extratools 0.5.4

Extra Functional Tools beyond Standard and Third-Party Libraries

Extra functional tools that go beyond standard library's itertools, functools, etc. and popular third-party libraries like toolz, fancy, and more-itertools.

• Like toolz and others, most of the tools are designed to be efficient, pure, and lazy. Several useful yet non-functional tools are also included.

• While toolz and others target basic scenarios, most tools in this library target more advanced and complete scenarios.

• A few useful CLI tools for respective functions are also installed. They are available as extratools-[funcname].

This library is under active development, and new functions will be added on regular basis.

• Any idea or contribution is highly welcome.

• Currently adopted by TopSim and PrefixSpan-py.

Documentation

Full documentation available here.

Installation

This package is available on PyPI. Just use pip3 install -U extratools to install it.

Examples

Here are three examples out of dozens of our tools.

• seqtools.compress(data, key=None) compresses the sequence by encoding continuous identical Item to (Item, Count), according to run-length encoding.

list(compress([1, 2, 2, 3, 3, 3, 4, 4, 4, 4]))
# [(1, 1), (2, 2), (3, 3), (4, 4)]

• rangetools.gaps(covered, whole=(-inf, inf)) computes the uncovered ranges of the whole range whole, given the covered ranges covered.

list(gaps(
    [(-inf, 0), (0.1, 0.2), (0.5, 0.7), (0.6, 0.9)],
    (0, 1)
))
# [(0, 0.1), (0.2, 0.5), (0.9, 1)]

• jsontools.flatten(data, force=False) flattens a JSON object by returning (Path, Value) tuples with each path Path from root to each value Value.

flatten(json.loads("""{
  "name": "John",
  "address": {
    "streetAddress": "21 2nd Street",
    "city": "New York",
  },
  "phoneNumbers": [
    {
      "type": "home",
      "number": "212 555-1234"
    },
    {
      "type": "office",
      "number": "646 555-4567"
    }
  ],
  "children": [],
  "spouse": null
}"""))
# {'name': 'John',
#  'address.streetAddress': '21 2nd Street',
#  'address.city': 'New York',
#  'phoneNumbers[0].type': 'home',
#  'phoneNumbers[0].number': '212 555-1234',
#  'phoneNumbers[1].type': 'office',
#  'phoneNumbers[1].number': '646 555-4567',
#  'children': [],
#  'spouse': None}