1f786a83ce
- Multi-language source code (Python, JavaScript, Java, C++, Go) - Configuration files (JSON, YAML, INI) - Sample data files (CSV, JSON, logs) - Binary and media assets (PNG, SVG, PDF) - Test files and deployment scripts - Nested directory structure for testing Git features 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
101 lines
2.8 KiB
Python
101 lines
2.8 KiB
Python
import pytest
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import sys
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import os
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# Add src directory to path for imports
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', 'src'))
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from utils import generate_random_string, hash_string, flatten_dict, chunk_list, DataProcessor
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class TestUtils:
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def test_generate_random_string(self):
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# Test default length
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result = generate_random_string()
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assert len(result) == 10
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assert result.isalnum()
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# Test custom length
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result = generate_random_string(5)
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assert len(result) == 5
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# Test uniqueness
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result1 = generate_random_string(20)
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result2 = generate_random_string(20)
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assert result1 != result2
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def test_hash_string(self):
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# Test SHA256 (default)
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result = hash_string("hello")
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assert len(result) == 64 # SHA256 produces 64 character hex string
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# Test MD5
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result = hash_string("hello", "md5")
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assert len(result) == 32 # MD5 produces 32 character hex string
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# Test consistency
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result1 = hash_string("test")
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result2 = hash_string("test")
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assert result1 == result2
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def test_flatten_dict(self):
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nested = {
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"a": 1,
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"b": {
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"c": 2,
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"d": {
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"e": 3
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}
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}
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}
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expected = {
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"a": 1,
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"b.c": 2,
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"b.d.e": 3
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}
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result = flatten_dict(nested)
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assert result == expected
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# Test custom separator
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result = flatten_dict(nested, sep="_")
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assert "b_c" in result
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assert "b_d_e" in result
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def test_chunk_list(self):
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data = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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result = chunk_list(data, 3)
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expected = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
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assert result == expected
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# Test uneven chunks
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result = chunk_list(data, 4)
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expected = [[1, 2, 3, 4], [5, 6, 7, 8], [9]]
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assert result == expected
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# Test empty list
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result = chunk_list([], 3)
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assert result == []
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class TestDataProcessor:
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def test_process_numbers(self):
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processor = DataProcessor()
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numbers = [1.0, 2.0, 3.0, 4.0, 5.0]
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result = processor.process_numbers(numbers)
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assert result['count'] == 5
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assert result['sum'] == 15.0
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assert result['average'] == 3.0
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assert result['min'] == 1.0
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assert result['max'] == 5.0
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assert processor.processed_count == 1
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def test_process_numbers_empty_list(self):
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processor = DataProcessor()
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result = processor.process_numbers([])
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assert result == {}
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assert processor.processed_count == 0 |