bug fix trunctated gaussian

Author: pdevis

.gitignore

@@ -119,3 +119,5 @@ ENV/
 
 # macOS temporary files
 .DS_Store
+*.png
+*.pdf

comet_maths/_version.py

@@ -1 +1 @@
-__version__ = "1.0.7"
+__version__ = "1.0.8"

comet_maths/generate_sample/generate_sample.py

@@ -512,21 +512,21 @@ def generate_sample_correlated(
             if len(corr_x[i]) == len(u_x[i].ravel()):
                 # cov_x = cm.convert_corr_to_cov(corr_x[i], u_x[i])
                 MC_data = generate_sample_corr(
-                    MCsteps, x[i], u_x[i], corr_x[i], dtype=dtype
+                    MCsteps, x[i], u_x[i], corr_x[i], dtype=dtype, pdf_shape=pdf_shape, pdf_params=pdf_params
                 )
             elif len(corr_x[i]) == len(u_x[i]):
                 MC_data = np.zeros((MCsteps,) + (u_x[i].shape))
                 for j in range(len(u_x[i][0])):
                     # cov_x = cm.convert_corr_to_cov(corr_x[i], u_x[i][:, j])
                     MC_data[:, :, j] = generate_sample_corr(
-                        MCsteps, x[i][:, j], u_x[i][:, j], corr_x[i], dtype=dtype
+                        MCsteps, x[i][:, j], u_x[i][:, j], corr_x[i], dtype=dtype, pdf_shape=pdf_shape, pdf_params=pdf_params
                     )
             elif u_x[i].ndim > 1 and len(corr_x[i]) == len(u_x[i][0]):
                 MC_data = np.zeros((MCsteps,) + (u_x[i].shape))
                 for j in range(len(u_x[i][:, 0])):
                     # cov_x = cm.convert_corr_to_cov(corr_x[i], u_x[i][j])
                     MC_data[:, j, :] = generate_sample_corr(
-                        MCsteps, x[i][j], u_x[i][j], corr_x[i], dtype=dtype
+                        MCsteps, x[i][j], u_x[i][j], corr_x[i], dtype=dtype, pdf_shape=pdf_shape, pdf_params=pdf_params
                     )
             else:
                 raise NotImplementedError(