.idea/modules.xml

@@ -2,7 +2,7 @@
 <project version="4">
   <component name="ProjectModuleManager">
     <modules>
-      <module fileurl="file://$PROJECT_DIR$/.idea/casio-calculator.iml" filepath="$PROJECT_DIR$/.idea/casio-calculator.iml" />
+      <module fileurl="file://$PROJECT_DIR$/.idea/Calculator.iml" filepath="$PROJECT_DIR$/.idea/Calculator.iml" />
     </modules>
   </component>
 </project>

distribution.py

@@ -104,29 +104,23 @@ def gd_std(p):
 	return gd_var(p) ** 0.5
 
 
-def gd_upto(x, p, q=None):
+def gd_upto(x, p):
 	"""
 	Computes the cumulative probability of getting upto x trials until the first success.
 	:param x: Number of trials until the first success.
 	:param p: Probability of success.
-	:param q: Probability of failure.
 	:return: Returns the cumulative probability of getting upto x trials until the first success.
 	"""
-	if q is not None:
-		return sum(gd(i, p, q) for i in range(1, x + 1))
 	return sum(gd(i, p) for i in range(1, x + 1))
 
 
-def gd_from(x, p, q=None):
+def gd_from(x, p):
 	"""
 	Computes the cumulative probability of getting from x trials until the first success.
 	:param x: Number of trials until the first success.
 	:param p: Probability of success.
-	:param q: Probability of failure.
 	:return: Returns the cumulative probability of getting from x trials until the first success.
 	"""
-	if q is not None:
-		return 1 - gd_upto(x - 1, p, q)
 	return 1 - gd_upto(x - 1, p)
 
 
@@ -257,10 +251,6 @@ def pd_from(x, l):
 
 
 def man():
-	"""
-	Prints the manual for the module.
-	Formatted this way to fit in memory on the calculator.
-	"""
 	print("This module contains functions for computing the total probability of events.")
 	print("The functions are:")
 	print("bnd(x, n, p) - The binomial distribution")
@@ -273,14 +263,16 @@ def man():
 	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, q) - The cumulative probability of getting upto x trials until the first success")
-	print("gd_from(x, p, q) - The cumulative probability of getting from x trials until the first success")
+	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(
+		"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")

law_total_probability.py

@@ -34,9 +34,6 @@ def n(A):
 
 
 def man():
-	"""
-	Prints the manual for the module.
-	"""
 	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")