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denoland-deno/std/encoding/README.md

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# encoding
Helper module for dealing with external data structures.
- [`ascii85`](#ascii85)
- [`base32`](#base32)
- [`binary`](#binary)
- [`csv`](#csv)
- [`toml`](#toml)
- [`yaml`](#yaml)
## Binary
Implements equivalent methods to Go's `encoding/binary` package.
Available Functions:
```typescript
sizeof(dataType: RawTypes): number
getNBytes(r: Deno.Reader, n: number): Promise<Uint8Array>
varnum(b: Uint8Array, o: VarnumOptions = {}): number | null
varbig(b: Uint8Array, o: VarbigOptions = {}): bigint | null
putVarnum(b: Uint8Array, x: number, o: VarnumOptions = {}): number
putVarbig(b: Uint8Array, x: bigint, o: VarbigOptions = {}): number
readVarnum(r: Deno.Reader, o: VarnumOptions = {}): Promise<number>
readVarbig(r: Deno.Reader, o: VarbigOptions = {}): Promise<bigint>
writeVarnum(w: Deno.Writer, x: number, o: VarnumOptions = {}): Promise<number>
writeVarbig(w: Deno.Writer, x: bigint, o: VarbigOptions = {}): Promise<number>
```
## CSV
### API
#### `readMatrix`
```ts
(reader: BufReader, opt: ReadOptions = {
comma: ",",
trimLeadingSpace: false,
lazyQuotes: false,
}): Promise<string[][]>
```
Parse the CSV from the `reader` with the options provided and return
`string[][]`.
#### `parse`
```ts
(input: string | BufReader, opt: ParseOptions = { skipFirstRow: false }): Promise<unknown[]>
```
Parse the CSV string/buffer with the options provided. The result of this
function is as follows:
- If you don't provide `opt.skipFirstRow`, `opt.parse`, and `opt.columns`, it
returns `string[][]`.
- If you provide `opt.skipFirstRow` or `opt.columns` but not `opt.parse`, it
returns `object[]`.
- If you provide `opt.parse`, it returns an array where each element is the
value returned from `opt.parse`.
##### `ParseOptions`
- **`skipFirstRow: boolean;`**: If you provide `skipFirstRow: true` and
`columns`, the first line will be skipped. If you provide `skipFirstRow: true`
but not `columns`, the first line will be skipped and used as header
definitions.
- **`columns: string[] | HeaderOptions[];`**: If you provide `string[]` or
`ColumnOptions[]`, those names will be used for header definition.
- **`parse?: (input: unknown) => unknown;`**: Parse function for the row, which
will be executed after parsing of all columns. Therefore if you don't provide
`skipFirstRow`, `columns`, and `parse` function, input will be `string[]`.
##### `HeaderOptions`
- **`name: string;`**: Name of the header to be used as property.
- **`parse?: (input: string) => unknown;`**: Parse function for the column. This
is executed on each entry of the header. This can be combined with the Parse
function of the rows.
##### `ReadOptions`
- **`comma?: string;`**: Character which separates values. Default: `","`.
- **`comment?: string;`**: Character to start a comment. Default: `"#"`.
- **`trimLeadingSpace?: boolean;`**: Flag to trim the leading space of the
value. Default: `false`.
- **`lazyQuotes?: boolean;`**: Allow unquoted quote in a quoted field or non
double quoted quotes in quoted field. Default: `false`.
- **`fieldsPerRecord?`**: Enabling the check of fields for each row. If == 0,
first row is used as referral for the number of fields.
#### `stringify`
```ts
(data: DataItem[], columns: Column[], options?: StringifyOptions): Promise<string>
```
- **`data`** is the source data to stringify. It's an array of items which are
plain objects or arrays.
`DataItem: Record<string, unknown> | unknown[]`
```ts
const data = [
{
name: "Deno",
repo: { org: "denoland", name: "deno" },
runsOn: ["Rust", "TypeScript"],
},
];
```
- **`columns`** is a list of instructions for how to target and transform the
data for each column of output. This is also where you can provide an explicit
header name for the column.
`Column`:
- The most essential aspect of a column is accessing the property holding the
data for that column on each object in the data array. If that member is at
the top level, `Column` can simply be a property accessor, which is either a
`string` (if it's a plain object) or a `number` (if it's an array).
```ts
const columns = [
"name",
];
```
Each property accessor will be used as the header for the column:
| name |
| :--: |
| Deno |
- If the required data is not at the top level (it's nested in other
objects/arrays), then a simple property accessor won't work, so an array of
them will be required.
```ts
const columns = [
["repo", "name"],
["repo", "org"],
];
```
When using arrays of property accessors, the header names inherit the value
of the last accessor in each array:
| name | org |
| :--: | :------: |
| deno | denoland |
- If the data is not already in the required output format, or a different
column header is desired, then a `ColumnDetails` object type can be used for
each column:
- **`fn?: (value: any) => string | Promise<string>`** is an optional
function to transform the targeted data into the desired format
- **`header?: string`** is the optional value to use for the column header
name
- **`prop: PropertyAccessor | PropertyAccessor[]`** is the property accessor
(`string` or `number`) or array of property accessors used to access the
data on each object
```ts
const columns = [
"name",
{
prop: ["runsOn", 0],
header: "language 1",
fn: (str: string) => str.toLowerCase(),
},
{
prop: ["runsOn", 1],
header: "language 2",
fn: (str: string) => str.toLowerCase(),
},
];
```
| name | language 1 | language 2 |
| :--: | :--------: | :--------: |
| Deno | rust | typescript |
- **`options`** are options for the delimiter-separated output.
- **`headers?: boolean`**: Whether or not to include the row of headers.
Default: `true`
- **`separator?: string`**: Delimiter used to separate values. Examples:
- `","` _comma_ (Default)
- `"\t"` _tab_
- `"|"` _pipe_
- etc.
### Basic Usage
```ts
import { parse } from "https://deno.land/std@$STD_VERSION/encoding/csv.ts";
const string = "a,b,c\nd,e,f";
console.log(
2020-05-18 06:10:19 -04:00
await parse(string, {
skipFirstRow: false,
}),
);
// output:
// [["a", "b", "c"], ["d", "e", "f"]]
```
```ts
import {
Column,
stringify,
} from "https://deno.land/std@$STD_VERSION/encoding/csv.ts";
type Character = {
age: number;
name: {
first: string;
last: string;
};
};
const data: Character[] = [
{
age: 70,
name: {
first: "Rick",
last: "Sanchez",
},
},
{
age: 14,
name: {
first: "Morty",
last: "Smith",
},
},
];
let columns: Column[] = [
["name", "first"],
"age",
];
console.log(await stringify(data, columns));
// first,age
// Rick,70
// Morty,14
//
columns = [
{
prop: "name",
fn: (name: Character["name"]) => `${name.first} ${name.last}`,
},
{
prop: "age",
header: "is_adult",
fn: (age: Character["age"]) => String(age >= 18),
},
];
console.log(await stringify(data, columns, { separator: "\t" }));
// name is_adult
// Rick Sanchez true
// Morty Smith false
//
```
## TOML
This module parse TOML files. It follows as much as possible the
[TOML specs](https://toml.io/en/latest). Be sure to read the supported types as
not every specs is supported at the moment and the handling in TypeScript side
is a bit different.
### Supported types and handling
- :heavy_check_mark: [Keys](https://toml.io/en/latest#keys)
- :exclamation: [String](https://toml.io/en/latest#string)
- :heavy_check_mark: [Multiline String](https://toml.io/en/latest#string)
- :heavy_check_mark: [Literal String](https://toml.io/en/latest#string)
- :exclamation: [Integer](https://toml.io/en/latest#integer)
- :heavy_check_mark: [Float](https://toml.io/en/latest#float)
- :heavy_check_mark: [Boolean](https://toml.io/en/latest#boolean)
- :heavy_check_mark:
[Offset Date-time](https://toml.io/en/latest#offset-date-time)
- :heavy_check_mark:
[Local Date-time](https://toml.io/en/latest#local-date-time)
- :heavy_check_mark: [Local Date](https://toml.io/en/latest#local-date)
- :exclamation: [Local Time](https://toml.io/en/latest#local-time)
- :heavy_check_mark: [Table](https://toml.io/en/latest#table)
- :heavy_check_mark: [Inline Table](https://toml.io/en/latest#inline-table)
- :exclamation: [Array of Tables](https://toml.io/en/latest#array-of-tables)
:exclamation: _Supported with warnings see [Warning](#Warning)._
#### :warning: Warning
##### String
2019-10-09 17:22:22 -04:00
- Regex : Due to the spec, there is no flag to detect regex properly in a TOML
declaration. So the regex is stored as string.
##### Integer
2019-10-09 17:22:22 -04:00
For **Binary** / **Octal** / **Hexadecimal** numbers, they are stored as string
to be not interpreted as Decimal.
##### Local Time
2019-10-09 17:22:22 -04:00
Because local time does not exist in JavaScript, the local time is stored as a
string.
##### Inline Table
Inline tables are supported. See below:
```toml
animal = { type = { name = "pug" } }
## Output { animal: { type: { name: "pug" } } }
animal = { type.name = "pug" }
## Output { animal: { type : { name : "pug" } }
animal.as.leaders = "tosin"
## Output { animal: { as: { leaders: "tosin" } } }
"tosin.abasi" = "guitarist"
## Output { tosin.abasi: "guitarist" }
```
##### Array of Tables
At the moment only simple declarations like below are supported:
```toml
[[bin]]
name = "deno"
path = "cli/main.rs"
[[bin]]
name = "deno_core"
path = "src/foo.rs"
[[nib]]
name = "node"
path = "not_found"
```
will output:
```json
{
"bin": [
{ "name": "deno", "path": "cli/main.rs" },
{ "name": "deno_core", "path": "src/foo.rs" }
],
"nib": [{ "name": "node", "path": "not_found" }]
}
```
### Basic usage
```ts
import {
parse,
stringify,
} from "https://deno.land/std@$STD_VERSION/encoding/toml.ts";
const obj = {
bin: [
{ name: "deno", path: "cli/main.rs" },
{ name: "deno_core", path: "src/foo.rs" },
],
nib: [{ name: "node", path: "not_found" }],
};
const tomlString = stringify(obj);
console.log(tomlString);
// =>
// [[bin]]
// name = "deno"
// path = "cli/main.rs"
// [[bin]]
// name = "deno_core"
// path = "src/foo.rs"
// [[nib]]
// name = "node"
// path = "not_found"
const tomlObject = parse(tomlString);
console.log(tomlObject);
// =>
// {
// bin: [
// { name: "deno", path: "cli/main.rs" },
// { name: "deno_core", path: "src/foo.rs" }
// ],
// nib: [ { name: "node", path: "not_found" } ]
// }
```
## YAML
YAML parser / dumper for Deno.
Heavily inspired from [`js-yaml`](https://github.com/nodeca/js-yaml).
### Basic usage
`parse` parses the yaml string, and `stringify` dumps the given object to YAML
string.
```ts
import {
parse,
stringify,
} from "https://deno.land/std@$STD_VERSION/encoding/yaml.ts";
const data = parse(`
foo: bar
baz:
- qux
- quux
`);
console.log(data);
// => { foo: "bar", baz: [ "qux", "quux" ] }
const yaml = stringify({ foo: "bar", baz: ["qux", "quux"] });
console.log(yaml);
// =>
// foo: bar
// baz:
// - qux
// - quux
```
If your YAML contains multiple documents in it, you can use `parseAll` for
handling it.
```ts
import { parseAll } from "https://deno.land/std@$STD_VERSION/encoding/yaml.ts";
const data = parseAll(`
---
id: 1
name: Alice
---
id: 2
name: Bob
---
id: 3
name: Eve
`);
console.log(data);
// => [ { id: 1, name: "Alice" }, { id: 2, name: "Bob" }, { id: 3, name: "Eve" } ]
```
### API
#### `parse(str: string, opts?: ParserOption): unknown`
Parses the YAML string with a single document.
#### `parseAll(str: string, iterator?: Function, opts?: ParserOption): unknown`
Parses the YAML string with multiple documents. If the iterator is given, it's
applied to every document instead of returning the array of parsed objects.
#### `stringify(obj: object, opts?: DumpOption): string`
Serializes `object` as a YAML document.
### :warning: Limitations
- `binary` type is currently not stable.
- `function`, `regexp`, and `undefined` type are currently not supported.
### More example
See: https://github.com/nodeca/js-yaml
## base32
[RFC4648 base32](https://tools.ietf.org/html/rfc4648#section-6) encoder/decoder
for Deno.
### Basic usage
`encode` encodes a `Uint8Array` to RFC4648 base32 representation, and `decode`
decodes the given RFC4648 base32 representation to a `Uint8Array`.
```ts
import {
decode,
encode,
} from "https://deno.land/std@$STD_VERSION/encoding/base32.ts";
const b32Repr = "RC2E6GA=";
const binaryData = decode(b32Repr);
console.log(binaryData);
// => Uint8Array [ 136, 180, 79, 24 ]
console.log(encode(binaryData));
// => RC2E6GA=
```
## ascii85
Ascii85/base85 encoder and decoder with support for multiple standards.
### Basic usage
`encode` encodes a `Uint8Array` to a ascii85 representation, and `decode`
decodes the given ascii85 representation to a `Uint8Array`.
```ts
import {
decode,
encode,
} from "https://deno.land/std@$STD_VERSION/encoding/ascii85.ts";
const a85Repr = "LpTqp";
const binaryData = decode(a85Repr);
console.log(binaryData);
// => Uint8Array [ 136, 180, 79, 24 ]
console.log(encode(binaryData));
// => LpTqp
```
### Specifying a standard and delimiter
By default all functions are using the most popular Adobe version of ascii85 and
not adding any delimiter. However, there are three more standards supported -
btoa (different delimiter and additional compression of 4 bytes equal to 32),
[Z85](https://rfc.zeromq.org/spec/32/) and
[RFC 1924](https://tools.ietf.org/html/rfc1924). It's possible to use a
different encoding by specifying it in `options` object as a second parameter.
Similarly, it's possible to make `encode` add a delimiter (`<~` and `~>` for
Adobe, `xbtoa Begin` and `xbtoa End` with newlines between the delimiters and
encoded data for btoa. Checksums for btoa are not supported. Delimiters are not
supported by other encodings.)
encoding examples:
```ts
import {
decode,
encode,
} from "https://deno.land/std@$STD_VERSION/encoding/ascii85.ts";
const binaryData = new Uint8Array([136, 180, 79, 24]);
console.log(encode(binaryData));
// => LpTqp
console.log(encode(binaryData, { standard: "Adobe", delimiter: true }));
// => <~LpTqp~>
console.log(encode(binaryData, { standard: "btoa", delimiter: true }));
/* => xbtoa Begin
LpTqp
xbtoa End */
console.log(encode(binaryData, { standard: "RFC 1924" }));
// => h_p`_
console.log(encode(binaryData, { standard: "Z85" }));
// => H{P}{
```