mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-11-14 11:08:15 +01:00
417 lines
9 KiB
Python
417 lines
9 KiB
Python
# -*- coding: utf-8 -*-
|
||
"""
|
||
=========
|
||
Constants
|
||
=========
|
||
|
||
.. currentmodule:: numpy
|
||
|
||
NumPy includes several constants:
|
||
|
||
%(constant_list)s
|
||
"""
|
||
#
|
||
# Note: the docstring is autogenerated.
|
||
#
|
||
import re
|
||
import textwrap
|
||
|
||
# Maintain same format as in numpy.add_newdocs
|
||
constants = []
|
||
def add_newdoc(module, name, doc):
|
||
constants.append((name, doc))
|
||
|
||
add_newdoc('numpy', 'pi',
|
||
"""
|
||
``pi = 3.1415926535897932384626433...``
|
||
|
||
References
|
||
----------
|
||
https://en.wikipedia.org/wiki/Pi
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'e',
|
||
"""
|
||
Euler's constant, base of natural logarithms, Napier's constant.
|
||
|
||
``e = 2.71828182845904523536028747135266249775724709369995...``
|
||
|
||
See Also
|
||
--------
|
||
exp : Exponential function
|
||
log : Natural logarithm
|
||
|
||
References
|
||
----------
|
||
https://en.wikipedia.org/wiki/E_%28mathematical_constant%29
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'euler_gamma',
|
||
"""
|
||
``γ = 0.5772156649015328606065120900824024310421...``
|
||
|
||
References
|
||
----------
|
||
https://en.wikipedia.org/wiki/Euler-Mascheroni_constant
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'inf',
|
||
"""
|
||
IEEE 754 floating point representation of (positive) infinity.
|
||
|
||
Returns
|
||
-------
|
||
y : float
|
||
A floating point representation of positive infinity.
|
||
|
||
See Also
|
||
--------
|
||
isinf : Shows which elements are positive or negative infinity
|
||
|
||
isposinf : Shows which elements are positive infinity
|
||
|
||
isneginf : Shows which elements are negative infinity
|
||
|
||
isnan : Shows which elements are Not a Number
|
||
|
||
isfinite : Shows which elements are finite (not one of Not a Number,
|
||
positive infinity and negative infinity)
|
||
|
||
Notes
|
||
-----
|
||
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
|
||
(IEEE 754). This means that Not a Number is not equivalent to infinity.
|
||
Also that positive infinity is not equivalent to negative infinity. But
|
||
infinity is equivalent to positive infinity.
|
||
|
||
`Inf`, `Infinity`, `PINF` and `infty` are aliases for `inf`.
|
||
|
||
Examples
|
||
--------
|
||
>>> np.inf
|
||
inf
|
||
>>> np.array([1]) / 0.
|
||
array([ Inf])
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'nan',
|
||
"""
|
||
IEEE 754 floating point representation of Not a Number (NaN).
|
||
|
||
Returns
|
||
-------
|
||
y : A floating point representation of Not a Number.
|
||
|
||
See Also
|
||
--------
|
||
isnan : Shows which elements are Not a Number.
|
||
|
||
isfinite : Shows which elements are finite (not one of
|
||
Not a Number, positive infinity and negative infinity)
|
||
|
||
Notes
|
||
-----
|
||
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
|
||
(IEEE 754). This means that Not a Number is not equivalent to infinity.
|
||
|
||
`NaN` and `NAN` are aliases of `nan`.
|
||
|
||
Examples
|
||
--------
|
||
>>> np.nan
|
||
nan
|
||
>>> np.log(-1)
|
||
nan
|
||
>>> np.log([-1, 1, 2])
|
||
array([ NaN, 0. , 0.69314718])
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'newaxis',
|
||
"""
|
||
A convenient alias for None, useful for indexing arrays.
|
||
|
||
See Also
|
||
--------
|
||
`numpy.doc.indexing`
|
||
|
||
Examples
|
||
--------
|
||
>>> newaxis is None
|
||
True
|
||
>>> x = np.arange(3)
|
||
>>> x
|
||
array([0, 1, 2])
|
||
>>> x[:, newaxis]
|
||
array([[0],
|
||
[1],
|
||
[2]])
|
||
>>> x[:, newaxis, newaxis]
|
||
array([[[0]],
|
||
[[1]],
|
||
[[2]]])
|
||
>>> x[:, newaxis] * x
|
||
array([[0, 0, 0],
|
||
[0, 1, 2],
|
||
[0, 2, 4]])
|
||
|
||
Outer product, same as ``outer(x, y)``:
|
||
|
||
>>> y = np.arange(3, 6)
|
||
>>> x[:, newaxis] * y
|
||
array([[ 0, 0, 0],
|
||
[ 3, 4, 5],
|
||
[ 6, 8, 10]])
|
||
|
||
``x[newaxis, :]`` is equivalent to ``x[newaxis]`` and ``x[None]``:
|
||
|
||
>>> x[newaxis, :].shape
|
||
(1, 3)
|
||
>>> x[newaxis].shape
|
||
(1, 3)
|
||
>>> x[None].shape
|
||
(1, 3)
|
||
>>> x[:, newaxis].shape
|
||
(3, 1)
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'NZERO',
|
||
"""
|
||
IEEE 754 floating point representation of negative zero.
|
||
|
||
Returns
|
||
-------
|
||
y : float
|
||
A floating point representation of negative zero.
|
||
|
||
See Also
|
||
--------
|
||
PZERO : Defines positive zero.
|
||
|
||
isinf : Shows which elements are positive or negative infinity.
|
||
|
||
isposinf : Shows which elements are positive infinity.
|
||
|
||
isneginf : Shows which elements are negative infinity.
|
||
|
||
isnan : Shows which elements are Not a Number.
|
||
|
||
isfinite : Shows which elements are finite - not one of
|
||
Not a Number, positive infinity and negative infinity.
|
||
|
||
Notes
|
||
-----
|
||
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
|
||
(IEEE 754). Negative zero is considered to be a finite number.
|
||
|
||
Examples
|
||
--------
|
||
>>> np.NZERO
|
||
-0.0
|
||
>>> np.PZERO
|
||
0.0
|
||
|
||
>>> np.isfinite([np.NZERO])
|
||
array([ True])
|
||
>>> np.isnan([np.NZERO])
|
||
array([False])
|
||
>>> np.isinf([np.NZERO])
|
||
array([False])
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'PZERO',
|
||
"""
|
||
IEEE 754 floating point representation of positive zero.
|
||
|
||
Returns
|
||
-------
|
||
y : float
|
||
A floating point representation of positive zero.
|
||
|
||
See Also
|
||
--------
|
||
NZERO : Defines negative zero.
|
||
|
||
isinf : Shows which elements are positive or negative infinity.
|
||
|
||
isposinf : Shows which elements are positive infinity.
|
||
|
||
isneginf : Shows which elements are negative infinity.
|
||
|
||
isnan : Shows which elements are Not a Number.
|
||
|
||
isfinite : Shows which elements are finite - not one of
|
||
Not a Number, positive infinity and negative infinity.
|
||
|
||
Notes
|
||
-----
|
||
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
|
||
(IEEE 754). Positive zero is considered to be a finite number.
|
||
|
||
Examples
|
||
--------
|
||
>>> np.PZERO
|
||
0.0
|
||
>>> np.NZERO
|
||
-0.0
|
||
|
||
>>> np.isfinite([np.PZERO])
|
||
array([ True])
|
||
>>> np.isnan([np.PZERO])
|
||
array([False])
|
||
>>> np.isinf([np.PZERO])
|
||
array([False])
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'NAN',
|
||
"""
|
||
IEEE 754 floating point representation of Not a Number (NaN).
|
||
|
||
`NaN` and `NAN` are equivalent definitions of `nan`. Please use
|
||
`nan` instead of `NAN`.
|
||
|
||
See Also
|
||
--------
|
||
nan
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'NaN',
|
||
"""
|
||
IEEE 754 floating point representation of Not a Number (NaN).
|
||
|
||
`NaN` and `NAN` are equivalent definitions of `nan`. Please use
|
||
`nan` instead of `NaN`.
|
||
|
||
See Also
|
||
--------
|
||
nan
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'NINF',
|
||
"""
|
||
IEEE 754 floating point representation of negative infinity.
|
||
|
||
Returns
|
||
-------
|
||
y : float
|
||
A floating point representation of negative infinity.
|
||
|
||
See Also
|
||
--------
|
||
isinf : Shows which elements are positive or negative infinity
|
||
|
||
isposinf : Shows which elements are positive infinity
|
||
|
||
isneginf : Shows which elements are negative infinity
|
||
|
||
isnan : Shows which elements are Not a Number
|
||
|
||
isfinite : Shows which elements are finite (not one of Not a Number,
|
||
positive infinity and negative infinity)
|
||
|
||
Notes
|
||
-----
|
||
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
|
||
(IEEE 754). This means that Not a Number is not equivalent to infinity.
|
||
Also that positive infinity is not equivalent to negative infinity. But
|
||
infinity is equivalent to positive infinity.
|
||
|
||
Examples
|
||
--------
|
||
>>> np.NINF
|
||
-inf
|
||
>>> np.log(0)
|
||
-inf
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'PINF',
|
||
"""
|
||
IEEE 754 floating point representation of (positive) infinity.
|
||
|
||
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
|
||
`inf`. For more details, see `inf`.
|
||
|
||
See Also
|
||
--------
|
||
inf
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'infty',
|
||
"""
|
||
IEEE 754 floating point representation of (positive) infinity.
|
||
|
||
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
|
||
`inf`. For more details, see `inf`.
|
||
|
||
See Also
|
||
--------
|
||
inf
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'Inf',
|
||
"""
|
||
IEEE 754 floating point representation of (positive) infinity.
|
||
|
||
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
|
||
`inf`. For more details, see `inf`.
|
||
|
||
See Also
|
||
--------
|
||
inf
|
||
|
||
""")
|
||
|
||
add_newdoc('numpy', 'Infinity',
|
||
"""
|
||
IEEE 754 floating point representation of (positive) infinity.
|
||
|
||
Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
|
||
`inf`. For more details, see `inf`.
|
||
|
||
See Also
|
||
--------
|
||
inf
|
||
|
||
""")
|
||
|
||
|
||
if __doc__:
|
||
constants_str = []
|
||
constants.sort()
|
||
for name, doc in constants:
|
||
s = textwrap.dedent(doc).replace("\n", "\n ")
|
||
|
||
# Replace sections by rubrics
|
||
lines = s.split("\n")
|
||
new_lines = []
|
||
for line in lines:
|
||
m = re.match(r'^(\s+)[-=]+\s*$', line)
|
||
if m and new_lines:
|
||
prev = textwrap.dedent(new_lines.pop())
|
||
new_lines.append('%s.. rubric:: %s' % (m.group(1), prev))
|
||
new_lines.append('')
|
||
else:
|
||
new_lines.append(line)
|
||
s = "\n".join(new_lines)
|
||
|
||
# Done.
|
||
constants_str.append(""".. data:: %s\n %s""" % (name, s))
|
||
constants_str = "\n".join(constants_str)
|
||
|
||
__doc__ = __doc__ % dict(constant_list=constants_str)
|
||
del constants_str, name, doc
|
||
del line, lines, new_lines, m, s, prev
|
||
|
||
del constants, add_newdoc
|