Integrate probabilit

- Use probabilit for random variable generation
- Add option 'correlation_iterations' in general input sheet (default=0 => ImanConover)
- Since variable sampling is not done in the same order, RNG is different and snapshot had to be used
- Slight discrepancies in Mac and Linux RNG. Fixed by letting snapshot compare 6 siginificant digits
- Added a test file with 6 lognorms, that showcases how we get better correlation matrices if correlation_iterations > 0
- Deleted ImanConover, nearest_correlation_matrix, etc. These are all in probabilit

Author: tommyod

pyproject.toml

@@ -42,6 +42,7 @@ dependencies = [
     "xlrd",
     "xtgeo>=2.15",
     "seaborn",
+    "probabilit==0.1.0",
 ]
 
 [project.urls]

src/semeio/fmudesign/__init__.py

@@ -9,11 +9,9 @@
 from semeio.fmudesign._excel2dict import excel2dict_design, inputdict_to_yaml
 from semeio.fmudesign._tornado_onebyone import calc_tornadoinput
 from semeio.fmudesign.create_design import DesignMatrix
-from semeio.fmudesign.iman_conover import ImanConover
 
 __all__ = [
     "DesignMatrix",
-    "ImanConover",
     "calc_tornadoinput",
     "excel2dict_design",
     "inputdict_to_yaml",

src/semeio/fmudesign/_excel2dict.py

@@ -198,6 +198,16 @@ def _excel2dict_onebyone(
 
     inputdict["designtype"] = generalinput[1]["designtype"]
 
+    # Extract
+    key = "correlation_iterations"
+    if key in generalinput.index:
+        try:
+            inputdict[key] = int(generalinput.loc[key].iloc[0])
+        except ValueError:
+            inputdict[key] = 0
+    else:
+        inputdict[key] = 0
+
     if "rms_seeds" in generalinput.index:
         rms_seeds = str(generalinput.loc["rms_seeds"].iloc[0])
         if rms_seeds == "None":