#! /usr/bin/env python

import openturns as ot

dist1 = ot.Normal(1.0, 0.5)
print("dist1:", dist1)
result = dist1 + 2.0
print("dist1+2:", result)
graph = result.drawPDF()

result = dist1 - 2.0
print("dist1-2:", result)
graph = result.drawPDF()

result = dist1 * 2.0
print("dist1*2:", result)
graph = result.drawPDF()

result = dist1 / 2.0
print("dist1/2:", result)
graph = result.drawPDF()

result = 2.0 / dist1
print("2/dist1:", result)

result = dist1.cos()
print("cos(dist1):", result)
graph = result.drawPDF()

result = dist1.sin()
print("sin(dist1):", result)
graph = result.drawPDF()

result = dist1.tan()
print("tan(dist1):", result)
# graph = result.drawPDF()


dist0 = ot.Uniform(-0.999, 0.999)
result = dist0.acos()
print("acos(dist0):", result)
graph = result.drawPDF()

result = dist0.asin()
print("asin(dist0):", result)
graph = result.drawPDF()

result = dist0.atan()
print("atan(dist0):", result)
graph = result.drawPDF()


result = dist1.cosh()
print("cosh(dist1):", result)
graph = result.drawPDF()

result = dist1.sinh()
print("sinh(dist1):", result)
graph = result.drawPDF()

result = dist1.tanh()
print("tanh(dist1):", result)
graph = result.drawPDF()


distG1 = ot.LogNormal(1.0, 1.0, 1.0)
result = distG1.acosh()
print("acosh(distG1):", result)
graph = result.drawPDF()

result = dist1.asinh()
print("asinh(dist1):", result)
graph = result.drawPDF()

result = dist0.atanh()
print("atanh(dist0):", result)
graph = result.drawPDF()


result = dist1.exp()
print("exp(dist1):", result)
graph = result.drawPDF()

result = distG1.log()
print("log(distG1):", result)
graph = result.drawPDF()

result = distG1.ln()
print("ln(distG1):", result)
graph = result.drawPDF()


result = dist1**3
print("dist1^3:", result)
graph = result.drawPDF()

result = distG1**2.5
print("dist1^2.5:", result)
graph = result.drawPDF()

result = distG1.inverse()
print("inverse(distG1):", result)
graph = result.drawPDF()

result = dist1.sqr()
print("sqr(dist1):", result)
graph = result.drawPDF()

result = distG1.sqrt()
print("sqrt(distG1):", result)
graph = result.drawPDF()

result = dist1.cbrt()
print("cbrt(dist1):", result)
graph = result.drawPDF()

result = dist1.abs()
print("abs(dist1):", result)
graph = result.drawPDF()


dist2 = ot.Normal(-2.0, 1.0)
result = dist1 + dist2
print("dist1+dist2:", result)
graph = result.drawPDF()

result = dist1 - dist2
print("dist1-dist2:", result)
graph = result.drawPDF()

result = dist1 * dist2
print("dist1*dist2:", result)
graph = result.drawPDF()

result = dist1 / dist2
print("dist1/dist2:", result)
# graph = result.drawPDF()

result = 3 / dist1**2
print("3/dist1^2:", result)
graph = result.drawPDF()

result = (3 / dist1) ** 2
print("(3/dist1)^2:", result)
graph = result.drawPDF()

result = ot.LogNormal() * ot.LogNormal()
print("logn*logn:", result)
graph = result.drawPDF()

result = ot.LogUniform() * ot.LogUniform()
print("logu*logu:", result)
graph = result.drawPDF()

result = ot.LogUniform() * ot.LogNormal()
print("logu*logn:", result)
graph = result.drawPDF()

result = ot.LogNormal() * ot.LogUniform()
print("logn*logu:", result)
graph = result.drawPDF()

# For ticket #917
result = ot.WeibullMin() + ot.Exponential()
print("WeibullMin+Exponential:", result)
print("result.CDF(1.0)=%.6f" % result.computeCDF(1.0))
result = -1.0 * ot.WeibullMin() + ot.Exponential()
print("-WeibullMin+Exponential:", result)
print("result.CDF(1.0)=%.6f" % result.computeCDF(1.0))
result = ot.WeibullMin() - ot.Exponential()
print("WeibullMin-Exponential:", result)
print("result.CDF(1.0)=%.6f" % result.computeCDF(1.0))
result = -1.0 * ot.WeibullMin() - ot.Exponential()
print("-WeibullMin-Exponential:", result)
print("result.CDF(-1.0)=%.6f" % result.computeCDF(-1.0))

# 2-d
print(ot.Normal(2) + ot.Normal(2))
print(ot.Normal(2) + 3.0)
print(ot.Normal(2) - ot.Normal(2))
print(ot.Normal(2) - 3.0)

# unary minus
x = ot.Normal(7.0, 2.0)
print(-x)
print(-ot.Distribution(x))

# simplification of sum
x = -ot.Exponential() - ot.Exponential()
print(x)

# take into account the weight and the constant in simplification
x = 2 * (-ot.Exponential() - ot.Exponential())
print(x)
x = 2 * (-ot.Exponential() - ot.Exponential()) + 1.0
print(x)
x = ot.Poisson(5.0) + 1.0
print(x)