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author | gfyoung <gfyoung17@gmail.com> | 2015-12-19 16:49:35 -0800 |
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committer | gfyoung <gfyoung17@gmail.com> | 2015-12-19 16:50:09 -0800 |
commit | 8bc592fabf4a2b0bc76db996b1523330ba095be3 (patch) | |
tree | c8a1a549e5a093a9433fe9a50a6e0e8bb5358ab1 /numpy/doc | |
parent | e2bdaccba1a8691f9223b059b981b2890bb13b09 (diff) | |
download | python-numpy-8bc592fabf4a2b0bc76db996b1523330ba095be3.tar.gz python-numpy-8bc592fabf4a2b0bc76db996b1523330ba095be3.tar.bz2 python-numpy-8bc592fabf4a2b0bc76db996b1523330ba095be3.zip |
DOC: Use print only as function when print_function is imported from __future__
Closes gh-6863.
Diffstat (limited to 'numpy/doc')
-rw-r--r-- | numpy/doc/glossary.py | 6 | ||||
-rw-r--r-- | numpy/doc/misc.py | 2 | ||||
-rw-r--r-- | numpy/doc/subclassing.py | 36 |
3 files changed, 22 insertions, 22 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py index 9dacd1cb5..4a3238491 100644 --- a/numpy/doc/glossary.py +++ b/numpy/doc/glossary.py @@ -109,7 +109,7 @@ Glossary >>> def log(f): ... def new_logging_func(*args, **kwargs): - ... print "Logging call with parameters:", args, kwargs + ... print("Logging call with parameters:", args, kwargs) ... return f(*args, **kwargs) ... ... return new_logging_func @@ -185,7 +185,7 @@ Glossary It is often used in combintion with ``enumerate``:: >>> keys = ['a','b','c'] >>> for n, k in enumerate(keys): - ... print "Key %d: %s" % (n, k) + ... print("Key %d: %s" % (n, k)) ... Key 0: a Key 1: b @@ -315,7 +315,7 @@ Glossary ... color = 'blue' ... ... def paint(self): - ... print "Painting the city %s!" % self.color + ... print("Painting the city %s!" % self.color) ... >>> p = Paintbrush() >>> p.color = 'red' diff --git a/numpy/doc/misc.py b/numpy/doc/misc.py index 1709ad66d..e30caf0cb 100644 --- a/numpy/doc/misc.py +++ b/numpy/doc/misc.py @@ -86,7 +86,7 @@ Examples >>> np.sqrt(np.array([-1.])) FloatingPointError: invalid value encountered in sqrt >>> def errorhandler(errstr, errflag): - ... print "saw stupid error!" + ... print("saw stupid error!") >>> np.seterrcall(errorhandler) <function err_handler at 0x...> >>> j = np.seterr(all='call') diff --git a/numpy/doc/subclassing.py b/numpy/doc/subclassing.py index a62fc2d6d..85327feab 100644 --- a/numpy/doc/subclassing.py +++ b/numpy/doc/subclassing.py @@ -123,13 +123,13 @@ For example, consider the following Python code: class C(object): def __new__(cls, *args): - print 'Cls in __new__:', cls - print 'Args in __new__:', args + print('Cls in __new__:', cls) + print('Args in __new__:', args) return object.__new__(cls, *args) def __init__(self, *args): - print 'type(self) in __init__:', type(self) - print 'Args in __init__:', args + print('type(self) in __init__:', type(self)) + print('Args in __init__:', args) meaning that we get: @@ -159,13 +159,13 @@ of some other class. Consider the following: class D(C): def __new__(cls, *args): - print 'D cls is:', cls - print 'D args in __new__:', args + print('D cls is:', cls) + print('D args in __new__:', args) return C.__new__(C, *args) def __init__(self, *args): # we never get here - print 'In D __init__' + print('In D __init__') meaning that: @@ -242,18 +242,18 @@ The following code allows us to look at the call sequences and arguments: class C(np.ndarray): def __new__(cls, *args, **kwargs): - print 'In __new__ with class %s' % cls + print('In __new__ with class %s' % cls) return np.ndarray.__new__(cls, *args, **kwargs) def __init__(self, *args, **kwargs): # in practice you probably will not need or want an __init__ # method for your subclass - print 'In __init__ with class %s' % self.__class__ + print('In __init__ with class %s' % self.__class__) def __array_finalize__(self, obj): - print 'In array_finalize:' - print ' self type is %s' % type(self) - print ' obj type is %s' % type(obj) + print('In array_finalize:') + print(' self type is %s' % type(self)) + print(' obj type is %s' % type(obj)) Now: @@ -441,16 +441,16 @@ some print statements: return obj def __array_finalize__(self, obj): - print 'In __array_finalize__:' - print ' self is %s' % repr(self) - print ' obj is %s' % repr(obj) + print('In __array_finalize__:') + print(' self is %s' % repr(self)) + print(' obj is %s' % repr(obj)) if obj is None: return self.info = getattr(obj, 'info', None) def __array_wrap__(self, out_arr, context=None): - print 'In __array_wrap__:' - print ' self is %s' % repr(self) - print ' arr is %s' % repr(out_arr) + print('In __array_wrap__:') + print(' self is %s' % repr(self)) + print(' arr is %s' % repr(out_arr)) # then just call the parent return np.ndarray.__array_wrap__(self, out_arr, context) |