functions - utils

wetb/fatigue_tools/rainflowcounting/compile.py

-import sys
-sys.path.append("../../../../MMPE/")
-from mmpe.cython_compile.cython_compile import cython_import
+from wetb.utils.cython_compile.cython_compile import cython_import
+
 
 cython_import('pair_range')
 cython_import('peak_trough')

wetb/fatigue_tools/rainflowcounting/rainflowcount.py

 import numpy as np
+from wetb.utils.cython_compile.cython_compile import cython_import
+
+
 def check_signal(signal):
     # check input data validity
     if not type(signal).__name__ == 'ndarray':
@@ -61,13 +64,18 @@ def rainflow_windap(signal, levels=255., thresshold=(255 / 50)):
         signal = signal / gain
         signal = np.round(signal).astype(np.int)
 
+
+        # If possible the module is compiled using cython otherwise the python implementation is used
+        cython_import('wetb.fatigue_tools.rainflowcounting.peak_trough')
+        cython_import('wetb.fatigue_tools.rainflowcounting.pair_range')
+
         from wetb.fatigue_tools.rainflowcounting.peak_trough import peak_trough
+        from wetb.fatigue_tools.rainflowcounting.pair_range import pair_range_amplitude_mean
 
 
         #Convert to list of local minima/maxima where difference > thresshold
         sig_ext = peak_trough(signal, thresshold)
 
-        from wetb.fatigue_tools.rainflowcounting.pair_range import pair_range_amplitude_mean
 
         #rainflow count
         ampl_mean = pair_range_amplitude_mean(sig_ext)
@@ -114,7 +122,7 @@ def rainflow_astm(signal):
 
     # Import find extremes and rainflow.
     # If possible the module is compiled using cython otherwise the python implementation is used
-    #cython_import('fatigue_tools.rainflowcount_astm')
+    cython_import('wetb.fatigue_tools.rainflowcounting.rainflowcount_astm')
     from wetb.fatigue_tools.rainflowcounting.rainflowcount_astm import find_extremes, rainflowcount
 
     # Remove points which is not local minimum/maximum
@@ -123,4 +131,4 @@ def rainflow_astm(signal):
     # rainflow count
     ampl_mean = np.array(rainflowcount(sig_ext))
 
-    return np.array(ampl_mean).T
\ No newline at end of file
+    return np.array(ampl_mean).T

wetb/gtsdf/tests/test_unix_time.py

+'''
+Created on 03/12/2015
+
+@author: mmpe
+'''
+import unittest
+import numpy as np
+import datetime
+from wetb.utils.timing import print_time
+from wetb.gtsdf.unix_time import to_unix
+
+class Test(unittest.TestCase):
+
+    @print_time
+    def r(self, dt):
+        return [to_unix(dt) for dt in dt]
+
+    def test_to_unix(self):
+        dt = [datetime.datetime(2000, 1, 1, 12, s % 60) for s in np.arange(1000000)]
+        self.r(dt)
+
+if __name__ == "__main__":
+    #import sys;sys.argv = ['', 'Test.testName']
+    unittest.main()

wetb/utils/caching.py

+'''
+Created on 07/02/2014
+
+@author: MMPE
+'''
+import inspect
+
+def set_cache_property(obj, name, get_func, set_func=None):
+    """Create a cached property
+
+    Parameters
+    ----------
+    obj : object
+        Class to add property to
+    name : str
+        Name of property
+    get_func : func
+        Getter function
+    set_func : func, optional
+        Setter function
+
+    Examples
+    --------
+    >>> class Example(object):
+    >>>     def __init__(self):
+    >>>        set_cache_property(self, "test", self.slow_function)
+    >>>
+    >>> e = Example()
+    >>> e.test # Call, store and return result of e.slow_function
+    >>> e.test # Return stored result of e.slow_function
+    """
+    _name = "_" + name
+    setattr(obj, _name, None)
+    def get(self):
+        if getattr(obj, _name) is None:
+            setattr(obj, _name, get_func())
+        return getattr(obj, _name)
+
+    p = property(lambda self:get(self), set_func)
+    return setattr(obj.__class__, name, p)
+
+def cache_function(f):
+    """Cache function decorator
+
+    Example:
+    >>> class Example(object):
+    >>>    @cache_function
+    >>>    def slow_function(self):
+    >>>        # calculate slow result
+    >>>        return 1
+    >>>
+    >>> e = Example()
+    >>> e.slow_function() # Call, store and return result of e.slow_function
+    >>> e.slow_function() # Return stored result of e.slow_function
+    """
+    def wrap(*args, **kwargs):
+        self = args[0]
+        name = "_" + f.__name__
+        if not hasattr(self, name) or getattr(self, name) is None or kwargs.get("reload", False):
+            try:
+                del kwargs['reload']
+            except KeyError:
+                pass
+            # ======HERE============
+            setattr(self, name, f(*args, **kwargs))
+            # ======================
+            if not hasattr(self, "cache_attr_lst"):
+                self.cache_attr_lst = set()
+                def clear_cache():
+                    for attr in self.cache_attr_lst:
+                        delattr(self, attr)
+                    self.cache_attr_lst = set()
+                self.clear_cache = clear_cache
+            self.cache_attr_lst.add(name)
+
+        return getattr(self, name)
+    if 'reload' in inspect.getargspec(f)[0]:
+        raise AttributeError("Functions decorated with cache_function are not allowed to take a parameter called 'reload'")
+    return wrap
+

wetb/utils/cython_compile/__init__.py

+d = None;d = dir()
+
+from .cython_compile import cython_compile, cython_import, cython_compile_autodeclare, is_compiled
+
+__all__ = [m for m in set(dir()) - set(d)]
\ No newline at end of file

wetb/utils/cython_compile/examples/cycheck.py

+'''
+Created on 29/03/2013
+
+@author: Mads
+'''
+import cython
+import math
+
+
+def cycheck(p):
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True
+
+@cython.ccall
+@cython.locals(y=cython.int, p=cython.ulonglong)
+def cycheck_pure(p):
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True
+
+
+def cycheck_cdef(p):  #cpdef cycheck_cdef(unsigned long long p):
+    #cdef int y
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True

wetb/utils/cython_compile/examples/examples.py

+'''
+Created on 11/07/2013
+
+@author: Mads M. Pedersen (mmpe@dtu.dk)
+'''
+import math
+
+from wetb.utils.cython_compile.cython_compile import cython_compile, \
+    cython_compile_autodeclare, cython_import
+from wetb.utils.cython_compile.examples import cycheck
+
+
+def pycheck(p):
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True
+
+
+@cython_compile
+def cycheck_compile(p):
+    import math
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True
+
+
+@cython_compile_autodeclare
+def cycheck_compile_autodeclare(p):
+    import math
+    for i in range(10):
+        for y in range(2, int(math.sqrt(p)) + 1):
+            if p % y == 0:
+                return False
+    return True
+
+
+p = 17
+
+print (pycheck(p))
+
+cython_import('cycheck')
+print (cycheck.cycheck(p))
+print (cycheck.cycheck_pure(p))
+print (cycheck.cycheck_cdef(p))
+
+print (cycheck_compile(p))
+
+print (cycheck_compile_autodeclare(p))
+
+

wetb/utils/geometry.py

+import numpy as np
+
+def rad(deg):
+    return deg * np.pi / 180
+
+def deg(rad):
+    return rad / np.pi * 180
+
+def sind(dir_deg):
+    return np.sin(rad(dir_deg))
+
+def cosd(dir_deg):
+    return np.cos(rad(dir_deg))
+
+def tand(dir_deg):
+    return np.tan(rad(dir_deg))
+
+def mean_deg(dir, axis=0):
+    """Mean of angles in degrees
+
+    Parameters
+    ----------
+    dir : array_like
+        Angles in degrees
+
+    Returns
+    -------
+    mean_deg : float
+        Mean angle
+    """
+    return deg(np.arctan2(np.mean(sind(dir[:]), axis), np.mean(cosd(dir[:]), axis)))
+
+def std_deg(dir):
+    """Standard deviation of angles in degrees
+
+    Parameters
+    ----------
+    dir : array_like
+        Angles in degrees
+
+    Returns
+    -------
+    std_deg : float
+        standard deviation
+    """
+    return deg(np.sqrt(1 - (np.mean(sind(dir)) ** 2 + np.mean(cosd(dir)) ** 2)))
+
+
+def wsp_dir2uv(wsp, dir, dir_ref=None):
+    """Convert horizontal wind speed and direction to u,v
+
+    Parameters
+    ----------
+    wsp : array_like
+        Horizontal wind speed
+    dir : array_like
+        Wind direction
+    dir_ref : int or float, optional
+        Reference direction\n
+        If None, default, the mean direction is used as reference
+
+    Returns
+    -------
+    u : array_like
+        u wind component
+    v : array_like
+        v wind component
+    """
+    if dir_ref is None:
+        dir = dir[:] - mean_deg(dir[:])
+    else:
+        dir = dir[:] - dir_ref
+    u = np.cos(rad(dir)) * wsp[:]
+    v = -np.sin(rad(dir)) * wsp[:]
+    return np.array([u, v])
+
+def wsp_dir_tilt2uvw(wsp, dir, tilt, wsp_horizontal, dir_ref=None):
+    """Convert horizontal wind speed and direction to u,v,w
+
+    Parameters
+    ----------
+    wsp : array_like
+        - if wsp_horizontal is True: Horizontal wind speed, $\sqrt{u^2+v^2}\n
+        - if wsp_horizontal is False: Wind speed, $\sqrt{u^2+v^2+w^2}
+    dir : array_like
+        Wind direction
+    tilt : array_like
+        Wind tilt
+    wsp_horizontal : bool
+        See wsp
+    dir_ref : int or float, optional
+        Reference direction\n
+        If None, default, the mean direction is used as reference
+
+
+    Returns
+    -------
+    u : array_like
+        u wind component
+    v : array_like
+        v wind component
+    w : array_like
+        v wind component
+    """
+    wsp, dir, tilt = wsp[:], dir[:], tilt[:]
+    if wsp_horizontal:
+        w = tand(tilt) * wsp
+        u, v = wsp_dir2uv(wsp, dir, dir_ref)
+    else:
+        w = sind(tilt) * wsp
+        u, v = wsp_dir2uv(np.sqrt(wsp ** 2 - w ** 2), dir, dir_ref)
+    return np.array([u, v, w])
+
+
+
+def xyz2uvw(x, y, z, left_handed=True):
+    """Convert sonic x,y,z measurements to u,v,w wind components
+
+    Parameters
+    ----------
+    x : array_like
+        Sonic x component
+    y : array_like
+        Sonic x component
+    z : array_like
+        Sonic x component
+    left_handed : boolean
+        if true (default), xyz are defined in left handed coodinate system (default for some sonics)
+        if false, xyz are defined in normal right handed coordinate system
+
+    Returns
+    -------
+    u : array_like
+        u wind component
+    v : array_like
+        v wind component
+    w : array_like
+        w wind component
+    """
+    x, y, z = map(np.array, [x, y, z])
+    if left_handed:
+        y *= -1
+    theta = deg(np.arctan2(np.mean(y), np.mean(x)))
+    SV = cosd(theta) * y - sind(theta) * x
+    SUW = cosd(theta) * x + sind(theta) * y
+
+    #% rotation around y of tilt
+    tilt = deg(np.arctan2(np.mean(z), np.mean(SUW)))
+    SU = SUW * cosd(tilt) + z * sind(tilt);
+    SW = z * cosd(tilt) - SUW * sind(tilt);
+
+    return np.array([SU, SV, SW])
+
+def rpm2rads(rpm):
+    return rpm * 2 * np.pi / 60
+
+
+def abvrel2xyz(alpha, beta, vrel):
+    """Convert pitot tube alpha, beta and relative velocity to local Cartesian wind speed velocities
+
+    Parameters
+    ----------
+    alpha : array_like
+        Pitot tube angle of attack
+    beta : array_like
+        Pitot tube side slip angle
+    vrel : array_like
+        Pitot tube relative velocity
+
+    Returns
+    -------
+    x : array_like
+        Wind component towards pitot tube (positive for postive vrel and -90<beta<90)
+    y : array_like
+        Wind component in alpha plane (positive for positive alpha)
+    z : array_like
+        Wind component in beta plane (positive for positive beta)
+    """
+    alpha = np.array(alpha, dtype=np.float)
+    beta = np.array(beta, dtype=np.float)
+    vrel = np.array(vrel, dtype=np.float)
+
+    sign_vsx = -((np.abs(beta) > np.pi / 2) * 2 - 1)  # +1 for |beta| <= 90, -1 for |beta|>90
+    sign_vsy = np.sign(alpha)  #+ for alpha > 0
+    sign_vsz = -np.sign(beta)  #- for beta>0
+
+
+    x = sign_vsx * np.sqrt(vrel ** 2 / (1 + np.tan(alpha) ** 2 + np.tan(beta) ** 2))
+
+    m = alpha != 0
+    y = np.zeros_like(alpha)
+    y[m] = sign_vsy * np.sqrt(vrel[m] ** 2 / ((1 / np.tan(alpha[m])) ** 2 + 1 + (np.tan(beta[m]) / np.tan(alpha[m])) ** 2))
+
+    m = beta != 0
+    z = np.zeros_like(alpha)
+    z[m] = sign_vsz * np.sqrt(vrel[m] ** 2 / ((1 / np.tan(beta[m])) ** 2 + 1 + (np.tan(alpha[m]) / np.tan(beta[m])) ** 2))
+
+    return x, y, z

wetb/utils/process_exec.py

+'''
+Created on 10/03/2014
+
+@author: MMPE
+'''
+
+import os
+import psutil
+
+DEBUG = False
+def pexec(args, cwd=None):
+    """
+    usage: errorcode, stdout, stderr, cmd = pexec("MyProgram.exe arg1, arg2", r"c:\tmp\")
+
+    """
+    import subprocess
+    if not isinstance(args, (list, tuple)):
+        args = [args]
+    args = [str(arg) for arg in args]
+    for i in range(len(args)):
+        if os.path.exists(args[i]):
+            args[i] = str(args[i]).replace('/', os.path.sep).replace('\\', os.path.sep).replace('"', '')
+
+    cmd = "%s" % '{} /c "{}"'.format (os.environ.get("COMSPEC", "cmd.exe"), subprocess.list2cmdline(args))
+    if os.path.isfile(cwd):
+        cwd = os.path.dirname(cwd)
+    proc = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, cwd=cwd)
+    stdout, stderr = proc.communicate()
+    errorcode = proc.returncode
+
+    return errorcode, stdout.decode(), stderr.decode(), cmd
+
+
+def process(args, cwd=None):
+    import subprocess
+    if not isinstance(args, (list, tuple)):
+        args = [args]
+    args = [str(arg) for arg in args]
+    for i in range(len(args)):
+        if os.path.exists(args[i]):
+            args[i] = str(args[i]).replace('/', os.path.sep).replace('\\', os.path.sep).replace('"', '')
+
+    cmd = "%s" % '{} /c "{}"'.format (os.environ.get("COMSPEC", "cmd.exe"), subprocess.list2cmdline(args))
+    if cwd is not None and os.path.isfile(cwd):
+        cwd = os.path.dirname(cwd)
+    return subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=False, cwd=cwd)
+
+def exec_process(process):
+    stdout, stderr = process.communicate()
+    errorcode = process.returncode
+
+    return errorcode, stdout.decode(), stderr.decode()
+
+

wetb/utils/tests/test_caching.py

+'''
+Created on 08/11/2013
+
+@author: mmpe
+'''
+import multiprocessing
+import time
+import unittest
+
+
+from wetb.utils.timing import get_time
+from wetb.utils.caching import cache_function, set_cache_property
+
+
+class Example(object):
+    def __init__(self, *args, **kwargs):
+        object.__init__(self, *args, **kwargs)
+
+        set_cache_property(self, "test", self.slow_function)
+        set_cache_property(self, 'pool', lambda : multiprocessing.Pool(20))
+
+    def slow_function(self):
+        time.sleep(1)
+        return 1
+
+    @cache_function
+    def test_cache_function(self):
+        return self.slow_function()
+
+    @get_time
+    def prop(self, prop):
+        return getattr(self, prop)
+
+
+
+
+def f(x):
+    return x ** 2
+
+class TestCacheProperty(unittest.TestCase):
+    def setUp(self):
+        pass
+
+    def testcache_property_test(self):
+        e = Example()
+        self.assertAlmostEqual(e.prop("test")[1], 1, 2)
+        self.assertAlmostEqual(e.prop("test")[1], 0, 2)
+
+    def testcache_property_pool(self):
+        e = Example()
+        print (e.prop("pool"))
+        self.assertAlmostEqual(e.prop("pool")[1], 0, places=4)
+        print (get_time(e.pool.map)(f, range(10)))
+
+
+    def test_cache_function(self):
+        e = Example()
+        self.assertAlmostEqual(get_time(e.test_cache_function)()[1], 1, places=2)
+        self.assertAlmostEqual(get_time(e.test_cache_function)()[1], 0, places=2)
+        self.assertAlmostEqual(get_time(e.test_cache_function)(reload=True)[1], 1, places=2)
+        self.assertAlmostEqual(get_time(e.test_cache_function)()[1], 0, places=2)
+        e.clear_cache()
+        self.assertAlmostEqual(get_time(e.test_cache_function)()[1], 1, places=2)
+
+
+
+
+
+if __name__ == "__main__":
+    #import sys;sys.argv = ['', 'Test.testName']
+    unittest.main()

wetb/utils/tests/test_geometry.py

+'''
+Created on 15/01/2014
+
+@author: MMPE
+'''
+import unittest
+
+import wetb.gtsdf
+import numpy as np
+from wetb.utils.geometry import rad, deg, mean_deg, sind, cosd, std_deg, xyz2uvw, \
+    wsp_dir2uv, wsp_dir_tilt2uvw, tand
+
+
+class Test(unittest.TestCase):
+
+
+    def test_rad(self):
+        self.assertEqual(rad(45), np.pi / 4)
+        self.assertEqual(rad(135), np.pi * 3 / 4)
+
+
+    def test_deg(self):
+        self.assertEqual(45, deg(np.pi / 4))
+        self.assertEqual(135, deg(np.pi * 3 / 4))
+
+    def test_rad_deg(self):
+        for i in [15, 0.5, 355, 400]:
+            self.assertEqual(i, deg(rad(i)), i)
+
+    def test_sind(self):
+        self.assertAlmostEqual(sind(30), .5)
+
+    def test_cosd(self):
+        self.assertAlmostEqual(cosd(60), .5)
+
+    def test_tand(self):
+        self.assertAlmostEqual(tand(30), 0.5773, 3)
+
+
+    def test_mean_deg(self):
+        self.assertEqual(mean_deg(np.array([0, 90])), 45)
+        self.assertAlmostEqual(mean_deg(np.array([350, 10])), 0)
+
+
+    def test_mean_deg_array(self):
+        a = np.array([[0, 90], [350, 10], [0, -90]])
+        np.testing.assert_array_almost_equal(mean_deg(a, 1), [45, 0, -45])
+        np.testing.assert_array_almost_equal(mean_deg(a.T, 0), [45, 0, -45])
+
+
+    def test_std_deg(self):
+        self.assertEqual(std_deg(np.array([0, 0, 0])), 0)
+        self.assertAlmostEqual(std_deg(np.array([0, 90, 180, 270])), 57.296, 2)
+
+    def test_wspdir2uv(self):
+        u, v = wsp_dir2uv(np.array([1, 1, 1]), np.array([30, 0, 330]))
+        np.testing.assert_array_almost_equal(u, [0.8660, 1, 0.8660], 3)
+        np.testing.assert_array_almost_equal(v, [-0.5, 0, 0.5], 3)
+
+    def test_wspdir2uv_dir_ref(self):
+        u, v = wsp_dir2uv(np.array([1, 1, 1]), np.array([30, 0, 330]), 30)
+        np.testing.assert_array_almost_equal(u, [1, 0.8660, .5], 3)
+        np.testing.assert_array_almost_equal(v, [0, 0.5, .8660], 3)
+
+    def test_xyz2uvw(self):
+        u, v, w = xyz2uvw([1, 1, 0], [0, 1, 1], 0, left_handed=False)
+        np.testing.assert_almost_equal(u, [np.sqrt(1 / 2), np.sqrt(2), np.sqrt(1 / 2)])
+        np.testing.assert_almost_equal(v, [-np.sqrt(1 / 2), 0, np.sqrt(1 / 2)])
+
+
+        u, v, w = xyz2uvw([1, 1, 0], [0, 1, 1], 0, left_handed=True)
+        np.testing.assert_almost_equal(u, [np.sqrt(1 / 2), np.sqrt(2), np.sqrt(1 / 2)])
+        np.testing.assert_almost_equal(v, [np.sqrt(1 / 2), 0, -np.sqrt(1 / 2)])
+
+        u, v, w = xyz2uvw(np.array([-1, -1, -1]), np.array([-0.5, 0, .5]), np.array([0, 0, 0]), left_handed=False)
+        np.testing.assert_array_almost_equal(u, np.array([1, 1, 1]))
+        np.testing.assert_array_almost_equal(v, np.array([.5, 0, -.5]))
+        np.testing.assert_array_almost_equal(w, np.array([0, 0, 0]))
+
+        u, v, w = xyz2uvw(np.array([.5, cosd(30), 1]), np.array([sind(60), sind(30), 0]), np.array([0, 0, 0]), left_handed=False)
+        np.testing.assert_array_almost_equal(u, np.array([sind(60), 1, sind(60)]))
+        np.testing.assert_array_almost_equal(v, np.array([.5, 0, -.5]))
+        np.testing.assert_array_almost_equal(w, np.array([0, 0, 0]))
+
+        u, v, w = xyz2uvw(np.array([.5, cosd(30), 1]), np.array([0, 0, 0]), np.array([sind(60), sind(30), 0]), left_handed=False)
+        np.testing.assert_array_almost_equal(u, np.array([sind(60), 1, sind(60)]))
+        np.testing.assert_array_almost_equal(v, np.array([0, 0, 0]))
+        np.testing.assert_array_almost_equal(w, np.array([.5, 0, -.5]))
+
+
+    def test_wspdir2uv2(self):
+        time, data, info = wetb.gtsdf.load("test_files/SonicDataset.hdf5")
+        stat, x, y, z, temp, wsp, dir, tilt = data[2:3].T  #xyz is left handed
+        np.testing.assert_array_almost_equal(xyz2uvw(*wsp_dir2uv(wsp, dir), z=0), xyz2uvw(x, y, 0))
+
+    def test_wspdirtil2uvw(self):
+        time, data, info = wetb.gtsdf.load("test_files/SonicDataset.hdf5")
+        stat, x, y, z, temp, wsp, dir, tilt = data[3:6].T  #xyz is left handed
+        wsp = np.sqrt(wsp ** 2 + z ** 2)
+        np.testing.assert_array_almost_equal(xyz2uvw(*wsp_dir_tilt2uvw(wsp, dir, tilt, wsp_horizontal=False), left_handed=False), xyz2uvw(x, y, z))
+
+    def test_wspdirtil2uvw_horizontal_wsp(self):
+        time, data, info = wetb.gtsdf.load("test_files/SonicDataset.hdf5")
+        stat, x, y, z, temp, wsp, dir, tilt = data[:].T  #xyz is left handed
+        np.testing.assert_array_almost_equal(xyz2uvw(*wsp_dir_tilt2uvw(wsp, dir, tilt, wsp_horizontal=True), left_handed=False), xyz2uvw(x, y, z))
+
+        np.testing.assert_array_almost_equal(wsp_dir_tilt2uvw(wsp, dir, tilt, wsp_horizontal=True, dir_ref=180), np.array([x, -y, z]), 5)
+        np.testing.assert_array_almost_equal(xyz2uvw(*wsp_dir_tilt2uvw(wsp, dir, tilt, wsp_horizontal=True), left_handed=False), xyz2uvw(x, y, z))
+
+
+if __name__ == "__main__":
+    #import sys;sys.argv = ['', 'Test.test_rad']
+    unittest.main()

wetb/utils/timing.py

+from six import exec_
+import time
+import inspect
+def get_time(f):
+    """Get time decorator
+    returns (return_values, time_of_execution)
+
+    >>> @get_time
+    >>> def test():
+    >>>    time.sleep(1)
+    >>>    return "end"
+    >>>
+    >>> test()
+    ('end', 0.999833492421551)
+    """
+    def wrap(*args, **kwargs):
+        t = time.clock()
+        res = f(*args, **kwargs)
+        return res, time.clock() - t
+    w = wrap
+    w.__name__ = f.__name__
+    return w
+
+
+def print_time(f):
+    """Print time decorator
+    prints name of method and time of execution
+
+    >>> @print_time
+    >>> def test():
+    >>>    time.sleep(1)
+    >>>
+    >>> test()
+    test            1.000s
+    """
+    def wrap(*args, **kwargs):
+        t = time.time()
+        res = f(*args, **kwargs)
+        print ("%-12s\t%.3fs" % (f.__name__, time.time() - t))
+        return res
+    w = wrap
+    w.__name__ = f.__name__
+    return w
+
+
+cum_time = {}
+def print_cum_time(f):
+    """Print cumulated time decorator
+    prints name of method and cumulated time of execution
+
+    >>> @print_cum_time
+    >>> def test():
+    >>>    time.sleep(1)
+    >>>
+    >>> test()
+    test            0001 calls, 1.000000s, 1.000000s pr. call'
+    >>> test()
+    test            0002 calls, 2.000000s, 1.000000s pr. call'
+    """
+    if f not in cum_time:
+        cum_time[f] = (0, 0)
+
+    def wrap(*args, **kwargs):
+        t = time.time()
+        res = f(*args, **kwargs)
+        ct = cum_time[f][1] + time.time() - t
+        n = cum_time[f][0] + 1
+        cum_time[f] = (n, ct)
+        print ("%-12s\t%.4d calls, %03fs, %fs pr. call'" % (f.__name__, n, ct, ct / n))
+        return res
+    w = wrap
+    w.__name__ = f.__name__
+    return w
+
+def print_line_time(f):
+    """Execute one line at the time and prints the time of execution.
+    Only for non-branching and non-looping code
+
+    prints: time_of_line, cumulated_time, code_line
+
+
+    >>> @print_line_time
+    >>> def test():
+    >>>    time.sleep(.3)
+    >>>    time.sleep(.5)
+    >>>
+    >>> test()
+    0.300s    0.300s    time.sleep(.3)
+    0.510s    0.810s    time.sleep(.51)
+
+    """
+    def wrap(*args, **kwargs):
+        arg_names, varargs, varkw, defaults = inspect.getargspec(f)
+        kwargs[varargs] = args[len(arg_names):]
+        kwargs[varkw] = {}
+        for k, v in kwargs.items():
+            if k not in tuple(arg_names) + (varargs, varkw):
+                kwargs.pop(k)
+                kwargs[varkw][k] = v
+        if defaults:
+            kwargs.update(dict(zip(arg_names[::-1], defaults[::-1])))
+        kwargs.update(dict(zip(arg_names, args)))
+
+
+        lines = inspect.getsourcelines(f)[0][2:]
+        tcum = time.clock()
+        locals = kwargs
+        gl = f.__globals__
+
+        for l in lines:
+            tline = time.clock()
+            exec(l.strip(), locals, gl)  #res = f(*args, **kwargs)
+            print ("%.3fs\t%.3fs\t%s" % (time.clock() - tline, time.clock() - tcum, l.strip()))
+    w = wrap
+    w.__name__ = f.__name__
+    return w