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- # Query Jupyter server for the value of a variable
- import json
- _VSCODE_max_len = 200
- # In IJupyterVariables.getValue this '_VSCode_JupyterTestValue' will be replaced with the json stringified value of the target variable
- # Indexes off of _VSCODE_targetVariable need to index types that are part of IJupyterVariable
- _VSCODE_targetVariable = json.loads('_VSCode_JupyterTestValue')
-
- _VSCODE_evalResult = eval(_VSCODE_targetVariable['name'])
-
- # Find shape and count if available
- if _VSCODE_targetVariable['type'] in ['ndarray','DataFrame','Series']:
- _VSCODE_targetVariable['shape'] = str(_VSCODE_evalResult.shape)
-
- if _VSCODE_targetVariable['type'] in ['tuple', 'str', 'dict', 'list', 'set', 'ndarray','DataFrame','Series']:
- _VSCODE_targetVariable['count'] = len(_VSCODE_evalResult)
-
- # Get the string of the eval result, truncate it as it could be far too long
- _VSCODE_targetValue = str(_VSCODE_evalResult)
- if len(_VSCODE_targetValue) > _VSCODE_max_len:
- _VSCODE_targetVariable['truncated'] = True
- _VSCODE_targetVariable['value'] = _VSCODE_targetValue[:_VSCODE_max_len]
- else:
- _VSCODE_targetVariable['value'] = _VSCODE_targetValue
-
- print(json.dumps(_VSCODE_targetVariable))
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