fix(skore): Don't use the Summary widget in an IPython terminal

[FrancoisPgm]

Fixes #2070

Check if we're in an IPython terminal and if it is the case, use DataFrame's _repr_html_ instead of Summary's widget.

[thomass-dev]

My 2 cts: i don't like the fact that it fixes only the IPython context. For instance, it will not work if i amm in the python console.

I don't know if its feasible, but i would like to solve this in a general way: if the widget is displayable, display it.
Otherwise, fallback on Pandas representation. Wdyt ?

[github-actions]

Coverage Report for skore/

File	Stmts	Miss	Cover	Missing
skore/src/skore
__init__.py	23	0	100%
_config.py	31	0	100%
exceptions.py	4	4	0%	4, 15, 19, 23
skore/src/skore/_sklearn
__init__.py	6	0	100%
_base.py	198	14	92%	45, 58, 127, 130, 183, 186–187, 189–192, 225, 228–229
find_ml_task.py	61	0	100%
types.py	27	1	96%	28
skore/src/skore/_sklearn/_comparison
__init__.py	7	0	100%
feature_importance_accessor.py	39	2	94%	90, 109
metrics_accessor.py	178	3	98%	173, 253, 1215
report.py	107	0	100%
utils.py	54	0	100%
skore/src/skore/_sklearn/_cross_validation
__init__.py	9	0	100%
data_accessor.py	45	3	93%	134, 137, 140
feature_importance_accessor.py	24	0	100%
metrics_accessor.py	182	1	99%	244
report.py	135	1	99%	487
skore/src/skore/_sklearn/_estimator
__init__.py	9	0	100%
data_accessor.py	66	1	98%	82
feature_importance_accessor.py	144	2	98%	223–224
metrics_accessor.py	356	8	97%	200, 202, 209, 300, 369, 373, 388, 423
report.py	167	2	98%	448–449
skore/src/skore/_sklearn/_plot
__init__.py	3	0	100%
base.py	102	7	93%	61–62, 200, 224–226, 230
utils.py	77	0	100%
skore/src/skore/_sklearn/_plot/data
__init__.py	2	0	100%
table_report.py	185	1	99%	706
skore/src/skore/_sklearn/_plot/metrics
__init__.py	6	0	100%
confusion_matrix.py	70	4	94%	92, 100, 122, 230
feature_importance_display.py	67	21	68%	88, 121–122, 124, 142–146, 148–155, 158–160, 162
metrics_summary_display.py	8	0	100%
precision_recall_curve.py	280	5	98%	455, 555, 559, 619, 751
prediction_error.py	227	5	97%	179, 186, 422, 505, 705
roc_curve.py	292	8	97%	385, 508, 513, 614, 619, 623, 692, 832
skore/src/skore/_sklearn/train_test_split
__init__.py	0	0	100%
train_test_split.py	58	0	100%
skore/src/skore/_sklearn/train_test_split/warning
__init__.py	8	0	100%
high_class_imbalance_too_few_examples_warning.py	19	1	94%	83
high_class_imbalance_warning.py	20	0	100%
random_state_unset_warning.py	10	0	100%
shuffle_true_warning.py	9	0	100%
stratify_is_set_warning.py	10	0	100%
time_based_column_warning.py	21	0	100%
train_test_split_warning.py	3	0	100%
skore/src/skore/_utils
__init__.py	6	2	66%	8, 13
_accessor.py	90	3	96%	34, 146, 190
_environment.py	27	1	96%	40
_fixes.py	8	0	100%
_index.py	5	0	100%
_logger.py	22	4	81%	15–17, 19
_measure_time.py	10	0	100%
_parallel.py	38	3	92%	23, 33, 124
_patch.py	13	5	61%	21, 23–24, 35, 37
_progress_bar.py	46	0	100%
_repr_html.py	8	0	100%
_show_versions.py	38	0	100%
_testing.py	55	0	100%
skore/src/skore/project
__init__.py	2	0	100%
project.py	48	0	100%
summary.py	85	5	94%	120, 126, 214–216
widget.py	189	0	100%
TOTAL	4039	117	97%

Tests	Skipped	Failures	Errors	Time
1077	5 💤	0 ❌	0 🔥	4m 19s ⏱️

[github-actions]

Documentation preview @ 02be8c9

[FrancoisPgm]

For the regular python console, I do get the dataframe's repr and I believe this is because whats is used is __repr__ and not _repr_mimebundle_.
But I agree that this workaround is not fully satisfying.
After looking a bit more into the issue, I think the root of these display problems is that self._plot_widget.display() does not return the html of the widget but sends it to the stdout. So even if the formatter correctly selects another repr solution in the IPython terminal, the HTML of the widget get sent to the stdout as self._plot_widget.display() is called in the mimebundle dict.