Debugging and profiling

Pustaka-pustaka ini membantu Anda dalam pengembangan Python: debugger memungkinkan Anda untuk menelusuri kode, menganalisis bingkai tumpukan (stack frames), dan mengatur breakpoints dll., Dan profiler menjalankan kode dan memberi Anda rincian waktu eksekusi, yang memungkinkan Anda untuk mengidentifikasi kemacetan (bottlenecks) dalam program Anda. Audit memberikan visibilitas ke dalam perilaku runtime yang seharusnya memerlukan debugging atau patch yang mengganggu.

• Audit events table
• bdb --- Debugger framework
• faulthandler --- Dump the Python traceback
  • Dumping the traceback
  • Dumping the C stack
    • C Stack Compatibility
  • Fault handler state
  • Dumping the tracebacks after a timeout
  • Dumping the traceback on a user signal
  • Issue with file descriptors
  • Contoh
• pdb --- The Python Debugger
  • Command-line interface
  • Debugger commands
• profiling --- Python profilers
  • Introduction to profiling
  • Choosing a profiler
    • When to use statistical sampling
    • When to use deterministic tracing
  • Quick start
    • Statistical profiling
    • Deterministic profiling
  • Understanding profile output
  • Legacy compatibility
    • profiling.tracing --- Deterministic profiler
      • What is deterministic profiling?
      • Command-line interface
      • Programmatic usage examples
        • Basic profiling
        • Using the Profile class
      • Module reference
      • Using a custom timer
      • Limitations
    • profiling.sampling --- Statistical profiler
      • What is statistical profiling?
        • How time is estimated
        • When to use a different approach
      • Quick examples
      • Commands
        • The run command
        • The attach command
        • Profiling in production
        • Platform requirements
        • Version compatibility
      • Sampling configuration
        • Sampling interval and duration
        • Thread selection
        • Special frames
        • Opcode-aware profiling
        • Real-time statistics
        • Sampling efficiency
      • Profiling modes
        • Wall-clock mode
        • CPU mode
        • Comparing wall-clock and CPU profiles
        • GIL mode
        • Exception mode
      • Output formats
        • pstats format
        • Collapsed stacks format
        • Flame graph format
        • Gecko format
        • Heatmap format
      • Live mode
        • Keyboard commands
      • Async-aware profiling
        • Async modes
        • Task markers and stack reconstruction
        • Option restrictions
      • Command-line interface
        • Global options
        • Sampling options
        • Mode options
        • Output options
        • pstats display options
        • Run command options
• pstats --- Statistics for profilers
  • Reading and displaying profile data
    • Working with statistics
    • Filtering output
    • Analyzing call relationships
    • Combining multiple profiles
  • The Stats class
  • Command-line interface
• timeit --- Measure execution time of small code snippets
  • Basic Examples
  • Python Interface
  • Command-Line Interface
  • Contoh-contoh
• trace --- Trace or track Python statement execution
  • Command-Line Usage
    • Main options
    • Modifiers
    • Filters
  • Programmatic Interface
• tracemalloc --- Trace memory allocations
  • Contoh-contoh
    • Display the top 10
    • Compute differences
    • Get the traceback of a memory block
    • Pretty top
      • Record the current and peak size of all traced memory blocks
  • API
    • Fungsi-Fungsi
    • DomainFilter
    • Filter
    • Frame
    • Snapshot
    • Statistic
    • StatisticDiff
    • Trace
    • Traceback