Merge remote-tracking branch 'origin/development' into typehints_results
This commit is contained in:
commit
412884ea82
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@ -233,7 +233,7 @@ update_revision:
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- cd $(mktemp -d)
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- cd $(mktemp -d)
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- git clone -q git@git.damask.mpie.de:damask/DAMASK.git .
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- git clone -q git@git.damask.mpie.de:damask/DAMASK.git .
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- git pull
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- git pull
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- exportVERSION=$(git describe ${CI_COMMIT_SHA})
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- export VERSION=$(git describe ${CI_COMMIT_SHA})
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- echo ${VERSION:1} > VERSION
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- echo ${VERSION:1} > VERSION
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- >
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- >
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git diff-index --quiet HEAD ||
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git diff-index --quiet HEAD ||
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@ -551,7 +551,7 @@ class Rotation:
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Parameters
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Parameters
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----------
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----------
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degrees : bool, optional
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degrees : bool, optional
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Return angles in degrees.
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Return angles in degrees. Defaults to False.
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Returns
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Returns
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-------
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-------
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@ -1096,8 +1096,8 @@ class Rotation:
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@staticmethod
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@staticmethod
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def from_fiber_component(alpha: IntSequence,
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def from_fiber_component(crystal: IntSequence,
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beta: IntSequence,
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sample: IntSequence,
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sigma: float = 0.0,
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sigma: float = 0.0,
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shape: Union[int, IntSequence] = None,
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shape: Union[int, IntSequence] = None,
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degrees: bool = True,
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degrees: bool = True,
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@ -1107,9 +1107,9 @@ class Rotation:
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Parameters
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Parameters
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----------
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----------
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alpha : numpy.ndarray, shape (2)
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crystal : numpy.ndarray, shape (2)
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Polar coordinates (phi from x, theta from z) of fiber direction in crystal frame.
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Polar coordinates (phi from x, theta from z) of fiber direction in crystal frame.
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beta : numpy.ndarray, shape (2)
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sample : numpy.ndarray, shape (2)
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Polar coordinates (phi from x, theta from z) of fiber direction in sample frame.
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Polar coordinates (phi from x, theta from z) of fiber direction in sample frame.
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sigma : float, optional
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sigma : float, optional
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Standard deviation of (Gaussian) misorientation distribution.
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Standard deviation of (Gaussian) misorientation distribution.
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@ -1117,15 +1117,15 @@ class Rotation:
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shape : int or sequence of ints, optional
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shape : int or sequence of ints, optional
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Shape of the returned array. Defaults to None, which gives a scalar.
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Shape of the returned array. Defaults to None, which gives a scalar.
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degrees : bool, optional
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degrees : bool, optional
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sigma, alpha, and beta are given in degrees.
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sigma and polar coordinates are given in degrees.
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rng_seed : {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
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rng_seed : {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
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A seed to initialize the BitGenerator.
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A seed to initialize the BitGenerator.
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Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
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Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
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"""
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"""
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rng = np.random.default_rng(rng_seed)
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rng = np.random.default_rng(rng_seed)
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sigma_,alpha_,beta_ = (np.radians(coordinate) for coordinate in (sigma,alpha,beta)) if degrees else \
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sigma_,alpha_,beta_ = (np.radians(coordinate) for coordinate in (sigma,crystal,sample)) if degrees else \
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map(np.array, (sigma,alpha,beta))
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map(np.array, (sigma,crystal,sample))
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d_cr = np.array([np.sin(alpha_[0])*np.cos(alpha_[1]), np.sin(alpha_[0])*np.sin(alpha_[1]), np.cos(alpha_[0])])
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d_cr = np.array([np.sin(alpha_[0])*np.cos(alpha_[1]), np.sin(alpha_[0])*np.sin(alpha_[1]), np.cos(alpha_[0])])
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d_lab = np.array([np.sin( beta_[0])*np.cos( beta_[1]), np.sin( beta_[0])*np.sin( beta_[1]), np.cos( beta_[0])])
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d_lab = np.array([np.sin( beta_[0])*np.cos( beta_[1]), np.sin( beta_[0])*np.sin( beta_[1]), np.cos( beta_[0])])
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@ -150,10 +150,12 @@ class TestOrientation:
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== np.eye(3))
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== np.eye(3))
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def test_from_fiber_component(self):
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def test_from_fiber_component(self):
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r = Rotation.from_fiber_component(alpha=np.zeros(2),beta=np.zeros(2),
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crystal = np.random.rand(2) * [180,360]
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sample = np.random.rand(2) * [180,360]
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r = Rotation.from_fiber_component(crystal=crystal,sample=sample,
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sigma=0.0,shape=1,rng_seed=0)
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sigma=0.0,shape=1,rng_seed=0)
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assert np.all(Orientation.from_fiber_component(alpha=np.zeros(2),beta=np.zeros(2),
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assert np.all(Orientation.from_fiber_component(crystal=crystal,sample=sample,
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sigma=0.0,shape=None,rng_seed=0,family='triclinic').quaternion
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sigma=0.0,shape=None,rng_seed=0,lattice='cI').quaternion
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== r.quaternion)
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== r.quaternion)
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@pytest.mark.parametrize('kwargs',[
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@pytest.mark.parametrize('kwargs',[
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