chore: Update diffsol requirement from =0.8.0 to =0.10.4

[dependabot]

Updates the requirements on diffsol to permit the latest version.

Release notes

Sourced from diffsol's releases.

v0.10.4

What's Changed

• refactor: remove DefaultSolver bound from solve_dense_sensitivities by @​martinjrobins in martinjrobins/diffsol#243
• fix: add diffsl-external-f64 and diffsl-external-f32 features by @​martinjrobins in martinjrobins/diffsol#244

Full Changelog: martinjrobins/diffsol@v0.10.3...v0.10.4

Commits

• 76f929d fix: add diffsl-external-f64 and diffsl-external-f32 features (#244)
• 02e2dd1 refactor: remove DefaultSolver bound from solve_dense_sensitivities (#243)
• 776c790 version 0.10.3
• 9431f36 doc: correct dataset and improved docs for neural ode example (#235)
• 9d0e3dd version 0.10.2
• 6e4cd19 fix: update diffsl, make sure dense_solve writes out all t_eval before root (...
• 3ed7adc dep: update diffsl 0.9.0 (#238)
• e575b26 perf: avoid Jacobian resets for start/endpoint checkpoints (#237)
• df915d6 feat: add nonlinear solver tolerance and timestep growth/shrink user configur...
• a88856e doc: update version num in readme
• Additional commits viewable in compare view

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[mhovd]

This requires a new release of rand-distr, which seems to be in the works.
rust-random/rand_distr#50

[github-actions]

Bencher Report

Branch	dependabot/cargo/diffsol-eq-0.10.4
Testbed	mhovd-pgx

Click to view all benchmark results

Benchmark	Latency	Benchmark Result nanoseconds (ns) (Result Δ%)	Upper Boundary nanoseconds (ns) (Limit %)
Analytical vs ODE/One-compartment IV/Analytical	📈 view plot 🚷 view threshold	833.55 ns (-2.46%) Baseline: 854.59 ns	983.98 ns (84.71%)
Analytical vs ODE/One-compartment IV/ODE	📈 view plot 🚷 view threshold	18,785.00 ns (+4.46%) Baseline: 17,983.00 ns	20,118.81 ns (93.37%)
Analytical vs ODE/One-compartment oral/Analytical	📈 view plot 🚷 view threshold	854.18 ns (+0.09%) Baseline: 853.39 ns	1,026.44 ns (83.22%)
Analytical vs ODE/One-compartment oral/ODE	📈 view plot 🚷 view threshold	27,012.00 ns (+3.42%) Baseline: 26,117.75 ns	28,521.95 ns (94.71%)
Analytical vs ODE/Two-compartment IV/Analytical	📈 view plot 🚷 view threshold	879.81 ns (-5.14%) Baseline: 927.53 ns	1,094.46 ns (80.39%)
Analytical vs ODE/Two-compartment IV/ODE	📈 view plot 🚷 view threshold	28,288.00 ns (+5.64%) Baseline: 26,777.00 ns	30,756.84 ns (91.97%)
Analytical vs ODE/Two-compartment oral/Analytical	📈 view plot 🚷 view threshold	980.06 ns (-0.71%) Baseline: 987.06 ns	1,161.81 ns (84.36%)
Analytical vs ODE/Two-compartment oral/ODE	📈 view plot 🚷 view threshold	31,242.00 ns (+4.74%) Baseline: 29,827.25 ns	33,666.53 ns (92.80%)
Conditional dose modification	📈 view plot 🚷 view threshold	1,178.20 ns (-1.09%) Baseline: 1,191.15 ns	1,232.29 ns (95.61%)
Create large dataset (100 subjects)	📈 view plot 🚷 view threshold	53,906.00 ns (+0.16%) Baseline: 53,818.75 ns	54,442.70 ns (99.01%)
Data expand complex (1h intervals)	📈 view plot 🚷 view threshold	28,493.00 ns (+2.77%) Baseline: 27,724.75 ns	30,356.80 ns (93.86%)
Data expand simple (1h intervals)	📈 view plot 🚷 view threshold	486.85 ns (-0.02%) Baseline: 486.97 ns	502.97 ns (96.79%)
Data expand with additional time	📈 view plot 🚷 view threshold	38,634.00 ns (+1.02%) Baseline: 38,245.75 ns	40,488.61 ns (95.42%)
Filter exclude subjects	📈 view plot 🚷 view threshold	30,729.00 ns (-0.91%) Baseline: 31,012.50 ns	31,872.09 ns (96.41%)
Filter include subjects	📈 view plot 🚷 view threshold	7,884.20 ns (-0.64%) Baseline: 7,935.05 ns	8,364.01 ns (94.26%)
Modify all bolus doses	📈 view plot 🚷 view threshold	1,172.20 ns (+0.57%) Baseline: 1,165.55 ns	1,184.50 ns (98.96%)
Modify all infusion doses	📈 view plot 🚷 view threshold	1,226.90 ns (+1.10%) Baseline: 1,213.53 ns	1,271.01 ns (96.53%)
SubjectBuilder multi-occasion	📈 view plot 🚷 view threshold	259.54 ns (-0.45%) Baseline: 260.70 ns	264.40 ns (98.16%)
SubjectBuilder simple	📈 view plot 🚷 view threshold	103.42 ns (-0.04%) Baseline: 103.46 ns	104.71 ns (98.76%)
SubjectBuilder with covariates	📈 view plot 🚷 view threshold	271.15 ns (+0.14%) Baseline: 270.76 ns	273.50 ns (99.14%)
one_compartment	📈 view plot 🚷 view threshold	22,990.00 ns (+11.99%) Baseline: 20,528.50 ns	27,001.03 ns (85.14%)
one_compartment_covariates	📈 view plot 🚷 view threshold	29,434.00 ns (+8.56%) Baseline: 27,112.50 ns	33,594.80 ns (87.61%)
readme 20	📈 view plot 🚷 view threshold	332,490.00 ns (+6.44%) Baseline: 312,365.00 ns	368,305.14 ns (90.28%)
two_compartment	📈 view plot 🚷 view threshold	24,725.00 ns (+9.60%) Baseline: 22,560.00 ns	28,250.66 ns (87.52%)

🐰 View full continuous benchmarking report in Bencher

[mhovd]

@Siel, I will leave this one for you to decide when to merge.
Note that I updated the relative tolerance from 1E-3 to 1E-2, i.e. from 1/1000th to 1/100th relative error, which I think is OK and flexible enough.