pypy

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.
--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_CLEANUP

The interval at which nursery is cleaned up. Must be smaller than the nursery size and bigger than the biggest object we can allotate in the nursery.

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).

SEE ALSO

python(1)