# HDH Deployment Configuration
# Configuration file for the HDH deployment example

# Logging configuration
logging:
  level: INFO
  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
  file: "hdh_deployment.log"

# Output settings
output:
  directory: "hdh_results"
  save_plots: true
  plot_format: "png"
  plot_dpi: 300

# Circuit processing settings
circuits:
  max_qubits: 10
  default_partitions: 3
  enable_visualization: true
  save_intermediate: false

# Performance settings
performance:
  timeout_seconds: 300
  max_memory_gb: 8
  parallel_processing: false

# QASM processing
qasm:
  supported_versions: ["2.0"]
  max_file_size_mb: 10
  validate_syntax: true

# Benchmarking settings
benchmark:
  repetitions: 3
  warmup_runs: 1
  measure_memory: true
  save_detailed_metrics: true

# Visualization settings
visualization:
  figsize: [12, 8]
  node_colors:
    quantum: "#FF6B6B"
    classical: "#4DABF7"
  edge_colors:
    quantum: "#FF8E53"
    classical: "#69DB7C"
  layout: "spring"
  node_size: 100
  edge_width: 1.5

# Docker settings (for containerized deployment)
docker:
  base_image: "python:3.11-slim"
  working_dir: "/app"
  expose_port: 8080

# Development settings
development:
  debug_mode: false
  verbose_logging: false
  save_debug_info: false