# can_ada
[Fast] Python bindings for [Ada][], a fast and WHATWG spec-compliant URL parser.
This is the URL parser used in projects like Node.js.
## Installation
```bash
pip install can_ada
```
Binary wheels are available for most platforms. If not available, a
C++17-or-greater compiler will be required to build the underlying Ada library.
## WHATWG URL compliance
Unlike the standard library's `urllib.parse` module, this library is compliant with the WHATWG URL specification.
```python
import can_ada
urlstring = "https://www.GOoglé.com/./path/../path2/"
url = can_ada.parse(urlstring)
# prints www.xn--googl-fsa.com, the correctly parsed domain name according
# to WHATWG
print(url.hostname)
# prints /path2/, which is the correctly parsed pathname according to WHATWG
print(url.pathname)
import urllib.parse
urlstring = "https://www.GOoglé.com/./path/../path2/"
url = urllib.parse.urlparse(urlstring)
# prints www.googlé.com
print(url.hostname)
# prints /./path/../path2/
print(url.path)
```
## Usage
Parsing is simple:
```python
from can_ada import parse
url = parse("https://tkte.ch/search?q=canada")
print(url.protocol) # https:
print(url.host) # tkte.ch
print(url.pathname) # /search
print(url.search) # ?q=canada
```
You can also modify URLs:
```python
from can_ada import parse
url = parse("https://tkte.ch/search?q=canada")
url.host = "google.com"
url.search = "?q=canada&safe=off"
print(url) # https://google.com/search?q=canada&safe=off
```
`can_ada` also supports the `URLSearchParams` API:
```python
from can_ada import URLSearchParams
params = URLSearchParams("q=canada&safe=off")
params.append("page", "2")
params.append("page", "3")
params["q"] = "usa"
print(params) # q=usa&safe=off&page=2&page=3
print(params.has("q")) # True
print(params.get("page")) # 2
print(params.get_all("page")) # [2, 3]
print(params.keys()) # ["q", "safe", "page"]
print(params.values()) # ["usa", "off", "2", "3"]
```
## Performance
We find that `can_ada` is typically ~4x faster than urllib:
```
---------------------------------------------------------------------------------
Name (time in ms) Min Max Mean
---------------------------------------------------------------------------------
test_can_ada_parse 54.1304 (1.0) 54.6734 (1.0) 54.3699 (1.0)
test_ada_python_parse 107.5653 (1.99) 108.1666 (1.98) 107.7817 (1.98)
test_urllib_parse 251.5167 (4.65) 255.1327 (4.67) 253.2407 (4.66)
---------------------------------------------------------------------------------
```
To run the benchmarks locally, use:
```
pytest --runslow
```
[Ada]: https://ada-url.com/
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"description": "# can_ada\n\n[Fast] Python bindings for [Ada][], a fast and WHATWG spec-compliant URL parser.\nThis is the URL parser used in projects like Node.js.\n\n## Installation\n\n```bash\npip install can_ada\n```\n\nBinary wheels are available for most platforms. If not available, a\nC++17-or-greater compiler will be required to build the underlying Ada library.\n\n## WHATWG URL compliance\n\nUnlike the standard library's `urllib.parse` module, this library is compliant with the WHATWG URL specification.\n\n```python\nimport can_ada\nurlstring = \"https://www.GOogl\u00e9.com/./path/../path2/\"\nurl = can_ada.parse(urlstring)\n# prints www.xn--googl-fsa.com, the correctly parsed domain name according\n# to WHATWG\nprint(url.hostname)\n# prints /path2/, which is the correctly parsed pathname according to WHATWG\nprint(url.pathname)\n\nimport urllib.parse\nurlstring = \"https://www.GOogl\u00e9.com/./path/../path2/\"\nurl = urllib.parse.urlparse(urlstring)\n# prints www.googl\u00e9.com\nprint(url.hostname)\n# prints /./path/../path2/\nprint(url.path)\n```\n\n## Usage\n\nParsing is simple:\n\n```python\nfrom can_ada import parse\n\nurl = parse(\"https://tkte.ch/search?q=canada\")\nprint(url.protocol) # https:\nprint(url.host) # tkte.ch\nprint(url.pathname) # /search\nprint(url.search) # ?q=canada\n```\n\nYou can also modify URLs:\n\n```python\nfrom can_ada import parse\n\nurl = parse(\"https://tkte.ch/search?q=canada\")\nurl.host = \"google.com\"\nurl.search = \"?q=canada&safe=off\"\nprint(url) # https://google.com/search?q=canada&safe=off\n```\n\n`can_ada` also supports the `URLSearchParams` API:\n\n```python\nfrom can_ada import URLSearchParams\n\nparams = URLSearchParams(\"q=canada&safe=off\")\nparams.append(\"page\", \"2\")\nparams.append(\"page\", \"3\")\nparams[\"q\"] = \"usa\"\nprint(params) # q=usa&safe=off&page=2&page=3\nprint(params.has(\"q\")) # True\nprint(params.get(\"page\")) # 2\nprint(params.get_all(\"page\")) # [2, 3]\nprint(params.keys()) # [\"q\", \"safe\", \"page\"]\nprint(params.values()) # [\"usa\", \"off\", \"2\", \"3\"]\n```\n\n## Performance\n\nWe find that `can_ada` is typically ~4x faster than urllib:\n\n```\n---------------------------------------------------------------------------------\nName (time in ms) Min Max Mean \n---------------------------------------------------------------------------------\ntest_can_ada_parse 54.1304 (1.0) 54.6734 (1.0) 54.3699 (1.0) \ntest_ada_python_parse 107.5653 (1.99) 108.1666 (1.98) 107.7817 (1.98)\ntest_urllib_parse 251.5167 (4.65) 255.1327 (4.67) 253.2407 (4.66)\n---------------------------------------------------------------------------------\n```\n\nTo run the benchmarks locally, use:\n\n```\npytest --runslow\n```\n\n[Ada]: https://ada-url.com/\n",
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