Add Test Suite for cTensor

[Advaitgaur004]

Overview

This PR adds a comprehensive test framework to the cTensor project, implementing a test suite for tensor operators and setting up automated CI testing using GitHub Actions.

Changes

1. Test Suite Structure

• Added tests/ directory with the main test runner (cten_tests.c)
• Added  directory for operator-specific tests
• Added tests/Operator/ directory for operator-specific tests
• Added tests/Grad/ directory for gradient-related tests. (*These items are yet to be added).
• Implemented CSV reporter for test results (tests/csv_reporter.c and tests/csv_reporter.h)

2. Operator Tests

Added tests for all operators in src/operator.c, including

• Tensor_add
• Tensor_matmul
• Tensor_mean
• Tensor_mul
• Tensor_mulf
• Tensor_sub
• Tensor_sum

3. CI Integration

• Added GitHub Actions workflow in .github/workflows/run-ctests.yml to build and run tests on Ubuntu, macOS, and Windows
• Added test report analysis script in .github/check_all_results.py to parse CSV test reports
• Added operator coverage checker in .github/check_operator_coverage.py to ensure all operators have tests
• Added workflow in .github/workflows/check-operator-test-coverage.yml to enforce test coverage

4. Memory Management

• Implemented proper memory pool handling in the test framework
• Allocated dedicated pool IDs for test resources

Test Architecture

• All tests compile into a single executable cten_tests
• Tests use a simple CSV reporter to log results for CI analysis
• Each operator has its own test file with multiple test cases
• Test functions are forward-declared in cten_tests.c for centralized management

Guide to Test locally

• Check cTensor\tests\README.md for proper guide

Notes

• The PR enforces test coverage for all operators through CI checks
• Fixed a bug in that was returning an incorrect shape Tensor_sum
• Memory management is now properly handled in the test suite with dedicated pools