fixed minor typo in docs

This commit is contained in:
Jonathan 2022-02-10 00:20:58 +00:00
parent f8488e59e8
commit 04b5f4bc97
16 changed files with 45 additions and 45 deletions

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@ -193,7 +193,7 @@ class Cell(IDManagerMixin):
def atoms(self):
if self._atoms is None:
if self._volume is None:
msg = ('Cannot calculate atom content becouse no volume '
msg = ('Cannot calculate atom content because no volume '
'is set. Use Cell.volume to provide it or perform '
'a stochastic volume calculation.')
raise ValueError(msg)
@ -350,7 +350,7 @@ class Cell(IDManagerMixin):
self._volume = volume
# Info about atom content can now be invalid
# (sice volume has just changed)
# (since volume has just changed)
self._atoms = None
def add_volume_information(self, volume_calc):

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@ -262,7 +262,7 @@ class CMFDRun:
Attributes
----------
tally_begin : int
Batch number at which CMFD tallies should begin accummulating
Batch number at which CMFD tallies should begin accumulating
solver_begin: int
Batch number at which CMFD solver should start executing
ref_d : list of floats
@ -271,13 +271,13 @@ class CMFDRun:
Dictionary indicating which CMFD results to output. Note that CMFD
k-effective will always be outputted. Acceptable keys are:
* "balance" - Whether to output RMS [%] of the resdiual from the
* "balance" - Whether to output RMS [%] of the residual from the
neutron balance equation on CMFD tallies (bool)
* "dominance" - Whether to output the estimated dominance ratio from
the CMFD iterations (bool)
* "entropy" - Whether to output the *entropy* of the CMFD predicted
fission source (bool)
* "source" - Whether to ouput the RMS [%] between the OpenMC fission
* "source" - Whether to output the RMS [%] between the OpenMC fission
source and CMFD fission source (bool)
downscatter : bool
@ -315,7 +315,7 @@ class CMFDRun:
adjoint_type : {'physical', 'math'}
Stores type of adjoint calculation that should be performed.
``run_adjoint`` must be true for an adjoint calculation to be
perfomed. Options are:
performed. Options are:
* "physical" - Create adjoint matrices from physical parameters of
CMFD problem
@ -887,7 +887,7 @@ class CMFDRun:
information.
"""
# Finalize simuation
# Finalize simulation
openmc.lib.simulation_finalize()
if openmc.lib.master():
@ -1431,7 +1431,7 @@ class CMFDRun:
nx, ny, nz, ng = self._indices
n = self._mat_dim
# Compute cmfd_src in a vecotorized manner by phi to the spatial
# Compute cmfd_src in a vectorized manner by phi to the spatial
# indices of the actual problem so that cmfd_flux can be multiplied by
# nfissxs

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@ -54,8 +54,8 @@ class Element(str):
percent_type : {'ao', 'wo'}
'ao' for atom percent and 'wo' for weight percent
enrichment : float, optional
Enrichment of an enrichment_taget nuclide in percent (ao or wo).
If enrichment_taget is not supplied then it is enrichment for U235
Enrichment of an enrichment_target nuclide in percent (ao or wo).
If enrichment_target is not supplied then it is enrichment for U235
in weight percent. For example, input 4.95 for 4.95 weight percent
enriched U. Default is None (natural composition).
enrichment_target: str, optional
@ -149,7 +149,7 @@ class Element(str):
mutual_nuclides = sorted(list(mutual_nuclides))
absent_nuclides = sorted(list(absent_nuclides))
# If all naturally ocurring isotopes are present in the library,
# If all naturally occurring isotopes are present in the library,
# add them based on their abundance
if len(absent_nuclides) == 0:
for nuclide in mutual_nuclides:
@ -277,7 +277,7 @@ class Element(str):
tail_fraction = 1.0 - enrichment / 100.0
# Enrich all nuclides
# Do bogus operation for enrichment target but overwrite immediatly
# Do bogus operation for enrichment target but overwrite immediately
# to avoid if statement in the loop
for nuclide, fraction in abundances.items():
abundances[nuclide] = tail_fraction * fraction / non_enriched

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@ -89,7 +89,7 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
----------
bins : Integral or Iterable of Integral or Iterable of Real
The bins for the filter. This takes on different meaning for different
filters. See the docstrings for sublcasses of this filter or the online
filters. See the docstrings for subclasses of this filter or the online
documentation for more details.
filter_id : int
Unique identifier for the filter
@ -177,7 +177,7 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
filter_id = int(group.name.split('/')[-1].lstrip('filter '))
# If the HDF5 'type' variable matches this class's short_name, then
# there is no overriden from_hdf5 method. Pass the bins to __init__.
# there is no overridden from_hdf5 method. Pass the bins to __init__.
if group['type'][()].decode() == cls.short_name.lower():
out = cls(group['bins'][()], filter_id=filter_id)
out._num_bins = group['n_bins'][()]
@ -254,7 +254,7 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
filter_type = elem.get('type')
# If the filter type matches this class's short_name, then
# there is no overriden from_xml_element method
# there is no overridden from_xml_element method
if filter_type == cls.short_name.lower():
# Get bins from element -- the default here works for any filters
# that just store a list of bins that can be represented as integers
@ -438,7 +438,7 @@ class WithIDFilter(Filter):
class UniverseFilter(WithIDFilter):
"""Bins tally event locations based on the Universe they occured in.
"""Bins tally event locations based on the Universe they occurred in.
Parameters
----------
@ -462,7 +462,7 @@ class UniverseFilter(WithIDFilter):
class MaterialFilter(WithIDFilter):
"""Bins tally event locations based on the Material they occured in.
"""Bins tally event locations based on the Material they occurred in.
Parameters
----------
@ -486,7 +486,7 @@ class MaterialFilter(WithIDFilter):
class CellFilter(WithIDFilter):
"""Bins tally event locations based on the Cell they occured in.
"""Bins tally event locations based on the Cell they occurred in.
Parameters
----------
@ -1945,7 +1945,7 @@ class EnergyFunctionFilter(Filter):
raise ValueError('Only Tabulated1Ds with a single interpolation '
'region are supported')
if tab1d.interpolation[0] != 2:
raise ValueError('Only linear-linar Tabulated1Ds are supported')
raise ValueError('Only linear-linear Tabulated1Ds are supported')
return cls(tab1d.x, tab1d.y)

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@ -106,7 +106,7 @@ class Lattice(IDManagerMixin, ABC):
elif lattice_type == 'hexagonal':
return openmc.HexLattice.from_hdf5(group, universes)
else:
raise ValueError(f'Unkown lattice type: {lattice_type}')
raise ValueError(f'Unknown lattice type: {lattice_type}')
def get_unique_universes(self):
"""Determine all unique universes in the lattice
@ -1215,7 +1215,7 @@ class HexLattice(Lattice):
for rings in self._universes:
if len(rings) != self._num_rings:
msg = 'HexLattice ID={0:d} has an inconsistent number of ' \
'rings per axial positon'.format(self._id)
'rings per axial position'.format(self._id)
raise ValueError(msg)
else:

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@ -443,7 +443,7 @@ class Material(IDManagerMixin):
# Generally speaking, the density for a macroscopic object will
# be 1.0. Therefore, lets set density to 1.0 so that the user
# doesnt need to set it unless its needed.
# doesn't need to set it unless its needed.
# Of course, if the user has already set a value of density,
# then we will not override it.
if self._density is None:
@ -482,8 +482,8 @@ class Material(IDManagerMixin):
'ao' for atom percent and 'wo' for weight percent. Defaults to atom
percent.
enrichment : float, optional
Enrichment of an enrichment_taget nuclide in percent (ao or wo).
If enrichment_taget is not supplied then it is enrichment for U235
Enrichment of an enrichment_target nuclide in percent (ao or wo).
If enrichment_target is not supplied then it is enrichment for U235
in weight percent. For example, input 4.95 for 4.95 weight percent
enriched U.
Default is None (natural composition).
@ -625,7 +625,7 @@ class Material(IDManagerMixin):
raise ValueError(msg)
elif token not in ['(', ')', ''] and not token.isdigit():
msg = 'Formula must be made from a sequence of ' \
'element symbols, integers, and backets. ' \
'element symbols, integers, and brackets. ' \
'{} is not an allowable entry.'.format(token)
raise ValueError(msg)

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@ -144,7 +144,7 @@ class RegularMesh(MeshBase):
The lower-left corner of the structured mesh. If only two coordinate
are given, it is assumed that the mesh is an x-y mesh.
upper_right : Iterable of float
The upper-right corner of the structrued mesh. If only two coordinate
The upper-right corner of the structured mesh. If only two coordinate
are given, it is assumed that the mesh is an x-y mesh.
width : Iterable of float
The width of mesh cells in each direction.

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@ -477,7 +477,7 @@ class XSdata:
def add_temperature(self, temperature):
"""This method re-sizes the attributes of this XSdata object so that it
can accomodate an additional temperature. Note that the set_* methods
can accommodate an additional temperature. Note that the set_* methods
will still need to be executed.
Parameters

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@ -220,7 +220,7 @@ class Plot(IDManagerMixin):
mask_background : Iterable of int or str
Color to apply to all cells/materials not listed in mask_components
show_overlaps : bool
Inidicate whether or not overlapping regions are shown
Indicate whether or not overlapping regions are shown
overlap_color : Iterable of int or str
Color to apply to overlapping regions
colors : dict
@ -565,9 +565,9 @@ class Plot(IDManagerMixin):
seed : int
The random number seed used to generate the color scheme
alpha : float
The value between 0 and 1 to apply in alpha compisiting
The value between 0 and 1 to apply in alpha compositing
background : 3-tuple of int or str
The background color to apply in alpha compisiting
The background color to apply in alpha compositing
"""
@ -883,9 +883,9 @@ class Plots(cv.CheckedList):
seed : int
The random number seed used to generate the color scheme
alpha : float
The value between 0 and 1 to apply in alpha compisiting
The value between 0 and 1 to apply in alpha compositing
background : 3-tuple of int or str
The background color to apply in alpha compisiting
The background color to apply in alpha compositing
"""

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@ -882,7 +882,7 @@ def _calculate_mgxs_elem_mat(this, types, library, orders=None,
else:
T = temperature
# Check to see if we have nuclides/elements or a macrocopic object
# Check to see if we have nuclides/elements or a macroscopic object
if this._macroscopic is not None:
# We have macroscopics
nuclides = {this._macroscopic: (this._macroscopic, this.density)}

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@ -59,7 +59,7 @@ class ZernikeRadial(Polynomial):
Domain of Zernike polynomials to be applied on. Default is 1.
norm_coef : iterable of float
The list of coefficients of each term in the polynomials after
normailization.
normalization.
"""
def __init__(self, coef, radius=1):
@ -106,7 +106,7 @@ class Zernike(Polynomial):
Azimuthal of Zernike polynomial to be applied on. Default is 0.
norm_coef : iterable of float
The list of coefficients of each term in the polynomials after
normailization.
normalization.
"""
def __init__(self, coef, radius=1):
super().__init__(coef)

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@ -87,7 +87,7 @@ class Region(ABC):
operators are union '|', intersection ' ', and complement '~'. For
example, '(1 -2) | 3 ~(4 -5)'.
surfaces : dict
Dictionary whose keys are suface IDs that appear in the Boolean
Dictionary whose keys are surface IDs that appear in the Boolean
expression and whose values are Surface objects.
"""
@ -104,7 +104,7 @@ class Region(ABC):
while i < len(expression):
if expression[i] in '()|~ ':
# If special character appears immediately after a non-operator,
# create a token with the apporpriate half-space
# create a token with the appropriate half-space
if i_start >= 0:
j = int(expression[i_start:i])
if j < 0:

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@ -194,7 +194,7 @@ class Settings:
batches specified via ``batches`` is interpreted as the minimum number
of batches
ufs_mesh : openmc.RegularMesh
Mesh to be used for redistributing source sites via the uniform fision
Mesh to be used for redistributing source sites via the uniform fission
site (UFS) method.
verbosity : int
Verbosity during simulation between 1 and 10. Verbosity levels are

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@ -255,7 +255,7 @@ class Surface(IDManagerMixin, ABC):
if memo is None:
memo = {}
# If no nemoize'd clone exists, instantiate one
# If no memoize'd clone exists, instantiate one
if self not in memo:
clone = deepcopy(self)
clone.id = None
@ -1053,7 +1053,7 @@ class QuadricMixin:
pivot = np.asarray(pivot)
rotation = np.asarray(rotation, dtype=float)
# Allow rotaiton matrix to be passed in directly, otherwise build it
# Allow rotation matrix to be passed in directly, otherwise build it
if rotation.ndim == 2:
check_length('surface rotation', rotation.ravel(), 9)
Rmat = rotation
@ -1746,7 +1746,7 @@ class Cone(QuadricMixin, Surface):
#
# (d*(r - p))^2 - (r - p)*(r - p)cos^2(theta) = 0
#
# where * is the dot product and the vector r is the evaulation point
# where * is the dot product and the vector r is the evaluation point
# r = (x, y, z)
#
# The argument r2 for cones is actually tan^2(theta) so that

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@ -2977,7 +2977,7 @@ class Tally(IDManagerMixin):
Returns
-------
openmc.Tally
A new derived Tally with data diagaonalized along the new filter.
A new derived Tally with data diagonalized along the new filter.
"""

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@ -56,7 +56,7 @@ class VolumeCalculation:
volumes : dict
Dictionary mapping unique IDs of domains to estimated volumes in cm^3.
threshold : float
Threshold for the maxmimum standard deviation of volumes.
Threshold for the maximum standard deviation of volumes.
.. versionadded:: 0.12
trigger_type : {'variance', 'std_dev', 'rel_err'}
@ -228,14 +228,14 @@ class VolumeCalculation:
self._atoms = atoms
def set_trigger(self, threshold, trigger_type):
"""Set a trigger on the voulme calculation
"""Set a trigger on the volume calculation
.. versionadded:: 0.12
Parameters
----------
threshold : float
Threshold for the maxmimum standard deviation of volumes
Threshold for the maximum standard deviation of volumes
trigger_type : {'variance', 'std_dev', 'rel_err'}
Value type used to halt volume calculation
"""