feat(skore-hub-project): Thread the compute of report metrics

[thomass-dev]

Partially addresses #2140, part of the reduce put time task.

---

Thread the compute of the metrics of a report, and:

• Add a skinned progress-bar tracking the compute of the metrics of the report,
• Merge all metric tests into one parametrized test.
• Disambiguate the metric.value property: when metric.value was called, the computing was performed implicitly, now, metric.compute() must be called before explicitly.

[thomass-dev]

Extracted from #2114.

[github-actions]

Coverage Report for skore-hub-project/

File	Stmts	Miss	Cover	Missing
skore-hub-project/src/skore_hub_project
__init__.py	23	1	95%	40
protocol.py	41	0	100%
skore-hub-project/src/skore_hub_project/artifact
__init__.py	0	0	100%
artifact.py	23	0	100%
serializer.py	28	0	100%
upload.py	36	4	88%	175, 177–178, 180
skore-hub-project/src/skore_hub_project/artifact/media
__init__.py	5	0	100%
data.py	22	0	100%
feature_importance.py	45	1	97%	53
media.py	10	0	100%
model.py	10	0	100%
performance.py	46	0	100%
skore-hub-project/src/skore_hub_project/artifact/pickle
__init__.py	2	0	100%
pickle.py	24	0	100%
skore-hub-project/src/skore_hub_project/authentication
__init__.py	0	0	100%
login.py	66	0	100%
logout.py	4	0	100%
token.py	24	0	100%
uri.py	20	0	100%
skore-hub-project/src/skore_hub_project/client
__init__.py	0	0	100%
client.py	64	0	100%
skore-hub-project/src/skore_hub_project/metric
__init__.py	10	0	100%
accuracy.py	35	0	100%
brier_score.py	35	0	100%
log_loss.py	35	0	100%
metric.py	55	4	92%	38, 77–78, 84
precision.py	53	0	100%
r2.py	35	0	100%
recall.py	55	0	100%
rmse.py	35	0	100%
roc_auc.py	35	0	100%
timing.py	76	4	94%	45–46, 104–105
skore-hub-project/src/skore_hub_project/project
__init__.py	0	0	100%
project.py	105	3	97%	226, 307, 337
skore-hub-project/src/skore_hub_project/report
__init__.py	3	0	100%
cross_validation_report.py	61	2	96%	157–158
estimator_report.py	10	0	100%
report.py	57	0	100%
TOTAL	1188	19	98%

Tests	Skipped	Failures	Errors	Time
234	0 💤	0 ❌	0 🔥	1m 16s ⏱️

[rouk1]

Looks good to me LGTM thanks.