human
I am working on the file "Python_Misc/TMWP_DFBuilder_OO_PY/testing_and_documentation/TMWP_DFBuilder_AbstractClass_Module_Testing.ipynb".
The first task is:
Code Testing
The abstract class which follows is intended to be the "work horse" of this code.  Intent is that it gets the developer to the point where all they need to think about is what their final subclass will do to enrich the data.  The parent class sets up a loop that can extract from a larger input DF, a small number of rows to be operated on in a temp DF and then be added to an outputDF.  In the event of something interrupting the process (a common event when dealing with web APIs), modified rows created before the incident are waiting in output DF and can be extracted. Then code can be restarted or continued to allow building up the rest of the Dataframe without losing previous work or having to go all the way back to the beginnin.
This test notebook sets up a subclass that will never be used in the real world.  There are more efficient ways to modify a DF with the example selected for this test.  The test's intent is simply to show that most of the core logic works before we test a subclass that is slower and more involved because it actually makes calls to a web API.
Can you write Python code for it?

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Here their final subclass will do to enrich the data?
assistant
#Here their final subclass will do to enrich the data.

who

from abc import ABCMeta, abstractmethod
import pandas as pd

class DFBuilder(object, metaclass=ABCMeta):       # sets up abstract class
    def __init__(self,endRw,time_delay):          # abstract classes can be subclassed
        self.endRow=endRw                         # but cannot be instantiated
        self.delay=time_delay
        self.tmpDF=pd.DataFrame()   # temp DF will be endRow rows in length
        self.outDF=pd.DataFrame()   # final DF build in sets of endRow rows so all is not lost in a failure
        self.lastIndex = None
        # self.start=0
        
    def __str__(self):
        return ("Global Settings for this object: \n" +  
               "endRow: " + str(self.endRow) + "\n" + 
               "delay:  " + str(self.delay) + "\n" + 
               "Length of outDF: " + str(len(self.outDF)) + "\n" +
               "nextIndex: " + str(self.lastIndex))       # if continuing with last added table - index of next rec.
        
    @abstractmethod                               # abstract method definition in Python
    def _modifyTempDF_(): pass                    # This method will operate on TempDF inside the loop
    
    def buildOutDF(self, inputDF):
        '''Scans inputDF using self.endRow rows (default of 5) at a time to do it.  It then calls in logic
from _modifyTempDF()_ to make changes to each subset of rows and appends tiny tempDF onto an outDF.  When the 
subclass is using a web API, self.time_delay tells it how much time to delay each iteration of the loop.  All
parameters are set during initialization of the object.  Should this function fail in the middle, outDF will
have all work up to the failure.  This can be saved out to a DF or csv.  The function can be run again on
a subset of the data (the records not encountered yet before the failure).'''
    
        lenDF = len(inputDF)
        print("Processing inputDF of length: ", lenDF)
        endIndx = 0

        i = 0
        while i < lenDF:
            # print("i: ", i)
            endIndx = i + self.endRow
        ...