[FIX] add n_jobs parameter

[jdkent]

Closes # .

Changes proposed in this pull request:

Summary by Sourcery

New Features:

• Expose an n_jobs parameter on PermutedOLS to control parallel execution of the underlying permutation test.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Adds an n_jobs parameter to the PermutedOLS IBMA estimator and threads it through to the underlying permuted_ols model fitting call, enabling configurable parallelism instead of a hard-coded single job.

Class diagram for updated PermutedOLS IBMA estimator

classDiagram
    class IBMAEstimator

    class PermutedOLS {
        +bool two_sided
        +int n_jobs
        +dict parameters_
        +__init__(two_sided, n_jobs, kwargs)
        +_generate_description()
        +_fit_model(beta_maps, n_perm)
    }

    PermutedOLS --|> IBMAEstimator

Loading

File-Level Changes

Change	Details	Files
Expose a configurable n_jobs parameter on the PermutedOLS estimator and use it when calling permuted_ols to control parallelism.	Extend PermutedOLS.init signature to accept an n_jobs argument with default 1. Store the provided n_jobs value on the instance during initialization. Replace the hard-coded n_jobs=1 argument in _fit_model with the instance’s n_jobs attribute when calling permuted_ols.	nimare/meta/ibma.py

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[sourcery-ai]

Hey - I've left some high level feedback:

• Consider adding basic validation or normalization for n_jobs (e.g., handling None, -1, or non-positive values) before passing it through to permuted_ols to avoid surprising runtime errors.
• Since n_jobs is now a first-class estimator parameter, ensure it is consistently surfaced wherever estimator parameters are inspected or serialized (e.g., get_params/set_params or any internal config dicts) so it behaves like the existing options.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- Consider adding basic validation or normalization for `n_jobs` (e.g., handling `None`, `-1`, or non-positive values) before passing it through to `permuted_ols` to avoid surprising runtime errors.
- Since `n_jobs` is now a first-class estimator parameter, ensure it is consistently surfaced wherever estimator parameters are inspected or serialized (e.g., `get_params`/`set_params` or any internal config dicts) so it behaves like the existing options.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 88.27%. Comparing base (db37ecb) to head (fc3e705).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #962      +/-   ##
==========================================
+ Coverage   88.26%   88.27%   +0.01%     
==========================================
  Files          49       49              
  Lines        6926     6994      +68     
==========================================
+ Hits         6113     6174      +61     
- Misses        813      820       +7     

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