vnd.micrografx.igx
.mif application/vnd.mif
.daf application/vnd.mobius.daf
.dis application/vnd.mobius.dis
.mbk application/vnd.mobius.mbk
.mqy application/vnd.mobius.mqy
.msl application/vnd.mobius.msl
.plc application/vnd.mobius.plc
.txf application/vnd.mobius.txf
.mpn application/vnd.mophun.application
.mpc application/vnd.mophun.certificate
.xul application/vnd.mozilla.xul+xml
.cil application/vnd.ms-artgalry
.cab application/vnd.ms-cab-compressed
.xls application/vnd.ms-excel
.xlam application/vnd.ms-excel.addin.macroenabled.12
.xlsb application/vnd.ms-excel.sheet.binary.macroenabled.12
.xlsm application/vnd.ms-excel.sheet.macroenabled.12
.xltm application/vnd.ms-excel.template.macroenabled.12
.eot application/vnd.ms-fontobject
.chm application/vnd.ms-htmlhelp
.ims application/vnd.ms-ims
.lrm application/vnd.ms-lrm
.thmx application/vnd.ms-officetheme
.ppt application/vnd.ms-powerpoint
.ppam application/vnd.ms-powerpoint.addin.macroenabled.12
.pptm application/vnd.ms-powerpoint.presentation.macroenabled.12
.sldm application/vnd.ms-powerpoint.slide.macroenabled.12
.ppsm application/vnd.ms-powerpoint.slideshow.macroenabled.12
.potm application/vnd.ms-powerpoint.template.macroenabled.12
.mpp application/vnd.ms-project
.docm application/vnd.ms-word.document.macroenabled.12
.dotm application/vnd.ms-word.template.macroenabled.12
.wps application/vnd.ms-works
.wpl application/vnd.ms-wpl
.xps application/vnd.ms-xpsdocument
.mseq application/vnd.mseq
.mus application/vnd.musician
.msty application/vnd.muvee.style
.taglet application/vnd.mynfc
.bdo application/vnd.nato.bindingdataobject+xml
.nlu application/vnd.neurolanguage.nlu
.ntf application/vnd.nitf
.nnd application/vnd.noblenet-directory
.nns application/vnd.noblenet-sealer
.nnw application/vnd.noblenet-web
.ac application/vnd.nokia.n-gage.ac+xml
.ngdat application/vnd.nokia.n-gage.data
.rpst application/vnd.nokia.radio-preset
.rpss application/vnd.nokia.radio-presets
.edm application/vnd.novadigm.edm
.edx application/vnd.novadigm.edx
.ext application/vnd.novadigm.ext
.odc application/vnd.oasis.opendocument.chart
.otc application/vnd.oasis.opendocument.chart-template
.odf application/vnd.oasis.opendocument.formula
.odft application/vnd.oasis.opendocument.formula-template
.odg application/vnd.oasis.opendocument.graphics
.otg application/vnd.oasis.opendocument.graphics-template
.odi application/vnd.oasis.opendocument.image
.oti application/vnd.oasis.opendocument.image-template
.odp application/vnd.oasis.opendocument.presentation
.otp application/vnd.oasis.opendocument.presentation-template
.ods application/vnd.oasis.opendocument.spreadsheet
.ots application/vnd.oasis.opendocument.spreadsheet-template
.odt application/vnd.oasis.opendocument.text
.odm application/vnd.oasis.opendocument.text-master
.ott application/vnd.oasis.opendocument.text-template
.oth application/vnd.oasis.opendocument.text-web
.xo application/vnd.olpc-sugar
.dd2 application/vnd.oma.dd2+xml
.obgx application/vnd.openblox.game+xml
.osm application/vnd.openstreetmap.data+xml
.pptx application/vnd.openxmlformats-officedocument.presentationml.presentation
.sldx application/vnd.openxmlformats-officedocument.presentationml.slide
.ppsx application/vnd.openxmlformats-officedocument.presentationml.slideshow
.potx application/vnd.openxmlformats-officedocument.presentationml.template
.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
.xltx application/vnd.openxmlformats-officedocument.spreadsheetml.template
.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document
.dotx application/vnd.openxmlformats-officedocument.wordprocessingml.template
.mgp application/vnd.osgeo.mapguide.package
.dp application/vnd.osgi.dp
.esa application/vnd.osgi.subsystem
.pdb application/vnd.palm
.paw application/vnd.pawaafile
.str application/vnd.pg.format
.ei6 application/vnd.pg.osasli
.efif application/vnd.picsel
.wg application/vnd.pmi.widget
.plf application/vnd.pocketlearn
.pbd application/vnd.powerbuilder6
.systemverify application/vnd.pp.systemverify+xml
.box application/vnd.previewsystems.box
.mgz application/vnd.proteus.magazine
.qps application/vnd.publishare-delta-tree
.ptid application/vnd.pvi.ptid1
.xhtm application/vnd.pwg-xhtml-print+xml
.qxd application/vnd.quark.quarkxpress
.rar application/vnd.rar
.bed application/vnd.realvnc.bed
.mxl application/vnd.recordare.musicxml
.musicxml application/vnd.recordare.musicxml+xml
.cryptonote application/vnd.rig.cryptonote
.link66 application/vnd.route66.link66+xml
.st application/vnd.sailingtracker.track
.see application/vnd.seemail
.sema application/vnd.sema
.semd application/vnd.semd
.semf application/vnd.semf
.ifm application/vnd.shana.informed.formdata
.itp application/vnd.shana.informed.formtemplate
.iif application/vnd.shana.informed.interchange
.ipk application/vnd.shana.informed.package
.twd application/vnd.simtech-mindmapper
.mmf application/vnd.smaf
.teacher application/vnd.smart.teacher
.fo application/vnd.software602.filler.form+xml
.sdkm application/vnd.solent.sdkm+xml
.dxp application/vnd.spotfire.dxp
.sfs application/vnd.spotfire.sfs
.sqlite application/vnd.sqlite3
.smzip application/vnd.stepmania.package
.sm application/vnd.stepmania.stepchart
.wadl application/vnd.sun.wadl+xml
.sus application/vnd.sus-calendar
.svd application/vnd.svd
.xsm application/vnd.syncml+xml
.bdm application/vnd.syncml.dm+wbxml
.xdm application/vnd.syncml.dm+xml
.ddf application/vnd.syncml.dmddf+xml
.tao application/vnd.tao.intent-module-archive
.pcap application/vnd.tcpdump.pcap
.tmo application/vnd.tmobile-livetv
.tpt application/vnd.trid.tpt
.mxs application/vnd.triscape.mxs
.tra application/vnd.trueapp
.ufd application/vnd.ufdl
.utz application/vnd.uiq.theme
.umj application/vnd.umajin
.unityweb application/vnd.unity
.uoml application/vnd.uoml+xml
.vcx application/vnd.vcx
.vsd application/vnd.visio
.vis application/vnd.visionary
.vsf application/vnd.vsf
.wbxml application/vnd.wap.wbxml
.wmlc application/vnd.wap.wmlc
.wmlsc application/vnd.wap.wmlscriptc
.wtb application/vnd.webturbo
.nbp application/vnd.wolfram.player
.wpd application/vnd.wordperfect
.wqd application/vnd.wqd
.stf application/vnd.wt.stf
.xar application/vnd.xara
.xfdl application/vnd.xfdl
.hvd application/vnd.yamaha.hv-dic
.hvs application/vnd.yamaha.hv-script
.hvp application/vnd.yamaha.hv-voice
.osf application/vnd.yamaha.openscoreformat
.osfpvg application/vnd.yamaha.openscoreformat.osfpvg+xml
.saf application/vnd.yamaha.smaf-audio
.spf application/vnd.yamaha.smaf-phrase
.cmp application/vnd.yellowriver-custom-menu
.zir application/vnd.zul
.zaz application/vnd.zzazz.deck+xml
.vxml application/voicexml+xml
.wasm application/wasm
.wif application/watcherinfo+xml
.wgt application/widget
.wsdl application/wsdl+xml
.wspolicy application/wspolicy+xml
.der application/x-x509-ca-cert
.xav application/xcap-att+xml
.xca application/xcap-caps+xml
.xdf application/xcap-diff+xml
.xel application/xcap-el+xml
.xns application/xcap-ns+xml
.xenc application/xenc+xml
.xfdf application/xfdf
.xhtml application/xhtml+xml
.xlf application/xliff+xml
.xml application/xml
.dtd application/xml-dtd
.xop application/xop+xml
.xsl application/xslt+xml
.mxml application/xv+xml
.yang application/yang
.yin application/yin+xml
.zip application/zip
.3gpp audio/3gpp
.adts audio/aac
.amr audio/amr
.au audio/basic
.mka audio/matroska
.mxmf audio/mobile-xmf
.m4a audio/mp4
.mp3 audio/mpeg
.ogg audio/ogg
.uva audio/vnd.dece.audio
.eol audio/vnd.digital-winds
.dra audio/vnd.dra
.dts audio/vnd.dts
.dtshd audio/vnd.dts.hd
.lvp audio/vnd.lucent.voice
.pya audio/vnd.ms-playready.media.pya
.ecelp4800 audio/vnd.nuera.ecelp4800
.ecelp7470 audio/vnd.nuera.ecelp7470
.ecelp9600 audio/vnd.nuera.ecelp9600
.rip audio/vnd.rip
.ttc font/collection
.otf font/otf
.ttf font/ttf
.woff font/woff
.woff2 font/woff2
.exr image/aces
.apng image/apng
.avci image/avci
.avcs image/avcs
.avif image/avif
.bmp image/bmp
.cgm image/cgm
.drle image/dicom-rle
.dpx image/dpx
.emf image/emf
.fits image/fits
.g3 image/g3fax
.gif image/gif
.heic image/heic
.heics image/heic-sequence
.heif image/heif
.heifs image/heif-sequence
.hej2 image/hej2k
.ief image/ief
.jaii image/jaii
.jais image/jais
.jls image/jls
.jp2 image/jp2
.jpg image/jpeg
.jph image/jph
.jhc image/jphc
.jpm image/jpm
.jpx image/jpx
.jxl image/jxl
.jxr image/jxr
.jxra image/jxra
.jxrs image/jxrs
.jxs image/jxs
.jxsc image/jxsc
.jxsi image/jxsi
.jxss image/jxss
.ktx image/ktx
.ktx2 image/ktx2
.png image/png
.btif image/prs.btif
.pti image/prs.pti
.svg image/svg+xml
.t38 image/t38
.tif image/tiff
.tfx image/tiff-fx
.psd image/vnd.adobe.photoshop
.azv image/vnd.airzip.accelerator.azv
.facti image/vnd.blockfact.facti
.uvi image/vnd.dece.graphic
.djvu image/vnd.djvu
.sub image/vnd.dvb.subtitle
.dwg image/vnd.dwg
.dxf image/vnd.dxf
.fbs image/vnd.fastbidsheet
.fpx image/vnd.fpx
.fst image/vnd.fst
.mmr image/vnd.fujixerox.edmics-mmr
.rlc image/vnd.fujixerox.edmics-rlc
.ico image/vnd.microsoft.icon
.mdi image/vnd.ms-modi
.npx image/vnd.net-fpx
.b16 image/vnd.pco.b16
.tap image/vnd.tencent.tap
.vtf image/vnd.valve.source.texture
.wbmp image/vnd.wap.wbmp
.xif image/vnd.xiff
.pcx image/vnd.zbrush.pcx
.webp image/webp
.wmf image/wmf
.disposition-notification message/disposition-notification
.u8msg message/global
.u8dsn message/global-delivery-status
.u8mdn message/global-disposition-notification
.u8hdr message/global-headers
.eml message/rfc822
.wsc message/vnd.wfa.wsc
.3mf model/3mf
.gltf model/gltf+json
.glb model/gltf-binary
.igs model/iges
.jt model/jt
.msh model/mesh
.mtl model/mtl
.obj model/obj
.prc model/prc
.step model/step
.stpx model/step+xml
.stpz model/step+zip
.stpxz model/step-xml+zip
.stl model/stl
.u3d model/u3d
.bary model/vnd.bary
.cld model/vnd.cld
.dae model/vnd.collada+xml
.dwf model/vnd.dwf
.gdl model/vnd.gdl
.gtw model/vnd.gtw
.mts model/vnd.mts
.ogex model/vnd.opengex
.x_b model/vnd.parasolid.transmit.binary
.x_t model/vnd.parasolid.transmit.text
.pyo model/vnd.pytha.pyox
.vds model/vnd.sap.vds
.usda model/vnd.usda
.usdz model/vnd.usdz+zip
.bsp model/vnd.valve.source.compiled-map
.vtu model/vnd.vtu
.wrl model/vrml
.x3db model/x3d+fastinfoset
.x3d model/x3d+xml
.x3dv model/x3d-vrml
.appcache text/cache-manifest
.ics text/calendar
.css text/css
.csv text/csv
.html text/html
.js text/javascript
.md text/markdown
.n3 text/n3
.txt text/plain
.dsc text/prs.lines.tag
.rtx text/richtext
.rtf text/rtf
.sgml text/sgml
.shex text/shex
.spdx text/spdx
.tsv text/tab-separated-values
.t text/troff
.ttl text/turtle
.uri text/uri-list
.vcard text/vcard
.curl text/vnd.curl
.sub text/vnd.dvb.subtitle
.ged text/vnd.familysearch.gedcom
.fly text/vnd.fly
.flx text/vnd.fmi.flexstor
.gv text/vnd.graphviz
.3dml text/vnd.in3d.3dml
.spot text/vnd.in3d.spot
.jad text/vnd.sun.j2me.app-descriptor
.wml text/vnd.wap.wml
.wmls text/vnd.wap.wmlscript
.vtt text/vtt
.wgsl text/wgsl
.xml text/xml
.3gp video/3gpp
.3g2 video/3gpp2
.h261 video/h261
.h263 video/h263
.h264 video/h264
.m4s video/iso.segment
.jpgv video/jpeg
.mkv video/matroska
.mk3d video/matroska-3d
.mj2 video/mj2
.ts video/mp2t
.mp4 video/mp4
.mpeg video/mpeg
.ogv video/ogg
.mov video/quicktime
.uvh video/vnd.dece.hd
.uvm video/vnd.dece.mobile
.uvp video/vnd.dece.pd
.uvs video/vnd.dece.sd
.uvv video/vnd.dece.video
.dvb video/vnd.dvb.file
.fvt video/vnd.fvt
.mxu video/vnd.mpegurl
.pyv video/vnd.ms-playready.media.pyv
.uvu video/vnd.uvvu.mp4
.viv video/vnd.vivo
1 ext type
2 .ez application/andrew-inset
3 .atom application/atom+xml
4 .atomcat application/atomcat+xml
5 .atomdeleted application/atomdeleted+xml
6 .atomsvc application/atomsvc+xml
7 .dwd application/atsc-dwd+xml
8 .held application/atsc-held+xml
9 .rsat application/atsc-rsat+xml
10 .aml application/automationml-aml+xml
11 .amlx application/automationml-amlx+zip
12 .xcs application/calendar+xml
13 .ccxml application/ccxml+xml
14 .cdfx application/cdfx+xml
15 .cdmia application/cdmi-capability
16 .cdmic application/cdmi-container
17 .cdmid application/cdmi-domain
18 .cdmio application/cdmi-object
19 .cdmiq application/cdmi-queue
20 .cpl application/cpl+xml
21 .cwl application/cwl
22 .mpd application/dash+xml
23 .mpp application/dash-patch+xml
24 .davmount application/davmount+xml
25 .dcm application/dicom
26 .dssc application/dssc+der
27 .xdssc application/dssc+xml
28 .emma application/emma+xml
29 .emotionml application/emotionml+xml
30 .epub application/epub+zip
31 .exi application/exi
32 .exp application/express
33 .fdf application/fdf
34 .fdt application/fdt+xml
35 .pfr application/font-tdpfr
36 .geojson application/geo+json
37 .gml application/gml+xml
38 .gz application/gzip
39 .stk application/hyperstudio
40 .ink application/inkml+xml
41 .ipfix application/ipfix
42 .its application/its+xml
43 .jar application/java-archive
44 .json application/json
45 .kbl application/kbl+xml
46 .jsonld application/ld+json
47 .lgr application/lgr+xml
48 .lostxml application/lost+xml
49 .hqx application/mac-binhex40
50 .mads application/mads+xml
51 .webmanifest application/manifest+json
52 .mrc application/marc
53 .mrcx application/marcxml+xml
54 .ma application/mathematica
55 .mathml application/mathml+xml
56 .mbox application/mbox
57 .mpf application/media-policy-dataset+xml
58 .mscml application/mediaservercontrol+xml
59 .meta4 application/metalink4+xml
60 .mets application/mets+xml
61 .maei application/mmt-aei+xml
62 .musd application/mmt-usd+xml
63 .mods application/mods+xml
64 .m21 application/mp21
65 .mp4s application/mp4
66 .doc application/msword
67 .mxf application/mxf
68 .nq application/n-quads
69 .nt application/n-triples
70 .cjs application/node
71 .bin application/octet-stream
72 .oda application/oda
73 .opf application/oebps-package+xml
74 .ogx application/ogg
75 .oxps application/oxps
76 .relo application/p2p-overlay+xml
77 .xer application/patch-ops-error+xml
78 .pdf application/pdf
79 .pgp application/pgp-encrypted
80 .asc application/pgp-keys
81 .sig application/pgp-signature
82 .p10 application/pkcs10
83 .p7m application/pkcs7-mime
84 .p7s application/pkcs7-signature
85 .p8 application/pkcs8
86 .ac application/pkix-attr-cert
87 .cer application/pkix-cert
88 .crl application/pkix-crl
89 .pkipath application/pkix-pkipath
90 .pki application/pkixcmp
91 .pls application/pls+xml
92 .ai application/postscript
93 .provx application/provenance+xml
94 .cww application/prs.cww
95 .xsf application/prs.xsf+xml
96 .pskcxml application/pskc+xml
97 .rdf application/rdf+xml
98 .rif application/reginfo+xml
99 .rnc application/relax-ng-compact-syntax
100 .rl application/resource-lists+xml
101 .rld application/resource-lists-diff+xml
102 .rs application/rls-services+xml
103 .rapd application/route-apd+xml
104 .sls application/route-s-tsid+xml
105 .rusd application/route-usd+xml
106 .gbr application/rpki-ghostbusters
107 .mft application/rpki-manifest
108 .roa application/rpki-roa
109 .rtf application/rtf
110 .sbml application/sbml+xml
111 .scq application/scvp-cv-request
112 .scs application/scvp-cv-response
113 .spq application/scvp-vp-request
114 .spp application/scvp-vp-response
115 .sdp application/sdp
116 .senmlx application/senml+xml
117 .sensmlx application/sensml+xml
118 .setpay application/set-payment-initiation
119 .setreg application/set-registration-initiation
120 .shf application/shf+xml
121 .siv application/sieve
122 .smi application/smil+xml
123 .rq application/sparql-query
124 .srx application/sparql-results+xml
125 .sql application/sql
126 .gram application/srgs
127 .grxml application/srgs+xml
128 .sru application/sru+xml
129 .ssml application/ssml+xml
130 .swidtag application/swid+xml
131 .tei application/tei+xml
132 .tfi application/thraud+xml
133 .tsd application/timestamped-data
134 .toml application/toml
135 .trig application/trig
136 .ttml application/ttml+xml
137 .rsheet application/urc-ressheet+xml
138 .td application/urc-targetdesc+xml
139 .vec application/vec+xml
140 .1km application/vnd.1000minds.decision-model+xml
141 .plb application/vnd.3gpp.pic-bw-large
142 .psb application/vnd.3gpp.pic-bw-small
143 .pvb application/vnd.3gpp.pic-bw-var
144 .tcap application/vnd.3gpp2.tcap
145 .pwn application/vnd.3m.post-it-notes
146 .aso application/vnd.accpac.simply.aso
147 .imp application/vnd.accpac.simply.imp
148 .acu application/vnd.acucobol
149 .atc application/vnd.acucorp
150 .fcdt application/vnd.adobe.formscentral.fcdt
151 .fxp application/vnd.adobe.fxp
152 .xdp application/vnd.adobe.xdp+xml
153 .age application/vnd.age
154 .ahead application/vnd.ahead.space
155 .azf application/vnd.airzip.filesecure.azf
156 .azs application/vnd.airzip.filesecure.azs
157 .acc application/vnd.americandynamics.acc
158 .ami application/vnd.amiga.ami
159 .cii application/vnd.anser-web-certificate-issue-initiation
160 .atx application/vnd.antix.game-component
161 .parquet application/vnd.apache.parquet
162 .mpkg application/vnd.apple.installer+xml
163 .key application/vnd.apple.keynote
164 .m3u8 application/vnd.apple.mpegurl
165 .numbers application/vnd.apple.numbers
166 .pages application/vnd.apple.pages
167 .swi application/vnd.aristanetworks.swi
168 .iota application/vnd.astraea-software.iota
169 .aep application/vnd.audiograph
170 .bmml application/vnd.balsamiq.bmml+xml
171 .mpm application/vnd.blueice.multipass
172 .bmi application/vnd.bmi
173 .rep application/vnd.businessobjects
174 .cdxml application/vnd.chemdraw+xml
175 .mmd application/vnd.chipnuts.karaoke-mmd
176 .cdy application/vnd.cinderella
177 .csl application/vnd.citationstyles.style+xml
178 .cla application/vnd.claymore
179 .rp9 application/vnd.cloanto.rp9
180 .c4g application/vnd.clonk.c4group
181 .c11amc application/vnd.cluetrust.cartomobile-config
182 .c11amz application/vnd.cluetrust.cartomobile-config-pkg
183 .csp application/vnd.commonspace
184 .cdbcmsg application/vnd.contact.cmsg
185 .cmc application/vnd.cosmocaller
186 .clkx application/vnd.crick.clicker
187 .clkk application/vnd.crick.clicker.keyboard
188 .clkp application/vnd.crick.clicker.palette
189 .clkt application/vnd.crick.clicker.template
190 .clkw application/vnd.crick.clicker.wordbank
191 .wbs application/vnd.criticaltools.wbs+xml
192 .pml application/vnd.ctc-posml
193 .ppd application/vnd.cups-ppd
194 .dart application/vnd.dart
195 .rdz application/vnd.data-vision.rdz
196 .dbf application/vnd.dbf
197 .dcmp application/vnd.dcmp+xml
198 .uvf application/vnd.dece.data
199 .uvt application/vnd.dece.ttml+xml
200 .uvx application/vnd.dece.unspecified
201 .uvz application/vnd.dece.zip
202 .fe_launch application/vnd.denovo.fcselayout-link
203 .dna application/vnd.dna
204 .dpg application/vnd.dpgraph
205 .dfac application/vnd.dreamfactory
206 .ait application/vnd.dvb.ait
207 .svc application/vnd.dvb.service
208 .geo application/vnd.dynageo
209 .mag application/vnd.ecowin.chart
210 .nml application/vnd.enliven
211 .esf application/vnd.epson.esf
212 .msf application/vnd.epson.msf
213 .qam application/vnd.epson.quickanime
214 .slt application/vnd.epson.salt
215 .ssf application/vnd.epson.ssf
216 .es3 application/vnd.eszigno3+xml
217 .ez2 application/vnd.ezpix-album
218 .ez3 application/vnd.ezpix-package
219 .mseed application/vnd.fdsn.mseed
220 .seed application/vnd.fdsn.seed
221 .gph application/vnd.flographit
222 .ftc application/vnd.fluxtime.clip
223 .fm application/vnd.framemaker
224 .fsc application/vnd.fsc.weblaunch
225 .oas application/vnd.fujitsu.oasys
226 .oa2 application/vnd.fujitsu.oasys2
227 .oa3 application/vnd.fujitsu.oasys3
228 .fg5 application/vnd.fujitsu.oasysgp
229 .bh2 application/vnd.fujitsu.oasysprs
230 .ddd application/vnd.fujixerox.ddd
231 .xdw application/vnd.fujixerox.docuworks
232 .xbd application/vnd.fujixerox.docuworks.binder
233 .fzs application/vnd.fuzzysheet
234 .txd application/vnd.genomatix.tuxedo
235 .ggb application/vnd.geogebra.file
236 .ggs application/vnd.geogebra.slides
237 .ggt application/vnd.geogebra.tool
238 .gex application/vnd.geometry-explorer
239 .gxt application/vnd.geonext
240 .g2w application/vnd.geoplan
241 .g3w application/vnd.geospace
242 .gmx application/vnd.gmx
243 .kml application/vnd.google-earth.kml+xml
244 .kmz application/vnd.google-earth.kmz
245 .xdcf application/vnd.gov.sk.xmldatacontainer+xml
246 .gqf application/vnd.grafeq
247 .gac application/vnd.groove-account
248 .ghf application/vnd.groove-help
249 .gim application/vnd.groove-identity-message
250 .grv application/vnd.groove-injector
251 .gtm application/vnd.groove-tool-message
252 .tpl application/vnd.groove-tool-template
253 .vcg application/vnd.groove-vcard
254 .hal application/vnd.hal+xml
255 .zmm application/vnd.handheld-entertainment+xml
256 .hbci application/vnd.hbci
257 .les application/vnd.hhe.lesson-player
258 .hpgl application/vnd.hp-hpgl
259 .hpid application/vnd.hp-hpid
260 .hps application/vnd.hp-hps
261 .jlt application/vnd.hp-jlyt
262 .pcl application/vnd.hp-pcl
263 .pclxl application/vnd.hp-pclxl
264 .sfd-hdstx application/vnd.hydrostatix.sof-data
265 .mpy application/vnd.ibm.minipay
266 .irm application/vnd.ibm.rights-management
267 .sc application/vnd.ibm.secure-container
268 .icc application/vnd.iccprofile
269 .igl application/vnd.igloader
270 .ivp application/vnd.immervision-ivp
271 .ivu application/vnd.immervision-ivu
272 .igm application/vnd.insors.igm
273 .xpw application/vnd.intercon.formnet
274 .i2g application/vnd.intergeo
275 .qbo application/vnd.intu.qbo
276 .qfx application/vnd.intu.qfx
277 .rcprofile application/vnd.ipunplugged.rcprofile
278 .irp application/vnd.irepository.package+xml
279 .xpr application/vnd.is-xpr
280 .fcs application/vnd.isac.fcs
281 .jam application/vnd.jam
282 .rms application/vnd.jcp.javame.midlet-rms
283 .jisp application/vnd.jisp
284 .joda application/vnd.joost.joda-archive
285 .ktz application/vnd.kahootz
286 .karbon application/vnd.kde.karbon
287 .chrt application/vnd.kde.kchart
288 .kfo application/vnd.kde.kformula
289 .flw application/vnd.kde.kivio
290 .kon application/vnd.kde.kontour
291 .kpr application/vnd.kde.kpresenter
292 .ksp application/vnd.kde.kspread
293 .kwd application/vnd.kde.kword
294 .htke application/vnd.kenameaapp
295 .kia application/vnd.kidspiration
296 .kne application/vnd.kinar
297 .skp application/vnd.koan
298 .sse application/vnd.kodak-descriptor
299 .lasxml application/vnd.las.las+xml
300 .lbd application/vnd.llamagraphics.life-balance.desktop
301 .lbe application/vnd.llamagraphics.life-balance.exchange+xml
302 .123 application/vnd.lotus-1-2-3
303 .apr application/vnd.lotus-approach
304 .pre application/vnd.lotus-freelance
305 .nsf application/vnd.lotus-notes
306 .org application/vnd.lotus-organizer
307 .scm application/vnd.lotus-screencam
308 .lwp application/vnd.lotus-wordpro
309 .portpkg application/vnd.macports.portpkg
310 .mvt application/vnd.mapbox-vector-tile
311 .mcd application/vnd.mcd
312 .mc1 application/vnd.medcalcdata
313 .cdkey application/vnd.mediastation.cdkey
314 .mwf application/vnd.mfer
315 .mfm application/vnd.mfmp
316 .flo application/vnd.micrografx.flo
317 .igx application/vnd.micrografx.igx
318 .mif application/vnd.mif
319 .daf application/vnd.mobius.daf
320 .dis application/vnd.mobius.dis
321 .mbk application/vnd.mobius.mbk
322 .mqy application/vnd.mobius.mqy
323 .msl application/vnd.mobius.msl
324 .plc application/vnd.mobius.plc
325 .txf application/vnd.mobius.txf
326 .mpn application/vnd.mophun.application
327 .mpc application/vnd.mophun.certificate
328 .xul application/vnd.mozilla.xul+xml
329 .cil application/vnd.ms-artgalry
330 .cab application/vnd.ms-cab-compressed
331 .xls application/vnd.ms-excel
332 .xlam application/vnd.ms-excel.addin.macroenabled.12
333 .xlsb application/vnd.ms-excel.sheet.binary.macroenabled.12
334 .xlsm application/vnd.ms-excel.sheet.macroenabled.12
335 .xltm application/vnd.ms-excel.template.macroenabled.12
336 .eot application/vnd.ms-fontobject
337 .chm application/vnd.ms-htmlhelp
338 .ims application/vnd.ms-ims
339 .lrm application/vnd.ms-lrm
340 .thmx application/vnd.ms-officetheme
341 .ppt application/vnd.ms-powerpoint
342 .ppam application/vnd.ms-powerpoint.addin.macroenabled.12
343 .pptm application/vnd.ms-powerpoint.presentation.macroenabled.12
344 .sldm application/vnd.ms-powerpoint.slide.macroenabled.12
345 .ppsm application/vnd.ms-powerpoint.slideshow.macroenabled.12
346 .potm application/vnd.ms-powerpoint.template.macroenabled.12
347 .mpp application/vnd.ms-project
348 .docm application/vnd.ms-word.document.macroenabled.12
349 .dotm application/vnd.ms-word.template.macroenabled.12
350 .wps application/vnd.ms-works
351 .wpl application/vnd.ms-wpl
352 .xps application/vnd.ms-xpsdocument
353 .mseq application/vnd.mseq
354 .mus application/vnd.musician
355 .msty application/vnd.muvee.style
356 .taglet application/vnd.mynfc
357 .bdo application/vnd.nato.bindingdataobject+xml
358 .nlu application/vnd.neurolanguage.nlu
359 .ntf application/vnd.nitf
360 .nnd application/vnd.noblenet-directory
361 .nns application/vnd.noblenet-sealer
362 .nnw application/vnd.noblenet-web
363 .ac application/vnd.nokia.n-gage.ac+xml
364 .ngdat application/vnd.nokia.n-gage.data
365 .rpst application/vnd.nokia.radio-preset
366 .rpss application/vnd.nokia.radio-presets
367 .edm application/vnd.novadigm.edm
368 .edx application/vnd.novadigm.edx
369 .ext application/vnd.novadigm.ext
370 .odc application/vnd.oasis.opendocument.chart
371 .otc application/vnd.oasis.opendocument.chart-template
372 .odf application/vnd.oasis.opendocument.formula
373 .odft application/vnd.oasis.opendocument.formula-template
374 .odg application/vnd.oasis.opendocument.graphics
375 .otg application/vnd.oasis.opendocument.graphics-template
376 .odi application/vnd.oasis.opendocument.image
377 .oti application/vnd.oasis.opendocument.image-template
378 .odp application/vnd.oasis.opendocument.presentation
379 .otp application/vnd.oasis.opendocument.presentation-template
380 .ods application/vnd.oasis.opendocument.spreadsheet
381 .ots application/vnd.oasis.opendocument.spreadsheet-template
382 .odt application/vnd.oasis.opendocument.text
383 .odm application/vnd.oasis.opendocument.text-master
384 .ott application/vnd.oasis.opendocument.text-template
385 .oth application/vnd.oasis.opendocument.text-web
386 .xo application/vnd.olpc-sugar
387 .dd2 application/vnd.oma.dd2+xml
388 .obgx application/vnd.openblox.game+xml
389 .osm application/vnd.openstreetmap.data+xml
390 .pptx application/vnd.openxmlformats-officedocument.presentationml.presentation
391 .sldx application/vnd.openxmlformats-officedocument.presentationml.slide
392 .ppsx application/vnd.openxmlformats-officedocument.presentationml.slideshow
393 .potx application/vnd.openxmlformats-officedocument.presentationml.template
394 .xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
395 .xltx application/vnd.openxmlformats-officedocument.spreadsheetml.template
396 .docx application/vnd.openxmlformats-officedocument.wordprocessingml.document
397 .dotx application/vnd.openxmlformats-officedocument.wordprocessingml.template
398 .mgp application/vnd.osgeo.mapguide.package
399 .dp application/vnd.osgi.dp
400 .esa application/vnd.osgi.subsystem
401 .pdb application/vnd.palm
402 .paw application/vnd.pawaafile
403 .str application/vnd.pg.format
404 .ei6 application/vnd.pg.osasli
405 .efif application/vnd.picsel
406 .wg application/vnd.pmi.widget
407 .plf application/vnd.pocketlearn
408 .pbd application/vnd.powerbuilder6
409 .systemverify application/vnd.pp.systemverify+xml
410 .box application/vnd.previewsystems.box
411 .mgz application/vnd.proteus.magazine
412 .qps application/vnd.publishare-delta-tree
413 .ptid application/vnd.pvi.ptid1
414 .xhtm application/vnd.pwg-xhtml-print+xml
415 .qxd application/vnd.quark.quarkxpress
416 .rar application/vnd.rar
417 .bed application/vnd.realvnc.bed
418 .mxl application/vnd.recordare.musicxml
419 .musicxml application/vnd.recordare.musicxml+xml
420 .cryptonote application/vnd.rig.cryptonote
421 .link66 application/vnd.route66.link66+xml
422 .st application/vnd.sailingtracker.track
423 .see application/vnd.seemail
424 .sema application/vnd.sema
425 .semd application/vnd.semd
426 .semf application/vnd.semf
427 .ifm application/vnd.shana.informed.formdata
428 .itp application/vnd.shana.informed.formtemplate
429 .iif application/vnd.shana.informed.interchange
430 .ipk application/vnd.shana.informed.package
431 .twd application/vnd.simtech-mindmapper
432 .mmf application/vnd.smaf
433 .teacher application/vnd.smart.teacher
434 .fo application/vnd.software602.filler.form+xml
435 .sdkm application/vnd.solent.sdkm+xml
436 .dxp application/vnd.spotfire.dxp
437 .sfs application/vnd.spotfire.sfs
438 .sqlite application/vnd.sqlite3
439 .smzip application/vnd.stepmania.package
440 .sm application/vnd.stepmania.stepchart
441 .wadl application/vnd.sun.wadl+xml
442 .sus application/vnd.sus-calendar
443 .svd application/vnd.svd
444 .xsm application/vnd.syncml+xml
445 .bdm application/vnd.syncml.dm+wbxml
446 .xdm application/vnd.syncml.dm+xml
447 .ddf application/vnd.syncml.dmddf+xml
448 .tao application/vnd.tao.intent-module-archive
449 .pcap application/vnd.tcpdump.pcap
450 .tmo application/vnd.tmobile-livetv
451 .tpt application/vnd.trid.tpt
452 .mxs application/vnd.triscape.mxs
453 .tra application/vnd.trueapp
454 .ufd application/vnd.ufdl
455 .utz application/vnd.uiq.theme
456 .umj application/vnd.umajin
457 .unityweb application/vnd.unity
458 .uoml application/vnd.uoml+xml
459 .vcx application/vnd.vcx
460 .vsd application/vnd.visio
461 .vis application/vnd.visionary
462 .vsf application/vnd.vsf
463 .wbxml application/vnd.wap.wbxml
464 .wmlc application/vnd.wap.wmlc
465 .wmlsc application/vnd.wap.wmlscriptc
466 .wtb application/vnd.webturbo
467 .nbp application/vnd.wolfram.player
468 .wpd application/vnd.wordperfect
469 .wqd application/vnd.wqd
470 .stf application/vnd.wt.stf
471 .xar application/vnd.xara
472 .xfdl application/vnd.xfdl
473 .hvd application/vnd.yamaha.hv-dic
474 .hvs application/vnd.yamaha.hv-script
475 .hvp application/vnd.yamaha.hv-voice
476 .osf application/vnd.yamaha.openscoreformat
477 .osfpvg application/vnd.yamaha.openscoreformat.osfpvg+xml
478 .saf application/vnd.yamaha.smaf-audio
479 .spf application/vnd.yamaha.smaf-phrase
480 .cmp application/vnd.yellowriver-custom-menu
481 .zir application/vnd.zul
482 .zaz application/vnd.zzazz.deck+xml
483 .vxml application/voicexml+xml
484 .wasm application/wasm
485 .wif application/watcherinfo+xml
486 .wgt application/widget
487 .wsdl application/wsdl+xml
488 .wspolicy application/wspolicy+xml
489 .der application/x-x509-ca-cert
490 .xav application/xcap-att+xml
491 .xca application/xcap-caps+xml
492 .xdf application/xcap-diff+xml
493 .xel application/xcap-el+xml
494 .xns application/xcap-ns+xml
495 .xenc application/xenc+xml
496 .xfdf application/xfdf
497 .xhtml application/xhtml+xml
498 .xlf application/xliff+xml
499 .xml application/xml
500 .dtd application/xml-dtd
501 .xop application/xop+xml
502 .xsl application/xslt+xml
503 .mxml application/xv+xml
504 .yang application/yang
505 .yin application/yin+xml
506 .zip application/zip
507 .3gpp audio/3gpp
508 .adts audio/aac
509 .amr audio/amr
510 .au audio/basic
511 .mka audio/matroska
512 .mxmf audio/mobile-xmf
513 .m4a audio/mp4
514 .mp3 audio/mpeg
515 .ogg audio/ogg
516 .uva audio/vnd.dece.audio
517 .eol audio/vnd.digital-winds
518 .dra audio/vnd.dra
519 .dts audio/vnd.dts
520 .dtshd audio/vnd.dts.hd
521 .lvp audio/vnd.lucent.voice
522 .pya audio/vnd.ms-playready.media.pya
523 .ecelp4800 audio/vnd.nuera.ecelp4800
524 .ecelp7470 audio/vnd.nuera.ecelp7470
525 .ecelp9600 audio/vnd.nuera.ecelp9600
526 .rip audio/vnd.rip
527 .ttc font/collection
528 .otf font/otf
529 .ttf font/ttf
530 .woff font/woff
531 .woff2 font/woff2
532 .exr image/aces
533 .apng image/apng
534 .avci image/avci
535 .avcs image/avcs
536 .avif image/avif
537 .bmp image/bmp
538 .cgm image/cgm
539 .drle image/dicom-rle
540 .dpx image/dpx
541 .emf image/emf
542 .fits image/fits
543 .g3 image/g3fax
544 .gif image/gif
545 .heic image/heic
546 .heics image/heic-sequence
547 .heif image/heif
548 .heifs image/heif-sequence
549 .hej2 image/hej2k
550 .ief image/ief
551 .jaii image/jaii
552 .jais image/jais
553 .jls image/jls
554 .jp2 image/jp2
555 .jpg image/jpeg
556 .jph image/jph
557 .jhc image/jphc
558 .jpm image/jpm
559 .jpx image/jpx
560 .jxl image/jxl
561 .jxr image/jxr
562 .jxra image/jxra
563 .jxrs image/jxrs
564 .jxs image/jxs
565 .jxsc image/jxsc
566 .jxsi image/jxsi
567 .jxss image/jxss
568 .ktx image/ktx
569 .ktx2 image/ktx2
570 .png image/png
571 .btif image/prs.btif
572 .pti image/prs.pti
573 .svg image/svg+xml
574 .t38 image/t38
575 .tif image/tiff
576 .tfx image/tiff-fx
577 .psd image/vnd.adobe.photoshop
578 .azv image/vnd.airzip.accelerator.azv
579 .facti image/vnd.blockfact.facti
580 .uvi image/vnd.dece.graphic
581 .djvu image/vnd.djvu
582 .sub image/vnd.dvb.subtitle
583 .dwg image/vnd.dwg
584 .dxf image/vnd.dxf
585 .fbs image/vnd.fastbidsheet
586 .fpx image/vnd.fpx
587 .fst image/vnd.fst
588 .mmr image/vnd.fujixerox.edmics-mmr
589 .rlc image/vnd.fujixerox.edmics-rlc
590 .ico image/vnd.microsoft.icon
591 .mdi image/vnd.ms-modi
592 .npx image/vnd.net-fpx
593 .b16 image/vnd.pco.b16
594 .tap image/vnd.tencent.tap
595 .vtf image/vnd.valve.source.texture
596 .wbmp image/vnd.wap.wbmp
597 .xif image/vnd.xiff
598 .pcx image/vnd.zbrush.pcx
599 .webp image/webp
600 .wmf image/wmf
601 .disposition-notification message/disposition-notification
602 .u8msg message/global
603 .u8dsn message/global-delivery-status
604 .u8mdn message/global-disposition-notification
605 .u8hdr message/global-headers
606 .eml message/rfc822
607 .wsc message/vnd.wfa.wsc
608 .3mf model/3mf
609 .gltf model/gltf+json
610 .glb model/gltf-binary
611 .igs model/iges
612 .jt model/jt
613 .msh model/mesh
614 .mtl model/mtl
615 .obj model/obj
616 .prc model/prc
617 .step model/step
618 .stpx model/step+xml
619 .stpz model/step+zip
620 .stpxz model/step-xml+zip
621 .stl model/stl
622 .u3d model/u3d
623 .bary model/vnd.bary
624 .cld model/vnd.cld
625 .dae model/vnd.collada+xml
626 .dwf model/vnd.dwf
627 .gdl model/vnd.gdl
628 .gtw model/vnd.gtw
629 .mts model/vnd.mts
630 .ogex model/vnd.opengex
631 .x_b model/vnd.parasolid.transmit.binary
632 .x_t model/vnd.parasolid.transmit.text
633 .pyo model/vnd.pytha.pyox
634 .vds model/vnd.sap.vds
635 .usda model/vnd.usda
636 .usdz model/vnd.usdz+zip
637 .bsp model/vnd.valve.source.compiled-map
638 .vtu model/vnd.vtu
639 .wrl model/vrml
640 .x3db model/x3d+fastinfoset
641 .x3d model/x3d+xml
642 .x3dv model/x3d-vrml
643 .appcache text/cache-manifest
644 .ics text/calendar
645 .css text/css
646 .csv text/csv
647 .html text/html
648 .js text/javascript
649 .md text/markdown
650 .n3 text/n3
651 .txt text/plain
652 .dsc text/prs.lines.tag
653 .rtx text/richtext
654 .rtf text/rtf
655 .sgml text/sgml
656 .shex text/shex
657 .spdx text/spdx
658 .tsv text/tab-separated-values
659 .t text/troff
660 .ttl text/turtle
661 .uri text/uri-list
662 .vcard text/vcard
663 .curl text/vnd.curl
664 .sub text/vnd.dvb.subtitle
665 .ged text/vnd.familysearch.gedcom
666 .fly text/vnd.fly
667 .flx text/vnd.fmi.flexstor
668 .gv text/vnd.graphviz
669 .3dml text/vnd.in3d.3dml
670 .spot text/vnd.in3d.spot
671 .jad text/vnd.sun.j2me.app-descriptor
672 .wml text/vnd.wap.wml
673 .wmls text/vnd.wap.wmlscript
674 .vtt text/vtt
675 .wgsl text/wgsl
676 .xml text/xml
677 .3gp video/3gpp
678 .3g2 video/3gpp2
679 .h261 video/h261
680 .h263 video/h263
681 .h264 video/h264
682 .m4s video/iso.segment
683 .jpgv video/jpeg
684 .mkv video/matroska
685 .mk3d video/matroska-3d
686 .mj2 video/mj2
687 .ts video/mp2t
688 .mp4 video/mp4
689 .mpeg video/mpeg
690 .ogv video/ogg
691 .mov video/quicktime
692 .uvh video/vnd.dece.hd
693 .uvm video/vnd.dece.mobile
694 .uvp video/vnd.dece.pd
695 .uvs video/vnd.dece.sd
696 .uvv video/vnd.dece.video
697 .dvb video/vnd.dvb.file
698 .fvt video/vnd.fvt
699 .mxu video/vnd.mpegurl
700 .pyv video/vnd.ms-playready.media.pyv
701 .uvu video/vnd.uvvu.mp4
702 .viv video/vnd.vivo
data/misc/port.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{number}", "rows": "port.tsv", "key": "number" }
data/misc/port.tsv
-5890
View File
File diff suppressed because it is too large Load Diff
data/misc/protocol.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{keyword}", "rows": "protocol.tsv", "key": "keyword", "name": "name" }
data/misc/protocol.tsv
-140
View File
@@ -1,140 +0,0 @@
keyword name number
HOPOPT IPv6 Hop-by-Hop Option 0
ICMP Internet Control Message 1
IGMP Internet Group Management 2
GGP Gateway-to-Gateway 3
IPv4 IPv4 encapsulation 4
ST Stream 5
TCP Transmission Control 6
CBT CBT 7
EGP Exterior Gateway Protocol 8
IGP any private interior gateway (used by Cisco for their IGRP) 9
BBN-RCC-MON BBN RCC Monitoring 10
NVP-II Network Voice Protocol 11
PUP PUP 12
EMCON EMCON 14
XNET Cross Net Debugger 15
CHAOS Chaos 16
UDP User Datagram 17
MUX Multiplexing 18
DCN-MEAS DCN Measurement Subsystems 19
HMP Host Monitoring 20
PRM Packet Radio Measurement 21
XNS-IDP XEROX NS IDP 22
TRUNK-1 Trunk-1 23
TRUNK-2 Trunk-2 24
LEAF-1 Leaf-1 25
LEAF-2 Leaf-2 26
RDP Reliable Data Protocol 27
IRTP Internet Reliable Transaction 28
ISO-TP4 ISO Transport Protocol Class 4 29
NETBLT Bulk Data Transfer Protocol 30
MFE-NSP MFE Network Services Protocol 31
MERIT-INP MERIT Internodal Protocol 32
DCCP Datagram Congestion Control Protocol 33
3PC Third Party Connect Protocol 34
IDPR Inter-Domain Policy Routing Protocol 35
XTP XTP 36
DDP Datagram Delivery Protocol 37
IDPR-CMTP IDPR Control Message Transport Proto 38
TP++ TP++ Transport Protocol 39
IL IL Transport Protocol 40
IPv6 IPv6 encapsulation 41
SDRP Source Demand Routing Protocol 42
IPv6-Route Routing Header for IPv6 43
IPv6-Frag Fragment Header for IPv6 44
IDRP Inter-Domain Routing Protocol 45
RSVP Reservation Protocol 46
GRE Generic Routing Encapsulation 47
DSR Dynamic Source Routing Protocol 48
BNA BNA 49
ESP Encap Security Payload 50
AH Authentication Header 51
I-NLSP Integrated Net Layer Security TUBA 52
NARP NBMA Address Resolution Protocol 54
Min-IPv4 Minimal IPv4 Encapsulation 55
TLSP Transport Layer Security Protocol using Kryptonet key management 56
SKIP SKIP 57
IPv6-ICMP ICMP for IPv6 58
IPv6-NoNxt No Next Header for IPv6 59
IPv6-Opts Destination Options for IPv6 60
CFTP CFTP 62
SAT-EXPAK SATNET and Backroom EXPAK 64
KRYPTOLAN Kryptolan 65
RVD MIT Remote Virtual Disk Protocol 66
IPPC Internet Pluribus Packet Core 67
SAT-MON SATNET Monitoring 69
VISA VISA Protocol 70
IPCV Internet Packet Core Utility 71
CPNX Computer Protocol Network Executive 72
CPHB Computer Protocol Heart Beat 73
WSN Wang Span Network 74
PVP Packet Video Protocol 75
BR-SAT-MON Backroom SATNET Monitoring 76
SUN-ND SUN ND PROTOCOL-Temporary 77
WB-MON WIDEBAND Monitoring 78
WB-EXPAK WIDEBAND EXPAK 79
ISO-IP ISO Internet Protocol 80
VMTP VMTP 81
SECURE-VMTP SECURE-VMTP 82
VINES VINES 83
IPTM Internet Protocol Traffic Manager 84
NSFNET-IGP NSFNET-IGP 85
DGP Dissimilar Gateway Protocol 86
TCF TCF 87
EIGRP EIGRP 88
OSPFIGP OSPFIGP 89
Sprite-RPC Sprite RPC Protocol 90
LARP Locus Address Resolution Protocol 91
MTP Multicast Transport Protocol 92
AX.25 AX.25 Frames 93
IPIP IP-within-IP Encapsulation Protocol 94
SCC-SP Semaphore Communications Sec. Pro. 96
ETHERIP Ethernet-within-IP Encapsulation 97
ENCAP Encapsulation Header 98
GMTP GMTP 100
IFMP Ipsilon Flow Management Protocol 101
PNNI PNNI over IP 102
PIM Protocol Independent Multicast 103
ARIS ARIS 104
SCPS SCPS 105
QNX QNX 106
A/N Active Networks 107
IPComp IP Payload Compression Protocol 108
SNP Sitara Networks Protocol 109
Compaq-Peer Compaq Peer Protocol 110
IPX-in-IP IPX in IP 111
VRRP Virtual Router Redundancy Protocol 112
PGM PGM Reliable Transport Protocol 113
L2TP Layer Two Tunneling Protocol 115
DDX D-II Data Exchange (DDX) 116
IATP Interactive Agent Transfer Protocol 117
STP Schedule Transfer Protocol 118
SRP SpectraLink Radio Protocol 119
UTI UTI 120
SMP Simple Message Protocol 121
PTP Performance Transparency Protocol 123
ISIS over IPv4 ISIS over IPv4 124
FIRE FIRE 125
CRTP Combat Radio Transport Protocol 126
CRUDP Combat Radio User Datagram 127
SSCOPMCE SSCOPMCE 128
IPLT IPLT 129
SPS Secure Packet Shield 130
PIPE Private IP Encapsulation within IP 131
SCTP Stream Control Transmission Protocol 132
FC Fibre Channel 133
RSVP-E2E-IGNORE RSVP-E2E-IGNORE 134
Mobility Header Mobility Header 135
UDPLite UDPLite 136
MPLS-in-IP MPLS-in-IP 137
manet MANET Protocols 138
HIP Host Identity Protocol 139
Shim6 Shim6 Protocol 140
WESP Wrapped Encapsulating Security Payload 141
ROHC Robust Header Compression 142
Ethernet Ethernet 143
AGGFRAG AGGFRAG encapsulation payload for ESP 144
NSH Network Service Header 145
Homa Homa 146
BIT-EMU Bit-stream Emulation 147
1 keyword name number
2 HOPOPT IPv6 Hop-by-Hop Option 0
3 ICMP Internet Control Message 1
4 IGMP Internet Group Management 2
5 GGP Gateway-to-Gateway 3
6 IPv4 IPv4 encapsulation 4
7 ST Stream 5
8 TCP Transmission Control 6
9 CBT CBT 7
10 EGP Exterior Gateway Protocol 8
11 IGP any private interior gateway (used by Cisco for their IGRP) 9
12 BBN-RCC-MON BBN RCC Monitoring 10
13 NVP-II Network Voice Protocol 11
14 PUP PUP 12
15 EMCON EMCON 14
16 XNET Cross Net Debugger 15
17 CHAOS Chaos 16
18 UDP User Datagram 17
19 MUX Multiplexing 18
20 DCN-MEAS DCN Measurement Subsystems 19
21 HMP Host Monitoring 20
22 PRM Packet Radio Measurement 21
23 XNS-IDP XEROX NS IDP 22
24 TRUNK-1 Trunk-1 23
25 TRUNK-2 Trunk-2 24
26 LEAF-1 Leaf-1 25
27 LEAF-2 Leaf-2 26
28 RDP Reliable Data Protocol 27
29 IRTP Internet Reliable Transaction 28
30 ISO-TP4 ISO Transport Protocol Class 4 29
31 NETBLT Bulk Data Transfer Protocol 30
32 MFE-NSP MFE Network Services Protocol 31
33 MERIT-INP MERIT Internodal Protocol 32
34 DCCP Datagram Congestion Control Protocol 33
35 3PC Third Party Connect Protocol 34
36 IDPR Inter-Domain Policy Routing Protocol 35
37 XTP XTP 36
38 DDP Datagram Delivery Protocol 37
39 IDPR-CMTP IDPR Control Message Transport Proto 38
40 TP++ TP++ Transport Protocol 39
41 IL IL Transport Protocol 40
42 IPv6 IPv6 encapsulation 41
43 SDRP Source Demand Routing Protocol 42
44 IPv6-Route Routing Header for IPv6 43
45 IPv6-Frag Fragment Header for IPv6 44
46 IDRP Inter-Domain Routing Protocol 45
47 RSVP Reservation Protocol 46
48 GRE Generic Routing Encapsulation 47
49 DSR Dynamic Source Routing Protocol 48
50 BNA BNA 49
51 ESP Encap Security Payload 50
52 AH Authentication Header 51
53 I-NLSP Integrated Net Layer Security TUBA 52
54 NARP NBMA Address Resolution Protocol 54
55 Min-IPv4 Minimal IPv4 Encapsulation 55
56 TLSP Transport Layer Security Protocol using Kryptonet key management 56
57 SKIP SKIP 57
58 IPv6-ICMP ICMP for IPv6 58
59 IPv6-NoNxt No Next Header for IPv6 59
60 IPv6-Opts Destination Options for IPv6 60
61 CFTP CFTP 62
62 SAT-EXPAK SATNET and Backroom EXPAK 64
63 KRYPTOLAN Kryptolan 65
64 RVD MIT Remote Virtual Disk Protocol 66
65 IPPC Internet Pluribus Packet Core 67
66 SAT-MON SATNET Monitoring 69
67 VISA VISA Protocol 70
68 IPCV Internet Packet Core Utility 71
69 CPNX Computer Protocol Network Executive 72
70 CPHB Computer Protocol Heart Beat 73
71 WSN Wang Span Network 74
72 PVP Packet Video Protocol 75
73 BR-SAT-MON Backroom SATNET Monitoring 76
74 SUN-ND SUN ND PROTOCOL-Temporary 77
75 WB-MON WIDEBAND Monitoring 78
76 WB-EXPAK WIDEBAND EXPAK 79
77 ISO-IP ISO Internet Protocol 80
78 VMTP VMTP 81
79 SECURE-VMTP SECURE-VMTP 82
80 VINES VINES 83
81 IPTM Internet Protocol Traffic Manager 84
82 NSFNET-IGP NSFNET-IGP 85
83 DGP Dissimilar Gateway Protocol 86
84 TCF TCF 87
85 EIGRP EIGRP 88
86 OSPFIGP OSPFIGP 89
87 Sprite-RPC Sprite RPC Protocol 90
88 LARP Locus Address Resolution Protocol 91
89 MTP Multicast Transport Protocol 92
90 AX.25 AX.25 Frames 93
91 IPIP IP-within-IP Encapsulation Protocol 94
92 SCC-SP Semaphore Communications Sec. Pro. 96
93 ETHERIP Ethernet-within-IP Encapsulation 97
94 ENCAP Encapsulation Header 98
95 GMTP GMTP 100
96 IFMP Ipsilon Flow Management Protocol 101
97 PNNI PNNI over IP 102
98 PIM Protocol Independent Multicast 103
99 ARIS ARIS 104
100 SCPS SCPS 105
101 QNX QNX 106
102 A/N Active Networks 107
103 IPComp IP Payload Compression Protocol 108
104 SNP Sitara Networks Protocol 109
105 Compaq-Peer Compaq Peer Protocol 110
106 IPX-in-IP IPX in IP 111
107 VRRP Virtual Router Redundancy Protocol 112
108 PGM PGM Reliable Transport Protocol 113
109 L2TP Layer Two Tunneling Protocol 115
110 DDX D-II Data Exchange (DDX) 116
111 IATP Interactive Agent Transfer Protocol 117
112 STP Schedule Transfer Protocol 118
113 SRP SpectraLink Radio Protocol 119
114 UTI UTI 120
115 SMP Simple Message Protocol 121
116 PTP Performance Transparency Protocol 123
117 ISIS over IPv4 ISIS over IPv4 124
118 FIRE FIRE 125
119 CRTP Combat Radio Transport Protocol 126
120 CRUDP Combat Radio User Datagram 127
121 SSCOPMCE SSCOPMCE 128
122 IPLT IPLT 129
123 SPS Secure Packet Shield 130
124 PIPE Private IP Encapsulation within IP 131
125 SCTP Stream Control Transmission Protocol 132
126 FC Fibre Channel 133
127 RSVP-E2E-IGNORE RSVP-E2E-IGNORE 134
128 Mobility Header Mobility Header 135
129 UDPLite UDPLite 136
130 MPLS-in-IP MPLS-in-IP 137
131 manet MANET Protocols 138
132 HIP Host Identity Protocol 139
133 Shim6 Shim6 Protocol 140
134 WESP Wrapped Encapsulating Security Payload 141
135 ROHC Robust Header Compression 142
136 Ethernet Ethernet 143
137 AGGFRAG AGGFRAG encapsulation payload for ESP 144
138 NSH Network Service Header 145
139 Homa Homa 146
140 BIT-EMU Bit-stream Emulation 147
data/misc/territory.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{name}", "rows": "territory.tsv", "key": "alpha2", "name": "name" }
data/misc/territory.tsv
-242
View File
@@ -1,242 +0,0 @@
alpha2 alpha3 calling-code capital country currency flag languages name numeric tld
AD AND 376 Andorra la Vella AD EUR 🇦🇩 ca Andorra 020 .ad
AE ARE 971 Abu Dhabi AE AED 🇦🇪 ar-AE,fa,en,hi,ur United Arab Emirates 784 .ae
AF AFG 93 Kabul AF AFN 🇦🇫 fa-AF,ps,uz-AF,tk Afghanistan 004 .af
AG ATG 1-268 St. John's AG XCD 🇦🇬 en-AG Antigua & Barbuda 028 .ag
AI AIA 1-264 The Valley GB XCD 🇦🇮 en-AI Anguilla 660 .ai
AL ALB 355 Tirana AL ALL 🇦🇱 sq,el Albania 008 .al
AM ARM 374 Yerevan AM AMD 🇦🇲 hy Armenia 051 .am
AO AGO 244 Luanda AO AOA 🇦🇴 pt-AO Angola 024 .ao
AR ARG 54 Buenos Aires AR ARS 🇦🇷 es-AR,en,it,de,fr,gn Argentina 032 .ar
AS ASM 1-684 Pago Pago US USD 🇦🇸 en-AS,sm,to American Samoa 016 .as
AT AUT 43 Vienna AT EUR 🇦🇹 de-AT,hr,hu,sl Austria 040 .at
AU AUS 61 Canberra AU AUD 🇦🇺 en-AU Australia 036 .au
AW ABW 297 Oranjestad NL AWG 🇦🇼 nl-AW,pap,es,en Aruba 533 .aw
AX ALA 358 Mariehamn FI EUR 🇦🇽 sv-AX Åland Islands 248 .ax
AZ AZE 994 Baku AZ AZN 🇦🇿 az,ru,hy Azerbaijan 031 .az
BA BIH 387 Sarajevo BA BAM 🇧🇦 bs,hr-BA,sr-BA Bosnia 070 .ba
BB BRB 1-246 Bridgetown BB BBD 🇧🇧 en-BB Barbados 052 .bb
BD BGD 880 Dhaka BD BDT 🇧🇩 bn-BD,en Bangladesh 050 .bd
BE BEL 32 Brussels BE EUR 🇧🇪 nl-BE,fr-BE,de-BE Belgium 056 .be
BF BFA 226 Ouagadougou BF XOF 🇧🇫 fr-BF,mos Burkina Faso 854 .bf
BG BGR 359 Sofia BG EUR 🇧🇬 bg,tr-BG,rom Bulgaria 100 .bg
BH BHR 973 Manama BH BHD 🇧🇭 ar-BH,en,fa,ur Bahrain 048 .bh
BI BDI 257 Gitega BI BIF 🇧🇮 fr-BI,rn Burundi 108 .bi
BJ BEN 229 Porto-Novo BJ XOF 🇧🇯 fr-BJ Benin 204 .bj
BL BLM 590 Gustavia FR EUR 🇧🇱 fr St. Barthélemy 652 .gp
BM BMU 1-441 Hamilton GB BMD 🇧🇲 en-BM,pt Bermuda 060 .bm
BN BRN 673 Bandar Seri Begawan BN BND 🇧🇳 ms-BN,en-BN Brunei 096 .bn
BO BOL 591 Sucre BO BOB 🇧🇴 es-BO,qu,ay Bolivia 068 .bo
BR BRA 55 Brasilia BR BRL 🇧🇷 pt-BR,es,en,fr Brazil 076 .br
BS BHS 1-242 Nassau BS BSD 🇧🇸 en-BS Bahamas 044 .bs
BT BTN 975 Thimphu BT INR 🇧🇹 dz Bhutan 064 .bt
BW BWA 267 Gaborone BW BWP 🇧🇼 en-BW,tn-BW Botswana 072 .bw
BY BLR 375 Minsk BY BYN 🇧🇾 be,ru Belarus 112 .by
BZ BLZ 501 Belmopan BZ BZD 🇧🇿 en-BZ,es Belize 084 .bz
CA CAN 1 Ottawa CA CAD 🇨🇦 en-CA,fr-CA,iu Canada 124 .ca
CC CCK 61 West Island AU AUD 🇨🇨 ms-CC,en Cocos Islands 166 .cc
CD COD 243 Kinshasa CD CDF 🇨🇩 fr-CD,ln,ktu,kg,sw,lua Congo - Kinshasa 180 .cd
CF CAF 236 Bangui CF XAF 🇨🇫 fr-CF,sg,ln,kg Central African Republic 140 .cf
CG COG 242 Brazzaville CG XAF 🇨🇬 fr-CG,kg,ln-CG Congo - Brazzaville 178 .cg
CH CHE 41 Bern CH CHF 🇨🇭 de-CH,fr-CH,it-CH,rm Switzerland 756 .ch
CI CIV 225 Yamoussoukro CI XOF 🇨🇮 fr-CI Côte d’Ivoire 384 .ci
CK COK 682 Avarua NZ NZD 🇨🇰 en-CK,mi Cook Islands 184 .ck
CL CHL 56 Santiago CL CLP 🇨🇱 es-CL Chile 152 .cl
CM CMR 237 Yaounde CM XAF 🇨🇲 en-CM,fr-CM Cameroon 120 .cm
CN CHN 86 Beijing CN CNY 🇨🇳 zh-CN,yue,wuu,dta,ug,za China 156 .cn
CO COL 57 Bogota CO COP 🇨🇴 es-CO Colombia 170 .co
CR CRI 506 San Jose CR CRC 🇨🇷 es-CR,en Costa Rica 188 .cr
CU CUB 53 Havana CU CUP 🇨🇺 es-CU,pap Cuba 192 .cu
CV CPV 238 Praia CV CVE 🇨🇻 pt-CV Cape Verde 132 .cv
CW CUW 599 Willemstad NL XCG 🇨🇼 nl,pap Curaçao 531 .cw
CX CXR 61 Flying Fish Cove AU AUD 🇨🇽 en,zh,ms-CX Christmas Island 162 .cx
CY CYP 357 Nicosia CY EUR 🇨🇾 el-CY,tr-CY,en Cyprus 196 .cy
CZ CZE 420 Prague CZ CZK 🇨🇿 cs,sk Czechia 203 .cz
DE DEU 49 Berlin DE EUR 🇩🇪 de Germany 276 .de
DJ DJI 253 Djibouti DJ DJF 🇩🇯 fr-DJ,ar,so-DJ,aa Djibouti 262 .dj
DK DNK 45 Copenhagen DK DKK 🇩🇰 da-DK,en,fo,de-DK Denmark 208 .dk
DM DMA 1-767 Roseau DM XCD 🇩🇲 en-DM Dominica 212 .dm
DO DOM 1-809 Santo Domingo DO DOP 🇩🇴 es-DO Dominican Republic 214 .do
DZ DZA 213 Algiers DZ DZD 🇩🇿 ar-DZ Algeria 012 .dz
EC ECU 593 Quito EC USD 🇪🇨 es-EC Ecuador 218 .ec
EE EST 372 Tallinn EE EUR 🇪🇪 et,ru Estonia 233 .ee
EG EGY 20 Cairo EG EGP 🇪🇬 ar-EG,en,fr Egypt 818 .eg
EH ESH 212 El-Aaiun EH MAD 🇪🇭 ar,mey Western Sahara 732 .eh
ER ERI 291 Asmara ER ERN 🇪🇷 aa-ER,ar,tig,kun,ti-ER Eritrea 232 .er
ES ESP 34 Madrid ES EUR 🇪🇸 es-ES,ca,gl,eu,oc Spain 724 .es
ET ETH 251 Addis Ababa ET ETB 🇪🇹 am,en-ET,om-ET,ti-ET,so-ET,sid Ethiopia 231 .et
FI FIN 358 Helsinki FI EUR 🇫🇮 fi-FI,sv-FI,smn Finland 246 .fi
FJ FJI 679 Suva FJ FJD 🇫🇯 en-FJ,fj Fiji 242 .fj
FK FLK 500 Stanley GB FKP 🇫🇰 en-FK Falkland Islands 238 .fk
FM FSM 691 Palikir FM USD 🇫🇲 en-FM,chk,pon,yap,kos,uli,woe,nkr,kpg Micronesia 583 .fm
FO FRO 298 Torshavn DK DKK 🇫🇴 fo,da-FO Faroe Islands 234 .fo
FR FRA 33 Paris FR EUR 🇫🇷 fr-FR,frp,br,co,ca,eu,oc France 250 .fr
GA GAB 241 Libreville GA XAF 🇬🇦 fr-GA Gabon 266 .ga
GB GBR 44 London GB GBP 🇬🇧 en-GB,cy-GB,gd UK 826 .uk
GD GRD 1-473 St. George's GD XCD 🇬🇩 en-GD Grenada 308 .gd
GE GEO 995 Tbilisi GE GEL 🇬🇪 ka,ru,hy,az Georgia 268 .ge
GF GUF 594 Cayenne FR EUR 🇬🇫 fr-GF French Guiana 254 .gf
GG GGY 44 St Peter Port GB GBP 🇬🇬 en,nrf Guernsey 831 .gg
GH GHA 233 Accra GH GHS 🇬🇭 en-GH,ak,ee,tw Ghana 288 .gh
GI GIB 350 Gibraltar GB GIP 🇬🇮 en-GI,es,it,pt Gibraltar 292 .gi
GL GRL 299 Nuuk DK DKK 🇬🇱 kl,da-GL,en Greenland 304 .gl
GM GMB 220 Banjul GM GMD 🇬🇲 en-GM,mnk,wof,wo,ff Gambia 270 .gm
GN GIN 224 Conakry GN GNF 🇬🇳 fr-GN Guinea 324 .gn
GP GLP 590 Basse-Terre FR EUR 🇬🇵 fr-GP Guadeloupe 312 .gp
GQ GNQ 240 Ciudad de la Paz GQ XAF 🇬🇶 es-GQ,fr,pt Equatorial Guinea 226 .gq
GR GRC 30 Athens GR EUR 🇬🇷 el-GR,en,fr Greece 300 .gr
GT GTM 502 Guatemala City GT GTQ 🇬🇹 es-GT Guatemala 320 .gt
GU GUM 1-671 Hagatna US USD 🇬🇺 en-GU,ch-GU Guam 316 .gu
GW GNB 245 Bissau GW XOF 🇬🇼 pt-GW,pov Guinea-Bissau 624 .gw
GY GUY 592 Georgetown GY GYD 🇬🇾 en-GY Guyana 328 .gy
HK HKG 852 Hong Kong CN HKD 🇭🇰 zh-HK,yue,zh,en Hong Kong 344 .hk
HN HND 504 Tegucigalpa HN HNL 🇭🇳 es-HN,cab,miq Honduras 340 .hn
HR HRV 385 Zagreb HR EUR 🇭🇷 hr-HR,sr Croatia 191 .hr
HT HTI 509 Port-au-Prince HT HTG 🇭🇹 ht,fr-HT Haiti 332 .ht
HU HUN 36 Budapest HU HUF 🇭🇺 hu-HU Hungary 348 .hu
ID IDN 62 Jakarta ID IDR 🇮🇩 id,en,nl,jv Indonesia 360 .id
IE IRL 353 Dublin IE EUR 🇮🇪 en-IE,ga-IE Ireland 372 .ie
IL ISR 972 Jerusalem IL ILS 🇮🇱 he,ar-IL,en-IL Israel 376 .il
IM IMN 44 Douglas GB GBP 🇮🇲 en,gv Isle of Man 833 .im
IN IND 91 New Delhi IN INR 🇮🇳 en-IN,hi,bn,te,mr,ta,ur,gu,kn,ml,or,pa,as,bh,sat,ks,ne,sd,kok,doi,mni,sit,sa,fr,lus,inc India 356 .in
IO IOT 246 Diego Garcia GB USD 🇮🇴 en-IO British Indian Ocean Territory 086 .io
IQ IRQ 964 Baghdad IQ IQD 🇮🇶 ar-IQ,ku,hy Iraq 368 .iq
IR IRN 98 Tehran IR IRR 🇮🇷 fa-IR,ku Iran 364 .ir
IS ISL 354 Reykjavik IS ISK 🇮🇸 is,en,de,da,sv,no Iceland 352 .is
IT ITA 39 Rome IT EUR 🇮🇹 it-IT,de-IT,fr-IT,sc,ca,co,sl Italy 380 .it
JE JEY 44 Saint Helier GB GBP 🇯🇪 en,fr,nrf Jersey 832 .je
JM JAM 1-876 Kingston JM JMD 🇯🇲 en-JM Jamaica 388 .jm
JO JOR 962 Amman JO JOD 🇯🇴 ar-JO,en Jordan 400 .jo
JP JPN 81 Tokyo JP JPY 🇯🇵 ja Japan 392 .jp
KE KEN 254 Nairobi KE KES 🇰🇪 en-KE,sw-KE Kenya 404 .ke
KG KGZ 996 Bishkek KG KGS 🇰🇬 ky,uz,ru Kyrgyzstan 417 .kg
KH KHM 855 Phnom Penh KH KHR 🇰🇭 km,fr,en Cambodia 116 .kh
KI KIR 686 Tarawa KI AUD 🇰🇮 en-KI,gil Kiribati 296 .ki
KM COM 269 Moroni KM KMF 🇰🇲 ar,fr-KM Comoros 174 .km
KN KNA 1-869 Basseterre KN XCD 🇰🇳 en-KN St. Kitts & Nevis 659 .kn
KP PRK 850 Pyongyang KP KPW 🇰🇵 ko-KP North Korea 408 .kp
KR KOR 82 Seoul KR KRW 🇰🇷 ko-KR,en South Korea 410 .kr
KW KWT 965 Kuwait City KW KWD 🇰🇼 ar-KW,en Kuwait 414 .kw
KY CYM 1-345 George Town GB KYD 🇰🇾 en-KY Cayman Islands 136 .ky
KZ KAZ 7 Nur-Sultan KZ KZT 🇰🇿 kk,ru Kazakhstan 398 .kz
LA LAO 856 Vientiane LA LAK 🇱🇦 lo,fr,en Laos 418 .la
LB LBN 961 Beirut LB LBP 🇱🇧 ar-LB,fr-LB,en,hy Lebanon 422 .lb
LC LCA 1-758 Castries LC XCD 🇱🇨 en-LC St. Lucia 662 .lc
LI LIE 423 Vaduz LI CHF 🇱🇮 de-LI Liechtenstein 438 .li
LK LKA 94 Colombo LK LKR 🇱🇰 si,ta,en Sri Lanka 144 .lk
LR LBR 231 Monrovia LR LRD 🇱🇷 en-LR Liberia 430 .lr
LS LSO 266 Maseru LS LSL 🇱🇸 en-LS,st,zu,xh Lesotho 426 .ls
LT LTU 370 Vilnius LT EUR 🇱🇹 lt,ru,pl Lithuania 440 .lt
LU LUX 352 Luxembourg LU EUR 🇱🇺 lb,de-LU,fr-LU Luxembourg 442 .lu
LV LVA 371 Riga LV EUR 🇱🇻 lv,ru,lt Latvia 428 .lv
LY LBY 218 Tripoli LY LYD 🇱🇾 ar-LY,it,en Libya 434 .ly
MA MAR 212 Rabat MA MAD 🇲🇦 ar-MA,ber,fr Morocco 504 .ma
MC MCO 377 Monaco MC EUR 🇲🇨 fr-MC,en,it Monaco 492 .mc
MD MDA 373 Chisinau MD MDL 🇲🇩 ro,ru,gag,tr Moldova 498 .md
ME MNE 382 Podgorica ME EUR 🇲🇪 sr,hu,bs,sq,hr,rom Montenegro 499 .me
MF MAF 590 Marigot FR EUR 🇲🇫 fr St. Martin 663 .gp
MG MDG 261 Antananarivo MG MGA 🇲🇬 fr-MG,mg Madagascar 450 .mg
MH MHL 692 Majuro MH USD 🇲🇭 mh,en-MH Marshall Islands 584 .mh
MK MKD 389 Skopje MK MKD 🇲🇰 mk,sq,tr,rmm,sr North Macedonia 807 .mk
ML MLI 223 Bamako ML XOF 🇲🇱 fr-ML,bm Mali 466 .ml
MM MMR 95 Nay Pyi Taw MM MMK 🇲🇲 my Myanmar 104 .mm
MN MNG 976 Ulaanbaatar MN MNT 🇲🇳 mn,ru Mongolia 496 .mn
MO MAC 853 Macao CN MOP 🇲🇴 zh,zh-MO,pt Macao 446 .mo
MP MNP 1-670 Saipan US USD 🇲🇵 fil,tl,zh,ch-MP,en-MP Northern Mariana Islands 580 .mp
MQ MTQ 596 Fort-de-France FR EUR 🇲🇶 fr-MQ Martinique 474 .mq
MR MRT 222 Nouakchott MR MRU 🇲🇷 ar-MR,fuc,snk,fr,mey,wo Mauritania 478 .mr
MS MSR 1-664 Plymouth GB XCD 🇲🇸 en-MS Montserrat 500 .ms
MT MLT 356 Valletta MT EUR 🇲🇹 mt,en-MT Malta 470 .mt
MU MUS 230 Port Louis MU MUR 🇲🇺 en-MU,bho,fr Mauritius 480 .mu
MV MDV 960 Male MV MVR 🇲🇻 dv,en Maldives 462 .mv
MW MWI 265 Lilongwe MW MWK 🇲🇼 ny,yao,tum,swk Malawi 454 .mw
MX MEX 52 Mexico City MX MXN 🇲🇽 es-MX Mexico 484 .mx
MY MYS 60 Kuala Lumpur MY MYR 🇲🇾 ms-MY,en,zh,ta,te,ml,pa,th Malaysia 458 .my
MZ MOZ 258 Maputo MZ MZN 🇲🇿 pt-MZ,vmw Mozambique 508 .mz
NA NAM 264 Windhoek NA NAD 🇳🇦 en-NA,af,de,hz,naq Namibia 516 .na
NC NCL 687 Noumea FR XPF 🇳🇨 fr-NC New Caledonia 540 .nc
NE NER 227 Niamey NE XOF 🇳🇪 fr-NE,ha,kr,dje Niger 562 .ne
NF NFK 672 Kingston AU AUD 🇳🇫 en-NF Norfolk Island 574 .nf
NG NGA 234 Abuja NG NGN 🇳🇬 en-NG,ha,yo,ig,ff Nigeria 566 .ng
NI NIC 505 Managua NI NIO 🇳🇮 es-NI,en Nicaragua 558 .ni
NL NLD 31 Amsterdam NL EUR 🇳🇱 nl-NL,fy-NL Netherlands 528 .nl
NO NOR 47 Oslo NO NOK 🇳🇴 no,nb,nn,se,fi Norway 578 .no
NP NPL 977 Kathmandu NP NPR 🇳🇵 ne,en Nepal 524 .np
NR NRU 674 Yaren NR AUD 🇳🇷 na,en-NR Nauru 520 .nr
NU NIU 683 Alofi NZ NZD 🇳🇺 niu,en-NU Niue 570 .nu
NZ NZL 64 Wellington NZ NZD 🇳🇿 en-NZ,mi New Zealand 554 .nz
OM OMN 968 Muscat OM OMR 🇴🇲 ar-OM,en,bal,ur Oman 512 .om
PA PAN 507 Panama City PA PAB 🇵🇦 es-PA,en Panama 591 .pa
PE PER 51 Lima PE PEN 🇵🇪 es-PE,qu,ay Peru 604 .pe
PF PYF 689 Papeete FR XPF 🇵🇫 fr-PF,ty French Polynesia 258 .pf
PG PNG 675 Port Moresby PG PGK 🇵🇬 en-PG,ho,meu,tpi Papua New Guinea 598 .pg
PH PHL 63 Manila PH PHP 🇵🇭 tl,en-PH,fil,ceb,ilo,hil,war,pam,bik,bcl,pag,mrw,tsg,mdh,cbk,krj,sgd,msb,akl,ibg,yka,mta,abx Philippines 608 .ph
PK PAK 92 Islamabad PK PKR 🇵🇰 ur-PK,en-PK,pa,sd,ps,brh Pakistan 586 .pk
PL POL 48 Warsaw PL PLN 🇵🇱 pl Poland 616 .pl
PM SPM 508 Saint-Pierre FR EUR 🇵🇲 fr-PM St. Pierre & Miquelon 666 .pm
PN PCN 870 Adamstown GB NZD 🇵🇳 en-PN Pitcairn 612 .pn
PR PRI 1 San Juan US USD 🇵🇷 en-PR,es-PR Puerto Rico 630 .pr
PT PRT 351 Lisbon PT EUR 🇵🇹 pt-PT,mwl Portugal 620 .pt
PW PLW 680 Melekeok PW USD 🇵🇼 pau,sov,en-PW,tox,ja,fil,zh Palau 585 .pw
PY PRY 595 Asuncion PY PYG 🇵🇾 es-PY,gn Paraguay 600 .py
QA QAT 974 Doha QA QAR 🇶🇦 ar-QA,es Qatar 634 .qa
RE REU 262 Saint-Denis FR EUR 🇷🇪 fr-RE Réunion 638 .re
RO ROU 40 Bucharest RO RON 🇷🇴 ro,hu,rom Romania 642 .ro
RS SRB 381 Belgrade RS RSD 🇷🇸 sr,hu,bs,rom Serbia 688 .rs
RU RUS 7 Moscow RU RUB 🇷🇺 ru,tt,xal,cau,ady,kv,ce,tyv,cv,udm,tut,mns,bua,myv,mdf,chm,ba,inh,kbd,krc,av,sah,nog Russia 643 .ru
RW RWA 250 Kigali RW RWF 🇷🇼 rw,en-RW,fr-RW,sw Rwanda 646 .rw
SA SAU 966 Riyadh SA SAR 🇸🇦 ar-SA Saudi Arabia 682 .sa
SB SLB 677 Honiara SB SBD 🇸🇧 en-SB,tpi Solomon Islands 090 .sb
SC SYC 248 Victoria SC SCR 🇸🇨 en-SC,fr-SC Seychelles 690 .sc
SD SDN 249 Khartoum SD SDG 🇸🇩 ar-SD,en,fia Sudan 729 .sd
SE SWE 46 Stockholm SE SEK 🇸🇪 sv-SE,se,sma,fi-SE Sweden 752 .se
SG SGP 65 Singapore SG SGD 🇸🇬 cmn,en-SG,ms-SG,ta-SG,zh-SG Singapore 702 .sg
SH SHN 290 Jamestown GB SHP 🇸🇭 en-SH St. Helena 654 .sh
SI SVN 386 Ljubljana SI EUR 🇸🇮 sl,sh Slovenia 705 .si
SJ SJM 47 Longyearbyen NO NOK 🇸🇯 no,ru Svalbard & Jan Mayen 744 .sj
SK SVK 421 Bratislava SK EUR 🇸🇰 sk,hu Slovakia 703 .sk
SL SLE 232 Freetown SL SLE 🇸🇱 en-SL,men,tem Sierra Leone 694 .sl
SM SMR 378 San Marino SM EUR 🇸🇲 it-SM San Marino 674 .sm
SN SEN 221 Dakar SN XOF 🇸🇳 fr-SN,wo,fuc,mnk Senegal 686 .sn
SO SOM 252 Mogadishu SO SOS 🇸🇴 so-SO,ar-SO,it,en-SO Somalia 706 .so
SR SUR 597 Paramaribo SR SRD 🇸🇷 nl-SR,en,srn,hns,jv Suriname 740 .sr
SS SSD 211 Juba SS SSP 🇸🇸 en South Sudan 728 .ss
ST STP 239 Sao Tome ST STN 🇸🇹 pt-ST São Tomé & Príncipe 678 .st
SV SLV 503 San Salvador SV SVC 🇸🇻 es-SV El Salvador 222 .sv
SX SXM 1-721 Philipsburg NL XCG 🇸🇽 nl,en Sint Maarten 534 .sx
SY SYR 963 Damascus SY SYP 🇸🇾 ar-SY,ku,hy,arc,fr,en Syria 760 .sy
SZ SWZ 268 Mbabane SZ SZL 🇸🇿 en-SZ,ss-SZ Eswatini 748 .sz
TC TCA 1-649 Cockburn Town GB USD 🇹🇨 en-TC Turks & Caicos Islands 796 .tc
TD TCD 235 N'Djamena TD XAF 🇹🇩 fr-TD,ar-TD,sre Chad 148 .td
TF ATF 262 Port-aux-Francais FR EUR 🇹🇫 fr French Southern Territories 260 .tf
TG TGO 228 Lome TG XOF 🇹🇬 fr-TG,ee,hna,kbp,dag,ha Togo 768 .tg
TH THA 66 Bangkok TH THB 🇹🇭 th,en Thailand 764 .th
TJ TJK 992 Dushanbe TJ TJS 🇹🇯 tg,ru Tajikistan 762 .tj
TL TLS 670 Dili TL USD 🇹🇱 tet,pt-TL,id,en Timor-Leste 626 .tl
TM TKM 993 Ashgabat TM TMT 🇹🇲 tk,ru,uz Turkmenistan 795 .tm
TN TUN 216 Tunis TN TND 🇹🇳 ar-TN,fr Tunisia 788 .tn
TO TON 676 Nuku'alofa TO TOP 🇹🇴 to,en-TO Tonga 776 .to
TR TUR 90 Ankara TR TRY 🇹🇷 tr-TR,ku,diq,az,av Türkiye 792 .tr
TT TTO 1-868 Port of Spain TT TTD 🇹🇹 en-TT,hns,fr,es,zh Trinidad & Tobago 780 .tt
TV TUV 688 Funafuti TV AUD 🇹🇻 tvl,en,sm,gil Tuvalu 798 .tv
TW TWN 886 Taipei TW TWD 🇹🇼 zh-TW,zh,nan,hak Taiwan 158 .tw
TZ TZA 255 Dodoma TZ TZS 🇹🇿 sw-TZ,en,ar Tanzania 834 .tz
UA UKR 380 Kyiv UA UAH 🇺🇦 uk,ru-UA,rom,pl,hu Ukraine 804 .ua
UG UGA 256 Kampala UG UGX 🇺🇬 en-UG,lg,sw,ar Uganda 800 .ug
US USA 1 Washington US USD 🇺🇸 en-US,es-US,haw,fr US 840 .us
UY URY 598 Montevideo UY UYU 🇺🇾 es-UY Uruguay 858 .uy
UZ UZB 998 Tashkent UZ UZS 🇺🇿 uz,ru,tg Uzbekistan 860 .uz
VA VAT 39 Vatican City VA EUR 🇻🇦 la,it,fr Vatican City 336 .va
VC VCT 1-784 Kingstown VC XCD 🇻🇨 en-VC,fr St. Vincent & Grenadines 670 .vc
VE VEN 58 Caracas VE VES 🇻🇪 es-VE Venezuela 862 .ve
VG VGB 1-284 Road Town GB USD 🇻🇬 en-VG British Virgin Islands 092 .vg
VI VIR 1-340 Charlotte Amalie US USD 🇻🇮 en-VI U.S. Virgin Islands 850 .vi
VN VNM 84 Hanoi VN VND 🇻🇳 vi,en,fr,zh,km Vietnam 704 .vn
VU VUT 678 Port Vila VU VUV 🇻🇺 bi,en-VU,fr-VU Vanuatu 548 .vu
WF WLF 681 Mata Utu FR XPF 🇼🇫 wls,fud,fr-WF Wallis & Futuna 876 .wf
WS WSM 685 Apia WS WST 🇼🇸 sm,en-WS Samoa 882 .ws
YE YEM 967 Sanaa YE YER 🇾🇪 ar-YE Yemen 887 .ye
YT MYT 262 Mamoudzou FR EUR 🇾🇹 fr-YT Mayotte 175 .yt
ZA ZAF 27 Pretoria ZA ZAR 🇿🇦 zu,xh,af,nso,en-ZA,tn,st,ts,ss,ve,nr South Africa 710 .za
ZM ZMB 260 Lusaka ZM ZMW 🇿🇲 en-ZM,bem,loz,lun,lue,ny,toi Zambia 894 .zm
ZW ZWE 263 Harare ZW ZWG 🇿🇼 en-ZW,sn,nr,nd Zimbabwe 716 .zw
1 alpha2 alpha3 calling-code capital country currency flag languages name numeric tld
2 AD AND 376 Andorra la Vella AD EUR 🇦🇩 ca Andorra 020 .ad
3 AE ARE 971 Abu Dhabi AE AED 🇦🇪 ar-AE,fa,en,hi,ur United Arab Emirates 784 .ae
4 AF AFG 93 Kabul AF AFN 🇦🇫 fa-AF,ps,uz-AF,tk Afghanistan 004 .af
5 AG ATG 1-268 St. John's AG XCD 🇦🇬 en-AG Antigua & Barbuda 028 .ag
6 AI AIA 1-264 The Valley GB XCD 🇦🇮 en-AI Anguilla 660 .ai
7 AL ALB 355 Tirana AL ALL 🇦🇱 sq,el Albania 008 .al
8 AM ARM 374 Yerevan AM AMD 🇦🇲 hy Armenia 051 .am
9 AO AGO 244 Luanda AO AOA 🇦🇴 pt-AO Angola 024 .ao
10 AR ARG 54 Buenos Aires AR ARS 🇦🇷 es-AR,en,it,de,fr,gn Argentina 032 .ar
11 AS ASM 1-684 Pago Pago US USD 🇦🇸 en-AS,sm,to American Samoa 016 .as
12 AT AUT 43 Vienna AT EUR 🇦🇹 de-AT,hr,hu,sl Austria 040 .at
13 AU AUS 61 Canberra AU AUD 🇦🇺 en-AU Australia 036 .au
14 AW ABW 297 Oranjestad NL AWG 🇦🇼 nl-AW,pap,es,en Aruba 533 .aw
15 AX ALA 358 Mariehamn FI EUR 🇦🇽 sv-AX Åland Islands 248 .ax
16 AZ AZE 994 Baku AZ AZN 🇦🇿 az,ru,hy Azerbaijan 031 .az
17 BA BIH 387 Sarajevo BA BAM 🇧🇦 bs,hr-BA,sr-BA Bosnia 070 .ba
18 BB BRB 1-246 Bridgetown BB BBD 🇧🇧 en-BB Barbados 052 .bb
19 BD BGD 880 Dhaka BD BDT 🇧🇩 bn-BD,en Bangladesh 050 .bd
20 BE BEL 32 Brussels BE EUR 🇧🇪 nl-BE,fr-BE,de-BE Belgium 056 .be
21 BF BFA 226 Ouagadougou BF XOF 🇧🇫 fr-BF,mos Burkina Faso 854 .bf
22 BG BGR 359 Sofia BG EUR 🇧🇬 bg,tr-BG,rom Bulgaria 100 .bg
23 BH BHR 973 Manama BH BHD 🇧🇭 ar-BH,en,fa,ur Bahrain 048 .bh
24 BI BDI 257 Gitega BI BIF 🇧🇮 fr-BI,rn Burundi 108 .bi
25 BJ BEN 229 Porto-Novo BJ XOF 🇧🇯 fr-BJ Benin 204 .bj
26 BL BLM 590 Gustavia FR EUR 🇧🇱 fr St. Barthélemy 652 .gp
27 BM BMU 1-441 Hamilton GB BMD 🇧🇲 en-BM,pt Bermuda 060 .bm
28 BN BRN 673 Bandar Seri Begawan BN BND 🇧🇳 ms-BN,en-BN Brunei 096 .bn
29 BO BOL 591 Sucre BO BOB 🇧🇴 es-BO,qu,ay Bolivia 068 .bo
30 BR BRA 55 Brasilia BR BRL 🇧🇷 pt-BR,es,en,fr Brazil 076 .br
31 BS BHS 1-242 Nassau BS BSD 🇧🇸 en-BS Bahamas 044 .bs
32 BT BTN 975 Thimphu BT INR 🇧🇹 dz Bhutan 064 .bt
33 BW BWA 267 Gaborone BW BWP 🇧🇼 en-BW,tn-BW Botswana 072 .bw
34 BY BLR 375 Minsk BY BYN 🇧🇾 be,ru Belarus 112 .by
35 BZ BLZ 501 Belmopan BZ BZD 🇧🇿 en-BZ,es Belize 084 .bz
36 CA CAN 1 Ottawa CA CAD 🇨🇦 en-CA,fr-CA,iu Canada 124 .ca
37 CC CCK 61 West Island AU AUD 🇨🇨 ms-CC,en Cocos Islands 166 .cc
38 CD COD 243 Kinshasa CD CDF 🇨🇩 fr-CD,ln,ktu,kg,sw,lua Congo - Kinshasa 180 .cd
39 CF CAF 236 Bangui CF XAF 🇨🇫 fr-CF,sg,ln,kg Central African Republic 140 .cf
40 CG COG 242 Brazzaville CG XAF 🇨🇬 fr-CG,kg,ln-CG Congo - Brazzaville 178 .cg
41 CH CHE 41 Bern CH CHF 🇨🇭 de-CH,fr-CH,it-CH,rm Switzerland 756 .ch
42 CI CIV 225 Yamoussoukro CI XOF 🇨🇮 fr-CI Côte d’Ivoire 384 .ci
43 CK COK 682 Avarua NZ NZD 🇨🇰 en-CK,mi Cook Islands 184 .ck
44 CL CHL 56 Santiago CL CLP 🇨🇱 es-CL Chile 152 .cl
45 CM CMR 237 Yaounde CM XAF 🇨🇲 en-CM,fr-CM Cameroon 120 .cm
46 CN CHN 86 Beijing CN CNY 🇨🇳 zh-CN,yue,wuu,dta,ug,za China 156 .cn
47 CO COL 57 Bogota CO COP 🇨🇴 es-CO Colombia 170 .co
48 CR CRI 506 San Jose CR CRC 🇨🇷 es-CR,en Costa Rica 188 .cr
49 CU CUB 53 Havana CU CUP 🇨🇺 es-CU,pap Cuba 192 .cu
50 CV CPV 238 Praia CV CVE 🇨🇻 pt-CV Cape Verde 132 .cv
51 CW CUW 599 Willemstad NL XCG 🇨🇼 nl,pap Curaçao 531 .cw
52 CX CXR 61 Flying Fish Cove AU AUD 🇨🇽 en,zh,ms-CX Christmas Island 162 .cx
53 CY CYP 357 Nicosia CY EUR 🇨🇾 el-CY,tr-CY,en Cyprus 196 .cy
54 CZ CZE 420 Prague CZ CZK 🇨🇿 cs,sk Czechia 203 .cz
55 DE DEU 49 Berlin DE EUR 🇩🇪 de Germany 276 .de
56 DJ DJI 253 Djibouti DJ DJF 🇩🇯 fr-DJ,ar,so-DJ,aa Djibouti 262 .dj
57 DK DNK 45 Copenhagen DK DKK 🇩🇰 da-DK,en,fo,de-DK Denmark 208 .dk
58 DM DMA 1-767 Roseau DM XCD 🇩🇲 en-DM Dominica 212 .dm
59 DO DOM 1-809 Santo Domingo DO DOP 🇩🇴 es-DO Dominican Republic 214 .do
60 DZ DZA 213 Algiers DZ DZD 🇩🇿 ar-DZ Algeria 012 .dz
61 EC ECU 593 Quito EC USD 🇪🇨 es-EC Ecuador 218 .ec
62 EE EST 372 Tallinn EE EUR 🇪🇪 et,ru Estonia 233 .ee
63 EG EGY 20 Cairo EG EGP 🇪🇬 ar-EG,en,fr Egypt 818 .eg
64 EH ESH 212 El-Aaiun EH MAD 🇪🇭 ar,mey Western Sahara 732 .eh
65 ER ERI 291 Asmara ER ERN 🇪🇷 aa-ER,ar,tig,kun,ti-ER Eritrea 232 .er
66 ES ESP 34 Madrid ES EUR 🇪🇸 es-ES,ca,gl,eu,oc Spain 724 .es
67 ET ETH 251 Addis Ababa ET ETB 🇪🇹 am,en-ET,om-ET,ti-ET,so-ET,sid Ethiopia 231 .et
68 FI FIN 358 Helsinki FI EUR 🇫🇮 fi-FI,sv-FI,smn Finland 246 .fi
69 FJ FJI 679 Suva FJ FJD 🇫🇯 en-FJ,fj Fiji 242 .fj
70 FK FLK 500 Stanley GB FKP 🇫🇰 en-FK Falkland Islands 238 .fk
71 FM FSM 691 Palikir FM USD 🇫🇲 en-FM,chk,pon,yap,kos,uli,woe,nkr,kpg Micronesia 583 .fm
72 FO FRO 298 Torshavn DK DKK 🇫🇴 fo,da-FO Faroe Islands 234 .fo
73 FR FRA 33 Paris FR EUR 🇫🇷 fr-FR,frp,br,co,ca,eu,oc France 250 .fr
74 GA GAB 241 Libreville GA XAF 🇬🇦 fr-GA Gabon 266 .ga
75 GB GBR 44 London GB GBP 🇬🇧 en-GB,cy-GB,gd UK 826 .uk
76 GD GRD 1-473 St. George's GD XCD 🇬🇩 en-GD Grenada 308 .gd
77 GE GEO 995 Tbilisi GE GEL 🇬🇪 ka,ru,hy,az Georgia 268 .ge
78 GF GUF 594 Cayenne FR EUR 🇬🇫 fr-GF French Guiana 254 .gf
79 GG GGY 44 St Peter Port GB GBP 🇬🇬 en,nrf Guernsey 831 .gg
80 GH GHA 233 Accra GH GHS 🇬🇭 en-GH,ak,ee,tw Ghana 288 .gh
81 GI GIB 350 Gibraltar GB GIP 🇬🇮 en-GI,es,it,pt Gibraltar 292 .gi
82 GL GRL 299 Nuuk DK DKK 🇬🇱 kl,da-GL,en Greenland 304 .gl
83 GM GMB 220 Banjul GM GMD 🇬🇲 en-GM,mnk,wof,wo,ff Gambia 270 .gm
84 GN GIN 224 Conakry GN GNF 🇬🇳 fr-GN Guinea 324 .gn
85 GP GLP 590 Basse-Terre FR EUR 🇬🇵 fr-GP Guadeloupe 312 .gp
86 GQ GNQ 240 Ciudad de la Paz GQ XAF 🇬🇶 es-GQ,fr,pt Equatorial Guinea 226 .gq
87 GR GRC 30 Athens GR EUR 🇬🇷 el-GR,en,fr Greece 300 .gr
88 GT GTM 502 Guatemala City GT GTQ 🇬🇹 es-GT Guatemala 320 .gt
89 GU GUM 1-671 Hagatna US USD 🇬🇺 en-GU,ch-GU Guam 316 .gu
90 GW GNB 245 Bissau GW XOF 🇬🇼 pt-GW,pov Guinea-Bissau 624 .gw
91 GY GUY 592 Georgetown GY GYD 🇬🇾 en-GY Guyana 328 .gy
92 HK HKG 852 Hong Kong CN HKD 🇭🇰 zh-HK,yue,zh,en Hong Kong 344 .hk
93 HN HND 504 Tegucigalpa HN HNL 🇭🇳 es-HN,cab,miq Honduras 340 .hn
94 HR HRV 385 Zagreb HR EUR 🇭🇷 hr-HR,sr Croatia 191 .hr
95 HT HTI 509 Port-au-Prince HT HTG 🇭🇹 ht,fr-HT Haiti 332 .ht
96 HU HUN 36 Budapest HU HUF 🇭🇺 hu-HU Hungary 348 .hu
97 ID IDN 62 Jakarta ID IDR 🇮🇩 id,en,nl,jv Indonesia 360 .id
98 IE IRL 353 Dublin IE EUR 🇮🇪 en-IE,ga-IE Ireland 372 .ie
99 IL ISR 972 Jerusalem IL ILS 🇮🇱 he,ar-IL,en-IL Israel 376 .il
100 IM IMN 44 Douglas GB GBP 🇮🇲 en,gv Isle of Man 833 .im
101 IN IND 91 New Delhi IN INR 🇮🇳 en-IN,hi,bn,te,mr,ta,ur,gu,kn,ml,or,pa,as,bh,sat,ks,ne,sd,kok,doi,mni,sit,sa,fr,lus,inc India 356 .in
102 IO IOT 246 Diego Garcia GB USD 🇮🇴 en-IO British Indian Ocean Territory 086 .io
103 IQ IRQ 964 Baghdad IQ IQD 🇮🇶 ar-IQ,ku,hy Iraq 368 .iq
104 IR IRN 98 Tehran IR IRR 🇮🇷 fa-IR,ku Iran 364 .ir
105 IS ISL 354 Reykjavik IS ISK 🇮🇸 is,en,de,da,sv,no Iceland 352 .is
106 IT ITA 39 Rome IT EUR 🇮🇹 it-IT,de-IT,fr-IT,sc,ca,co,sl Italy 380 .it
107 JE JEY 44 Saint Helier GB GBP 🇯🇪 en,fr,nrf Jersey 832 .je
108 JM JAM 1-876 Kingston JM JMD 🇯🇲 en-JM Jamaica 388 .jm
109 JO JOR 962 Amman JO JOD 🇯🇴 ar-JO,en Jordan 400 .jo
110 JP JPN 81 Tokyo JP JPY 🇯🇵 ja Japan 392 .jp
111 KE KEN 254 Nairobi KE KES 🇰🇪 en-KE,sw-KE Kenya 404 .ke
112 KG KGZ 996 Bishkek KG KGS 🇰🇬 ky,uz,ru Kyrgyzstan 417 .kg
113 KH KHM 855 Phnom Penh KH KHR 🇰🇭 km,fr,en Cambodia 116 .kh
114 KI KIR 686 Tarawa KI AUD 🇰🇮 en-KI,gil Kiribati 296 .ki
115 KM COM 269 Moroni KM KMF 🇰🇲 ar,fr-KM Comoros 174 .km
116 KN KNA 1-869 Basseterre KN XCD 🇰🇳 en-KN St. Kitts & Nevis 659 .kn
117 KP PRK 850 Pyongyang KP KPW 🇰🇵 ko-KP North Korea 408 .kp
118 KR KOR 82 Seoul KR KRW 🇰🇷 ko-KR,en South Korea 410 .kr
119 KW KWT 965 Kuwait City KW KWD 🇰🇼 ar-KW,en Kuwait 414 .kw
120 KY CYM 1-345 George Town GB KYD 🇰🇾 en-KY Cayman Islands 136 .ky
121 KZ KAZ 7 Nur-Sultan KZ KZT 🇰🇿 kk,ru Kazakhstan 398 .kz
122 LA LAO 856 Vientiane LA LAK 🇱🇦 lo,fr,en Laos 418 .la
123 LB LBN 961 Beirut LB LBP 🇱🇧 ar-LB,fr-LB,en,hy Lebanon 422 .lb
124 LC LCA 1-758 Castries LC XCD 🇱🇨 en-LC St. Lucia 662 .lc
125 LI LIE 423 Vaduz LI CHF 🇱🇮 de-LI Liechtenstein 438 .li
126 LK LKA 94 Colombo LK LKR 🇱🇰 si,ta,en Sri Lanka 144 .lk
127 LR LBR 231 Monrovia LR LRD 🇱🇷 en-LR Liberia 430 .lr
128 LS LSO 266 Maseru LS LSL 🇱🇸 en-LS,st,zu,xh Lesotho 426 .ls
129 LT LTU 370 Vilnius LT EUR 🇱🇹 lt,ru,pl Lithuania 440 .lt
130 LU LUX 352 Luxembourg LU EUR 🇱🇺 lb,de-LU,fr-LU Luxembourg 442 .lu
131 LV LVA 371 Riga LV EUR 🇱🇻 lv,ru,lt Latvia 428 .lv
132 LY LBY 218 Tripoli LY LYD 🇱🇾 ar-LY,it,en Libya 434 .ly
133 MA MAR 212 Rabat MA MAD 🇲🇦 ar-MA,ber,fr Morocco 504 .ma
134 MC MCO 377 Monaco MC EUR 🇲🇨 fr-MC,en,it Monaco 492 .mc
135 MD MDA 373 Chisinau MD MDL 🇲🇩 ro,ru,gag,tr Moldova 498 .md
136 ME MNE 382 Podgorica ME EUR 🇲🇪 sr,hu,bs,sq,hr,rom Montenegro 499 .me
137 MF MAF 590 Marigot FR EUR 🇲🇫 fr St. Martin 663 .gp
138 MG MDG 261 Antananarivo MG MGA 🇲🇬 fr-MG,mg Madagascar 450 .mg
139 MH MHL 692 Majuro MH USD 🇲🇭 mh,en-MH Marshall Islands 584 .mh
140 MK MKD 389 Skopje MK MKD 🇲🇰 mk,sq,tr,rmm,sr North Macedonia 807 .mk
141 ML MLI 223 Bamako ML XOF 🇲🇱 fr-ML,bm Mali 466 .ml
142 MM MMR 95 Nay Pyi Taw MM MMK 🇲🇲 my Myanmar 104 .mm
143 MN MNG 976 Ulaanbaatar MN MNT 🇲🇳 mn,ru Mongolia 496 .mn
144 MO MAC 853 Macao CN MOP 🇲🇴 zh,zh-MO,pt Macao 446 .mo
145 MP MNP 1-670 Saipan US USD 🇲🇵 fil,tl,zh,ch-MP,en-MP Northern Mariana Islands 580 .mp
146 MQ MTQ 596 Fort-de-France FR EUR 🇲🇶 fr-MQ Martinique 474 .mq
147 MR MRT 222 Nouakchott MR MRU 🇲🇷 ar-MR,fuc,snk,fr,mey,wo Mauritania 478 .mr
148 MS MSR 1-664 Plymouth GB XCD 🇲🇸 en-MS Montserrat 500 .ms
149 MT MLT 356 Valletta MT EUR 🇲🇹 mt,en-MT Malta 470 .mt
150 MU MUS 230 Port Louis MU MUR 🇲🇺 en-MU,bho,fr Mauritius 480 .mu
151 MV MDV 960 Male MV MVR 🇲🇻 dv,en Maldives 462 .mv
152 MW MWI 265 Lilongwe MW MWK 🇲🇼 ny,yao,tum,swk Malawi 454 .mw
153 MX MEX 52 Mexico City MX MXN 🇲🇽 es-MX Mexico 484 .mx
154 MY MYS 60 Kuala Lumpur MY MYR 🇲🇾 ms-MY,en,zh,ta,te,ml,pa,th Malaysia 458 .my
155 MZ MOZ 258 Maputo MZ MZN 🇲🇿 pt-MZ,vmw Mozambique 508 .mz
156 NA NAM 264 Windhoek NA NAD 🇳🇦 en-NA,af,de,hz,naq Namibia 516 .na
157 NC NCL 687 Noumea FR XPF 🇳🇨 fr-NC New Caledonia 540 .nc
158 NE NER 227 Niamey NE XOF 🇳🇪 fr-NE,ha,kr,dje Niger 562 .ne
159 NF NFK 672 Kingston AU AUD 🇳🇫 en-NF Norfolk Island 574 .nf
160 NG NGA 234 Abuja NG NGN 🇳🇬 en-NG,ha,yo,ig,ff Nigeria 566 .ng
161 NI NIC 505 Managua NI NIO 🇳🇮 es-NI,en Nicaragua 558 .ni
162 NL NLD 31 Amsterdam NL EUR 🇳🇱 nl-NL,fy-NL Netherlands 528 .nl
163 NO NOR 47 Oslo NO NOK 🇳🇴 no,nb,nn,se,fi Norway 578 .no
164 NP NPL 977 Kathmandu NP NPR 🇳🇵 ne,en Nepal 524 .np
165 NR NRU 674 Yaren NR AUD 🇳🇷 na,en-NR Nauru 520 .nr
166 NU NIU 683 Alofi NZ NZD 🇳🇺 niu,en-NU Niue 570 .nu
167 NZ NZL 64 Wellington NZ NZD 🇳🇿 en-NZ,mi New Zealand 554 .nz
168 OM OMN 968 Muscat OM OMR 🇴🇲 ar-OM,en,bal,ur Oman 512 .om
169 PA PAN 507 Panama City PA PAB 🇵🇦 es-PA,en Panama 591 .pa
170 PE PER 51 Lima PE PEN 🇵🇪 es-PE,qu,ay Peru 604 .pe
171 PF PYF 689 Papeete FR XPF 🇵🇫 fr-PF,ty French Polynesia 258 .pf
172 PG PNG 675 Port Moresby PG PGK 🇵🇬 en-PG,ho,meu,tpi Papua New Guinea 598 .pg
173 PH PHL 63 Manila PH PHP 🇵🇭 tl,en-PH,fil,ceb,ilo,hil,war,pam,bik,bcl,pag,mrw,tsg,mdh,cbk,krj,sgd,msb,akl,ibg,yka,mta,abx Philippines 608 .ph
174 PK PAK 92 Islamabad PK PKR 🇵🇰 ur-PK,en-PK,pa,sd,ps,brh Pakistan 586 .pk
175 PL POL 48 Warsaw PL PLN 🇵🇱 pl Poland 616 .pl
176 PM SPM 508 Saint-Pierre FR EUR 🇵🇲 fr-PM St. Pierre & Miquelon 666 .pm
177 PN PCN 870 Adamstown GB NZD 🇵🇳 en-PN Pitcairn 612 .pn
178 PR PRI 1 San Juan US USD 🇵🇷 en-PR,es-PR Puerto Rico 630 .pr
179 PT PRT 351 Lisbon PT EUR 🇵🇹 pt-PT,mwl Portugal 620 .pt
180 PW PLW 680 Melekeok PW USD 🇵🇼 pau,sov,en-PW,tox,ja,fil,zh Palau 585 .pw
181 PY PRY 595 Asuncion PY PYG 🇵🇾 es-PY,gn Paraguay 600 .py
182 QA QAT 974 Doha QA QAR 🇶🇦 ar-QA,es Qatar 634 .qa
183 RE REU 262 Saint-Denis FR EUR 🇷🇪 fr-RE Réunion 638 .re
184 RO ROU 40 Bucharest RO RON 🇷🇴 ro,hu,rom Romania 642 .ro
185 RS SRB 381 Belgrade RS RSD 🇷🇸 sr,hu,bs,rom Serbia 688 .rs
186 RU RUS 7 Moscow RU RUB 🇷🇺 ru,tt,xal,cau,ady,kv,ce,tyv,cv,udm,tut,mns,bua,myv,mdf,chm,ba,inh,kbd,krc,av,sah,nog Russia 643 .ru
187 RW RWA 250 Kigali RW RWF 🇷🇼 rw,en-RW,fr-RW,sw Rwanda 646 .rw
188 SA SAU 966 Riyadh SA SAR 🇸🇦 ar-SA Saudi Arabia 682 .sa
189 SB SLB 677 Honiara SB SBD 🇸🇧 en-SB,tpi Solomon Islands 090 .sb
190 SC SYC 248 Victoria SC SCR 🇸🇨 en-SC,fr-SC Seychelles 690 .sc
191 SD SDN 249 Khartoum SD SDG 🇸🇩 ar-SD,en,fia Sudan 729 .sd
192 SE SWE 46 Stockholm SE SEK 🇸🇪 sv-SE,se,sma,fi-SE Sweden 752 .se
193 SG SGP 65 Singapore SG SGD 🇸🇬 cmn,en-SG,ms-SG,ta-SG,zh-SG Singapore 702 .sg
194 SH SHN 290 Jamestown GB SHP 🇸🇭 en-SH St. Helena 654 .sh
195 SI SVN 386 Ljubljana SI EUR 🇸🇮 sl,sh Slovenia 705 .si
196 SJ SJM 47 Longyearbyen NO NOK 🇸🇯 no,ru Svalbard & Jan Mayen 744 .sj
197 SK SVK 421 Bratislava SK EUR 🇸🇰 sk,hu Slovakia 703 .sk
198 SL SLE 232 Freetown SL SLE 🇸🇱 en-SL,men,tem Sierra Leone 694 .sl
199 SM SMR 378 San Marino SM EUR 🇸🇲 it-SM San Marino 674 .sm
200 SN SEN 221 Dakar SN XOF 🇸🇳 fr-SN,wo,fuc,mnk Senegal 686 .sn
201 SO SOM 252 Mogadishu SO SOS 🇸🇴 so-SO,ar-SO,it,en-SO Somalia 706 .so
202 SR SUR 597 Paramaribo SR SRD 🇸🇷 nl-SR,en,srn,hns,jv Suriname 740 .sr
203 SS SSD 211 Juba SS SSP 🇸🇸 en South Sudan 728 .ss
204 ST STP 239 Sao Tome ST STN 🇸🇹 pt-ST São Tomé & Príncipe 678 .st
205 SV SLV 503 San Salvador SV SVC 🇸🇻 es-SV El Salvador 222 .sv
206 SX SXM 1-721 Philipsburg NL XCG 🇸🇽 nl,en Sint Maarten 534 .sx
207 SY SYR 963 Damascus SY SYP 🇸🇾 ar-SY,ku,hy,arc,fr,en Syria 760 .sy
208 SZ SWZ 268 Mbabane SZ SZL 🇸🇿 en-SZ,ss-SZ Eswatini 748 .sz
209 TC TCA 1-649 Cockburn Town GB USD 🇹🇨 en-TC Turks & Caicos Islands 796 .tc
210 TD TCD 235 N'Djamena TD XAF 🇹🇩 fr-TD,ar-TD,sre Chad 148 .td
211 TF ATF 262 Port-aux-Francais FR EUR 🇹🇫 fr French Southern Territories 260 .tf
212 TG TGO 228 Lome TG XOF 🇹🇬 fr-TG,ee,hna,kbp,dag,ha Togo 768 .tg
213 TH THA 66 Bangkok TH THB 🇹🇭 th,en Thailand 764 .th
214 TJ TJK 992 Dushanbe TJ TJS 🇹🇯 tg,ru Tajikistan 762 .tj
215 TL TLS 670 Dili TL USD 🇹🇱 tet,pt-TL,id,en Timor-Leste 626 .tl
216 TM TKM 993 Ashgabat TM TMT 🇹🇲 tk,ru,uz Turkmenistan 795 .tm
217 TN TUN 216 Tunis TN TND 🇹🇳 ar-TN,fr Tunisia 788 .tn
218 TO TON 676 Nuku'alofa TO TOP 🇹🇴 to,en-TO Tonga 776 .to
219 TR TUR 90 Ankara TR TRY 🇹🇷 tr-TR,ku,diq,az,av Türkiye 792 .tr
220 TT TTO 1-868 Port of Spain TT TTD 🇹🇹 en-TT,hns,fr,es,zh Trinidad & Tobago 780 .tt
221 TV TUV 688 Funafuti TV AUD 🇹🇻 tvl,en,sm,gil Tuvalu 798 .tv
222 TW TWN 886 Taipei TW TWD 🇹🇼 zh-TW,zh,nan,hak Taiwan 158 .tw
223 TZ TZA 255 Dodoma TZ TZS 🇹🇿 sw-TZ,en,ar Tanzania 834 .tz
224 UA UKR 380 Kyiv UA UAH 🇺🇦 uk,ru-UA,rom,pl,hu Ukraine 804 .ua
225 UG UGA 256 Kampala UG UGX 🇺🇬 en-UG,lg,sw,ar Uganda 800 .ug
226 US USA 1 Washington US USD 🇺🇸 en-US,es-US,haw,fr US 840 .us
227 UY URY 598 Montevideo UY UYU 🇺🇾 es-UY Uruguay 858 .uy
228 UZ UZB 998 Tashkent UZ UZS 🇺🇿 uz,ru,tg Uzbekistan 860 .uz
229 VA VAT 39 Vatican City VA EUR 🇻🇦 la,it,fr Vatican City 336 .va
230 VC VCT 1-784 Kingstown VC XCD 🇻🇨 en-VC,fr St. Vincent & Grenadines 670 .vc
231 VE VEN 58 Caracas VE VES 🇻🇪 es-VE Venezuela 862 .ve
232 VG VGB 1-284 Road Town GB USD 🇻🇬 en-VG British Virgin Islands 092 .vg
233 VI VIR 1-340 Charlotte Amalie US USD 🇻🇮 en-VI U.S. Virgin Islands 850 .vi
234 VN VNM 84 Hanoi VN VND 🇻🇳 vi,en,fr,zh,km Vietnam 704 .vn
235 VU VUT 678 Port Vila VU VUV 🇻🇺 bi,en-VU,fr-VU Vanuatu 548 .vu
236 WF WLF 681 Mata Utu FR XPF 🇼🇫 wls,fud,fr-WF Wallis & Futuna 876 .wf
237 WS WSM 685 Apia WS WST 🇼🇸 sm,en-WS Samoa 882 .ws
238 YE YEM 967 Sanaa YE YER 🇾🇪 ar-YE Yemen 887 .ye
239 YT MYT 262 Mamoudzou FR EUR 🇾🇹 fr-YT Mayotte 175 .yt
240 ZA ZAF 27 Pretoria ZA ZAR 🇿🇦 zu,xh,af,nso,en-ZA,tn,st,ts,ss,ve,nr South Africa 710 .za
241 ZM ZMB 260 Lusaka ZM ZMW 🇿🇲 en-ZM,bem,loz,lun,lue,ny,toi Zambia 894 .zm
242 ZW ZWE 263 Harare ZW ZWG 🇿🇼 en-ZW,sn,nr,nd Zimbabwe 716 .zw
data/misc/timezone.json
+1 -1
View File
@@ -1 +1 @@
{ "format": "{zone}", "rows": "timezone.tsv", "key": "zone", "parent": "territory", "weight": "weight" }
["UTC", "Africa/Cairo", "Africa/Johannesburg", "America/Chicago", "America/Denver", "America/Los_Angeles", "America/Mexico_City", "America/New_York", "America/Sao_Paulo", "America/Toronto", "Asia/Dubai", "Asia/Hong_Kong", "Asia/Kolkata", "Asia/Shanghai", "Asia/Singapore", "Asia/Tokyo", "Australia/Sydney", "Europe/Amsterdam", "Europe/Berlin", "Europe/London", "Europe/Madrid", "Europe/Moscow", "Europe/Oslo", "Europe/Paris", "Europe/Stockholm", "Europe/Warsaw", "Pacific/Auckland"]
data/misc/timezone.tsv
-402
View File
@@ -1,402 +0,0 @@
offset territory weight zone
+00:00 CI 17496811 Africa/Abidjan
+00:00 GH 11277813 Africa/Accra
+03:00 ET 18690487 Africa/Addis_Ababa
+01:00 DZ 20111539 Africa/Algiers
+03:00 ER 798575 Africa/Asmara
+00:00 ML 7673493 Africa/Bamako
+01:00 CF 2582076 Africa/Bangui
+00:00 GM 1305981 Africa/Banjul
+00:00 GW 904776 Africa/Bissau
+02:00 MW 3030905 Africa/Blantyre
+01:00 CG 3748808 Africa/Brazzaville
+02:00 BI 1251675 Africa/Bujumbura
+02:00 EG 47242427 Africa/Cairo
+00:00 MA 22808531 Africa/Casablanca
+01:00 ES 85985 Africa/Ceuta
+00:00 GN 6679241 Africa/Conakry
+00:00 SN 10055356 Africa/Dakar
+03:00 TZ 21350525 Africa/Dar_es_Salaam
+03:00 DJ 1316108 Africa/Djibouti
+01:00 CM 8330801 Africa/Douala
+00:00 EH 374107 Africa/El_Aaiun
+00:00 SL 1752243 Africa/Freetown
+02:00 BW 1262880 Africa/Gaborone
+02:00 ZW 4508424 Africa/Harare
+02:00 ZA 47939803 Africa/Johannesburg
+02:00 SS 1679674 Africa/Juba
+03:00 UG 9664318 Africa/Kampala
+02:00 SD 11781926 Africa/Khartoum
+02:00 RW 2910190 Africa/Kigali
+01:00 CD 20651243 Africa/Kinshasa
+01:00 NG 75725576 Africa/Lagos
+01:00 GA 1731692 Africa/Libreville
+00:00 TG 3089219 Africa/Lome
+01:00 AO 23567341 Africa/Luanda
+02:00 CD 16660579 Africa/Lubumbashi
+02:00 ZM 8422414 Africa/Lusaka
+01:00 GQ 355840 Africa/Malabo
+02:00 MZ 8598836 Africa/Maputo
+02:00 LS 739682 Africa/Maseru
+02:00 SZ 191312 Africa/Mbabane
+03:00 SO 6165052 Africa/Mogadishu
+00:00 LR 2127307 Africa/Monrovia
+03:00 KE 16920989 Africa/Nairobi
+01:00 TD 3363418 Africa/Ndjamena
+01:00 NE 3689982 Africa/Niamey
+00:00 MR 2157288 Africa/Nouakchott
+00:00 BF 6125427 Africa/Ouagadougou
+01:00 BJ 4001576 Africa/Porto-Novo
+00:00 ST 53300 Africa/Sao_Tome
+02:00 LY 6105792 Africa/Tripoli
+01:00 TN 7314557 Africa/Tunis
+02:00 NA 983097 Africa/Windhoek
-10:00 US 15000 America/Adak
-09:00 US 366200 America/Anchorage
-04:00 AI 15000 America/Anguilla
-04:00 AG 51737 America/Antigua
-03:00 BR 858988 America/Araguaina
-03:00 AR 11817784 America/Argentina/Buenos_Aires
-03:00 AR 580969 America/Argentina/Catamarca
-03:00 AR 8998034 America/Argentina/Cordoba
-03:00 AR 413866 America/Argentina/Jujuy
-03:00 AR 237745 America/Argentina/La_Rioja
-03:00 AR 695484 America/Argentina/Mendoza
-03:00 AR 241619 America/Argentina/Rio_Gallegos
-03:00 AR 2120781 America/Argentina/Salta
-03:00 AR 518624 America/Argentina/San_Juan
-03:00 AR 266728 America/Argentina/San_Luis
-03:00 AR 788916 America/Argentina/Tucuman
-03:00 AR 109506 America/Argentina/Ushuaia
-04:00 AW 90927 America/Aruba
-03:00 PY 3653883 America/Asuncion
-05:00 CA 15000 America/Atikokan
-03:00 BR 13131907 America/Bahia
-06:00 MX 36253 America/Bahia_Banderas
-04:00 BB 98511 America/Barbados
-03:00 BR 7977349 America/Belem
-06:00 BZ 132559 America/Belize
-04:00 CA 15000 America/Blanc-Sablon
-04:00 BR 550434 America/Boa_Vista
-05:00 CO 37243567 America/Bogota
-07:00 US 748802 America/Boise
-07:00 CA 15000 America/Cambridge_Bay
-04:00 BR 2429053 America/Campo_Grande
-05:00 MX 1328961 America/Cancun
-04:00 VE 28324666 America/Caracas
-03:00 GF 155245 America/Cayenne
-05:00 KY 44705 America/Cayman
-06:00 US 55510713 America/Chicago
-06:00 MX 1533843 America/Chihuahua
-07:00 MX 1512450 America/Ciudad_Juarez
-06:00 CR 1458629 America/Costa_Rica
-03:00 CL 62723 America/Coyhaique
-07:00 CA 15000 America/Creston
-04:00 BR 2960376 America/Cuiaba
-04:00 CW 145838 America/Curacao
+00:00 GL 15000 America/Danmarkshavn
-07:00 CA 15000 America/Dawson
-07:00 CA 21465 America/Dawson_Creek
-07:00 US 9069711 America/Denver
-05:00 US 4344725 America/Detroit
-04:00 DM 16571 America/Dominica
-06:00 CA 3518059 America/Edmonton
-05:00 BR 142900 America/Eirunepe
-06:00 SV 2571611 America/El_Salvador
-07:00 CA 15000 America/Fort_Nelson
-03:00 BR 21824546 America/Fortaleza
-04:00 CA 122883 America/Glace_Bay
-04:00 CA 15000 America/Goose_Bay
-05:00 TC 27489 America/Grand_Turk
-04:00 GD 15000 America/Grenada
-04:00 GP 250260 America/Guadeloupe
-06:00 GT 7302205 America/Guatemala
-05:00 EC 11564603 America/Guayaquil
-04:00 GY 314746 America/Guyana
-04:00 CA 843888 America/Halifax
-05:00 CU 11972822 America/Havana
-07:00 MX 2215048 America/Hermosillo
-05:00 US 2672398 America/Indiana/Indianapolis
-06:00 US 15000 America/Indiana/Knox
-05:00 US 15000 America/Indiana/Marengo
-05:00 US 15000 America/Indiana/Petersburg
-06:00 US 15000 America/Indiana/Tell_City
-05:00 US 15000 America/Indiana/Vevay
-05:00 US 15451 America/Indiana/Vincennes
-05:00 US 15000 America/Indiana/Winamac
-06:00 CA 15000 America/Inuvik
-05:00 CA 15000 America/Iqaluit
-05:00 JM 2069735 America/Jamaica
-09:00 US 31555 America/Juneau
-05:00 US 909379 America/Kentucky/Louisville
-05:00 US 15000 America/Kentucky/Monticello
-04:00 BO 6958595 America/La_Paz
-05:00 PE 21406340 America/Lima
-08:00 US 46301242 America/Los_Angeles
-04:00 SX 15000 America/Lower_Princes
-03:00 BR 4805317 America/Maceio
-06:00 NI 2621115 America/Managua
-04:00 BR 3918958 America/Manaus
-04:00 MF 15000 America/Marigot
-04:00 MQ 243860 America/Martinique
-06:00 MX 1899165 America/Matamoros
-07:00 MX 2951216 America/Mazatlan
-06:00 US 15000 America/Menominee
-06:00 MX 4154924 America/Merida
-09:00 US 15000 America/Metlakatla
-06:00 MX 61603325 America/Mexico_City
-03:00 PM 15000 America/Miquelon
-04:00 CA 381536 America/Moncton
-06:00 MX 9714766 America/Monterrey
-03:00 UY 2457462 America/Montevideo
-04:00 MS 15000 America/Montserrat
-05:00 BS 319054 America/Nassau
-05:00 US 88988896 America/New_York
-09:00 US 15000 America/Nome
-02:00 BR 15000 America/Noronha
-06:00 US 15000 America/North_Dakota/Beulah
-06:00 US 15000 America/North_Dakota/Center
-06:00 US 21382 America/North_Dakota/New_Salem
-02:00 GL 15000 America/Nuuk
-06:00 MX 50784 America/Ojinaga
-05:00 PA 1692726 America/Panama
-03:00 SR 454064 America/Paramaribo
-07:00 US 6541994 America/Phoenix
-05:00 HT 5328623 America/Port-au-Prince
-04:00 TT 456832 America/Port_of_Spain
-04:00 BR 1551818 America/Porto_Velho
-04:00 PR 1605968 America/Puerto_Rico
-03:00 CL 135935 America/Punta_Arenas
-06:00 CA 15000 America/Rankin_Inlet
-03:00 BR 8832691 America/Recife
-06:00 CA 982810 America/Regina
-06:00 CA 15000 America/Resolute
-05:00 BR 794527 America/Rio_Branco
-03:00 BR 1403419 America/Santarem
-04:00 CL 15912038 America/Santiago
-04:00 DO 7521391 America/Santo_Domingo
-03:00 BR 129186469 America/Sao_Paulo
-02:00 GL 15000 America/Scoresbysund
-09:00 US 15000 America/Sitka
-04:00 BL 15000 America/St_Barthelemy
-03:30 CA 202443 America/St_Johns
-04:00 KN 15000 America/St_Kitts
-04:00 LC 45210 America/St_Lucia
-04:00 VI 70601 America/St_Thomas
-04:00 VC 48723 America/St_Vincent
-06:00 CA 16604 America/Swift_Current
-06:00 HN 4808928 America/Tegucigalpa
-04:00 GL 15000 America/Thule
-08:00 MX 3797218 America/Tijuana
-05:00 CA 24763654 America/Toronto
-04:00 VG 15000 America/Tortola
-07:00 CA 6340886 America/Vancouver
-07:00 CA 28201 America/Whitehorse
-06:00 CA 922566 America/Winnipeg
-09:00 US 15000 America/Yakutat
+10:00 AU 15000 Antarctica/Macquarie
+01:00 SJ 15000 Arctic/Longyearbyen
+03:00 YE 6904010 Asia/Aden
+05:00 KZ 9055499 Asia/Almaty
+03:00 JO 4950859 Asia/Amman
+12:00 RU 15604 Asia/Anadyr
+05:00 KZ 282409 Asia/Aqtau
+05:00 KZ 598827 Asia/Aqtobe
+05:00 TM 2706037 Asia/Ashgabat
+05:00 KZ 388248 Asia/Atyrau
+03:00 IQ 29681856 Asia/Baghdad
+03:00 BH 815447 Asia/Bahrain
+04:00 AZ 5491302 Asia/Baku
+07:00 TH 49896297 Asia/Bangkok
+07:00 RU 1413356 Asia/Barnaul
+02:00 LB 4467748 Asia/Beirut
+06:00 KG 2233412 Asia/Bishkek
+08:00 BN 230416 Asia/Brunei
+09:00 RU 486311 Asia/Chita
+05:30 LK 4297175 Asia/Colombo
+03:00 SY 10939175 Asia/Damascus
+06:00 BD 35955225 Asia/Dhaka
+09:00 TL 311685 Asia/Dili
+04:00 AE 12931222 Asia/Dubai
+05:00 TJ 2578933 Asia/Dushanbe
+02:00 CY 109959 Asia/Famagusta
+07:00 VN 42129036 Asia/Ho_Chi_Minh
+08:00 HK 24678261 Asia/Hong_Kong
+07:00 MN 122174 Asia/Hovd
+08:00 RU 2231790 Asia/Irkutsk
+07:00 ID 68794489 Asia/Jakarta
+09:00 ID 2512221 Asia/Jayapura
+02:00 IL 7901151 Asia/Jerusalem
+04:30 AF 8764027 Asia/Kabul
+12:00 RU 247112 Asia/Kamchatka
+05:00 PK 88744953 Asia/Karachi
+05:45 NP 5913313 Asia/Kathmandu
+09:00 RU 15000 Asia/Khandyga
+05:30 IN 365373326 Asia/Kolkata
+07:00 RU 2615869 Asia/Krasnoyarsk
+08:00 MY 33322164 Asia/Kuala_Lumpur
+08:00 MY 4013140 Asia/Kuching
+03:00 KW 1662180 Asia/Kuwait
+08:00 MO 1236695 Asia/Macau
+11:00 RU 92782 Asia/Magadan
+08:00 ID 12458359 Asia/Makassar
+08:00 PH 64227523 Asia/Manila
+04:00 OM 3290021 Asia/Muscat
+02:00 CY 679420 Asia/Nicosia
+07:00 RU 2355475 Asia/Novokuznetsk
+07:00 RU 2119272 Asia/Novosibirsk
+06:00 RU 1243165 Asia/Omsk
+05:00 KZ 364799 Asia/Oral
+07:00 KH 4111780 Asia/Phnom_Penh
+07:00 ID 1819584 Asia/Pontianak
+09:00 KP 12876883 Asia/Pyongyang
+03:00 QA 1566088 Asia/Qatar
+05:00 KZ 529104 Asia/Qostanay
+05:00 KZ 511391 Asia/Qyzylorda
+03:00 SA 23913997 Asia/Riyadh
+11:00 RU 326982 Asia/Sakhalin
+05:00 UZ 3864475 Asia/Samarkand
+09:00 KR 47400555 Asia/Seoul
+08:00 CN 861293141 Asia/Shanghai
+08:00 SG 11621053 Asia/Singapore
+11:00 RU 15000 Asia/Srednekolymsk
+08:00 TW 26394699 Asia/Taipei
+05:00 UZ 7452125 Asia/Tashkent
+04:00 GE 1827911 Asia/Tbilisi
+03:30 IR 50648371 Asia/Tehran
+06:00 BT 170210 Asia/Thimphu
+09:00 JP 141330654 Asia/Tokyo
+07:00 RU 783576 Asia/Tomsk
+08:00 MN 1438738 Asia/Ulaanbaatar
+06:00 CN 12667986 Asia/Urumqi
+10:00 RU 15000 Asia/Ust-Nera
+07:00 LA 1561716 Asia/Vientiane
+10:00 RU 2534711 Asia/Vladivostok
+09:00 RU 902983 Asia/Yakutsk
+06:30 MM 18836338 Asia/Yangon
+05:00 RU 15407217 Asia/Yekaterinburg
+04:00 AM 2880620 Asia/Yerevan
-01:00 PT 20056 Atlantic/Azores
-04:00 BM 15000 Atlantic/Bermuda
+00:00 ES 2054431 Atlantic/Canary
-01:00 CV 252678 Atlantic/Cape_Verde
+00:00 FO 15000 Atlantic/Faroe
+00:00 PT 213794 Atlantic/Madeira
+00:00 IS 245356 Atlantic/Reykjavik
+00:00 SH 15000 Atlantic/St_Helena
-03:00 FK 15000 Atlantic/Stanley
+09:30 AU 1706678 Australia/Adelaide
+10:00 AU 5807246 Australia/Brisbane
+09:30 AU 17456 Australia/Broken_Hill
+09:30 AU 199509 Australia/Darwin
+08:45 AU 15000 Australia/Eucla
+10:00 AU 392450 Australia/Hobart
+10:00 AU 15000 Australia/Lindeman
+10:30 AU 15000 Australia/Lord_Howe
+10:00 AU 9304158 Australia/Melbourne
+08:00 AU 3086441 Australia/Perth
+10:00 AU 9352313 Australia/Sydney
+01:00 NL 13892513 Europe/Amsterdam
+01:00 AD 36283 Europe/Andorra
+04:00 RU 644812 Europe/Astrakhan
+02:00 GR 6286690 Europe/Athens
+01:00 RS 5756549 Europe/Belgrade
+01:00 DE 62740682 Europe/Berlin
+01:00 SK 2548401 Europe/Bratislava
+01:00 BE 9038306 Europe/Brussels
+02:00 RO 11070040 Europe/Bucharest
+01:00 HU 9366333 Europe/Budapest
+01:00 DE 15000 Europe/Busingen
+02:00 MD 1460347 Europe/Chisinau
+01:00 DK 3885672 Europe/Copenhagen
+01:00 IE 2720758 Europe/Dublin
+01:00 GI 26544 Europe/Gibraltar
+00:00 GG 16488 Europe/Guernsey
+02:00 FI 5265184 Europe/Helsinki
+00:00 IM 26218 Europe/Isle_of_Man
+03:00 TR 77554557 Europe/Istanbul
+00:00 JE 28000 Europe/Jersey
+02:00 RU 664545 Europe/Kaliningrad
+03:00 RU 782604 Europe/Kirov
+02:00 UA 35633582 Europe/Kyiv
+00:00 PT 6372176 Europe/Lisbon
+01:00 SI 552127 Europe/Ljubljana
+00:00 GB 57817786 Europe/London
+01:00 LU 131322 Europe/Luxembourg
+01:00 ES 42918247 Europe/Madrid
+01:00 MT 141714 Europe/Malta
+02:00 AX 15000 Europe/Mariehamn
+03:00 BY 6105410 Europe/Minsk
+01:00 MC 48977 Europe/Monaco
+03:00 RU 69342062 Europe/Moscow
+01:00 NO 3296711 Europe/Oslo
+01:00 FR 33093827 Europe/Paris
+01:00 ME 398494 Europe/Podgorica
+01:00 CZ 5924565 Europe/Prague
+02:00 LV 1206422 Europe/Riga
+01:00 IT 34033666 Europe/Rome
+04:00 RU 3546813 Europe/Samara
+01:00 SM 15000 Europe/San_Marino
+01:00 BA 1905798 Europe/Sarajevo
+04:00 RU 1705529 Europe/Saratov
+03:00 UA 1620906 Europe/Simferopol
+01:00 MK 1754303 Europe/Skopje
+02:00 BG 4111057 Europe/Sofia
+01:00 SE 7149541 Europe/Stockholm
+02:00 EE 1106943 Europe/Tallinn
+01:00 AL 1629643 Europe/Tirane
+04:00 RU 814189 Europe/Ulyanovsk
+01:00 LI 15000 Europe/Vaduz
+01:00 VA 15000 Europe/Vatican
+01:00 AT 5274040 Europe/Vienna
+02:00 LT 2103133 Europe/Vilnius
+03:00 RU 1837053 Europe/Volgograd
+01:00 PL 22720110 Europe/Warsaw
+01:00 HR 1650334 Europe/Zagreb
+01:00 CH 3461664 Europe/Zurich
+03:00 MG 6115943 Indian/Antananarivo
+06:00 IO 15000 Indian/Chagos
+07:00 CX 15000 Indian/Christmas
+06:30 CC 15000 Indian/Cocos
+03:00 KM 118353 Indian/Comoro
+05:00 TF 15000 Indian/Kerguelen
+04:00 SC 22881 Indian/Mahe
+05:00 MV 103693 Indian/Maldives
+04:00 MU 701493 Indian/Mauritius
+03:00 YT 138967 Indian/Mayotte
+04:00 RE 804329 Indian/Reunion
+13:00 WS 40407 Pacific/Apia
+12:00 NZ 5203989 Pacific/Auckland
+11:00 PG 40266 Pacific/Bougainville
+12:45 NZ 15000 Pacific/Chatham
+10:00 FM 15000 Pacific/Chuuk
-06:00 CL 15000 Pacific/Easter
+11:00 VU 35901 Pacific/Efate
+12:00 FJ 334403 Pacific/Fiji
+12:00 TV 15000 Pacific/Funafuti
-06:00 EC 15000 Pacific/Galapagos
-09:00 PF 15000 Pacific/Gambier
+11:00 SB 194707 Pacific/Guadalcanal
+10:00 GU 121094 Pacific/Guam
-10:00 US 1569453 Pacific/Honolulu
+13:00 KI 15000 Pacific/Kanton
+14:00 KI 15000 Pacific/Kiritimati
+11:00 FM 15000 Pacific/Kosrae
+12:00 MH 15000 Pacific/Kwajalein
+12:00 MH 45701 Pacific/Majuro
-09:30 PF 15000 Pacific/Marquesas
+12:00 NR 15000 Pacific/Nauru
-11:00 NU 15000 Pacific/Niue
+11:00 NF 15000 Pacific/Norfolk
+11:00 NC 137086 Pacific/Noumea
-11:00 AS 15000 Pacific/Pago_Pago
+09:00 PW 15000 Pacific/Palau
-08:00 PN 15000 Pacific/Pitcairn
+11:00 FM 15000 Pacific/Pohnpei
+10:00 PG 588589 Pacific/Port_Moresby
-10:00 CK 15000 Pacific/Rarotonga
+10:00 MP 48220 Pacific/Saipan
-10:00 PF 81958 Pacific/Tahiti
+12:00 KI 40311 Pacific/Tarawa
+13:00 TO 22400 Pacific/Tongatapu
+12:00 WF 15000 Pacific/Wallis
1 offset territory weight zone
2 +00:00 CI 17496811 Africa/Abidjan
3 +00:00 GH 11277813 Africa/Accra
4 +03:00 ET 18690487 Africa/Addis_Ababa
5 +01:00 DZ 20111539 Africa/Algiers
6 +03:00 ER 798575 Africa/Asmara
7 +00:00 ML 7673493 Africa/Bamako
8 +01:00 CF 2582076 Africa/Bangui
9 +00:00 GM 1305981 Africa/Banjul
10 +00:00 GW 904776 Africa/Bissau
11 +02:00 MW 3030905 Africa/Blantyre
12 +01:00 CG 3748808 Africa/Brazzaville
13 +02:00 BI 1251675 Africa/Bujumbura
14 +02:00 EG 47242427 Africa/Cairo
15 +00:00 MA 22808531 Africa/Casablanca
16 +01:00 ES 85985 Africa/Ceuta
17 +00:00 GN 6679241 Africa/Conakry
18 +00:00 SN 10055356 Africa/Dakar
19 +03:00 TZ 21350525 Africa/Dar_es_Salaam
20 +03:00 DJ 1316108 Africa/Djibouti
21 +01:00 CM 8330801 Africa/Douala
22 +00:00 EH 374107 Africa/El_Aaiun
23 +00:00 SL 1752243 Africa/Freetown
24 +02:00 BW 1262880 Africa/Gaborone
25 +02:00 ZW 4508424 Africa/Harare
26 +02:00 ZA 47939803 Africa/Johannesburg
27 +02:00 SS 1679674 Africa/Juba
28 +03:00 UG 9664318 Africa/Kampala
29 +02:00 SD 11781926 Africa/Khartoum
30 +02:00 RW 2910190 Africa/Kigali
31 +01:00 CD 20651243 Africa/Kinshasa
32 +01:00 NG 75725576 Africa/Lagos
33 +01:00 GA 1731692 Africa/Libreville
34 +00:00 TG 3089219 Africa/Lome
35 +01:00 AO 23567341 Africa/Luanda
36 +02:00 CD 16660579 Africa/Lubumbashi
37 +02:00 ZM 8422414 Africa/Lusaka
38 +01:00 GQ 355840 Africa/Malabo
39 +02:00 MZ 8598836 Africa/Maputo
40 +02:00 LS 739682 Africa/Maseru
41 +02:00 SZ 191312 Africa/Mbabane
42 +03:00 SO 6165052 Africa/Mogadishu
43 +00:00 LR 2127307 Africa/Monrovia
44 +03:00 KE 16920989 Africa/Nairobi
45 +01:00 TD 3363418 Africa/Ndjamena
46 +01:00 NE 3689982 Africa/Niamey
47 +00:00 MR 2157288 Africa/Nouakchott
48 +00:00 BF 6125427 Africa/Ouagadougou
49 +01:00 BJ 4001576 Africa/Porto-Novo
50 +00:00 ST 53300 Africa/Sao_Tome
51 +02:00 LY 6105792 Africa/Tripoli
52 +01:00 TN 7314557 Africa/Tunis
53 +02:00 NA 983097 Africa/Windhoek
54 -10:00 US 15000 America/Adak
55 -09:00 US 366200 America/Anchorage
56 -04:00 AI 15000 America/Anguilla
57 -04:00 AG 51737 America/Antigua
58 -03:00 BR 858988 America/Araguaina
59 -03:00 AR 11817784 America/Argentina/Buenos_Aires
60 -03:00 AR 580969 America/Argentina/Catamarca
61 -03:00 AR 8998034 America/Argentina/Cordoba
62 -03:00 AR 413866 America/Argentina/Jujuy
63 -03:00 AR 237745 America/Argentina/La_Rioja
64 -03:00 AR 695484 America/Argentina/Mendoza
65 -03:00 AR 241619 America/Argentina/Rio_Gallegos
66 -03:00 AR 2120781 America/Argentina/Salta
67 -03:00 AR 518624 America/Argentina/San_Juan
68 -03:00 AR 266728 America/Argentina/San_Luis
69 -03:00 AR 788916 America/Argentina/Tucuman
70 -03:00 AR 109506 America/Argentina/Ushuaia
71 -04:00 AW 90927 America/Aruba
72 -03:00 PY 3653883 America/Asuncion
73 -05:00 CA 15000 America/Atikokan
74 -03:00 BR 13131907 America/Bahia
75 -06:00 MX 36253 America/Bahia_Banderas
76 -04:00 BB 98511 America/Barbados
77 -03:00 BR 7977349 America/Belem
78 -06:00 BZ 132559 America/Belize
79 -04:00 CA 15000 America/Blanc-Sablon
80 -04:00 BR 550434 America/Boa_Vista
81 -05:00 CO 37243567 America/Bogota
82 -07:00 US 748802 America/Boise
83 -07:00 CA 15000 America/Cambridge_Bay
84 -04:00 BR 2429053 America/Campo_Grande
85 -05:00 MX 1328961 America/Cancun
86 -04:00 VE 28324666 America/Caracas
87 -03:00 GF 155245 America/Cayenne
88 -05:00 KY 44705 America/Cayman
89 -06:00 US 55510713 America/Chicago
90 -06:00 MX 1533843 America/Chihuahua
91 -07:00 MX 1512450 America/Ciudad_Juarez
92 -06:00 CR 1458629 America/Costa_Rica
93 -03:00 CL 62723 America/Coyhaique
94 -07:00 CA 15000 America/Creston
95 -04:00 BR 2960376 America/Cuiaba
96 -04:00 CW 145838 America/Curacao
97 +00:00 GL 15000 America/Danmarkshavn
98 -07:00 CA 15000 America/Dawson
99 -07:00 CA 21465 America/Dawson_Creek
100 -07:00 US 9069711 America/Denver
101 -05:00 US 4344725 America/Detroit
102 -04:00 DM 16571 America/Dominica
103 -06:00 CA 3518059 America/Edmonton
104 -05:00 BR 142900 America/Eirunepe
105 -06:00 SV 2571611 America/El_Salvador
106 -07:00 CA 15000 America/Fort_Nelson
107 -03:00 BR 21824546 America/Fortaleza
108 -04:00 CA 122883 America/Glace_Bay
109 -04:00 CA 15000 America/Goose_Bay
110 -05:00 TC 27489 America/Grand_Turk
111 -04:00 GD 15000 America/Grenada
112 -04:00 GP 250260 America/Guadeloupe
113 -06:00 GT 7302205 America/Guatemala
114 -05:00 EC 11564603 America/Guayaquil
115 -04:00 GY 314746 America/Guyana
116 -04:00 CA 843888 America/Halifax
117 -05:00 CU 11972822 America/Havana
118 -07:00 MX 2215048 America/Hermosillo
119 -05:00 US 2672398 America/Indiana/Indianapolis
120 -06:00 US 15000 America/Indiana/Knox
121 -05:00 US 15000 America/Indiana/Marengo
122 -05:00 US 15000 America/Indiana/Petersburg
123 -06:00 US 15000 America/Indiana/Tell_City
124 -05:00 US 15000 America/Indiana/Vevay
125 -05:00 US 15451 America/Indiana/Vincennes
126 -05:00 US 15000 America/Indiana/Winamac
127 -06:00 CA 15000 America/Inuvik
128 -05:00 CA 15000 America/Iqaluit
129 -05:00 JM 2069735 America/Jamaica
130 -09:00 US 31555 America/Juneau
131 -05:00 US 909379 America/Kentucky/Louisville
132 -05:00 US 15000 America/Kentucky/Monticello
133 -04:00 BO 6958595 America/La_Paz
134 -05:00 PE 21406340 America/Lima
135 -08:00 US 46301242 America/Los_Angeles
136 -04:00 SX 15000 America/Lower_Princes
137 -03:00 BR 4805317 America/Maceio
138 -06:00 NI 2621115 America/Managua
139 -04:00 BR 3918958 America/Manaus
140 -04:00 MF 15000 America/Marigot
141 -04:00 MQ 243860 America/Martinique
142 -06:00 MX 1899165 America/Matamoros
143 -07:00 MX 2951216 America/Mazatlan
144 -06:00 US 15000 America/Menominee
145 -06:00 MX 4154924 America/Merida
146 -09:00 US 15000 America/Metlakatla
147 -06:00 MX 61603325 America/Mexico_City
148 -03:00 PM 15000 America/Miquelon
149 -04:00 CA 381536 America/Moncton
150 -06:00 MX 9714766 America/Monterrey
151 -03:00 UY 2457462 America/Montevideo
152 -04:00 MS 15000 America/Montserrat
153 -05:00 BS 319054 America/Nassau
154 -05:00 US 88988896 America/New_York
155 -09:00 US 15000 America/Nome
156 -02:00 BR 15000 America/Noronha
157 -06:00 US 15000 America/North_Dakota/Beulah
158 -06:00 US 15000 America/North_Dakota/Center
159 -06:00 US 21382 America/North_Dakota/New_Salem
160 -02:00 GL 15000 America/Nuuk
161 -06:00 MX 50784 America/Ojinaga
162 -05:00 PA 1692726 America/Panama
163 -03:00 SR 454064 America/Paramaribo
164 -07:00 US 6541994 America/Phoenix
165 -05:00 HT 5328623 America/Port-au-Prince
166 -04:00 TT 456832 America/Port_of_Spain
167 -04:00 BR 1551818 America/Porto_Velho
168 -04:00 PR 1605968 America/Puerto_Rico
169 -03:00 CL 135935 America/Punta_Arenas
170 -06:00 CA 15000 America/Rankin_Inlet
171 -03:00 BR 8832691 America/Recife
172 -06:00 CA 982810 America/Regina
173 -06:00 CA 15000 America/Resolute
174 -05:00 BR 794527 America/Rio_Branco
175 -03:00 BR 1403419 America/Santarem
176 -04:00 CL 15912038 America/Santiago
177 -04:00 DO 7521391 America/Santo_Domingo
178 -03:00 BR 129186469 America/Sao_Paulo
179 -02:00 GL 15000 America/Scoresbysund
180 -09:00 US 15000 America/Sitka
181 -04:00 BL 15000 America/St_Barthelemy
182 -03:30 CA 202443 America/St_Johns
183 -04:00 KN 15000 America/St_Kitts
184 -04:00 LC 45210 America/St_Lucia
185 -04:00 VI 70601 America/St_Thomas
186 -04:00 VC 48723 America/St_Vincent
187 -06:00 CA 16604 America/Swift_Current
188 -06:00 HN 4808928 America/Tegucigalpa
189 -04:00 GL 15000 America/Thule
190 -08:00 MX 3797218 America/Tijuana
191 -05:00 CA 24763654 America/Toronto
192 -04:00 VG 15000 America/Tortola
193 -07:00 CA 6340886 America/Vancouver
194 -07:00 CA 28201 America/Whitehorse
195 -06:00 CA 922566 America/Winnipeg
196 -09:00 US 15000 America/Yakutat
197 +10:00 AU 15000 Antarctica/Macquarie
198 +01:00 SJ 15000 Arctic/Longyearbyen
199 +03:00 YE 6904010 Asia/Aden
200 +05:00 KZ 9055499 Asia/Almaty
201 +03:00 JO 4950859 Asia/Amman
202 +12:00 RU 15604 Asia/Anadyr
203 +05:00 KZ 282409 Asia/Aqtau
204 +05:00 KZ 598827 Asia/Aqtobe
205 +05:00 TM 2706037 Asia/Ashgabat
206 +05:00 KZ 388248 Asia/Atyrau
207 +03:00 IQ 29681856 Asia/Baghdad
208 +03:00 BH 815447 Asia/Bahrain
209 +04:00 AZ 5491302 Asia/Baku
210 +07:00 TH 49896297 Asia/Bangkok
211 +07:00 RU 1413356 Asia/Barnaul
212 +02:00 LB 4467748 Asia/Beirut
213 +06:00 KG 2233412 Asia/Bishkek
214 +08:00 BN 230416 Asia/Brunei
215 +09:00 RU 486311 Asia/Chita
216 +05:30 LK 4297175 Asia/Colombo
217 +03:00 SY 10939175 Asia/Damascus
218 +06:00 BD 35955225 Asia/Dhaka
219 +09:00 TL 311685 Asia/Dili
220 +04:00 AE 12931222 Asia/Dubai
221 +05:00 TJ 2578933 Asia/Dushanbe
222 +02:00 CY 109959 Asia/Famagusta
223 +07:00 VN 42129036 Asia/Ho_Chi_Minh
224 +08:00 HK 24678261 Asia/Hong_Kong
225 +07:00 MN 122174 Asia/Hovd
226 +08:00 RU 2231790 Asia/Irkutsk
227 +07:00 ID 68794489 Asia/Jakarta
228 +09:00 ID 2512221 Asia/Jayapura
229 +02:00 IL 7901151 Asia/Jerusalem
230 +04:30 AF 8764027 Asia/Kabul
231 +12:00 RU 247112 Asia/Kamchatka
232 +05:00 PK 88744953 Asia/Karachi
233 +05:45 NP 5913313 Asia/Kathmandu
234 +09:00 RU 15000 Asia/Khandyga
235 +05:30 IN 365373326 Asia/Kolkata
236 +07:00 RU 2615869 Asia/Krasnoyarsk
237 +08:00 MY 33322164 Asia/Kuala_Lumpur
238 +08:00 MY 4013140 Asia/Kuching
239 +03:00 KW 1662180 Asia/Kuwait
240 +08:00 MO 1236695 Asia/Macau
241 +11:00 RU 92782 Asia/Magadan
242 +08:00 ID 12458359 Asia/Makassar
243 +08:00 PH 64227523 Asia/Manila
244 +04:00 OM 3290021 Asia/Muscat
245 +02:00 CY 679420 Asia/Nicosia
246 +07:00 RU 2355475 Asia/Novokuznetsk
247 +07:00 RU 2119272 Asia/Novosibirsk
248 +06:00 RU 1243165 Asia/Omsk
249 +05:00 KZ 364799 Asia/Oral
250 +07:00 KH 4111780 Asia/Phnom_Penh
251 +07:00 ID 1819584 Asia/Pontianak
252 +09:00 KP 12876883 Asia/Pyongyang
253 +03:00 QA 1566088 Asia/Qatar
254 +05:00 KZ 529104 Asia/Qostanay
255 +05:00 KZ 511391 Asia/Qyzylorda
256 +03:00 SA 23913997 Asia/Riyadh
257 +11:00 RU 326982 Asia/Sakhalin
258 +05:00 UZ 3864475 Asia/Samarkand
259 +09:00 KR 47400555 Asia/Seoul
260 +08:00 CN 861293141 Asia/Shanghai
261 +08:00 SG 11621053 Asia/Singapore
262 +11:00 RU 15000 Asia/Srednekolymsk
263 +08:00 TW 26394699 Asia/Taipei
264 +05:00 UZ 7452125 Asia/Tashkent
265 +04:00 GE 1827911 Asia/Tbilisi
266 +03:30 IR 50648371 Asia/Tehran
267 +06:00 BT 170210 Asia/Thimphu
268 +09:00 JP 141330654 Asia/Tokyo
269 +07:00 RU 783576 Asia/Tomsk
270 +08:00 MN 1438738 Asia/Ulaanbaatar
271 +06:00 CN 12667986 Asia/Urumqi
272 +10:00 RU 15000 Asia/Ust-Nera
273 +07:00 LA 1561716 Asia/Vientiane
274 +10:00 RU 2534711 Asia/Vladivostok
275 +09:00 RU 902983 Asia/Yakutsk
276 +06:30 MM 18836338 Asia/Yangon
277 +05:00 RU 15407217 Asia/Yekaterinburg
278 +04:00 AM 2880620 Asia/Yerevan
279 -01:00 PT 20056 Atlantic/Azores
280 -04:00 BM 15000 Atlantic/Bermuda
281 +00:00 ES 2054431 Atlantic/Canary
282 -01:00 CV 252678 Atlantic/Cape_Verde
283 +00:00 FO 15000 Atlantic/Faroe
284 +00:00 PT 213794 Atlantic/Madeira
285 +00:00 IS 245356 Atlantic/Reykjavik
286 +00:00 SH 15000 Atlantic/St_Helena
287 -03:00 FK 15000 Atlantic/Stanley
288 +09:30 AU 1706678 Australia/Adelaide
289 +10:00 AU 5807246 Australia/Brisbane
290 +09:30 AU 17456 Australia/Broken_Hill
291 +09:30 AU 199509 Australia/Darwin
292 +08:45 AU 15000 Australia/Eucla
293 +10:00 AU 392450 Australia/Hobart
294 +10:00 AU 15000 Australia/Lindeman
295 +10:30 AU 15000 Australia/Lord_Howe
296 +10:00 AU 9304158 Australia/Melbourne
297 +08:00 AU 3086441 Australia/Perth
298 +10:00 AU 9352313 Australia/Sydney
299 +01:00 NL 13892513 Europe/Amsterdam
300 +01:00 AD 36283 Europe/Andorra
301 +04:00 RU 644812 Europe/Astrakhan
302 +02:00 GR 6286690 Europe/Athens
303 +01:00 RS 5756549 Europe/Belgrade
304 +01:00 DE 62740682 Europe/Berlin
305 +01:00 SK 2548401 Europe/Bratislava
306 +01:00 BE 9038306 Europe/Brussels
307 +02:00 RO 11070040 Europe/Bucharest
308 +01:00 HU 9366333 Europe/Budapest
309 +01:00 DE 15000 Europe/Busingen
310 +02:00 MD 1460347 Europe/Chisinau
311 +01:00 DK 3885672 Europe/Copenhagen
312 +01:00 IE 2720758 Europe/Dublin
313 +01:00 GI 26544 Europe/Gibraltar
314 +00:00 GG 16488 Europe/Guernsey
315 +02:00 FI 5265184 Europe/Helsinki
316 +00:00 IM 26218 Europe/Isle_of_Man
317 +03:00 TR 77554557 Europe/Istanbul
318 +00:00 JE 28000 Europe/Jersey
319 +02:00 RU 664545 Europe/Kaliningrad
320 +03:00 RU 782604 Europe/Kirov
321 +02:00 UA 35633582 Europe/Kyiv
322 +00:00 PT 6372176 Europe/Lisbon
323 +01:00 SI 552127 Europe/Ljubljana
324 +00:00 GB 57817786 Europe/London
325 +01:00 LU 131322 Europe/Luxembourg
326 +01:00 ES 42918247 Europe/Madrid
327 +01:00 MT 141714 Europe/Malta
328 +02:00 AX 15000 Europe/Mariehamn
329 +03:00 BY 6105410 Europe/Minsk
330 +01:00 MC 48977 Europe/Monaco
331 +03:00 RU 69342062 Europe/Moscow
332 +01:00 NO 3296711 Europe/Oslo
333 +01:00 FR 33093827 Europe/Paris
334 +01:00 ME 398494 Europe/Podgorica
335 +01:00 CZ 5924565 Europe/Prague
336 +02:00 LV 1206422 Europe/Riga
337 +01:00 IT 34033666 Europe/Rome
338 +04:00 RU 3546813 Europe/Samara
339 +01:00 SM 15000 Europe/San_Marino
340 +01:00 BA 1905798 Europe/Sarajevo
341 +04:00 RU 1705529 Europe/Saratov
342 +03:00 UA 1620906 Europe/Simferopol
343 +01:00 MK 1754303 Europe/Skopje
344 +02:00 BG 4111057 Europe/Sofia
345 +01:00 SE 7149541 Europe/Stockholm
346 +02:00 EE 1106943 Europe/Tallinn
347 +01:00 AL 1629643 Europe/Tirane
348 +04:00 RU 814189 Europe/Ulyanovsk
349 +01:00 LI 15000 Europe/Vaduz
350 +01:00 VA 15000 Europe/Vatican
351 +01:00 AT 5274040 Europe/Vienna
352 +02:00 LT 2103133 Europe/Vilnius
353 +03:00 RU 1837053 Europe/Volgograd
354 +01:00 PL 22720110 Europe/Warsaw
355 +01:00 HR 1650334 Europe/Zagreb
356 +01:00 CH 3461664 Europe/Zurich
357 +03:00 MG 6115943 Indian/Antananarivo
358 +06:00 IO 15000 Indian/Chagos
359 +07:00 CX 15000 Indian/Christmas
360 +06:30 CC 15000 Indian/Cocos
361 +03:00 KM 118353 Indian/Comoro
362 +05:00 TF 15000 Indian/Kerguelen
363 +04:00 SC 22881 Indian/Mahe
364 +05:00 MV 103693 Indian/Maldives
365 +04:00 MU 701493 Indian/Mauritius
366 +03:00 YT 138967 Indian/Mayotte
367 +04:00 RE 804329 Indian/Reunion
368 +13:00 WS 40407 Pacific/Apia
369 +12:00 NZ 5203989 Pacific/Auckland
370 +11:00 PG 40266 Pacific/Bougainville
371 +12:45 NZ 15000 Pacific/Chatham
372 +10:00 FM 15000 Pacific/Chuuk
373 -06:00 CL 15000 Pacific/Easter
374 +11:00 VU 35901 Pacific/Efate
375 +12:00 FJ 334403 Pacific/Fiji
376 +12:00 TV 15000 Pacific/Funafuti
377 -06:00 EC 15000 Pacific/Galapagos
378 -09:00 PF 15000 Pacific/Gambier
379 +11:00 SB 194707 Pacific/Guadalcanal
380 +10:00 GU 121094 Pacific/Guam
381 -10:00 US 1569453 Pacific/Honolulu
382 +13:00 KI 15000 Pacific/Kanton
383 +14:00 KI 15000 Pacific/Kiritimati
384 +11:00 FM 15000 Pacific/Kosrae
385 +12:00 MH 15000 Pacific/Kwajalein
386 +12:00 MH 45701 Pacific/Majuro
387 -09:30 PF 15000 Pacific/Marquesas
388 +12:00 NR 15000 Pacific/Nauru
389 -11:00 NU 15000 Pacific/Niue
390 +11:00 NF 15000 Pacific/Norfolk
391 +11:00 NC 137086 Pacific/Noumea
392 -11:00 AS 15000 Pacific/Pago_Pago
393 +09:00 PW 15000 Pacific/Palau
394 -08:00 PN 15000 Pacific/Pitcairn
395 +11:00 FM 15000 Pacific/Pohnpei
396 +10:00 PG 588589 Pacific/Port_Moresby
397 -10:00 CK 15000 Pacific/Rarotonga
398 +10:00 MP 48220 Pacific/Saipan
399 -10:00 PF 81958 Pacific/Tahiti
400 +12:00 KI 40311 Pacific/Tarawa
401 +13:00 TO 22400 Pacific/Tongatapu
402 +12:00 WF 15000 Pacific/Wallis
data/misc/tld.json
-1
View File
@@ -1 +0,0 @@
{ "format": "{tld}", "rows": "tld.tsv", "key": "tld", "name": "unicode" }
data/misc/tld.tsv
-1439
View File
File diff suppressed because it is too large Load Diff
data/misc/useragent.json
+1 -1
View File
@@ -1 +1 @@
{ "format": "{ua}", "rows": "useragent.tsv" }
["Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36", "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:124.0) Gecko/20100101 Firefox/124.0", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:123.0) Gecko/20100101 Firefox/123.0", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Safari/605.1.15", "Mozilla/5.0 (iPhone; CPU iPhone OS 17_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Mobile/15E148 Safari/604.1", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Edg/124.0.0.0"]
data/misc/useragent.tsv
-97
View File
@@ -1,97 +0,0 @@
browser device os ua
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Mobile Safari/537.36
Chrome mobile Android Mozilla/5.0 (Linux; Android 12; Pixel 6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Mobile Safari/537.36
Chrome desktop ChromeOS Mozilla/5.0 (X11; CrOS x86_64 14541.0.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.5938.132 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 YaBrowser/26.8.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.7922.34 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
Chrome mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 26_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/152.0.7977.64 Mobile/15E148 Safari/604.1
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36 Edg/151.0.0.0
Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36 Edg/152.0.0.0
Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36 Edg/153.0.0.0
Edge desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36 Edg/152.0.0.0
Firefox desktop Linux Mozilla/5.0 (X11; Linux x86_64; rv:155.0) Gecko/20100101 Firefox/155.0
Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:126.0) Gecko/20100101 Firefox/126.0
Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:154.0) Gecko/20100101 Firefox/154.0
Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:155.0) Gecko/20100101 Firefox/155.0
Firefox desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:154.0) Gecko/20100101 Firefox/154.0
Firefox desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:155.0) Gecko/20100101 Firefox/155.0
Opera desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36 OPR/135.0.0.0
Opera desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36 OPR/134.0.0.0
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.5 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.7.5 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.2 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.3 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5.2 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.1 Mobile/15E148 Safari/604.1
Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/27.0 Mobile/15E148 Safari/604.1
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.6 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.2 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5.2 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.1 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.2 Safari/605.1.15
Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/27.0 Safari/605.1.15
Samsung Internet mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/30.0 Chrome/143.0.0.0 Mobile Safari/537.36
1 browser device os ua
2 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Mobile Safari/537.36
3 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Mobile Safari/537.36
4 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Mobile Safari/537.36
5 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Mobile Safari/537.36
6 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Mobile Safari/537.36
7 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
8 Chrome mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Mobile Safari/537.36
9 Chrome mobile Android Mozilla/5.0 (Linux; Android 12; Pixel 6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Mobile Safari/537.36
10 Chrome desktop ChromeOS Mozilla/5.0 (X11; CrOS x86_64 14541.0.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
11 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
12 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
13 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
14 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
15 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
16 Chrome desktop Linux Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
17 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36
18 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.5938.132 Safari/537.36
19 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36
20 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
21 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36
22 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
23 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
24 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
25 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36
26 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36
27 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
28 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
29 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36
30 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
31 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36
32 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36
33 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
34 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36
35 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36
36 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
37 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36
38 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36
39 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
40 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36
41 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
42 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 YaBrowser/26.8.0.0 Safari/537.36
43 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
44 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.7922.34 Safari/537.36
45 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
46 Chrome desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
47 Chrome mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 26_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/152.0.7977.64 Mobile/15E148 Safari/604.1
48 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36
49 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
50 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36
51 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36
52 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
53 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36
54 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
55 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36
56 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
57 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36
58 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
59 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36
60 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/147.0.0.0 Safari/537.36
61 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36
62 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36
63 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36
64 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36
65 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36
66 Chrome desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36
67 Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36 Edg/151.0.0.0
68 Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36 Edg/152.0.0.0
69 Edge desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/153.0.0.0 Safari/537.36 Edg/153.0.0.0
70 Edge desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36 Edg/152.0.0.0
71 Firefox desktop Linux Mozilla/5.0 (X11; Linux x86_64; rv:155.0) Gecko/20100101 Firefox/155.0
72 Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:126.0) Gecko/20100101 Firefox/126.0
73 Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:154.0) Gecko/20100101 Firefox/154.0
74 Firefox desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:155.0) Gecko/20100101 Firefox/155.0
75 Firefox desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:154.0) Gecko/20100101 Firefox/154.0
76 Firefox desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:155.0) Gecko/20100101 Firefox/155.0
77 Opera desktop Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36 OPR/135.0.0.0
78 Opera desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36 OPR/134.0.0.0
79 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.5 Mobile/15E148 Safari/604.1
80 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.7.5 Mobile/15E148 Safari/604.1
81 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.2 Mobile/15E148 Safari/604.1
82 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.3 Mobile/15E148 Safari/604.1
83 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Mobile/15E148 Safari/604.1
84 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5.2 Mobile/15E148 Safari/604.1
85 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6 Mobile/15E148 Safari/604.1
86 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.1 Mobile/15E148 Safari/604.1
87 Safari mobile iOS Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/27.0 Mobile/15E148 Safari/604.1
88 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Safari/605.1.15
89 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.6 Safari/605.1.15
90 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.2 Safari/605.1.15
91 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5 Safari/605.1.15
92 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.5.2 Safari/605.1.15
93 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6 Safari/605.1.15
94 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.1 Safari/605.1.15
95 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.6.2 Safari/605.1.15
96 Safari desktop macOS Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/27.0 Safari/605.1.15
97 Samsung Internet mobile Android Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/30.0 Chrome/143.0.0.0 Mobile Safari/537.36
data/sv_SE/address.json
+18 -4
View File
@@ -1,7 +1,21 @@
{
"format": "{street} {street-number}\n{postal-code} {locality}",
"street": "{/geo.SE.address.street}",
"street-number": "{/geo.SE.address.street-number}",
"postal-code": "{/geo.SE.address.postal-code}",
"locality": "{/geo.SE.address.locality}"
"street": [
{
"format": "{first}{last}",
"first": ["Ängs", "Bergs", "Björk", "Drottning", "Eke", "Furu", "Hamn", "Köpmans", "Kungs", "Linné", "Norra", "Nybro", "Oden", "Öster", "Park", "Skogs", "Skol", "Slotts", "Söder", "Stations", "Stor", "Strand", "Trädgårds", "Vasa", "Väster"],
"last": ["gatan", "vägen", "stigen", "gränd", "backen", "torget", "allén"]
},
["Avenyn", "Birger Jarlsgatan", "Promenaden", "Staby", "Sveavägen", "Vintjärn"]
],
"street-number": [
"{int(1,9)}",
"{int(10,99)}",
{ "format": "{int(100,999)}", "weight": 0.2 },
{ "format": "{int(1,9)}{upper(1)}", "weight": 0.2 },
{ "format": "{int(10,99)}{upper(1)}", "weight": 0.1 },
{ "format": "{int(100,999)}{upper(1)}", "weight": 0.05 }
],
"postal-code": "{int(100,999)} {int(10,99)}",
"locality": ["Alingsås", "Alvesta", "Ängelholm", "Arboga", "Arvika", "Avesta", "Boden", "Bollnäs", "Borås", "Borlänge", "Enköping", "Eskilstuna", "Eslöv", "Fagersta", "Falkenberg", "Falköping", "Falun", "Finspång", "Gällivare", "Gävle", "Göteborg", "Halmstad", "Haparanda", "Härnösand", "Hässleholm", "Helsingborg", "Huddinge", "Hudiksvall", "Jönköping", "Kalmar", "Karlshamn", "Karlskoga", "Karlskrona", "Karlstad", "Katrineholm", "Kiruna", "Köping", "Kramfors", "Kristianstad", "Kristinehamn", "Landskrona", "Lidingö", "Lidköping", "Lindesberg", "Linköping", "Ljungby", "Ludvika", "Luleå", "Lund", "Lycksele", "Malmö", "Mariestad", "Mjölby", "Mölndal", "Mora", "Motala", "Nacka", "Nässjö", "Norrköping", "Norrtälje", "Nyköping", "Nynäshamn", "Örebro", "Örnsköldsvik", "Oskarshamn", "Östersund", "Piteå", "Rabbalshede", "Ronneby", "Säffle", "Sandviken", "Sävsjö", "Sigtuna", "Skara", "Skellefteå", "Skövde", "Söderhamn", "Södertälje", "Sollentuna", "Solna", "Sölvesborg", "Stockholm", "Strängnäs", "Sundbyberg", "Sundsvall", "Täby", "Tierp", "Tranås", "Trelleborg", "Trollhättan", "Uddevalla", "Ulricehamn", "Umeå", "Upplands Väsby", "Uppsala", "Vänersborg", "Varberg", "Värnamo", "Västerås", "Västervik", "Växjö", "Vetlanda", "Vimmerby", "Visby", "Ystad"]
}

Some files were not shown because too many files have changed in this diff Show More