tol_gradient isfinite
-
New hard dependency:
empymod
changed from being a soft dependency to being a hard dependency. -
Simulation
- A new parameter
tol_gradient
can be provided in the dictsolver_opts
; by default it is set to the value oftol
.tol
is the value used forcompute
(the forward),tol_gradient
is used forgradient
/jtvec
andjvec
(the gradient). In inversions, one can set the tolerance for the gradient often to a lower value, which saves computation time.
- A new parameter
-
Survey
- New attributes
isfinite
andfinite_data
. Former returns the indices of the finite data, latter returns directly the finite data.
- New attributes
-
Electrodes
- Fixed
TxMagneticDipole
-representation and improved documentation of the magnetic sources.
- Fixed
-
Maintenance:
-
Bumped the minimum requirements to:
- Python 3.9
- SciPy 1.9
- Numba 0.53
- empymod 2.3.0 (NEW requirement)
-
Testing: added Python 3.12, dropped Python 3.8.
-
Fix remaining outdated
python setup.py
commands. -
Many small things to keep the package updated.
-