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Copy pathwaste_of_time.py
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1927 lines (1639 loc) · 65.9 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""\
waste_of_time.py - pymongo profiling
====== ====================
usage: waste_of_time.py [OPTIONS]
waste_of_time.py [--check] --profile
waste_of_time.py [--ref-time] --stats [profiler-file, ...]
or import waste_of_time
====== ====================
Options
=======
-c, --check check encoding result
--dict-type DICT dict type to use for data (default: OrderedDict)
-p, --profile run with profiler
-s, --stats print profiler statistics
-r, --ref-time=FLOAT reference time
--calibrate calibrate profiler (not needed for cProfile)
-q, --quiet suppress warnings
-v, --verbose verbose test output
-d, --debug=NUM show debug information
-t, --test run doc tests
-h, --help display this help message
Module Members
==============
"""
# --------------------------------------------------
# |||:sec:||| COMPATIBILITY
# --------------------------------------------------
import sysconfig
import sys
import os
# put build directory at beginning of path
build_lib_dir = ''.join(('build/lib.', sysconfig.get_platform(), '-', str(sys.version_info[0]), '.', str(sys.version_info[1])))
if os.path.exists(build_lib_dir):
sys.path.insert(0, build_lib_dir)
import sys
# (progn (forward-line 1) (snip-insert-mode "py.b.printf" t) (insert "\n"))
# adapted from http://www.daniweb.com/software-development/python/code/217214
try:
printf = eval("print") # python 3.0 case
except SyntaxError:
printf_dict = dict()
try:
exec("from __future__ import print_function\nprintf=print", printf_dict)
printf = printf_dict["printf"] # 2.6 case
except SyntaxError:
def printf(*args, **kwd): # 2.4, 2.5, define our own Print function
fout = kwd.get("file", sys.stdout)
w = fout.write
if args:
w(str(args[0]))
sep = kwd.get("sep", " ")
for a in args[1:]:
w(sep)
w(str(a))
w(kwd.get("end", "\n"))
del printf_dict
# (progn (forward-line 1) (snip-insert-mode "py.b.sformat" t) (insert "\n"))
try:
('{0}').format(0)
def sformat (fmtspec, *args, **kwargs):
return fmtspec.format(*args, **kwargs)
except AttributeError:
try:
import stringformat
def sformat (fmtspec, *args, **kwargs):
return stringformat.FormattableString(fmtspec).format(
*args, **kwargs)
except ImportError:
printf('error: stringformat missing. Try `easy_install stringformat`.', file=sys.stderr)
# (progn (forward-line 1) (snip-insert-mode "py.f.isstring" t) (insert "\n"))
# hide from 2to3
exec('''
def isstring(obj):
return isinstance(obj, basestring)
''')
try:
isstring("")
except NameError:
def isstring(obj):
return isinstance(obj, str) or isinstance(obj, bytes)
# (progn (forward-line 1) (snip-insert-mode "py.b.dict_items" t) (insert "\n"))
try:
getattr(dict(), 'iteritems')
ditems = lambda d: getattr(d, 'iteritems')()
dkeys = lambda d: getattr(d, 'iterkeys')()
dvalues = lambda d: getattr(d, 'itervalues')()
except AttributeError:
ditems = lambda d: getattr(d, 'items')()
dkeys = lambda d: getattr(d, 'keys')()
dvalues = lambda d: getattr(d, 'values')()
import os
import re
try:
reduce
except NameError:
from functools import reduce
try:
from collections import OrderedDict
except ImportError:
try:
from ordereddict import OrderedDict
except ImportError:
printf('error: ordereddict missing. Try `easy_install ordereddict`.', file=sys.stderr)
sys.exit(1)
import collections
collections.OrderedDict = OrderedDict
# --------------------------------------------------
# |||:sec:||| FUNCTIONS
# --------------------------------------------------
hlr = None
def hlcr(title=None, tag='|||' ':CHP:|||', rule_width=50, **kwargs): # ||:fnc:||
comm = globals()['dbg_comm'] if 'dbg_comm' in globals() else '# '
dstr = []
dstr.append(''.join((comm, '-' * rule_width)))
if title:
dstr.append(sformat('{0}{2:^{1}} {3!s}',
comm, globals()['dbg_twid'] if 'dbg_twid' in globals() else 9,
tag, title))
dstr.append(''.join((comm, '-' * rule_width)))
return '\n'.join(dstr)
def hlsr(title=None, tag='||' ':SEC:||', rule_width=35, **kwargs): # |:fnc:|
return hlcr(title, tag, rule_width)
def hlssr(title=None, tag='|' ':INF:|', rule_width=20, **kwargs): # |:fnc:|
return hlcr(title, tag, rule_width)
def hlc(*args, **kwargs): # |:fnc:|
for line in hlcr(*args, **kwargs).splitlines():
printe(line, **kwargs)
def hls(*args, **kwargs): # |:fnc:|
for line in hlsr(*args, **kwargs).splitlines():
printe(line, **kwargs)
def hlss(*args, **kwargs): # |:fnc:|
for line in hlssr(*args, **kwargs).splitlines():
printe(line, **kwargs)
def hl(*args, **kwargs): # |:fnc:|
for line in hlr(*args, **kwargs).splitlines():
printe(line, **kwargs)
def hl_lvl(level=0): # |:fnc:|
global hlr
if level == 0:
hlr = hlssr
elif level == 1:
hlr = hlsr
else:
hlr = hlcr
hl_lvl(0)
def printe(*args, **kwargs): # ||:fnc:||
kwargs['file'] = kwargs.get('file', sys.stdout)
printf(*args, **kwargs)
# --------------------------------------------------
# |||:sec:||| APPLICATION
# --------------------------------------------------
import traceback
import random
import time
from datetime import datetime, timedelta
import json
import pymongo_context
import bson
from bson.son import SON
import pymongo
pymongo_version = '.'.join([str(p) for p in pymongo.version_tuple]).replace('.+', '+')
def feature_enable_c(*args, **kwargs):
return bson.set_context(bson.get_context().enable_c(*args, **kwargs))
def feature_enable_c_encoding(*args, **kwargs):
return bson.set_context(bson.get_context().enable_c_encoding(*args, **kwargs))
def feature_enable_c_decoding(*args, **kwargs):
return bson.set_context(bson.get_context().enable_c_decoding(*args, **kwargs))
def feature_is_c_enabled(*args, **kwargs):
return bson.get_context().is_c_enabled(*args, **kwargs)
def feature_is_c_encoding_enabled(*args, **kwargs):
return bson.get_context().is_c_encoding_enabled(*args, **kwargs)
def feature_is_c_decoding_enabled(*args, **kwargs):
return bson.get_context().is_c_decoding_enabled(*args, **kwargs)
def feature_enable_hook(*args, **kwargs):
return bson.set_context(bson.get_context().enable_hook(*args, **kwargs))
def feature_enable_getstate_hook(on=True):
return feature_enable_hook(on, '__getstate__', True)
def feature_enable_dict_hook(on=True):
return feature_enable_hook(on, '__dict__', True)
def feature_enable_bson_hook(on=True):
return feature_enable_hook(on, '__bson__', False)
def show_context():
print(bson._context)
hl()
import bson.json_util
dict_type = SON
dict_type = OrderedDict
DATA_COUNT = 1000
CYCLES = 100
CONVERTIBLE_COUNT = 1
MAX_CONVERTIBLE_COUNT = 5
def make_data():
data = dict_type([('key' + str(i), i) for i in range(DATA_COUNT)])
return data
def make_key(data):
key_indx = random.randint(0, len(data) - MAX_CONVERTIBLE_COUNT)
return ('key' + str(key_indx), key_indx)
DATA = make_data()
import copy
SV_DATA = copy.deepcopy(DATA)
#KEYS = [make_key(DATA) for indx in range(CYCLES)]
#print(repr(KEYS))
KEYS = [
('key758', 758),
('key988', 988),
('key417', 417),
('key428', 428),
('key11', 11),
('key620', 620),
('key907', 907),
('key931', 931),
('key44', 44),
('key817', 817),
('key74', 74),
('key109', 109),
('key24', 24),
('key214', 214),
('key566', 566),
('key442', 442),
('key479', 479),
('key151', 151),
('key394', 394),
('key300', 300),
('key135', 135),
('key914', 914),
('key620', 620),
('key829', 829),
('key330', 330),
('key81', 81),
('key790', 790),
('key639', 639),
('key905', 905),
('key993', 993),
('key898', 898),
('key511', 511),
('key524', 524),
('key730', 730),
('key951', 951),
('key896', 896),
('key529', 529),
('key945', 945),
('key421', 421),
('key419', 419),
('key355', 355),
('key70', 70),
('key13', 13),
('key649', 649),
('key524', 524),
('key613', 613),
('key495', 495),
('key27', 27),
('key782', 782),
('key586', 586),
('key942', 942),
('key345', 345),
('key6', 6),
('key780', 780),
('key182', 182),
('key931', 931),
('key209', 209),
('key732', 732),
('key281', 281),
('key987', 987),
('key257', 257),
('key904', 904),
('key676', 676),
('key579', 579),
('key352', 352),
('key534', 534),
('key972', 972),
('key977', 977),
('key355', 355),
('key276', 276),
('key179', 179),
('key536', 536),
('key618', 618),
('key477', 477),
('key371', 371),
('key68', 68),
('key943', 943),
('key697', 697),
('key250', 250),
('key318', 318),
('key692', 692),
('key586', 586),
('key64', 64),
('key803', 803),
('key825', 825),
('key242', 242),
('key850', 850),
('key550', 550),
('key124', 124),
('key880', 880),
('key248', 248),
('key641', 641),
('key189', 189),
('key320', 320),
('key907', 907),
('key75', 75),
('key283', 283),
('key506', 506),
('key372', 372),
('key251', 251)]
CHECK_RESULT = False
ENCODING_RESULTS = {}
def check_encoding_result(eres, indx, variant='no_class'): # ||:fnc:||
if not CHECK_RESULT:
return True
eres_key = CONVERTIBLE.__name__ + '|' + str(CONVERTIBLE_COUNT) + '|' + variant
if eres_key in ENCODING_RESULTS:
eres_list, reported = ENCODING_RESULTS[eres_key]
else:
eres_list = list()
reported = False
ENCODING_RESULTS[eres_key] = [ eres_list, reported ]
if indx < len(eres_list):
eres_expected = eres_list[indx]
if eres != eres_expected:
if reported:
lbars = ' '
rbars = ' '
else:
lbars = '||'
rbars = '||'
printe(sformat('# {4}:ERR:{5} encoding results for {0} differ at {1:d} t: {2:d} e: {3:d}',
eres_key, indx,
len(eres),
len(eres_expected),
lbars, rbars,
))
if not reported:
import binascii
limit = min(len(eres), len(eres_expected))
diffs = []
for indx2 in range(limit):
if eres[indx2] != eres_expected[indx2]:
diffs.append((indx2, eres[indx2], eres_expected[indx2]))
limit = 200
indx = 0
for indx2, tb, eb in diffs:
printe(sformat('{0:>5d}: {1} {2}', indx2, binascii.hexlify(tb), binascii.hexlify(eb)))
indx += 1
if indx >= limit:
break
ENCODING_RESULTS[eres_key][1] = True
return False
else:
eres_list.append(eres)
return True
# --------------------------------------------------
# |||:sec:||| Test Objects
# --------------------------------------------------
class FlatConvertible(object): # ||:cls:||
def __getstate__(self):
return dict(vars(self))
def __bson__(self):
return { '_$class': self.__class__.__name__, '$_state': self.__getstate__() }
class DeepConvertible(FlatConvertible): # ||:cls:||
def __getstate__(self):
d = dict(vars(self))
d.update({'a': FlatConvertible(), 'b': FlatConvertible()})
return d
class KaputtConvertible(FlatConvertible): # ||:cls:||
def __getattribute__(self, attr):
if attr == '__dict__':
return list()
return super(KaputtConvertible, self).__getattribute__(attr)
def __getstate__(self):
raise TypeError("not with me, you don't!")
CONVERTIBLE = FlatConvertible
class waste_of_time_Encoder(json.JSONEncoder): # ||:cls:||
def default(self, obj):
try:
serialized = bson.json_util.default(obj)
failed = False
except TypeError:
failed = true
self.wt = self.totally_wasted_time
if not failed:
return serialized
return json.JSONEncoder.default(self, obj)
PROFILING = OrderedDict()
def prepare_data(data, indx): # ||:fnc:||
if indx == 0:
eres_key = CONVERTIBLE.__name__ + '|' + str(CONVERTIBLE_COUNT) + '|no_class'
if eres_key in ENCODING_RESULTS:
ENCODING_RESULTS[eres_key][1] = False
eres_key = CONVERTIBLE.__name__ + '|' + str(CONVERTIBLE_COUNT) + '|class'
if eres_key in ENCODING_RESULTS:
ENCODING_RESULTS[eres_key][1] = False
key, key_indx = KEYS[indx]
for indx2 in range(CONVERTIBLE_COUNT):
data['key' + str(key_indx+indx2)] = CONVERTIBLE()
def restore_data(data, indx): # ||:fnc:||
#global DATA
#DATA = copy.deepcopy(SV_DATA)
key, key_indx = KEYS[indx]
for indx2 in range(CONVERTIBLE_COUNT):
data['key' + str(key_indx+indx2)] = key_indx + indx2
def report_times(total_time, wasted_time=None, totally_wasted_time=None, ref_time=None, json_time=None, bson_time=None): # ||:fnc:||
now = datetime.now()
tzero = now - now
hl_ok = False
if json_time is not None:
hl_ok = True
json_time.append(tzero)
json_time_sum = reduce(lambda x, y: x + y, json_time)
json_time_avg = json_time_sum / CYCLES
print('json_time_sum (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(json_time_sum))
print('json_time_avg (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(json_time_avg))
if bson_time is not None:
hl_ok = True
bson_time.append(tzero)
bson_time_sum = reduce(lambda x, y: x + y, bson_time)
bson_time_avg = bson_time_sum / CYCLES
print('bson_time_sum (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(bson_time_sum))
print('bson_time_avg (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(bson_time_avg))
if wasted_time is not None:
hl_ok = True
wasted_time.append(tzero)
wasted_time_sum = reduce(lambda x, y: x + y, wasted_time)
wasted_time_avg = wasted_time_sum / CYCLES
print('wasted_time_sum (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(wasted_time_sum))
print('wasted_time_avg (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(wasted_time_avg))
if totally_wasted_time is not None:
hl_ok = True
totally_wasted_time.append(tzero)
totally_wasted_time_sum = reduce(lambda x, y: x + y, totally_wasted_time)
totally_wasted_time_avg = totally_wasted_time_sum / CYCLES
print('totally_wasted_time_sum (' + str(CYCLES) + '/' + str(DATA_COUNT) + '): ' + str(totally_wasted_time_sum))
print('totally_wasted_time_avg (' + str(CYCLES) + '/' + str(DATA_COUNT) + '): ' + str(totally_wasted_time_avg))
if wasted_time is not None:
overall_wasted_time_sum = wasted_time_sum + totally_wasted_time_sum
overall_wasted_time_avg = wasted_time_avg + totally_wasted_time_avg
print('overall_wasted_time_sum (' + str(CYCLES) + '/' + str(DATA_COUNT) + '): ' + str(overall_wasted_time_sum))
print('overall_wasted_time_avg (' + str(CYCLES) + '/' + str(DATA_COUNT) + '): ' + str(overall_wasted_time_avg))
if total_time is not None:
if hl_ok:
hl()
if ref_time is not None:
factor = ' factor: ' + str(
round((float(total_time.seconds * 1000000 + total_time.microseconds)
/ (ref_time.seconds * 1000000 + ref_time.microseconds)) * 100)
/ 100)
else:
factor = ''
print('total_time (' + str(CYCLES) + '/' + str(DATA_COUNT) + ') : ' + str(total_time) + factor)
# --------------------------------------------------
# |||:sec:||| waste_some_time_running_into_an_exception
# --------------------------------------------------
def encode_waste_some_time_running_into_an_exception_prof(data): # ||:fnc:||
return bson.BSON.encode(data)
def waste_some_time_running_into_an_exception_prof(): # ||:fnc:||
data = DATA
first = True
for indx in range(CYCLES):
key, key_indx = KEYS[indx]
data[key] = list
try:
encode_waste_some_time_running_into_an_exception_prof(data)
except Exception:
if first:
(t, e, tb) = sys.exc_info()
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e', type(e)))
if hasattr(e, 'bson_error_parent'):
parent = e.bson_error_parent
if parent is not None:
lp = len(parent)
else:
lp = -1
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_parent', lp))
if hasattr(e, 'bson_error_key') and e.bson_error_key is not None:
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_key', e.bson_error_key))
if hasattr(e, 'bson_error_value'):
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_value', e.bson_error_value))
#printe(''.join(traceback.format_tb(tb)))
printf(sformat('{0}: {1}', t.__name__, e))
first = False
data[key] = key_indx
PROFILING['waste_some_time_running_into_an_exception'] = \
waste_some_time_running_into_an_exception_prof
def waste_some_time_running_into_an_exception(ref_time=None): # ||:fnc:||
show_context()
data = DATA
wasted_time = []
total_start = datetime.now()
first = True
for indx in range(CYCLES):
key, key_indx = KEYS[indx]
data[key] = list
start = datetime.now()
try:
bson.BSON.encode(data)
except Exception:
if first:
(t, e, tb) = sys.exc_info()
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e', type(e)))
if hasattr(e, 'bson_error_parent'):
parent = e.bson_error_parent
if parent is not None:
lp = len(parent)
else:
lp = -1
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_parent', lp))
if hasattr(e, 'bson_error_key') and e.bson_error_key is not None:
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_key', e.bson_error_key))
if hasattr(e, 'bson_error_value'):
print("{0}{3:^{1}} {4:<{2}s}: ]{5!s}[".format(
'#', 9, 15, ':DBG:', 'e.bson_error_value', e.bson_error_value))
#printe(''.join(traceback.format_tb(tb)))
printf(sformat('{0}: {1}', t.__name__, e))
first = False
end = datetime.now()
wasted_time.append(end-start)
data[key] = key_indx
total_end = datetime.now()
total_time = total_end-total_start
if ref_time is None:
ref_time = total_time
report_times(total_time, wasted_time, ref_time=ref_time)
total_time = total_end-total_start
return ref_time
# --------------------------------------------------
# |||:sec:||| waste_some_space_and_time_converting_data_with_json_bson_default
# --------------------------------------------------
def check_type_with_json_then_bson_prof(key, val, dcopy): # ||:fnc:||
try:
# if it is JSON encodable, it is also BSON encodable
json.dumps(val)
dcopy[key] = val
except TypeError:
try:
# BSON encodable
bson.json_util.default(val)
dcopy[key] = val
except TypeError:
state = val.__getstate__()
dcopy[key] = state
for key, val in ditems(state):
check_type_with_json_then_bson_prof(key, val, state)
def encode_waste_some_space_and_time_converting_data_with_json_bson_default_prof(data): # ||:fnc:||
dcopy = dict_type()
for key, val in ditems(data):
wt = check_type_with_json_then_bson_prof(key, val, dcopy)
return bson.BSON.encode(dcopy)
def waste_some_space_and_time_converting_data_with_json_bson_default_prof(): # ||:fnc:||
# works always
data = DATA
for indx in range(CYCLES):
prepare_data(data, indx)
eres = encode_waste_some_space_and_time_converting_data_with_json_bson_default_prof(data)
restore_data(data, indx)
check_encoding_result(eres, indx)
PROFILING['waste_some_space_and_time_converting_data_with_json_bson_default'] = \
waste_some_space_and_time_converting_data_with_json_bson_default_prof
def check_type_with_json_then_bson(key, val, dcopy, wt, totally_wasted_time, json_time, bson_time): # ||:fnc:||
start = datetime.now()
try:
# if it is JSON encodable, it is also BSON encodable
json.dumps(val)
dcopy[key] = val
end = datetime.now()
wt.append(end-start)
#json_time.append(end-start)
except TypeError:
try:
# BSON encodable
bson.json_util.default(val)
dcopy[key] = val
end = datetime.now()
wt.append(end-start)
#bson_time.append(end-start)
except TypeError:
state = val.__getstate__()
dcopy[key] = state
end = datetime.now()
wt.append(end-start)
for key, val in ditems(state):
check_type_with_json_then_bson(key, val, state, wt, totally_wasted_time, json_time, bson_time)
wt = totally_wasted_time
return wt
def waste_some_space_and_time_converting_data_with_json_bson_default(ref_time): # ||:fnc:||
# works always
show_context()
data = DATA
json_time = []
bson_time = []
wasted_time = []
totally_wasted_time = []
total_start = datetime.now()
for indx in range(CYCLES):
prepare_data(data, indx)
wt = wasted_time
dcopy = dict_type()
for key, val in ditems(data):
wt = check_type_with_json_then_bson(key, val, dcopy, wt, totally_wasted_time, json_time, bson_time)
eres = bson.BSON.encode(dcopy)
restore_data(data, indx)
check_encoding_result(eres, indx)
total_end = datetime.now()
total_time = total_end-total_start
report_times(total_time, wasted_time, totally_wasted_time, ref_time=ref_time, json_time=json_time, bson_time=bson_time)
return total_time
# --------------------------------------------------
# |||:sec:||| waste_some_space_and_time_converting_data_with_BSON_enc
# --------------------------------------------------
def check_type_with_BSON_enc_prof(key, val, dcopy): # ||:fnc:||
start = datetime.now()
try:
# BSON encodable
bson.BSON.encode({ 'd': val }, check_keys=False)
dcopy[key] = val
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
for key, val in ditems(state):
check_type_with_BSON_enc_prof(key, val, state)
def encode_waste_some_space_and_time_converting_data_with_BSON_enc_prof(data): # ||:fnc:||
dcopy = dict_type()
for key, val in ditems(data):
check_type_with_BSON_enc_prof(key, val, dcopy)
return bson.BSON.encode(dcopy)
def waste_some_space_and_time_converting_data_with_BSON_enc_prof(): # ||:fnc:||
# works always
data = DATA
for indx in range(CYCLES):
prepare_data(data, indx)
eres = encode_waste_some_space_and_time_converting_data_with_BSON_enc_prof(data)
restore_data(data, indx)
check_encoding_result(eres, indx)
PROFILING['waste_some_space_and_time_converting_data_with_BSON_enc'] = \
waste_some_space_and_time_converting_data_with_BSON_enc_prof
def check_type_with_BSON_encode(key, val, dcopy, wt, totally_wasted_time): # ||:fnc:||
start = datetime.now()
try:
# BSON encodable
bson.BSON.encode({ 'd': val }, check_keys=False)
dcopy[key] = val
end = datetime.now()
wt.append(end-start)
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
end = datetime.now()
wt.append(end-start)
for key, val in ditems(state):
check_type_with_BSON_encode(key, val, state, wt, totally_wasted_time)
wt = totally_wasted_time
return wt
def waste_some_space_and_time_converting_data_with_BSON_encode(ref_time): # ||:fnc:||
# works always
show_context()
data = DATA
wasted_time = []
totally_wasted_time = []
total_start = datetime.now()
for indx in range(CYCLES):
prepare_data(data, indx)
dcopy = dict_type()
wt = wasted_time
for key, val in ditems(data):
wt = check_type_with_BSON_encode(key, val, dcopy, wt, totally_wasted_time)
eres = bson.BSON.encode(dcopy)
restore_data(data, indx)
check_encoding_result(eres, indx)
total_end = datetime.now()
total_time = total_end-total_start
report_times(total_time, wasted_time, totally_wasted_time, ref_time=ref_time)
return total_time
# --------------------------------------------------
# |||:sec:||| waste_some_space_and_time_converting_data_with_dict_to_bson
# --------------------------------------------------
def check_type_with_dict_to_bson_prof(key, val, dcopy): # ||:fnc:||
try:
# BSON encodable
bson._dict_to_bson({ 'd': val }, False, bson.OLD_UUID_SUBTYPE)
dcopy[key] = val
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
for key, val in ditems(state):
check_type_with_dict_to_bson_prof(key, val, state)
def encode_waste_some_space_and_time_converting_data_with_dict_to_bson_prof(data): # ||:fnc:||
dcopy = dict_type()
for key, val in ditems(data):
check_type_with_dict_to_bson_prof(key, val, dcopy)
return bson.BSON.encode(dcopy)
def waste_some_space_and_time_converting_data_with_dict_to_bson_prof(): # ||:fnc:||
data = DATA
for indx in range(CYCLES):
prepare_data(data, indx)
eres = encode_waste_some_space_and_time_converting_data_with_dict_to_bson_prof(data)
restore_data(data, indx)
check_encoding_result(eres, indx)
PROFILING['waste_some_space_and_time_converting_data_with_dict_to_bson'] = \
waste_some_space_and_time_converting_data_with_dict_to_bson_prof
_dict_to_bson_args = list()
try:
bson._dict_to_bson({ 'd': 1 }, False, bson.OLD_UUID_SUBTYPE, False, None)
_dict_to_bson_args.extend((False, None))
except TypeError:
try:
bson._dict_to_bson({ 'd': 1 }, False, bson.OLD_UUID_SUBTYPE, None)
_dict_to_bson_args.extend((False,))
except TypeError:
pass
def check_type_with_dict_to_bson(key, val, dcopy, wt, totally_wasted_time): # ||:fnc:||
start = datetime.now()
try:
# BSON encodable
bson._dict_to_bson({ 'd': val }, False, bson.OLD_UUID_SUBTYPE, *_dict_to_bson_args)
dcopy[key] = val
end = datetime.now()
wt.append(end-start)
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
end = datetime.now()
wt.append(end-start)
for key, val in ditems(state):
check_type_with_dict_to_bson(key, val, state, wt, totally_wasted_time)
wt = totally_wasted_time
return wt
def waste_some_space_and_time_converting_data_with_dict_to_bson(ref_time): # ||:fnc:||
# works always
show_context()
data = DATA
wasted_time = []
totally_wasted_time = []
total_start = datetime.now()
for indx in range(CYCLES):
prepare_data(data, indx)
wt = wasted_time
dcopy = dict_type()
for key, val in ditems(data):
wt = check_type_with_dict_to_bson(key, val, dcopy, wt, totally_wasted_time)
eres = bson.BSON.encode(dcopy)
restore_data(data, indx)
check_encoding_result(eres, indx)
total_end = datetime.now()
total_time = total_end-total_start
report_times(total_time, wasted_time, totally_wasted_time, ref_time=ref_time)
return total_time
# --------------------------------------------------
# |||:sec:||| waste_some_space_and_time_converting_data_with_element_to_bson
# --------------------------------------------------
def check_type_with_element_to_bson_prof(key, val, dcopy): # ||:fnc:||
try:
# BSON encodable, private API
try:
bson._element_to_bson('d', val, False, bson.OLD_UUID_SUBTYPE, None)
except TypeError:
bson._element_to_bson('d', val, False, bson.OLD_UUID_SUBTYPE)
dcopy[key] = val
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
for key, val in ditems(state):
check_type_with_element_to_bson_prof(key, val, state)
def encode_waste_some_space_and_time_converting_data_with_element_to_bson_prof(data): # ||:fnc:||
dcopy = dict_type()
for key, val in ditems(data):
check_type_with_element_to_bson_prof(key, val, dcopy)
return bson.BSON.encode(dcopy)
def waste_some_space_and_time_converting_data_with_element_to_bson_prof(): # ||:fnc:||
# works always
data = DATA
for indx in range(CYCLES):
prepare_data(data, indx)
eres = encode_waste_some_space_and_time_converting_data_with_element_to_bson_prof(data)
restore_data(data, indx)
check_encoding_result(eres, indx)
PROFILING['waste_some_space_and_time_converting_data_with_element_to_bson'] = \
waste_some_space_and_time_converting_data_with_element_to_bson_prof
def check_type_with_element_to_bson(key, val, dcopy, wt, totally_wasted_time): # ||:fnc:||
start = datetime.now()
try:
# BSON encodable, private API
try:
bson._element_to_bson('d', val, False, bson.OLD_UUID_SUBTYPE, None)
except TypeError:
bson._element_to_bson('d', val, False, bson.OLD_UUID_SUBTYPE)
dcopy[key] = val
end = datetime.now()
wt.append(end-start)
except bson.errors.InvalidDocument:
state = val.__getstate__()
dcopy[key] = state
end = datetime.now()
wt.append(end-start)
for key, val in ditems(state):
check_type_with_element_to_bson(key, val, state, wt, totally_wasted_time)
wt = totally_wasted_time
return wt
def waste_some_space_and_time_converting_data_with_element_to_bson(ref_time): # ||:fnc:||
# works always
show_context()
data = DATA
wasted_time = []
totally_wasted_time = []
total_start = datetime.now()
for indx in range(CYCLES):
wt = wasted_time
prepare_data(data, indx)
dcopy = dict_type()
for key, val in ditems(data):
wt = check_type_with_element_to_bson(key, val, dcopy, wt, totally_wasted_time)
eres = bson.BSON.encode(dcopy)
restore_data(data, indx)
check_encoding_result(eres, indx)
total_end = datetime.now()
total_time = total_end-total_start
report_times(total_time, wasted_time, totally_wasted_time, ref_time=ref_time)
return total_time
# --------------------------------------------------
# |||:sec:||| waste_some_time_with_wrapped_python_element_to_bson
# --------------------------------------------------
def encode_waste_some_time_with_wrapped_python_element_to_bson_prof(data): # ||:fnc:||
return bson.BSON.encode(data)
def waste_some_time_with_wrapped_python_element_to_bson_prof(): # ||:fnc:||
# works always
data = DATA
sv_c_active = feature_is_c_enabled()
sv_element_to_bson = bson._element_to_bson
feature_enable_c_encoding(False)
def _element_to_bson(key, value, *args):
try:
return bson._context._element_to_bson(key, value, *args)
except bson.errors.InvalidDocument:
pass
state = value.__getstate__()
return bson._context._element_to_bson(key, state, *args)
bson._element_to_bson = _element_to_bson
try:
for indx in range(CYCLES):
prepare_data(data, indx)
eres = encode_waste_some_time_with_wrapped_python_element_to_bson_prof(data)
restore_data(data, indx)
check_encoding_result(eres, indx)
except Exception:
(t, e, tb) = sys.exc_info()
printe(''.join(traceback.format_tb(tb)))
printf(sformat('{0}: {1}', t.__name__, e))
bson._element_to_bson = sv_element_to_bson
feature_enable_c(sv_c_active)
PROFILING['waste_some_time_with_wrapped_python_element_to_bson'] = \
waste_some_time_with_wrapped_python_element_to_bson_prof
def waste_some_time_with_wrapped_python_element_to_bson(ref_time): # ||:fnc:||
# works always
data = DATA
total_start = datetime.now()
wasted_time = []
sv_c_active = feature_is_c_enabled()
sv_element_to_bson = bson._element_to_bson
feature_enable_c_encoding(False)
show_context()
def _element_to_bson(key, value, *args):
try:
return bson._context._element_to_bson(key, value, *args)
except bson.errors.InvalidDocument:
pass
start = datetime.now()
state = value.__getstate__()
end = datetime.now()
wasted_time.append(end-start)
return bson._context._element_to_bson(key, state, *args)
bson._element_to_bson = _element_to_bson
show_time = True
try:
for indx in range(CYCLES):
prepare_data(data, indx)