| Name | crossandra JSON |
| Version |
1.2.4
JSON |
| download |
| home_page | |
| Summary | A simple tokenizer operating on enums with a decent amount of configuration |
| upload_time | 2022-12-10 05:41:40 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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|
# Crossandra
Crossandra is a fast and simple tokenization library for Python operating on enums and regular expressions, with a decent amount of configuration.
## Installation
Crossandra is available on PyPI and can be installed with pip, or any other Python package manager:
```sh
$ pip install crossandra
```
(Some systems may require you to use `pip3`, `python -m pip`, or `py -m pip` instead)
## License
Crossandra is licensed under the MIT License.
## Reference
### `Crossandra`
```py
Crossandra(
token_source: type[Enum] = Empty,
*,
ignore_whitespace: bool = False,
ignored_characters: str = "",
suppress_unknown: bool = False,
rules: list[Rule | RuleGroup] | None = None
)
```
- `token_source`: an enum containing all possible tokens (defaults to an empty enum)
- `ignore_whitespace`: whether spaces, tabs, newlines etc. should be ignored
- `ignored_characters`: characters to skip during tokenization
- `suppress_unknown`: whether unknown tokens should continue without throwing an error
- `rules`: a list of additional rules to use
The enum takes priority over the rule list.
---
When all tokens are of length 1 and there are no additional rules, Crossandra will use a simpler tokenization method (the so called Fast Mode).
> **Example:** Tokenizing noisy Brainfuck code *(tested on MacBook Air M1 (256/16))*
```py
# Setup
from random import choices
from string import punctuation
program = "".join(choices(punctuation, k=...))
```
k | Default | Fast Mode | Speedup
:---: | :---: | :---: | :---:
10 | 0.00004s | 0.00002s | 2x
100 | 0.00016s | 0.00003s | 5.3x
1000 | 0.0015s | 0.00013s | 11.5x
10000 | 0.014s | 0.0009s | 15.6x
100000 | 0.29s | 0.009s | 32.2x
### `Rule`
```py
Rule[T](
pattern: str,
converter: Callable[[str], T] | bool = True,
flags: RegexFlag | int = 0
)
```
Used for defining custom rules. `pattern` is a regex pattern to match (`flags` can be supplied).
When `converter` is a callable, it's used on the matched substring.
When `converter` is `True`, it will directly return the matched substring.
When `converter` is `False`, it will not include the matched substring in the token list.
### `RuleGroup`
```py
RuleGroup(rules: tuple[Rule[Any], ...])
```
Used for storing multiple Rules in one object. Can be constructed by ORing two or more Rules.
### `common`
The `common` submodule is a collection of commonly used patterns.
Rules:
- CHAR (e.g. `'h'`)
- LETTER (e.g. `m`)
- WORD (e.g. `ball`)
- SINGLE_QUOTED_STRING (e.g. `'nice fish'`)
- DOUBLE_QUOTED_STRING (e.g. `"hello there"`)
- C_NAME (e.g. `crossandra_rocks`)
- NEWLINE (`\n`; `\r\n` is converted to `\n` before tokenization)
- DIGIT (e.g. `7`)
- HEXDIGIT (e.g. `c`)
- DECIMAL (e.g. `3.14`)
- INT (e.g. `2137`)
- SIGNED_INT (e.g. `-1`)
- FLOAT (e.g. `1e3`)
- SIGNED_FLOAT (e.g. `+4.3`)
RuleGroups:
- STRING (`SINGLE_QUOTED_STRING | DOUBLE_QUOTED_STRING`)
- NUMBER (`INT | FLOAT`)
- SIGNED_NUMBER (`SIGNED_INT | SIGNED_FLOAT`)
## Examples
```py
from enum import Enum
from crossandra import Crossandra
class Brainfuck(Enum):
ADD = "+"
SUB = "-"
LEFT = "<"
RIGHT = ">"
READ = ","
WRITE = "."
BEGIN_LOOP = "["
END_LOOP = "]"
bf = Crossandra(Brainfuck, suppress_unknown=True)
print(*bf.tokenize("cat program: ,[.,]"), sep="\n")
# Brainfuck.READ
# Brainfuck.BEGIN_LOOP
# Brainfuck.WRITE
# Brainfuck.READ
# Brainfuck.END_LOOP
```
```py
from crossandra import Crossandra, Rule, common
def hex2rgb(hex_color: str) -> tuple[int, int, int]:
r, g, b = (int(hex_color[i:i+2], 16) for i in range(1, 6, 2))
return r, g, b
t = Crossandra(
ignore_whitespace=True,
rules=[
Rule(r"#[0-9a-fA-F]+", hex2rgb),
common.WORD
]
)
text = "My favorite color is #facade"
print(t.tokenize(text))
# ['My', 'favorite', 'color', 'is', (250, 202, 222)]
```
```py
# Supporting Samarium's numbers and arithmetic operators
from enum import Enum
from crossandra import Crossandra, Rule
def sm_int(string: str) -> int:
return int(string.replace("/", "1").replace("\\", "0"), 2)
class Op(Enum):
ADD = "+"
SUB = "-"
MUL = "++"
DIV = "--"
POW = "+++"
MOD = "---"
sm = Crossandra(
Op,
ignore_whitespace=True,
rules=[Rule(r"(?:\\|/)+", sm_int)]
)
print(*sm.tokenize(r"//\ ++ /\\/ --- /\/\/ - ///"))
# 6 Op.MUL 9 Op.MOD 21 Op.SUB 7
```
Raw data
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"description": "# Crossandra\nCrossandra is a fast and simple tokenization library for Python operating on enums and regular expressions, with a decent amount of configuration.\n\n## Installation\nCrossandra is available on PyPI and can be installed with pip, or any other Python package manager:\n```sh\n$ pip install crossandra\n```\n(Some systems may require you to use `pip3`, `python -m pip`, or `py -m pip` instead)\n\n## License\nCrossandra is licensed under the MIT License.\n\n## Reference\n### `Crossandra`\n```py\nCrossandra(\n token_source: type[Enum] = Empty,\n *,\n ignore_whitespace: bool = False,\n ignored_characters: str = \"\",\n suppress_unknown: bool = False,\n rules: list[Rule | RuleGroup] | None = None\n)\n```\n- `token_source`: an enum containing all possible tokens (defaults to an empty enum)\n- `ignore_whitespace`: whether spaces, tabs, newlines etc. should be ignored\n- `ignored_characters`: characters to skip during tokenization\n- `suppress_unknown`: whether unknown tokens should continue without throwing an error\n- `rules`: a list of additional rules to use\n\nThe enum takes priority over the rule list.\n\n---\n\nWhen all tokens are of length 1 and there are no additional rules, Crossandra will use a simpler tokenization method (the so called Fast Mode).\n\n> **Example:** Tokenizing noisy Brainfuck code *(tested on MacBook Air M1 (256/16))*\n\n```py\n# Setup\nfrom random import choices\nfrom string import punctuation\n\nprogram = \"\".join(choices(punctuation, k=...))\n```\n\nk | Default | Fast Mode | Speedup\n:---: | :---: | :---: | :---:\n10 | 0.00004s | 0.00002s | 2x\n100 | 0.00016s | 0.00003s | 5.3x\n1000 | 0.0015s | 0.00013s | 11.5x\n10000 | 0.014s | 0.0009s | 15.6x\n100000 | 0.29s | 0.009s | 32.2x\n\n\n### `Rule`\n```py\nRule[T](\n pattern: str,\n converter: Callable[[str], T] | bool = True,\n flags: RegexFlag | int = 0\n)\n```\nUsed for defining custom rules. `pattern` is a regex pattern to match (`flags` can be supplied). \nWhen `converter` is a callable, it's used on the matched substring. \nWhen `converter` is `True`, it will directly return the matched substring. \nWhen `converter` is `False`, it will not include the matched substring in the token list.\n\n### `RuleGroup`\n```py\nRuleGroup(rules: tuple[Rule[Any], ...])\n```\nUsed for storing multiple Rules in one object. Can be constructed by ORing two or more Rules.\n\n### `common`\nThe `common` submodule is a collection of commonly used patterns.\n\nRules:\n- CHAR (e.g. `'h'`)\n- LETTER (e.g. `m`)\n- WORD (e.g. `ball`)\n- SINGLE_QUOTED_STRING (e.g. `'nice fish'`)\n- DOUBLE_QUOTED_STRING (e.g. `\"hello there\"`)\n- C_NAME (e.g. `crossandra_rocks`)\n- NEWLINE (`\\n`; `\\r\\n` is converted to `\\n` before tokenization)\n- DIGIT (e.g. `7`)\n- HEXDIGIT (e.g. `c`)\n- DECIMAL (e.g. `3.14`)\n- INT (e.g. `2137`)\n- SIGNED_INT (e.g. `-1`)\n- FLOAT (e.g. `1e3`)\n- SIGNED_FLOAT (e.g. `+4.3`)\n\nRuleGroups:\n- STRING (`SINGLE_QUOTED_STRING | DOUBLE_QUOTED_STRING`)\n- NUMBER (`INT | FLOAT`)\n- SIGNED_NUMBER (`SIGNED_INT | SIGNED_FLOAT`)\n\n\n## Examples\n```py\nfrom enum import Enum\nfrom crossandra import Crossandra\n\nclass Brainfuck(Enum):\n ADD = \"+\"\n SUB = \"-\"\n LEFT = \"<\"\n RIGHT = \">\"\n READ = \",\"\n WRITE = \".\"\n BEGIN_LOOP = \"[\"\n END_LOOP = \"]\"\n\nbf = Crossandra(Brainfuck, suppress_unknown=True)\nprint(*bf.tokenize(\"cat program: ,[.,]\"), sep=\"\\n\")\n# Brainfuck.READ\n# Brainfuck.BEGIN_LOOP\n# Brainfuck.WRITE\n# Brainfuck.READ\n# Brainfuck.END_LOOP\n```\n```py\nfrom crossandra import Crossandra, Rule, common\n\ndef hex2rgb(hex_color: str) -> tuple[int, int, int]:\n r, g, b = (int(hex_color[i:i+2], 16) for i in range(1, 6, 2))\n return r, g, b\n\nt = Crossandra(\n ignore_whitespace=True,\n rules=[\n Rule(r\"#[0-9a-fA-F]+\", hex2rgb),\n common.WORD\n ]\n)\n\ntext = \"My favorite color is #facade\"\nprint(t.tokenize(text))\n# ['My', 'favorite', 'color', 'is', (250, 202, 222)]\n```\n```py\n# Supporting Samarium's numbers and arithmetic operators\nfrom enum import Enum\nfrom crossandra import Crossandra, Rule\n\ndef sm_int(string: str) -> int:\n return int(string.replace(\"/\", \"1\").replace(\"\\\\\", \"0\"), 2)\n\nclass Op(Enum):\n ADD = \"+\"\n SUB = \"-\"\n MUL = \"++\"\n DIV = \"--\"\n POW = \"+++\"\n MOD = \"---\"\n\nsm = Crossandra(\n Op,\n ignore_whitespace=True,\n rules=[Rule(r\"(?:\\\\|/)+\", sm_int)]\n)\n\nprint(*sm.tokenize(r\"//\\ ++ /\\\\/ --- /\\/\\/ - ///\"))\n# 6 Op.MUL 9 Op.MOD 21 Op.SUB 7\n```\n",
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