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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def pre_run_cell(self, cellno, code):
 """Executes before the user-entered code in `ipython` is run. This intercepts loops and other problematic code that would produce lots of database entries and streamlines it to produce only a single entry. Args: cellno (int):
 the cell number that is about to be executed. code (str):
 python source code that is about to be executed. """

        #First, we look for loops and list/dict comprehensions in the code. Find
        #the id of the latest cell that was executed.
        self.cellid = cellno
        
        #If there is a loop somewhere in the code, it could generate millions of
        #database entries and make the notebook unusable.
        import ast
        if findloop(ast.parse(code)):
            #Disable the acorn logging systems so that we don't pollute the
            #database.
            from acorn.logging.decoration import set_streamlining
            set_streamlining(True)

            #Create the pre-execute entry for the database.
            from time import time
            self.pre = {
                "m": "loop",
                "a": None,
                "s": time(),
                "r": None,
                "c": code,
            }