* Add three new bytecodes: LIST_TO_TUPLE, LIST_EXTEND, SET_UPDATE. Use them to implement star unpacking expressions.
* Remove four bytecodes BUILD_LIST_UNPACK, BUILD_TUPLE_UNPACK, BUILD_SET_UNPACK and BUILD_TUPLE_UNPACK_WITH_CALL opcodes as they are now unused.
* Update magic number and dis.rst for new bytecodes.
Deprecate binhex4 and hexbin4 standards. Deprecate the binhex module
and the following binascii functions:
* b2a_hqx(), a2b_hqx()
* rlecode_hqx(), rledecode_hqx()
* crc_hqx()
Remove the buffering parameter of bz2.BZ2File. Since Python 3.0, it
was ignored and using it was emitting a DeprecationWarning. Pass an
open file object to control how the file is opened.
The compresslevel parameter becomes keyword-only.
Remove base64.encodestring() and base64.decodestring(), aliases
deprecated since Python 3.1: use base64.encodebytes() and
base64.decodebytes() instead.
The previous double colon was wrongly place directly after Therefore.
Which produced a block without syntax highlighting. This fixes it
by separating the double colon from the text. As a result, sphinx now
properly highlights the python code.
https://bugs.python.org/issue39348
pstats is really useful or profiling and printing the output of the execution of some block of code, but I've found on multiple occasions when I'd like to access this output directly in an easily usable dictionary on which I can further analyze or manipulate.
The proposal is to add a function called get_profile_dict inside of pstats that'll automatically return this data the data in an easily accessible dict.
The output of the following script:
```
import cProfile, pstats
import pprint
from pstats import func_std_string, f8
def fib(n):
if n == 0:
return 0
if n == 1:
return 1
return fib(n-1) + fib(n-2)
pr = cProfile.Profile()
pr.enable()
fib(5)
pr.create_stats()
ps = pstats.Stats(pr).sort_stats('tottime', 'cumtime')
def get_profile_dict(self, keys_filter=None):
"""
Returns a dict where the key is a function name and the value is a dict
with the following keys:
- ncalls
- tottime
- percall_tottime
- cumtime
- percall_cumtime
- file_name
- line_number
keys_filter can be optionally set to limit the key-value pairs in the
retrieved dict.
"""
pstats_dict = {}
func_list = self.fcn_list[:] if self.fcn_list else list(self.stats.keys())
if not func_list:
return pstats_dict
pstats_dict["total_tt"] = float(f8(self.total_tt))
for func in func_list:
cc, nc, tt, ct, callers = self.stats[func]
file, line, func_name = func
ncalls = str(nc) if nc == cc else (str(nc) + '/' + str(cc))
tottime = float(f8(tt))
percall_tottime = -1 if nc == 0 else float(f8(tt/nc))
cumtime = float(f8(ct))
percall_cumtime = -1 if cc == 0 else float(f8(ct/cc))
func_dict = {
"ncalls": ncalls,
"tottime": tottime, # time spent in this function alone
"percall_tottime": percall_tottime,
"cumtime": cumtime, # time spent in the function plus all functions that this function called,
"percall_cumtime": percall_cumtime,
"file_name": file,
"line_number": line
}
func_dict_filtered = func_dict if not keys_filter else { key: func_dict[key] for key in keys_filter }
pstats_dict[func_name] = func_dict_filtered
return pstats_dict
pp = pprint.PrettyPrinter(depth=6)
pp.pprint(get_profile_dict(ps))
```
will produce:
```
{"<method 'disable' of '_lsprof.Profiler' objects>": {'cumtime': 0.0,
'file_name': '~',
'line_number': 0,
'ncalls': '1',
'percall_cumtime': 0.0,
'percall_tottime': 0.0,
'tottime': 0.0},
'create_stats': {'cumtime': 0.0,
'file_name': '/usr/local/Cellar/python/3.7.4/Frameworks/Python.framework/Versions/3.7/lib/python3.7/cProfile.py',
'line_number': 50,
'ncalls': '1',
'percall_cumtime': 0.0,
'percall_tottime': 0.0,
'tottime': 0.0},
'fib': {'cumtime': 0.0,
'file_name': 'get_profile_dict.py',
'line_number': 5,
'ncalls': '15/1',
'percall_cumtime': 0.0,
'percall_tottime': 0.0,
'tottime': 0.0},
'total_tt': 0.0}
```
As an example, this can be used to generate a stacked column chart using various visualization tools which will assist in easily identifying program bottlenecks.
https://bugs.python.org/issue37958
Automerge-Triggered-By: @gpshead
Since 3.7 `successful` raises a `ValueError` as explained in the next text block from the documentation:
_Changed in version 3.7: If the result is not ready, ValueError is raised instead of AssertionError._
No issue associated with this PR.
Should be backported in 3.7 and 3.8.
On Unix, subprocess.Popen.send_signal() now polls the process status.
Polling reduces the risk of sending a signal to the wrong process if
the process completed, the Popen.returncode attribute is still None,
and the pid has been reassigned (recycled) to a new different
process.
* Reorder the __aenter__ and __aexit__ checks for async with
* Add assertions for async with body being skipped
* Swap __aexit__ and __aenter__ loading in the documentation
Break up COMPARE_OP into four logically distinct opcodes:
* COMPARE_OP for rich comparisons
* IS_OP for 'is' and 'is not' tests
* CONTAINS_OP for 'in' and 'is not' tests
* JUMP_IF_NOT_EXC_MATCH for checking exceptions in 'try-except' statements.
nntplib.NNTP and nntplib.NNTP_SSL now raise a ValueError
if the given timeout for their constructor is zero to
prevent the creation of a non-blocking socket.
poplib.POP3 and poplib.POP3_SSL now raise a ValueError
if the given timeout for their constructor is zero to
prevent the creation of a non-blocking socket.
imaplib.IMAP4 and imaplib.IMAP4_SSL now have an
optional *timeout* parameter for their constructors.
Also, the imaplib.IMAP4.open() method now has an optional *timeout* parameter
with this change. The overridden methods of imaplib.IMAP4_SSL and
imaplib.IMAP4_stream were applied to this change.
Victor Stinner
Ammar Askar
Pablo Galindo
Shanavas M
Mark Shannon
William Woodruff
Dong-hee Na
Inada Naoki
Keith Erskine
Carl Friedrich Bolz-Tereick
Peter Bittner
Andrew Svetlov
Grant Jenks
Oz N Tiram
Daniel Olshansky
Antoine
Elena Oat
Vinay Sajip
Kyle Pollina
Géry Ogam
Batuhan Taşkaya
Zac Hatfield-Dodds
Petr Viktorin
An Long