mirror of
https://github.com/triqs/dft_tools
synced 2024-12-22 04:13:47 +01:00
Added documentation on the output file formats
A description of the output file formats is added to the documentation. In particular, the outline of JSON headers for projector-group (*.plog<Ng>) and control (*.ctrl) files are given.
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@ -72,7 +72,7 @@ Consistency with parameters
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Selecting projector subsets
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---------------------------
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===========================
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The first step of PLO processing is to select subsets of projectors
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corresponding to PLO groups. Each group contains a set of shells.
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@ -117,7 +117,7 @@ The class is using a helper function `select_bands()` for selecting a subset of
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.. _ortho:
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Orthogonalization
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=================
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-----------------
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At the second stage the selected projectors are orthogonalized (orthonormalized).
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Orthogonalization can be performed in different ways if projection is made
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@ -138,3 +138,54 @@ The way the normalization of a PLO group is done is controlled by two group para
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(False by default)
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Storing generated projectors
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****************************
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After the PLOs are generated they are stored to text files which can be subsequently
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converted to TRIQS h5-files (using the converter). The general format of the file
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is a JSON-header containing all necessary parameters followed by a set of arrays.
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There is always one (control) file containing general information (`k`-kpoints, lattice vectors etc.)
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and `at least` one file containing correlated groups (one file for each group).
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Control file format
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===================
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Filename '<namebase>.ctrl'. Contains the data shared between all shells.
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The JSON-header consists of the following elements:
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* *nk*: number of `k`-points
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* *ns*: number of spin channels
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* *nc_flag*: collinear/noncollinear case (False/True)
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* *ng*: number of projector groups
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* Symmetry information (list of symmetry operations)
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* *efermi*: Fermi level (optional)
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* Lattice information
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Projector-group file format
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===========================
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Projector-group files have names '<namebase>.plog<Ng>'.
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They essentially contain serialized objects of class 'ProjectorGroup'.
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The JSON-header has, thus, the following elements:
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* *shells*: list of shells
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* each shell is a dictionary:
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- *lshell*: orbital number `l`
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- *nion*: number of ions
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- *ndim*: number of orbitals/ion
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- *nbmax*: maxmimum number of bands (needed for array allocations)
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* *emin*, *emax*: energy window
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@ -2,6 +2,9 @@
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import itertools as it
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import numpy as np
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# 'simplejson' is supposed to be faster than 'json' in stdlib.
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import simplejson as json
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class Projector:
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"""
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Class describing a local-orbital projector.
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@ -394,11 +397,13 @@ def plo_output(conf_pars, pshells, pgroups):
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# Projected shells
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Nshells
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# Shells: <shell indices>
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# Shell <1>
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Shell 1
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ndim
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# complex arrays: plo(ns, nion, ndim, nb)
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...
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# Shells: <shell indices>
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# Shell <2>
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Shell 2
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...
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@ -1,20 +0,0 @@
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[General]
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EFERMI = -0.6
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[Group 1]
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SHELLS = 1 2
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EMIN = -7.6
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EMAX = 2.7
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[Shell 1]
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# Ni shell
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IONS = 5 6 7 8
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LSHELL = 2
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RTRANSFORM =
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0.0 0.0 0.0 0.0 1.0
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0.0 0.0 1.0 0.0 0.0
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[Shell 2]
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# Oxygen shell
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IONS = 9..20
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LSHELL = 1
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@ -1,27 +0,0 @@
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r"""
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Module defining a custom TestCase with extra functionality.
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"""
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import unittest
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import numpy as np
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class ArrayTestCase(unittest.TestCase):
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"""
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Custom TestCase class supporting array equality.
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"""
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def __init__(self, *args, **kwargs):
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"""
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Initializes a custom equality function for comparing numpy arrays.
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"""
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super(ArrayTestCase, self).__init__(*args, **kwargs)
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self.addTypeEqualityFunc(np.ndarray, self.is_arrays_equal)
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def is_arrays_equal(self, arr1, arr2, msg=None):
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"""
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Raises self.failureException is arrays arr1 and arr2
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are not equal.
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"""
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if not np.allclose(arr1, arr2):
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raise self.failureException(msg)
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@ -1,29 +0,0 @@
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[General]
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[Group 1]
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SHELLS = 1 2
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EMIN = -7.6
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EMAX = 3.0
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[Group 2]
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SHELLS = 3
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EMIN = -1.6
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EMAX = 2.0
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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LSHELL = 1
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IONS = 1..4
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RTRANSFORM = 0.0 1.0 0.0
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1.0 0.0 0.0
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0.0 0.0 1.0
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[Shell 3]
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LSHELL = 3
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IONS = 1..4
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@ -1,7 +0,0 @@
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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EMIN = -7.6
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EMAX = 3.0
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@ -1,10 +0,0 @@
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[General]
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EFERMI = 0.7
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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IONS = 9..20
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LSHELL = 1
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@ -1,3 +0,0 @@
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[Shell 1]
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LSHELL = 2
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IONS = 1..4
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@ -1,25 +0,0 @@
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[General]
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[Group 1]
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SHELLS = 1 2
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EMIN = -7.6
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EMAX = 3.0
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[Group 2]
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SHELLS = 3
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EMIN = -1.6
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EMAX = 2.0
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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LSHELL = 1
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IONS = 1..4
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RTRANSFORM = 0.0 1.0 0.0
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1.0 0.0 0.0
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0.0 0.0 1.0
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@ -1,24 +0,0 @@
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[General]
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[Group 1]
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SHELLS = 1 2
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EMIN = -7.6
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EMAX = 3.0
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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LSHELL = 1
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IONS = 1..4
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RTRANSFORM = 0.0 1.0 0.0
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1.0 0.0 0.0
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0.0 0.0 1.0
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[Shell 3]
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LSHELL = 3
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IONS = 1..4
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[General]
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[Group 1]
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SHELLS = 1 2
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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LSHELL = 1
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IONS = 1..4
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[General]
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[Group 1]
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[General]
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[Group 1]
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[Shell x]
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@ -1,7 +0,0 @@
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[General]
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[Group 1]
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[Shell 1]
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LSHELL = 2
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[General]
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[Group 1]
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SHELLS = 1 2
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[Shell 1]
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LSHELL = 2
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IONS = 5..8
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[Shell 2]
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LSHELL = 1
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IONS = 1..4
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RTRANSFORM = 0.0 1.0 0.0
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1.0 0.0 0.0
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0.0 0.0 1.0
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@ -1 +0,0 @@
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PYTHONPATH=../../python:../../c:$PYTHONPATH python $1
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[General]
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EFERMI = 0.7
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[Group 1]
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SHELLS = 1
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[Shell 1]
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LSHELL = 2
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[Shell 2]
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IONS = 9..20
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LSHELL = 1
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r"""
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Tests of 'parse_groups()' defined in ConfigParameters class
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"""
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import arraytest
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import numpy as np
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from inpconf import ConfigParameters
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################################################################################
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#
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# TestParseGroups
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#
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################################################################################
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class TestParseGroups(arraytest.ArrayTestCase):
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"""
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Function:
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def parse_groups(self)
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Scenarios:
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- **if** a [Group] section does not contain all required parameters
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**raise** Exception
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- **if** a correct group section is defined **return** a list of dictionaries
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"""
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# Scenario 1
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def test_gr_required(self):
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conf_pars = ConfigParameters('parse_groups_1.cfg')
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err_mess = "Required parameter"
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with self.assertRaisesRegexp(Exception, err_mess):
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conf_pars.parse_groups()
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# Scenario 2
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def test_example(self):
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conf_pars = ConfigParameters('example.cfg')
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conf_pars.parse_groups()
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res = conf_pars.groups
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expected = [{'index': 1, 'shells': [1, 2], 'emin': -7.6, 'emax': 3.0,
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'normalize': True, 'normion': False},
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{'index': 2, 'shells': [3], 'emin': -1.6, 'emax': 2.0,
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'normalize': True, 'normion': False}]
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self.assertListEqual(res, expected)
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r"""
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Test suite for module `inpconf.py`.
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"""
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import unittest
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if __name__ == '__main__':
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suite = unittest.TestLoader().discover('./')
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unittest.TextTestRunner(verbosity=2, buffer=True).run(suite)
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r"""
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Tests of 'parse_input()' defined in ConfigParameters class
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"""
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import arraytest
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import numpy as np
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from inpconf import ConfigParameters
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################################################################################
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#
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# TestParseInput
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#
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################################################################################
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class TestParseInput(arraytest.ArrayTestCase):
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"""
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Function:
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def parse_input(self)
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Scenarios:
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- **if** no [Group] section exists and more than one [Shell] section
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is given **raise** AssertionError
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- **if** no [Group] section exists but the single [Shell] section
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does not contain required group information **raise** KeyError
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- **if** a shell referenced in a group does not exist
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**raise** Exception
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- **if** not all defined shells are referenced in the groups
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**raise** Exception
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- **if** all sections are parsed error-free check that the output
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is correct
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- correct example with a single shell and no explicit groups
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"""
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# Scenario 1
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def test_no_group(self):
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conf_pars = ConfigParameters('input_test_1.cfg')
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err_mess = "At least one group"
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with self.assertRaisesRegexp(AssertionError, err_mess):
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conf_pars.parse_input()
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# Scenario 2
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def test_gr_required(self):
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conf_pars = ConfigParameters('input_test_2.cfg')
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err_mess = "One \[Shell\] section is"
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with self.assertRaisesRegexp(KeyError, err_mess):
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conf_pars.parse_input()
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# Scenario 3
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def test_no_shell(self):
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conf_pars = ConfigParameters('input_test_3.cfg')
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err_mess = "Shell 3 referenced in"
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with self.assertRaisesRegexp(Exception, err_mess):
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conf_pars.parse_input()
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# Scenario 4
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def test_shell_outside_groups(self):
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conf_pars = ConfigParameters('input_test_4.cfg')
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err_mess = "Some shells are not inside"
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with self.assertRaisesRegexp(AssertionError, err_mess):
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conf_pars.parse_input()
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# Scenario 5
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def test_example(self):
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conf_pars = ConfigParameters('example.cfg')
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conf_pars.parse_input()
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# with open('parse_input.output.test', 'wt') as f:
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# f.write("Shells:\n")
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# f.write(conf_pars.shells.__repr__() + '\n\n')
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# f.write("Groups:\n")
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# f.write(conf_pars.groups.__repr__() + '\n')
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res = "Shells:\n"
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res += conf_pars.shells.__repr__() + '\n\n'
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res += "Groups:\n"
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res += conf_pars.groups.__repr__()
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expected = r"""Shells:
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[{'ion_list': array([4, 5, 6, 7]), 'user_index': 1, 'lshell': 2}, {'tmatrix': array([[ 0., 1., 0.],
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[ 1., 0., 0.],
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[ 0., 0., 1.]]), 'ion_list': array([0, 1, 2, 3]), 'user_index': 2, 'lshell': 1}, {'ion_list': array([0, 1, 2, 3]), 'user_index': 3, 'lshell': 3}]
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Groups:
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[{'normalize': True, 'index': 1, 'shells': [0, 1], 'normion': False, 'emax': 3.0, 'emin': -7.6}, {'normalize': True, 'index': 2, 'shells': [2], 'normion': False, 'emax': 2.0, 'emin': -1.6}]"""
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self.assertEqual(res, expected)
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# Scenario 6
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def test_example_no_groups(self):
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conf_pars = ConfigParameters('example_nogroup.cfg')
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conf_pars.parse_input()
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# with open('parse_input.output.test', 'wt') as f:
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# f.write("Shells:\n")
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# f.write(conf_pars.shells.__repr__() + '\n\n')
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# f.write("Groups:\n")
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# f.write(conf_pars.groups.__repr__() + '\n')
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res = "Shells:\n"
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res += conf_pars.shells.__repr__() + '\n\n'
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res += "Groups:\n"
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res += conf_pars.groups.__repr__()
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expected = r"""Shells:
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[{'ion_list': array([4, 5, 6, 7]), 'user_index': 1, 'lshell': 2}]
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Groups:
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[{'normalize': True, 'index': '1', 'emin': -7.6, 'emax': 3.0, 'normion': False, 'shells': [0]}]"""
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self.assertEqual(res, expected)
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r"""
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Tests of 'parse_parameter_set()' defined in ConfigParameters class
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"""
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import arraytest
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import numpy as np
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from inpconf import ConfigParameters
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################################################################################
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#
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# TestParseParameterSet
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#
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################################################################################
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class TestParseParameterSet(arraytest.ArrayTestCase):
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"""
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Function:
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def parse_parameter_set(self, section, param_set, excpetion=False)
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Scenarios:
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- **if** config-file section [Shell 1] contains 'LSHELL = 2' **and**
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'lshell' and 'ions' are in `param_set` **return** a dictionary {'lshell': 2}
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- **if** config-file section [Shell 1] contains 'LSHELL = 2' **and**
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'lshell' and 'ions' are in `param_set` and
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exception=True **raise** Exception
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"""
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def setUp(self):
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"""
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"""
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# Dummy ConfigParameters object
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self.cpars = ConfigParameters('test1.cfg')
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# Scenario 1
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def test_sh_required(self):
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param_set = self.cpars.sh_required # contains 'lshell' and 'ions'
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res = self.cpars.parse_parameter_set('Shell 1', param_set)
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expected = {'lshell': 2}
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self.assertDictEqual(res, expected)
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# Scenario 2
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def test_sh_required_exception(self):
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section = 'Shell 1'
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param_set = self.cpars.sh_required # contains 'lshell' and 'ions'
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err_mess = "Required parameter" # .* in section [%s]"%(section)
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with self.assertRaisesRegexp(Exception, err_mess):
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self.cpars.parse_parameter_set(section, param_set, exception=True)
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r"""
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Tests of 'parse_shells()' defined in ConfigParameters class
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"""
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import arraytest
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import numpy as np
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from inpconf import ConfigParameters
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################################################################################
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#
|
||||
# TestParseShells
|
||||
#
|
||||
################################################################################
|
||||
class TestParseShells(arraytest.ArrayTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def parse_shells(self)
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** config-file does not contain a valid [Shell] section
|
||||
**raise** AssertionError
|
||||
- **if** a [Shell] section does not contain a valid index
|
||||
**raise** ValueError
|
||||
- **if** a [Shell] section does not contain all required parameters
|
||||
**raise** Exception
|
||||
- **if** two correct [Shell] sections are defined
|
||||
**return** a dictionary of shell parameters
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_no_shell(self):
|
||||
conf_pars = ConfigParameters('parse_shells_1.cfg')
|
||||
err_mess = "No projected shells"
|
||||
with self.assertRaisesRegexp(AssertionError, err_mess):
|
||||
conf_pars.parse_shells()
|
||||
|
||||
# Scenario 2
|
||||
def test_bad_indices(self):
|
||||
conf_pars = ConfigParameters('parse_shells_2.cfg')
|
||||
err_mess = "Failed to extract shell indices"
|
||||
with self.assertRaisesRegexp(ValueError, err_mess):
|
||||
conf_pars.parse_shells()
|
||||
|
||||
# Scenario 3
|
||||
def test_sh_required(self):
|
||||
conf_pars = ConfigParameters('parse_shells_3.cfg')
|
||||
err_mess = "Required parameter"
|
||||
with self.assertRaisesRegexp(Exception, err_mess):
|
||||
conf_pars.parse_shells()
|
||||
|
||||
# Scenario 4
|
||||
def test_two_shells(self):
|
||||
conf_pars = ConfigParameters('parse_shells_4.cfg')
|
||||
conf_pars.parse_shells()
|
||||
res = conf_pars.shells
|
||||
expected = [{'user_index': 1, 'lshell': 2, 'ion_list': np.array([4, 5, 6, 7])},
|
||||
{'user_index': 2, 'lshell': 1, 'ion_list': np.array([0, 1, 2, 3]),
|
||||
'tmatrix': np.array([[ 0., 1., 0.], [ 1., 0., 0.], [ 0., 0., 1.]])}]
|
||||
# ...lousy way to test equality of two dictionaries containing numpy arrays
|
||||
self.assertEqual(len(res), len(expected))
|
||||
|
||||
arr = res[0].pop('ion_list')
|
||||
arr_exp = expected[0].pop('ion_list')
|
||||
self.assertEqual(arr, arr_exp)
|
||||
|
||||
arr = res[1].pop('ion_list')
|
||||
arr_exp = expected[1].pop('ion_list')
|
||||
self.assertEqual(arr, arr_exp)
|
||||
|
||||
arr = res[1].pop('tmatrix')
|
||||
arr_exp = expected[1].pop('tmatrix')
|
||||
self.assertEqual(arr, arr_exp)
|
||||
|
||||
self.assertListEqual(res, expected)
|
||||
|
||||
|
@ -1,149 +0,0 @@
|
||||
r"""
|
||||
Tests of special parseres defined in ConfigParameters class
|
||||
"""
|
||||
import arraytest
|
||||
import numpy as np
|
||||
from inpconf import ConfigParameters
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestParseStringLogical
|
||||
#
|
||||
################################################################################
|
||||
class TestParseStringLogical(arraytest.ArrayTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def parse_string_logical(self, par_str)
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** par_str == 'True' **return** True
|
||||
- **if** par_str == 'False' **return** False
|
||||
- **if** par_str == '0' **raise** assertion
|
||||
"""
|
||||
def setUp(self):
|
||||
"""
|
||||
"""
|
||||
# Dummy ConfigParameters object
|
||||
self.cpars = ConfigParameters('test1.cfg')
|
||||
|
||||
# Scenario 1
|
||||
def test_true(self):
|
||||
res = self.cpars.parse_string_logical('True')
|
||||
self.assertEqual(res, True)
|
||||
|
||||
# Scenario 2
|
||||
def test_false(self):
|
||||
res = self.cpars.parse_string_logical('False')
|
||||
self.assertEqual(res, False)
|
||||
|
||||
# Scenario 3
|
||||
def test_incorrect(self):
|
||||
with self.assertRaises(AssertionError):
|
||||
self.cpars.parse_string_logical('0')
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestParseStringIonList
|
||||
#
|
||||
################################################################################
|
||||
class TestParseStringIonList(arraytest.ArrayTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def parse_string_ion_list(self, par_str)
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** par_str == '5 6 7 8' **return** array([4, 5, 6, 7])
|
||||
- **if** par_str == 'Ni' **raise** NotImplementedError
|
||||
- **if** par_str == '0 1' **raise** AssertionError
|
||||
- **if** par_str == '5..8' **return** array([4, 5, 6, 7])
|
||||
- **if** par_str == '8..5' **raise** AssertionError
|
||||
"""
|
||||
def setUp(self):
|
||||
"""
|
||||
"""
|
||||
# Dummy ConfigParameters object
|
||||
self.cpars = ConfigParameters('test1.cfg')
|
||||
|
||||
# Scenario 1
|
||||
def test_simple_list(self):
|
||||
expected = np.array([4, 5, 6, 7])
|
||||
res = self.cpars.parse_string_ion_list('5 6 7 8')
|
||||
self.assertEqual(res, expected)
|
||||
|
||||
# Scenario 2
|
||||
def test_atomic_symbol(self):
|
||||
with self.assertRaises(NotImplementedError):
|
||||
self.cpars.parse_string_ion_list('Ni')
|
||||
|
||||
# Scenario 3
|
||||
def test_out_of_bounds(self):
|
||||
err_mess = "Lowest ion index is"
|
||||
with self.assertRaisesRegexp(AssertionError, err_mess):
|
||||
self.cpars.parse_string_ion_list('0 1')
|
||||
|
||||
# Scenario 4
|
||||
def test_list_range(self):
|
||||
expected = np.array([4, 5, 6, 7])
|
||||
res = self.cpars.parse_string_ion_list('5..8')
|
||||
self.assertEqual(res, expected)
|
||||
|
||||
# Scenario 5
|
||||
def test_range_wrong_order(self):
|
||||
err_mess = "First index of the range"
|
||||
with self.assertRaisesRegexp(AssertionError, err_mess):
|
||||
self.cpars.parse_string_ion_list('8..5')
|
||||
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestParseStringTmatrix
|
||||
#
|
||||
################################################################################
|
||||
class TestParseStringTmatrix(arraytest.ArrayTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def parse_string_tmatrix(self, par_str)
|
||||
|
||||
Parses a matrix defined as a set of rows in the conf-file.
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** number of columns is not the same **raise** AssertionError
|
||||
- **if** complex matrix is read and the number of columns is odd
|
||||
**raise** AssertionError
|
||||
- **if** a correct matrix is given **return** an array
|
||||
|
||||
"""
|
||||
def setUp(self):
|
||||
"""
|
||||
"""
|
||||
# Dummy ConfigParameters object
|
||||
self.cpars = ConfigParameters('test1.cfg')
|
||||
|
||||
# Scenario 1
|
||||
def test_number_of_columns(self):
|
||||
par_str = "1.0 0.0\n1.0"
|
||||
err_mess = "Number of columns"
|
||||
with self.assertRaisesRegexp(AssertionError, err_mess):
|
||||
self.cpars.parse_string_tmatrix(par_str, real=True)
|
||||
|
||||
# Scenario 2
|
||||
def test_complex_matrix_odd(self):
|
||||
par_str = "1.0 0.0 2.0 1.0 0.0\n0.0 1.0 2.0 3.0 -1.0"
|
||||
err_mess = "Complex matrix must"
|
||||
with self.assertRaisesRegexp(AssertionError, err_mess):
|
||||
self.cpars.parse_string_tmatrix(par_str, real=False)
|
||||
|
||||
# Scenario 3
|
||||
def test_complex_matrix(self):
|
||||
par_str = "1.0 0.0 2.0 -3.0\n0.0 1.0 -1.0 1.0"
|
||||
res = self.cpars.parse_string_tmatrix(par_str, real=False)
|
||||
expected = np.array([[1.0, 2.0 - 3.0j], [1.0j, -1.0 + 1.0j]])
|
||||
self.assertEqual(res, expected)
|
||||
|
||||
|
@ -1,2 +0,0 @@
|
||||
*.pyc
|
||||
*.test
|
Binary file not shown.
File diff suppressed because it is too large
Load Diff
@ -1,259 +0,0 @@
|
||||
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|
||||
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|
||||
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|
||||
0000030: 0000 0000 0000 0000 876a f460 f6ec d93f .........j.`...?
|
||||
0000040: 0000 0000 0000 0000 80ab 01a5 b7c9 d93f ...............?
|
||||
0000050: 0000 0000 0000 0000 dc82 5188 ebf7 d93f ..........Q....?
|
||||
0000060: 0000 0000 0000 0000 389e aae4 5c59 a4be ........8...\Y..
|
||||
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|
||||
0000080: 0000 0000 0000 0000 08ee b871 1214 773e ...........q..w>
|
||||
0000090: 0000 0000 0000 0000 5095 ab03 b4cc 99be ........P.......
|
||||
00000a0: 0000 0000 0000 0000 00e2 0cec 4018 8e3e ............@..>
|
||||
00000b0: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
00000c0: 68c3 e962 e8c3 42be 0000 0000 0000 0000 h..b..B.........
|
||||
00000d0: c907 d02d 79b5 c83f 0000 0000 0000 0000 ...-y..?........
|
||||
00000e0: 6d5c b47d afec e4bf 0000 0000 0000 0000 m\.}............
|
||||
00000f0: 8871 d914 bb3d dd3f 0000 0000 0000 0000 .q...=.?........
|
||||
0000100: a09e cab7 fba1 99be 0000 0000 0000 0000 ................
|
||||
0000110: 1011 02ea 4ed4 a5be 0000 0000 0000 0000 ....N...........
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
0000160: 0000 0000 0000 0000 5f10 eece 9bc5 e7bf ........_.......
|
||||
0000170: 0000 0000 0000 0000 c756 8fc2 d323 bc3f .........V...#.?
|
||||
0000180: 0000 0000 0000 0000 6226 1a03 4747 e43f ........b&..GG.?
|
||||
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|
||||
00001a0: 0000 0000 0000 0000 d059 0ef7 3322 bc3e .........Y..3".>
|
||||
00001b0: 0000 0000 0000 0000 906f ecbd 13bf 9b3e .........o.....>
|
||||
00001c0: 0000 0000 0000 0000 0048 dc80 c623 79be .........H...#y.
|
||||
00001d0: 0000 0000 0000 0000 98af a7f0 cc0a 80be ................
|
||||
00001e0: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
00001f0: 7732 c238 fc5d d4bf 0000 0000 0000 0000 w2.8.]..........
|
||||
0000200: af10 22fe 0157 1e3e 0000 0000 0000 0000 .."..W.>........
|
||||
0000210: b6f2 3804 5f94 19be 0000 0000 0000 0000 ..8._...........
|
||||
0000220: f3fa 220d f74a 10be 0000 0000 0000 0000 .."..J..........
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00002c0: 0000 0000 0000 0000 4bd8 9f87 3736 d5bf ........K...76..
|
||||
00002d0: 0000 0000 0000 0000 d028 1b47 86da d5bf .........(.G....
|
||||
00002e0: 0000 0000 0000 0000 7983 970b 9a0a 10be ........y.......
|
||||
00002f0: 0000 0000 0000 0000 3d51 3b73 82d8 d5bf ........=Q;s....
|
||||
0000300: 0000 0000 0000 0000 5ee2 3953 96be eabd ........^.9S....
|
||||
0000310: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
0000320: e02d e04c 16cc a3be 0000 0000 0000 0000 .-.L............
|
||||
0000330: 45d9 4cd2 8e29 a1be 0000 0000 0000 0000 E.L..)..........
|
||||
0000340: a6be 872b d81d aebe 0000 0000 0000 0000 ...+............
|
||||
0000350: 6261 dc48 428c a5be 0000 0000 0000 0000 ba.HB...........
|
||||
0000360: 4e2b 9eaa 4723 e13f 0000 0000 0000 0000 N+..G#.?........
|
||||
0000370: 7dab 254c f2bb d0bf 0000 0000 0000 0000 }.%L............
|
||||
0000380: 3614 5bd6 5785 77be 0000 0000 0000 0000 6.[.W.w.........
|
||||
0000390: dc11 2b1c 7a8f d0bf 0000 0000 0000 0000 ..+.z...........
|
||||
00003a0: bacd a52a 3e27 f33d 0000 0000 0000 0000 ...*>'.=........
|
||||
00003b0: 0000 0000 0000 0040 3ec2 a914 b349 953e .......@>....I.>
|
||||
00003c0: 0000 0000 0000 0000 e1e1 30f2 ec27 b1be ..........0..'..
|
||||
00003d0: 0000 0000 0000 0000 f9fa cf80 b262 a33e .............b.>
|
||||
00003e0: 0000 0000 0000 0000 c30d 0bea fff7 b03e ...............>
|
||||
00003f0: 0000 0000 0000 0000 ddb7 83f6 7181 5fbf ............q._.
|
||||
0000400: 0000 0000 0000 0000 7cb5 f3a7 1dde e2bf ........|.......
|
||||
0000410: 0000 0000 0000 0000 04ec d82c 5973 f73d ...........,Ys.=
|
||||
0000420: 0000 0000 0000 0000 2589 b733 caef e23f ........%..3...?
|
||||
0000430: 0000 0000 0000 0000 b680 c91e 7c87 7e3e ............|.~>
|
||||
0000440: 0000 0000 0000 0000 8399 6cf2 a7a8 733a ..........l...s:
|
||||
0000450: a226 c082 8d99 a2be 0000 0000 0000 0000 .&..............
|
||||
0000460: 4f75 9af5 f751 88be 0000 0000 0000 0000 Ou...Q..........
|
||||
0000470: c87f 8c77 6f11 8c3e 0000 0000 0000 0000 ...wo..>........
|
||||
0000480: 634e 55db dffe 88be 0000 0000 0000 0000 cNU.............
|
||||
0000490: b9a2 7a78 99f2 33be 0000 0000 0000 0000 ..zx..3.........
|
||||
00004a0: 6232 6dee 00ec 763e 0000 0000 0000 0000 b2m...v>........
|
||||
00004b0: 34f6 8e31 ebb1 a3bf 0000 0000 0000 0000 4..1............
|
||||
00004c0: b0e1 85b7 93be 75be 0000 0000 0000 0000 ......u.........
|
||||
00004d0: fca1 4ac0 516b ea3f 0000 0000 0000 0000 ..J.Qk.?........
|
||||
00004e0: ead9 7db9 a7a8 733a 2051 d326 ab04 b63e ..}...s: Q.&...>
|
||||
00004f0: 0000 0000 0000 0000 a664 a63a b204 a6be .........d.:....
|
||||
0000500: 0000 0000 0000 0000 9a14 a1cc cd1a ad3e ...............>
|
||||
0000510: 0000 0000 0000 0000 c317 f9d9 0bc9 763e ..............v>
|
||||
0000520: 0000 0000 0000 0000 1a6c 522f 33ef 73be .........lR/3.s.
|
||||
0000530: 0000 0000 0000 0000 0e69 5a77 ef3f 613e .........iZw.?a>
|
||||
0000540: 0000 0000 0000 0000 83d3 00cf 74a4 e4bf ............t...
|
||||
0000550: 0000 0000 0000 0000 e0c9 1246 8398 663e ...........F..f>
|
||||
0000560: 0000 0000 0000 0000 df05 97c4 fdcd a8bf ................
|
||||
0000570: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
0000580: 5865 652e d78d 543e 0000 0000 0000 0000 Xee...T>........
|
||||
0000590: e287 40f4 d20f e63f 0000 0000 0000 0000 ..@....?........
|
||||
00005a0: 6015 14f3 d20f e63f 0000 0000 0000 0000 `......?........
|
||||
00005b0: 1f46 1b02 2ad0 953e 0000 0000 0000 0000 .F..*..>........
|
||||
00005c0: a896 501e cc76 adbe 0000 0000 0000 0000 ..P..v..........
|
||||
00005d0: 50e1 ce66 d74e a9be 0000 0000 0000 0000 P..f.N..........
|
||||
00005e0: 68c6 cb41 12c4 94be 0000 0000 0000 0000 h..A............
|
||||
00005f0: b8b6 a59a 2725 b03e 0000 0000 0000 0000 ....'%.>........
|
||||
0000600: 000c e03e d4e6 723e 0000 0000 0000 0000 ...>..r>........
|
||||
0000610: 0000 0000 0000 0040 5034 3525 9915 1d3e .......@P45%...>
|
||||
0000620: 0000 0000 0000 0000 0eb1 b04c a169 8b3e ...........L.i.>
|
||||
0000630: 0000 0000 0000 0000 15a6 44c3 d2bb 8c3e ..........D....>
|
||||
0000640: 0000 0000 0000 0000 358d 6630 0564 edbf ........5.f0.d..
|
||||
0000650: 0000 0000 0000 0000 f093 7bd3 66dd a93e ..........{.f..>
|
||||
0000660: 0000 0000 0000 0000 300e e949 11a8 7d3e ........0..I..}>
|
||||
0000670: 0000 0000 0000 0000 4e4d eb99 4625 69be ........NM..F%i.
|
||||
0000680: 0000 0000 0000 0000 7065 6266 62dd aabe ........pebfb...
|
||||
0000690: 0000 0000 0000 0000 7a8f 27f1 7c5e 653e ........z.'.|^e>
|
||||
00006a0: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
00006b0: 86a7 8f83 5c29 64be 0000 0000 0000 0000 ....\)d.........
|
||||
00006c0: 6105 908f 5ec9 e23f 0000 0000 0000 0000 a...^..?........
|
||||
00006d0: 3010 7490 5ec9 e2bf 0000 0000 0000 0000 0.t.^...........
|
||||
00006e0: f3a7 bf6b 3ebc 39be 0000 0000 0000 0000 ...k>.9.........
|
||||
00006f0: a054 44ce 55ef 573e 0000 0000 0000 0000 .TD.U.W>........
|
||||
0000700: 3061 3567 33aa a53e 0000 0000 0000 0000 0a5g3..>........
|
||||
0000710: 2024 2b9b e650 843e 0000 0000 0000 0000 $+..P.>........
|
||||
0000720: d8a7 4cf5 ad7e 6abe 0000 0000 0000 0000 ..L..~j.........
|
||||
0000730: d869 203f 9533 a2be 0000 0000 0000 0000 .i ?.3..........
|
||||
0000740: 0000 0000 0000 0040 6bf4 6d7e 31b5 b03f .......@k.m~1..?
|
||||
0000750: 0000 0000 0000 0000 3219 ab9d 1f41 96be ........2....A..
|
||||
0000760: 0000 0000 0000 0000 b926 d998 ffe0 9f3e .........&.....>
|
||||
0000770: 0000 0000 0000 0000 c77d 8dee 2ae1 b83e .........}..*..>
|
||||
0000780: 0000 0000 0000 0000 7076 1727 a6a1 653e ........pv.'..e>
|
||||
0000790: 0000 0000 0000 0000 c8e3 69f1 3f54 cbbf ..........i.?T..
|
||||
00007a0: 0000 0000 0000 0000 bc51 aadf 8db5 b4bf .........Q......
|
||||
00007b0: 0000 0000 0000 0000 8421 5e6d b864 653e .........!^m.de>
|
||||
00007c0: 0000 0000 0000 0000 a45c 97d6 47ef c13f .........\..G..?
|
||||
00007d0: 0000 0000 0000 0000 0000 0000 0000 0040 ...............@
|
||||
00007e0: 580c fc1b 6050 b43e 0000 0000 0000 0000 X...`P.>........
|
||||
00007f0: e1dd 2899 963d b9be 0000 0000 0000 0000 ..(..=..........
|
||||
0000800: f098 804f 9cee babe 0000 0000 0000 0000 ...O............
|
||||
0000810: bbba a80f 6b53 9c3e 0000 0000 0000 0000 ....kS.>........
|
||||
0000820: cdc5 748c 3631 e0bf 0000 0000 0000 0000 ..t.61..........
|
||||
0000830: 2af0 1da2 580a a13e 0000 0000 0000 0000 *...X..>........
|
||||
0000840: f85a ee26 9852 843e 0000 0000 0000 0000 .Z.&.R.>........
|
||||
0000850: 31c5 468c 3631 e03f 0000 0000 0000 0000 1.F.61.?........
|
||||
0000860: 9299 7dec f414 86be 0000 0000 0000 0000 ..}.............
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7 0.7211366 0.0000000
|
||||
8 0.0000000 0.0000000
|
||||
9 0.0000478 0.0000000
|
||||
1 1 3 6 0.00000
|
||||
1 -0.0000010 0.0000000
|
||||
2 0.0000001 0.0000000
|
||||
3 -0.0000001 0.0000000
|
||||
4 0.0000003 0.0000000
|
||||
5 -0.4425794 0.0000000
|
||||
6 -0.5088829 0.0000000
|
||||
7 -0.0000000 0.0000000
|
||||
8 -0.5129848 0.0000000
|
||||
9 0.0000000 0.0000000
|
||||
1 1 3 7 0.00000
|
||||
1 0.0000000 0.0000000
|
||||
2 0.0000001 0.0000000
|
||||
3 -0.0000001 0.0000000
|
||||
4 -0.0000000 0.0000000
|
||||
5 -0.6791375 0.0000000
|
||||
6 0.2412815 0.0000000
|
||||
7 -0.0000002 0.0000000
|
||||
8 0.3450642 0.0000000
|
||||
9 -0.0000001 0.0000000
|
||||
1 1 3 8 0.00000
|
||||
1 -0.0000000 0.0000000
|
||||
2 0.0000001 0.0000000
|
||||
3 -0.0000000 0.0000000
|
||||
4 0.0000002 0.0000000
|
||||
5 -0.0362770 0.0000000
|
||||
6 0.4965687 0.0000000
|
||||
7 -0.0000001 0.0000000
|
||||
8 -0.4630865 0.0000000
|
||||
9 0.0000001 0.0000000
|
||||
1 1 3 9 0.00000
|
||||
1 0.0000002 0.0000000
|
||||
2 0.0137783 0.0000000
|
||||
3 -0.0194955 0.0000000
|
||||
4 -0.0003781 0.0000000
|
||||
5 -0.0000000 0.0000000
|
||||
6 0.0000000 0.0000000
|
||||
7 -0.0000001 0.0000000
|
||||
8 0.0000000 0.0000000
|
||||
9 0.0000000 0.0000000
|
||||
|
Binary file not shown.
@ -1,56 +0,0 @@
|
||||
r"""
|
||||
Module defining a custom TestCase with extra functionality.
|
||||
"""
|
||||
|
||||
import unittest
|
||||
import numpy as np
|
||||
import difflib
|
||||
|
||||
class MyTestCase(unittest.TestCase):
|
||||
"""
|
||||
Custom TestCase class supporting additional equality checks:
|
||||
- numpy array equality
|
||||
- file equality
|
||||
"""
|
||||
def __init__(self, *args, **kwargs):
|
||||
"""
|
||||
Initializes a custom equality function for comparing numpy arrays.
|
||||
"""
|
||||
super(MyTestCase, self).__init__(*args, **kwargs)
|
||||
self.addTypeEqualityFunc(np.ndarray, self.is_arrays_equal)
|
||||
|
||||
def is_arrays_equal(self, arr1, arr2, msg=None):
|
||||
"""
|
||||
Raises self.failureException is arrays arr1 and arr2
|
||||
are not equal.
|
||||
"""
|
||||
if not np.allclose(arr1, arr2):
|
||||
raise self.failureException(msg)
|
||||
|
||||
def assertFileEqual(self, file1, file2):
|
||||
"""
|
||||
Compares two files using difflib.
|
||||
Empty lines are ignored.
|
||||
Files are assumed to be relatively small, otherwise
|
||||
the data is truncated.
|
||||
"""
|
||||
MAX_SIZE = 100000
|
||||
with open(file1, 'r') as f1:
|
||||
str1 = f1.read(MAX_SIZE)
|
||||
with open(file2, 'r') as f2:
|
||||
str2 = f2.read(MAX_SIZE)
|
||||
#
|
||||
# Make a diff
|
||||
#
|
||||
# Remove empty lines
|
||||
lstr1 = filter(lambda s: s.strip() != '', str1.splitlines(True))
|
||||
lstr2 = filter(lambda s: s.strip() != '', str2.splitlines(True))
|
||||
# diff
|
||||
delta = difflib.unified_diff(lstr1, lstr2)
|
||||
# combine delta's to a string
|
||||
diff = ''.join(delta)
|
||||
# if 'diff' is non-empty, files are different
|
||||
if diff:
|
||||
return self.fail("Files '%s' and '%s' differ"%(file1, file2))
|
||||
|
||||
|
@ -1 +0,0 @@
|
||||
PYTHONPATH=../../python:../../c:$PYTHONPATH python $1
|
@ -1,93 +0,0 @@
|
||||
r"""
|
||||
Tests of 'read_plocar()' from module 'plocar_io.c_plocar_io'
|
||||
"""
|
||||
import mytest
|
||||
import numpy as np
|
||||
from plocar_io.c_plocar_io import read_plocar
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestFileIO
|
||||
#
|
||||
################################################################################
|
||||
class TestFileIO(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def read_plocar(filename)
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** file PLOCAR does not exist **raise** IOError
|
||||
- **if** PLOCAR is truncated **raise** IOError
|
||||
- **if** the precision flag is not 4 or 8 **raise** ValueError
|
||||
- **if** PLOCAR with prec=8 is read **compare** the output
|
||||
- **if** PLOCAR with prec=4 is read **compare** the output
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_no_plocar(self):
|
||||
err_mess = "Error opening xPLOCAR"
|
||||
with self.assertRaisesRegexp(IOError, err_mess):
|
||||
read_plocar('xPLOCAR')
|
||||
|
||||
# Scenario 2
|
||||
def test_end_of_file(self):
|
||||
err_mess = "End-of-file reading"
|
||||
with self.assertRaisesRegexp(IOError, err_mess):
|
||||
read_plocar('PLOCAR.trunc')
|
||||
|
||||
# Scenario 3
|
||||
def test_wrong_prec(self):
|
||||
err_mess = "only 'prec = 4, 8' are supported"
|
||||
with self.assertRaisesRegexp(ValueError, err_mess):
|
||||
read_plocar('PLOCAR.noprec')
|
||||
|
||||
# Scenario 4
|
||||
def test_plocar_prec8(self):
|
||||
pars, plo, ferw = read_plocar('PLOCAR.prec8')
|
||||
nion, ns, nk, nb, nlm = plo.shape
|
||||
|
||||
test_file = 'PLOCAR.prec8.out.test'
|
||||
with open(test_file, 'wt') as f:
|
||||
f.write(" nlm =%5i\n"%(nlm))
|
||||
ion = 1
|
||||
isp = 1
|
||||
for ik in xrange(nk):
|
||||
for ib in xrange(nb):
|
||||
f.write("%5i%5i%5i%5i%10.5f\n"%(ion, isp, ik+1, ib+1, ferw[0, 0, ik, ib]))
|
||||
for ilm in xrange(nlm):
|
||||
p = plo[0, 0, ik, ib, ilm]
|
||||
f.write("%5i%15.7f%15.7f\n"%(ilm+1, p.real, p.imag))
|
||||
|
||||
expected_file = 'PLOCAR.prec8.out'
|
||||
self.assertFileEqual(test_file, expected_file)
|
||||
|
||||
# Scenario 5
|
||||
def test_plocar_example(self):
|
||||
pars, plo, ferw = read_plocar('PLOCAR.example')
|
||||
nion, ns, nk, nb, nlm = plo.shape
|
||||
|
||||
self.assertEqual(pars['nion'], nion)
|
||||
self.assertEqual(pars['ns'], ns)
|
||||
self.assertEqual(pars['nk'], nk)
|
||||
self.assertEqual(pars['nb'], nb)
|
||||
|
||||
test_file = 'PLOCAR.example.out.test'
|
||||
with open(test_file, 'wt') as f:
|
||||
f.write("pars: %s\n"%(pars))
|
||||
for ion in xrange(nion):
|
||||
for isp in xrange(ns):
|
||||
for ik in xrange(nk):
|
||||
for ib in xrange(nb):
|
||||
f.write("%5i%5i%5i%5i %s\n"%(ion+1, isp+1, ik+1, ib+1,
|
||||
ferw[ion, isp, ik, ib]))
|
||||
for ilm in xrange(nlm):
|
||||
p = plo[ion, isp, ik, ib, ilm]
|
||||
f.write("%5i %s\n"%(ilm+1, p))
|
||||
|
||||
expected_file = 'PLOCAR.example.out'
|
||||
self.assertFileEqual(test_file, expected_file)
|
||||
|
||||
|
||||
|
||||
|
@ -1,10 +0,0 @@
|
||||
r"""
|
||||
Test suite for module `plocar_io`.
|
||||
"""
|
||||
import unittest
|
||||
|
||||
if __name__ == '__main__':
|
||||
suite = unittest.TestLoader().discover('./')
|
||||
unittest.TextTestRunner(verbosity=2, buffer=True).run(suite)
|
||||
# unittest.TextTestRunner(verbosity=2, buffer=False).run(suite)
|
||||
|
@ -1,2 +0,0 @@
|
||||
*.pyc
|
||||
*.test
|
@ -1,609 +0,0 @@
|
||||
1 1 1 0
|
||||
0.1333597E+02 0.2587511E-09 0.2587511E-09 0.2587511E-09 0.5000000E-15
|
||||
1.000000000000000E-004
|
||||
CAR
|
||||
V
|
||||
17.10090628 -34.14880953 301 5.84395237 1.00000000
|
||||
-34.149 0.0000E+00 0.0000E+00
|
||||
-33.978 0.0000E+00 0.0000E+00
|
||||
-33.807 0.0000E+00 0.0000E+00
|
||||
-33.636 0.0000E+00 0.0000E+00
|
||||
-33.465 0.0000E+00 0.0000E+00
|
||||
-33.295 0.0000E+00 0.0000E+00
|
||||
-33.124 0.0000E+00 0.0000E+00
|
||||
-32.953 0.0000E+00 0.0000E+00
|
||||
-32.782 0.3428E-37 0.5857E-38
|
||||
-32.611 0.1961E-24 0.3349E-25
|
||||
-32.440 0.2784E-14 0.4757E-15
|
||||
-32.270 0.8681E-07 0.1483E-07
|
||||
-32.099 0.3941E-02 0.6732E-03
|
||||
-31.928 -0.2188E+00 -0.3670E-01
|
||||
-31.757 0.8736E+01 0.1456E+01
|
||||
-31.586 0.8403E+01 0.2891E+01
|
||||
-31.415 0.2792E+01 0.3368E+01
|
||||
-31.245 0.6307E+01 0.4445E+01
|
||||
-31.074 0.7856E+01 0.5787E+01
|
||||
-30.903 0.1212E+01 0.5994E+01
|
||||
-30.732 0.3246E-01 0.6000E+01
|
||||
-30.561 0.3448E-04 0.6000E+01
|
||||
-30.390 0.2050E-10 0.6000E+01
|
||||
-30.220 0.0000E+00 0.6000E+01
|
||||
-30.049 0.0000E+00 0.6000E+01
|
||||
-29.878 0.0000E+00 0.6000E+01
|
||||
-29.707 0.0000E+00 0.6000E+01
|
||||
-29.536 0.0000E+00 0.6000E+01
|
||||
-29.366 0.0000E+00 0.6000E+01
|
||||
-29.195 0.0000E+00 0.6000E+01
|
||||
-29.024 0.0000E+00 0.6000E+01
|
||||
-28.853 0.0000E+00 0.6000E+01
|
||||
-28.682 0.0000E+00 0.6000E+01
|
||||
-28.511 0.0000E+00 0.6000E+01
|
||||
-28.341 0.0000E+00 0.6000E+01
|
||||
-28.170 0.0000E+00 0.6000E+01
|
||||
-27.999 0.0000E+00 0.6000E+01
|
||||
-27.828 0.0000E+00 0.6000E+01
|
||||
-27.657 0.0000E+00 0.6000E+01
|
||||
-27.486 0.0000E+00 0.6000E+01
|
||||
-27.316 0.0000E+00 0.6000E+01
|
||||
-27.145 0.0000E+00 0.6000E+01
|
||||
-26.974 0.0000E+00 0.6000E+01
|
||||
-26.803 0.0000E+00 0.6000E+01
|
||||
-26.632 0.0000E+00 0.6000E+01
|
||||
-26.461 0.0000E+00 0.6000E+01
|
||||
-26.291 0.0000E+00 0.6000E+01
|
||||
-26.120 0.0000E+00 0.6000E+01
|
||||
-25.949 0.0000E+00 0.6000E+01
|
||||
-25.778 0.0000E+00 0.6000E+01
|
||||
-25.607 0.0000E+00 0.6000E+01
|
||||
-25.436 0.0000E+00 0.6000E+01
|
||||
-25.266 0.0000E+00 0.6000E+01
|
||||
-25.095 0.0000E+00 0.6000E+01
|
||||
-24.924 0.0000E+00 0.6000E+01
|
||||
-24.753 0.0000E+00 0.6000E+01
|
||||
-24.582 0.0000E+00 0.6000E+01
|
||||
-24.411 0.0000E+00 0.6000E+01
|
||||
-24.241 0.0000E+00 0.6000E+01
|
||||
-24.070 0.0000E+00 0.6000E+01
|
||||
-23.899 0.0000E+00 0.6000E+01
|
||||
-23.728 0.0000E+00 0.6000E+01
|
||||
-23.557 0.0000E+00 0.6000E+01
|
||||
-23.386 0.0000E+00 0.6000E+01
|
||||
-23.216 0.0000E+00 0.6000E+01
|
||||
-23.045 0.0000E+00 0.6000E+01
|
||||
-22.874 0.0000E+00 0.6000E+01
|
||||
-22.703 0.0000E+00 0.6000E+01
|
||||
-22.532 0.0000E+00 0.6000E+01
|
||||
-22.361 0.0000E+00 0.6000E+01
|
||||
-22.191 0.0000E+00 0.6000E+01
|
||||
-22.020 0.0000E+00 0.6000E+01
|
||||
-21.849 0.0000E+00 0.6000E+01
|
||||
-21.678 0.0000E+00 0.6000E+01
|
||||
-21.507 0.0000E+00 0.6000E+01
|
||||
-21.336 0.0000E+00 0.6000E+01
|
||||
-21.166 0.0000E+00 0.6000E+01
|
||||
-20.995 0.0000E+00 0.6000E+01
|
||||
-20.824 0.0000E+00 0.6000E+01
|
||||
-20.653 0.0000E+00 0.6000E+01
|
||||
-20.482 0.0000E+00 0.6000E+01
|
||||
-20.311 0.0000E+00 0.6000E+01
|
||||
-20.141 0.0000E+00 0.6000E+01
|
||||
-19.970 0.0000E+00 0.6000E+01
|
||||
-19.799 0.0000E+00 0.6000E+01
|
||||
-19.628 0.0000E+00 0.6000E+01
|
||||
-19.457 0.0000E+00 0.6000E+01
|
||||
-19.286 0.0000E+00 0.6000E+01
|
||||
-19.116 0.0000E+00 0.6000E+01
|
||||
-18.945 0.0000E+00 0.6000E+01
|
||||
-18.774 0.0000E+00 0.6000E+01
|
||||
-18.603 0.0000E+00 0.6000E+01
|
||||
-18.432 0.0000E+00 0.6000E+01
|
||||
-18.261 0.0000E+00 0.6000E+01
|
||||
-18.091 0.0000E+00 0.6000E+01
|
||||
-17.920 0.0000E+00 0.6000E+01
|
||||
-17.749 0.0000E+00 0.6000E+01
|
||||
-17.578 0.0000E+00 0.6000E+01
|
||||
-17.407 0.0000E+00 0.6000E+01
|
||||
-17.236 0.0000E+00 0.6000E+01
|
||||
-17.066 0.0000E+00 0.6000E+01
|
||||
-16.895 0.0000E+00 0.6000E+01
|
||||
-16.724 0.0000E+00 0.6000E+01
|
||||
-16.553 0.0000E+00 0.6000E+01
|
||||
-16.382 0.0000E+00 0.6000E+01
|
||||
-16.211 0.0000E+00 0.6000E+01
|
||||
-16.041 0.0000E+00 0.6000E+01
|
||||
-15.870 0.0000E+00 0.6000E+01
|
||||
-15.699 0.0000E+00 0.6000E+01
|
||||
-15.528 0.0000E+00 0.6000E+01
|
||||
-15.357 0.0000E+00 0.6000E+01
|
||||
-15.186 0.0000E+00 0.6000E+01
|
||||
-15.016 0.0000E+00 0.6000E+01
|
||||
-14.845 0.0000E+00 0.6000E+01
|
||||
-14.674 0.0000E+00 0.6000E+01
|
||||
-14.503 0.0000E+00 0.6000E+01
|
||||
-14.332 0.0000E+00 0.6000E+01
|
||||
-14.161 0.0000E+00 0.6000E+01
|
||||
-13.991 0.0000E+00 0.6000E+01
|
||||
-13.820 0.0000E+00 0.6000E+01
|
||||
-13.649 0.0000E+00 0.6000E+01
|
||||
-13.478 0.0000E+00 0.6000E+01
|
||||
-13.307 0.0000E+00 0.6000E+01
|
||||
-13.136 0.0000E+00 0.6000E+01
|
||||
-12.966 0.0000E+00 0.6000E+01
|
||||
-12.795 0.0000E+00 0.6000E+01
|
||||
-12.624 0.0000E+00 0.6000E+01
|
||||
-12.453 0.0000E+00 0.6000E+01
|
||||
-12.282 0.0000E+00 0.6000E+01
|
||||
-12.111 0.0000E+00 0.6000E+01
|
||||
-11.941 0.0000E+00 0.6000E+01
|
||||
-11.770 0.0000E+00 0.6000E+01
|
||||
-11.599 0.0000E+00 0.6000E+01
|
||||
-11.428 0.0000E+00 0.6000E+01
|
||||
-11.257 0.0000E+00 0.6000E+01
|
||||
-11.086 0.0000E+00 0.6000E+01
|
||||
-10.916 0.0000E+00 0.6000E+01
|
||||
-10.745 0.0000E+00 0.6000E+01
|
||||
-10.574 0.0000E+00 0.6000E+01
|
||||
-10.403 0.0000E+00 0.6000E+01
|
||||
-10.232 0.0000E+00 0.6000E+01
|
||||
-10.061 0.0000E+00 0.6000E+01
|
||||
-9.891 0.0000E+00 0.6000E+01
|
||||
-9.720 0.0000E+00 0.6000E+01
|
||||
-9.549 0.0000E+00 0.6000E+01
|
||||
-9.378 0.0000E+00 0.6000E+01
|
||||
-9.207 0.0000E+00 0.6000E+01
|
||||
-9.036 0.0000E+00 0.6000E+01
|
||||
-8.866 0.0000E+00 0.6000E+01
|
||||
-8.695 0.0000E+00 0.6000E+01
|
||||
-8.524 0.0000E+00 0.6000E+01
|
||||
-8.353 0.0000E+00 0.6000E+01
|
||||
-8.182 0.0000E+00 0.6000E+01
|
||||
-8.011 0.0000E+00 0.6000E+01
|
||||
-7.841 0.0000E+00 0.6000E+01
|
||||
-7.670 0.0000E+00 0.6000E+01
|
||||
-7.499 0.0000E+00 0.6000E+01
|
||||
-7.328 0.0000E+00 0.6000E+01
|
||||
-7.157 0.0000E+00 0.6000E+01
|
||||
-6.986 0.0000E+00 0.6000E+01
|
||||
-6.816 0.0000E+00 0.6000E+01
|
||||
-6.645 0.0000E+00 0.6000E+01
|
||||
-6.474 0.0000E+00 0.6000E+01
|
||||
-6.303 0.0000E+00 0.6000E+01
|
||||
-6.132 0.0000E+00 0.6000E+01
|
||||
-5.961 0.0000E+00 0.6000E+01
|
||||
-5.791 0.0000E+00 0.6000E+01
|
||||
-5.620 0.0000E+00 0.6000E+01
|
||||
-5.449 0.0000E+00 0.6000E+01
|
||||
-5.278 0.0000E+00 0.6000E+01
|
||||
-5.107 0.0000E+00 0.6000E+01
|
||||
-4.936 0.0000E+00 0.6000E+01
|
||||
-4.766 0.0000E+00 0.6000E+01
|
||||
-4.595 0.0000E+00 0.6000E+01
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-7.670 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-7.499 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-7.328 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-7.157 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.986 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.816 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.645 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.474 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.303 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-6.132 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.961 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.791 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.620 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.449 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.278 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-5.107 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.936 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.766 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.595 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.424 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.253 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-4.082 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.911 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.741 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.570 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.399 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.228 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-3.057 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.886 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.716 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.545 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.374 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.203 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-2.032 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-1.861 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
-1.691 0.8099E-32 0.1367E-62 0.1622E-42
|
||||
-1.520 0.2309E-20 0.3896E-51 0.4625E-31
|
||||
-1.349 0.1558E-11 0.2629E-42 0.3121E-22
|
||||
-1.178 0.1995E-05 0.3366E-36 0.3996E-16
|
||||
-1.007 0.1093E-02 0.1845E-33 0.2190E-13
|
||||
-0.836 0.6089E-01 0.1027E-31 0.1220E-11
|
||||
-0.666 0.1738E+00 0.2932E-31 0.3481E-11
|
||||
-0.495 -0.2951E-02 -0.4980E-33 -0.5912E-13
|
||||
-0.324 0.2789E-04 0.4705E-35 0.5586E-15
|
||||
-0.153 0.1299E-09 0.2193E-40 0.2603E-20
|
||||
0.018 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
0.189 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
0.359 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
0.530 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
0.701 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
0.872 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
1.043 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
1.213 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
1.384 0.3864E-26 0.8487E-27 0.4497E-26
|
||||
1.555 0.9904E-16 0.2176E-16 0.1153E-15
|
||||
1.726 0.5665E-08 0.1244E-08 0.6594E-08
|
||||
1.897 0.4940E-03 0.1085E-03 0.5750E-03
|
||||
2.068 -0.4603E-01 -0.1011E-01 -0.5358E-01
|
||||
2.238 0.1317E+01 0.2892E+00 0.1533E+01
|
||||
2.409 0.1176E+00 0.2582E-01 0.1368E+00
|
||||
2.580 0.6212E-02 0.1365E-02 0.7230E-02
|
||||
2.751 0.2753E-05 0.6047E-06 0.3204E-05
|
||||
2.922 0.8456E-09 0.1593E-08 0.8831E-08
|
||||
3.093 0.5951E-04 0.1122E-03 0.6221E-03
|
||||
3.263 -0.5066E-02 -0.9550E-02 -0.5296E-01
|
||||
3.434 0.1306E+00 0.2462E+00 0.1365E+01
|
||||
3.605 0.7168E-02 0.1351E-01 0.5448E-01
|
||||
3.776 0.1498E-02 0.1115E-02 0.1449E+01
|
||||
3.947 0.3581E-01 0.2981E-02 0.1090E+01
|
||||
4.118 0.1593E+00 0.1326E-01 0.2235E+01
|
||||
4.288 -0.3799E-02 -0.3160E-03 -0.5305E-01
|
||||
4.459 0.3529E-04 0.1850E-02 0.9953E-02
|
||||
4.630 0.2305E-09 -0.3490E-01 -0.2077E+00
|
||||
4.801 0.1012E-11 0.9395E+00 0.7761E+01
|
||||
4.972 -0.4885E-13 -0.4536E-01 0.1311E+01
|
||||
5.143 0.1235E-14 0.1147E-02 0.2449E-01
|
||||
5.313 0.5375E-11 0.5226E-07 0.6163E-04
|
||||
5.484 0.4760E-05 0.1406E-04 0.3678E-04
|
||||
5.655 0.1115E-02 0.3295E-02 0.8762E-02
|
||||
5.826 0.1092E+00 0.3226E+00 0.8285E+00
|
||||
5.997 0.1975E+00 0.5835E+00 0.2436E+01
|
||||
6.168 -0.1863E-02 -0.5502E-02 0.3082E+00
|
||||
6.338 0.2204E-04 0.6510E-04 0.5891E-02
|
||||
6.509 0.7017E-10 0.2073E-09 0.1064E-04
|
||||
6.680 0.9358E-23 0.1488E-18 0.8389E-11
|
||||
6.851 0.1030E-21 0.3246E-10 0.6418E-09
|
||||
7.022 0.3923E-16 0.1237E-04 0.2446E-03
|
||||
7.193 -0.2406E-14 -0.7587E-03 -0.1500E-01
|
||||
7.363 0.2299E-10 0.1331E+00 0.2633E+01
|
||||
7.534 0.2215E-05 0.9189E-01 0.1819E+01
|
||||
7.705 -0.2154E-03 -0.4014E-03 -0.1353E+00
|
||||
7.876 0.6585E-02 0.3074E-01 0.4480E+01
|
||||
8.047 0.7363E-03 0.3778E-02 0.1344E+01
|
||||
8.218 0.3293E-04 0.8301E-02 0.3896E+01
|
||||
8.388 0.1716E-07 0.7527E-01 0.8529E+01
|
||||
8.559 0.3604E-10 0.7904E-02 0.2641E+01
|
||||
8.730 0.4255E-10 0.4352E-01 0.4011E+01
|
||||
8.901 -0.9775E-12 -0.9930E-03 -0.9195E-01
|
||||
9.072 0.9084E-14 0.9189E-05 0.8537E-03
|
||||
9.243 0.5648E-19 0.5713E-10 0.5308E-08
|
||||
9.413 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
9.584 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
9.755 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
9.926 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
10.097 0.9369E-38 0.9180E-38 0.1894E-37
|
||||
10.268 0.4418E-25 0.4329E-25 0.8930E-25
|
||||
10.438 0.5159E-15 0.5055E-15 0.1043E-14
|
||||
10.609 0.1311E-07 0.1285E-07 0.2650E-07
|
||||
10.780 0.4524E-03 0.4432E-03 0.9144E-03
|
||||
10.951 -0.2549E-01 -0.2498E-01 -0.5153E-01
|
||||
11.122 0.5333E+00 0.5226E+00 0.1078E+01
|
||||
11.293 -0.8611E-02 -0.8437E-02 -0.1741E-01
|
||||
11.463 0.1436E-02 0.1407E-02 0.2902E-02
|
||||
11.634 0.2049E-06 0.2008E-06 0.4142E-06
|
||||
11.805 0.2993E-13 0.2933E-13 0.6050E-13
|
||||
11.976 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
12.147 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
12.318 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
12.488 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
12.659 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
12.830 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.001 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.172 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.343 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.513 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.684 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
13.855 0.3209E-47 0.3498E-34 0.5894E-34
|
||||
14.026 0.3601E-35 0.3925E-22 0.6614E-22
|
||||
14.197 0.9807E-26 0.1069E-12 0.1802E-12
|
||||
14.368 0.5466E-19 0.5958E-06 0.1004E-05
|
||||
14.538 0.2931E-15 0.3195E-02 0.5384E-02
|
||||
14.709 0.9435E-16 0.1028E-02 0.1733E-02
|
||||
14.880 0.9327E-13 0.1017E+01 0.1713E+01
|
||||
15.051 -0.4263E-14 -0.4647E-01 -0.7831E-01
|
||||
15.222 0.6490E-16 0.7075E-03 0.1192E-02
|
||||
15.393 0.1489E-20 0.1623E-07 0.2734E-07
|
||||
15.563 0.4966E-28 0.5413E-15 0.9122E-15
|
||||
15.734 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
15.905 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.076 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.247 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.418 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.588 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.759 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
16.930 0.0000E+00 0.0000E+00 0.0000E+00
|
||||
17.101 0.0000E+00 0.0000E+00 0.0000E+00
|
@ -1,50 +0,0 @@
|
||||
1 1 1 1
|
||||
0.1333597E+02 0.2587511E-09 0.2587511E-09 0.2587511E-09 0.5000000E-15
|
||||
1.000000000000000E-004
|
||||
CAR
|
||||
V
|
||||
11 4 9
|
||||
|
||||
0.0000000E+00 0.0000000E+00 0.0000000E+00 0.3703704E-01
|
||||
1 -31.099965
|
||||
2 -31.099965
|
||||
3 -31.099965
|
||||
4 -0.813470
|
||||
5 5.974027
|
||||
6 5.974027
|
||||
7 5.974027
|
||||
8 7.986328
|
||||
9 7.986328
|
||||
|
||||
0.3333333E+00 0.0000000E+00 0.0000000E+00 0.4444444E+00
|
||||
1 -31.819277
|
||||
2 -31.322999
|
||||
3 -31.105684
|
||||
4 2.193081
|
||||
5 4.784864
|
||||
6 5.839340
|
||||
7 7.833446
|
||||
8 8.202781
|
||||
9 8.589551
|
||||
|
||||
0.3333333E+00 0.3333333E+00 0.0000000E+00 0.2962963E+00
|
||||
1 -31.750021
|
||||
2 -31.750021
|
||||
3 -31.217560
|
||||
4 3.978315
|
||||
5 4.708263
|
||||
6 4.708263
|
||||
7 8.262522
|
||||
8 8.262522
|
||||
9 14.771374
|
||||
|
||||
-0.3333333E+00 0.3333333E+00 0.3333333E+00 0.2222222E+00
|
||||
1 -31.719893
|
||||
2 -31.577292
|
||||
3 -31.577292
|
||||
4 3.383714
|
||||
5 3.756320
|
||||
6 7.355029
|
||||
7 7.355029
|
||||
8 8.411511
|
||||
9 11.054129
|
@ -1,7 +0,0 @@
|
||||
Automatically generated mesh
|
||||
4
|
||||
Reciprocal lattice
|
||||
0.00000000000000 0.00000000000000 0.00000000000000 1
|
||||
0.33333333333333 0.00000000000000 0.00000000000000 12
|
||||
0.33333333333333 0.33333333333333 0.00000000000000 8
|
||||
-0.33333333333333 0.33333333333333 0.33333333333333 6
|
File diff suppressed because it is too large
Load Diff
Binary file not shown.
@ -1,10 +0,0 @@
|
||||
V SF test
|
||||
2.9878
|
||||
-0.5 0.5 0.5
|
||||
0.5 -0.5 0.5
|
||||
0.5 0.5 -0.5
|
||||
V
|
||||
1
|
||||
Direct
|
||||
0.0 0.0 0.0
|
||||
|
@ -1,10 +0,0 @@
|
||||
density matrix: [[[[ 2.71066432e-01 -1.07856040e-02 9.07814858e-03 -2.60324510e-01
|
||||
-2.14321077e-09]
|
||||
[ -1.07856040e-02 2.97099774e-01 9.52322235e-02 -1.38848431e-02
|
||||
-1.97357976e-01]
|
||||
[ 9.07814858e-03 9.52322235e-02 1.42730494e-01 4.53909162e-03
|
||||
-4.31946315e-02]
|
||||
[ -2.60324510e-01 -1.38848431e-02 4.53909162e-03 2.95736883e-01
|
||||
4.02728377e-02]
|
||||
[ -2.14321077e-09 -1.97357976e-01 -4.31946315e-02 4.02728377e-02
|
||||
2.35328545e-01]]]]
|
@ -1,8 +0,0 @@
|
||||
|
||||
[Shell 1]
|
||||
LSHELL = 2
|
||||
IONS = 1
|
||||
EMIN = -15.0
|
||||
EMAX = 5.0
|
||||
|
||||
|
@ -1,56 +0,0 @@
|
||||
r"""
|
||||
Module defining a custom TestCase with extra functionality.
|
||||
"""
|
||||
|
||||
import unittest
|
||||
import numpy as np
|
||||
import difflib
|
||||
|
||||
class MyTestCase(unittest.TestCase):
|
||||
"""
|
||||
Custom TestCase class supporting additional equality checks:
|
||||
- numpy array equality
|
||||
- file equality
|
||||
"""
|
||||
def __init__(self, *args, **kwargs):
|
||||
"""
|
||||
Initializes a custom equality function for comparing numpy arrays.
|
||||
"""
|
||||
super(MyTestCase, self).__init__(*args, **kwargs)
|
||||
self.addTypeEqualityFunc(np.ndarray, self.is_arrays_equal)
|
||||
|
||||
def is_arrays_equal(self, arr1, arr2, msg=None):
|
||||
"""
|
||||
Raises self.failureException is arrays arr1 and arr2
|
||||
are not equal.
|
||||
"""
|
||||
if not np.allclose(arr1, arr2):
|
||||
raise self.failureException(msg)
|
||||
|
||||
def assertFileEqual(self, file1, file2):
|
||||
"""
|
||||
Compares two files using difflib.
|
||||
Empty lines are ignored.
|
||||
Files are assumed to be relatively small;
|
||||
the data is truncated for files larger than MAX_SIZE bytes.
|
||||
"""
|
||||
MAX_SIZE = 100000
|
||||
with open(file1, 'r') as f1:
|
||||
str1 = f1.read(MAX_SIZE)
|
||||
with open(file2, 'r') as f2:
|
||||
str2 = f2.read(MAX_SIZE)
|
||||
#
|
||||
# Make a diff
|
||||
#
|
||||
# Remove empty lines
|
||||
lstr1 = filter(lambda s: s.strip() != '', str1.splitlines(True))
|
||||
lstr2 = filter(lambda s: s.strip() != '', str2.splitlines(True))
|
||||
# diff
|
||||
delta = difflib.unified_diff(lstr1, lstr2)
|
||||
# combine delta's to a string
|
||||
diff = ''.join(delta)
|
||||
# if 'diff' is non-empty, files are different
|
||||
if diff:
|
||||
return self.fail("Files '%s' and '%s' differ"%(file1, file2))
|
||||
|
||||
|
@ -1,115 +0,0 @@
|
||||
pars: {'normalize': True, 'index': '1', 'emin': -15.0, 'emax': 5.0, 'normion': False, 'shells': [0]}
|
||||
3 8
|
||||
1 (2.5198055198e-08+0j)
|
||||
2 (2.51956215891e-08+0j)
|
||||
3 (-1.39707700703e-12+0j)
|
||||
4 (2.51956464581e-08+0j)
|
||||
5 (-9.58669992349e-14+0j)
|
||||
1 (0.423249542713+0j)
|
||||
2 (0.441459685564+0j)
|
||||
3 (5.45383349593e-10+0j)
|
||||
4 (0.441459536552+0j)
|
||||
5 (-5.07696386694e-15+0j)
|
||||
1 (-0.624317586422+0j)
|
||||
2 (0.299283236265+0j)
|
||||
3 (3.00651912255e-08+0j)
|
||||
4 (0.299281418324+0j)
|
||||
5 (-5.44629513472e-14+0j)
|
||||
1 (-2.9753928743e-07+0j)
|
||||
2 (-0.495364636183+0j)
|
||||
3 (1.61749496311e-14+0j)
|
||||
4 (0.495365083218+0j)
|
||||
5 (2.86656725024e-08+0j)
|
||||
1 (2.31630860326e-12+0j)
|
||||
2 (-2.07712407274e-08+0j)
|
||||
3 (6.79555596435e-05+0j)
|
||||
4 (2.07689296872e-08+0j)
|
||||
5 (-0.686951518059+0j)
|
||||
1 (-2.55608547661e-08+0j)
|
||||
2 (1.27339729872e-08+0j)
|
||||
3 (-0.749936163425+0j)
|
||||
4 (1.27377095538e-08+0j)
|
||||
5 (-6.18639533059e-05+0j)
|
||||
3 8
|
||||
1 (-7.42354511196e-10+0j)
|
||||
2 (-0.407458901405+0j)
|
||||
3 (-0.132825627923+0j)
|
||||
4 (-1.12258624618e-09+0j)
|
||||
5 (0.230060741305+0j)
|
||||
1 (-0.529840826988+0j)
|
||||
2 (1.02242869726e-09+0j)
|
||||
3 (1.47169805231e-08+0j)
|
||||
4 (0.529840826988+0j)
|
||||
5 (8.58095106082e-09+0j)
|
||||
1 (-5.59593660299e-09+0j)
|
||||
2 (-0.46026712656+0j)
|
||||
3 (-0.189698129892+0j)
|
||||
4 (-3.64733043767e-09+0j)
|
||||
5 (0.328566819429+0j)
|
||||
1 (-5.92653073284e-08+0j)
|
||||
2 (-0.511403858662+0j)
|
||||
3 (0.342116594315+0j)
|
||||
4 (-5.81566510505e-08+0j)
|
||||
5 (-0.592563331127+0j)
|
||||
1 (9.17969966707e-09+0j)
|
||||
2 (3.7528921637e-10+0j)
|
||||
3 (0.743389487267+0j)
|
||||
4 (-7.80711495452e-09+0j)
|
||||
5 (0.429196119308+0j)
|
||||
1 (-0.60352396965+0j)
|
||||
2 (5.06060757743e-07+0j)
|
||||
3 (1.02901012156e-07+0j)
|
||||
4 (-0.60352396965+0j)
|
||||
5 (-1.76288821763e-07+0j)
|
||||
3 7
|
||||
1 (-0.157831609249+0j)
|
||||
2 (0.157831639051+0j)
|
||||
3 (1.93573299612e-08+0j)
|
||||
4 (0.157831639051+0j)
|
||||
5 (5.40782289825e-14+0j)
|
||||
1 (-1.07380124348e-07+0j)
|
||||
2 (-0.227066069841+0j)
|
||||
3 (-1.22580686934e-07+0j)
|
||||
4 (0.227065965533+0j)
|
||||
5 (0.299297988415+0j)
|
||||
1 (0.115845791996+0j)
|
||||
2 (0.057922616601+0j)
|
||||
3 (0.13223952055+0j)
|
||||
4 (0.0579231306911+0j)
|
||||
5 (3.36705625159e-07+0j)
|
||||
1 (0.159106343985+0j)
|
||||
2 (0.0795532241464+0j)
|
||||
3 (-0.240490317345+0j)
|
||||
4 (0.0795530825853+0j)
|
||||
5 (1.18692518924e-07+0j)
|
||||
1 (3.98122104173e-08+0j)
|
||||
2 (-0.241537705064+0j)
|
||||
3 (-6.01558127755e-08+0j)
|
||||
4 (0.241537734866+0j)
|
||||
5 (-0.421558618546+0j)
|
||||
3 7
|
||||
1 (7.91286647317e-10+0j)
|
||||
2 (3.03037844818e-10+0j)
|
||||
3 (0.204362645745+0j)
|
||||
4 (4.89190632447e-10+0j)
|
||||
5 (-0.353966474533+0j)
|
||||
1 (9.13699960137e-09+0j)
|
||||
2 (1.0438577086e-10+0j)
|
||||
3 (-0.42577791214+0j)
|
||||
4 (-6.95880419954e-09+0j)
|
||||
5 (-0.245822981+0j)
|
||||
1 (0.368288576603+0j)
|
||||
2 (1.67113629601e-08+0j)
|
||||
3 (-1.44080747333e-10+0j)
|
||||
4 (0.365979760885+0j)
|
||||
5 (1.25375620996e-09+0j)
|
||||
1 (0.365983724594+0j)
|
||||
2 (-2.74820233237e-09+0j)
|
||||
3 (1.77222470032e-09+0j)
|
||||
4 (-0.368292748928+0j)
|
||||
5 (7.90098320103e-10+0j)
|
||||
1 (-3.99936368467e-08+0j)
|
||||
2 (0.546248733997+0j)
|
||||
3 (-2.91795543284e-09+0j)
|
||||
4 (-2.16134438347e-07+0j)
|
||||
5 (1.55786352707e-08+0j)
|
@ -1,115 +0,0 @@
|
||||
pars: {'normalize': True, 'index': '1', 'emin': -15.0, 'emax': 5.0, 'normion': False, 'shells': [0]}
|
||||
3 8
|
||||
1 (2.5198055198e-08+0j)
|
||||
2 (2.51956215891e-08+0j)
|
||||
3 (-1.39707700703e-12+0j)
|
||||
4 (2.51956464581e-08+0j)
|
||||
5 (-9.58669992349e-14+0j)
|
||||
1 (0.423249542713+0j)
|
||||
2 (0.441459685564+0j)
|
||||
3 (5.45383349593e-10+0j)
|
||||
4 (0.441459536552+0j)
|
||||
5 (-5.07696386694e-15+0j)
|
||||
1 (-0.624317586422+0j)
|
||||
2 (0.299283236265+0j)
|
||||
3 (3.00651912255e-08+0j)
|
||||
4 (0.299281418324+0j)
|
||||
5 (-5.44629513472e-14+0j)
|
||||
1 (-2.9753928743e-07+0j)
|
||||
2 (-0.495364636183+0j)
|
||||
3 (1.61749496311e-14+0j)
|
||||
4 (0.495365083218+0j)
|
||||
5 (2.86656725024e-08+0j)
|
||||
1 (2.31630860326e-12+0j)
|
||||
2 (-2.07712407274e-08+0j)
|
||||
3 (6.79555596435e-05+0j)
|
||||
4 (2.07689296872e-08+0j)
|
||||
5 (-0.686951518059+0j)
|
||||
1 (-2.55608547661e-08+0j)
|
||||
2 (1.27339729872e-08+0j)
|
||||
3 (-0.749936163425+0j)
|
||||
4 (1.27377095538e-08+0j)
|
||||
5 (-6.18639533059e-05+0j)
|
||||
3 8
|
||||
1 (-7.42354511196e-10+0j)
|
||||
2 (-0.407458901405+0j)
|
||||
3 (-0.132825627923+0j)
|
||||
4 (-1.12258624618e-09+0j)
|
||||
5 (0.230060741305+0j)
|
||||
1 (-0.529840826988+0j)
|
||||
2 (1.02242869726e-09+0j)
|
||||
3 (1.47169805231e-08+0j)
|
||||
4 (0.529840826988+0j)
|
||||
5 (8.58095106082e-09+0j)
|
||||
1 (-5.59593660299e-09+0j)
|
||||
2 (-0.46026712656+0j)
|
||||
3 (-0.189698129892+0j)
|
||||
4 (-3.64733043767e-09+0j)
|
||||
5 (0.328566819429+0j)
|
||||
1 (-5.92653073284e-08+0j)
|
||||
2 (-0.511403858662+0j)
|
||||
3 (0.342116594315+0j)
|
||||
4 (-5.81566510505e-08+0j)
|
||||
5 (-0.592563331127+0j)
|
||||
1 (9.17969966707e-09+0j)
|
||||
2 (3.7528921637e-10+0j)
|
||||
3 (0.743389487267+0j)
|
||||
4 (-7.80711495452e-09+0j)
|
||||
5 (0.429196119308+0j)
|
||||
1 (-0.60352396965+0j)
|
||||
2 (5.06060757743e-07+0j)
|
||||
3 (1.02901012156e-07+0j)
|
||||
4 (-0.60352396965+0j)
|
||||
5 (-1.76288821763e-07+0j)
|
||||
3 7
|
||||
1 (-0.157831609249+0j)
|
||||
2 (0.157831639051+0j)
|
||||
3 (1.93573299612e-08+0j)
|
||||
4 (0.157831639051+0j)
|
||||
5 (5.40782289825e-14+0j)
|
||||
1 (-1.07380124348e-07+0j)
|
||||
2 (-0.227066069841+0j)
|
||||
3 (-1.22580686934e-07+0j)
|
||||
4 (0.227065965533+0j)
|
||||
5 (0.299297988415+0j)
|
||||
1 (0.115845791996+0j)
|
||||
2 (0.057922616601+0j)
|
||||
3 (0.13223952055+0j)
|
||||
4 (0.0579231306911+0j)
|
||||
5 (3.36705625159e-07+0j)
|
||||
1 (0.159106343985+0j)
|
||||
2 (0.0795532241464+0j)
|
||||
3 (-0.240490317345+0j)
|
||||
4 (0.0795530825853+0j)
|
||||
5 (1.18692518924e-07+0j)
|
||||
1 (3.98122104173e-08+0j)
|
||||
2 (-0.241537705064+0j)
|
||||
3 (-6.01558127755e-08+0j)
|
||||
4 (0.241537734866+0j)
|
||||
5 (-0.421558618546+0j)
|
||||
3 7
|
||||
1 (7.91286647317e-10+0j)
|
||||
2 (3.03037844818e-10+0j)
|
||||
3 (0.204362645745+0j)
|
||||
4 (4.89190632447e-10+0j)
|
||||
5 (-0.353966474533+0j)
|
||||
1 (9.13699960137e-09+0j)
|
||||
2 (1.0438577086e-10+0j)
|
||||
3 (-0.42577791214+0j)
|
||||
4 (-6.95880419954e-09+0j)
|
||||
5 (-0.245822981+0j)
|
||||
1 (0.368288576603+0j)
|
||||
2 (1.67113629601e-08+0j)
|
||||
3 (-1.44080747333e-10+0j)
|
||||
4 (0.365979760885+0j)
|
||||
5 (1.25375620996e-09+0j)
|
||||
1 (0.365983724594+0j)
|
||||
2 (-2.74820233237e-09+0j)
|
||||
3 (1.77222470032e-09+0j)
|
||||
4 (-0.368292748928+0j)
|
||||
5 (7.90098320103e-10+0j)
|
||||
1 (-3.99936368467e-08+0j)
|
||||
2 (0.546248733997+0j)
|
||||
3 (-2.91795543284e-09+0j)
|
||||
4 (-2.16134438347e-07+0j)
|
||||
5 (1.55786352707e-08+0j)
|
@ -1,115 +0,0 @@
|
||||
pars: {'ion_list': array([0]), 'user_index': 1, 'lshell': 2}
|
||||
3 8
|
||||
1 (2.5198055198e-08+0j)
|
||||
2 (2.51956215891e-08+0j)
|
||||
3 (-1.39707700703e-12+0j)
|
||||
4 (2.51956464581e-08+0j)
|
||||
5 (-9.58669992349e-14+0j)
|
||||
1 (0.423249542713+0j)
|
||||
2 (0.441459685564+0j)
|
||||
3 (5.45383349593e-10+0j)
|
||||
4 (0.441459536552+0j)
|
||||
5 (-5.07696386694e-15+0j)
|
||||
1 (-0.624317586422+0j)
|
||||
2 (0.299283236265+0j)
|
||||
3 (3.00651912255e-08+0j)
|
||||
4 (0.299281418324+0j)
|
||||
5 (-5.44629513472e-14+0j)
|
||||
1 (-2.9753928743e-07+0j)
|
||||
2 (-0.495364636183+0j)
|
||||
3 (1.61749496311e-14+0j)
|
||||
4 (0.495365083218+0j)
|
||||
5 (2.86656725024e-08+0j)
|
||||
1 (2.31630860326e-12+0j)
|
||||
2 (-2.07712407274e-08+0j)
|
||||
3 (6.79555596435e-05+0j)
|
||||
4 (2.07689296872e-08+0j)
|
||||
5 (-0.686951518059+0j)
|
||||
1 (-2.55608547661e-08+0j)
|
||||
2 (1.27339729872e-08+0j)
|
||||
3 (-0.749936163425+0j)
|
||||
4 (1.27377095538e-08+0j)
|
||||
5 (-6.18639533059e-05+0j)
|
||||
3 8
|
||||
1 (-7.42354511196e-10+0j)
|
||||
2 (-0.407458901405+0j)
|
||||
3 (-0.132825627923+0j)
|
||||
4 (-1.12258624618e-09+0j)
|
||||
5 (0.230060741305+0j)
|
||||
1 (-0.529840826988+0j)
|
||||
2 (1.02242869726e-09+0j)
|
||||
3 (1.47169805231e-08+0j)
|
||||
4 (0.529840826988+0j)
|
||||
5 (8.58095106082e-09+0j)
|
||||
1 (-5.59593660299e-09+0j)
|
||||
2 (-0.46026712656+0j)
|
||||
3 (-0.189698129892+0j)
|
||||
4 (-3.64733043767e-09+0j)
|
||||
5 (0.328566819429+0j)
|
||||
1 (-5.92653073284e-08+0j)
|
||||
2 (-0.511403858662+0j)
|
||||
3 (0.342116594315+0j)
|
||||
4 (-5.81566510505e-08+0j)
|
||||
5 (-0.592563331127+0j)
|
||||
1 (9.17969966707e-09+0j)
|
||||
2 (3.7528921637e-10+0j)
|
||||
3 (0.743389487267+0j)
|
||||
4 (-7.80711495452e-09+0j)
|
||||
5 (0.429196119308+0j)
|
||||
1 (-0.60352396965+0j)
|
||||
2 (5.06060757743e-07+0j)
|
||||
3 (1.02901012156e-07+0j)
|
||||
4 (-0.60352396965+0j)
|
||||
5 (-1.76288821763e-07+0j)
|
||||
3 7
|
||||
1 (-0.157831609249+0j)
|
||||
2 (0.157831639051+0j)
|
||||
3 (1.93573299612e-08+0j)
|
||||
4 (0.157831639051+0j)
|
||||
5 (5.40782289825e-14+0j)
|
||||
1 (-1.07380124348e-07+0j)
|
||||
2 (-0.227066069841+0j)
|
||||
3 (-1.22580686934e-07+0j)
|
||||
4 (0.227065965533+0j)
|
||||
5 (0.299297988415+0j)
|
||||
1 (0.115845791996+0j)
|
||||
2 (0.057922616601+0j)
|
||||
3 (0.13223952055+0j)
|
||||
4 (0.0579231306911+0j)
|
||||
5 (3.36705625159e-07+0j)
|
||||
1 (0.159106343985+0j)
|
||||
2 (0.0795532241464+0j)
|
||||
3 (-0.240490317345+0j)
|
||||
4 (0.0795530825853+0j)
|
||||
5 (1.18692518924e-07+0j)
|
||||
1 (3.98122104173e-08+0j)
|
||||
2 (-0.241537705064+0j)
|
||||
3 (-6.01558127755e-08+0j)
|
||||
4 (0.241537734866+0j)
|
||||
5 (-0.421558618546+0j)
|
||||
3 7
|
||||
1 (7.91286647317e-10+0j)
|
||||
2 (3.03037844818e-10+0j)
|
||||
3 (0.204362645745+0j)
|
||||
4 (4.89190632447e-10+0j)
|
||||
5 (-0.353966474533+0j)
|
||||
1 (9.13699960137e-09+0j)
|
||||
2 (1.0438577086e-10+0j)
|
||||
3 (-0.42577791214+0j)
|
||||
4 (-6.95880419954e-09+0j)
|
||||
5 (-0.245822981+0j)
|
||||
1 (0.368288576603+0j)
|
||||
2 (1.67113629601e-08+0j)
|
||||
3 (-1.44080747333e-10+0j)
|
||||
4 (0.365979760885+0j)
|
||||
5 (1.25375620996e-09+0j)
|
||||
1 (0.365983724594+0j)
|
||||
2 (-2.74820233237e-09+0j)
|
||||
3 (1.77222470032e-09+0j)
|
||||
4 (-0.368292748928+0j)
|
||||
5 (7.90098320103e-10+0j)
|
||||
1 (-3.99936368467e-08+0j)
|
||||
2 (0.546248733997+0j)
|
||||
3 (-2.91795543284e-09+0j)
|
||||
4 (-2.16134438347e-07+0j)
|
||||
5 (1.55786352707e-08+0j)
|
@ -1 +0,0 @@
|
||||
PYTHONPATH=../../python:../../c:$PYTHONPATH python $1
|
@ -1,34 +0,0 @@
|
||||
|
||||
import vaspio
|
||||
from inpconf import ConfigParameters
|
||||
import mytest
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestDataConsistency
|
||||
#
|
||||
################################################################################
|
||||
class TestDataConsistency(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def read_plocar(filename)
|
||||
|
||||
Scenarios:
|
||||
|
||||
- **if** file PLOCAR does not exist **raise** IOError
|
||||
- **if** PLOCAR is truncated **raise** IOError
|
||||
- **if** the precision flag is not 4 or 8 **raise** ValueError
|
||||
- **if** PLOCAR with prec=8 is read **compare** the output
|
||||
- **if** PLOCAR with prec=4 is read **compare** the output
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
|
||||
print pars.shells
|
||||
print pars.groups
|
||||
|
@ -1,10 +0,0 @@
|
||||
r"""
|
||||
Test suite for module `plotools`.
|
||||
"""
|
||||
import unittest
|
||||
|
||||
if __name__ == '__main__':
|
||||
suite = unittest.TestLoader().discover('./')
|
||||
# unittest.TextTestRunner(verbosity=2, buffer=True).run(suite)
|
||||
unittest.TextTestRunner(verbosity=2, buffer=False).run(suite)
|
||||
|
@ -1,79 +0,0 @@
|
||||
|
||||
import numpy as np
|
||||
import vaspio
|
||||
from inpconf import ConfigParameters
|
||||
from plotools import ProjectorShell, ProjectorGroup
|
||||
import mytest
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestProjectorGroup
|
||||
#
|
||||
################################################################################
|
||||
class TestProjectorGroup(mytest.MyTestCase):
|
||||
"""
|
||||
Class:
|
||||
|
||||
ProjectorGroup(sh_pars, proj_raw)
|
||||
|
||||
Scenarios:
|
||||
- test output for a correct input
|
||||
- test the output of 'orthogonalization()' (sanity check)
|
||||
"""
|
||||
def setUp(self):
|
||||
conf_file = 'example.cfg'
|
||||
self.pars = ConfigParameters(conf_file)
|
||||
self.pars.parse_input()
|
||||
self.vasp_data = vaspio.VaspData('./')
|
||||
|
||||
efermi = self.vasp_data.doscar.efermi
|
||||
eigvals = self.vasp_data.eigenval.eigs - efermi
|
||||
|
||||
self.shells = [ProjectorShell(self.pars.shells[0], self.vasp_data.plocar.plo)]
|
||||
self.proj_gr = ProjectorGroup(self.pars.groups[0], self.shells, eigvals)
|
||||
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
# proj_sh.select_projectors(ib_win, nb_min, nb_max)
|
||||
#
|
||||
testout = 'projgroups.out.test'
|
||||
nion, ns, nk, nlm, nbtot = self.proj_gr.shells[0].proj_win.shape
|
||||
with open(testout, 'wt') as f:
|
||||
f.write("pars: %s\n"%(self.pars.groups[0]))
|
||||
for ion in xrange(nion):
|
||||
for isp in xrange(ns):
|
||||
for ik in xrange(nk):
|
||||
ib1 = self.proj_gr.ib_win[ik, 0, 0]
|
||||
ib2 = self.proj_gr.ib_win[ik, 0, 1]
|
||||
f.write("%i %i\n"%(ib1, ib2))
|
||||
ib1w = ib1 - self.proj_gr.nb_min
|
||||
ib2w = ib2 - self.proj_gr.nb_min + 1
|
||||
for ib in xrange(ib1w, ib2w):
|
||||
for ilm in xrange(nlm):
|
||||
p = self.proj_gr.shells[0].proj_win[ion, isp, ik, ilm, ib]
|
||||
f.write("%5i %s\n"%(ilm+1, p))
|
||||
|
||||
# Scenario 2
|
||||
def test_ortho(self):
|
||||
self.proj_gr.orthogonalize()
|
||||
|
||||
testout = 'projortho.out.test'
|
||||
nion, ns, nk, nlm, nbtot = self.proj_gr.shells[0].proj_win.shape
|
||||
with open(testout, 'wt') as f:
|
||||
f.write("pars: %s\n"%(self.pars.groups[0]))
|
||||
for ion in xrange(nion):
|
||||
for isp in xrange(ns):
|
||||
for ik in xrange(nk):
|
||||
ib1 = self.proj_gr.ib_win[ik, 0, 0]
|
||||
ib2 = self.proj_gr.ib_win[ik, 0, 1]
|
||||
f.write("%i %i\n"%(ib1, ib2))
|
||||
ib1w = ib1 - self.proj_gr.nb_min
|
||||
ib2w = ib2 - self.proj_gr.nb_min + 1
|
||||
for ib in xrange(ib1w, ib2w):
|
||||
for ilm in xrange(nlm):
|
||||
p = self.proj_gr.shells[0].proj_win[ion, isp, ik, ilm, ib]
|
||||
f.write("%5i %s\n"%(ilm+1, p))
|
||||
|
||||
expected_file = 'projortho.out'
|
||||
self.assertFileEqual(testout, expected_file)
|
||||
|
@ -1,86 +0,0 @@
|
||||
|
||||
import numpy as np
|
||||
import vaspio
|
||||
import elstruct
|
||||
from inpconf import ConfigParameters
|
||||
from plotools import select_bands, ProjectorShell
|
||||
import mytest
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestProjectorShell
|
||||
#
|
||||
################################################################################
|
||||
class TestProjectorShell(mytest.MyTestCase):
|
||||
"""
|
||||
Class:
|
||||
|
||||
ProjectorShell(sh_pars, proj_raw)
|
||||
|
||||
Scenarios:
|
||||
- compare output for a correct input
|
||||
- test density matrix
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
|
||||
efermi = vasp_data.doscar.efermi
|
||||
eigvals = vasp_data.eigenval.eigs - efermi
|
||||
emin = pars.groups[0]['emin']
|
||||
emax = pars.groups[0]['emax']
|
||||
ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
|
||||
|
||||
proj_sh = ProjectorShell(pars.shells[0], vasp_data.plocar.plo)
|
||||
|
||||
proj_sh.select_projectors(ib_win, nb_min, nb_max)
|
||||
|
||||
testout = 'projshells.out.test'
|
||||
nion, ns, nk, nlm, nbtot = proj_sh.proj_win.shape
|
||||
with open(testout, 'wt') as f:
|
||||
f.write("pars: %s\n"%(pars.shells[0]))
|
||||
for ion in xrange(nion):
|
||||
for isp in xrange(ns):
|
||||
for ik in xrange(nk):
|
||||
ib1 = ib_win[ik, 0, 0]
|
||||
ib2 = ib_win[ik, 0, 1]
|
||||
f.write("%i %i\n"%(ib1, ib2))
|
||||
for ib in xrange(ib2 - nb_min + 1):
|
||||
for ilm in xrange(nlm):
|
||||
p = proj_sh.proj_win[ion, isp, ik, ilm, ib]
|
||||
f.write("%5i %s\n"%(ilm+1, p))
|
||||
|
||||
expected_file = 'projshells.out'
|
||||
self.assertFileEqual(testout, expected_file)
|
||||
|
||||
# Scenario 2
|
||||
def test_dens_mat(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
el_struct = elstruct.ElectronicStructure(vasp_data)
|
||||
|
||||
efermi = el_struct.efermi
|
||||
eigvals = el_struct.eigvals - efermi
|
||||
emin = pars.groups[0]['emin']
|
||||
emax = pars.groups[0]['emax']
|
||||
ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
|
||||
|
||||
proj_sh = ProjectorShell(pars.shells[0], vasp_data.plocar.plo)
|
||||
|
||||
proj_sh.select_projectors(ib_win, nb_min, nb_max)
|
||||
|
||||
dens_mat = proj_sh.density_matrix(el_struct)
|
||||
print dens_mat
|
||||
|
||||
testout = 'densmat.out.test'
|
||||
with open(testout, 'wt') as f:
|
||||
f.write("density matrix: %s\n"%(dens_mat))
|
||||
|
||||
expected_file = 'densmat.out'
|
||||
self.assertFileEqual(testout, expected_file)
|
||||
|
@ -1,73 +0,0 @@
|
||||
|
||||
import numpy as np
|
||||
import vaspio
|
||||
from inpconf import ConfigParameters
|
||||
from plotools import select_bands
|
||||
import mytest
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestSelectBands
|
||||
#
|
||||
################################################################################
|
||||
class TestSelectBands(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def select_bands(eigvals, emin, emax)
|
||||
|
||||
Scenarios:
|
||||
- compare output for a correct input
|
||||
- **if** emin > max(eigvals) **raise** Exception
|
||||
- **if** emax > min(eigvals) **raise** Exception
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
|
||||
efermi = vasp_data.doscar.efermi
|
||||
eigvals = vasp_data.eigenval.eigs - efermi
|
||||
emin = pars.groups[0]['emin']
|
||||
emax = pars.groups[0]['emax']
|
||||
ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
|
||||
|
||||
nb_min_exp = 3
|
||||
nb_max_exp = 8
|
||||
ib_win_exp = np.array([[[3, 8]], [[3, 8]], [[3, 7]], [[3, 7]]])
|
||||
|
||||
self.assertEqual(nb_min, nb_min_exp)
|
||||
self.assertEqual(nb_max, nb_max_exp)
|
||||
self.assertEqual(ib_win, ib_win_exp)
|
||||
|
||||
# Scenario 2
|
||||
def test_emin_too_large(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
|
||||
efermi = vasp_data.doscar.efermi
|
||||
eigvals = vasp_data.eigenval.eigs - efermi
|
||||
emin = 20.0
|
||||
emax = 25.0
|
||||
with self.assertRaisesRegexp(Exception, "Energy window does not overlap"):
|
||||
ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
|
||||
|
||||
# Scenario 3
|
||||
def test_emax_too_small(self):
|
||||
conf_file = 'example.cfg'
|
||||
pars = ConfigParameters(conf_file)
|
||||
pars.parse_input()
|
||||
vasp_data = vaspio.VaspData('./')
|
||||
|
||||
efermi = vasp_data.doscar.efermi
|
||||
eigvals = vasp_data.eigenval.eigs - efermi
|
||||
emin = -50.0
|
||||
emax = -55.0
|
||||
with self.assertRaisesRegexp(Exception, "Energy window does not overlap"):
|
||||
ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
|
||||
|
||||
|
@ -1,2 +0,0 @@
|
||||
*.pyc
|
||||
*.test
|
@ -1,609 +0,0 @@
|
||||
1 1 1 0
|
||||
0.1333597E+02 0.2587511E-09 0.2587511E-09 0.2587511E-09 0.5000000E-15
|
||||
1.000000000000000E-004
|
||||
CAR
|
||||
V
|
||||
17.10090628 -34.14880953 301 5.84395237 1.00000000
|
||||
-34.149 0.0000E+00 0.0000E+00
|
||||
-33.978 0.0000E+00 0.0000E+00
|
||||
-33.807 0.0000E+00 0.0000E+00
|
||||
-33.636 0.0000E+00 0.0000E+00
|
||||
-33.465 0.0000E+00 0.0000E+00
|
||||
-33.295 0.0000E+00 0.0000E+00
|
||||
-33.124 0.0000E+00 0.0000E+00
|
||||
-32.953 0.0000E+00 0.0000E+00
|
||||
-32.782 0.3428E-37 0.5857E-38
|
||||
-32.611 0.1961E-24 0.3349E-25
|
||||
-32.440 0.2784E-14 0.4757E-15
|
||||
-32.270 0.8681E-07 0.1483E-07
|
||||
-32.099 0.3941E-02 0.6732E-03
|
||||
-31.928 -0.2188E+00 -0.3670E-01
|
||||
-31.757 0.8736E+01 0.1456E+01
|
||||
-31.586 0.8403E+01 0.2891E+01
|
||||
-31.415 0.2792E+01 0.3368E+01
|
||||
-31.245 0.6307E+01 0.4445E+01
|
||||
-31.074 0.7856E+01 0.5787E+01
|
||||
-30.903 0.1212E+01 0.5994E+01
|
||||
-30.732 0.3246E-01 0.6000E+01
|
||||
-30.561 0.3448E-04 0.6000E+01
|
||||
-30.390 0.2050E-10 0.6000E+01
|
||||
-30.220 0.0000E+00 0.6000E+01
|
||||
-30.049 0.0000E+00 0.6000E+01
|
||||
-29.878 0.0000E+00 0.6000E+01
|
||||
-29.707 0.0000E+00 0.6000E+01
|
||||
-29.536 0.0000E+00 0.6000E+01
|
||||
-29.366 0.0000E+00 0.6000E+01
|
||||
-29.195 0.0000E+00 0.6000E+01
|
||||
-29.024 0.0000E+00 0.6000E+01
|
||||
-28.853 0.0000E+00 0.6000E+01
|
||||
-28.682 0.0000E+00 0.6000E+01
|
||||
-28.511 0.0000E+00 0.6000E+01
|
||||
-28.341 0.0000E+00 0.6000E+01
|
||||
-28.170 0.0000E+00 0.6000E+01
|
||||
-27.999 0.0000E+00 0.6000E+01
|
||||
-27.828 0.0000E+00 0.6000E+01
|
||||
-27.657 0.0000E+00 0.6000E+01
|
||||
-27.486 0.0000E+00 0.6000E+01
|
||||
-27.316 0.0000E+00 0.6000E+01
|
||||
-27.145 0.0000E+00 0.6000E+01
|
||||
-26.974 0.0000E+00 0.6000E+01
|
||||
-26.803 0.0000E+00 0.6000E+01
|
||||
-26.632 0.0000E+00 0.6000E+01
|
||||
-26.461 0.0000E+00 0.6000E+01
|
||||
-26.291 0.0000E+00 0.6000E+01
|
||||
-26.120 0.0000E+00 0.6000E+01
|
||||
-25.949 0.0000E+00 0.6000E+01
|
||||
-25.778 0.0000E+00 0.6000E+01
|
||||
-25.607 0.0000E+00 0.6000E+01
|
||||
-25.436 0.0000E+00 0.6000E+01
|
||||
-25.266 0.0000E+00 0.6000E+01
|
||||
-25.095 0.0000E+00 0.6000E+01
|
||||
-24.924 0.0000E+00 0.6000E+01
|
||||
-24.753 0.0000E+00 0.6000E+01
|
||||
-24.582 0.0000E+00 0.6000E+01
|
||||
-24.411 0.0000E+00 0.6000E+01
|
||||
-24.241 0.0000E+00 0.6000E+01
|
||||
-24.070 0.0000E+00 0.6000E+01
|
||||
-23.899 0.0000E+00 0.6000E+01
|
||||
-23.728 0.0000E+00 0.6000E+01
|
||||
-23.557 0.0000E+00 0.6000E+01
|
||||
-23.386 0.0000E+00 0.6000E+01
|
||||
-23.216 0.0000E+00 0.6000E+01
|
||||
-23.045 0.0000E+00 0.6000E+01
|
||||
-22.874 0.0000E+00 0.6000E+01
|
||||
-22.703 0.0000E+00 0.6000E+01
|
||||
-22.532 0.0000E+00 0.6000E+01
|
||||
-22.361 0.0000E+00 0.6000E+01
|
||||
-22.191 0.0000E+00 0.6000E+01
|
||||
-22.020 0.0000E+00 0.6000E+01
|
||||
-21.849 0.0000E+00 0.6000E+01
|
||||
-21.678 0.0000E+00 0.6000E+01
|
||||
-21.507 0.0000E+00 0.6000E+01
|
||||
-21.336 0.0000E+00 0.6000E+01
|
||||
-21.166 0.0000E+00 0.6000E+01
|
||||
-20.995 0.0000E+00 0.6000E+01
|
||||
-20.824 0.0000E+00 0.6000E+01
|
||||
-20.653 0.0000E+00 0.6000E+01
|
||||
-20.482 0.0000E+00 0.6000E+01
|
||||
-20.311 0.0000E+00 0.6000E+01
|
||||
-20.141 0.0000E+00 0.6000E+01
|
||||
-19.970 0.0000E+00 0.6000E+01
|
||||
-19.799 0.0000E+00 0.6000E+01
|
||||
-19.628 0.0000E+00 0.6000E+01
|
||||
-19.457 0.0000E+00 0.6000E+01
|
||||
-19.286 0.0000E+00 0.6000E+01
|
||||
-19.116 0.0000E+00 0.6000E+01
|
||||
-18.945 0.0000E+00 0.6000E+01
|
||||
-18.774 0.0000E+00 0.6000E+01
|
||||
-18.603 0.0000E+00 0.6000E+01
|
||||
-18.432 0.0000E+00 0.6000E+01
|
||||
-18.261 0.0000E+00 0.6000E+01
|
||||
-18.091 0.0000E+00 0.6000E+01
|
||||
-17.920 0.0000E+00 0.6000E+01
|
||||
-17.749 0.0000E+00 0.6000E+01
|
||||
-17.578 0.0000E+00 0.6000E+01
|
||||
-17.407 0.0000E+00 0.6000E+01
|
||||
-17.236 0.0000E+00 0.6000E+01
|
||||
-17.066 0.0000E+00 0.6000E+01
|
||||
-16.895 0.0000E+00 0.6000E+01
|
||||
-16.724 0.0000E+00 0.6000E+01
|
||||
-16.553 0.0000E+00 0.6000E+01
|
||||
-16.382 0.0000E+00 0.6000E+01
|
||||
-16.211 0.0000E+00 0.6000E+01
|
||||
-16.041 0.0000E+00 0.6000E+01
|
||||
-15.870 0.0000E+00 0.6000E+01
|
||||
-15.699 0.0000E+00 0.6000E+01
|
||||
-15.528 0.0000E+00 0.6000E+01
|
||||
-15.357 0.0000E+00 0.6000E+01
|
||||
-15.186 0.0000E+00 0.6000E+01
|
||||
-15.016 0.0000E+00 0.6000E+01
|
||||
-14.845 0.0000E+00 0.6000E+01
|
||||
-14.674 0.0000E+00 0.6000E+01
|
||||
-14.503 0.0000E+00 0.6000E+01
|
||||
-14.332 0.0000E+00 0.6000E+01
|
||||
-14.161 0.0000E+00 0.6000E+01
|
||||
-13.991 0.0000E+00 0.6000E+01
|
||||
-13.820 0.0000E+00 0.6000E+01
|
||||
-13.649 0.0000E+00 0.6000E+01
|
||||
-13.478 0.0000E+00 0.6000E+01
|
||||
-13.307 0.0000E+00 0.6000E+01
|
||||
-13.136 0.0000E+00 0.6000E+01
|
||||
-12.966 0.0000E+00 0.6000E+01
|
||||
-12.795 0.0000E+00 0.6000E+01
|
||||
-12.624 0.0000E+00 0.6000E+01
|
||||
-12.453 0.0000E+00 0.6000E+01
|
||||
-12.282 0.0000E+00 0.6000E+01
|
||||
-12.111 0.0000E+00 0.6000E+01
|
||||
-11.941 0.0000E+00 0.6000E+01
|
||||
-11.770 0.0000E+00 0.6000E+01
|
||||
-11.599 0.0000E+00 0.6000E+01
|
||||
-11.428 0.0000E+00 0.6000E+01
|
||||
-11.257 0.0000E+00 0.6000E+01
|
||||
-11.086 0.0000E+00 0.6000E+01
|
||||
-10.916 0.0000E+00 0.6000E+01
|
||||
-10.745 0.0000E+00 0.6000E+01
|
||||
-10.574 0.0000E+00 0.6000E+01
|
||||
-10.403 0.0000E+00 0.6000E+01
|
||||
-10.232 0.0000E+00 0.6000E+01
|
||||
-10.061 0.0000E+00 0.6000E+01
|
||||
-9.891 0.0000E+00 0.6000E+01
|
||||
-9.720 0.0000E+00 0.6000E+01
|
||||
-9.549 0.0000E+00 0.6000E+01
|
||||
-9.378 0.0000E+00 0.6000E+01
|
||||
-9.207 0.0000E+00 0.6000E+01
|
||||
-9.036 0.0000E+00 0.6000E+01
|
||||
-8.866 0.0000E+00 0.6000E+01
|
||||
-8.695 0.0000E+00 0.6000E+01
|
||||
-8.524 0.0000E+00 0.6000E+01
|
||||
-8.353 0.0000E+00 0.6000E+01
|
||||
-8.182 0.0000E+00 0.6000E+01
|
||||
-8.011 0.0000E+00 0.6000E+01
|
||||
-7.841 0.0000E+00 0.6000E+01
|
||||
-7.670 0.0000E+00 0.6000E+01
|
||||
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||||
4 7 8 8 8
|
||||
4 8 8 8 9
|
||||
20 8 8 9 10
|
||||
4 4 5 7 8
|
||||
4 5 7 8 8
|
||||
4 5 5 5 8
|
||||
4 5 8 9 9
|
||||
8 8 9 9 10
|
||||
6 9 9 10 10
|
||||
12 8 9 10 10
|
||||
4 8 8 10 10
|
||||
8 4 8 8 9
|
||||
4 3 4 5 9
|
||||
4 3 4 8 9
|
||||
4 7 8 9 10
|
||||
4 7 8 8 10
|
||||
4 4 7 8 10
|
||||
4 2 4 8 8
|
||||
4 2 7 8 8
|
||||
4 2 4 4 8
|
||||
4 3 3 5 6
|
||||
4 4 5 5 5
|
||||
4 3 5 8 9
|
||||
4 3 8 8 9
|
||||
6 5 5 8 8
|
||||
2 3 3 5 5
|
||||
4 4 5 6 9
|
||||
4 4 8 9 10
|
||||
4 8 10 10 10
|
||||
6 8 8 9 9
|
||||
4 9 10 10 10
|
||||
2 10 10 10 10
|
@ -1,122 +0,0 @@
|
||||
nktot = 10
|
||||
ntet = 107
|
||||
volt = 0.00133333333333
|
||||
kpts:
|
||||
[[ 0. 0. 0. ]
|
||||
[ 0.2 0. 0. ]
|
||||
[ 0.4 0. 0. ]
|
||||
[ 0.2 0.2 0. ]
|
||||
[ 0.4 0.2 -0. ]
|
||||
[ 0.2 0.2 0.2]
|
||||
[-0.2 0.2 0.2]
|
||||
[-0.4 0.4 0.2]
|
||||
[-0.4 -0.4 0.2]
|
||||
[-0.4 0.4 0.4]]
|
||||
tets:
|
||||
[[ 4 1 2 2 4]
|
||||
[12 2 2 4 4]
|
||||
[ 4 2 4 4 6]
|
||||
[ 4 2 3 4 5]
|
||||
[ 4 2 4 4 5]
|
||||
[12 4 4 5 6]
|
||||
[16 3 4 5 5]
|
||||
[28 4 5 5 6]
|
||||
[ 8 4 5 6 6]
|
||||
[ 4 3 3 4 5]
|
||||
[12 3 4 4 5]
|
||||
[ 4 4 4 4 5]
|
||||
[ 4 2 2 3 4]
|
||||
[12 2 3 4 4]
|
||||
[ 8 2 4 4 4]
|
||||
[ 8 2 2 2 4]
|
||||
[12 2 2 4 7]
|
||||
[12 2 4 4 7]
|
||||
[ 8 1 2 2 2]
|
||||
[ 4 2 2 2 2]
|
||||
[ 4 2 2 2 7]
|
||||
[16 5 5 6 6]
|
||||
[12 3 4 5 6]
|
||||
[ 8 3 5 5 6]
|
||||
[ 8 3 4 4 6]
|
||||
[ 4 3 4 6 8]
|
||||
[ 4 3 5 6 8]
|
||||
[ 4 3 4 4 4]
|
||||
[ 4 3 4 4 8]
|
||||
[ 8 4 4 7 8]
|
||||
[ 4 4 4 8 8]
|
||||
[ 4 2 2 3 7]
|
||||
[16 2 3 4 7]
|
||||
[12 3 4 7 8]
|
||||
[ 4 3 4 5 7]
|
||||
[ 4 3 5 7 8]
|
||||
[ 4 3 5 5 5]
|
||||
[12 3 5 5 8]
|
||||
[16 5 5 8 9]
|
||||
[24 3 4 5 8]
|
||||
[ 8 4 5 8 8]
|
||||
[ 4 5 8 8 8]
|
||||
[16 5 8 8 9]
|
||||
[ 4 3 3 4 8]
|
||||
[12 3 5 8 8]
|
||||
[12 3 3 5 8]
|
||||
[ 4 3 4 8 8]
|
||||
[ 8 4 5 5 9]
|
||||
[12 4 5 8 9]
|
||||
[ 4 4 7 8 9]
|
||||
[ 4 2 3 5 8]
|
||||
[ 4 2 4 5 8]
|
||||
[ 8 2 4 7 8]
|
||||
[12 2 3 4 8]
|
||||
[ 4 2 2 4 8]
|
||||
[ 4 2 2 7 8]
|
||||
[ 4 1 2 4 7]
|
||||
[ 8 1 2 2 7]
|
||||
[ 4 2 3 4 6]
|
||||
[ 4 3 5 6 6]
|
||||
[ 8 5 6 6 6]
|
||||
[ 8 5 5 5 6]
|
||||
[ 4 4 4 5 5]
|
||||
[16 4 5 5 8]
|
||||
[ 4 3 4 4 7]
|
||||
[ 4 3 7 8 8]
|
||||
[ 8 4 4 5 8]
|
||||
[ 4 5 5 6 9]
|
||||
[ 4 4 5 6 8]
|
||||
[ 4 5 5 6 8]
|
||||
[ 8 5 8 8 10]
|
||||
[ 8 5 8 9 10]
|
||||
[ 4 4 7 8 8]
|
||||
[ 4 4 8 8 8]
|
||||
[ 8 8 8 8 10]
|
||||
[ 4 7 8 8 8]
|
||||
[ 4 8 8 8 9]
|
||||
[20 8 8 9 10]
|
||||
[ 4 4 5 7 8]
|
||||
[ 4 5 7 8 8]
|
||||
[ 4 5 5 5 8]
|
||||
[ 4 5 8 9 9]
|
||||
[ 8 8 9 9 10]
|
||||
[ 6 9 9 10 10]
|
||||
[12 8 9 10 10]
|
||||
[ 4 8 8 10 10]
|
||||
[ 8 4 8 8 9]
|
||||
[ 4 3 4 5 9]
|
||||
[ 4 3 4 8 9]
|
||||
[ 4 7 8 9 10]
|
||||
[ 4 7 8 8 10]
|
||||
[ 4 4 7 8 10]
|
||||
[ 4 2 4 8 8]
|
||||
[ 4 2 7 8 8]
|
||||
[ 4 2 4 4 8]
|
||||
[ 4 3 3 5 6]
|
||||
[ 4 4 5 5 5]
|
||||
[ 4 3 5 8 9]
|
||||
[ 4 3 8 8 9]
|
||||
[ 6 5 5 8 8]
|
||||
[ 2 3 3 5 5]
|
||||
[ 4 4 5 6 9]
|
||||
[ 4 4 8 9 10]
|
||||
[ 4 8 10 10 10]
|
||||
[ 6 8 8 9 9]
|
||||
[ 4 9 10 10 10]
|
||||
[ 2 10 10 10 10]]
|
@ -1,7 +0,0 @@
|
||||
Automatically generated mesh
|
||||
4
|
||||
Reciprocal lattice
|
||||
0.00000000000000 0.00000000000000 0.00000000000000 1
|
||||
0.33333333333333 0.00000000000000 0.00000000000000 12
|
||||
0.33333333333333 0.33333333333333 0.00000000000000 8
|
||||
-0.33333333333333 0.33333333333333 0.33333333333333 6
|
@ -1,6 +0,0 @@
|
||||
nktot = 4
|
||||
kpts:
|
||||
[[ 0. 0. 0. ]
|
||||
[ 0.33333333 0. 0. ]
|
||||
[ 0.33333333 0.33333333 0. ]
|
||||
[-0.33333333 0.33333333 0.33333333]]
|
@ -1,10 +0,0 @@
|
||||
V SF test
|
||||
2.9878
|
||||
-0.5 0.5 0.5
|
||||
0.5 -0.5 0.5
|
||||
0.5 0.5 -0.5
|
||||
V
|
||||
1
|
||||
Direct
|
||||
0.0 0.0 0.0
|
||||
|
@ -1,10 +0,0 @@
|
||||
nq = 1
|
||||
ntypes = 1
|
||||
nions = [1]
|
||||
el_names = ['V']
|
||||
a_brav:
|
||||
[[-1. 1. 1.]
|
||||
[ 1. -1. 1.]
|
||||
[ 1. 1. -1.]]
|
||||
q_types:
|
||||
[array([[ 0., 0., 0.]])]
|
@ -1,56 +0,0 @@
|
||||
r"""
|
||||
Module defining a custom TestCase with extra functionality.
|
||||
"""
|
||||
|
||||
import unittest
|
||||
import numpy as np
|
||||
import difflib
|
||||
|
||||
class MyTestCase(unittest.TestCase):
|
||||
"""
|
||||
Custom TestCase class supporting additional equality checks:
|
||||
- numpy array equality
|
||||
- file equality
|
||||
"""
|
||||
def __init__(self, *args, **kwargs):
|
||||
"""
|
||||
Initializes a custom equality function for comparing numpy arrays.
|
||||
"""
|
||||
super(MyTestCase, self).__init__(*args, **kwargs)
|
||||
self.addTypeEqualityFunc(np.ndarray, self.is_arrays_equal)
|
||||
|
||||
def is_arrays_equal(self, arr1, arr2, msg=None):
|
||||
"""
|
||||
Raises self.failureException is arrays arr1 and arr2
|
||||
are not equal.
|
||||
"""
|
||||
if not np.allclose(arr1, arr2):
|
||||
raise self.failureException(msg)
|
||||
|
||||
def assertFileEqual(self, file1, file2):
|
||||
"""
|
||||
Compares two files using difflib.
|
||||
Empty lines are ignored.
|
||||
Files are assumed to be relatively small;
|
||||
the data is truncated for files larger than MAX_SIZE bytes.
|
||||
"""
|
||||
MAX_SIZE = 100000
|
||||
with open(file1, 'r') as f1:
|
||||
str1 = f1.read(MAX_SIZE)
|
||||
with open(file2, 'r') as f2:
|
||||
str2 = f2.read(MAX_SIZE)
|
||||
#
|
||||
# Make a diff
|
||||
#
|
||||
# Remove empty lines
|
||||
lstr1 = filter(lambda s: s.strip() != '', str1.splitlines(True))
|
||||
lstr2 = filter(lambda s: s.strip() != '', str2.splitlines(True))
|
||||
# diff
|
||||
delta = difflib.unified_diff(lstr1, lstr2)
|
||||
# combine delta's to a string
|
||||
diff = ''.join(delta)
|
||||
# if 'diff' is non-empty, files are different
|
||||
if diff:
|
||||
return self.fail("Files '%s' and '%s' differ"%(file1, file2))
|
||||
|
||||
|
@ -1 +0,0 @@
|
||||
PYTHONPATH=../../python:../../c:$PYTHONPATH python $1
|
@ -1,32 +0,0 @@
|
||||
r"""
|
||||
Tests for class 'Doscar' from module 'vaspio'
|
||||
"""
|
||||
import mytest
|
||||
import numpy as np
|
||||
from vaspio import Doscar
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestDoscar
|
||||
#
|
||||
################################################################################
|
||||
class TestDoscar(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def Doscar.from_file(vasp_dir, dos_filename)
|
||||
|
||||
Scenarios:
|
||||
- correct DOSCAR file
|
||||
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
filename = 'DOSCAR.example'
|
||||
doscar = Doscar()
|
||||
doscar.from_file(vasp_dir='./', dos_filename=filename)
|
||||
|
||||
test_efermi = doscar.efermi
|
||||
expected = 5.84395237
|
||||
self.assertAlmostEqual(test_efermi, expected)
|
||||
|
@ -1,45 +0,0 @@
|
||||
r"""
|
||||
Tests for class 'Eigneval' from module 'vaspio'
|
||||
"""
|
||||
import mytest
|
||||
import numpy as np
|
||||
from vaspio import Eigenval
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestEigenval
|
||||
#
|
||||
################################################################################
|
||||
class TestEigenval(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def Eigenval.from_file(vasp_dir, eig_filename)
|
||||
|
||||
Scenarios:
|
||||
- correct EIGENVAL file
|
||||
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
filename = 'EIGENVAL.example'
|
||||
eigenval = Eigenval()
|
||||
eigenval.from_file(vasp_dir='./', eig_filename=filename)
|
||||
|
||||
testout = 'EIGENVAL.example.out.test'
|
||||
with open(testout, 'w') as f:
|
||||
writeline = lambda s: f.write(s + '\n')
|
||||
writeprop = lambda pname: writeline("%s = %s"%(pname, eigenval.__dict__[pname]))
|
||||
|
||||
writeprop('nq')
|
||||
writeprop('ispin')
|
||||
writeprop('nelect')
|
||||
writeprop('nktot')
|
||||
writeprop('nband')
|
||||
writeline("kpts:\n%s"%(eigenval.kpts))
|
||||
writeline("kwghts:\n%s"%(eigenval.kwghts))
|
||||
writeline("eigs:\n%s"%(eigenval.eigs))
|
||||
|
||||
expected = 'EIGENVAL.example.out'
|
||||
self.assertFileEqual(testout, expected)
|
||||
|
@ -1,57 +0,0 @@
|
||||
r"""
|
||||
Tests for class 'Ibzkpt' from module 'vaspio'
|
||||
"""
|
||||
import mytest
|
||||
import numpy as np
|
||||
from vaspio import Kpoints
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestIbzkpt
|
||||
#
|
||||
################################################################################
|
||||
class TestIbzkpt(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def read_plocar(filename)
|
||||
|
||||
Scenarios:
|
||||
- full IBZKPT file with tetrahedra
|
||||
- partial IBZKPT file with k-points only
|
||||
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
ibz_file = 'IBZKPT.example'
|
||||
kpoints = Kpoints()
|
||||
kpoints.from_file(vasp_dir='./', ibz_filename=ibz_file)
|
||||
|
||||
testout = 'IBZKPT.example.out.test'
|
||||
with open(testout, 'w') as f:
|
||||
writeline = lambda s: f.write(s + '\n')
|
||||
writeline("nktot = %s"%(kpoints.nktot))
|
||||
writeline("ntet = %s"%(kpoints.ntet))
|
||||
writeline("volt = %s"%(kpoints.volt))
|
||||
writeline("kpts:\n%s"%(kpoints.kpts))
|
||||
writeline("tets:\n%s"%(kpoints.itet))
|
||||
|
||||
expected = 'IBZKPT.example.out'
|
||||
self.assertFileEqual(testout, expected)
|
||||
|
||||
# Scenario 2
|
||||
def test_notet(self):
|
||||
ibz_file = 'IBZKPT.notet'
|
||||
kpoints = Kpoints()
|
||||
kpoints.from_file(vasp_dir='./', ibz_filename=ibz_file)
|
||||
|
||||
testout = 'IBZKPT.notet.out.test'
|
||||
with open(testout, 'w') as f:
|
||||
writeline = lambda s: f.write(s + '\n')
|
||||
writeline("nktot = %s"%(kpoints.nktot))
|
||||
writeline("kpts:\n%s"%(kpoints.kpts))
|
||||
|
||||
expected = 'IBZKPT.notet.out'
|
||||
self.assertFileEqual(testout, expected)
|
||||
|
||||
|
@ -1,43 +0,0 @@
|
||||
r"""
|
||||
Tests for class 'Poscar' from module 'vaspio'
|
||||
"""
|
||||
import mytest
|
||||
import numpy as np
|
||||
from vaspio import Poscar
|
||||
|
||||
################################################################################
|
||||
#
|
||||
# TestPoscar
|
||||
#
|
||||
################################################################################
|
||||
class TestPoscar(mytest.MyTestCase):
|
||||
"""
|
||||
Function:
|
||||
|
||||
def Poscar.from_file(vasp_dir, poscar_filename)
|
||||
|
||||
Scenarios:
|
||||
- correct POSCAR file
|
||||
|
||||
"""
|
||||
# Scenario 1
|
||||
def test_example(self):
|
||||
filename = 'POSCAR.example'
|
||||
poscar = Poscar()
|
||||
poscar.from_file(vasp_dir='./', poscar_filename=filename)
|
||||
|
||||
testout = 'POSCAR.example.out.test'
|
||||
with open(testout, 'w') as f:
|
||||
writeline = lambda s: f.write(s + '\n')
|
||||
writeprop = lambda pname: writeline("%s = %s"%(pname, poscar.__dict__[pname]))
|
||||
|
||||
writeprop('nq')
|
||||
writeprop('ntypes')
|
||||
writeprop('nions')
|
||||
writeprop('el_names')
|
||||
writeline("a_brav:\n%s"%(poscar.a_brav))
|
||||
writeline("q_types:\n%s"%(poscar.q_types))
|
||||
|
||||
expected = 'POSCAR.example.out'
|
||||
self.assertFileEqual(testout, expected)
|
||||
|
@ -1,11 +0,0 @@
|
||||
|
||||
r"""
|
||||
Test suite for module `vaspio`.
|
||||
"""
|
||||
import unittest
|
||||
|
||||
if __name__ == '__main__':
|
||||
suite = unittest.TestLoader().discover('./')
|
||||
unittest.TextTestRunner(verbosity=2, buffer=True).run(suite)
|
||||
# unittest.TextTestRunner(verbosity=2, buffer=False).run(suite)
|
||||
|
Loading…
Reference in New Issue
Block a user