NAME

       pypy - fast, compliant alternative implementation of the Python language

SYNOPSIS

       pypy [options] [-c cmd|-m mod|file.py|-] [arg...]

OPTIONS

       -i     Inspect interactively after running script.

       -O     Skip assert statements.

       -OO    Remove docstrings when importing modules in addition to -O.

       -c CMD Program passed in as CMD (terminates option list).

       -S     Do not import site on initialization.

       -s     Don't add the user site directory to sys.path.

       -u     Unbuffered binary stdout and stderr.

       -h, --help
              Show a help message and exit.

       -m MOD Library module to be run as a script (terminates option list).

       -W ARG Warning control (arg is action:message:category:module:lineno).

       -E     Ignore environment variables (such as PYTHONPATH).

       -B     Disable writing bytecode (.pyc) files.

       -X track-resources
              Produce  a  ResourceWarning  whenever  a  file  or  socket is closed by the garbage
              collector.

       --version
              Print the PyPy version.

       --info Print translation information about this PyPy executable.

       --jit ARG
              Low level JIT parameters.  Mostly internal.  Run --jit help for more information.

ENVIRONMENT

       PYTHONPATH
              Add directories to pypy's module search path.  The format is the  same  as  shell's
              PATH.

       PYTHONSTARTUP
              A  script  referenced  by this variable will be executed before the first prompt is
              displayed, in interactive mode.

       PYTHONDONTWRITEBYTECODE
              If set to a non-empty value, equivalent to the -B  option.   Disable  writing  .pyc
              files.

       PYTHONINSPECT
              If  set  to  a non-empty value, equivalent to the -i option.  Inspect interactively
              after running the specified script.

       PYTHONIOENCODING
              If this is set, it overrides the encoding used for stdin/stdout/stderr.  The syntax
              is  encodingname:errorhandler  The  errorhandler  part is optional and has the same
              meaning as in str.encode.

       PYTHONNOUSERSITE
              If set to a non-empty value, equivalent to the -s option.  Don't add the user  site
              directory to sys.path.

       PYTHONWARNINGS
              If  set,  equivalent  to  the  -W  option (warning control).  The value should be a
              comma-separated list of -W parameters.

       PYPYLOG
              If set to a non-empty value, enable logging, the format is:

              fname or +fname
                     logging for profiling:  includes  all  debug_start/debug_stop  but  not  any
                     nested  debug_print.   fname can be - to log to stderr.  The +fname form can
                     be used if there is a : in fname

              :fname Full logging, including debug_print.

              prefix:fname
                     Conditional logging.  Multiple prefixes can be  specified,  comma-separated.
                     Only sections whose name match the prefix will be logged.

              PYPYLOG=jit-log-opt,jit-backend:logfile will generate a log suitable for jitviewer,
              a tool for debugging performance issues under PyPy.

       PYPY_IRC_TOPIC
              If set to a non-empty  value,  print  a  random  #pypy  IRC  topic  at  startup  of
              interactive mode.

       PyPy's  default  incminimark garbage collector is configurable through several environment
       variables:

       PYPY_GC_NURSERY
              The nursery size.  Defaults to 1/2 of your cache or 4M.  Small values  (like  1  or
              1KB) are useful for debugging.

       PYPY_GC_NURSERY_DEBUG
              If set to non-zero, will fill nursery with garbage, to help debugging.

       PYPY_GC_INCREMENT_STEP
              The  size  of  memory  marked  during the marking step.  Default is size of nursery
              times 2. If you mark it too high your GC is not incremental at all.  The minimum is
              set to size that survives minor collection times 1.5 so we reclaim anything all the
              time.

       PYPY_GC_MAJOR_COLLECT
              Major collection memory factor.  Default is  1.82,  which  means  trigger  a  major
              collection when the memory consumed equals 1.82 times the memory really used at the
              end of the previous major collection.

       PYPY_GC_GROWTH
              Major collection threshold's max growth rate.  Default is 1.4.  Useful  to  collect
              more  often  than  normally on sudden memory growth, e.g. when there is a temporary
              peak in memory usage.

       PYPY_GC_MAX
              The max heap size.  If coming near this limit, it will first  collect  more  often,
              then  raise  an  RPython  MemoryError, and if that is not enough, crash the program
              with a fatal error.  Try values like 1.6GB.

       PYPY_GC_MAX_DELTA
              The major collection threshold will never be set to more than PYPY_GC_MAX_DELTA the
              amount  really  used  after  a collection.  Defaults to 1/8th of the total RAM size
              (which is constrained to be at most 2/3/4GB on 32-bit systems).   Try  values  like
              200MB.

       PYPY_GC_MIN
              Don't  collect while the memory size is below this limit.  Useful to avoid spending
              all the time in the GC in very small programs.  Defaults to 8 times the nursery.

       PYPY_GC_DEBUG
              Enable extra checks around collections that are too slow for  normal  use.   Values
              are 0 (off), 1 (on major collections) or 2 (also on minor collections).

       PYPY_GC_MAX_PINNED
              The  maximal  number  of  pinned  objects  at  any  point  in  time.  Defaults to a
              conservative value depending on nursery size and maximum  object  size  inside  the
              nursery.  Useful for debugging by setting it to 0.

SEE ALSO

       python(1)

AUTHOR

       The PyPy Project

COPYRIGHT

       2018, The PyPy Project