Codebase Topic Breakdown
The switchvsversion
codebase aims to analyze the differences between using switch
statements and if
-else
chains for handling conditional logic. This breakdown outlines the structure and functionality of the code.
Main Files
switchvsversion.py
: This is the main Python script that performs the comparison and analysis. It includes the following functions:generate_switch_code(cases, variable_name)
: Generates code for aswitch
statement based on the given cases.generate_if_else_code(cases, variable_name)
: Generates code for anif
-else
chain based on the given cases.execute_code(code, variable_name, value)
: Executes the generated code and returns the output.measure_execution_time(code, variable_name, value)
: Measures the execution time of the generated code.compare_performance(cases, variable_name, values)
: Compares the performance ofswitch
andif
-else
for various input values.analyze_results(results)
: Analyzes the performance comparison results.
cases.py
: Contains a list of different cases or scenarios for testing the conditional logic. Each case is a dictionary with the following keys:name
: Name of the case.cases
: A list of values for the variable to test.variable_name
: The name of the variable used in the conditional logic.
results.py
: Stores the results of the performance comparison.
Usage
The code can be executed with the following command:
python switchvsversion.py
Options
The switchvsversion.py
script supports several options:
--cases
: Specify the path to a custom cases file. The default iscases.py
.--output
: Specify the output file for the analysis results. The default isresults.json
.--iterations
: Specify the number of iterations for performance measurements. The default is 1000.--plot
: Generate a plot comparing the performance ofswitch
andif
-else
.
Example:
python switchvsversion.py --cases custom_cases.py --output results.csv --iterations 5000 --plot
This command will use custom_cases.py
for test cases, save the results in results.csv
, perform 5000 iterations, and generate a performance plot.
Code Snippets
switchvsversion.py
def generate_switch_code(cases, variable_name):
# ...
def generate_if_else_code(cases, variable_name):
# ...
def execute_code(code, variable_name, value):
# ...
def measure_execution_time(code, variable_name, value):
# ...
def compare_performance(cases, variable_name, values):
# ...
def analyze_results(results):
# ...
cases.py
cases = [
{
"name": "Case 1",
"cases": [1, 2, 3],
"variable_name": "value"
},
# ...
]
results.py
results = {
"case_name": {
"switch_time": [],
"if_else_time": []
},
# ...
}