pyarchinit_error_check.py¶

Overview¶

This file contains 7 documented elements.

Classes¶

Error_check¶

No description available. A utility class that provides a collection of basic data validation methods. It includes checks for empty data, integer and float convertibility, string length constraints, and duplicate detection within a list. Each validation method returns 0 or 1 (or a boolean for checkIfDuplicates_3) to indicate failure or success of the respective check.

Methods¶

data_is_empty(self, d)¶

No description available. Checks whether the provided data d is empty or evaluates to a falsy value. Returns 0 if the data is empty (i.e., bool(d) evaluates to False), or 1 if the data is non-empty. This method is part of the Error_check class and is intended for basic data validation.

data_is_int(self, d)¶

No description available. Attempts to cast the provided value d to an integer using Python's built-in int() function. Returns 1 if the conversion succeeds, or 0 if any exception is raised during the attempt. This method serves as a simple integer validation check for the given input.

data_lenght(self, d, l)¶

No description available. Validates that the length of the given data d does not exceed the specified limit l. Returns 0 if the length of d is greater than l, indicating a validation failure, or 1 if the length is within the acceptable range, indicating success.

Parameters: - d — The data whose length is to be checked. - l — The maximum allowable length.

Returns: 0 if len(d) > l, otherwise 1.

data_is_float(self, d)¶

No description available. Attempts to convert the given value d to a float. Returns 1 if the conversion succeeds, or 0 if it raises an exception. This method effectively validates whether the provided input can be interpreted as a floating-point number.

checkIfDuplicates_3(listOfElems)¶

Check if given list contains any duplicates