IsaacShoebottom/casio-calculator
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Fix man functions

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This commit is contained in:
Isaac Shoebottom 2024-02-17 19:33:16 -04:00
parent e69cb47c62
commit 43efbd1a8a
5 changed files with 39 additions and 13 deletions
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2
.idea/Calculator.iml → .idea/casio-calculator.iml
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@ -2,7 +2,7 @@
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="jdk" jdkName="Pipenv (Calculator)" jdkType="Python SDK" />
<orderEntry type="jdk" jdkName="Pipenv (casio-calculator)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

2
.idea/misc.xml
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@ -7,5 +7,5 @@
<option name="show" value="ASK" />
<option name="description" value="" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Pipenv (Calculator)" project-jdk-type="Python SDK" />
<component name="ProjectRootManager" version="2" project-jdk-name="Pipenv (casio-calculator)" project-jdk-type="Python SDK" />
</project>

31
distribution.py
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@ -1,5 +1,4 @@
import math
from utils import *
def bnd(x, n, p):
@ -251,4 +250,32 @@ def pd_from(x, l):
return 1 - pd_upto(x - 1, l)
man(man)
def man():
print("This module contains functions for computing the total probability of events.")
print("The functions are:")
print("bnd(x, n, p) - The binomial distribution")
print("bnd_mean(n, p) - The mean of the binomial distribution")
print("bnd_var(n, p) - The variance of the binomial distribution")
print("bnd_std(n, p) - The standard deviation of the binomial distribution")
print("bnd_upto(x, n, p) - The cumulative probability of getting upto x successes in n trials")
print("bnd_from(x, n, p) - The cumulative probability of getting from x successes in n trials")
print("gd(x, p, q) - The geometric distribution")
print("gd_mean(p) - The mean of the geometric distribution")
print("gd_var(p) - The variance of the geometric distribution")
print("gd_std(p) - The standard deviation of the geometric distribution")
print("gd_upto(x, p) - The cumulative probability of getting upto x trials until the first success")
print("gd_from(x, p) - The cumulative probability of getting from x trials until the first success")
print("hgd(x, N, n, k) - The hyper geometric distribution")
print("hgd_mean(N, n, k) - The mean of the hyper geometric distribution")
print("hgd_var(N, n, k) - The variance of the hyper geometric distribution")
print("hgd_std(N, n, k) - The standard deviation of the hyper geometric distribution")
print(
"hgd_upto(x, N, n, k) - The cumulative probability of getting upto x successes in n draws from a population of size N with k successes")
print(
"hgd_from(x, N, n, k) - The cumulative probability of getting from x successes in n draws from a population of size N with k successes")
print("pd(x, l) - The poisson distribution")
print("pd_mean(l) - The mean of the poisson distribution")
print("pd_var(l) - The variance of the poisson distribution")
print("pd_std(l) - The standard deviation of the poisson distribution")
print("pd_upto(x, l) - The cumulative probability of getting upto x occurrences")
print("pd_from(x, l) - The cumulative probability of getting from x occurrences")

11
law_total_probability.py
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@ -1,5 +1,3 @@
from utils import *
def i(A, B):
"""
:param A: First probability
@ -34,4 +32,11 @@ def n(A):
"""
return 1 - A
man(man)
def man():
print("This module contains functions for computing the total probability of events.")
print("The functions are:")
print("i(A, B) - The intersection of A and B")
print("u(A, B) - The union of A and B")
print("g(A, B) - The conditional probability of A given B")
print("n(A) - The negation of A")

6
utils.py
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@ -1,6 +0,0 @@
def man(func):
"""
Prints the manual for the function.
:param func: function
"""
print(func.__doc__)