
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd

class TestTask(unittest.TestCase):
    def setUp(self):
        self.df = pd.DataFrame({
            'loan_id': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
            'risk_score': [45, 60, 55, 70, 62, 49, 80, 73, 58, 66],
            'interest_rate': [5.2, 6.1, 5.8, 7.0, 6.5, 5.4, 7.5, 7.2, 6.0, 6.8]
        })

    def test_histogram_and_boxplot_displayed(self):
        import user_code
        importlib.reload(user_code)
        plt.close('all')
        user_code.visualize_loan_data(self.df)
        figs = [plt.figure(i) for i in plt.get_fignums()]
        _dynamic_test(
            self,
            len(figs) >= 2,
            "Two plots (histogram and boxplot) are displayed.",
            f"Expected at least two plots, found {len(figs)}."
        )

    def test_histogram_title_and_labels(self):
        import user_code
        importlib.reload(user_code)
        plt.close('all')
        user_code.visualize_loan_data(self.df)
        figs = [plt.figure(i) for i in plt.get_fignums()]
        # Histogram is the first figure
        ax = figs[0].axes[0] if figs and figs[0].axes else None
        _dynamic_test(
            self,
            ax is not None,
            "Histogram axis exists.",
            "Histogram axis not found."
        )
        title = ax.get_title()
        xlabel = ax.get_xlabel()
        ylabel = ax.get_ylabel()
        _dynamic_test(
            self,
            "risk" in title.lower() and "score" in title.lower(),
            "Histogram has descriptive title.",
            f"Histogram title is not descriptive: '{title}'"
        )
        _dynamic_test(
            self,
            "risk" in xlabel.lower(),
            "Histogram has descriptive x-axis label.",
            f"Histogram x-axis label is not descriptive: '{xlabel}'"
        )
        _dynamic_test(
            self,
            "loan" in ylabel.lower() or "count" in ylabel.lower() or "number" in ylabel.lower(),
            "Histogram has descriptive y-axis label.",
            f"Histogram y-axis label is not descriptive: '{ylabel}'"
        )

    def test_boxplot_title_and_labels(self):
        import user_code
        importlib.reload(user_code)
        plt.close('all')
        user_code.visualize_loan_data(self.df)
        figs = [plt.figure(i) for i in plt.get_fignums()]
        # Boxplot is the second figure
        ax = figs[1].axes[0] if len(figs) > 1 and figs[1].axes else None
        _dynamic_test(
            self,
            ax is not None,
            "Boxplot axis exists.",
            "Boxplot axis not found."
        )
        title = ax.get_title()
        xlabel = ax.get_xlabel()
        _dynamic_test(
            self,
            "box" in title.lower() and "interest" in title.lower(),
            "Boxplot has descriptive title.",
            f"Boxplot title is not descriptive: '{title}'"
        )
        _dynamic_test(
            self,
            "interest" in xlabel.lower() and "rate" in xlabel.lower(),
            "Boxplot has descriptive x-axis label.",
            f"Boxplot x-axis label is not descriptive: '{xlabel}'"
        )

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

def normalize_text(text):
    text = text.lower()
    text = re.sub(r"\\s{2,}", " ", text)
    text = re.sub(r"\\s*([,:?])\\s*", r"\\1 ", text)
    return text.strip()

def change_var(code: str, var_name: str, value: str) -> str:
    tree = ast.parse(code)
    lines = code.splitlines()
    changed = False
    # Collect all assignment nodes to modify
    assign_nodes = [
        (i, node)
        for i, node in enumerate(tree.body)
        if isinstance(node, ast.Assign)
        and any(isinstance(target, ast.Name) and target.id == var_name for target in node.targets)
    ]

    # If nothing to change, return unmodified code
    if not assign_nodes:
        return code

    # Perform replacements for all matching assignments (from last to first to not break line offsets)
    for i, node in reversed(assign_nodes):
        start_line = node.lineno - 1
        line = lines[start_line]
        indent = ' ' * (len(line) - len(line.lstrip()))
        lines[start_line] = f"{indent}{var_name} = {value}"
        next_line = len(lines)
        for next_node in tree.body[i+1:]:
            if hasattr(next_node, 'lineno'):
                next_line = next_node.lineno - 1
                break
        if next_line > start_line + 1:
            lines[start_line+1:next_line] = []
        changed = True

    return '\\n'.join(lines) if changed else code

if __name__ == "__main__":
    unittest.main()


test_main.py

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Learn how to use Python to analyze, manipulate, and visualize financial data relevant to banking operations.

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Explore how Python can automate banking tasks and help detect fraudulent activities using data analysis techniques.

Challenge: Visualize Loan Data

Solução

Challenge: Visualize Loan Data

Solução