Clojure-like utilities
Project description
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description: # clj
`clj` is a Python module for those times when you did too much Clojure and
came back to Python thinking where are all these `distinct`, `drop-while`,
`cycle`, `first`, etc.
## Install
pip install clj
## Usage
### Example
```clojure
;; Clojure
(println (count (distinct (filter even? (map inc coll)))))
```
```python
# Python
from clj import count, distinct, inc
even = lambda e: ~e&1
print(count(distinct(filter(even, map(inc, coll)))))
```
Note that `count()` works on both sequences in generators; in the latter case
it doesn’t load everything in memory like e.g. `len(list(g))` would do.
## Core Ideas
* Lazy by default. All functions should work on arbitrary iterators and
return generators.
* This is Python. We keep Python’s semantics instead of trying to reproduce
Clojure in Python (e.g. `0` and `[]` are logically true in Clojure but false
in Python; `None` is not equivalent to an empty collection).
* Don’t Reinvent the Wheel. Python already provides things like `map` and
`filter`. We don’t reimplement them unless they miss something (e.g. Python’s
`range` can’t be called without argument to yield an infinite sequence).
## Support
The general naming scheme is: use underscores instead of hyphens; start the
function with `is_` if its Clojure counterparts ends with a `?`.
### Sequences
We aim to implement all Clojure functions that operate on sequences
(see [the list here][seqs]).
They all work on iterables and return generators by default (Python’s closest
equivalent of lazy seqs). We don’t support transducers.
[seqs]: http://clojure.org/reference/sequences
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `distinct` | `distinct` | |
| `filter` | - | Use Python’s built-in `filter`. |
| `remove` | `remove` | |
| `for` | - | Use `for … in`. |
| `keep` | `keep` | |
| `keep-indexed` | `keep_indexed` | |
| `cons` | `cons` | |
| `concat` | `concat` | Deprecated. Use Python’s `itertools.chain` |
| `lazy-cat` | - | Use Python’s `itertools.chain` |
| `mapcat` | `mapcat` | |
| `cycle` | `cycle` | |
| `interleave` | `interleave` | |
| `interpose` | `interpose` | |
| `rest` | `rest` | |
| `next` | - | Use `rest`. |
| `fnext` | - | Use `second`. |
| `nnext` | - | Use `rest(rest(…))` |
| `drop` | `drop` | |
| `drop-while` | `drop_while` | Deprecated. Use Python’s `itertools.dropwhile` |
| `nthnext` | - | |
| `take` | `take` | |
| `take-nth` | `take_nth` | |
| `take-while` | `take_while` | Deprecated. Use Python’s `itertools.takewhile` |
| `butlast` | `butlast` | |
| `drop-last` | `drop_last` | |
| `flatten` | `flatten` | |
| `reverse` | - | Use Python’s `reversed`. |
| `sort` | - | Use Python’s built-in `sort`. |
| `sort-by` | - | Use `sort(…, key=your_function)`.|
| `shuffle` | `shuffle` | |
| `split-at` | `split_at` | |
| `split-with` | `split_with` | |
| `partition` | | |
| `partition-all` | | |
| `partition-by` | | |
| `map` | - | Use Python’s built-in `map`. |
| `pmap` | - | |
| `replace` | `replace` | |
| `reductions` | `reductions` | `(reductions f i c)` becomes `reductions(f, c, i)` |
| `map-indexed` | `map_indexed` | |
| `seque` | - | |
| `first` | `first` | |
| `ffirst` | `ffirst` | |
| `nfirst` | `nfirst` | |
| `second` | `second` | |
| `nth` | `nth` | |
| `when-first` | - | (macro) |
| `last` | `last` | |
| `rand-nth` | - | Use Python’s `random.choice`. |
| `zipmap` | `zipmap` | |
| `into` | - | |
| `reduce` | - | Use Python’s built-in `reduce`. |
| `set` | - | Use Python’s `set`. |
| `vec` | - | Use Python’s `list`. |
| `into-array` | - | Use Python’s `list`. |
| `to-array-2d` | - | |
| `frequencies` | - | Use Python’s `collections.Counter`.|
| `group-by` | `group_by` | |
| `apply` | - | Use the `f(*args)` construct. |
| `not-empty` | - | |
| `some` | `some` | |
| `seq?` | `is_seq` | |
| `every?` | `every` | |
| `not-every?` | `not_every` | |
| `not-any?` | `not_any` | |
| `empty?` | - | |
| `empty` | `empty` | |
| `doseq` | - | Use `for … in`. |
| `dorun` | `dorun` | |
| `doall` | - | Use Python’s `list`. |
| `realized?` | - | |
| `seq` | - | |
| `vals` | - | Use Python’s `dict.values`. |
| `keys` | - | Use Python’s `dict.keys`. |
| `rseq` | - | |
| `subseq` | | |
| `rsubseq` | | |
| `lazy-seq` | - | (macro) |
| `repeatedly` | `repeatedly` | |
| `iterate` | `iterate` | |
| `repeat` | `repeat` | `(repeat n x)` becomes `repeat(x, n)`.|
| `range` | `range` | Prefer Python’s `range` for everything but infinite generators.|
| `line-seq` | - | Loop over an `io.BufferedReader`.|
| `resultset-seq` | - | |
| `re-seq` | - | Use Python’s `re.finditer`. |
| `tree-seq` | `tree_seq` | |
| `file-seq` | - | |
| `xml-seq` | - | |
| `iterator-seq` | - | |
| `enumeration-seq` | - | |
| `hash-map` | - | Use Python’s `dict`. |
| `array-map` | - | Use Python’s `dict`. |
| `sorted-map` | - | Use `collections.OrderedDict`. |
| `sorted-map-by` | | |
| `hash-set` | - | Use Python’s `set`. |
| `set` | - | Use Python’s `set`. |
| `sorted-set` | | |
| `sorted-set-by` | | |
| `dedupe` | | |
We also implemented `count`, which uses Python’s `len` when possible and
fallbacks on a `for` loop for other cases.
### Functions
We also provide miscellaneous functions as well as functions that work on
functions.
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `identity` | `identity` | |
| `partial` | - | Use Python’s `functools.partial` |
| `comp` | `comp` | |
| `complement` | `complement` | |
| `constantly` | `constantly` | |
| `juxt` | `juxt` | |
| `distinct?` | `is_distinct` | |
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `inc` | `inc` | |
| `dec` | `dec` | |
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development :: Libraries :: Python Modules
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Description: # clj
`clj` is a Python module for those times when you did too much Clojure and
came back to Python thinking where are all these `distinct`, `drop-while`,
`cycle`, `first`, etc.
## Install
pip install clj
## Usage
### Example
```clojure
;; Clojure
(println (count (distinct (filter even? (map inc coll)))))
```
```python
# Python
from clj import count, distinct, inc
even = lambda e: ~e&1
print(count(distinct(filter(even, map(inc, coll)))))
```
Note that `count()` works on both sequences in generators; in the latter case
it doesn’t load everything in memory like e.g. `len(list(g))` would do.
## Core Ideas
* Lazy by default. All functions should work on arbitrary iterators and
return generators.
* This is Python. We keep Python’s semantics instead of trying to reproduce
Clojure in Python (e.g. `0` and `[]` are logically true in Clojure but false
in Python; `None` is not equivalent to an empty collection).
* Don’t Reinvent the Wheel. Python already provides things like `map` and
`filter`. We don’t reimplement them unless they miss something (e.g. Python’s
`range` can’t be called without argument to yield an infinite sequence).
## Support
The general naming scheme is: use underscores instead of hyphens; start the
function with `is_` if its Clojure counterparts ends with a `?`.
### Sequences
We aim to implement all Clojure functions that operate on sequences
(see [the list here][seqs]).
They all work on iterables and return generators by default (Python’s closest
equivalent of lazy seqs). We don’t support transducers.
[seqs]: http://clojure.org/reference/sequences
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `distinct` | `distinct` | |
| `filter` | - | Use Python’s built-in `filter`. |
| `remove` | `remove` | |
| `for` | - | Use `for … in`. |
| `keep` | `keep` | |
| `keep-indexed` | `keep_indexed` | |
| `cons` | `cons` | |
| `concat` | `concat` | Deprecated. Use Python’s `itertools.chain` |
| `lazy-cat` | - | Use Python’s `itertools.chain` |
| `mapcat` | `mapcat` | |
| `cycle` | `cycle` | |
| `interleave` | `interleave` | |
| `interpose` | `interpose` | |
| `rest` | `rest` | |
| `next` | - | Use `rest`. |
| `fnext` | - | Use `second`. |
| `nnext` | - | Use `rest(rest(…))` |
| `drop` | `drop` | |
| `drop-while` | `drop_while` | Deprecated. Use Python’s `itertools.dropwhile` |
| `nthnext` | - | |
| `take` | `take` | |
| `take-nth` | `take_nth` | |
| `take-while` | `take_while` | Deprecated. Use Python’s `itertools.takewhile` |
| `butlast` | `butlast` | |
| `drop-last` | `drop_last` | |
| `flatten` | `flatten` | |
| `reverse` | - | Use Python’s `reversed`. |
| `sort` | - | Use Python’s built-in `sort`. |
| `sort-by` | - | Use `sort(…, key=your_function)`.|
| `shuffle` | `shuffle` | |
| `split-at` | `split_at` | |
| `split-with` | `split_with` | |
| `partition` | | |
| `partition-all` | | |
| `partition-by` | | |
| `map` | - | Use Python’s built-in `map`. |
| `pmap` | - | |
| `replace` | `replace` | |
| `reductions` | `reductions` | `(reductions f i c)` becomes `reductions(f, c, i)` |
| `map-indexed` | `map_indexed` | |
| `seque` | - | |
| `first` | `first` | |
| `ffirst` | `ffirst` | |
| `nfirst` | `nfirst` | |
| `second` | `second` | |
| `nth` | `nth` | |
| `when-first` | - | (macro) |
| `last` | `last` | |
| `rand-nth` | - | Use Python’s `random.choice`. |
| `zipmap` | `zipmap` | |
| `into` | - | |
| `reduce` | - | Use Python’s built-in `reduce`. |
| `set` | - | Use Python’s `set`. |
| `vec` | - | Use Python’s `list`. |
| `into-array` | - | Use Python’s `list`. |
| `to-array-2d` | - | |
| `frequencies` | - | Use Python’s `collections.Counter`.|
| `group-by` | `group_by` | |
| `apply` | - | Use the `f(*args)` construct. |
| `not-empty` | - | |
| `some` | `some` | |
| `seq?` | `is_seq` | |
| `every?` | `every` | |
| `not-every?` | `not_every` | |
| `not-any?` | `not_any` | |
| `empty?` | - | |
| `empty` | `empty` | |
| `doseq` | - | Use `for … in`. |
| `dorun` | `dorun` | |
| `doall` | - | Use Python’s `list`. |
| `realized?` | - | |
| `seq` | - | |
| `vals` | - | Use Python’s `dict.values`. |
| `keys` | - | Use Python’s `dict.keys`. |
| `rseq` | - | |
| `subseq` | | |
| `rsubseq` | | |
| `lazy-seq` | - | (macro) |
| `repeatedly` | `repeatedly` | |
| `iterate` | `iterate` | |
| `repeat` | `repeat` | `(repeat n x)` becomes `repeat(x, n)`.|
| `range` | `range` | Prefer Python’s `range` for everything but infinite generators.|
| `line-seq` | - | Loop over an `io.BufferedReader`.|
| `resultset-seq` | - | |
| `re-seq` | - | Use Python’s `re.finditer`. |
| `tree-seq` | `tree_seq` | |
| `file-seq` | - | |
| `xml-seq` | - | |
| `iterator-seq` | - | |
| `enumeration-seq` | - | |
| `hash-map` | - | Use Python’s `dict`. |
| `array-map` | - | Use Python’s `dict`. |
| `sorted-map` | - | Use `collections.OrderedDict`. |
| `sorted-map-by` | | |
| `hash-set` | - | Use Python’s `set`. |
| `set` | - | Use Python’s `set`. |
| `sorted-set` | | |
| `sorted-set-by` | | |
| `dedupe` | | |
We also implemented `count`, which uses Python’s `len` when possible and
fallbacks on a `for` loop for other cases.
### Functions
We also provide miscellaneous functions as well as functions that work on
functions.
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `identity` | `identity` | |
| `partial` | - | Use Python’s `functools.partial` |
| `comp` | `comp` | |
| `complement` | `complement` | |
| `constantly` | `constantly` | |
| `juxt` | `juxt` | |
| `distinct?` | `is_distinct` | |
| Clojure | `clj` | Comment |
|-------------------|:----------------|----------------------------------|
| `inc` | `inc` | |
| `dec` | `dec` | |
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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