def get_export_variants(self) -> Sequence[ExportVariant]:
return [
ExportVariant(
name='Summary',
column_names=(
'subject',
'garp',
'sarp',
'warp_strict',
'warp_nonstrict',
'hm_garp_lower',
'hm_garp_upper',
'hm_sarp_lower',
'hm_sarp_upper',
'hm_warp_strict_lower',
'hm_warp_strict_upper',
'hm_warp_nonstrict_lower',
'hm_warp_nonstrict_upper',
),
get_rows=self.export_summary,
size=len(self.subjects),
),
ExportVariant(
name='Violations by cycle length',
column_names=('subject', 'cycle_length', 'garp', 'sarp'),
get_rows=self.export_breakdown,
size=len(self.subjects),
),
]
def get_export_variants(self) -> Sequence[ExportVariant]:
return (ExportVariant(
name='Detailed',
column_names=('subject', 'menu', 'default', 'choice'),
get_rows=self.export_detailed,
size=len(self.subjects),
), )
def get_export_variants(self) -> Sequence[ExportVariant]:
return (
ExportVariant(
name='Compact (human-friendly)',
column_names=('subject', 'dist_score', 'model', 'instances'),
get_rows=self.export_compact,
size=len(self.subjects),
),
ExportVariant(
name='Detailed (machine-friendly)',
column_names=('subject', 'dist_score',
'dist_score_upper_bound', 'model', 'instance'),
get_rows=self.export_detailed,
size=len(self.subjects),
),
)
def get_export_variants(self) -> Sequence[ExportVariant]:
return (ExportVariant(
name='Detailed',
column_names=(
'subject',
'tuple_length',
'menus',
),
get_rows=self.export_detailed,
size=len(self.subjects),
), )
def get_export_variants(self) -> Sequence[ExportVariant]:
return (ExportVariant(
name='Detailed',
column_names=(
'subject',
'observations',
'active_choices',
'deferrals',
),
get_rows=self.export_detailed,
size=len(self.subjects),
), )
def get_export_variants(self) -> Sequence[ExportVariant]:
return (
ExportVariant(
name='Summary',
column_names=(
'subject',
'warp_pairs',
'warp_all',
'congruence',
'strict_general_cycles',
'binary_cycles',
'strict_binary_cycles',
),
get_rows=self.export_summary,
size=len(self.subjects),
),
ExportVariant(
name='WARP violations',
column_names=['subject', 'warp_pairs', 'warp_all'],
get_rows=self.export_warp,
size=len(self.subjects),
),
ExportVariant(
name='Congruence violations (wide)',
column_names=['subject'] +
['cycles_%d' % l
for l in range(3, self.max_cycle_length + 1)] + ['total'],
get_rows=lambda: self.export_wide('garp'),
size=len(self.subjects),
),
ExportVariant(
name='Strict general cycles (wide)',
column_names=['subject'] +
['cycles_%d' % l
for l in range(3, self.max_cycle_length + 1)] + ['total'],
get_rows=lambda: self.export_wide('sarp'),
size=len(self.subjects),
),
ExportVariant(
name='Strict binary cycles (wide)',
column_names=['subject'] +
['cycles_%d' % l
for l in range(3, self.max_cycle_length + 1)] + ['total'],
get_rows=lambda: self.export_wide('sarp_binary_menus'),
size=len(self.subjects),
),
ExportVariant(
name='Binary cycles (wide)',
column_names=['subject'] +
['cycles_%d' % l
for l in range(3, self.max_cycle_length + 1)] + ['total'],
get_rows=lambda: self.export_wide('garp_binary_menus'),
size=len(self.subjects),
),
)
def get_export_variants(self) -> Sequence[ExportVariant]:
if not self.subjects:
return []
_n_observ, n_alts = self.subjects[0].prices.shape
return [
ExportVariant(
name='Detailed',
column_names=\
['subject'] \
+ [f'price{i+1}' for i in range(n_alts)] \
+ [f'quantity{i+1}' for i in range(n_alts)],
get_rows=self.export_detailed,
size=len(self.subjects),
),
]