Whitespace (W292,W293,W391) tidy.

这个提交包含在:
Craig Warren
2016-07-21 16:08:39 +01:00
父节点 cd823901d6
当前提交 e378bd66f9
共有 19 个文件被更改,包括 275 次插入317 次删除

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@@ -23,32 +23,32 @@ from gprMax.constants import e0, m0, complextype
class Material(object):
"""Materials, their properties and update coefficients."""
# Maximum number of dispersive material poles in a model
maxpoles = 0
# Types of material
types = ['standard', 'debye', 'lorentz', 'drude']
# Properties of water from: http://dx.doi.org/10.1109/TGRS.2006.873208
waterer = 80.1
watereri = 4.9
waterdeltaer = waterer - watereri
watertau = 9.231e-12
# Properties of grass from: http://dx.doi.org/10.1007/BF00902994
grasser = 18.5087
grasseri = 12.7174
grassdeltaer = grasser - grasseri
grasstau = 1.0793e-11
def __init__(self, numID, ID):
"""
Args:
numID (int): Numeric identifier of the material.
ID (str): Name of the material.
"""
self.numID = numID
self.ID = ID
self.type = 'standard'
@@ -60,20 +60,20 @@ class Material(object):
self.se = 0.0
self.mr = 1.0
self.sm = 0.0
# Parameters for dispersive materials
self.poles = 0
self.deltaer = []
self.tau = []
self.alpha = []
def calculate_update_coeffsH(self, G):
"""Calculates the magnetic update coefficients of the material.
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
HA = (m0*self.mr / G.dt) + 0.5*self.sm
HB = (m0*self.mr / G.dt) - 0.5*self.sm
self.DA = HB / HA
@@ -89,7 +89,7 @@ class Material(object):
Args:
G (class): Grid class instance - holds essential parameters describing the model.
"""
# The implementation of the dispersive material modelling comes from the derivation in: http://dx.doi.org/10.1109/TAP.2014.2308549
if self.maxpoles > 0:
self.w = np.zeros(self.maxpoles, dtype=complextype)
@@ -98,7 +98,7 @@ class Material(object):
self.zt2 = np.zeros(self.maxpoles, dtype=complextype)
self.eqt = np.zeros(self.maxpoles, dtype=complextype)
self.eqt2 = np.zeros(self.maxpoles, dtype=complextype)
for x in range(self.poles):
if self.type == 'debye':
self.w[x] = self.deltaer[x] / self.tau[x]
@@ -116,7 +116,7 @@ class Material(object):
self.se += wp2 / self.alpha[x]
self.w[x] = - (wp2 / self.alpha[x])
self.q[x] = - self.alpha[x]
self.eqt[x] = np.exp(self.q[x] * G.dt)
self.eqt2[x] = np.exp(self.q[x] * (G.dt / 2))
self.zt[x] = (self.w[x] / self.q[x]) * (1 - self.eqt[x]) / G.dt
@@ -124,7 +124,7 @@ class Material(object):
EA = (e0*self.er / G.dt) + 0.5*self.se - (e0 / G.dt) * np.sum(self.zt2.real)
EB = (e0*self.er / G.dt) - 0.5*self.se - (e0 / G.dt) * np.sum(self.zt2.real)
else:
EA = (e0*self.er / G.dt) + 0.5*self.se
EB = (e0*self.er / G.dt) - 0.5*self.se
@@ -145,7 +145,7 @@ class Material(object):
class PeplinskiSoil(object):
"""Soil objects that are characterised according to a mixing model by Peplinski (http://dx.doi.org/10.1109/36.387598)."""
def __init__(self, ID, sandfraction, clayfraction, bulkdensity, sandpartdensity, watervolfraction):
"""
Args:
@@ -156,7 +156,7 @@ class PeplinskiSoil(object):
sandpartdensity (float): Density of the sand particles in the soil (g/cm3).
watervolfraction (float): Two numbers that specify a range for the volumetric water fraction of the soil.
"""
self.ID = ID
self.S = sandfraction
self.C = clayfraction
@@ -172,23 +172,23 @@ class PeplinskiSoil(object):
nbins (int): Number of bins to use to create the different materials.
G (class): Grid class instance - holds essential parameters describing the model.
"""
# Debye model properties of water
f = 1.3e9
w = 2 * np.pi * f
erealw = Material.watereri + ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
eimagw = w * Material.watertau * ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
a = 0.65 # Experimentally derived constant
es = (1.01 + 0.44 * self.rs)**2 - 0.062
b1 = 1.2748 - 0.519 * self.S - 0.152 * self.C
b2 = 1.33797 - 0.603 * self.S - 0.166 * self.C
# For frequencies in the range 0.3GHz to 1.3GHz
sigf1 = 0.0467 + 0.2204 * self.rb - 0.411 * self.S + 0.6614 * self.C
# For frequencies in the range 1.4GHz to 18GHz
sigf2 = -1.645 + 1.939 * self.rb - 2.25622 * self.S + 1.594 * self.C
# Generate a set of bins based on the given volumetric water fraction values
mubins = np.linspace(self.mu[0], self.mu[1], nbins + 1)
# Generate a range of volumetric water fraction values the mid-point of each bin to make materials from
@@ -201,13 +201,13 @@ class PeplinskiSoil(object):
er1 = (1 + (self.rb/self.rs) * ((es**a) - 1) + (muiter[0]**b1 * erealw**a) - muiter[0]) ** (1/a)
# Real part for frequencies in the range 0.3GHz to 1.3GHz
er2 = 1.15 * er1 - 0.68
# Imaginary part for frequencies in the range 0.3GHz to 1.3GHz
eri = er2 - (muiter[0]**(b2/a) * Material.waterdeltaer)
# Effective conductivity
sig = muiter[0]**(b2/a) * ((sigf1 * (self.rs - self.rb)) / (self.rs * muiter[0]))
# Check to see if the material already exists before creating a new one
requiredID = '|{:.4f}|'.format(float(muiter[0]))
material = next((x for x in G.materials if x.ID == requiredID), None)
@@ -224,16 +224,5 @@ class PeplinskiSoil(object):
m.deltaer.append(er2 - m.er)
m.tau.append(Material.watertau)
G.materials.append(m)
muiter.iternext()