# Permutation without repetition - written in Cython - for Numpy
## pip install permutation-no-repetition
### Tested against Windows / Python 3.11 / Anaconda
### This module requires Cython and a C/C++ Compiler to be installed.
```python
This module provides a Cython-based utility for generating permutations (without repetitions!) of arrays, supporting various data types and dimensions.
Usage:
from permutation_no_repetition import cython_permutations
import numpy as np
inputarray1 = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=np.int32)
i1 = cython_permutations(inputarray1, start=0, end=-1)
print(i1)
inputarray2 = np.array(
[
[1, 2, 3, 4],
[3, 3, 3, 6],
[2, 0, 0, 2],
[2, 0, 0, 2],
[8, 2, 8, 2],
[4, 5, 4, 5],
[3, 3, 3, 6],
[4, 5, 4, 5],
[0, 9, 8, 7],
[1, 2, 3, 4],
]
)
i2 = cython_permutations(inputarray2, start=0, end=-1)
print(i2)
inputarray3 = np.array(
[
100,
1,
2,
2,
3,
4,
115,
5,
6,
7,
],
dtype=np.float32,
)
i3 = cython_permutations(inputarray3, start=0, end=-1)
print(i3)
int_array_7 = np.array([1, 2, 3, 4, 5, 6, 7], dtype=np.int32)
test_int_array_7 = cython_permutations(int_array_7, start=0, end=-1)
print(test_int_array_7)
int_array_8 = np.array([1, 2, 3, 4, 5, 6, 7, 8], dtype=np.int64)
test_int_array_8 = cython_permutations(int_array_8, start=0, end=-1)
print(test_int_array_8)
int_array_9 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=np.uint8)
test_int_array_9 = cython_permutations(int_array_9, start=0, end=-1)
print(test_int_array_9)
int_array_10 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=np.uint16)
test_int_array_10 = cython_permutations(int_array_10, start=0, end=-1)
print(test_int_array_10)
float_array_7 = np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7], dtype=np.float32)
test_float_array_7 = cython_permutations(float_array_7, start=0, end=-1)
print(test_float_array_7)
float_array_8 = np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], dtype=np.float64)
test_float_array_8 = cython_permutations(float_array_8, start=0, end=-1)
print(test_float_array_8)
complex_array_7 = np.array(
[1 + 2j, 3 + 4j, 5 + 6j, 7 + 8j, 9 + 10j, 11 + 12j, 13 + 14j], dtype=np.complex64
)
test_complex_array_7 = cython_permutations(complex_array_7, start=0, end=-1)
print(test_complex_array_7)
complex_array_8 = np.array(
[1 + 2j, 3 + 4j, 5 + 6j, 7 + 8j, 9 + 10j, 11 + 12j, 13 + 14j, 15 + 16j],
dtype=np.complex128,
)
test_complex_array_8 = cython_permutations(complex_array_8, start=0, end=-1)
print(test_complex_array_8)
bool_array_7 = np.array([True, False, True, False, True, False, True], dtype=np.bool_)
test_bool_array_7 = cython_permutations(bool_array_7, start=0, end=-1)
print(test_bool_array_7)
str_array_7 = np.array(
["apple", "banana", "cherry", "date", "elderberry", "fig", "grape"], dtype=np.str_
)
test_str_array_7 = cython_permutations(str_array_7, start=0, end=-1)
print(test_str_array_7)
unicode_array_7 = np.array(["α", "β", "γ", "δ", "ε", "ζ", "η"], dtype=np.unicode_)
test_unicode_array_7 = cython_permutations(unicode_array_7, start=0, end=-1)
print(test_unicode_array_7)
bytes_array_7 = np.array([b"a", b"b", b"c", b"d", b"e", b"f", b"g"], dtype="S1")
test_bytes_array_7 = cython_permutations(bytes_array_7, start=0, end=-1)
print(test_bytes_array_7)
bytes_array_8 = np.array([b"a", b"b", b"c", b"d", b"e", b"f", b"g", b"h"], dtype="S1")
test_bytes_array_8 = cython_permutations(bytes_array_8, start=0, end=-1)
print(test_bytes_array_8)
```
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"description": "\r\n# Permutation without repetition - written in Cython - for Numpy \r\n\r\n## pip install permutation-no-repetition\r\n\r\n### Tested against Windows / Python 3.11 / Anaconda\r\n\r\n\r\n### This module requires Cython and a C/C++ Compiler to be installed.\r\n\r\n```python\r\n\r\n\t\r\nThis module provides a Cython-based utility for generating permutations (without repetitions!) of arrays, supporting various data types and dimensions.\r\n\r\nUsage:\r\nfrom permutation_no_repetition import cython_permutations\r\nimport numpy as np\r\n\r\ninputarray1 = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=np.int32)\r\ni1 = cython_permutations(inputarray1, start=0, end=-1)\r\nprint(i1)\r\n\r\ninputarray2 = np.array(\r\n [\r\n [1, 2, 3, 4],\r\n [3, 3, 3, 6],\r\n [2, 0, 0, 2],\r\n [2, 0, 0, 2],\r\n [8, 2, 8, 2],\r\n [4, 5, 4, 5],\r\n [3, 3, 3, 6],\r\n [4, 5, 4, 5],\r\n [0, 9, 8, 7],\r\n [1, 2, 3, 4],\r\n ]\r\n)\r\ni2 = cython_permutations(inputarray2, start=0, end=-1)\r\nprint(i2)\r\n\r\ninputarray3 = np.array(\r\n [\r\n 100,\r\n 1,\r\n 2,\r\n 2,\r\n 3,\r\n 4,\r\n 115,\r\n 5,\r\n 6,\r\n 7,\r\n ],\r\n dtype=np.float32,\r\n)\r\ni3 = cython_permutations(inputarray3, start=0, end=-1)\r\nprint(i3)\r\n\r\nint_array_7 = np.array([1, 2, 3, 4, 5, 6, 7], dtype=np.int32)\r\ntest_int_array_7 = cython_permutations(int_array_7, start=0, end=-1)\r\nprint(test_int_array_7)\r\nint_array_8 = np.array([1, 2, 3, 4, 5, 6, 7, 8], dtype=np.int64)\r\ntest_int_array_8 = cython_permutations(int_array_8, start=0, end=-1)\r\nprint(test_int_array_8)\r\nint_array_9 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=np.uint8)\r\ntest_int_array_9 = cython_permutations(int_array_9, start=0, end=-1)\r\nprint(test_int_array_9)\r\nint_array_10 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=np.uint16)\r\ntest_int_array_10 = cython_permutations(int_array_10, start=0, end=-1)\r\nprint(test_int_array_10)\r\nfloat_array_7 = np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7], dtype=np.float32)\r\ntest_float_array_7 = cython_permutations(float_array_7, start=0, end=-1)\r\nprint(test_float_array_7)\r\nfloat_array_8 = np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], dtype=np.float64)\r\ntest_float_array_8 = cython_permutations(float_array_8, start=0, end=-1)\r\nprint(test_float_array_8)\r\ncomplex_array_7 = np.array(\r\n [1 + 2j, 3 + 4j, 5 + 6j, 7 + 8j, 9 + 10j, 11 + 12j, 13 + 14j], dtype=np.complex64\r\n)\r\ntest_complex_array_7 = cython_permutations(complex_array_7, start=0, end=-1)\r\nprint(test_complex_array_7)\r\ncomplex_array_8 = np.array(\r\n [1 + 2j, 3 + 4j, 5 + 6j, 7 + 8j, 9 + 10j, 11 + 12j, 13 + 14j, 15 + 16j],\r\n dtype=np.complex128,\r\n)\r\ntest_complex_array_8 = cython_permutations(complex_array_8, start=0, end=-1)\r\nprint(test_complex_array_8)\r\nbool_array_7 = np.array([True, False, True, False, True, False, True], dtype=np.bool_)\r\ntest_bool_array_7 = cython_permutations(bool_array_7, start=0, end=-1)\r\nprint(test_bool_array_7)\r\nstr_array_7 = np.array(\r\n [\"apple\", \"banana\", \"cherry\", \"date\", \"elderberry\", \"fig\", \"grape\"], dtype=np.str_\r\n)\r\ntest_str_array_7 = cython_permutations(str_array_7, start=0, end=-1)\r\nprint(test_str_array_7)\r\nunicode_array_7 = np.array([\"\u03b1\", \"\u03b2\", \"\u03b3\", \"\u03b4\", \"\u03b5\", \"\u03b6\", \"\u03b7\"], dtype=np.unicode_)\r\ntest_unicode_array_7 = cython_permutations(unicode_array_7, start=0, end=-1)\r\nprint(test_unicode_array_7)\r\nbytes_array_7 = np.array([b\"a\", b\"b\", b\"c\", b\"d\", b\"e\", b\"f\", b\"g\"], dtype=\"S1\")\r\ntest_bytes_array_7 = cython_permutations(bytes_array_7, start=0, end=-1)\r\nprint(test_bytes_array_7)\r\nbytes_array_8 = np.array([b\"a\", b\"b\", b\"c\", b\"d\", b\"e\", b\"f\", b\"g\", b\"h\"], dtype=\"S1\")\r\ntest_bytes_array_8 = cython_permutations(bytes_array_8, start=0, end=-1)\r\nprint(test_bytes_array_8)\r\n\r\n```\r\n",
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