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/dports/science/ghmm/ghmm-0.9-rc3/ghmmwrapper/
H A Dmixture.py39 import numarray
102 l = numarray.zeros((len(seqs), len(models)), numarray.Float)
104 logalpha = numarray.ones(len(models), numarray.Float) * \
107 logalpha = numarray.log(alpha)
108 print logalpha, numarray.exp(logalpha)
116 l[:,i] = numarray.array(loglikelihood)
122 mixture_likelihood = numarray.sum(numarray.sum(l))
135 l_exp = numarray.exp(l) # XXX Use approx with table lookup
154 return (mixture_likelihood, numarray.exp(logalpha), l_exp)
165 nr_seqs = numarray.shape(P)[0]
[all …]
/dports/math/plplot/plplot-5.15.0/examples/python/
H A Dtest_plsmem.py.in29 import numpy.numarray
85 data = numpy.numarray.zeros((width,height))
100 background = numpy.numarray.zeros(3, numpy.uint8) + 30
101 my_buffer = numpy.numarray.zeros((height,width,3), numpy.uint8) + background
104 background = numpy.numarray.zeros(4, numpy.uint8) + 30
106 my_buffera = numpy.numarray.zeros((height,width,4), numpy.uint8) + background
/dports/math/plplot-ada/plplot-5.15.0/examples/python/
H A Dtest_plsmem.py.in29 import numpy.numarray
85 data = numpy.numarray.zeros((width,height))
100 background = numpy.numarray.zeros(3, numpy.uint8) + 30
101 my_buffer = numpy.numarray.zeros((height,width,3), numpy.uint8) + background
104 background = numpy.numarray.zeros(4, numpy.uint8) + 30
106 my_buffera = numpy.numarray.zeros((height,width,4), numpy.uint8) + background
/dports/net-mgmt/monitoring-plugins/monitoring-plugins-2.3.1/plugins/tests/
H A Dcheck_snmp_agent.pl60 my @numarray = $oid->to_array();
61 if (@numarray != $oidelts) {
62 if ($request_info->getMode() == MODE_GETNEXT && @numarray == ($oidelts - 1)) {
64 push(@numarray, 0);
73 $index = pop(@numarray);
/dports/net-mgmt/nagios-plugins/nagios-plugins-2.3.3/plugins/tests/
H A Dcheck_snmp_agent.pl60 my @numarray = $oid->to_array();
61 if (@numarray != $oidelts) {
62 if ($request_info->getMode() == MODE_GETNEXT && @numarray == ($oidelts - 1)) {
64 push(@numarray, 0);
73 $index = pop(@numarray);
/dports/lang/janet/janet-1.19.2/examples/numarray/
H A Dproject.janet2 :name "numarray"
6 :name "numarray"
7 :source @["numarray.c"])
/dports/lang/janet/janet-1.19.2/examples/numarray/test/
H A Dnumarray_tests.janet1 (import build/numarray)
3 (def a (numarray/new 30))
12 # (numarray/scale a 5))
/dports/x11-toolkits/gnustep-back/libs-back-back-0_28_0/Source/art/
H A DARTGState.m144 CGFloat numarray[2];
153 numarray[0] = ax;
154 numarray[1] = ay;
165 deltas: numarray : 1 : 4
177 CGFloat numarray[4];
186 numarray[0] = ax;
187 numarray[1] = ay;
188 numarray[2] = cx;
189 numarray[3] = cy;
251 CGFloat numarray[2];
[all …]
/dports/lang/python-legacy/Python-2.7.18/Lib/ctypes/test/
H A Dtest_arrays.py79 numarray = ARRAY(c_int, alen)
81 na = numarray()
85 na = numarray(*[c_int()] * alen)
89 na = numarray(1, 2, 3, 4, 5)
93 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python27/Python-2.7.18/Lib/ctypes/test/
H A Dtest_arrays.py79 numarray = ARRAY(c_int, alen)
81 na = numarray()
85 na = numarray(*[c_int()] * alen)
89 na = numarray(1, 2, 3, 4, 5)
93 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/science/rdkit/rdkit-Release_2021_03_5/Code/cmake/Modules/
H A DFindNumPy.cmake2 # Try to find numarray python package
5 # PYTHON_NUMPY_FOUND - system has numarray development package and it should be used
22 …ectory where the arrayobject.h header file can be found. This file is part of the numarray package"
/dports/x11-toolkits/gnustep-gui/libs-gui-gui-0_28_0/Headers/AppKit/
H A DPSOperators.h107 PSxshow(const char* s, const CGFloat* numarray, int size)
111 PSxyshow(const char* s, const CGFloat* numarray, int size)
115 PSyshow(const char* s, const CGFloat* numarray, int size)
470 PSxshow(const char* s, const CGFloat* numarray, int size) in PSxshow() argument
472 DPSxshow(DEFCTXT, s, numarray, size); in PSxshow()
476 PSxyshow(const char* s, const CGFloat* numarray, int size) in PSxyshow() argument
478 DPSxyshow(DEFCTXT, s, numarray, size); in PSxyshow()
482 PSyshow(const char* s, const CGFloat* numarray, int size) in PSyshow() argument
484 DPSyshow(DEFCTXT, s, numarray, size); in PSyshow()
/dports/databases/py-gdbm/Python-3.8.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/databases/py-sqlite3/Python-3.8.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python310/Python-3.10.1/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python37/Python-3.7.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python38/Python-3.8.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python-tools/Python-3.8.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python39/Python-3.9.9/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/x11-toolkits/py-tkinter/Python-3.8.12/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/lang/python311/Python-3.11.0a3/Lib/ctypes/test/
H A Dtest_arrays.py87 numarray = ARRAY(c_int, alen)
89 na = numarray()
93 na = numarray(*[c_int()] * alen)
97 na = numarray(1, 2, 3, 4, 5)
101 na = numarray(*map(c_int, (1, 2, 3, 4, 5)))
/dports/devel/py-tables/tables-3.6.1/doc/source/cookbook/
H A Dno_root_install.rst72 tar xzvf numarray-1.5.2.tar.gz
76 cd numarray-1.5.2
92 cp -r numarray ~/software/hdf5/include/
151 * It should now start Python. And you should be able to import `numarray`
157 >>> import numarray
191 .. ERROR:: Can't find a local numarray Python installation.
193 PyTables needs the numarray package to compile and run.}}}
/dports/databases/percona57-pam-for-mysql/boost_1_59_0/libs/python/test/
H A Dnumpy.py30 try: import numarray
34 m = numarray
/dports/databases/mysqlwsrep57-server/boost_1_59_0/libs/python/test/
H A Dnumpy.py30 try: import numarray
34 m = numarray
/dports/databases/percona57-server/boost_1_59_0/libs/python/test/
H A Dnumpy.py30 try: import numarray
34 m = numarray

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