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