Dear Cadet Community,
since this is my first post in the forum, I want to start by thanking the developers and users alike for creating such a place where vivid exchange about experiences with Cadet is possible. I already learnt a lot as a passive reader in the past.
I tried to use Cadet_Match for parameter estimation and executed the code from a old Cadet Python tutorial (Lesson 8: Cadet-Match), which I think is not available online anymore. The expected behaviour is that Cadet-Match fits the column porosity and column dispersion parameters using a (synthetic) experimental data set.
However, when calling the .start_sim() function, I get the following log, leading to a TypeError at the end:
C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\arviz\__init__.py:50: FutureWarning:
ArviZ is undergoing a major refactor to improve flexibility and extensibility while maintaining a user-friendly interface.
Some upcoming changes may be backward incompatible.
For details and migration guidance, visit: https://python.arviz.org/en/latest/user_guide/migration_guide.html
warn(
C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py:59: UserWarning: The specified install_path is not the root of the CADET installation. It has been inferred from the file path.
warnings.warn(
C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py:594: FutureWarning: Cadet.load() will be removed in a future release.
Please use Cadet.load_from_file() to load results from a file or use Cadet.run_simulation() to run a simulation and directly load the simulation results.
warnings.warn(
C:\Program Files\Miniforge3\envs\cadet_match\lib\subprocess.py:961: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used
self.stdout = io.open(c2pread, 'rb', bufsize)
2026-02-20 13:35:42,951 match.py print_version 121 CADETMatch starting up version: 0.8.16
2026-02-20 13:35:43,082 match.py print_version 150 attrs version: 25.4.0 tested with 21.2.0
2026-02-20 13:35:43,114 match.py print_version 150 joblib version: 1.5.3 tested with 1.0.1
2026-02-20 13:35:43,134 match.py print_version 150 addict version: 2.4.0 tested with 2.4.0
2026-02-20 13:35:43,153 match.py print_version 150 corner version: 2.2.3 tested with 2.2.1
2026-02-20 13:35:43,191 match.py print_version 150 emcee version: 3.1.6 tested with 3.0.2
2026-02-20 13:35:43,246 match.py print_version 150 SALib version: 1.5.2 tested with 1.3.11
2026-02-20 13:35:43,276 match.py print_version 150 psutil version: 7.2.2 tested with 5.8.0
2026-02-20 13:35:43,276 match.py print_version 150 numpy version: 1.26.4 tested with 1.21.1
2026-02-20 13:35:43,317 match.py print_version 150 openpyxl version: 3.1.5 tested with 3.0.7
2026-02-20 13:35:43,348 match.py print_version 150 scipy version: 1.15.2 tested with 1.7.0
2026-02-20 13:35:43,370 match.py print_version 150 matplotlib version: 3.10.8 tested with 3.4.2
2026-02-20 13:35:43,419 match.py print_version 150 pandas version: 2.3.3 tested with 1.3.0
2026-02-20 13:35:43,466 match.py print_version 150 h5py version: 3.15.1 tested with 3.3.0
2026-02-20 13:35:43,510 match.py print_version 150 cadet-python version: 1.1.2 tested with 0.11
2026-02-20 13:35:43,565 match.py print_version 150 seaborn version: 0.13.2 tested with 0.11.1
2026-02-20 13:35:43,613 match.py print_version 150 scikit-learn version: 1.7.2 tested with 0.24.2
2026-02-20 13:35:43,640 match.py print_version 150 jstyleson version: 0.0.2 tested with 0.2.0
2026-02-20 13:35:43,678 match.py print_version 150 filelock version: 3.20.3 tested with 3.0.12
2026-02-20 13:35:43,721 match.py print_version 150 pymoo version: 0.6.0.1 tested with 0.6.0.1
2026-02-20 13:35:47,635 loggerwriter.py write 10 C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py:59: UserWarning: The specified install_path is not the root of the CADET installation. It has been inferred from the file path.
warnings.warn(
2026-02-20 13:35:47,683 loggerwriter.py write 10 C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py:594: FutureWarning: Cadet.load() will be removed in a future release.
Please use Cadet.load_from_file() to load results from a file or use Cadet.run_simulation() to run a simulation and directly load the simulation results.
warnings.warn(
2026-02-20 13:35:47,746 util.py setupSimulation 1255 dextran_reference.h5 abstol=1e-06 reltol=1e-06
2026-02-20 13:35:47,746 loggerwriter.py write 10 Traceback (most recent call last):
2026-02-20 13:35:47,746 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\CADETMatch\match.py", line 363, in <module>
2026-02-20 13:35:47,746 loggerwriter.py write 10
2026-02-20 13:35:47,746 loggerwriter.py write 10 main(map_function=map_function)
2026-02-20 13:35:47,746 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\CADETMatch\match.py", line 26, in main
2026-02-20 13:35:47,746 loggerwriter.py write 10
2026-02-20 13:35:47,746 loggerwriter.py write 10 setup(cache, path, map_function)
2026-02-20 13:35:47,746 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\CADETMatch\match.py", line 117, in setup
2026-02-20 13:35:47,746 loggerwriter.py write 10
2026-02-20 13:35:47,746 loggerwriter.py write 10 setupTemplates(cache)
2026-02-20 13:35:47,746 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\CADETMatch\match.py", line 273, in setupTemplates
2026-02-20 13:35:47,746 loggerwriter.py write 10
2026-02-20 13:35:47,746 loggerwriter.py write 10 util.runExperiment(
2026-02-20 13:35:47,746 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\CADETMatch\util.py", line 309, in runExperiment
2026-02-20 13:35:47,761 loggerwriter.py write 10
2026-02-20 13:35:47,761 loggerwriter.py write 10 simulation = Cadet(template_sim.root)
2026-02-20 13:35:47,761 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py", line 230, in __init__
2026-02-20 13:35:47,761 loggerwriter.py write 10
2026-02-20 13:35:47,761 loggerwriter.py write 10 self.install_path = install_path # This will automatically set the runners.
2026-02-20 13:35:47,761 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py", line 293, in install_path
2026-02-20 13:35:47,761 loggerwriter.py write 10
2026-02-20 13:35:47,761 loggerwriter.py write 10 resolve_cadet_paths(install_path)
2026-02-20 13:35:47,761 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\site-packages\cadet\cadet.py", line 55, in resolve_cadet_paths
2026-02-20 13:35:47,761 loggerwriter.py write 10
2026-02-20 13:35:47,761 loggerwriter.py write 10 install_path = Path(install_path).expanduser()
2026-02-20 13:35:47,761 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\pathlib.py", line 960, in __new__
2026-02-20 13:35:47,796 loggerwriter.py write 10
2026-02-20 13:35:47,796 loggerwriter.py write 10 self = cls._from_parts(args)
2026-02-20 13:35:47,796 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\pathlib.py", line 594, in _from_parts
2026-02-20 13:35:47,798 loggerwriter.py write 10
2026-02-20 13:35:47,798 loggerwriter.py write 10 drv, root, parts = self._parse_args(args)
2026-02-20 13:35:47,798 loggerwriter.py write 10 File "C:\Program Files\Miniforge3\envs\cadet_match\lib\pathlib.py", line 578, in _parse_args
2026-02-20 13:35:47,799 loggerwriter.py write 10
2026-02-20 13:35:47,800 loggerwriter.py write 10 a = os.fspath(a)
2026-02-20 13:35:47,800 loggerwriter.py write 10 TypeError
2026-02-20 13:35:47,800 loggerwriter.py write 10 :
2026-02-20 13:35:47,800 loggerwriter.py write 10 expected str, bytes or os.PathLike object, not Dict
2026-02-20 13:35:47,800 util.py info 54 process shutting down
My full code looks as follows:
import shutil
import os
import platform
from pathlib import Path
from cadet import Cadet
#Either ensure CADET is on your PATH (e.g. by installing via conda)
#OR
#provide the path to the CADET installation
#E.g.
#windows: C:\Users<username>\cadet
#linux: ~/cadet/bin
#would be set by:
install_path = âC:/BITrusted/venv/cadetâ
executable = âcadet-cli.exeâ
if install_path is None:
try:
if platform.system() == âWindowsâ:
executable += â.exeâ
executable_path = Path(shutil.which(executable))
except TypeError:
raise FileNotFoundError(
âCADET could not be found. Please set an install pathâ
)
install_path = executable_path.parent.parent
install_path = Path(install_path)
cadet_bin_path = install_path / âbinâ / executable
if cadet_bin_path.exists():
Cadet.cadet_path = cadet_bin_path
else:
raise FileNotFoundError(
âCADET could not be found. Please check the pathâ
)
cadet_lib_path = install_path / âlibâ
try:
if cadet_lib_path.as_posix() not in os.environ[âLD_LIBRARY_PATHâ]:
os.environ[âLD_LIBRARY_PATHâ] =
cadet_lib_path.as_posix()
+ os.pathsep
+ os.environ[âLD_LIBRARY_PATHâ]
except KeyError:
os.environ[âLD_LIBRARY_PATHâ] = cadet_lib_path.as_posix()
lwe_executable = âcreateLWEâ
if platform.system() == âWindowsâ:
lwe_executable += â.exeâ
lwe_path = install_path / âbinâ / lwe_executable
#Here, some other standard libraries are imported
import os
from IPython.core.display import display, HTML, clear_output
display(HTML(â.container { width:100% !important; }â))
from IPython.display import Image
#python numeric library
import numpy as np
#scientific library for python
import scipy
#addict is a library that makes it easier to create nested dictionaries
from addict import Dict
#json is a standard text based format and it used in CADETMatch for the configuration file
import json
#python plotting library
import matplotlib.pyplot as plt
%config InlineBackend.figure_format=âsvgâ
%matplotlib inline
#jupyter widget support
from ipywidgets import interact, interactive
import ipywidgets as widgets
#Temporary files for simulation objects
import tempfile
tempfile.tempdir = os.path.join(Path.home())
import subprocess
def get_cadet_template(n_units=3, split_components_data=False):
cadet_template = Cadet()
cadet_template.root.input.model.nunits = n_units
# Store solution
cadet_template.root.input['return'].split_components_data = split_components_data
cadet_template.root.input['return'].split_ports_data = 0
cadet_template.root.input['return'].unit_000.write_solution_inlet = 1
cadet_template.root.input['return'].unit_000.write_solution_outlet = 1
cadet_template.root.input['return'].unit_000.write_solution_bulk = 1
cadet_template.root.input['return'].unit_000.write_solution_particle = 1
cadet_template.root.input['return'].unit_000.write_solution_solid = 1
cadet_template.root.input['return'].unit_000.write_solution_flux = 1
cadet_template.root.input['return'].unit_000.write_solution_volume = 1
cadet_template.root.input['return'].unit_000.write_coordinates = 1
cadet_template.root.input['return'].unit_000.write_sens_outlet = 1
for unit in range(n_units):
cadet_template.root.input['return']['unit_{0:03d}'.format(unit)] = cadet_template.root.input['return'].unit_000
# Tolerances for the time integrator
cadet_template.root.input.solver.time_integrator.abstol = 1e-6
cadet_template.root.input.solver.time_integrator.algtol = 1e-10
cadet_template.root.input.solver.time_integrator.reltol = 1e-6
cadet_template.root.input.solver.time_integrator.init_step_size = 1e-6
cadet_template.root.input.solver.time_integrator.max_steps = 1000000
# Solver settings
cadet_template.root.input.model.solver.gs_type = 1
cadet_template.root.input.model.solver.max_krylov = 0
cadet_template.root.input.model.solver.max_restarts = 10
cadet_template.root.input.model.solver.schur_safety = 1e-8
# Run the simulation on single thread
cadet_template.root.input.solver.nthreads = 1
return cadet_template
def set_discretization(model, n_bound=None, n_col=20, n_par_types=1):
columns = {âGENERAL_RATE_MODELâ, âLUMPED_RATE_MODEL_WITH_PORESâ, âLUMPED_RATE_MODEL_WITHOUT_PORESâ}
for unit_name, unit in model.root.input.model.items():
if 'unit_' in unit_name and unit.unit_type in columns:
unit.discretization.ncol = n_col
unit.discretization.npar = 5
unit.discretization.npartype = n_par_types
if n_bound is None:
n_bound = unit.ncomp*[0]
unit.discretization.nbound = n_bound
unit.discretization.par_disc_type = 'EQUIDISTANT_PAR'
unit.discretization.use_analytic_jacobian = 1
unit.discretization.reconstruction = 'WENO'
unit.discretization.gs_type = 1
unit.discretization.max_krylov = 0
unit.discretization.max_restarts = 10
unit.discretization.schur_safety = 1.0e-8
unit.discretization.weno.boundary_model = 0
unit.discretization.weno.weno_eps = 1e-10
unit.discretization.weno.weno_order = 3
def create_dextran_model():
dextran_model = get_cadet_template(n_units=3, split_components_data=True)
# INLET
dextran_model.root.input.model.unit_000.unit_type = 'INLET'
dextran_model.root.input.model.unit_000.ncomp = 1
dextran_model.root.input.model.unit_000.inlet_type = 'PIECEWISE_CUBIC_POLY'
# Column
dextran_model.root.input.model.unit_001.unit_type = 'LUMPED_RATE_MODEL_WITH_PORES'
dextran_model.root.input.model.unit_001.ncomp = 1
dextran_model.root.input.model.unit_001.col_length = 0.25
dextran_model.root.input.model.unit_001.cross_section_area = 1e-4
dextran_model.root.input.model.unit_001.col_porosity = 0.37
dextran_model.root.input.model.unit_001.par_porosity = 0.33
dextran_model.root.input.model.unit_001.par_radius = 4.5e-5
dextran_model.root.input.model.unit_001.col_dispersion = 2.0e-7
dextran_model.root.input.model.unit_001.film_diffusion = [0.0,]
dextran_model.root.input.model.unit_001.adsorption_model = 'NONE'
dextran_model.root.input.model.unit_001.init_c = [0.0,]
set_discretization(dextran_model, n_col=100)
## Outlet
dextran_model.root.input.model.unit_002.ncomp = 1
dextran_model.root.input.model.unit_002.unit_type = 'OUTLET'
# Sections and connections
dextran_model.root.input.solver.sections.nsec = 2
dextran_model.root.input.solver.sections.section_times = [0.0, 50.0, 600.0]
dextran_model.root.input.solver.sections.section_continuity = [0,]
## Inlet Profile
dextran_model.root.input.model.unit_000.sec_000.const_coeff = [1.0,]
dextran_model.root.input.model.unit_000.sec_001.const_coeff = [0.0,]
## Switches
dextran_model.root.input.model.connections.nswitches = 1
dextran_model.root.input.model.connections.switch_000.section = 0
dextran_model.root.input.model.connections.switch_000.connections = [
0, 1, -1, -1, 2.88e-8,
1, 2, -1, -1, 2.88e-8
]
#set the times that the simulator writes out data for
dextran_model.root.input.solver.user_solution_times = np.linspace(0, 600, 601)
return dextran_model
def plot_dextran_model(model):
time = model.root.output.solution.solution_times
c = model.root.output.solution.unit_001.solution_outlet_comp_000
plt.plot(time, c)
plt.title('Column (Outlet)')
plt.xlabel('$time~/~min$')
plt.ylabel('$concentration~/~mol \cdot L^{-1} $')
plt.show()
#Wrapper for calling the Cadet.run() function with some additional functionality.
def run_simulation(cadet, file_name=None):
if file_name is None:
f = next(tempfile._get_candidate_names())
cadet.filename = os.path.join(tempfile.tempdir, f + '.h5')
else:
cadet.filename = file_name
# save the simulation
cadet.save()
# run the simulation and load results
data = cadet.run()
cadet.load()
# Remove files
if file_name is None:
os.remove(os.path.join(tempfile.tempdir, f + '.h5'))
# Raise error if simulation fails
if data.return_code == 0:
print("Simulation completed successfully")
else:
print(data)
raise Exception("Simulation failed")
from addict import Dict
base_dir = Path('./').absolute()
match_config = Dict()
match_config.CADETPath = Cadet.cadet_path.as_posix()
match_config.baseDir = base_dir.as_posix()
match_config.resultsDir = 'results'
dextran_model = create_dextran_model()
run_simulation(dextran_model, 'dextran_reference.h5')
parameter1 = Dict()
parameter1.location = '/input/model/unit_001/COL_DISPERSION'
parameter1.min = 1e-10
parameter1.max = 1e-6
parameter1.component = -1
parameter1.bound = -1
parameter1.transform = 'null'
parameter2 = Dict()
parameter2.location = '/input/model/unit_001/COL_POROSITY'
parameter2.min = 0.2
parameter2.max = 0.7
parameter2.component = -1
parameter2.bound = -1
parameter2.transform = 'null'
match_config.parameters = [parameter1, parameter2]
experiment1 = Dict()
experiment1.name = 'dextran'
experiment1.csv = 'dextran_experiment.csv'
experiment1.HDF5 = 'dextran_reference.h5'
experiment1.output_path = '/output/solution/unit_002/SOLUTION_OUTLET_COMP_000'
match_config.experiments = [experiment1,]
feature1 = Dict()
feature1.name = "Pulse"
feature1.type = 'SSE'
experiment1.features = [feature1,]
match_config.searchMethod = 'NSGA3'
match_config.population = 12
match_config.stallGenerations = 10
match_config.finalGradRefinement = True
match_config.gradVector = True
from CADETMatch.jupyter import Match
match_config_file = base_dir / 'dextran.json'
with open(match_config_file.as_posix(), 'w') as json_file:
json.dump(match_config.to_dict(), json_file, indent='\t')
match = Match(match_config_file)
match.start_sim()
The used data âdextran_experiment.csvâ is the following (sorry for the format, as a new user, I am unfortunately not allowed yet to upload files as attachment):
0.0,0.0
1.0,-4.702848186084886e-97
2.0,1.0381282617829266e-89
3.0,5.094517845571499e-86
4.0,-1.9950531489041665e-82
5.0,-6.629811741975923e-80
6.0,4.916217837199065e-77
7.0,1.7227581317604414e-75
8.0,-9.589890765038024e-73
9.0,3.3990065720829446e-72
10.0,3.070269106574815e-69
11.0,-5.104400790384335e-68
12.0,-1.513050903613588e-66
13.0,3.0569901624230535e-65
14.0,4.979305140461423e-64
15.0,-6.035387891675968e-63
16.0,-9.309590564804677e-62
17.0,4.622385616544162e-61
18.0,9.971364804806084e-60
19.0,-2.2100682596676324e-60
20.0,-5.9092290475532996e-58
21.0,-1.8404644191110982e-57
22.0,1.7920902729898435e-56
23.0,1.2273274428647233e-55
24.0,-1.268344019665487e-55
25.0,-3.6050409476246534e-54
26.0,-8.901112609698439e-54
27.0,4.413813379506895e-53
28.0,3.0506209237872164e-52
29.0,2.5422669740757363e-52
30.0,-3.728191171956133e-51
31.0,-1.4433908846725844e-50
32.0,-2.3109642373657462e-51
33.0,1.5087382778012988e-49
34.0,4.903937609880518e-49
35.0,4.379515859393295e-50
36.0,-4.438619399188863e-48
37.0,-1.4050254307358762e-47
38.0,-6.037504378779409e-48
39.0,9.360592480043762e-47
40.0,3.3077788017269285e-46
41.0,3.1925598406235053e-46
42.0,-1.3399654260820327e-45
43.0,-6.148572631117582e-45
44.0,-9.673388244052783e-45
45.0,9.342452351243452e-45
46.0,8.518283396336145e-44
47.0,1.9551444475507984e-43
48.0,9.528620995884365e-44
49.0,-7.75681659798746e-43
50.0,-2.7371850852247146e-42
51.0,-3.877446700807291e-42
52.0,2.5672524904140138e-42
53.0,2.590862812965929e-41
54.0,6.085768782737818e-41
55.0,5.234760304654039e-41
56.0,-1.239492116023484e-40
57.0,-5.702539744377369e-40
58.0,-1.0537388794815473e-39
59.0,-5.5420007027678704e-40
60.0,2.712068728883604e-39
61.0,9.596553185182383e-39
62.0,1.5724627113528307e-38
63.0,6.45118821494985e-39
64.0,-4.0877981964979606e-38
65.0,-1.339072889412051e-37
66.0,-2.144217694366349e-37
67.0,-1.0522274287626218e-37
68.0,4.588609945163563e-37
69.0,1.5828278172794016e-36
70.0,2.685772548150244e-36
71.0,1.9287645028564093e-36
72.0,-3.6006997786040975e-36
73.0,-1.569870726184696e-35
74.0,-3.008256125449146e-35
75.0,-3.037494716001292e-35
76.0,1.2560537875344046e-35
77.0,1.2501474582487744e-34
78.0,2.8946230130244725e-34
79.0,3.8596994717937625e-34
80.0,1.5960270918653181e-34
81.0,-7.000000274766217e-34
82.0,-2.27241077556729e-33
83.0,-3.908230596643065e-33
84.0,-3.7523091326252575e-33
85.0,1.1274744259032533e-33
86.0,1.317904206604498e-32
87.0,3.0835264570633357e-32
88.0,4.378194387874929e-32
89.0,3.021197802500166e-32
90.0,-3.8057465673685067e-32
91.0,-1.7614051829088202e-31
92.0,-3.5085764631384167e-31
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581.0,1.1401630082312135e-09
582.0,1.0289721937885956e-09
583.0,9.177813793459777e-10
584.0,8.065905649033597e-10
585.0,6.953997504607418e-10
586.0,6.178877853761424e-10
587.0,5.89407066523947e-10
588.0,5.609263476717516e-10
589.0,5.324456288195561e-10
590.0,5.039649099673608e-10
591.0,4.754841911151653e-10
592.0,4.4700347226296997e-10
593.0,4.185227534107746e-10
594.0,3.900420345585792e-10
595.0,3.615613157063838e-10
596.0,3.330805968541884e-10
597.0,3.04599878001993e-10
598.0,2.7611915914979756e-10
599.0,2.476384402976022e-10
600.0,2.191577214454068e-10
Last, the environment.yml output:
name: cadet_match
channels:
- conda-forge
dependencies:
- _openmp_mutex=4.5=2_gnu
- anyio=4.12.1=pyhcf101f3_0
- argon2-cffi=25.1.0=pyhd8ed1ab_0
- argon2-cffi-bindings=25.1.0=py310h29418f3_2
- arrow=1.4.0=pyhcf101f3_0
- asttokens=3.0.1=pyhd8ed1ab_0
- async-lru=2.1.0=pyhcf101f3_0
- attrs=25.4.0=pyhcf101f3_1
- autograd=1.8.0=pyhd8ed1ab_0
- babel=2.18.0=pyhcf101f3_0
- backports.zstd=1.3.0=py310h458dff3_0
- beautifulsoup4=4.14.3=pyha770c72_0
- bleach=6.3.0=pyhcf101f3_0
- bleach-with-css=6.3.0=h5f6438b_0
- brotli=1.2.0=h2d644bc_1
- brotli-bin=1.2.0=hfd05255_1
- brotli-python=1.2.0=py310hfff998d_1
- bzip2=1.0.8=h0ad9c76_8
- ca-certificates=2026.1.4=h4c7d964_0
- cached-property=1.5.2=hd8ed1ab_1
- cached_property=1.5.2=pyha770c72_1
- cairo=1.18.4=h477c42c_1
- certifi=2026.1.4=pyhd8ed1ab_0
- cffi=2.0.0=py310h29418f3_1
- charset-normalizer=3.4.4=pyhd8ed1ab_0
- colorama=0.4.6=pyhd8ed1ab_1
- comm=0.2.3=pyhe01879c_0
- contourpy=1.3.2=py310hc19bc0b_0
- cycler=0.12.1=pyhcf101f3_2
- debugpy=1.8.20=py310h699e580_0
- decorator=5.2.1=pyhd8ed1ab_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- double-conversion=3.4.0=hac47afa_0
- exceptiongroup=1.3.1=pyhd8ed1ab_0
- executing=2.2.1=pyhd8ed1ab_0
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
- font-ttf-inconsolata=3.000=h77eed37_0
- font-ttf-source-code-pro=2.038=h77eed37_0
- font-ttf-ubuntu=0.83=h77eed37_3
- fontconfig=2.15.0=h765892d_1
- fonts-conda-ecosystem=1=0
- fonts-conda-forge=1=hc364b38_1
- fonttools=4.61.1=py310hdb0e946_0
- fqdn=1.5.1=pyhd8ed1ab_1
- freetype=2.14.1=h57928b3_0
- graphite2=1.3.14=hac47afa_2
- h11=0.16.0=pyhcf101f3_1
- h2=4.3.0=pyhcf101f3_0
- harfbuzz=12.3.2=h5a1b470_0
- hpack=4.1.0=pyhd8ed1ab_0
- httpcore=1.0.9=pyh29332c3_0
- httpx=0.28.1=pyhd8ed1ab_0
- hyperframe=6.1.0=pyhd8ed1ab_0
- icu=78.2=h637d24d_0
- idna=3.11=pyhd8ed1ab_0
- importlib-metadata=8.7.0=pyhe01879c_1
- ipykernel=7.1.0=pyh6dadd2b_0
- ipython=8.37.0=pyha7b4d00_0
- ipywidgets=8.1.8=pyhd8ed1ab_0
- isoduration=20.11.0=pyhd8ed1ab_1
- jedi=0.19.2=pyhd8ed1ab_1
- jinja2=3.1.6=pyhcf101f3_1
- json5=0.13.0=pyhd8ed1ab_0
- jsonpointer=3.0.0=pyhcf101f3_3
- jsonschema=4.26.0=pyhcf101f3_0
- jsonschema-specifications=2025.9.1=pyhcf101f3_0
- jsonschema-with-format-nongpl=4.26.0=hcf101f3_0
- jstyleson=0.0.2=pyhd8ed1ab_1
- jupyter-lsp=2.3.0=pyhcf101f3_0
- jupyter_client=8.8.0=pyhcf101f3_0
- jupyter_core=5.9.1=pyh6dadd2b_0
- jupyter_events=0.12.0=pyh29332c3_0
- jupyter_server=2.17.0=pyhcf101f3_0
- jupyter_server_terminals=0.5.4=pyhcf101f3_0
- jupyterlab=4.5.3=pyhd8ed1ab_0
- jupyterlab_pygments=0.3.0=pyhd8ed1ab_2
- jupyterlab_server=2.28.0=pyhcf101f3_0
- jupyterlab_widgets=3.0.16=pyhcf101f3_1
- kiwisolver=1.4.9=py310h1e1005b_2
- krb5=1.21.3=hdf4eb48_0
- lark=1.3.1=pyhd8ed1ab_0
- lcms2=2.18=hf2c6c5f_0
- lerc=4.0.0=h6470a55_1
- libblas=3.11.0=5_hf2e6a31_mkl
- libbrotlicommon=1.2.0=hfd05255_1
- libbrotlidec=1.2.0=hfd05255_1
- libbrotlienc=1.2.0=hfd05255_1
- libcblas=3.11.0=5_h2a3cdd5_mkl
- libclang13=21.1.8=default_ha2db4b5_3
- libdeflate=1.25=h51727cc_0
- libexpat=2.7.3=hac47afa_0
- libffi=3.5.2=h3d046cb_0
- libfreetype=2.14.1=h57928b3_0
- libfreetype6=2.14.1=hdbac1cb_0
- libgcc=15.2.0=h8ee18e1_17
- libglib=2.86.3=h0c9aed9_0
- libgomp=15.2.0=h8ee18e1_17
- libhwloc=2.12.2=default_h4379cf1_1000
- libiconv=1.18=hc1393d2_2
- libintl=0.22.5=h5728263_3
- libjpeg-turbo=3.1.2=hfd05255_0
- liblapack=3.11.0=5_hf9ab0e9_mkl
- liblzma=5.8.2=hfd05255_0
- libpng=1.6.54=h7351971_0
- libsodium=1.0.20=hc70643c_0
- libsqlite=3.51.2=hf5d6505_0
- libtiff=4.7.1=h8f73337_1
- libvulkan-loader=1.4.341.0=h477610d_0
- libwebp-base=1.6.0=h4d5522a_0
- libwinpthread=12.0.0.r4.gg4f2fc60ca=h57928b3_10
- libxcb=1.17.0=h0e4246c_0
- libxml2=2.15.1=h779ef1b_1
- libxml2-16=2.15.1=h3cfd58e_1
- libxslt=1.1.43=h0fbe4c1_1
- libzlib=1.3.1=h2466b09_2
- llvm-openmp=21.1.8=h4fa8253_0
- markupsafe=3.0.3=py310hdb0e946_0
- matplotlib=3.10.8=py310h5588dad_0
- matplotlib-base=3.10.8=py310h0bdd906_0
- matplotlib-inline=0.2.1=pyhd8ed1ab_0
- mistune=3.2.0=pyhcf101f3_0
- mkl=2025.3.0=hac47afa_455
- munkres=1.1.4=pyhd8ed1ab_1
- nbclient=0.10.4=pyhd8ed1ab_0
- nbconvert-core=7.17.0=pyhcf101f3_0
- nbformat=5.10.4=pyhd8ed1ab_1
- nest-asyncio=1.6.0=pyhd8ed1ab_1
- notebook-shim=0.2.4=pyhd8ed1ab_1
- numpy=1.26.4=py310hf667824_0
- openjpeg=2.5.4=h24db6dd_0
- openssl=3.6.1=hf411b9b_1
- overrides=7.7.0=pyhd8ed1ab_1
- packaging=26.0=pyhcf101f3_0
- pandocfilters=1.5.0=pyhd8ed1ab_0
- parso=0.8.5=pyhcf101f3_0
- pcre2=10.47=hd2b5f0e_0
- pickleshare=0.7.5=pyhd8ed1ab_1004
- pillow=12.1.0=py310h712baa7_0
- pip=26.0.1=pyh8b19718_0
- pixman=0.46.4=h5112557_1
- platformdirs=4.5.1=pyhcf101f3_0
- prometheus_client=0.24.1=pyhd8ed1ab_0
- prompt-toolkit=3.0.52=pyha770c72_0
- psutil=7.2.2=py310h1637853_0
- pthread-stubs=0.4=h0e40799_1002
- pure_eval=0.2.3=pyhd8ed1ab_1
- pycparser=2.22=pyh29332c3_1
- pygments=2.19.2=pyhd8ed1ab_0
- pyparsing=3.3.2=pyhcf101f3_0
- pyside6=6.10.2=py310h96c60bd_0
- pysocks=1.7.1=pyh09c184e_7
- python=3.10.19=hc20f281_3_cpython
- python-dateutil=2.9.0.post0=pyhe01879c_2
- python-fastjsonschema=2.21.2=pyhe01879c_0
- python-json-logger=2.0.7=pyhd8ed1ab_0
- python-tzdata=2025.3=pyhd8ed1ab_0
- python_abi=3.10=8_cp310
- pytz=2025.2=pyhd8ed1ab_0
- pywin32=311=py310h282bd7d_1
- pywinpty=2.0.15=py310h9e98ed7_1
- pyyaml=6.0.3=py310hdb0e946_1
- pyzmq=27.1.0=py310h535538e_0
- qhull=2020.2=hc790b64_5
- qt6-main=6.10.2=h68b6638_4
- referencing=0.37.0=pyhcf101f3_0
- requests=2.32.5=pyhcf101f3_1
- rfc3339-validator=0.1.4=pyhd8ed1ab_1
- rfc3986-validator=0.1.1=pyh9f0ad1d_0
- rfc3987-syntax=1.1.0=pyhe01879c_1
- rpds-py=0.30.0=py310h034784e_0
- scipy=1.15.2=py310h15c175c_0
- send2trash=2.1.0=pyh6dadd2b_0
- setuptools=80.10.2=pyh332efcf_0
- six=1.17.0=pyhe01879c_1
- sniffio=1.3.1=pyhd8ed1ab_2
- soupsieve=2.8.3=pyhd8ed1ab_0
- stack_data=0.6.3=pyhd8ed1ab_1
- tbb=2022.3.0=h3155e25_2
- terminado=0.18.1=pyh6dadd2b_1
- tinycss2=1.5.1=pyhcf101f3_0
- tk=8.6.13=h6ed50ae_3
- tomli=2.4.0=pyhcf101f3_0
- tornado=6.5.4=py310h29418f3_0
- traitlets=5.14.3=pyhd8ed1ab_1
- typing-extensions=4.15.0=h396c80c_0
- typing_extensions=4.15.0=pyhcf101f3_0
- typing_utils=0.1.0=pyhd8ed1ab_1
- tzdata=2025c=hc9c84f9_1
- ucrt=10.0.26100.0=h57928b3_0
- unicodedata2=17.0.0=py310h29418f3_1
- uri-template=1.3.0=pyhd8ed1ab_1
- urllib3=2.6.3=pyhd8ed1ab_0
- vc=14.3=h41ae7f8_34
- vc14_runtime=14.44.35208=h818238b_34
- vcomp14=14.44.35208=h818238b_34
- vs2015_runtime=14.44.35208=h38c0c73_34
- wcwidth=0.5.3=pyhd8ed1ab_0
- webcolors=25.10.0=pyhd8ed1ab_0
- webencodings=0.5.1=pyhd8ed1ab_3
- websocket-client=1.9.0=pyhd8ed1ab_0
- wheel=0.46.3=pyhd8ed1ab_0
- widgetsnbextension=4.0.15=pyhd8ed1ab_0
- win_inet_pton=1.1.0=pyh7428d3b_8
- winpty=0.4.3=4
- xorg-libxau=1.0.12=hba3369d_1
- xorg-libxdmcp=1.1.5=hba3369d_1
- yaml=0.2.5=h6a83c73_3
- zeromq=4.3.5=h5bddc39_9
- zipp=3.23.0=pyhcf101f3_1
- zlib-ng=2.3.3=h0261ad2_1
- zstd=1.5.7=h534d264_6
- pip:
- about-time==4.2.1
- addict==2.4.0
- alive-progress==3.3.0
- arviz==0.23.4
- cadet-python==1.1.2
- cadetmatch==0.8.16
- cma==4.4.2
- corner==2.2.3
- deprecated==1.3.1
- dill==0.4.1
- emcee==3.1.6
- et-xmlfile==2.0.0
- filelock==3.20.3
- graphemeu==0.7.2
- h5netcdf==1.8.1
- h5py==3.15.1
- joblib==1.5.3
- llvmlite==0.46.0
- moocore==0.2.0
- multiprocess==0.70.19
- numba==0.63.1
- openpyxl==3.1.5
- pandas==2.3.3
- pymoo==0.6.0.1
- salib==1.5.2
- scikit-learn==1.7.2
- seaborn==0.13.2
- threadpoolctl==3.6.0
- wrapt==2.1.1
- xarray==2025.6.1
- xarray-einstats==0.8.0
prefix: C:\Program Files\Miniforge3\envs\cadet_match
I am aware that Cadet-match is not systematically updated/curated anymore and that most users would probably recommend to use Cadet-process instead (which in fact I already do most of the time). However, for a specific use case and for having the full picture of Cadet functionalities, I would be very glad to get this running. So any help is much appreciated! 
Best regards,
Dennis