mirror of
https://github.com/vale981/master-thesis
synced 2025-03-05 10:01:43 -05:00
update to match the conditions of the paper even more closely
This commit is contained in:
parent
d4b2c3df87
commit
69ae5b6508
3 changed files with 101 additions and 185 deletions
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@ -15,7 +15,7 @@ import plot_utils as pu
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import ray
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ray.shutdown()
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ray.init()
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ray.init(address="auto")
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from hops.util.logging_setup import logging_setup
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import logging
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@ -28,7 +28,7 @@ def anti_zeno_engine(
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ω_0=6,
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ε=1e-3,
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ε_couple=1 / 2,
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n=6,
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n=4,
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cycle_scale=1,
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switch_cycles=3,
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detune=0,
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@ -216,14 +216,14 @@ def anti_zeno_engine(
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) = anti_zeno_engine(
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Δ=11,
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ε=1,#.1,
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ω_c=2,
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ω_c=1,
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ε_couple=0.7,
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n=12,
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n=6,
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detune=.5,
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ω_0=20,
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T_c=1e3,
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T_h=1e4,
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δ=[3.2*.01, 1*.01],
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δ=[3.2*.01/4, 1*.01/4],
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γ=.2,
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switch_cycles=1,
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therm_initial_state=False,
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@ -232,7 +232,7 @@ def anti_zeno_engine(
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dt=0.01,
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sp_tol=1e-3,
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)
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model.k_max = 3
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model.k_max = 4
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# model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1])
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fs.tex_value(
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@ -289,7 +289,7 @@ vs = np.linspace(0.1, 10, 100)
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plt.plot(vs, chi(vs, ω_0))
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plt.plot(vs, G_h(vs))
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aux.integrate(model, 10000)
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aux.integrate(model, 10_000)
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#_, ax = pu.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05))
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@ -340,7 +340,8 @@ ts_end = model.t[ind_end]
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# #plt.plot(model.t, model.L[0].operator_norm(model.t))
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with aux.get_data(model) as data:
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tot_power = (model.total_power(data).sum_baths()) #model.total_energy(data).value
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tot_power = (model.total_power(data).sum_baths())
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#model.total_energy(data).value
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fig, ax = plt.subplots()
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@ -364,7 +365,7 @@ for begin, end in zip(ind_begin, ind_end):
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(tot_power.slice(begin, end)).mean
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)
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steady_index = 3
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steady_index = 4
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power = sum(powers[steady_index:]) * (1/(len(powers[steady_index:])))
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ax.set_ylabel(r"$\langle{P}\rangle$")
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@ -23,11 +23,11 @@ Init ray and silence stocproc.
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#+begin_src jupyter-python
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import ray
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ray.shutdown()
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ray.init()
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ray.init(address="auto")
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#+end_src
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#+RESULTS:
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: RayContext(dashboard_url='', python_version='3.9.13', ray_version='1.13.0', ray_commit='e4ce38d001dbbe09cd21c497fedd03d692b2be3e', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-07-25_22-00-30_945686_3162741', 'metrics_export_port': 57398, 'gcs_address': '141.30.17.225:47171', 'address': '141.30.17.225:47171', 'node_id': 'ec35f16714019c3e897b7d2e14e60586716f2ef0d72e3c5085510348'})
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: RayContext(dashboard_url='', python_version='3.9.13', ray_version='1.13.0', ray_commit='e4ce38d001dbbe09cd21c497fedd03d692b2be3e', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-08-03_09-59-55_317090_64892', 'metrics_export_port': 59703, 'gcs_address': '141.30.17.225:63911', 'address': '141.30.17.225:63911', 'node_id': 'd51bbc6a92fec03d9021b1ec19988257443d0d4044aa19eeae5f2c63'})
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#+begin_src jupyter-python :results none
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from hops.util.logging_setup import logging_setup
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@ -44,7 +44,7 @@ Init ray and silence stocproc.
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ω_0=6,
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ε=1e-3,
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ε_couple=1 / 2,
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n=6,
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n=4,
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cycle_scale=1,
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switch_cycles=3,
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detune=0,
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@ -235,14 +235,14 @@ Init ray and silence stocproc.
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) = anti_zeno_engine(
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Δ=11,
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ε=1,#.1,
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ω_c=2,
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ω_c=1,
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ε_couple=0.7,
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n=12,
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n=6,
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detune=.5,
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ω_0=20,
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T_c=1e3,
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T_h=1e4,
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δ=[3.2*.01, 1*.01],
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δ=[3.2*.01/4, 1*.01/4],
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γ=.2,
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switch_cycles=1,
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therm_initial_state=False,
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@ -251,7 +251,7 @@ Init ray and silence stocproc.
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dt=0.01,
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sp_tol=1e-3,
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)
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model.k_max = 3
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model.k_max = 4
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# model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1])
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fs.tex_value(
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@ -297,14 +297,14 @@ Let's test the assumptions of the paper.
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#+end_src
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#+RESULTS:
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: 5
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: 9
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** BCFs and Modulations
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#+begin_src jupyter-python :tangle nil
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def thermal_bcf(t):
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return model.bcf(1)(t) + 2 * (model.thermal_correlations(1)(t).real)
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plt.clf()
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#plt.plot(model.t, np.abs(thermal_bcf(model.t))/np.abs(thermal_bcf(0)), alpha=.5, zorder=5, label="BCF (cold bath)")
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#plt.plot(model.t, abs(model.bcf(0)(model.t)) / abs(model.bcf(0)(model.t)).max(), linewidth=1)
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plt.plot(model.t, model.L[0].operator_norm(model.t), linewidth=1, label=r"$||L||$")
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@ -317,8 +317,8 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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: <matplotlib.legend.Legend at 0x7f4fc253ab80>
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[[file:./.ob-jupyter/4b60e04c9426dcd4913627aceeac9e9adf55989f.svg]]
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: <matplotlib.legend.Legend at 0x7fac5f982940>
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[[file:./.ob-jupyter/b47aa544d9c7f47dacdbf23b0b1f48afbd5cdf2f.svg]]
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:END:
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#+begin_src jupyter-python :tangle nil
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@ -331,7 +331,7 @@ Let's test the assumptions of the paper.
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)
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mx = (total_sd(1, ωs)).max()
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mx = 1#(total_sd(1, ωs)).max()
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plt.clf()
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plt.plot(
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@ -368,7 +368,7 @@ Let's test the assumptions of the paper.
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#+end_src
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#+RESULTS:
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[[file:./.ob-jupyter/df1bb49b2d831b72f47fb1276f1abd8782708179.svg]]
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[[file:./.ob-jupyter/8f4d17868a90f115a61a45574a41dbb4c56091ad.svg]]
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#+begin_src jupyter-python
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ts = np.linspace(0,50,1000)
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@ -378,9 +378,9 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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| <Figure | size | 432x288 | with | 1 | Axes> | <AxesSubplot:> |
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[[file:./.ob-jupyter/fb29a999f1e1de740de4032f57ab31d19c605398.svg]]
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[[file:./.ob-jupyter/6bf5c5d63ea0269db05193940e43ce7493b3258d.svg]]
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| <Figure | size | 640x440 | with | 1 | Axes> | <AxesSubplot:> |
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[[file:./.ob-jupyter/61d035344452d20d66cc5b8615af143feb6308b7.svg]]
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[[file:./.ob-jupyter/b3c60455c8235c5efbf472a8b1c23d99a4e06a76.svg]]
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:END:
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#+begin_src jupyter-python
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@ -421,95 +421,9 @@ Let's test the assumptions of the paper.
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** Integration
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#+begin_src jupyter-python
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aux.integrate(model, 10000)
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aux.integrate(model, 10_000)
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#+End_src
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#+RESULTS:
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:RESULTS:
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#+begin_example
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[INFO hops.core.integration 241007] Choosing the nonlinear integrator.
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[INFO hops.core.integration 241007] Using 21 integrators.
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[INFO hops.core.integration 241007] Some 9900 trajectories have to be integrated.
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[INFO hops.core.integration 241007] Using 165 hierarchy states.
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5% 447/9900 [1:25:29<30:08:06, 11.48s/it][INFO hops.core.signal_delay 241007] caught sig 'SIGINT'
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5% 448/9900 [1:25:35<30:05:43, 11.46s/it]
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2022-07-20 18:22:31,404 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,406 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,408 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,411 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,413 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,416 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,417 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,420 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,422 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,423 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,425 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,426 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,428 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,430 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,431 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,432 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,434 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,437 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,441 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,445 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 18:22:31,446 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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[INFO hops.core.signal_delay 241007] caught 1 signal(s)
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[INFO hops.core.signal_delay 241007] emit signal 'SIGINT'
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#+end_example
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# [goto error]
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#+begin_example
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mKeyboardInterrupt[0m Traceback (most recent call last)
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Input [0;32mIn [33][0m, in [0;36m<cell line: 1>[0;34m()[0m
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[0;32m----> 1[0m [43maux[49m[38;5;241;43m.[39;49m[43mintegrate[49m[43m([49m[43mmodel[49m[43m,[49m[43m [49m[38;5;241;43m10000[39;49m[43m)[49m
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File [0;32m~/src/two_qubit_model/hiro_models/model_auxiliary.py:108[0m, in [0;36mintegrate[0;34m(model, n, data_path, clear_pd)[0m
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[1;32m 98[0m [38;5;66;03m# with model_db(data_path) as db:[39;00m
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[1;32m 99[0m [38;5;66;03m# if hash in db and "data" db[hash][39;00m
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[1;32m 101[0m supervisor [38;5;241m=[39m HOPSSupervisor(
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[1;32m 102[0m model[38;5;241m.[39mhops_config,
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[1;32m 103[0m n,
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[1;32m 104[0m data_path[38;5;241m=[39mdata_path,
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[1;32m 106[0m )
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[0;32m--> 108[0m [43msupervisor[49m[38;5;241;43m.[39;49m[43mintegrate[49m[43m([49m[43mclear_pd[49m[43m)[49m
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[1;32m 110[0m [38;5;28;01mwith[39;00m supervisor[38;5;241m.[39mget_data([38;5;28;01mTrue[39;00m) [38;5;28;01mas[39;00m data:
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[1;32m 111[0m [38;5;28;01mwith[39;00m model_db(data_path) [38;5;28;01mas[39;00m db:
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File [0;32m~/src/hops/hops/core/integration.py:1288[0m, in [0;36mHOPSSupervisor.integrate[0;34m(self, clear_pd)[0m
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[1;32m 1285[0m [38;5;28;01mbreak[39;00m
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[1;32m 1287[0m integration[38;5;241m.[39mupdate()
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[0;32m-> 1288[0m data[38;5;241m.[39mnew_samples(
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[1;32m 1289[0m idx[38;5;241m=[39mindex,
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[1;32m 1290[0m incomplete[38;5;241m=[39mincomplete,
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[1;32m 1291[0m psi0[38;5;241m=[39mpsi0,
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[1;32m 1292[0m aux_states[38;5;241m=[39maux_states,
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[1;32m 1293[0m stoc_proc[38;5;241m=[39mstoc_proc,
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[1;32m 1294[0m result_type[38;5;241m=[39m[38;5;28mself[39m[38;5;241m.[39mparams[38;5;241m.[39mHiP[38;5;241m.[39mresult_type,
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[1;32m 1295[0m normed[38;5;241m=[39m[38;5;28mself[39m[38;5;241m.[39m_normed_average,
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[1;32m 1296[0m rng_seed[38;5;241m=[39mseed,
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[1;32m 1297[0m )
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File [0;32m~/src/hops/hops/core/signal_delay.py:87[0m, in [0;36msig_delay.__exit__[0;34m(self, exc_type, exc_val, exc_tb)[0m
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[1;32m 84[0m [38;5;28;01mif[39;00m [38;5;28mlen[39m([38;5;28mself[39m[38;5;241m.[39msigh[38;5;241m.[39msigs_caught) [38;5;241m>[39m [38;5;241m0[39m [38;5;129;01mand[39;00m [38;5;28mself[39m[38;5;241m.[39mhandler [38;5;129;01mis[39;00m [38;5;129;01mnot[39;00m [38;5;28;01mNone[39;00m:
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[1;32m 85[0m [38;5;28mself[39m[38;5;241m.[39mhandler([38;5;28mself[39m[38;5;241m.[39msigh[38;5;241m.[39msigs_caught)
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[0;32m---> 87[0m [38;5;28;43mself[39;49m[38;5;241;43m.[39;49m[43m_restore[49m[43m([49m[43m)[49m
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File [0;32m~/src/hops/hops/core/signal_delay.py:68[0m, in [0;36msig_delay._restore[0;34m(self)[0m
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[1;32m 66[0m [38;5;28;01mfor[39;00m i, s [38;5;129;01min[39;00m [38;5;28menumerate[39m([38;5;28mself[39m[38;5;241m.[39msigs):
|
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[1;32m 67[0m signal[38;5;241m.[39msignal(s, [38;5;28mself[39m[38;5;241m.[39mold_handlers[i])
|
||||
[0;32m---> 68[0m [38;5;28;43mself[39;49m[38;5;241;43m.[39;49m[43msigh[49m[38;5;241;43m.[39;49m[43memit[49m[43m([49m[43m)[49m
|
||||
|
||||
File [0;32m~/src/hops/hops/core/signal_delay.py:42[0m, in [0;36mSigHandler.emit[0;34m(self)[0m
|
||||
[1;32m 40[0m [38;5;28;01mfor[39;00m s [38;5;129;01min[39;00m [38;5;28mself[39m[38;5;241m.[39msigs_caught:
|
||||
[1;32m 41[0m log[38;5;241m.[39minfo([38;5;124m"[39m[38;5;124memit signal [39m[38;5;124m'[39m[38;5;132;01m{}[39;00m[38;5;124m'[39m[38;5;124m"[39m[38;5;241m.[39mformat(SIG_MAP[s]))
|
||||
[0;32m---> 42[0m [43mos[49m[38;5;241;43m.[39;49m[43mkill[49m[43m([49m[43mos[49m[38;5;241;43m.[39;49m[43mgetpid[49m[43m([49m[43m)[49m[43m,[49m[43m [49m[43ms[49m[43m)[49m
|
||||
|
||||
[0;31mKeyboardInterrupt[0m:
|
||||
#+end_example
|
||||
:END:
|
||||
|
||||
|
||||
#+Begin_src jupyter-python
|
||||
#_, ax = pu.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05))
|
||||
|
|
@ -523,7 +437,7 @@ Let's test the assumptions of the paper.
|
|||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
[[file:./.ob-jupyter/d3befbb9d1b11bcbd94eb7452b2dd9f4a0784f47.svg]]
|
||||
[[file:./.ob-jupyter/8d9958e16f95f9e97af490fbe7541838800a582e.svg]]
|
||||
|
||||
- **too fast decoupling kills it**
|
||||
- no anti-zeno effects without detuning?
|
||||
|
|
@ -550,17 +464,17 @@ Let's test the assumptions of the paper.
|
|||
|
||||
#+RESULTS:
|
||||
:RESULTS:
|
||||
: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1298: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1298: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: return np.asarray(x, float)
|
||||
: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5218: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5218: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[0] = start
|
||||
: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5219: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5219: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[N + 1] = end
|
||||
: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5222: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5222: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[1:N+1, 1] = dep1slice
|
||||
: /nix/store/akzgacnj2l97sldws5cnxjlgv27317xd-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5224: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: /nix/store/1vlyfg4vr0mvp6hrld7dspbis87s5xi6-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5224: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[N+2:, 1] = dep2slice[::-1]
|
||||
[[file:./.ob-jupyter/bdbfb7472f39f1754b44fa9362ea38cb2f328ee6.svg]]
|
||||
[[file:./.ob-jupyter/fe474d6c1cc00b9b1169d71fdec3d1d1691e431f.svg]]
|
||||
:END:
|
||||
|
||||
- no steady state ... but we have to average...
|
||||
|
|
@ -573,8 +487,8 @@ Let's test the assumptions of the paper.
|
|||
|
||||
#+RESULTS:
|
||||
:RESULTS:
|
||||
| <matplotlib.lines.Line2D | at | 0x7f4fc51c9fa0> |
|
||||
[[file:./.ob-jupyter/15866c10ff396d5cf845d81482f7a03a06763d03.svg]]
|
||||
| <matplotlib.lines.Line2D | at | 0x7fd03ff99d30> |
|
||||
[[file:./.ob-jupyter/57feac844f95147aaef335e1b40c46c92eb49804.svg]]
|
||||
:END:
|
||||
|
||||
** TODO Power and Efficiency
|
||||
|
|
@ -618,7 +532,8 @@ We need the time points where we sample the total energy.
|
|||
# #plt.plot(model.t, model.L[0].operator_norm(model.t))
|
||||
|
||||
with aux.get_data(model) as data:
|
||||
tot_power = (model.total_power(data).sum_baths()) #model.total_energy(data).value
|
||||
tot_power = (model.total_power(data).sum_baths())
|
||||
#model.total_energy(data).value
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
|
|
@ -647,7 +562,7 @@ We need the time points where we sample the total energy.
|
|||
(tot_power.slice(begin, end)).mean
|
||||
)
|
||||
|
||||
steady_index = 3
|
||||
steady_index = 4
|
||||
power = sum(powers[steady_index:]) * (1/(len(powers[steady_index:])))
|
||||
|
||||
ax.set_ylabel(r"$\langle{P}\rangle$")
|
||||
|
|
@ -665,8 +580,8 @@ We need the time points where we sample the total energy.
|
|||
|
||||
#+RESULTS:
|
||||
:RESULTS:
|
||||
: \(P=0.0101\pm 0.0027\)
|
||||
[[file:./.ob-jupyter/e508f485cb6d1f43d160d67d409ac40986c810da.svg]]
|
||||
: \(P=-6.1\pm 1.0\)
|
||||
[[file:./.ob-jupyter/337698d3218a46a265d55f8efcdc3f4f477aeed1.svg]]
|
||||
:END:
|
||||
|
||||
|
||||
|
|
|
|||
120
python/energy_flow_proper/10_antizeno_engine/poetry.lock
generated
120
python/energy_flow_proper/10_antizeno_engine/poetry.lock
generated
|
|
@ -392,7 +392,7 @@ woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
|
|||
|
||||
[[package]]
|
||||
name = "frozenlist"
|
||||
version = "1.3.0"
|
||||
version = "1.3.1"
|
||||
description = "A list-like structure which implements collections.abc.MutableSequence"
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1974,65 +1974,65 @@ fonttools = [
|
|||
{file = "fonttools-4.34.4.zip", hash = "sha256:9a1c52488045cd6c6491fd07711a380f932466e317cb8e016fc4e99dc7eac2f0"},
|
||||
]
|
||||
frozenlist = [
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2257aaba9660f78c7b1d8fea963b68f3feffb1a9d5d05a18401ca9eb3e8d0a3"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4a44ebbf601d7bac77976d429e9bdb5a4614f9f4027777f9e54fd765196e9d3b"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:45334234ec30fc4ea677f43171b18a27505bfb2dba9aca4398a62692c0ea8868"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47be22dc27ed933d55ee55845d34a3e4e9f6fee93039e7f8ebadb0c2f60d403f"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03a7dd1bfce30216a3f51a84e6dd0e4a573d23ca50f0346634916ff105ba6e6b"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:691ddf6dc50480ce49f68441f1d16a4c3325887453837036e0fb94736eae1e58"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bde99812f237f79eaf3f04ebffd74f6718bbd216101b35ac7955c2d47c17da02"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a202458d1298ced3768f5a7d44301e7c86defac162ace0ab7434c2e961166e8"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b9e3e9e365991f8cc5f5edc1fd65b58b41d0514a6a7ad95ef5c7f34eb49b3d3e"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:04cb491c4b1c051734d41ea2552fde292f5f3a9c911363f74f39c23659c4af78"},
|
||||
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|
||||
{file = "frozenlist-1.3.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:754728d65f1acc61e0f4df784456106e35afb7bf39cfe37227ab00436fb38676"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6eb275c6385dd72594758cbe96c07cdb9bd6becf84235f4a594bdf21e3596c9d"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-win32.whl", hash = "sha256:e30b2f9683812eb30cf3f0a8e9f79f8d590a7999f731cf39f9105a7c4a39489d"},
|
||||
{file = "frozenlist-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:f7353ba3367473d1d616ee727945f439e027f0bb16ac1a750219a8344d1d5d3c"},
|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:88aafd445a233dbbf8a65a62bc3249a0acd0d81ab18f6feb461cc5a938610d24"},
|
||||
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|
||||
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|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:603b9091bd70fae7be28bdb8aa5c9990f4241aa33abb673390a7f7329296695f"},
|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:25af28b560e0c76fa41f550eacb389905633e7ac02d6eb3c09017fa1c8cdfde1"},
|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94c7a8a9fc9383b52c410a2ec952521906d355d18fccc927fca52ab575ee8b93"},
|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:65bc6e2fece04e2145ab6e3c47428d1bbc05aede61ae365b2c1bddd94906e478"},
|
||||
{file = "frozenlist-1.3.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:3f7c935c7b58b0d78c0beea0c7358e165f95f1fd8a7e98baa40d22a05b4a8141"},
|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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{file = "frozenlist-1.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:625d8472c67f2d96f9a4302a947f92a7adbc1e20bedb6aff8dbc8ff039ca6189"},
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{file = "frozenlist-1.3.1.tar.gz", hash = "sha256:3a735e4211a04ccfa3f4833547acdf5d2f863bfeb01cfd3edaffbc251f15cec8"},
|
||||
]
|
||||
future = [
|
||||
{file = "future-0.18.2.tar.gz", hash = "sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"},
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue