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fixing LGTM alerts
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@MatthewReid854
MatthewReid854 committed Apr 29, 2022
1 parent ac812ba commit 5c481b0
Showing 1 changed file with 19 additions and 19 deletions.
38 changes: 19 additions & 19 deletions reliability/Distributions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -390,8 +390,8 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
be based on the distribution's parameters.
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self=self, func="PDF", xvals=xvals, xmin=xmin, xmax=xmax, show_plot=show_plot
)
self, "PDF", xvals, xmin, xmax, show_plot
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.weibull_min.pdf(X, self.beta, scale=self.alpha, loc=self.gamma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -733,7 +733,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):

X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = (self.beta / self.alpha) * ((X - self.gamma) / self.alpha) ** (
self.beta - 1
Expand Down Expand Up @@ -1350,7 +1350,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.norm.pdf(X, self.mu, self.sigma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -1653,7 +1653,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = ss.norm.pdf(X, self.mu, self.sigma) / ss.norm.sf(X, self.mu, self.sigma)
hf = unpack_single_arrays(hf)
Expand Down Expand Up @@ -2261,7 +2261,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.lognorm.pdf(X, self.sigma, self.gamma, np.exp(self.mu))
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -2566,7 +2566,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = ss.lognorm.pdf(X, self.sigma, self.gamma, np.exp(self.mu)) / ss.lognorm.sf(
X, self.sigma, self.gamma, np.exp(self.mu)
Expand Down Expand Up @@ -3171,7 +3171,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.expon.pdf(X, scale=1 / self.Lambda, loc=self.gamma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -3482,7 +3482,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = np.ones_like(X) * self.Lambda
hf = zeroise_below_gamma(X=X, Y=hf, gamma=self.gamma)
Expand Down Expand Up @@ -4124,7 +4124,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.gamma.pdf(X, self.beta, scale=self.alpha, loc=self.gamma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -4428,7 +4428,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = ss.gamma.pdf(X, self.beta, scale=self.alpha, loc=self.gamma) / ss.gamma.sf(
X, self.beta, scale=self.alpha, loc=self.gamma
Expand Down Expand Up @@ -5005,7 +5005,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.beta.pdf(X, self.alpha, self.beta, 0, 1)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -5139,7 +5139,7 @@ def SF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "SF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

sf = ss.beta.sf(X, self.alpha, self.beta, 0, 1)
sf = unpack_single_arrays(sf)
Expand Down Expand Up @@ -5203,7 +5203,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = ss.beta.pdf(X, self.alpha, self.beta, 0, 1) / ss.beta.sf(
X, self.alpha, self.beta, 0, 1
Expand Down Expand Up @@ -5269,7 +5269,7 @@ def CHF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "CHF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

chf = -np.log(ss.beta.sf(X, self.alpha, self.beta, 0, 1))
chf = unpack_single_arrays(chf)
Expand Down Expand Up @@ -5840,7 +5840,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):

X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.fisk.pdf(X, self.beta, scale=self.alpha, loc=self.gamma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -6147,7 +6147,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):

X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = (self.beta / self.alpha) * ((X - self.gamma) / self.alpha) ** (
self.beta - 1
Expand Down Expand Up @@ -6751,7 +6751,7 @@ def PDF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "PDF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

pdf = ss.gumbel_l.pdf(X, self.mu, self.sigma)
pdf = unpack_single_arrays(pdf)
Expand Down Expand Up @@ -7054,7 +7054,7 @@ def HF(self, xvals=None, xmin=None, xmax=None, show_plot=True, **kwargs):
"""
X, xvals, xmin, xmax, show_plot = distributions_input_checking(
self, "HF", xvals, xmin, xmax, show_plot
)
) # lgtm [py/mismatched-multiple-assignment]

hf = np.exp((X - self.mu) / self.sigma) / self.sigma
hf = unpack_single_arrays(hf)
Expand Down

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