Date	Model	Test Count	# Pass	# Fail	Win Rate	Hit Rate	% Perf
2025-07-03	00 Rolling CatBoost 3d PC 3% v2	148	61	87	41.22 %	55.41 %	63.46 %
2025-07-03	Binned CatBoost 3d PC 3% v2	96	46	50	47.92 %	62.50 %	89.40 %
2025-07-03	Rolling LGBM 3d PC 3% v2	148	61	87	41.22 %	55.41 %	63.46 %
2025-07-02	Rolling LGBM 3d PC 3% v2	141	82	59	58.16 %	65.25 %	4.82 %
2025-06-30	00 Rolling CatBoost 3d PC 3% v2	156	82	74	52.56 %	66.67 %	3.18 %
2025-06-30	Binned CatBoost 3d PC Platt 3% v2	113	58	55	51.33 %	62.83 %	2.54 %
2025-06-30	Rolling LGBM 3d PC 3% v2	156	82	74	52.56 %	66.67 %	3.18 %
2025-06-30	Rolling LGBM 3d PC 3% v1.1	201	71	130	35.32 %	57.21 %	5.43 %
2025-06-30	Rolling LGBM 3d PH Isotonic 3% v2	156	115	41	73.72 %	84.62 %	5.74 %
2025-06-27	00 Rolling CatBoost 3d PC 3% v2	145	48	97	33.10 %	42.76 %	-3.22 %
2025-06-27	Binned LGBM 3d PC 3% v2	86	36	50	41.86 %	48.84 %	-2.28 %
2025-06-27	Rolling CatBoost 3d PC Platt 3% v2	145	48	97	33.10 %	42.76 %	-3.22 %
2025-06-27	Rolling LGBM 3d PC 3% v1.1	173	36	137	20.81 %	37.57 %	-2.68 %
2025-06-26	00 Rolling CatBoost 3d PC 3% v2	152	65	87	42.76 %	55.92 %	-0.26 %
2025-06-26	Binned CatBoost 3d PC 3% v2	97	35	62	36.08 %	54.64 %	0.05 %
2025-06-26	Rolling LGBM 3d PC 3% v2	152	65	87	42.76 %	55.92 %	-0.26 %
2025-06-25	Binned LGBM 3d PC 3% v2	101	36	65	35.64 %	44.55 %	-0.62 %
2025-06-25	Rolling LGBM 3d PC 3% v3	158	61	97	38.61 %	48.73 %	0.52 %
2025-06-25	Rolling LGBM 3d PC Platt 3% v2	158	61	97	38.61 %	48.73 %	0.52 %
2025-06-25	Rolling LGBM 3d PH 3% v1.1	201	124	77	61.69 %	75.12 %	4.48 %
2025-06-24	Rolling CatBoost 3d PC Platt 3% v2	161	76	85	47.20 %	62.11 %	1.50 %
2025-06-24	Rolling LGBM 3d PC 3% v1.1	194	73	121	37.63 %	51.03 %	0.36 %
2025-06-24	Rolling LGBM 3d PC Platt 3% v2	161	76	85	47.20 %	62.11 %	1.50 %
2025-06-24	Rolling LGBM 3d PH 3% v1.1	194	146	48	75.26 %	85.57 %	5.73 %
2025-06-23	00 Rolling CatBoost 3d PC 3% v2	150	75	75	50.00 %	59.33 %	1.10 %
2025-06-23	Binned LGBM 3d PC 3% v2	174	88	86	50.57 %	56.90 %	0.43 %
2025-06-23	Rolling CatBoost 3d PC Platt 3% v2	150	75	75	50.00 %	59.33 %	1.10 %
2025-06-23	Rolling LGBM 3d PC 3% v2	150	75	75	50.00 %	59.33 %	1.10 %
2025-06-23	Rolling LGBM 3d PC 3% v1.1	181	83	98	45.86 %	62.43 %	1.59 %
2025-06-23	Rolling LGBM 3d PH 3% v1.1	181	139	42	76.80 %	86.19 %	5.53 %
2025-06-20	00 Rolling CatBoost 3d PC 3% v2	130	41	89	31.54 %	43.85 %	85.36 %
2025-06-20	Rolling LGBM 3d PC 3% v1.1	161	37	124	22.98 %	36.02 %	67.80 %
2025-06-20	Rolling LGBM 3d PC Platt 3% v2	130	41	89	31.54 %	43.85 %	85.36 %
2025-06-20	Rolling LGBM 3d PH 3% v1.1	161	80	81	49.69 %	65.84 %	64.91 %
2025-06-18	00 Rolling CatBoost 3d PC 3% v2	147	64	83	43.54 %	49.66 %	22.06 %
2025-06-18	Binned CatBoost 3d PC 3% v2	91	45	46	49.45 %	54.95 %	35.74 %
2025-06-18	Rolling LGBM 3d PC 3% v1.1	197	63	134	31.98 %	47.72 %	8.94 %
2025-06-17	Binned CatBoost 3d PC 3% v2	175	62	113	35.43 %	41.71 %	0.17 %
2025-06-17	Binned CatBoost 3d PC Isotonic 3% v2	175	62	113	35.43 %	41.71 %	0.17 %
2025-06-17	Rolling CatBoost 3d PC Platt 3% v2	145	42	103	28.97 %	39.31 %	-0.87 %
2025-06-17	Rolling LGBM 3d PC 3% v1.1	183	47	136	25.68 %	44.81 %	0.91 %
2025-06-17	Rolling LGBM 3d PH 3% v1.1	183	106	77	57.92 %	73.77 %	5.48 %
2025-06-16	Binned CatBoost 3d PC Platt 3% v2	108	48	60	44.44 %	55.56 %	7.89 %
2025-06-16	Rolling CatBoost 3d PC Platt 3% v2	134	60	74	44.78 %	53.73 %	6.03 %
2025-06-16	Rolling LGBM 3d PC 3% v2	134	60	74	44.78 %	53.73 %	6.03 %
2025-06-16	Rolling LGBM 3d PC 3% v1.1	160	55	105	34.38 %	47.50 %	0.41 %
2025-06-16	Rolling LGBM 3d PC Platt 3% v2	134	60	74	44.78 %	53.73 %	6.03 %
2025-06-16	Rolling LGBM 3d PH 3% v1.1	160	100	60	62.50 %	75.00 %	5.24 %
2025-06-13	Binned CatBoost 3d PC 3% v2	129	51	78	39.53 %	47.29 %	80.76 %
2025-06-13	Rolling LGBM 3d PC 3% v3	273	104	169	38.10 %	43.22 %	46.12 %
2025-06-13	Rolling LGBM 3d PC Platt 3% v2	273	104	169	38.10 %	43.22 %	46.12 %
2025-06-13	Rolling LGBM 3d PH 3% v1.1	353	234	119	66.29 %	73.94 %	35.72 %
2025-06-13	Rolling LGBM 3d PH 3% v3	273	178	95	65.20 %	72.89 %	47.42 %
2025-06-12	Binned CatBoost 3d PC 3% v2	70	28	42	40.00 %	55.71 %	1.55 %
2025-06-12	Binned CatBoost 3d PC 3% v3	70	28	42	40.00 %	55.71 %	1.55 %
2025-06-12	Binned CatBoost 3d PH 3% v3	70	40	30	57.14 %	68.57 %	4.72 %
2025-06-12	Rolling LGBM 3d PC 3% v1.1	133	28	105	21.05 %	33.83 %	-1.99 %
2025-06-12	Rolling LGBM 3d PH 3% v3	104	52	52	50.00 %	67.31 %	2.01 %
2025-06-11	Binned CatBoost 3d PC 3% v3	115	27	88	23.48 %	31.30 %	-5.03 %
2025-06-11	Binned CatBoost 3d PC 3% v3	115	27	88	23.48 %	31.30 %	-5.03 %
2025-06-11	Binned CatBoost 3d PC 3% v3	115	27	88	23.48 %	31.30 %	-5.03 %
2025-06-11	Binned CatBoost 3d PH 3% v3	115	66	49	57.39 %	61.74 %	3.04 %
2025-06-11	Rolling LGBM 3d PC 3% v1.1	321	67	254	20.87 %	33.96 %	21.66 %
2025-06-11	Rolling LGBM 3d PH 3% v1.1	322	156	166	48.45 %	55.59 %	29.06 %
2025-06-10	Binned CatBoost 3d PC 3% v3	149	47	102	31.54 %	41.61 %	0.98 %
2025-06-10	Rolling LGBM 3d PC 3% v1.1	137	39	98	28.47 %	43.80 %	-0.12 %
2025-06-10	Rolling LGBM 3d PC 3% v3	108	34	74	31.48 %	42.59 %	-0.39 %
2025-06-10	Rolling LGBM 3d PC 3% v3	108	34	74	31.48 %	42.59 %	-0.39 %
2025-06-10	Rolling LGBM 3d PC Platt 3% v2	108	34	74	31.48 %	42.59 %	-0.39 %
2025-06-10	Rolling LGBM 3d PH 3% v1.1	137	70	67	51.09 %	66.42 %	4.29 %
2025-06-09	Binned CatBoost 3d PC 3% v3	95	42	53	44.21 %	54.74 %	9.10 %
2025-06-09	Binned CatBoost 3d PC 3% v3	95	42	53	44.21 %	54.74 %	9.10 %
2025-06-09	Binned CatBoost 3d PH 3% v3	95	66	29	69.47 %	83.16 %	15.72 %
2025-06-09	Rolling CatBoost 3d PC Platt 3% v2	123	49	74	39.84 %	51.22 %	6.15 %
2025-06-09	Rolling LGBM 3d PC 3% v2	123	49	74	39.84 %	51.22 %	6.15 %
2025-06-09	Rolling LGBM 3d PC Platt 3% v2	123	49	74	39.84 %	51.22 %	6.15 %
2025-06-09	Rolling LGBM 3d PH 3% v3	123	87	36	70.73 %	82.11 %	12.74 %
2025-06-06	Binned CatBoost 3d PC 3% v3	111	65	46	58.56 %	64.86 %	2.71 %
2025-06-06	Rolling LGBM 3d PC 3% v2	165	91	74	55.15 %	64.85 %	2.49 %
2025-06-06	Rolling LGBM 3d PC 3% v1.1	205	93	112	45.37 %	71.22 %	2.60 %
2025-06-06	Rolling LGBM 3d PC 3% v3	165	91	74	55.15 %	64.85 %	2.49 %
2025-06-06	Rolling LGBM 3d PH 3% v1.1	205	152	53	74.15 %	84.88 %	6.37 %
2025-06-05	00 Rolling CatBoost 3d PC 3% v2	148	74	74	50.00 %	62.84 %	2.20 %
2025-06-05	Binned CatBoost 3d PC 3% v3	100	51	49	51.00 %	65.00 %	0.86 %
2025-06-05	Binned CatBoost 3d PC 3% v3	100	51	49	51.00 %	65.00 %	0.86 %
2025-06-05	Rolling CatBoost 3d PC Platt 3% v2	148	74	74	50.00 %	62.84 %	2.20 %
2025-06-05	Rolling LGBM 3d PC 3% v2	148	74	74	50.00 %	62.84 %	2.20 %
2025-06-05	Rolling LGBM 3d PC 3% v1.1	191	68	123	35.60 %	63.35 %	1.57 %
2025-06-04	00 Rolling CatBoost 3d PC 3% v2	166	76	90	45.78 %	57.23 %	0.83 %
2025-06-04	Binned CatBoost 3d PH 3% v3	102	73	29	71.57 %	80.39 %	5.53 %
2025-06-04	Binned LGBM 3d PC 3% v2	102	49	53	48.04 %	56.86 %	0.42 %
2025-06-04	Rolling LGBM 3d PC 3% v1.1	218	71	147	32.57 %	42.20 %	-0.31 %
2025-06-04	Rolling LGBM 3d PC 3% v3	166	76	90	45.78 %	57.23 %	0.83 %
2025-06-04	Rolling LGBM 3d PH 3% v1.1	218	148	70	67.89 %	81.65 %	4.98 %
2025-06-03	Binned CatBoost 3d PC 3% v3	181	104	77	57.46 %	64.64 %	2.99 %
2025-06-03	Rolling LGBM 3d PC 3% v1.1	227	101	126	44.49 %	61.67 %	2.29 %
2025-06-03	Rolling LGBM 3d PC 3% v3	178	87	91	48.88 %	59.55 %	1.87 %
2025-06-03	Rolling LGBM 3d PC 3% v3	179	87	92	48.60 %	59.22 %	1.81 %
2025-06-03	Rolling LGBM 3d PH 3% v1.1	227	165	62	72.69 %	85.02 %	6.40 %
2025-06-03	Rolling LGBM 3d PH 3% v3	179	134	45	74.86 %	84.92 %	6.75 %
2025-06-02	Binned CatBoost 3d PC 3% v3	89	55	34	61.80 %	71.91 %	3.86 %
2025-06-02	Rolling LGBM 3d PC 3% v2	122	79	43	64.75 %	72.95 %	3.14 %
2025-06-02	Rolling LGBM 3d PC 3% v1.1	151	82	69	54.30 %	68.87 %	2.68 %
2025-06-02	Rolling LGBM 3d PH 3% v1.1	151	128	23	84.77 %	88.74 %	7.37 %
2025-06-02	Rolling LGBM 3d PH 3% v3	122	101	21	82.79 %	86.89 %	7.82 %
2025-06-02	Rolling LGBM 3d PH 3% v3	122	101	21	82.79 %	86.89 %	7.82 %
2025-05-30	Binned CatBoost 3d PH 3% v3	90	63	27	70.00 %	84.44 %	6.77 %
2025-05-30	Binned LGBM 3d PC 3% v2	90	44	46	48.89 %	55.56 %	17.09 %
2025-05-30	Rolling LGBM 3d PC 3% v1.1	167	59	108	35.33 %	50.30 %	9.97 %
2025-05-30	Rolling LGBM 3d PC 3% v3	133	66	67	49.62 %	62.41 %	13.23 %
2025-05-30	Rolling LGBM 3d PC 3% v3	133	66	67	49.62 %	62.41 %	13.22 %
2025-05-30	Rolling LGBM 3d PC Platt 3% v2	133	66	67	49.62 %	62.41 %	13.22 %
2025-05-30	Rolling LGBM 3d PH 3% v1.1	166	112	54	67.47 %	86.14 %	6.09 %
2025-05-30	Rolling LGBM 3d PH 3% v3	133	95	38	71.43 %	87.97 %	6.59 %
2025-05-29	Binned CatBoost 3d PC 3% v3	111	37	74	33.33 %	42.34 %	-0.02 %
2025-05-29	Rolling LGBM 3d PC 3% v1.1	213	42	171	19.72 %	31.46 %	-1.20 %
2025-05-29	Rolling LGBM 3d PC Platt 3% v2	169	50	119	29.59 %	39.64 %	8.23 %
2025-05-28	Rolling LGBM 3d PC 3% v2	167	58	109	34.73 %	48.50 %	-0.43 %
2025-05-28	Rolling LGBM 3d PC 3% v1.1	215	61	154	28.37 %	47.91 %	0.75 %
2025-05-28	Rolling LGBM 3d PC 3% v3	167	58	109	34.73 %	48.50 %	-0.43 %
2025-05-28	Rolling LGBM 3d PC 3% v3	167	58	109	34.73 %	48.50 %	-0.43 %
2025-05-28	Rolling LGBM 3d PC Platt 3% v2	167	58	109	34.73 %	48.50 %	-0.43 %
2025-05-28	Rolling LGBM 3d PH 3% v1.1	215	134	81	62.33 %	75.35 %	3.56 %
2025-05-27	Binned CatBoost 3d PC 3% v2	64	25	39	39.06 %	50.00 %	1.30 %
2025-05-27	Rolling LGBM 3d PC 3% v1.1	135	48	87	35.56 %	48.15 %	1.28 %
2025-05-27	Rolling LGBM 3d PC 3% v3	121	57	64	47.11 %	57.02 %	1.72 %
2025-05-27	Rolling LGBM 3d PC Platt 3% v2	121	57	64	47.11 %	57.02 %	1.72 %
2025-05-23	Binned CatBoost 3d PC 3% v3	104	61	43	58.65 %	70.19 %	3.33 %
2025-05-23	Binned CatBoost 3d PC 3% v3	104	61	43	58.65 %	70.19 %	3.33 %
2025-05-23	Rolling LGBM 3d PC 3% v3	152	91	61	59.87 %	72.37 %	3.80 %
2025-05-23	Rolling LGBM 3d PC 3% v3	152	91	61	59.87 %	72.37 %	3.80 %
2025-05-23	Rolling LGBM 3d PH 3% v1.1	194	160	34	82.47 %	92.27 %	7.35 %
2025-05-23	Rolling LGBM 3d PH 3% v3	152	123	29	80.92 %	90.13 %	7.72 %
2025-05-22	Binned CatBoost 3d PC 3% v2	78	38	40	48.72 %	70.51 %	3.18 %
2025-05-22	Binned CatBoost 3d PC 3% v3	78	38	40	48.72 %	70.51 %	3.18 %
2025-05-22	Rolling LGBM 3d PC 3% v2	133	61	72	45.86 %	66.17 %	2.20 %
2025-05-22	Rolling LGBM 3d PC 3% v1.1	180	53	127	29.44 %	48.33 %	0.17 %
2025-05-22	Rolling LGBM 3d PC 3% v3	133	61	72	45.86 %	66.17 %	2.20 %
2025-05-22	Rolling LGBM 3d PC Platt 3% v2	133	61	72	45.86 %	66.17 %	2.20 %
2025-05-22	Rolling LGBM 3d PH 3% v1.1	180	117	63	65.00 %	82.78 %	4.46 %
2025-05-21	Binned CatBoost 3d PC 3% v3	97	33	64	34.02 %	47.42 %	2.06 %
2025-05-21	Rolling LGBM 3d PC 3% v3	154	46	108	29.87 %	40.26 %	-0.08 %
2025-05-21	Rolling LGBM 3d PC 3% v3	154	46	108	29.87 %	40.26 %	-0.08 %
2025-05-21	Rolling LGBM 3d PH 3% v1.1	197	104	93	52.79 %	62.44 %	3.10 %
2025-05-21	Rolling LGBM 3d PH 3% v3	154	82	72	53.25 %	62.34 %	3.24 %
2025-05-20	Rolling LGBM 3d PC 3% v2	123	36	87	29.27 %	38.21 %	-2.49 %
2025-05-20	Rolling LGBM 3d PC 3% v1.1	152	29	123	19.08 %	25.00 %	-3.49 %
2025-05-20	Rolling LGBM 3d PC 3% v3	123	36	87	29.27 %	38.21 %	-2.49 %
2025-05-20	Rolling LGBM 3d PH 3% v3	123	68	55	55.28 %	64.23 %	2.69 %
2025-05-20	Rolling LGBM 3d PH 3% v3	123	68	55	55.28 %	64.23 %	2.69 %

DJDT

Versions

Package	Name	Version
Django		5.2.1
Python		3.11.8
coverage	Coverage	7.4.4
debug_toolbar	Debug Toolbar	4.3.0
django_extensions	Django Extensions	5.2.1
grappelli	Grappelli	4.0.2

Time

Resource usage

Resource	Value
User CPU time	6030.615 msec
System CPU time	14.152 msec
Total CPU time	6044.767 msec
Elapsed time	10151.483 msec
Context switches	35 voluntary, 466 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)

Settings from app.settings

Setting	Value
ABSOLUTE_URL_OVERRIDES	`{}`
ADMINS	`[]`
ALLOWED_HOSTS	`['*']`
APPEND_SLASH	`True`
AUTH0_CLIENT_ID	`'********************'`
AUTH0_CLIENT_SECRET	`'********************'`
AUTH0_DOMAIN	`'********************'`
AUTHENTICATION_BACKENDS	`'********************'`
AUTH_PASSWORD_VALIDATORS	`'********************'`
AUTH_USER_MODEL	`'********************'`
BASE_DIR	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe')`
CACHES	`{'default': {'BACKEND': 'django.core.cache.backends.filebased.FileBasedCache', 'LOCATION': '/var/tmp/django_cache'}}`
CACHE_MIDDLEWARE_ALIAS	`'default'`
CACHE_MIDDLEWARE_KEY_PREFIX	`'********************'`
CACHE_MIDDLEWARE_SECONDS	`600`
CELERY_BROKER_URL	`'redis://localhost:6379'`
CELERY_RESULT_BACKEND	`'redis://localhost:6379'`
CSRF_COOKIE_AGE	`31449600`
CSRF_COOKIE_DOMAIN	`None`
CSRF_COOKIE_HTTPONLY	`False`
CSRF_COOKIE_NAME	`'csrftoken'`
CSRF_COOKIE_PATH	`'/'`
CSRF_COOKIE_SAMESITE	`'Lax'`
CSRF_COOKIE_SECURE	`False`
CSRF_FAILURE_VIEW	`'django.views.csrf.csrf_failure'`
CSRF_HEADER_NAME	`'HTTP_X_CSRFTOKEN'`
CSRF_TRUSTED_ORIGINS	`[]`
CSRF_USE_SESSIONS	`False`
DATABASES	`{'default': {'ATOMIC_REQUESTS': False, 'AUTOCOMMIT': True, 'CONN_HEALTH_CHECKS': False, 'CONN_MAX_AGE': 0, 'ENGINE': 'django.db.backends.postgresql', 'HOST': '34.125.28.12', 'NAME': 'pennyloupe', 'OPTIONS': {}, 'PASSWORD': '********************', 'PORT': '5432', 'TEST': {'CHARSET': None, 'COLLATION': None, 'MIGRATE': True, 'MIRROR': None, 'NAME': None}, 'TIME_ZONE': None, 'USER': 'pennyloupe'}}`
DATABASE_ROUTERS	`[]`
DATA_UPLOAD_MAX_MEMORY_SIZE	`2621440`
DATA_UPLOAD_MAX_NUMBER_FIELDS	`1000`
DATA_UPLOAD_MAX_NUMBER_FILES	`100`
DATETIME_FORMAT	`'N j, Y, P'`
DATETIME_INPUT_FORMATS	`['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%d %H:%M', '%m/%d/%Y %H:%M:%S', '%m/%d/%Y %H:%M:%S.%f', '%m/%d/%Y %H:%M', '%m/%d/%y %H:%M:%S', '%m/%d/%y %H:%M:%S.%f', '%m/%d/%y %H:%M']`
DATE_FORMAT	`'N j, Y'`
DATE_INPUT_FORMATS	`['%Y-%m-%d', '%m/%d/%Y', '%m/%d/%y', '%b %d %Y', '%b %d, %Y', '%d %b %Y', '%d %b, %Y', '%B %d %Y', '%B %d, %Y', '%d %B %Y', '%d %B, %Y']`
DEBUG	`True`
DEBUG_PROPAGATE_EXCEPTIONS	`False`
DEBUG_TOOLBAR_CONFIG	`{'SHOW_TOOLBAR_CALLBACK': <function <lambda> at 0x7f26149af1a0>}`
DECIMAL_SEPARATOR	`'.'`
DEFAULT_AUTO_FIELD	`'django.db.models.BigAutoField'`
DEFAULT_CHARSET	`'utf-8'`
DEFAULT_EXCEPTION_REPORTER	`'django.views.debug.ExceptionReporter'`
DEFAULT_EXCEPTION_REPORTER_FILTER	`'django.views.debug.SafeExceptionReporterFilter'`
DEFAULT_FROM_EMAIL	`'webmaster@localhost'`
DEFAULT_INDEX_TABLESPACE	`''`
DEFAULT_TABLESPACE	`''`
DISALLOWED_USER_AGENTS	`[]`
EMAIL_BACKEND	`'django.core.mail.backends.smtp.EmailBackend'`
EMAIL_HOST	`'localhost'`
EMAIL_HOST_PASSWORD	`'********************'`
EMAIL_HOST_USER	`''`
EMAIL_PORT	`25`
EMAIL_SSL_CERTFILE	`None`
EMAIL_SSL_KEYFILE	`'********************'`
EMAIL_SUBJECT_PREFIX	`'[Django] '`
EMAIL_TIMEOUT	`None`
EMAIL_USE_LOCALTIME	`False`
EMAIL_USE_SSL	`False`
EMAIL_USE_TLS	`False`
FIELD_ENCRYPTION_KEY	`'********************'`
FILE_UPLOAD_DIRECTORY_PERMISSIONS	`None`
FILE_UPLOAD_HANDLERS	`['django.core.files.uploadhandler.MemoryFileUploadHandler', 'django.core.files.uploadhandler.TemporaryFileUploadHandler']`
FILE_UPLOAD_MAX_MEMORY_SIZE	`2621440`
FILE_UPLOAD_PERMISSIONS	`420`
FILE_UPLOAD_TEMP_DIR	`None`
FIRST_DAY_OF_WEEK	`0`
FIXTURE_DIRS	`[]`
FORCE_SCRIPT_NAME	`None`
FORMAT_MODULE_PATH	`None`
FORMS_URLFIELD_ASSUME_HTTPS	`False`
FORM_RENDERER	`'django.forms.renderers.DjangoTemplates'`
GCP_LOCATION	`'us-central1'`
GCP_PROJECT_ID	`'advance-honor-411011'`
GCP_PROJECT_NUMBER	`'268856636042'`
GCP_SERVICE_ACCOUNT	`'/Users/kcallahan/.config/gcloud/vector-search-user.json'`
GCP_VERTEX_BUCKET	`'pennyloupe-us-central1'`
GCP_VERTEX_INDEX_ID	`'2477861603379249152'`
GRAPPELLI_ADMIN_TITLE	`'Penny Loupe'`
GRAPPELLI_AUTOCOMPLETE_SEARCH_FIELDS	`{'auth': '********************'}`
IGNORABLE_404_URLS	`[]`
INSTALLED_APPS	`['coverage', 'grappelli', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.humanize', 'django.contrib.messages', 'django.contrib.postgres', 'django.contrib.sessions', 'django.contrib.staticfiles', 'django_htmx', 'app.core.apps.CoreConfig', 'django_extensions', 'debug_toolbar']`
INTERNAL_IPS	`['127.0.0.1']`
LANGUAGES	`[('en', 'English')]`
LANGUAGES_BIDI	`['he', 'ar', 'ar-dz', 'ckb', 'fa', 'ug', 'ur']`
LANGUAGE_CODE	`'en-us'`
LANGUAGE_COOKIE_AGE	`None`
LANGUAGE_COOKIE_DOMAIN	`None`
LANGUAGE_COOKIE_HTTPONLY	`False`
LANGUAGE_COOKIE_NAME	`'django_language'`
LANGUAGE_COOKIE_PATH	`'/'`
LANGUAGE_COOKIE_SAMESITE	`None`
LANGUAGE_COOKIE_SECURE	`False`
LOCALE_PATHS	`[]`
LOGGING	`{}`
LOGGING_CONFIG	`'logging.config.dictConfig'`
LOGIN_REDIRECT_URL	`'/accounts/profile/'`
LOGIN_URL	`'/accounts/login/'`
LOGOUT_REDIRECT_URL	`None`
MANAGERS	`[]`
MEDIA_ROOT	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/media')`
MEDIA_URL	`'/media/'`
MESSAGE_STORAGE	`'django.contrib.messages.storage.fallback.FallbackStorage'`
MIDDLEWARE	['django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.cache.UpdateCacheMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django_htmx.middleware.HtmxMiddleware', 'debug_toolbar.middleware.DebugToolbarMiddleware']
MIGRATION_MODULES	`{}`
MONTH_DAY_FORMAT	`'F j'`
NUMBER_GROUPING	`0`
OPENAI_API_KEY	`'********************'`
PASSWORD_HASHERS	`'********************'`
PASSWORD_RESET_TIMEOUT	`'********************'`
POLYGON_API_KEY	`'********************'`
PREPEND_WWW	`False`
QT_API_KEY	`'********************'`
QT_APP_ID	`'13d3cbab'`
QT_PASSWORD	`'********************'`
QT_USERNAME	`'kevin+dev3@pennyloupe.com'`
ROOT_URLCONF	`'app.urls'`
SALT_KEY	`'********************'`
SCRAPER_API_KEY	`'********************'`
SECRET_KEY	`'********************'`
SECRET_KEY_FALLBACKS	`'********************'`
SECURE_CONTENT_TYPE_NOSNIFF	`True`
SECURE_CROSS_ORIGIN_OPENER_POLICY	`'same-origin'`
SECURE_HSTS_INCLUDE_SUBDOMAINS	`False`
SECURE_HSTS_PRELOAD	`False`
SECURE_HSTS_SECONDS	`0`
SECURE_PROXY_SSL_HEADER	`None`
SECURE_REDIRECT_EXEMPT	`[]`
SECURE_REFERRER_POLICY	`'same-origin'`
SECURE_SSL_HOST	`None`
SECURE_SSL_REDIRECT	`False`
SERVER_EMAIL	`'root@localhost'`
SESSION_CACHE_ALIAS	`'default'`
SESSION_COOKIE_AGE	`1209600`
SESSION_COOKIE_DOMAIN	`None`
SESSION_COOKIE_HTTPONLY	`True`
SESSION_COOKIE_NAME	`'sessionid'`
SESSION_COOKIE_PATH	`'/'`
SESSION_COOKIE_SAMESITE	`'Lax'`
SESSION_COOKIE_SECURE	`False`
SESSION_ENGINE	`'django.contrib.sessions.backends.db'`
SESSION_EXPIRE_AT_BROWSER_CLOSE	`False`
SESSION_FILE_PATH	`None`
SESSION_SAVE_EVERY_REQUEST	`False`
SESSION_SERIALIZER	`'django.contrib.sessions.serializers.JSONSerializer'`
SETTINGS_MODULE	`'app.settings'`
SHORT_DATETIME_FORMAT	`'m/d/Y P'`
SHORT_DATE_FORMAT	`'m/d/Y'`
SIGNING_BACKEND	`'django.core.signing.TimestampSigner'`
SILENCED_SYSTEM_CHECKS	`[]`
SQL_FILES_DIR	`'/mnt/disks/pennyloupe_disk/pennyloupe/app/core/sql'`
STATICFILES_DIRS	`[]`
STATICFILES_FINDERS	`['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder']`
STATIC_ROOT	`PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/static')`
STATIC_URL	`'/static/'`
STORAGES	`{'default': {'BACKEND': 'django.core.files.storage.FileSystemStorage'}, 'staticfiles': {'BACKEND': 'django.contrib.staticfiles.storage.StaticFilesStorage'}}`
TEMPLATES	`[{'APP_DIRS': True, 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'OPTIONS': {'context_processors': ['django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages']}}]`
TEST_NON_SERIALIZED_APPS	`[]`
TEST_RUNNER	`'django.test.runner.DiscoverRunner'`
THOUSAND_SEPARATOR	`','`
TIME_FORMAT	`'P'`
TIME_INPUT_FORMATS	`['%H:%M:%S', '%H:%M:%S.%f', '%H:%M']`
TIME_ZONE	`'UTC'`
USE_I18N	`True`
USE_THOUSAND_SEPARATOR	`False`
USE_TZ	`True`
USE_X_FORWARDED_HOST	`False`
USE_X_FORWARDED_PORT	`False`
WSGI_APPLICATION	`'app.wsgi.application'`
X_FRAME_OPTIONS	`'DENY'`
YEAR_MONTH_FORMAT	`'F Y'`

Headers

Request headers

Key	Value
Accept	text/html,application/xhtml+xml,application/xml;q=0.9,/;q=0.8
Accept-Encoding	br,gzip
Accept-Language	en-US,en;q=0.5
Connection	Keep-Alive
Host	pennyloupe.com
If-Modified-Since	Sat, 26 Apr 2025 02:05:09 GMT
User-Agent	CCBot/2.0 (https://commoncrawl.org/faq/)

Response headers

Key	Value
Content-Type	text/html; charset=utf-8

WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

Key	Value
CONTENT_LENGTH
CONTENT_TYPE
PATH_INFO	/model/tests
QUERY_STRING
REMOTE_ADDR	18.97.9.173
REQUEST_METHOD	GET
SCRIPT_NAME
SERVER_NAME	pennyloupe.com
SERVER_PORT	443
SERVER_PROTOCOL	HTTP/1.1

Request

View information

View function	Arguments	Keyword arguments	URL name
`app.core.views.app.model_tests`	`()`	`{}`	`model_tests`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 586.72 ms (5 queries )

	Query		Timeline	Time (ms)	Action
		SELECT "pl_model_metrics"."created_dt", "pl_model_metrics"."updated_dt", "pl_model_metrics"."status_id", "pl_model_metrics"."id", "pl_model_metrics"."date", "pl_model_metrics"."metrics", "pl_model_metrics"."identifier", "pl_model_metrics"."model_id" FROM "pl_model_metrics" WHERE ("pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2025-05-20'::date AND "pl_model_metrics"."date" <= '2025-07-19'::date)SELECT ••• FROM "pl_model_metrics" WHERE ("pl_model_metrics"."status_id" = 10 AND "pl_model_metrics"."date" >= '2025-05-20'::date AND "pl_model_metrics"."date" <= '2025-07-19'::date)		190.80
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_tests(1459) for metric in metrics:
		SELECT "pl_model_test"."pick_date" AS "date", "pl_model_test"."model_id" AS "m_id", "pl_model"."name" AS "m_name", "pl_model"."version" AS "m_version", COUNT("pl_model_test"."id") FILTER (WHERE ("pl_model_test"."result")) AS "pass_count", COUNT("pl_model_test"."id") FILTER (WHERE (NOT "pl_model_test"."result")) AS "fail_count", COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) AS "hit_count", COUNT("pl_model_test"."id") AS "total_count", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE ("pl_model_test"."result")) * 100.0) / COUNT("pl_model_test"."id")) END AS "win_rate", CASE WHEN COUNT("pl_model_test"."id") = 0 THEN 0.0 ELSE ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / COUNT("pl_model_test"."id")) END AS "hit_rate", AVG(CASE WHEN (("pl_model_test"."meta" -> 'buy_price') > '0'::jsonb AND ("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL) THEN ((100.0 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision) ELSE 0.0 END) AS "avg_performance" FROM "pl_model_test" INNER JOIN "pl_model" ON ("pl_model_test"."model_id" = "pl_model"."id") WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 1, 2, 3, 4 ORDER BY 1 DESC, 3 ASCSELECT ••• FROM "pl_model_test" INNER JOIN "pl_model" ON ("pl_model_test"."model_id" = "pl_model"."id") WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 1, 2, 3, 4 ORDER BY 1 DESC, 3 ASC		216.57
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_tests(1479) for n, p in enumerate(performance_data):
		SELECT DATE_TRUNC('week', "pl_model_test"."pick_date") AS "week", CASE WHEN ("pl_model_test"."probability" >= 0.0 AND "pl_model_test"."probability" <= 0.1) THEN 0.1 WHEN ("pl_model_test"."probability" > 0.1 AND "pl_model_test"."probability" <= 0.2) THEN 0.2 WHEN ("pl_model_test"."probability" > 0.2 AND "pl_model_test"."probability" <= 0.3) THEN 0.3 WHEN ("pl_model_test"."probability" > 0.3 AND "pl_model_test"."probability" <= 0.4) THEN 0.4 WHEN ("pl_model_test"."probability" > 0.4 AND "pl_model_test"."probability" <= 0.5) THEN 0.5 WHEN ("pl_model_test"."probability" > 0.5 AND "pl_model_test"."probability" <= 0.6) THEN 0.6 WHEN ("pl_model_test"."probability" > 0.6 AND "pl_model_test"."probability" <= 0.7) THEN 0.7 WHEN ("pl_model_test"."probability" > 0.7 AND "pl_model_test"."probability" <= 0.8) THEN 0.8 WHEN ("pl_model_test"."probability" > 0.8 AND "pl_model_test"."probability" <= 0.9) THEN 0.9 WHEN ("pl_model_test"."probability" > 0.9 AND "pl_model_test"."probability" <= 1.0) THEN 1.0 ELSE NULL END AS "bin", AVG(CASE WHEN (("pl_model_test"."meta" -> 'buy_price') > '0'::jsonb AND ("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL) THEN ((100.0 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision) ELSE 0.0 END) AS "avg_performance", ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / NULLIF(COUNT("pl_model_test"."id"), 0.0)) AS "hit_rate", ((COUNT("pl_model_test"."id") FILTER (WHERE ("pl_model_test"."result")) * 100.0) / NULLIF(COUNT("pl_model_test"."id"), 0.0)) AS "win_rate", COUNT("pl_model_test"."id") AS "total_count" FROM "pl_model_test" WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 2, 1 ORDER BY 1 ASC, 2 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 2, 1 ORDER BY 1 ASC, 2 ASC		95.23
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_tests(1682) for entry in curve_data_weekly:
		SELECT CASE WHEN ("pl_model_test"."probability" >= 0.0 AND "pl_model_test"."probability" <= 0.1) THEN 0.1 WHEN ("pl_model_test"."probability" > 0.1 AND "pl_model_test"."probability" <= 0.2) THEN 0.2 WHEN ("pl_model_test"."probability" > 0.2 AND "pl_model_test"."probability" <= 0.3) THEN 0.3 WHEN ("pl_model_test"."probability" > 0.3 AND "pl_model_test"."probability" <= 0.4) THEN 0.4 WHEN ("pl_model_test"."probability" > 0.4 AND "pl_model_test"."probability" <= 0.5) THEN 0.5 WHEN ("pl_model_test"."probability" > 0.5 AND "pl_model_test"."probability" <= 0.6) THEN 0.6 WHEN ("pl_model_test"."probability" > 0.6 AND "pl_model_test"."probability" <= 0.7) THEN 0.7 WHEN ("pl_model_test"."probability" > 0.7 AND "pl_model_test"."probability" <= 0.8) THEN 0.8 WHEN ("pl_model_test"."probability" > 0.8 AND "pl_model_test"."probability" <= 0.9) THEN 0.9 WHEN ("pl_model_test"."probability" > 0.9 AND "pl_model_test"."probability" <= 1.0) THEN 1.0 ELSE NULL END AS "bin", AVG(CASE WHEN (("pl_model_test"."meta" -> 'buy_price') > '0'::jsonb AND ("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL) THEN ((100.0 * ((("pl_model_test"."meta" -> 'sell_price'))::double precision - (("pl_model_test"."meta" -> 'buy_price'))::double precision)) / (("pl_model_test"."meta" -> 'buy_price'))::double precision) ELSE 0.0 END) AS "avg_performance", ((COUNT("pl_model_test"."id") FILTER (WHERE (("pl_model_test"."meta" -> 'buy_price') IS NOT NULL AND ("pl_model_test"."meta" -> 'sell_price') > ("pl_model_test"."meta" -> 'buy_price') AND ("pl_model_test"."meta" -> 'sell_price') IS NOT NULL)) * 100.0) / NULLIF(COUNT("pl_model_test"."id"), 0.0)) AS "hit_rate", ((COUNT("pl_model_test"."id") FILTER (WHERE ("pl_model_test"."result")) * 100.0) / NULLIF(COUNT("pl_model_test"."id"), 0.0)) AS "win_rate", COUNT("pl_model_test"."id") AS "total_count" FROM "pl_model_test" WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 1 ORDER BY 1 ASCSELECT ••• FROM "pl_model_test" WHERE ("pl_model_test"."status_id" = 10 AND "pl_model_test"."pick_date" >= '2025-05-20'::date AND "pl_model_test"."pick_date" <= '2025-07-19'::date) GROUP BY 1 ORDER BY 1 ASC		82.02
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_tests(1756) "curve_data": list(curve_data),
		SELECT "pl_model"."created_dt", "pl_model"."updated_dt", "pl_model"."status_id", "pl_model"."id", "pl_model"."key", "pl_model"."name", "pl_model"."description", "pl_model"."type", "pl_model"."version", "pl_model"."last_trained_dt", "pl_model"."last_run_dt", "pl_model"."end_point_url", "pl_model"."meta", "pl_model"."account_id" FROM "pl_model" WHERE "pl_model"."status_id" = 10 ORDER BY "pl_model"."name" ASCSELECT ••• FROM "pl_model" WHERE "pl_model"."status_id" = 10 ORDER BY "pl_model"."name" ASC		2.12
		Connection: default Transaction status: Idle /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43) return self.get_response(request) /mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in model_tests(1764) cache.set(cache_key, context, 24 * 60 * 60) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/core/cache/backends/filebased.py in set(55) self._write_content(f, timeout, value) /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/core/cache/backends/filebased.py in _write_content(45) file.write(zlib.compress(pickle.dumps(value, self.pickle_protocol)))

Static files (720 found, 2 used)

Static file paths

None

Static file apps

grappelli
django.contrib.admin
django_htmx
app.core
django_extensions
debug_toolbar

Static files

css/pennyloupe.css: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Templates (157 rendered)

Template path

templates

Templates

model_tests.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/model_tests.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f25fd6e5ee0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/model/tests'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f25fd60b740>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f25fd60b740>>'} {'compare_tickers': 'FDM,IWN', 'compare_tickers_list': ['FDM', 'IWN'], 'curve_data': [{'avg_performance': 1.236829001445455, 'bin': 0.1, 'hit_rate': 58.9041095890411, 'total_count': 146, 'win_rate': 39.04109589041096}, {'avg_performance': 10.574275750971342, 'bin': 0.2, 'hit_rate': 58.798882681564244, 'total_count': 716, 'win_rate': 40.642458100558656}, {'avg_performance': 9.713325944856932, 'bin': 0.3, 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components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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snippets/metrics.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/snippets/metrics.html; Toggle context
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0.5, 'hit_rate': 47.27272727272727, 'total_count': 715, 'week': '2025-06-16', 'win_rate': 36.78321678321678}, {'avg_performance': 26.557610961563455, 'bin': 0.6, 'hit_rate': 52.086553323029364, 'total_count': 647, 'week': '2025-06-16', 'win_rate': 41.267387944358575}, {'avg_performance': 33.5527806364284, 'bin': 0.7, 'hit_rate': 53.97849462365591, 'total_count': 465, 'week': '2025-06-16', 'win_rate': 43.01075268817204}, {'avg_performance': 2.762186340071393, 'bin': 0.8, 'hit_rate': 57.42574257425743, 'total_count': 202, 'week': '2025-06-16', 'win_rate': 50.99009900990099}, {'avg_performance': 202.58133036577996, 'bin': 0.9, 'hit_rate': 65.95744680851064, 'total_count': 47, 'week': '2025-06-16', 'win_rate': 55.319148936170215}, {'avg_performance': -3.8906627335937367, 'bin': 1.0, 'hit_rate': 25.0, 'total_count': 4, 'week': '2025-06-16', 'win_rate': 25.0}], '2025-06-23': [{'avg_performance': 0.19115376795591008, 'bin': 0.1, 'hit_rate': 54.54545454545455, 'total_count': 11, 'week': '2025-06-23', 'win_rate': 36.36363636363637}, {'avg_performance': 2.945794321726511, 'bin': 0.2, 'hit_rate': 57.35294117647059, 'total_count': 68, 'week': '2025-06-23', 'win_rate': 35.294117647058826}, {'avg_performance': 0.6162410978227431, 'bin': 0.3, 'hit_rate': 57.429718875502004, 'total_count': 249, 'week': '2025-06-23', 'win_rate': 44.57831325301205}, {'avg_performance': -0.029537619601454186, 'bin': 0.4, 'hit_rate': 54.86725663716814, 'total_count': 565, 'week': '2025-06-23', 'win_rate': 43.36283185840708}, {'avg_performance': 0.799951253058729, 'bin': 0.5, 'hit_rate': 59.287531806615775, 'total_count': 786, 'week': '2025-06-23', 'win_rate': 46.0559796437659}, {'avg_performance': 0.22723453415722591, 'bin': 0.6, 'hit_rate': 55.22959183673469, 'total_count': 784, 'week': '2025-06-23', 'win_rate': 44.515306122448976}, {'avg_performance': 1.3127605181358455, 'bin': 0.7, 'hit_rate': 60.370370370370374, 'total_count': 540, 'week': '2025-06-23', 'win_rate': 49.25925925925926}, {'avg_performance': 4.138931470557527, 'bin': 0.8, 'hit_rate': 70.77625570776256, 'total_count': 219, 'week': '2025-06-23', 'win_rate': 62.55707762557078}, {'avg_performance': 2.4594905632900446, 'bin': 0.9, 'hit_rate': 65.0, 'total_count': 40, 'week': '2025-06-23', 'win_rate': 57.5}, {'avg_performance': -1.612903225806453, 'bin': 1.0, 'hit_rate': 0.0, 'total_count': 2, 'week': '2025-06-23', 'win_rate': 0.0}], '2025-06-30': [{'avg_performance': -0.4658988517049299, 'bin': 0.1, 'hit_rate': 55.88235294117647, 'total_count': 34, 'week': '2025-06-30', 'win_rate': 38.23529411764706}, {'avg_performance': 50.55865719397786, 'bin': 0.2, 'hit_rate': 67.90123456790124, 'total_count': 81, 'week': '2025-06-30', 'win_rate': 49.382716049382715}, {'avg_performance': 43.91802366908394, 'bin': 0.3, 'hit_rate': 63.41463414634146, 'total_count': 123, 'week': '2025-06-30', 'win_rate': 51.21951219512195}, {'avg_performance': 41.93237835301243, 'bin': 0.4, 'hit_rate': 66.48936170212765, 'total_count': 188, 'week': '2025-06-30', 'win_rate': 51.06382978723404}, {'avg_performance': 17.039642223959692, 'bin': 0.5, 'hit_rate': 55.28169014084507, 'total_count': 284, 'week': '2025-06-30', 'win_rate': 42.605633802816904}, {'avg_performance': 15.662572418501377, 'bin': 0.6, 'hit_rate': 65.36312849162012, 'total_count': 358, 'week': '2025-06-30', 'win_rate': 54.18994413407821}, {'avg_performance': 16.604150448750495, 'bin': 0.7, 'hit_rate': 70.91836734693878, 'total_count': 196, 'week': '2025-06-30', 'win_rate': 52.04081632653061}, {'avg_performance': 4.697805671042752, 'bin': 0.8, 'hit_rate': 66.66666666666667, 'total_count': 48, 'week': '2025-06-30', 'win_rate': 56.25}, {'avg_performance': 6.249043421136, 'bin': 0.9, 'hit_rate': 100.0, 'total_count': 3, 'week': '2025-06-30', 'win_rate': 66.66666666666667}]}, 'curve_data_week_list': ['2025-05-19', '2025-05-26', '2025-06-02', '2025-06-09', '2025-06-16', '2025-06-23', '2025-06-30'], 'date_from': '2025-05-20', 'date_to': '2025-07-19', 'keyword': '', 'kpis': {'avg_gain': 9.387998419571305, 'fail_count': 11908, 'hit_count': 13270, 'hit_rate': 58.98302071295226, 'pass_count': 10590, 'total_tests': 22498, 'win_rate': 47.0708507422882}, 'model_id': None, 'models': '<<queryset of core.Model>>', 'percentiles': '', 'performance_data': '<<queryset of core.ModelTest>>', 'price_history': {'FDM': {'2025-05-20': {'performance': -0.26692514166418435, 'price_close': 66.881, 'price_high': 67.251, 'price_low': 66.881, 'price_open': 67.06, 'volume': 2628}, '2025-05-21': {'performance': -1.5922286400120063, 'price_close': 65.5937, 'price_high': 66.655, 'price_low': 65.5937, 'price_open': 66.655, 'volume': 2346}, '2025-05-22': {'performance': 0.17357367552580882, 'price_close': 65.5036, 'price_high': 65.895, 'price_low': 65.34, 'price_open': 65.3901, 'volume': 5825}, '2025-05-23': {'performance': 0.6701765309393016, 'price_close': 65.6437, 'price_high': 65.9235, 'price_low': 65.2067, 'price_open': 65.2067, 'volume': 1506}, '2025-05-27': {'performance': 1.6508103241296483, 'price_close': 67.7401, 'price_high': 67.7401, 'price_low': 66.55, 'price_open': 66.64, 'volume': 7282}, '2025-05-28': {'performance': -0.6912712187212269, 'price_close': 67.0035, 'price_high': 67.4699, 'price_low': 67.0035, 'price_open': 67.4699, 'volume': 3373}, '2025-05-29': {'performance': -0.45318518518517636, 'price_close': 67.1941, 'price_high': 67.5, 'price_low': 66.89, 'price_open': 67.5, 'volume': 2998}, '2025-05-30': {'performance': -0.713012477718345, 'price_close': 66.84, 'price_high': 67.32, 'price_low': 66.84, 'price_open': 67.32, 'volume': 4228}, '2025-06-02': {'performance': -0.4147540983606369, 'price_close': 66.8217, 'price_high': 67.1, 'price_low': 66.8217, 'price_open': 67.1, 'volume': 4082}, '2025-06-03': {'performance': -0.13605642513215116, 'price_close': 67.8206, 'price_high': 68.0999, 'price_low': 67.72, 'price_open': 67.913, 'volume': 2174}, '2025-06-04': {'performance': -0.33724275282142085, 'price_close': 67.5564, 'price_high': 67.785, 'price_low': 67.4, 'price_open': 67.785, 'volume': 1354}, '2025-06-05': {'performance': -0.5821776335202079, 'price_close': 67.3854, 'price_high': 67.78, 'price_low': 67.3854, 'price_open': 67.78, 'volume': 20707}, '2025-06-06': {'performance': 1.11955882352942, 'price_close': 68.7613, 'price_high': 68.7613, 'price_low': 68, 'price_open': 68, 'volume': 9131}, '2025-06-09': {'performance': 0.22008670520230747, 'price_close': 69.3523, 'price_high': 69.4999, 'price_low': 69.2, 'price_open': 69.2, 'volume': 1511}, '2025-06-10': {'performance': -0.47630707187095966, 'price_close': 69.0993, 'price_high': 69.43, 'price_low': 68.95, 'price_open': 69.43, 'volume': 2792}, '2025-06-11': {'performance': -0.08624407072012084, 'price_close': 69.51, 'price_high': 69.96, 'price_low': 69.43, 'price_open': 69.57, 'volume': 3511}, '2025-06-12': {'performance': 0.21106321839080783, 'price_close': 69.7469, 'price_high': 69.7469, 'price_low': 69.42, 'price_open': 69.6, 'volume': 1093}, 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'price_close': 71.2065, 'price_high': 71.279, 'price_low': 70.62, 'price_open': 70.62, 'volume': 16413}, '2025-06-25': {'performance': -2.069467787114859, 'price_close': 69.9224, 'price_high': 71.4, 'price_low': 69.9224, 'price_open': 71.4, 'volume': 4947}, '2025-06-26': {'performance': 1.8986632169038509, 'price_close': 70.8909, 'price_high': 70.9, 'price_low': 69.45, 'price_open': 69.57, 'volume': 4089}, '2025-06-27': {'performance': 0.7811130896859741, 'price_close': 71.3107, 'price_high': 71.49, 'price_low': 70.758, 'price_open': 70.758, 'volume': 4493}, '2025-06-30': {'performance': -0.12046848856664472, 'price_close': 71.6336, 'price_high': 71.86, 'price_low': 71.3801, 'price_open': 71.72, 'volume': 6304}, '2025-07-01': {'performance': 1.0628195251768442, 'price_close': 72.1538, 'price_high': 72.789, 'price_low': 71.395, 'price_open': 71.395, 'volume': 9329}, '2025-07-02': {'performance': 1.629286504424789, 'price_close': 73.4983, 'price_high': 73.5032, 'price_low': 72.21, 'price_open': 72.32, 'volume': 3301}, '2025-07-03': {'performance': 0.49830921141619644, 'price_close': 74.2984, 'price_high': 74.39, 'price_low': 73.93, 'price_open': 73.93, 'volume': 2209}, '2025-07-07': {'performance': -0.44594594594594367, 'price_close': 73.67, 'price_high': 74, 'price_low': 73.35, 'price_open': 74, 'volume': 6869}, '2025-07-08': {'performance': -0.6559271343121285, 'price_close': 73.0775, 'price_high': 73.7, 'price_low': 73.0775, 'price_open': 73.56, 'volume': 5028}, '2025-07-09': {'performance': -0.7979647218453151, 'price_close': 73.1119, 'price_high': 73.7, 'price_low': 72.64, 'price_open': 73.7, 'volume': 2501}, '2025-07-10': {'performance': -0.1669622152503055, 'price_close': 73.1876, 'price_high': 73.3691, 'price_low': 72.92, 'price_open': 73.31,

Model Tests

Total Tests

# Pass

# Fail

Win Rate

Hit Rate

Avg Gain

Versions

Time

Resource usage

Browser timing

Settings from app.settings

Headers

Request headers

Response headers

WSGI environ

Request

View information

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

Static files (720 found, 2 used)

Static file paths

Static file apps

Static files

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Templates (157 rendered)

Template path

Templates

Path	Location
.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
grappelli/images/spritesheet-1694777276.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/spritesheet-1694777276.png
grappelli/images/backgrounds/loading-small.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/loading-small.gif
grappelli/images/backgrounds/changelist-results.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/changelist-results.png
grappelli/images/backgrounds/ui-sortable-placeholder.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/ui-sortable-placeholder.png
grappelli/images/backgrounds/nav-grabber.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/nav-grabber.gif
grappelli/images/backgrounds/messagelist.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/messagelist.png
grappelli/images/icons/ui-datepicker-next.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/ui-datepicker-next.png
grappelli/images/icons/link-external-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-external-small_hover.png
grappelli/images/icons/tools-arrow-up-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-arrow-up-handler_hover.png
grappelli/images/icons/date-hierarchy-back.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/date-hierarchy-back.png
grappelli/images/icons/tools-delete-handler-predelete.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler-predelete.png
grappelli/images/icons/breadcrumbs-rtl.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs-rtl.png
grappelli/images/icons/datepicker_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/datepicker_hover.png
grappelli/images/icons/tools-trash-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-trash-handler_hover.png
grappelli/images/icons/selector-add-m2m-vertical_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/selector-add-m2m-vertical_hover.png
grappelli/images/icons/tools-related-remove-handler-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small_hover.png
grappelli/images/icons/sorted-descending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-descending.png
grappelli/images/icons/breadcrumbs_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs_hover.png
grappelli/images/icons/tools-viewsite-link_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-viewsite-link_hover.png
grappelli/images/icons/object-tools-add-link.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/object-tools-add-link.png
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