Summary of Changes

Hello @JyotinderSingh, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the test coverage for the keras_remote project by introducing a suite of new unit tests across several core components. The changes ensure the reliability and correctness of Cloud Storage operations, container image building logic, accelerator configuration parsing, and geographical constant utilities. Additionally, it establishes a robust testing infrastructure with shared fixtures and proper configuration for both unit and end-to-end tests.

Highlights

• New Unit Tests for Storage Utilities: Added comprehensive unit tests for keras_remote.utils.storage functions, covering artifact upload, download, cleanup, and project resolution logic.
• New Unit Tests for Container Builder: Introduced unit tests for keras_remote.infra.container_builder, validating requirement hashing, Dockerfile generation for various accelerator types, image existence checks, and the get_or_build_container workflow.
• New Unit Tests for Accelerator Parsing: Added extensive unit tests for keras_remote.core.accelerators, ensuring correct parsing of GPU and TPU configurations, handling of aliases, multi-counts, topologies, and error conditions.
• New Unit Tests for Constants and Zone Helpers: Implemented unit tests for keras_remote.constants to verify the functionality of zone-to-region and zone-to-Artifact Registry location conversions, as well as default zone retrieval.
• Shared Pytest Fixtures: Created new conftest.py files to provide shared pytest fixtures, including a sample function for serialization tests, GCP environment variable setup, and mocks for Google Cloud Storage and Kubernetes clients.
• Pyproject.toml Updates: Updated pyproject.toml to include new test dependencies (pytest, pytest-cov, pytest-mock, pytest-timeout), added keras-remote[test] to dev dependencies, and configured pytest to define test paths and an 'e2e' marker.
• E2E Test Configuration: Added a conftest.py for end-to-end tests, introducing a pytest hook to skip E2E tests by default unless the E2E_TESTS environment variable is explicitly set, and a fixture to retrieve the GCP project from environment variables.

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/gemini review