def _roperation(self, func, other):
return _operation.operation(func,
other,
self,
broadcast=get_option('op.broadcast'),
reindex=get_option('op.reindex'),
constructor=self._constructor)
def analize():
import operation
temp = operation.operation(txt["text"])
tempArr = {
"wordCount": temp.calculateWordCount(),
"letters": temp.letterCount(),
"longest": temp.longest(),
"avgLength": temp.avgLength(),
"duration": temp.duration(),
"medianWordLength": temp.med_word_count(),
"medianWord": temp.med_word(),
"language": temp.detect_Language()
}
return json.dumps(tempArr)
def _roperation(self, func, other):
return _operation.operation(func, other, self, broadcast=get_option('op.broadcast'), reindex=get_option('op.reindex'), constructor=self._constructor)
def _operation(self, func, other):
""" make an operation: this include axis and dimensions alignment
Just for testing:
>>> b = DimArray([[0.,1],[1,2]])
>>> b
... # doctest: +SKIP
array([[ 0., 1.],
[ 1., 2.]])
>>> np.all(b == b)
True
>>> np.all(b+2 == b + np.ones(b.shape)*2)
True
>>> np.all(b+b == b*2)
True
>>> np.all(b*b == b**2)
True
>>> np.all((b - b.values) == b - b)
True
>>> -b
dimarray: 4 non-null elements (0 null)
dimensions: 'x0', 'x1'
0 / x0 (2): 0 to 1
1 / x1 (2): 0 to 1
array([[-0., -1.],
[-1., -2.]])
>>> np.all(-b == 0. - b)
True
True divide by default
>>> a = DimArray([1,2,3])
>>> a/2
dimarray: 3 non-null elements (0 null)
dimensions: 'x0'
0 / x0 (3): 0 to 2
array([ 0.5, 1. , 1.5])
>>> a//2
dimarray: 3 non-null elements (0 null)
dimensions: 'x0'
0 / x0 (3): 0 to 2
array([0, 1, 1])
Test group/corps structure (result of operation remains DimArray)
>>> a = DimArray([[1.,2,3],[4,5,6]])
>>> isinstance(a + 2., DimArray)
True
>>> isinstance(2. + a, DimArray)
True
>>> isinstance(2 * a, DimArray)
True
>>> isinstance(a * 2, DimArray)
True
>>> isinstance(2 / a, DimArray)
True
>>> isinstance(a / 2, DimArray)
True
>>> isinstance(2 - a, DimArray)
True
>>> isinstance(a - 2, DimArray)
True
>>> s = 0.
>>> for i in range(5):
... s = s + a
>>> isinstance(a, DimArray)
True
>>> np.all(s == 5*a)
True
"""
result = _operation.operation(func, self, other, broadcast=get_option('op.broadcast'), reindex=get_option('op.reindex'), constructor=self._constructor)
return result
from sys import argv, path
from os import getcwd
path.insert(0, '{0}/clases'.format(getcwd()))
from operation import operation
if len(argv) > 1:
if len(argv) > 2:
if argv[1] == '-i' and argv[2] != None:
import install
install.installPackage(argv[2])
operation()
elif argv[1] == '-u' and argv[2] != None:
import unistall
unistall.uninstallPackage(argv[2])
operation()
else:
print("""
(Linux Package Manager)
==============================
(-i) for installing a package
(-u) for unistalling a package
------------------------------
then write the package name
""")
else:
print("""
(Linux Package Manager)
(1) for installing a package
(2) for unistalling a package
""")
def _operation(self, func, other):
""" make an operation: this include axis and dimensions alignment
Just for testing:
>>> b = DimArray([[0.,1],[1,2]])
>>> b
... # doctest: +SKIP
array([[ 0., 1.],
[ 1., 2.]])
>>> np.all(b == b)
True
>>> np.all(b+2 == b + np.ones(b.shape)*2)
True
>>> np.all(b+b == b*2)
True
>>> np.all(b*b == b**2)
True
>>> np.all((b - b.values) == b - b)
True
>>> -b
dimarray: 4 non-null elements (0 null)
dimensions: 'x0', 'x1'
0 / x0 (2): 0 to 1
1 / x1 (2): 0 to 1
array([[-0., -1.],
[-1., -2.]])
>>> np.all(-b == 0. - b)
True
True divide by default
>>> a = DimArray([1,2,3])
>>> a/2
dimarray: 3 non-null elements (0 null)
dimensions: 'x0'
0 / x0 (3): 0 to 2
array([ 0.5, 1. , 1.5])
>>> a//2
dimarray: 3 non-null elements (0 null)
dimensions: 'x0'
0 / x0 (3): 0 to 2
array([0, 1, 1])
Test group/corps structure (result of operation remains DimArray)
>>> a = DimArray([[1.,2,3],[4,5,6]])
>>> isinstance(a + 2., DimArray)
True
>>> isinstance(2. + a, DimArray)
True
>>> isinstance(2 * a, DimArray)
True
>>> isinstance(a * 2, DimArray)
True
>>> isinstance(2 / a, DimArray)
True
>>> isinstance(a / 2, DimArray)
True
>>> isinstance(2 - a, DimArray)
True
>>> isinstance(a - 2, DimArray)
True
>>> s = 0.
>>> for i in range(5):
... s = s + a
>>> isinstance(a, DimArray)
True
>>> np.all(s == 5*a)
True
"""
result = _operation.operation(func,
self,
other,
broadcast=get_option('op.broadcast'),
reindex=get_option('op.reindex'),
constructor=self._constructor)
return result