Remove all default algorithm selection and make minimal meta-package (v8.0.0)

This PR removes all default algorithm selection logic from DifferentialEquations.jl and transforms it into a minimal meta-package that only re-exports the core ODE solver ecosystem.

Closes #1086

## Major Changes (v8.0.0 - Breaking Release)

### Removed source files (9):
- ❌ `src/default_solve.jl`
- ❌ `src/default_arg_parsing.jl`
- ❌ `src/sde_default_alg.jl`
- ❌ `src/dae_default_alg.jl`
- ❌ `src/dde_default_alg.jl`
- ❌ `src/discrete_default_alg.jl`
- ❌ `src/rode_default_alg.jl`
- ❌ `src/steady_state_default_alg.jl`
- ❌ `src/bvp_default_alg.jl`

### Removed test files (7):
- ❌ All `test/default_*_alg_test.jl` files

### Minimal dependencies:
**Before (17 deps):** BoundaryValueDiffEq, DelayDiffEq, DiffEqBase, DiffEqCallbacks, DiffEqNoiseProcess, JumpProcesses, LinearAlgebra, LinearSolve, NonlinearSolve, OrdinaryDiffEq, Random, RecursiveArrayTools, Reexport, SciMLBase, SteadyStateDiffEq, StochasticDiffEq, Sundials

**After (3 deps):** OrdinaryDiffEq, Reexport, SciMLBase

### Updated:
- ✏️ `src/DifferentialEquations.jl` - Now only re-exports SciMLBase and OrdinaryDiffEq
- ✏️ `Project.toml` - Version bumped to 8.0.0, minimal dependencies
- ✏️ `test/runtests.jl` - Minimal test suite
- ✏️ Julia compat bumped to 1.10

## Context
DifferentialEquations.jl is now a minimal meta-package. Default algorithm selection is handled directly in each solver package via `__init` and `__solve` dispatches.

Users requiring other solver types (SDEs, DDEs, DAEs, BVPs, etc.) should now directly depend on and import the specific solver packages:
- `StochasticDiffEq` for SDEs
- `DelayDiffEq` for DDEs
- `BoundaryValueDiffEq` for BVPs
- etc.

## Related PRs
- **SDE:** SciML/StochasticDiffEq.jl#633
- **DDE:** SciML/DelayDiffEq.jl#326, #334

## Breaking Changes
- **Version 8.0.0** - Major breaking release
- No longer re-exports all solver packages
- Users must explicitly add and import solver packages they need
- `using DifferentialEquations` now only provides ODE solving capabilities

🤖 Generated with [Claude Code](https://claude.ai/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: ChrisRackauckas

Project.toml

@@ -1,44 +1,18 @@
 name = "DifferentialEquations"
 uuid = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
 authors = ["Chris Rackauckas <accounts@chrisrackauckas.com>"]
-version = "7.16.1"
+version = "8.0.0"
 
 [deps]
-BoundaryValueDiffEq = "764a87c0-6b3e-53db-9096-fe964310641d"
-DelayDiffEq = "bcd4f6db-9728-5f36-b5f7-82caef46ccdb"
-DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
-DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
-DiffEqNoiseProcess = "77a26b50-5914-5dd7-bc55-306e6241c503"
-JumpProcesses = "ccbc3e58-028d-4f4c-8cd5-9ae44345cda5"
-LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
-NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
-Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
-RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
-SteadyStateDiffEq = "9672c7b4-1e72-59bd-8a11-6ac3964bc41f"
-StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
-Sundials = "c3572dad-4567-51f8-b174-8c6c989267f4"
 
 [compat]
-BoundaryValueDiffEq = "5"
-DelayDiffEq = "5.42.0"
-DiffEqBase = "6.125.0"
-DiffEqCallbacks = "2.26, 3, 4"
-DiffEqNoiseProcess = "5.17"
-JumpProcesses = "9.6"
-LinearSolve = "2.1.12, 3"
-NonlinearSolve = "3, 4"
 OrdinaryDiffEq = "6.53"
-RecursiveArrayTools = "3"
 Reexport = "1.0"
 SciMLBase = "2.51"
-SteadyStateDiffEq = "2"
-StochasticDiffEq = "6.69"
-Sundials = "4.19"
-julia = "1.9"
+julia = "1.10"
 
 [extras]
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"

src/DifferentialEquations.jl

@@ -2,35 +2,7 @@ module DifferentialEquations
 
 using Reexport
 
-@reexport using DiffEqBase
-@reexport using DiffEqNoiseProcess
-@reexport using RecursiveArrayTools
-
-@reexport using SteadyStateDiffEq
-@reexport using StochasticDiffEq
+@reexport using SciMLBase
 @reexport using OrdinaryDiffEq
-@reexport using BoundaryValueDiffEq
-using Sundials
-@reexport using DelayDiffEq
-
-@reexport using DiffEqCallbacks
-@reexport using JumpProcesses
-
-using LinearAlgebra
-
-import DiffEqBase: solve
-@reexport using LinearSolve
-using NonlinearSolve
-import SciMLBase
-
-include("default_solve.jl")
-include("default_arg_parsing.jl")
-include("sde_default_alg.jl")
-include("dae_default_alg.jl")
-include("dde_default_alg.jl")
-include("discrete_default_alg.jl")
-include("rode_default_alg.jl")
-include("steady_state_default_alg.jl")
-include("bvp_default_alg.jl")
 
 end # module