From ddcfb7ff798a63d3725f3bfc7348bb1856716e8a Mon Sep 17 00:00:00 2001
From: Valentin Boettcher <hiro@protagon.space>
Date: Wed, 13 Apr 2022 14:00:00 +0200
Subject: [PATCH] update deps

---
 .../07_one_bath_systematics/poetry.lock                |  2 +-
 .../07_one_bath_systematics/scripts/integrate_slip.py  | 10 +++++-----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/python/energy_flow_proper/07_one_bath_systematics/poetry.lock b/python/energy_flow_proper/07_one_bath_systematics/poetry.lock
index 1f1ce7b..e5dcd37 100644
--- a/python/energy_flow_proper/07_one_bath_systematics/poetry.lock
+++ b/python/energy_flow_proper/07_one_bath_systematics/poetry.lock
@@ -413,7 +413,7 @@ qutip = "^4.6.3"
 type = "git"
 url = "git@github.com:vale981/two_qubit_model.git"
 reference = "main"
-resolved_reference = "bc49789a1138812a23ad4a5b6d062823af812839"
+resolved_reference = "90afb3b525d0f52e25bda6baa22bdb7f2a0ccdf5"
 
 [[package]]
 name = "hops"
diff --git a/python/energy_flow_proper/07_one_bath_systematics/scripts/integrate_slip.py b/python/energy_flow_proper/07_one_bath_systematics/scripts/integrate_slip.py
index 4b3988c..88051bd 100644
--- a/python/energy_flow_proper/07_one_bath_systematics/scripts/integrate_slip.py
+++ b/python/energy_flow_proper/07_one_bath_systematics/scripts/integrate_slip.py
@@ -11,7 +11,7 @@ import qutip as qt
 
 import ray
 ray.shutdown()
-ray.init()
+ray.init(address="auto")
 
 from hops.util.logging_setup import logging_setup
 import logging
@@ -50,9 +50,9 @@ plot_interaction_consistency(
 
 k_models = [
     QubitModel(
-        δ=0.2,
+        δ=0.1,
         ω_c=2,
-        t=np.concatenate([np.linspace(0, 5, 400), np.linspace(5.1, 20, 100)]),#np.concatenate([np.linspace(0, 5, 400), np.linspace(5.01, 20, 100)]),
+        t=np.linspace(0, 20, int(20/0.01)),
         ψ_0=qt.basis([2], [0]),
         description=f"Find out the convergence behaviour wrt the influence tolerance.",
         k_max=int(k),
@@ -61,7 +61,7 @@ k_models = [
         driving_process_tolerance=StocProcTolerances(1e-6, 1e-6),
     )
     for k in np.arange(2, 12, 2)
-][:3]
+][-3:-2]
 
 aux.integrate_multi(k_models, 100_000)
 
@@ -72,7 +72,7 @@ ensmeble_arg = dict(
 
 plot_interaction_consistency(
       k_models,
-      # alt_tol_models[0],
+      k_models[-1],
       label_fn=lambda m: fr"k=${m.k_max}$",
       **ensmeble_arg
   )