| from __future__ import division | |
| from sympy import * | |
| x, y, z, t = symbols('x y z t') | |
| k, m, n = symbols('k m n', integer=True) | |
| f, g, h = symbols('f g h', cls=Function) | |
| init_printing() | |
| a, b, c, d, e, f, g, h, i, v, x, y, z = symbols('a, b, c, d, e, f, g, h, i, v, x, y, z', real=True) | |
| M = Matrix([[a, b, c], [d, e, f], [g, h, i]]) | |
| K = Matrix([[v, x], [y, z]]) |
| diff --git a/sympy/stats/sampling/tests/test_sample_continuous_rv.py b/sympy/stats/sampling/tests/test_sample_continuous_rv.py | |
| index 7f13b4061e..46993145cb 100644 | |
| --- a/sympy/stats/sampling/tests/test_sample_continuous_rv.py | |
| +++ b/sympy/stats/sampling/tests/test_sample_continuous_rv.py | |
| @@ -1,6 +1,7 @@ | |
| +from sympy import exp, Interval, oo, Symbol | |
| from sympy.external import import_module | |
| from sympy.stats import Beta, Chi, Normal, Gamma, Exponential, LogNormal, Pareto, ChiSquared, Uniform, sample, \ | |
| - BetaPrime, Cauchy, GammaInverse, GaussianInverse, StudentT | |
| + BetaPrime, Cauchy, GammaInverse, GaussianInverse, StudentT, Weibull, density, ContinuousRV |
| ``` | |
| -- The CXX compiler identification is GNU 7.4.0 | |
| -- The C compiler identification is GNU 7.4.0 | |
| -- Check for working CXX compiler: /usr/bin/c++ | |
| -- Check for working CXX compiler: /usr/bin/c++ -- works | |
| -- Detecting CXX compiler ABI info | |
| -- Detecting CXX compiler ABI info - done | |
| -- Detecting CXX compile features | |
| -- Detecting CXX compile features - done | |
| -- Check for working C compiler: /usr/bin/cc |
This report summarizes the work done in my GSoC 2019 project, Enhancement of Statistics Module wth SymPy. My mentors were, Francesco Bonazzi and Sidhant Nagpal. A step by step development of the project is available at czgdp1807.github.io.
I am, Gagandeep Singh, a third year Bachelor of Technology student at Indian Institute of Technology, Jodhpur in the department of Computer Science and Engineering.