hjnormey/DOLPHIN
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

initial: import DOLPHIN baseline 2026-04-21 from dolphinng5_predict working tree

Browse Source 
Includes core prod + GREEN/BLUE subsystems:
- prod/ (BLUE harness, configs, scripts, docs)
- nautilus_dolphin/ (GREEN Nautilus-native impl + dvae/ preserved)
- adaptive_exit/ (AEM engine + models/bucket_assignments.pkl)
- Observability/ (EsoF advisor, TUI, dashboards)
- external_factors/ (EsoF producer)
- mc_forewarning_qlabs_fork/ (MC regime/envelope)

Excludes runtime caches, logs, backups, and reproducible artifacts per .gitignore.
This commit is contained in:
hjnormey
2026-04-21 16:58:38 +02:00
commit 01c19662cb
643 changed files with 260241 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

25
prod/conv_2023_new.err Executable file
View File

@@ -0,0 +1,25 @@
Traceback (most recent call last):
File "C:\Users\Lenovo\Documents\- DOLPHIN NG HD HCM TSF Predict\prod\convert_2023.py", line 17, in <module>
main()
File "C:\Users\Lenovo\Documents\- DOLPHIN NG HD HCM TSF Predict\prod\convert_2023.py", line 12, in main
ok, status = convert_one(d)
^^^^^^^^^^^^^^
File "C:\Users\Lenovo\Documents\- DOLPHIN NG HD HCM TSF Predict\prod\continuous_convert.py", line 112, in convert_one
df = df.sort_values('timestamp').reset_index(drop=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lenovo\AppData\Local\Python\pythoncore-3.11-64\Lib\site-packages\pandas\core\frame.py", line 6424, in reset_index
new_obj = self.copy(deep=None)
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lenovo\AppData\Local\Python\pythoncore-3.11-64\Lib\site-packages\pandas\core\generic.py", line 6830, in copy
data = self._mgr.copy(deep=deep)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lenovo\AppData\Local\Python\pythoncore-3.11-64\Lib\site-packages\pandas\core\internals\managers.py", line 593, in copy
res = self.apply("copy", deep=deep)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lenovo\AppData\Local\Python\pythoncore-3.11-64\Lib\site-packages\pandas\core\internals\managers.py", line 363, in apply
applied = getattr(b, f)(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lenovo\AppData\Local\Python\pythoncore-3.11-64\Lib\site-packages\pandas\core\internals\blocks.py", line 822, in copy
values = values.copy()
^^^^^^^^^^^^^
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 618. KiB for an array with shape (55, 1439) and data type float64