hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7362194801cab520c1c6118da8fed2c2fdfa327d
| 303
|
py
|
Python
|
src/impscan/scanner/__init__.py
|
lmmx/impscan
|
fd809f9f32302e3b67bc921164f34fdd837cf92b
|
[
"MIT"
] | null | null | null |
src/impscan/scanner/__init__.py
|
lmmx/impscan
|
fd809f9f32302e3b67bc921164f34fdd837cf92b
|
[
"MIT"
] | 15
|
2021-06-24T15:30:57.000Z
|
2021-07-30T14:04:38.000Z
|
src/impscan/scanner/__init__.py
|
lmmx/impscan
|
fd809f9f32302e3b67bc921164f34fdd837cf92b
|
[
"MIT"
] | null | null | null |
from . import (
ast_parsing,
ast_utils,
build_utils,
import_utils,
module_utils,
requirement,
sanitiser,
scan,
)
__all__ = [
"ast_parsing",
"ast_utils",
"build_utils",
"import_utils",
"module_utils",
"requirement",
"sanitiser",
"scan",
]
| 13.772727
| 19
| 0.577558
| 29
| 303
| 5.551724
| 0.37931
| 0.124224
| 0.161491
| 0.223602
| 0.919255
| 0.919255
| 0.919255
| 0.919255
| 0.919255
| 0.919255
| 0
| 0
| 0.29703
| 303
| 21
| 20
| 14.428571
| 0.755869
| 0
| 0
| 0
| 0
| 0
| 0.260726
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.15
| 0
| 0.15
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c30208cfcf05bf0d1b0f781241ad34fb2f69ad19
| 5,469
|
py
|
Python
|
convert.py
|
ekawahyu/STM32-ldscripts
|
8a1927a665f4fec6784e78024dbbf93d948805ac
|
[
"MIT"
] | null | null | null |
convert.py
|
ekawahyu/STM32-ldscripts
|
8a1927a665f4fec6784e78024dbbf93d948805ac
|
[
"MIT"
] | null | null | null |
convert.py
|
ekawahyu/STM32-ldscripts
|
8a1927a665f4fec6784e78024dbbf93d948805ac
|
[
"MIT"
] | null | null | null |
import csv
from string import Template
#=============================================================================#
# STM32L0
linker_template= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
- Data EEPROM ${eeprom}B
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
EEPROM (rw) : ORIGIN = 0x08080000, LENGTH = ${eeprom}
}''')
with open('STM32L0/STM32L0.csv', 'r') as csvfile:
spamreader = csv.reader(csvfile, delimiter=';', quotechar='"')
csvfile.readline() # dummy read, ignore header
for row in spamreader:
device = row[0]
flash = row[1]
eeprom = row[2]
ram = row[3]
with open('STM32L0/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_template.safe_substitute(device=device, flash=flash, ram=ram, eeprom=eeprom))
#=============================================================================#
# STM32F3
linker_template= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
}''')
linker_templateCCRAM= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
- CCRAM ${ccram}kB
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
CCMRAM (xrw) : ORIGIN = 0x10000000, LENGTH = ${ccram}K
}''')
with open('STM32F3/STM32F3.csv', 'r') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='"')
csvfile.readline() # dummy read, ignore header
for row in spamreader:
device = row[0]
flash = row[1]
ram = row[2]
ccram = row[3] if( row[3] != '' ) else 0
if(ccram == 0):
with open('STM32F3/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_template.safe_substitute(device=device, flash=flash, ram=ram))
else:
with open('STM32F3/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_templateCCRAM.safe_substitute(device=device, flash=flash, ram=ram,ccram=ccram))
#=============================================================================#
# STM32F4
linker_template= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
}''')
linker_templateCCRAM= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
- CCRAM ${ccram}kB
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
CCMRAM (xrw) : ORIGIN = 0x10000000, LENGTH = ${ccram}K
}''')
with open('STM32F4/STM32F4.csv', 'r') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='"')
csvfile.readline() # dummy read, ignore header
for row in spamreader:
device = row[0]
flash = row[1]
ram = row[2]
ccram = row[3] if( row[3] != '' ) else 0
if(ccram == 0):
with open('STM32F4/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_template.safe_substitute(device=device, flash=flash, ram=ram))
else:
with open('STM32F4/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_templateCCRAM.safe_substitute(device=device, flash=flash, ram=ram,ccram=ccram))
#=============================================================================#
# STM32F0
linker_template= Template('''/******************************************************************************
Memory Layout Linker File
Device : ${device}
- Flash ${flash}kB
- RAM ${ram}kB
******************************************************************************/
MEMORY{
RAM (xrw) : ORIGIN = 0x20000000, LENGTH = ${ram}K
FLASH (rx) : ORIGIN = 0x08000000, LENGTH = ${flash}K
}''')
with open('STM32F0/STM32F0.csv', 'r') as csvfile:
spamreader = csv.reader(csvfile, delimiter=';', quotechar='"')
csvfile.readline() # dummy read, ignore header
for row in spamreader:
device = row[0]
flash = row[1]
ram = row[2]
with open('STM32F0/'+device + '.ld', 'w') as csvfile:
csvfile.write(linker_template.safe_substitute(device=device, flash=flash, ram=ram))
| 35.057692
| 116
| 0.455659
| 505
| 5,469
| 4.89901
| 0.120792
| 0.058205
| 0.082458
| 0.10671
| 0.90097
| 0.90097
| 0.90097
| 0.90097
| 0.90097
| 0.90097
| 0
| 0.047792
| 0.196562
| 5,469
| 155
| 117
| 35.283871
| 0.515248
| 0.081185
| 0
| 0.886957
| 0
| 0
| 0.53883
| 0.189259
| 0
| 0
| 0.029946
| 0
| 0
| 1
| 0
| false
| 0
| 0.017391
| 0
| 0.017391
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c331b4d5cdb43ee8faf5f50a8475d262367c38c6
| 33,965
|
py
|
Python
|
ironic/tests/unit/drivers/modules/irmc/test_raid.py
|
yanndegat/ironic
|
8857ec76443dea7778bb9c0d66568304e52495e5
|
[
"Apache-2.0"
] | 350
|
2015-01-02T09:35:49.000Z
|
2022-03-28T09:25:59.000Z
|
ironic/tests/unit/drivers/modules/irmc/test_raid.py
|
yanndegat/ironic
|
8857ec76443dea7778bb9c0d66568304e52495e5
|
[
"Apache-2.0"
] | 7
|
2015-05-04T16:12:41.000Z
|
2021-08-31T12:27:27.000Z
|
ironic/tests/unit/drivers/modules/irmc/test_raid.py
|
yanndegat/ironic
|
8857ec76443dea7778bb9c0d66568304e52495e5
|
[
"Apache-2.0"
] | 333
|
2015-01-06T09:09:22.000Z
|
2022-02-20T08:11:40.000Z
|
# Copyright 2018 FUJITSU LIMITED
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""
Test class for IRMC RAID configuration
"""
from unittest import mock
from ironic.common import exception
from ironic.conductor import task_manager
from ironic.drivers.modules import deploy_utils
from ironic.drivers.modules.irmc import raid
from ironic.tests.unit.drivers.modules.irmc import test_common
class IRMCRaidConfigurationInternalMethodsTestCase(test_common.BaseIRMCTest):
def setUp(self):
super(IRMCRaidConfigurationInternalMethodsTestCase, self).setUp()
self.raid_adapter_profile = {
"Server": {
"HWConfigurationIrmc": {
"Adapters": {
"RAIDAdapter": [
{
"@AdapterId": "RAIDAdapter0",
"@ConfigurationType": "Addressing",
"Arrays": None,
"LogicalDrives": None,
"PhysicalDisks": {
"PhysicalDisk": [
{
"@Number": "0",
"@Action": "None",
"Slot": 0,
},
{
"@Number": "1",
"@Action": "None",
"Slot": 1
},
{
"@Number": "2",
"@Action": "None",
"Slot": 2
},
{
"@Number": "3",
"@Action": "None",
"Slot": 3
}
]
}
}
]
}
}
}
}
self.valid_disk_slots = {
"PhysicalDisk": [
{
"@Number": "0",
"Slot": 0,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "1",
"Slot": 1,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "2",
"Slot": 2,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "3",
"Slot": 3,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "4",
"Slot": 4,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "5",
"Slot": 5,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "6",
"Slot": 6,
"Size": {
"@Unit": "GB",
"#text": 1000
}
},
{
"@Number": "7",
"Slot": 7,
"Size": {
"@Unit": "GB",
"#text": 1000
}
}
]
}
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test___fail_validation_with_none_raid_adapter_profile(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = None
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "0"
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test___fail_validation_without_raid_level(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50"
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test___fail_validation_with_raid_level_is_none(self,
get_raid_adapter_mock,
get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": ""
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_without_physical_disks(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = {
"Server": {
"HWConfigurationIrmc": {
"Adapters": {
"RAIDAdapter": [
{
"@AdapterId": "RAIDAdapter0",
"@ConfigurationType": "Addressing",
"Arrays": None,
"LogicalDrives": None,
"PhysicalDisks": None
}
]
}
}
}
}
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "1"
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test___fail_validation_with_raid_level_outside_list(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "2"
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch(
'ironic.drivers.modules.irmc.raid._validate_logical_drive_capacity',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_not_enough_valid_disks(
self, get_raid_adapter_mock, get_physical_disk_mock,
capacity_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "5"
},
{
"size_gb": "50",
"raid_level": "1"
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_physical_disk_insufficient(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "1",
"physical_disks": [
"0",
"1",
"2"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.InvalidParameterValue,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_physical_disk_not_enough_disks(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "5",
"physical_disks": [
"0",
"1"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_physical_disk_incorrect_valid_disks(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "10",
"physical_disks": [
"0",
"1",
"2",
"3",
"4"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_physical_disk_outside_valid_disks_1(
self, get_raid_adapter_mock, get_physical_disk_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "1",
"physical_disks": [
"4",
"5"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch(
'ironic.drivers.modules.irmc.raid._validate_logical_drive_capacity',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_physical_disk_outside_valid_slots_2(
self, get_raid_adapter_mock, get_physical_disk_mock,
capacity_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "5",
"physical_disks": [
"0",
"1",
"2"
]
},
{
"size_gb": "50",
"raid_level": "0",
"physical_disks": [
"4"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch(
'ironic.drivers.modules.irmc.raid._validate_logical_drive_capacity',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_physical_disk',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_duplicated_physical_disks(
self, get_raid_adapter_mock, get_physical_disk_mock,
capacity_mock):
get_raid_adapter_mock.return_value = self.raid_adapter_profile
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "1",
"physical_disks": [
"0",
"1"
]
},
{
"size_gb": "50",
"raid_level": "1",
"physical_disks": [
"1",
"2"
]
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
@mock.patch('ironic.drivers.modules.irmc.raid._get_raid_adapter',
autospec=True)
def test__fail_validation_with_difference_physical_disks_type(
self, get_raid_adapter_mock):
get_raid_adapter_mock.return_value = {
"Server": {
"HWConfigurationIrmc": {
"Adapters": {
"RAIDAdapter": [
{
"@AdapterId": "RAIDAdapter0",
"@ConfigurationType": "Addressing",
"Arrays": None,
"LogicalDrives": None,
"PhysicalDisks": {
"PhysicalDisk": [
{
"@Number": "0",
"Slot": 0,
"Type": "HDD",
},
{
"@Number": "1",
"Slot": 1,
"Type": "SSD",
}
]
}
}
]
}
}
}
}
target_raid_config = {
"logical_disks": [
{
"size_gb": "50",
"raid_level": "1",
"physical_disks": [
"0",
"1"
]
}
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
self.assertRaises(exception.IRMCOperationError,
raid._validate_physical_disks,
task.node, target_raid_config['logical_disks'])
def test__fail_validate_capacity_raid_0(self):
disk = {
"size_gb": 3000,
"raid_level": "0"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_raid_1(self):
disk = {
"size_gb": 3000,
"raid_level": "1"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_raid_5(self):
disk = {
"size_gb": 3000,
"raid_level": "5"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_raid_6(self):
disk = {
"size_gb": 3000,
"raid_level": "6"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_raid_10(self):
disk = {
"size_gb": 3000,
"raid_level": "10"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_raid_50(self):
disk = {
"size_gb": 5000,
"raid_level": "50"
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
def test__fail_validate_capacity_with_physical_disk(self):
disk = {
"size_gb": 4000,
"raid_level": "5",
"physical_disks": [
"0",
"1",
"3",
"4"
]
}
self.assertRaises(exception.InvalidParameterValue,
raid._validate_logical_drive_capacity,
disk, self.valid_disk_slots)
@mock.patch('ironic.common.raid.update_raid_info', autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid.client.elcm.'
'get_raid_adapter', autospec=True)
@mock.patch.object(deploy_utils, 'set_async_step_flags', autospec=True)
def test__commit_raid_config_with_logical_drives(
self, set_async_step_flags_mock,
get_raid_adapter_mock, update_raid_info_mock):
get_raid_adapter_mock.return_value = {
"Server": {
"HWConfigurationIrmc": {
"Adapters": {
"RAIDAdapter": [
{
"@AdapterId": "RAIDAdapter0",
"@ConfigurationType": "Addressing",
"Arrays": {
"Array": [
{
"@Number": 0,
"@ConfigurationType": "Addressing",
"PhysicalDiskRefs": {
"PhysicalDiskRef": [
{
"@Number": "0"
},
{
"@Number": "1"
}
]
}
}
]
},
"LogicalDrives": {
"LogicalDrive": [
{
"@Number": 0,
"@Action": "None",
"RaidLevel": "1",
"Name": "LogicalDrive_0",
"Size": {
"@Unit": "GB",
"#text": 465
},
"ArrayRefs": {
"ArrayRef": [
{
"@Number": 0
}
]
}
}
]
},
"PhysicalDisks": {
"PhysicalDisk": [
{
"@Number": "0",
"@Action": "None",
"Slot": 0,
"PDStatus": "Operational"
},
{
"@Number": "1",
"@Action": "None",
"Slot": 1,
"PDStatus": "Operational"
}
]
}
}
]
}
}
}
}
expected_raid_config = [
{'controller': 'RAIDAdapter0'},
{'irmc_raid_info': {' size': {'#text': 465, '@Unit': 'GB'},
'logical_drive_number': 0,
'name': 'LogicalDrive_0',
'raid_level': '1'}},
{'physical_drives': {'physical_drive': {'@Action': 'None',
'@Number': '0',
'PDStatus': 'Operational',
'Slot': 0}}},
{'physical_drives': {'physical_drive': {'@Action': 'None',
'@Number': '1',
'PDStatus': 'Operational',
'Slot': 1}}}]
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
raid._commit_raid_config(task)
get_raid_adapter_mock.assert_called_once_with(
task.node.driver_info)
update_raid_info_mock.assert_called_once_with(
task.node, task.node.raid_config)
set_async_step_flags_mock.assert_called_once_with(
task.node, reboot=True, skip_current_step=True, polling=True)
self.assertEqual(task.node.raid_config['logical_disks'],
expected_raid_config)
class IRMCRaidConfigurationTestCase(test_common.BaseIRMCTest):
def setUp(self):
super(IRMCRaidConfigurationTestCase, self).setUp()
self.config(enabled_raid_interfaces=['irmc'])
self.raid_adapter_profile = {
"Server": {
"HWConfigurationIrmc": {
"Adapters": {
"RAIDAdapter": [
{
"@AdapterId": "RAIDAdapter0",
"@ConfigurationType": "Addressing",
"Arrays": None,
"LogicalDrives": None,
"PhysicalDisks": {
"PhysicalDisk": [
{
"@Number": "0",
"@Action": "None",
"Slot": 0,
},
{
"@Number": "1",
"@Action": "None",
"Slot": 1
},
{
"@Number": "2",
"@Action": "None",
"Slot": 2
},
{
"@Number": "3",
"@Action": "None",
"Slot": 3
}
]
}
}
]
}
}
}
}
def test_fail_create_raid_without_target_raid_config(self):
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
task.node.target_raid_config = {}
raid_configuration = raid.IRMCRAID()
self.assertRaises(exception.MissingParameterValue,
raid_configuration.create_configuration, task)
@mock.patch('ironic.drivers.modules.irmc.raid._validate_physical_disks',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._create_raid_adapter',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._commit_raid_config',
autospec=True)
def test_create_raid_with_raid_1_and_0(self, commit_mock,
create_raid_mock, validation_mock):
expected_input = {
"logical_disks": [
{
"raid_level": "10"
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
task.node.target_raid_config = {
"logical_disks": [
{
"raid_level": "1+0"
},
]
}
task.driver.raid.create_configuration(task)
create_raid_mock.assert_called_once_with(task.node)
validation_mock.assert_called_once_with(
task.node, expected_input['logical_disks'])
commit_mock.assert_called_once_with(task)
@mock.patch('ironic.drivers.modules.irmc.raid._validate_physical_disks',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._create_raid_adapter',
autospec=True)
@mock.patch('ironic.drivers.modules.irmc.raid._commit_raid_config',
autospec=True)
def test_create_raid_with_raid_5_and_0(self, commit_mock,
create_raid_mock, validation_mock):
expected_input = {
"logical_disks": [
{
"raid_level": "50"
},
]
}
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
task.node.target_raid_config = {
"logical_disks": [
{
"raid_level": "5+0"
},
]
}
task.driver.raid.create_configuration(task)
create_raid_mock.assert_called_once_with(task.node)
validation_mock.assert_called_once_with(
task.node, expected_input['logical_disks'])
commit_mock.assert_called_once_with(task)
@mock.patch('ironic.drivers.modules.irmc.raid._delete_raid_adapter',
autospec=True)
def test_delete_raid_configuration(self, delete_raid_mock):
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
task.driver.raid.delete_configuration(task)
delete_raid_mock.assert_called_once_with(task.node)
@mock.patch('ironic.drivers.modules.irmc.raid._delete_raid_adapter',
autospec=True)
def test_delete_raid_configuration_return_cleared_raid_config(
self, delete_raid_mock):
with task_manager.acquire(self.context, self.node.uuid,
shared=True) as task:
expected_raid_config = {}
task.driver.raid.delete_configuration(task)
self.assertEqual(expected_raid_config, task.node.raid_config)
delete_raid_mock.assert_called_once_with(task.node)
| 39.865023
| 79
| 0.410687
| 2,464
| 33,965
| 5.319805
| 0.082386
| 0.050351
| 0.045926
| 0.069576
| 0.83224
| 0.821712
| 0.792646
| 0.760604
| 0.754654
| 0.744507
| 0
| 0.014125
| 0.503901
| 33,965
| 851
| 80
| 39.911868
| 0.763798
| 0.017459
| 0
| 0.589909
| 0
| 0
| 0.14206
| 0.058977
| 0
| 0
| 0
| 0
| 0.043984
| 1
| 0.036223
| false
| 0
| 0.007762
| 0
| 0.046572
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c3695237b8906db8295368b161843a3929062560
| 1,660
|
py
|
Python
|
src/Skeleton/BassActions.py
|
Voice-First-AI/generative-music-watson
|
e666f64602baab2e35a66c0a5c4389b1bd5666c9
|
[
"Apache-2.0"
] | null | null | null |
src/Skeleton/BassActions.py
|
Voice-First-AI/generative-music-watson
|
e666f64602baab2e35a66c0a5c4389b1bd5666c9
|
[
"Apache-2.0"
] | null | null | null |
src/Skeleton/BassActions.py
|
Voice-First-AI/generative-music-watson
|
e666f64602baab2e35a66c0a5c4389b1bd5666c9
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import print_function
Actions = {
'bass2': {
'super_simple' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
},
'simple' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
},
'semi_complex' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
#3:'CHROMATICS', # Left for developer to be filled in
},
'complex' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
#3:'CHROMATICS', # Left for developer to be filled in
},
},
'bass3': {
'super_simple' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
},
'simple' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
},
'semi_complex' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
#3:'CHROMATICS', # Left for developer to be filled in
},
'complex' : {
0:'PLAY_HOME_NOTE',
1:'PLAY_FIFTH_NOTE',
2:'PLAY_OCTAVE_UP',
#3:'CHROMATICS', # Left for developer to be filled in
},
},
} # End Actions
| 24.411765
| 67
| 0.396988
| 154
| 1,660
| 3.909091
| 0.201299
| 0.066445
| 0.119601
| 0.172757
| 0.906977
| 0.906977
| 0.906977
| 0.906977
| 0.906977
| 0.906977
| 0
| 0.035587
| 0.492169
| 1,660
| 67
| 68
| 24.776119
| 0.678529
| 0.13253
| 0
| 0.680851
| 0
| 0
| 0.314475
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.021277
| 0
| 0.021277
| 0.021277
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5eedee5cf014e446e0ea7a516b1b3b07db8904a2
| 42
|
py
|
Python
|
mphyspy/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | 1
|
2020-04-17T07:54:49.000Z
|
2020-04-17T07:54:49.000Z
|
mphyspy/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | null | null | null |
mphyspy/test.py
|
eunchan1001/phypy
|
17ae1e2bddf784c82f4a2c57721d1176b274072b
|
[
"MIT"
] | null | null | null |
#Module Test
def check():
return True
| 10.5
| 15
| 0.666667
| 6
| 42
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.238095
| 42
| 3
| 16
| 14
| 0.875
| 0.261905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
6f2710310cc6dbeeef3c2068c2385b785b1bcce7
| 101
|
py
|
Python
|
task_dialog/agents/__init__.py
|
nanhaishun/smart-chatbot
|
b98e30d8f1b37631130aaaf8bc3978afb3e67b2a
|
[
"Apache-2.0"
] | 1
|
2018-12-11T06:10:39.000Z
|
2018-12-11T06:10:39.000Z
|
task_dialog/agents/__init__.py
|
nanhaishun/smart-chatbot
|
b98e30d8f1b37631130aaaf8bc3978afb3e67b2a
|
[
"Apache-2.0"
] | null | null | null |
task_dialog/agents/__init__.py
|
nanhaishun/smart-chatbot
|
b98e30d8f1b37631130aaaf8bc3978afb3e67b2a
|
[
"Apache-2.0"
] | null | null | null |
from .agent_cmd import *
from .agent_baselines import *
from .agent_dqn import *
from .agent import *
| 25.25
| 30
| 0.772277
| 15
| 101
| 5
| 0.4
| 0.48
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148515
| 101
| 4
| 31
| 25.25
| 0.872093
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
6f46c0771f8ff97faa397159b3dd846ea7814b06
| 14,987
|
py
|
Python
|
openstack/tests/auth/identity/test_v3.py
|
sivel/python-openstacksdk
|
85c6a42c8f983b467c79e5dacdfdc996657250b1
|
[
"Apache-2.0"
] | 1
|
2015-02-16T09:34:58.000Z
|
2015-02-16T09:34:58.000Z
|
openstack/tests/auth/identity/test_v3.py
|
sivel/python-openstacksdk
|
85c6a42c8f983b467c79e5dacdfdc996657250b1
|
[
"Apache-2.0"
] | null | null | null |
openstack/tests/auth/identity/test_v3.py
|
sivel/python-openstacksdk
|
85c6a42c8f983b467c79e5dacdfdc996657250b1
|
[
"Apache-2.0"
] | null | null | null |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import mock
import testtools
from openstack.auth.identity import v3
from openstack import exceptions
from openstack.tests.auth import common
TEST_URL = 'http://127.0.0.1:5000/v3.0'
class TestV3Auth(testtools.TestCase):
def test_password_user_domain(self):
kargs = {'trust_id': common.TEST_TRUST_ID,
'project_id': common.TEST_PROJECT_ID,
'project_name': common.TEST_PROJECT_NAME}
method = v3.PasswordMethod(username=common.TEST_USER,
user_id=common.TEST_USER_ID,
user_domain_id=common.TEST_DOMAIN_ID,
user_domain_name=common.TEST_DOMAIN_NAME,
password=common.TEST_PASS)
sot = v3.Auth(TEST_URL, [method], **kargs)
self.assertEqual(1, len(sot.auth_methods))
auther = sot.auth_methods[0]
self.assertEqual(common.TEST_USER_ID, auther.user_id)
self.assertEqual(common.TEST_USER, auther.username)
self.assertEqual(common.TEST_DOMAIN_ID, auther.user_domain_id)
self.assertEqual(common.TEST_DOMAIN_NAME, auther.user_domain_name)
self.assertEqual(common.TEST_PASS, auther.password)
expected = ('password', {'user': {'id': common.TEST_USER_ID,
'password': common.TEST_PASS}})
self.assertEqual(expected, auther.get_auth_data(None, None, {}))
self.assertEqual(common.TEST_TRUST_ID, sot.trust_id)
self.assertEqual(None, sot.domain_id)
self.assertEqual(None, sot.domain_name)
self.assertEqual(common.TEST_PROJECT_ID, sot.project_id)
self.assertEqual(common.TEST_PROJECT_NAME, sot.project_name)
self.assertEqual(None, sot.project_domain_id)
self.assertEqual(None, sot.project_domain_name)
self.assertEqual(TEST_URL + '/auth/tokens', sot.token_url)
def test_password_domain(self):
kargs = {'domain_id': common.TEST_DOMAIN_ID,
'domain_name': common.TEST_DOMAIN_NAME,
'trust_id': common.TEST_TRUST_ID,
'project_id': common.TEST_PROJECT_ID,
'project_name': common.TEST_PROJECT_NAME}
methods = [v3.PasswordMethod(username=common.TEST_USER,
user_id=common.TEST_USER_ID,
password=common.TEST_PASS)]
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertEqual(1, len(sot.auth_methods))
auther = sot.auth_methods[0]
self.assertEqual(common.TEST_USER_ID, auther.user_id)
self.assertEqual(common.TEST_USER, auther.username)
self.assertEqual(None, auther.user_domain_id)
self.assertEqual(None, auther.user_domain_name)
self.assertEqual(common.TEST_PASS, auther.password)
expected = ('password', {'user': {'id': common.TEST_USER_ID,
'password': common.TEST_PASS}})
self.assertEqual(expected, auther.get_auth_data(None, None, {}))
self.assertEqual(common.TEST_TRUST_ID, sot.trust_id)
self.assertEqual(common.TEST_DOMAIN_ID, sot.domain_id)
self.assertEqual(common.TEST_DOMAIN_NAME, sot.domain_name)
self.assertEqual(common.TEST_PROJECT_ID, sot.project_id)
self.assertEqual(common.TEST_PROJECT_NAME, sot.project_name)
self.assertEqual(None, sot.project_domain_id)
self.assertEqual(None, sot.project_domain_name)
self.assertEqual(TEST_URL + '/auth/tokens', sot.token_url)
def test_token_project_domain(self):
kargs = {'project_domain_id': common.TEST_DOMAIN_ID,
'project_domain_name': common.TEST_DOMAIN_NAME,
'trust_id': common.TEST_TRUST_ID,
'project_id': common.TEST_PROJECT_ID,
'project_name': common.TEST_PROJECT_NAME}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertEqual(1, len(sot.auth_methods))
auther = sot.auth_methods[0]
self.assertEqual(common.TEST_TOKEN, auther.token)
expected = ('token', {'id': common.TEST_TOKEN})
self.assertEqual(expected, auther.get_auth_data(None, None, {}))
self.assertEqual(common.TEST_TRUST_ID, sot.trust_id)
self.assertEqual(None, sot.domain_id)
self.assertEqual(None, sot.domain_name)
self.assertEqual(common.TEST_PROJECT_ID, sot.project_id)
self.assertEqual(common.TEST_PROJECT_NAME, sot.project_name)
self.assertEqual(common.TEST_DOMAIN_ID, sot.project_domain_id)
self.assertEqual(common.TEST_DOMAIN_NAME, sot.project_domain_name)
self.assertEqual(TEST_URL + '/auth/tokens', sot.token_url)
def create_mock_transport(self, xresp):
transport = mock.Mock()
transport.post = mock.Mock()
response = mock.Mock()
response.json = mock.Mock()
response.json.return_value = xresp
response.headers = {'X-Subject-Token': common.TEST_SUBJECT}
transport.post.return_value = response
return transport
def test_authorize_token(self):
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'methods': ['token']}}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_domain_id(self):
kargs = {'domain_id': common.TEST_DOMAIN_ID}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'methods': ['token']},
'scope': {'domain': {'id': common.TEST_DOMAIN_ID}}}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_domain_name(self):
kargs = {'domain_name': common.TEST_DOMAIN_NAME}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
scope = {'domain': {'name': common.TEST_DOMAIN_NAME}}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'methods': ['token']},
'scope': scope}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_project_id(self):
kargs = {'project_id': common.TEST_PROJECT_ID}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
scope = {'project': {'id': common.TEST_PROJECT_ID}}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'methods': ['token']},
'scope': scope}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_project_name(self):
kargs = {'project_name': common.TEST_PROJECT_NAME,
'project_domain_id': common.TEST_DOMAIN_ID}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
domain = {'domain': {'id': common.TEST_DOMAIN_ID},
'name': common.TEST_PROJECT_NAME}
scope = {'project': domain}
ejson = {'auth': {'identity': {'methods': ['token'],
'token': {'id': common.TEST_TOKEN}},
'scope': scope}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_project_name_domain_name(self):
kargs = {'project_name': common.TEST_PROJECT_NAME,
'project_domain_name': common.TEST_DOMAIN_NAME}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
domain = {'domain': {'name': common.TEST_DOMAIN_NAME},
'name': common.TEST_PROJECT_NAME}
scope = {'project': domain}
ejson = {'auth': {'identity': {'methods': ['token'],
'token': {'id': common.TEST_TOKEN}},
'scope': scope}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_token_trust_id(self):
kargs = {'trust_id': common.TEST_TRUST_ID}
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods, **kargs)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
scope = {'OS-TRUST:trust': {'id': common.TEST_TRUST_ID}}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'methods': ['token']},
'scope': scope}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_multi_method(self):
methods = [v3.PasswordMethod(username=common.TEST_USER,
password=common.TEST_PASS),
v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods)
xport = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
resp = sot.authorize(xport)
eurl = TEST_URL + '/auth/tokens'
eheaders = {'Accept': 'application/json',
'X-Auth-Token': common.TEST_TOKEN}
up = {'password': common.TEST_PASS, 'name': common.TEST_USER}
ejson = {'auth': {'identity': {'token': {'id': common.TEST_TOKEN},
'password': {'user': up},
'methods': ['password', 'token']}}}
xport.post.assert_called_with(eurl, headers=eheaders, json=ejson)
ecatalog = common.TEST_RESPONSE_DICT_V3['token'].copy()
ecatalog['auth_token'] = common.TEST_SUBJECT
ecatalog['version'] = 'v3'
self.assertEqual(ecatalog, resp._info)
def test_authorize_mutually_exclusive(self):
x = self.create_mock_transport(common.TEST_RESPONSE_DICT_V3)
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
kargs = {'domain_id': 'a',
'project_id': 'b'}
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertRaises(exceptions.AuthorizationFailure, sot.authorize, x)
kargs = {'domain_name': 'a',
'project_name': 'b'}
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertRaises(exceptions.AuthorizationFailure, sot.authorize, x)
kargs = {'domain_name': 'a',
'trust_id': 'b'}
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertRaises(exceptions.AuthorizationFailure, sot.authorize, x)
kargs = {'project_id': 'a',
'trust_id': 'b'}
sot = v3.Auth(TEST_URL, methods, **kargs)
self.assertRaises(exceptions.AuthorizationFailure, sot.authorize, x)
def test_authorize_bad_response(self):
methods = [v3.TokenMethod(token=common.TEST_TOKEN)]
sot = v3.Auth(TEST_URL, methods)
xport = self.create_mock_transport({})
self.assertRaises(exceptions.InvalidResponse, sot.authorize, xport)
| 46.688474
| 78
| 0.622673
| 1,734
| 14,987
| 5.135525
| 0.080161
| 0.137002
| 0.040427
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| 0.859854
| 0.857383
| 0.823021
| 0.804267
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| 0.766423
| 0
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| 14,987
| 320
| 79
| 46.834375
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| 0.234848
| 1
| 0.05303
| false
| 0.064394
| 0.018939
| 0
| 0.079545
| 0
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| 0
| null | 0
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| 0
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| 0
| 0
|
0
| 8
|
6f6cb8318eaf02bb8a5ce2ce96682bb02dac454f
| 1,766
|
py
|
Python
|
test_analytics.py
|
johntelforduk/shopify-analytics
|
19ea62ff3b4e89a4e0b0a6a37db05a61a8a2aa23
|
[
"MIT"
] | null | null | null |
test_analytics.py
|
johntelforduk/shopify-analytics
|
19ea62ff3b4e89a4e0b0a6a37db05a61a8a2aa23
|
[
"MIT"
] | null | null | null |
test_analytics.py
|
johntelforduk/shopify-analytics
|
19ea62ff3b4e89a4e0b0a6a37db05a61a8a2aa23
|
[
"MIT"
] | null | null | null |
# Script to test the Analytics class.
from analytics import Analytics
import unittest
from datetime import datetime
class TestAnalytics(unittest.TestCase):
def test_0_day_window(self):
"""Test the class when refund window is zero days."""
test_date = datetime.strptime('2020-05-30', "%Y-%m-%d")
analysis = Analytics(filename='transactions_sample.csv', datetime_now=test_date, refund_window=0)
for index, row in analysis.monthly.iterrows():
if row['Year Month'] == '2020-04':
self.assertEqual(row['Sales'], 50 + 50)
self.assertEqual(row['Refunds'], 50)
self.assertEqual(row['Refund Rate'], 50 / (50 + 50))
elif row['Year Month'] == '2020-05':
self.assertEqual(row['Sales'], 100 + 200)
self.assertEqual(row['Refunds'], 100 + 50)
self.assertEqual(row['Refund Rate'], (100 + 50) / (100 + 200))
def test_14_day_window(self):
"""Test the class when refund window is 14 days."""
test_date = datetime.strptime('2020-05-30', "%Y-%m-%d")
analysis = Analytics(filename='transactions_sample.csv', datetime_now=test_date, refund_window=14)
for index, row in analysis.monthly.iterrows():
if row['Year Month'] == '2020-04':
self.assertEqual(row['Sales'], 50 + 50)
self.assertEqual(row['Refunds'], 50)
self.assertEqual(row['Refund Rate'], 50 / (50 + 50))
elif row['Year Month'] == '2020-05':
self.assertEqual(row['Sales'], 200)
self.assertEqual(row['Refunds'], 50)
self.assertEqual(row['Refund Rate'], 50 / 200)
if __name__ == '__main__':
unittest.main()
| 39.244444
| 106
| 0.587203
| 215
| 1,766
| 4.711628
| 0.265116
| 0.17769
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| 0.11846
| 0.803554
| 0.772952
| 0.743337
| 0.743337
| 0.743337
| 0.743337
| 0
| 0.080433
| 0.267837
| 1,766
| 44
| 107
| 40.136364
| 0.703016
| 0.073613
| 0
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| 0.153846
| 0.028308
| 0
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| 0.4
| 1
| 0.066667
| false
| 0
| 0.1
| 0
| 0.2
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| 0
| null | 0
| 1
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| 1
| 1
| 1
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| 1
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| 0
| 0
| 0
| 0
|
0
| 7
|
48bb6a84220293b1d33831e1a2039e2000d131d3
| 6,124
|
py
|
Python
|
weibo/spiders/test.py
|
Leu552/cxkspider
|
94fcc9bf5b82ca3d5772d2275ff8bda0be3e9230
|
[
"MIT"
] | null | null | null |
weibo/spiders/test.py
|
Leu552/cxkspider
|
94fcc9bf5b82ca3d5772d2275ff8bda0be3e9230
|
[
"MIT"
] | null | null | null |
weibo/spiders/test.py
|
Leu552/cxkspider
|
94fcc9bf5b82ca3d5772d2275ff8bda0be3e9230
|
[
"MIT"
] | null | null | null |
import urllib3
import requests
import json
import random
import time
from fake_useragent import UserAgent
ua = UserAgent()
def get_data():
user_agent_list = [
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1"
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
]
UserAgent = random.choice(user_agent_list)
headers = {
'Host': 'weibo.com',
'User-Agent': ua.random,
'X-Requested-With': 'XMLHttpRequest',
'Cookie': 'SINAGLOBAL=1505092439785.638.1548912484608; TC-Page-G0=841d8e04c4761f733a87c822f72195f3; _s_tentry=passport.weibo.com; Apache=9246181159618.564.1550212893574; ULV=1550212893586:2:1:1:9246181159618.564.1550212893574:1548912484630; Ugrow-G0=8751d9166f7676afdce9885c6d31cd61; login_sid_t=5e86081f15aa42603185fffc3db712f7; cross_origin_proto=SSL; TC-V5-G0=05e7a45f4d2b9f5b065c2bea790496e2; YF-V5-G0=82f55bdb504a04aef59e3e99f6aad4ca; UM_distinctid=16a1f4014e30-034888a184b62e-58422116-1fa400-16a1f4014e673; un=2978610085@qq.com; UOR=,,login.sina.com.cn; WBtopGlobal_register_version=edef3632d17f5fb3; SSOLoginState=1555324904; YF-Ugrow-SEO-G0=8e667ee9394bfc84054b8fa626d4b0dc; wb_view_log_5681855938=1920*10801; wb_view_log=1920*10801; SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WhnaHFwnfa9b6Bn0eVW_jaD5JpX5K2hUgL.Fo-c1h2RSK-4e0n2dJLoI7UhdNiVwHvk; ALF=1586947400; SCF=ApA3TwJO8OkekAZzIkq-v9EJJ7s2OBvMB3YOUA8HJDkRLpQMp7ZAeE6MawHuVMB4HGeoAmRtJq1e3l5otJBkOh0.; SUB=_2A25xscGcDeThGeNI41MZ9SvFyDSIHXVSxrRUrDV8PUNbmtBeLRPTkW9NSD4SFVOkcS02xhwpzupcOpYGDcWIafuA; SUHB=05iqxFrjc87bAc; wvr=6; YF-Page-G0=ee5462a7ca7a278058fd1807a910bc74|1555412761|1555412757; webim_unReadCount=%7B%22time%22%3A1555412766585%2C%22dm_pub_total%22%3A1%2C%22chat_group_pc%22%3A0%2C%22allcountNum%22%3A6%2C%22msgbox%22%3A0%7D'
}
for i in range(1,3):
headers = {
'Host': 'weibo.com',
'User-Agent': ua.random,
'X-Requested-With': 'XMLHttpRequest',
'Cookie': 'SINAGLOBAL=1505092439785.638.1548912484608; TC-Page-G0=841d8e04c4761f733a87c822f72195f3; _s_tentry=passport.weibo.com; Apache=9246181159618.564.1550212893574; ULV=1550212893586:2:1:1:9246181159618.564.1550212893574:1548912484630; Ugrow-G0=8751d9166f7676afdce9885c6d31cd61; login_sid_t=5e86081f15aa42603185fffc3db712f7; cross_origin_proto=SSL; TC-V5-G0=05e7a45f4d2b9f5b065c2bea790496e2; YF-V5-G0=82f55bdb504a04aef59e3e99f6aad4ca; UM_distinctid=16a1f4014e30-034888a184b62e-58422116-1fa400-16a1f4014e673; un=2978610085@qq.com; UOR=,,login.sina.com.cn; WBtopGlobal_register_version=edef3632d17f5fb3; SSOLoginState=1555324904; YF-Ugrow-SEO-G0=8e667ee9394bfc84054b8fa626d4b0dc; wb_view_log_5681855938=1920*10801; wb_view_log=1920*10801; SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WhnaHFwnfa9b6Bn0eVW_jaD5JpX5K2hUgL.Fo-c1h2RSK-4e0n2dJLoI7UhdNiVwHvk; ALF=1586947400; SCF=ApA3TwJO8OkekAZzIkq-v9EJJ7s2OBvMB3YOUA8HJDkRLpQMp7ZAeE6MawHuVMB4HGeoAmRtJq1e3l5otJBkOh0.; SUB=_2A25xscGcDeThGeNI41MZ9SvFyDSIHXVSxrRUrDV8PUNbmtBeLRPTkW9NSD4SFVOkcS02xhwpzupcOpYGDcWIafuA; SUHB=05iqxFrjc87bAc; wvr=6; YF-Page-G0=ee5462a7ca7a278058fd1807a910bc74|1555412761|1555412757; webim_unReadCount=%7B%22time%22%3A1555412766585%2C%22dm_pub_total%22%3A1%2C%22chat_group_pc%22%3A0%2C%22allcountNum%22%3A6%2C%22msgbox%22%3A0%7D'
}
url = 'https://weibo.com/aj/v6/mblog/info/big?ajwvr=6&id=4361379747512186&max_id=4361779607852473&page='+str(i)+'&__rnd='+str(int(time.time()))
print(url)
print(headers['User-Agent'])
res = requests.get(url=url, headers=headers)
print(res.json())
print(res.status_code)
# print(res.json()['data']['html'])
# -*- coding: utf-8 -*-
class transCookie:
def __init__(self, cookie):
self.cookie = cookie
def stringToDict(self):
itemDict = {}
items = self.cookie.split(';')
for item in items:
key = item.split('=')[0].replace(' ', '')
value = item.split('=')[1]
itemDict[key] = value
return itemDict
if __name__ == "__main__":
cookie = "SINAGLOBAL=1505092439785.638.1548912484608; TC-Page-G0=841d8e04c4761f733a87c822f72195f3; _s_tentry=passport.weibo.com; Apache=9246181159618.564.1550212893574; ULV=1550212893586:2:1:1:9246181159618.564.1550212893574:1548912484630; Ugrow-G0=8751d9166f7676afdce9885c6d31cd61; login_sid_t=5e86081f15aa42603185fffc3db712f7; cross_origin_proto=SSL; TC-V5-G0=05e7a45f4d2b9f5b065c2bea790496e2; YF-V5-G0=82f55bdb504a04aef59e3e99f6aad4ca; UM_distinctid=16a1f4014e30-034888a184b62e-58422116-1fa400-16a1f4014e673; un=2978610085@qq.com; UOR=,,login.sina.com.cn; WBtopGlobal_register_version=edef3632d17f5fb3; SSOLoginState=1555324904; YF-Ugrow-SEO-G0=8e667ee9394bfc84054b8fa626d4b0dc; wb_view_log_5681855938=1920*10801; wb_view_log=1920*10801; SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WhnaHFwnfa9b6Bn0eVW_jaD5JpX5K2hUgL.Fo-c1h2RSK-4e0n2dJLoI7UhdNiVwHvk; ALF=1586947400; SCF=ApA3TwJO8OkekAZzIkq-v9EJJ7s2OBvMB3YOUA8HJDkRLpQMp7ZAeE6MawHuVMB4HGeoAmRtJq1e3l5otJBkOh0.; SUB=_2A25xscGcDeThGeNI41MZ9SvFyDSIHXVSxrRUrDV8PUNbmtBeLRPTkW9NSD4SFVOkcS02xhwpzupcOpYGDcWIafuA; SUHB=05iqxFrjc87bAc; wvr=6; YF-Page-G0=ee5462a7ca7a278058fd1807a910bc74|1555412761|1555412757; webim_unReadCount=%7B%22time%22%3A1555412766585%2C%22dm_pub_total%22%3A1%2C%22chat_group_pc%22%3A0%2C%22allcountNum%22%3A6%2C%22msgbox%22%3A0%7D"
trans = transCookie(cookie)
print(trans.stringToDict())
| 91.402985
| 1,308
| 0.774494
| 707
| 6,124
| 6.588402
| 0.267327
| 0.010305
| 0.013525
| 0.024045
| 0.854229
| 0.854229
| 0.854229
| 0.854229
| 0.854229
| 0.846501
| 0
| 0.308581
| 0.109406
| 6,124
| 66
| 1,309
| 92.787879
| 0.545471
| 0.008981
| 0
| 0.192308
| 0
| 0.211538
| 0.799967
| 0.608601
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057692
| false
| 0.057692
| 0.115385
| 0
| 0.211538
| 0.096154
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 12
|
48c43989c80c2eb19bcd24ba98188894fc7b8c44
| 11,995
|
py
|
Python
|
tests/test_iot/test_iot_jobs.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 5,460
|
2015-01-01T01:11:17.000Z
|
2022-03-31T23:45:38.000Z
|
tests/test_iot/test_iot_jobs.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 4,475
|
2015-01-05T19:37:30.000Z
|
2022-03-31T13:55:12.000Z
|
tests/test_iot/test_iot_jobs.py
|
gtourkas/moto
|
307104417b579d23d02f670ff55217a2d4a16bee
|
[
"Apache-2.0"
] | 1,831
|
2015-01-14T00:00:44.000Z
|
2022-03-31T20:30:04.000Z
|
import boto3
import json
from moto import mock_iot
@mock_iot
def test_create_job():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing# job document
# job_document = {
# "field": "value"
# }
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
# job document
job_document = {"field": "value"}
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
document=json.dumps(job_document),
description="Description",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job.should.have.key("description")
@mock_iot
def test_list_jobs():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing# job document
# job_document = {
# "field": "value"
# }
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
# job document
job_document = {"field": "value"}
job1 = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
document=json.dumps(job_document),
description="Description",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job1.should.have.key("jobId").which.should.equal(job_id)
job1.should.have.key("jobArn")
job1.should.have.key("description")
job2 = client.create_job(
jobId=job_id + "1",
targets=[thing["thingArn"]],
document=json.dumps(job_document),
description="Description",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job2.should.have.key("jobId").which.should.equal(job_id + "1")
job2.should.have.key("jobArn")
job2.should.have.key("description")
jobs = client.list_jobs()
jobs.should.have.key("jobs")
jobs.should_not.have.key("nextToken")
jobs["jobs"][0].should.have.key("jobId").which.should.equal(job_id)
jobs["jobs"][1].should.have.key("jobId").which.should.equal(job_id + "1")
@mock_iot
def test_describe_job():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
documentSource="https://s3-eu-west-1.amazonaws.com/bucket-name/job_document.json",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job = client.describe_job(jobId=job_id)
job.should.have.key("documentSource")
job.should.have.key("job")
job.should.have.key("job").which.should.have.key("jobArn")
job.should.have.key("job").which.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("job").which.should.have.key("targets")
job.should.have.key("job").which.should.have.key("jobProcessDetails")
job.should.have.key("job").which.should.have.key("lastUpdatedAt")
job.should.have.key("job").which.should.have.key("createdAt")
job.should.have.key("job").which.should.have.key("jobExecutionsRolloutConfig")
job.should.have.key("job").which.should.have.key(
"targetSelection"
).which.should.equal("CONTINUOUS")
job.should.have.key("job").which.should.have.key("presignedUrlConfig")
job.should.have.key("job").which.should.have.key(
"presignedUrlConfig"
).which.should.have.key("roleArn").which.should.equal(
"arn:aws:iam::1:role/service-role/iot_job_role"
)
job.should.have.key("job").which.should.have.key(
"presignedUrlConfig"
).which.should.have.key("expiresInSec").which.should.equal(123)
job.should.have.key("job").which.should.have.key(
"jobExecutionsRolloutConfig"
).which.should.have.key("maximumPerMinute").which.should.equal(10)
@mock_iot
def test_describe_job_1():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
# job document
job_document = {"field": "value"}
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
document=json.dumps(job_document),
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job = client.describe_job(jobId=job_id)
job.should.have.key("job")
job.should.have.key("job").which.should.have.key("jobArn")
job.should.have.key("job").which.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("job").which.should.have.key("targets")
job.should.have.key("job").which.should.have.key("jobProcessDetails")
job.should.have.key("job").which.should.have.key("lastUpdatedAt")
job.should.have.key("job").which.should.have.key("createdAt")
job.should.have.key("job").which.should.have.key("jobExecutionsRolloutConfig")
job.should.have.key("job").which.should.have.key(
"targetSelection"
).which.should.equal("CONTINUOUS")
job.should.have.key("job").which.should.have.key("presignedUrlConfig")
job.should.have.key("job").which.should.have.key(
"presignedUrlConfig"
).which.should.have.key("roleArn").which.should.equal(
"arn:aws:iam::1:role/service-role/iot_job_role"
)
job.should.have.key("job").which.should.have.key(
"presignedUrlConfig"
).which.should.have.key("expiresInSec").which.should.equal(123)
job.should.have.key("job").which.should.have.key(
"jobExecutionsRolloutConfig"
).which.should.have.key("maximumPerMinute").which.should.equal(10)
@mock_iot
def test_delete_job():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
documentSource="https://s3-eu-west-1.amazonaws.com/bucket-name/job_document.json",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job = client.describe_job(jobId=job_id)
job.should.have.key("job")
job.should.have.key("job").which.should.have.key("jobId").which.should.equal(job_id)
client.delete_job(jobId=job_id)
client.list_jobs()["jobs"].should.have.length_of(0)
@mock_iot
def test_cancel_job():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
documentSource="https://s3-eu-west-1.amazonaws.com/bucket-name/job_document.json",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job = client.describe_job(jobId=job_id)
job.should.have.key("job")
job.should.have.key("job").which.should.have.key("jobId").which.should.equal(job_id)
job = client.cancel_job(jobId=job_id, reasonCode="Because", comment="You are")
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job = client.describe_job(jobId=job_id)
job.should.have.key("job")
job.should.have.key("job").which.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("job").which.should.have.key("status").which.should.equal(
"CANCELED"
)
job.should.have.key("job").which.should.have.key(
"forceCanceled"
).which.should.equal(False)
job.should.have.key("job").which.should.have.key("reasonCode").which.should.equal(
"Because"
)
job.should.have.key("job").which.should.have.key("comment").which.should.equal(
"You are"
)
@mock_iot
def test_get_job_document_with_document_source():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
documentSource="https://s3-eu-west-1.amazonaws.com/bucket-name/job_document.json",
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job_document = client.get_job_document(jobId=job_id)
job_document.should.have.key("document").which.should.equal("")
@mock_iot
def test_get_job_document_with_document():
client = boto3.client("iot", region_name="eu-west-1")
name = "my-thing"
job_id = "TestJob"
# thing
thing = client.create_thing(thingName=name)
thing.should.have.key("thingName").which.should.equal(name)
thing.should.have.key("thingArn")
# job document
job_document = {"field": "value"}
job = client.create_job(
jobId=job_id,
targets=[thing["thingArn"]],
document=json.dumps(job_document),
presignedUrlConfig={
"roleArn": "arn:aws:iam::1:role/service-role/iot_job_role",
"expiresInSec": 123,
},
targetSelection="CONTINUOUS",
jobExecutionsRolloutConfig={"maximumPerMinute": 10},
)
job.should.have.key("jobId").which.should.equal(job_id)
job.should.have.key("jobArn")
job_document = client.get_job_document(jobId=job_id)
job_document.should.have.key("document").which.should.equal('{"field": "value"}')
| 34.567723
| 90
| 0.652855
| 1,502
| 11,995
| 5.109188
| 0.05526
| 0.155069
| 0.199896
| 0.112588
| 0.929111
| 0.929111
| 0.914256
| 0.914256
| 0.912562
| 0.877508
| 0
| 0.01077
| 0.179491
| 11,995
| 346
| 91
| 34.66763
| 0.768949
| 0.019091
| 0
| 0.773381
| 0
| 0.014388
| 0.214815
| 0.051
| 0
| 0
| 0
| 0
| 0
| 1
| 0.028777
| false
| 0
| 0.010791
| 0
| 0.039568
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d2a48f60f52f83f99f0882d9e6142574d6214b1d
| 7,553
|
py
|
Python
|
plc_io/core_libraries/irrigation_hash_control_py3.py
|
bopopescu/docker_images_a
|
348d0982c5962f2ae34d10183ed9522b7a6fe286
|
[
"MIT"
] | 2
|
2018-02-21T03:46:51.000Z
|
2019-12-24T16:40:51.000Z
|
plc_io/core_libraries/irrigation_hash_control_py3.py
|
bopopescu/docker_images_a
|
348d0982c5962f2ae34d10183ed9522b7a6fe286
|
[
"MIT"
] | 7
|
2020-07-16T19:54:08.000Z
|
2022-03-02T03:29:07.000Z
|
plc_io/core_libraries/irrigation_hash_control_py3.py
|
bopopescu/docker_images_a
|
348d0982c5962f2ae34d10183ed9522b7a6fe286
|
[
"MIT"
] | 2
|
2018-04-16T07:02:35.000Z
|
2020-07-23T21:57:19.000Z
|
import time
import redis
import json
from redis_support_py3.construct_data_handlers_py3 import Generate_Handlers
from redis_support_py3.graph_query_support_py3 import Query_Support
def generate_irrigation_control(redis_site_data,qs ):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site_data["site"] )
query_list = qs.add_match_terminal( query_list,
relationship = "PACKAGE", property_mask={"name":"IRRIGATION_CONTROL_MANAGEMENT"} )
package_sets, package_sources = qs.match_list(query_list)
package = package_sources[0]
data_structures = package["data_structures"]
generate_handlers = Generate_Handlers(package,qs)
return generate_handlers.construct_managed_hash(data_structures["IRRIGATION_CONTROL"])
def generate_sensor_minute_status(redis_site,qs ):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_terminal( query_list,
relationship = "PACKAGE", property_mask={"name":"MQTT_DEVICES_DATA"} )
package_sets, package_sources = qs.match_list(query_list)
package = package_sources[0]
data_structures = package["data_structures"]
generate_handlers = Generate_Handlers(package,qs)
return generate_handlers.construct_hash(data_structures["MQTT_SENSOR_STATUS"])
def generate_mqtt_devices(redis_site,qs ):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_terminal( query_list,
relationship = "PACKAGE", property_mask={"name":"MQTT_DEVICES_DATA"} )
package_sets, package_sources = qs.match_list(query_list)
package = package_sources[0]
data_structures = package["data_structures"]
generate_handlers = Generate_Handlers(package,qs)
return generate_handlers.construct_hash(data_structures["MQTT_CONTACT_LOG"])
def get_irrigation_current_limit(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "IRRIGATION_VALVE_CURRENT_LIMIT" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]["limit"]
def get_flow_checking_limits(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "EXCESSIVE_FLOW_LIMITS" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]
def get_cleaning_limits(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "CLEANING_LIMITS" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]["limit"]
def get_cleaning_flow_limits(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "CLEANING_FLOW_LIMITS" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]["limit"]
def get_current_limits(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "CURRENT_LIMITS" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]
def get_master_valves(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "MASTER_VALVES" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]["MASTER_VALVES"]
def get_cleaning_valves(redis_site,qs):
query_list = []
query_list = qs.add_match_relationship( query_list,relationship="SITE",label=redis_site["site"] )
query_list = qs.add_match_relationship( query_list,relationship="IRRIGIGATION_SCHEDULING_CONTROL" )
query_list = qs.add_match_terminal( query_list,
relationship = "CLEANING_VALVES" )
limits_sets, limit_sources = qs.match_list(query_list)
return limit_sources[0]["CLEANING_VALVES"]
if __name__ == "__main__":
# for test only
#
# Read Boot File
# expand json file
#
file_handle = open("system_data_files/redis_server.json",'r')
data = file_handle.read()
file_handle.close()
redis_site = json.loads(data)
x = generate_irrigation_control(redis_site)
#
# Binary Test
#
print(x.hget("RAIN_FLAG"))
x.hset("RAIN_FLAG",x.hget("RAIN_FLAG"))
print(x.hget("RAIN_FLAG"))
x.hset("RAIN_FLAG",1)
print(x.hget("RAIN_FLAG"))
x.hset("RAIN_FLAG",0)
print(x.hget("RAIN_FLAG"))
#
# Float Test
#
temp = x.hget("FLOW_CUT_OFF")
print(temp)
x.hset("FLOW_CUT_OFF",35)
print(x.hget("FLOW_CUT_OFF"))
x.hset("FLOW_CUT_OFF",temp)
print(x.hget("FLOW_CUT_OFF"))
#
# string test
#
temp = x.hget("SCHEDULE_NAME")
print(temp)
x.hset("SCHEDULE_NAME","TEMP")
print(x.hget("SCHEDULE_NAME"))
x.hset("SCHEDULE_NAME",temp)
print(x.hget("SCHEDULE_NAME"))
#
# dictionary test
#
temp = x.hget("SLAVE_MAX_CURRENT")
print(temp)
x.hset("SLAVE_MAX_CURRENT",temp)
temp_1 = x.hget("SLAVE_MAX_CURRENT")
print(temp,temp_1)
temp = x.hget_all()
print(temp)
| 40.175532
| 123
| 0.628624
| 853
| 7,553
| 5.168816
| 0.107855
| 0.151055
| 0.067362
| 0.085734
| 0.822636
| 0.792924
| 0.783851
| 0.770696
| 0.770696
| 0.749603
| 0
| 0.003663
| 0.277108
| 7,553
| 187
| 124
| 40.390374
| 0.803846
| 0.012843
| 0
| 0.601626
| 1
| 0
| 0.132018
| 0.045799
| 0
| 0
| 0
| 0
| 0
| 1
| 0.081301
| false
| 0
| 0.04065
| 0
| 0.203252
| 0.105691
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d2a794f5ccf66230f8c60917e047e303a3769c55
| 22,407
|
py
|
Python
|
pyqmri/_helper_fun/_est_coils.py
|
philippgualdi/PyQMRI
|
5de3a7da5feb2d01b746acd47d1dba91a8a1417e
|
[
"Apache-2.0"
] | null | null | null |
pyqmri/_helper_fun/_est_coils.py
|
philippgualdi/PyQMRI
|
5de3a7da5feb2d01b746acd47d1dba91a8a1417e
|
[
"Apache-2.0"
] | null | null | null |
pyqmri/_helper_fun/_est_coils.py
|
philippgualdi/PyQMRI
|
5de3a7da5feb2d01b746acd47d1dba91a8a1417e
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Estimated complex coil sensitivity information.
Estimates sensitivities and complex image.
(see Martin Uecker: Image reconstruction by regularized nonlinear
inversion joint estimation of coil sensitivities and image content)
"""
import sys
import numpy as np
import ipyparallel as ipp
import pyopencl.array as clarray
from pyqmri._helper_fun import _nlinvns_3D as nlinvns3D
from pyqmri._helper_fun import _nlinvns as nlinvns
from pyqmri._helper_fun import _goldcomp as goldcomp
from pyqmri._helper_fun import _utils as utils
def est_coils(data, par, file, args, off):
"""Estimate coil sensitivity profiles.
This function estimates coil sensitivity profiles based on the
non-linear inversion method from Uecker et al. It first checks if
coil information is present in the given data file and if the size
matches the number of slices that should be reconstructed. If the
check fails, new coil sensitivity information is estimated and saved to
the data file.
Parameters
----------
data : numpy.array
The complex k-space data.
par : dict
Parameter dictionary.
file : h5py.File
A h5py.File possibly containing the coil profiles. Also used for
storing newly computed profile information.
args : argparse.ArgumentParser
Commandline arguments passed to the script.
off : int
A possible offset of the zero slice.
Returns
-------
numpy.array
The complex coilsensitivity information.
"""
###########################################################################
# Initiate parallel interface #############################################
###########################################################################
c = ipp.Client()
nlinvNewtonSteps = 6
nlinvRealConstr = False
if args.sms or "Coils_real" in list(file.keys()):
print("Using precomputed coil sensitivities")
if "Coils_real" in file.keys():
slices_coils = file['Coils_real'][()].shape[1]
par["C"] = file['Coils_real'][
:,
int(slices_coils / 2) - int(np.floor((par["NSlice"]) / 2)) + off:
int(slices_coils / 2) + int(np.ceil(par["NSlice"] / 2)) + off,
...] + 1j * file['Coils_imag'][
:,
int(slices_coils / 2) - int(np.floor((par["NSlice"]) / 2)) + off:
int(slices_coils / 2) + int(np.ceil(par["NSlice"] / 2)) + off,
...]
par["C"] = par["C"].astype(par["DTYPE"])
else:
slices_coils = file['Coils'][()].shape[1]
par["C"] = file['Coils'][
:,
int(slices_coils / 2) - int(np.floor((par["NSlice"]) / 2)) + off:
int(slices_coils / 2) + int(np.ceil(par["NSlice"] / 2)) + off,
...]
par["C"] = par["C"].astype(par["DTYPE"])
elif not args.sms and "Coils" in list(file.keys()):
if args.trafo and not file['Coils'].shape[1] >= par["NSlice"]:
traj_coil = par["traj"].reshape(
par["NScan"] * par["Nproj"], par["N"], -1)
dcf_coil = np.sqrt(goldcomp.cmp(traj_coil))
dcf_coil = np.require(dcf_coil,
requirements='C',
dtype=par["DTYPE_real"])
par["C"] = np.zeros(
(par["NC"], par["NSlice"], par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
par["phase"] = np.zeros(
(par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
par_coils = {}
par_coils["ogf"] = par["ogf"]
par_coils["traj"] = traj_coil
par_coils["dcf"] = dcf_coil
par_coils["N"] = par["N"]
par_coils["NScan"] = 1
par_coils["NC"] = 1
par_coils["NSlice"] = 1
par_coils["ctx"] = par["ctx"]
par_coils["queue"] = par["queue"]
par_coils["dimX"] = par["dimX"]
par_coils["dimY"] = par["dimY"]
par_coils["fft_dim"] = [-2, -1]
par_coils["use_GPU"] = par["use_GPU"]
par_coils["DTYPE"] = par["DTYPE"]
par_coils["DTYPE_real"] = par["DTYPE_real"]
if "is3D" in par.keys():
par_coils["NSlice"] = par["NSlice"]
par_coils["is3D"] = par["is3D"]
FFT = utils.NUFFT(par_coils)
result = []
if args.is3Ddata:
sys.stdout.write(
"Computing coil sensitivity maps in 3D")
sys.stdout.flush()
# RADIAL PART
combinedData = np.transpose(
data[:, :, :, :, :], (1, 2, 0, 3, 4))
combinedData = np.require(
np.reshape(
combinedData,
(1,
par["NC"],
1,
par["NScan"] * par["Nproj"],
par["N"])),
requirements='C')
tmp_coilData = clarray.zeros(
FFT.queue, (1, par["NSlice"], par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
coilData = np.zeros(
(par["NC"], par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
for j in range(par["NC"]):
tmp_combinedData = clarray.to_device(
FFT.queue, combinedData[None, :, j, ...])
FFT.FFTH(tmp_coilData, tmp_combinedData)
coilData[j, ...] = np.squeeze(tmp_coilData.get())
combinedData = np.require(
np.fft.fftn(
coilData,
norm='ortho',
axes=(-3, -2, -1)),
dtype=par["DTYPE"],
requirements='C')
result = nlinvns3D.nlinvns(
combinedData, nlinvNewtonSteps, par_coils,
True, nlinvRealConstr, DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"])
sys.stdout.write("done")
par["C"] = result[2:,-1]
else:
for i in range(0, (par["NSlice"])):
sys.stdout.write(
"Computing coil sensitivity map of slice %i \r" %
(i))
sys.stdout.flush()
# RADIAL PART
combinedData = np.transpose(
data[:, :, i, :, :], (1, 0, 2, 3))
combinedData = np.require(
np.reshape(
combinedData,
(1,
par["NC"],
1,
par["NScan"] * par["Nproj"],
par["N"])),
requirements='C') * dcf_coil
tmp_coilData = clarray.zeros(
FFT.queue, (1, 1, 1, par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
coilData = np.zeros(
(par["NC"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
for j in range(par["NC"]):
tmp_combinedData = clarray.to_device(
FFT.queue, combinedData[None, :, j, ...])
FFT.FFTH(tmp_coilData, tmp_combinedData)
coilData[j, ...] = np.squeeze(tmp_coilData.get())
combinedData = np.require(
np.fft.fft2(
coilData,
norm=None) /
np.sqrt(
par["dimX"] *
par["dimY"]),
dtype=par["DTYPE"],
requirements='C')
dview = c[int(np.floor(i * len(c) / par["NSlice"]))]
result.append(
dview.apply_async(
nlinvns.nlinvns,
combinedData,
nlinvNewtonSteps,
True,
nlinvRealConstr,
DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"]))
for i in range(par["NSlice"]):
par["C"][:, i, :, :] = result[i].get()[2:, -1, :, :]
sys.stdout.write("slice %i done \r"
% (i))
sys.stdout.flush()
if not nlinvRealConstr:
par["phase"][i, :, :] = np.exp(
1j * np.angle(result[i].get()[0, -1, :, :]))
# standardize coil sensitivity profiles
sumSqrC = np.sqrt(
np.sum(
(par["C"] *
np.conj(
par["C"])),
0))
par["InScale"] = sumSqrC
if par["NC"] == 1:
par["C"] = sumSqrC
else:
par["C"] = par["C"] / \
np.tile(sumSqrC, (par["NC"], 1, 1, 1))
del file['Coils']
del FFT
file.create_dataset(
"Coils",
par["C"].shape,
dtype=par["C"].dtype,
data=par["C"])
file.flush()
elif not args.trafo and not \
file['Coils'].shape[1] >= par["NSlice"]:
par["C"] = np.zeros(
(par["NC"], par["NSlice"], par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
par["phase"] = np.zeros(
(par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
result = []
combinedData = np.sum(data, 0)
if args.use3Dcoilest:
if not args.is3Ddata:
combinedData = np.fft.fft(combinedData,
axis=-3, norm="ortho")
sys.stdout.write(
"Computing coil sensitivity maps in 3D")
sys.stdout.flush()
result = nlinvns3D.nlinvns(combinedData, nlinvNewtonSteps,
True, nlinvRealConstr, DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"])
sys.stdout.write("done")
par["C"] = result[2:,-1]
else:
for i in range(0, (par["NSlice"])):
sys.stdout.write(
"Computing coil sensitivity map of slice %i \r" %
(i))
sys.stdout.flush()
tmp = combinedData[:, i, ...]
dview = c[int(np.floor(i * len(c) / par["NSlice"]))]
result.append(
dview.apply_async(
nlinvns.nlinvns,
tmp,
nlinvNewtonSteps,
True,
nlinvRealConstr,
DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"]))
for i in range(par["NSlice"]):
par["C"][:, i, :, :] = result[i].get()[2:, -1, :, :]
sys.stdout.write("slice %i done \r"
% (i))
sys.stdout.flush()
if not nlinvRealConstr:
par["phase"][i, :, :] = np.exp(
1j * np.angle(result[i].get()[0, -1, :, :]))
# standardize coil sensitivity profiles
sumSqrC = np.sqrt(
np.sum(
(par["C"] *
np.conj(
par["C"])),
0))
par["InScale"] = sumSqrC
if par["NC"] == 1:
par["C"] = sumSqrC
else:
par["C"] = par["C"] / \
np.tile(sumSqrC, (par["NC"], 1, 1, 1))
del file['Coils']
file.create_dataset(
"Coils",
par["C"].shape,
dtype=par["C"].dtype,
data=par["C"])
file.flush()
else:
print("Using precomputed coil sensitivities")
slices_coils = file['Coils'].shape[1]
par["C"] = \
file['Coils'][
:,
int(slices_coils / 2) -
int(np.floor((par["NSlice"]) / 2)) + off:
int(slices_coils / 2) +
int(np.ceil(par["NSlice"] / 2)) + off, ...]
par["C"] = par["C"].astype(par["DTYPE"])
else:
if args.trafo:
traj_coil = par["traj"].reshape(
par["NScan"] * par["Nproj"], par["N"], -1)
dcf_coil = np.repeat(par["dcf"] , par["NScan"], axis=0)
par["C"] = np.zeros(
(par["NC"],
par["NSlice"],
par["dimY"],
par["dimX"]),
dtype=par["DTYPE"])
par["phase"] = np.zeros(
(par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
par_coils = {}
par_coils["ogf"] = par["ogf"]
par_coils["traj"] = traj_coil
par_coils["dcf"] = dcf_coil
par_coils["dimX"] = par["dimX"]
par_coils["dimY"] = par["dimY"]
par_coils["N"] = par["N"]
par_coils["NScan"] = 1
par_coils["NC"] = 1
par_coils["NSlice"] = 1
par_coils["ctx"] = par["ctx"]
par_coils["queue"] = par["queue"]
par_coils["fft_dim"] = par["fft_dim"]
par_coils["use_GPU"] = par["use_GPU"]
par_coils["DTYPE"] = par["DTYPE"]
par_coils["DTYPE_real"] = par["DTYPE_real"]
if "is3D" in par.keys():
par_coils["NSlice"] = par["NSlice"]
par_coils["is3D"] = par["is3D"]
FFT = utils.NUFFT(par_coils)
result = []
if args.is3Ddata:
sys.stdout.write(
"Computing coil sensitivity maps in 3D")
sys.stdout.flush()
# RADIAL PART
combinedData = np.transpose(
data[:, :, :, :, :], (1, 2, 0, 3, 4))
combinedData = np.require(
np.reshape(
combinedData,
(1,
par["NC"],
1,
par["NScan"] * par["Nproj"],
par["N"])),
requirements='C')
tmp_coilData = clarray.zeros(
FFT.queue, (1, 1, par["NSlice"], par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
coilData = np.zeros(
(par["NC"], par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
for j in range(par["NC"]):
tmp_combinedData = clarray.to_device(
FFT.queue, combinedData[None, :, j, ...])
FFT.FFTH(tmp_coilData, tmp_combinedData)
coilData[j, ...] = np.squeeze(tmp_coilData.get())
combinedData = np.require(
np.fft.fftn(
coilData,
norm='ortho',
axes=(-3, -2, -1)),
dtype=par["DTYPE"],
requirements='C')
result = nlinvns3D.nlinvns(combinedData, nlinvNewtonSteps, par_coils,
True, nlinvRealConstr, DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"])
sys.stdout.write("done")
par["C"] = result[2:,-1]
else:
for i in range(0, (par["NSlice"])):
sys.stdout.write(
"Computing coil sensitivity map of slice %i \r" %
(i))
sys.stdout.flush()
combinedData = np.transpose(data[:, :, i, :, :], (1, 0, 2, 3))
combinedData = np.require(
np.reshape(
combinedData,
(1,
par["NC"],
1,
par["NScan"] * par["Nproj"],
par["N"])),
requirements='C') * dcf_coil
tmp_coilData = clarray.zeros(
FFT.queue, (1, 1, 1, par["dimY"], par["dimX"]),
dtype=par["DTYPE"])
coilData = np.zeros(
(par["NC"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
for j in range(par["NC"]):
tmp_combinedData = clarray.to_device(
FFT.queue, combinedData[None, :, j, ...])
FFT.FFTH(tmp_coilData, tmp_combinedData)
coilData[j, ...] = np.squeeze(tmp_coilData.get())
combinedData = np.require(
np.fft.fft2(
coilData,
norm=None) /
np.sqrt(
par["dimX"] *
par["dimY"]),
dtype=par["DTYPE"],
requirements='C')
dview = c[int(np.floor(i * len(c) / par["NSlice"]))]
result.append(
dview.apply_async(
nlinvns.nlinvns,
combinedData,
nlinvNewtonSteps,
True,
nlinvRealConstr,
DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"]))
for i in range(par["NSlice"]):
par["C"][:, i, :, :] = result[i].get()[2:, -1, :, :]
sys.stdout.write("slice %i done \r"
% (i))
sys.stdout.flush()
if not nlinvRealConstr:
par["phase"][i, :, :] = np.exp(
1j * np.angle(result[i].get()[0, -1, :, :]))
# standardize coil sensitivity profiles
sumSqrC = np.sqrt(
np.sum(
(par["C"] *
np.conj(
par["C"])),
0))
par["InScale"] = sumSqrC
if par["NC"] == 1:
par["C"] = sumSqrC
else:
par["C"] = par["C"] / np.tile(sumSqrC, (par["NC"], 1, 1, 1))
del FFT
else:
par["C"] = np.zeros(
(par["NC"],
par["NSlice"],
par["dimY"],
par["dimX"]),
dtype=par["DTYPE"])
par["phase"] = np.zeros(
(par["NSlice"], par["dimY"], par["dimX"]), dtype=par["DTYPE"])
result = []
combinedData = np.sum(data, 0)
if args.use3Dcoilest:
if not args.is3Ddata:
combinedData = np.fft.fft(combinedData,
axis=-3, norm="ortho")
sys.stdout.write(
"Computing coil sensitivity maps in 3D")
sys.stdout.flush()
result = nlinvns3D.nlinvns(
combinedData, nlinvNewtonSteps,
True, nlinvRealConstr, DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"])
sys.stdout.write("done")
par["C"] = result[2:,-1]
else:
for i in range(0, (par["NSlice"])):
sys.stdout.write(
"Computing coil sensitivity map of slice %i \r" %
(i))
sys.stdout.flush()
# RADIAL PART
tmp = combinedData[:, i, ...]
dview = c[int(np.floor(i * len(c) / par["NSlice"]))]
result.append(
dview.apply_async(
nlinvns.nlinvns,
tmp,
nlinvNewtonSteps,
True,
nlinvRealConstr,
DTYPE=par["DTYPE"],
DTYPE_real=par["DTYPE_real"]))
for i in range(par["NSlice"]):
par["C"][:, i, :, :] = result[i].get()[2:, -1, :, :]
sys.stdout.write("slice %i done \r"
% (i))
sys.stdout.flush()
if not nlinvRealConstr:
par["phase"][i, :, :] = np.exp(
1j * np.angle(result[i].get()[0, -1, :, :]))
# standardize coil sensitivity profiles
sumSqrC = np.sqrt(
np.sum(
(par["C"] *
np.conj(
par["C"])),
0))
par["InScale"] = sumSqrC
if par["NC"] == 1:
par["C"] = sumSqrC[None, ...]
else:
par["C"] = par["C"] / np.tile(sumSqrC, (par["NC"], 1, 1, 1))
file.create_dataset(
"Coils",
par["C"].shape,
dtype=par["C"].dtype,
data=par["C"])
file.flush()
| 40.888686
| 93
| 0.386531
| 2,018
| 22,407
| 4.221506
| 0.111497
| 0.023477
| 0.047306
| 0.026294
| 0.837305
| 0.822514
| 0.812771
| 0.812771
| 0.812771
| 0.812771
| 0
| 0.013401
| 0.470478
| 22,407
| 547
| 94
| 40.963437
| 0.704593
| 0.060383
| 0
| 0.89738
| 0
| 0
| 0.083755
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002183
| false
| 0
| 0.017467
| 0
| 0.019651
| 0.004367
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d2b4cc45f8aa5b41ca1b2e00c4ff166ade8ed63f
| 49,738
|
py
|
Python
|
applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/solve.py
|
SADPR/Kratos
|
82d1e335d2e7e674f77022a3d91c958168805d59
|
[
"BSD-4-Clause"
] | null | null | null |
applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/solve.py
|
SADPR/Kratos
|
82d1e335d2e7e674f77022a3d91c958168805d59
|
[
"BSD-4-Clause"
] | null | null | null |
applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/classDefs_solverWrapper/methodDefs_KratosSolverWrapper/solve.py
|
SADPR/Kratos
|
82d1e335d2e7e674f77022a3d91c958168805d59
|
[
"BSD-4-Clause"
] | null | null | null |
# Import Kratos
import KratosMultiphysics
from KratosMultiphysics.MultilevelMonteCarloApplication.adaptive_refinement_utilities import AdaptiveRefinement
from xmc.distributedEnvironmentFramework import *
# Import python packages
import time
import pickle
try:
from threadpoolctl import *
except:
pass
####################################################################################################
############################################ WRAPPERS ##############################################
####################################################################################################
def executeInstanceStochasticAdaptiveRefinementAllAtOnce_Wrapper(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,current_contribution):
if (current_index == 0):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev0_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 1):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev1_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 2):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev2_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 3):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev3_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 4):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev4_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 5):
qoi,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev5_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
else:
raise Exception("Level not supported")
return qoi,time_for_qoi
def executeInstanceStochasticAdaptiveRefinementMultipleTasks_Wrapper(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,print_to_file,current_contribution,pickled_mapping_reference_model=None):
if (current_index == 0):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev0_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 1):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev1_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 2):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev2_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 3):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev3_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 4):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev4_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 5):
qoi,pickled_current_model,time_for_qoi = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev5_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
else:
raise Exception("Level not supported")
return qoi,pickled_current_model,time_for_qoi
def executeInstanceDeterministicAdaptiveRefinement_Wrapper(current_index,pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
if (current_index == 0):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev0_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
elif (current_index == 1):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev1_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
elif (current_index == 2):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev2_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
elif (current_index == 3):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev3_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
elif (current_index == 4):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev4_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
elif (current_index == 5):
qoi,time_for_qoi = executeInstanceDeterministicAdaptiveRefinementAuxLev5_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
else:
raise Exception("Level not supported")
return qoi,time_for_qoi
def executeInstanceReadingFromFile_Wrapper(current_index,pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,current_contribution):
if (current_index == 0):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev0_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 1):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev1_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 2):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev2_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 3):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev3_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 4):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev4_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
elif (current_index == 5):
qoi,time_for_qoi = executeInstanceReadingFromFileAuxLev5_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,"filename_level_"+str(current_index)+"_contribution_"+str(current_contribution)+"_random_variable_"+str(random_variable[0])+".dat")
else:
raise Exception("Level not supported")
return qoi,time_for_qoi
####################################################################################################
############################################## TASKS ###############################################
####################################################################################################
############################### StochasticAdaptiveRefinementAllAtOnce ##############################
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_0}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev0_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_0"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
return qoi,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_1}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev1_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_1"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
return qoi,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_2}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev2_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_2"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
else: # not running since we jump from coarsest to finest level
pass
return qoi,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_3}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev3_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_3"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
return qoi,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_4}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev4_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_4"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
return qoi,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=2)
@constraint(ComputingUnits="${computing_units_mlmc_execute_5}")
@ExaquteTask(returns=2)
def ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev5_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_analysis,time_for_qoi,mapping_flag,adaptive_refinement_jump_to_finest_level,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_5"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
pickled_coarsest_model = pickled_coarse_model
for current_local_index in range(current_index+1):
if ((adaptive_refinement_jump_to_finest_level is False) or (adaptive_refinement_jump_to_finest_level is True and (current_local_index == 0 or current_local_index == current_index))):
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_coarsest_model,print_to_file,filename)
del(pickled_coarse_model)
pickled_coarse_model = pickled_current_model
del(pickled_current_model)
return qoi,time_for_qoi
############################# StochasticAdaptiveRefinementMultipleTasks ############################
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_0}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev0_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_0"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_1}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev1_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_1"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_2}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev2_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_2"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_3}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev3_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_3"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_4}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev4_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_4"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
# @ExaquteTask(filename=FILE_OUT,returns=3)
@constraint(ComputingUnits="${computing_units_mlmc_execute_5}")
@ExaquteTask(returns=3)
def ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev5_Task(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_5"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,pickled_current_model,time_for_qoi = \
ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_local_index,current_analysis,time_for_qoi,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename)
return qoi,pickled_current_model,time_for_qoi
########################################## DeterministicAdaptiveRefinement ########################################
@constraint(ComputingUnits="${computing_units_mlmc_execute_0}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev0_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_0"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_1}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev1_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_1"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_2}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev2_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_2"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_3}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev3_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_3"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_4}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev4_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_4"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_5}")
@ExaquteTask(returns=2)
def executeInstanceDeterministicAdaptiveRefinementAuxLev5_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_5"])
threadpool_limits(limits=open_mp_threads)
except:
pass
qoi,time_for_qoi = \
ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi)
return qoi,time_for_qoi
########################################## ReadingFromFile #########################################
@constraint(ComputingUnits="${computing_units_mlmc_execute_0}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev0_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_0"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_1}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev1_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_1"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_2}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev2_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_2"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_3}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev3_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_3"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_4}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev4_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_4"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
@constraint(ComputingUnits="${computing_units_mlmc_execute_5}")
@ExaquteTask(returns=2)
def executeInstanceReadingFromFileAuxLev5_Task(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
try:
open_mp_threads = int(os.environ["computing_units_mlmc_execute_5"])
threadpool_limits(limits=open_mp_threads)
except:
open_mp_threads = 1
qoi,time_for_qoi = \
ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis,random_variable,time_for_qoi,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads)
return qoi,time_for_qoi
############################################# ZeroTask #############################################
@ExaquteTask(returns=2)
def returnZeroQoiAndTime_Task(number):
qoi = [0.0 for _ in range(number)]
time_for_qoi = 0.0
return qoi,time_for_qoi
####################################################################################################
######################################### FUNCTIONALITIES ##########################################
####################################################################################################
def ExecuteInstanceDeterministicAdaptiveRefinementAux_Functionality(pickled_model,pickled_project_parameters,current_analysis_stage,random_variable,previous_computational_time):
"""
Auxiliary method to the solve method of the KratosSolverWrapper class. The problem is solved calling Kratos. To be called if the selected refinement strategy is deterministic_adaptive_refinement.
Inputs:
- pickled_model: serialization of the model.
- pickled_project_parameters: serialization of the Project Parameters.
- current_analysis_stage: analysis stage of the problem.
- random_variable: random variable of the current instance.
- previous_computational_time: time to solution of previous indices, if any.
Outputs:
- qoi: list containing all the quantities of interest.
- computational_time: time to solution up to current index.
"""
start_time = time.time()
# overwrite the old model serializer with the unpickled one
model_serializer = pickle.loads(pickled_model)
current_model = KratosMultiphysics.Model()
model_serializer.Load("ModelSerialization",current_model)
del(model_serializer)
# overwrite the old parameters serializer with the unpickled one
serialized_project_parameters = pickle.loads(pickled_project_parameters)
current_project_parameters = KratosMultiphysics.Parameters()
serialized_project_parameters.Load("ParametersSerialization",current_project_parameters)
del(serialized_project_parameters)
simulation = current_analysis_stage(current_model,current_project_parameters,random_variable)
simulation.Run()
qoi = simulation.EvaluateQuantityOfInterest()
end_time = time.time()
computational_time = previous_computational_time + (end_time-start_time)
return qoi,computational_time
def ExecuteInstanceStochasticAdaptiveRefinementAux_Functionality(current_global_index,pickled_coarse_model,pickled_coarse_project_parameters,pickled_custom_metric_refinement_parameters,pickled_custom_remesh_refinement_parameters,random_variable,current_index,current_analysis_stage,previous_computational_time,open_mp_threads,mapping_flag,pickled_mapping_reference_model,print_to_file,filename):
"""
Auxiliary method to the solve method of the KratosSolverWrapper class. Firstly, if needed, adaptive refinement is performed. Then the problem is solved calling Kratos. To be called if the selected refinement strategy is stochastic_adaptive_refinement.
Inputs:
- current_global_index: index we are interested in and for which we have called the solve method of the solver wrapper.
- pickled_coarse_model: serialization of the model.
- pickled_coarse_project_parameters: serialization of the parameters.
- pickled_custom_metric_refinement_parameters: serialization of metric adaptive refinement parameters.
- pickled_custom_remesh_refinement_parameters: serialization of remeshing adaptive refinement parameters.
- random_variable: list containing all random variables.
- current_index: index we are currently solving at this moment. May be different from current_global_index for "stocharstic_adaptive_refinement" strategy.
- current_analysis_stage: Kratos analysis stage of the problem.
- previous_computational_time: time to solution of previous indices, if any.
- open_mp_threads: number of threads we are exploiting to solve current task.
- mapping_flag: booleans. Defines if in current_analysis_stage = SimulationScenario class mapping is required.
- pickled_mapping_reference_model: Kratos Model to which mapping is performed.
- print_to_file: boolean. If true, the specific filename is passed to the analysis stage.
- filename: string which defines the name of the file the task will write, if any.
Outputs:
- qoi: quantities of interest.
- pickled_finer_model: serialized adaptively refined model, used at current index.
- computational_time: time to solution up to current index.
"""
start_time = time.time()
# unpickle model and build Kratos Model object
serialized_model = pickle.loads(pickled_coarse_model)
current_model = KratosMultiphysics.Model()
serialized_model.Load("ModelSerialization",current_model)
del(serialized_model)
# unpickle parameters and build Kratos Parameters object
serialized_project_parameters = pickle.loads(pickled_coarse_project_parameters)
current_project_parameters = KratosMultiphysics.Parameters()
serialized_project_parameters.Load("ParametersSerialization",current_project_parameters)
del(serialized_project_parameters)
# refine if current current_global_index > 0, adaptive refinement based on the solution of previous index
if (current_index > 0):
# unpickle metric and remesh refinement parameters and build Kratos Parameters objects
serialized_custom_metric_refinement_parameters = pickle.loads(pickled_custom_metric_refinement_parameters)
serialized_custom_remesh_refinement_parameters = pickle.loads(pickled_custom_remesh_refinement_parameters)
current_custom_metric_refinement_parameters = KratosMultiphysics.Parameters()
current_custom_remesh_refinement_parameters = KratosMultiphysics.Parameters()
serialized_custom_metric_refinement_parameters.Load("MetricRefinementParametersSerialization",current_custom_metric_refinement_parameters)
serialized_custom_remesh_refinement_parameters.Load("RemeshRefinementParametersSerialization",current_custom_remesh_refinement_parameters)
del(serialized_custom_metric_refinement_parameters,serialized_custom_remesh_refinement_parameters)
# refine the model Kratos object
adaptive_refinement_manager = AdaptiveRefinement(current_index,current_model,current_project_parameters,current_custom_metric_refinement_parameters,current_custom_remesh_refinement_parameters)
refined_model,refined_project_parameters = adaptive_refinement_manager.ComputeAdaptiveRefinement()
current_model = refined_model
del(refined_model,refined_project_parameters)
# constructor analysis stage
simulation = current_analysis_stage(current_model,current_project_parameters,random_variable)
# add filename flag print_to_file is true
if (print_to_file):
simulation.filename = filename
# add flag if current index is maximum index
if (current_index == current_global_index):
simulation.is_current_index_maximum_index = True
else:
simulation.is_current_index_maximum_index = False
# mapping if in current finest level and mapping flag is true
# otherwise standard behavior
if (mapping_flag is True and current_index == current_global_index):
# unpickle mapping reference model and build Kratos Model object
serialized_mapping_reference_model = pickle.loads(pickled_mapping_reference_model)
mapping_reference_model = KratosMultiphysics.Model()
serialized_mapping_reference_model.Load("ModelSerialization",mapping_reference_model)
del(serialized_mapping_reference_model)
# send reference model to analysis stage for mapping and set mapping flag to true
simulation.mapping_reference_model = mapping_reference_model
simulation.mapping = True
simulation.Run()
# mapping if in current finest level and mapping flag is true
# otherwise standard qoi evaluation
if (mapping_flag is True and current_index == current_global_index):
qoi = simulation.MappingAndEvaluateQuantityOfInterest()
else:
qoi = simulation.EvaluateQuantityOfInterest()
# save model and parameters as MpiSerializer Kratos objects
serialized_finer_model = KratosMultiphysics.MpiSerializer()
serialized_finer_model.Save("ModelSerialization",simulation.model)
# pickle model and parameters
pickled_finer_model = pickle.dumps(serialized_finer_model, 2) # second argument is the protocol and is NECESSARY (according to pybind11 docs)
del(simulation)
end_time = time.time()
computational_time = previous_computational_time + open_mp_threads*(end_time-start_time) # multiply by open mp threads to consider real machine cost
return qoi,pickled_finer_model,computational_time
@ExaquteTask(returns=2)
def ExecuteInstanceReadingFromFileAux_Functionality(pickled_model,pickled_project_parameters,current_analysis_stage,random_variable,previous_computational_time,mapping_flag,pickled_mapping_reference_model,print_to_file,filename,open_mp_threads):
"""
Auxiliary method to the solve method of the KratosSolverWrapper class. The problem is solved calling Kratos. To be called if the selected refinement strategy is reading_from_file.
Inputs:
- pickled_model: serialization of the model.
- pickled_project_parameters: serialization of the parameters.
- current_analysis_stage: Kratos analysis stage of the problem.
- random_variable: list containing all random variables.
- previous_computational_time: time to solution of previous indices, if any.
- mapping_flag: booleans. Defines if in current_analysis_stage = SimulationScenario class mapping is required.
- pickled_mapping_reference_model: Kratos Model to which mapping is performed.
- print_to_file: boolean. If true, the specific filename is passed to the analysis stage.
- filename: string which defines the name of the file the task will write, if any.
- open_mp_threads: number of threads we are exploiting to solve current task.
Outputs:
- qoi: quantities of interest.
- computational_time: time to solution up to current index.
"""
start_time = time.time()
# unpickle model and build Kratos Model object
serialized_model = pickle.loads(pickled_model)
current_model = KratosMultiphysics.Model()
serialized_model.Load("ModelSerialization",current_model)
del(serialized_model)
# unpickle parameters and build Kratos Parameters object
serialized_project_parameters = pickle.loads(pickled_project_parameters)
current_project_parameters = KratosMultiphysics.Parameters()
serialized_project_parameters.Load("ParametersSerialization",current_project_parameters)
del(serialized_project_parameters)
# constructor analysis stage
simulation = current_analysis_stage(current_model,current_project_parameters,random_variable)
# add filename flag print_to_file is true
if (print_to_file):
simulation.filename = filename
# add flag if current index is maximum index: always True
simulation.is_current_index_maximum_index = True
# mapping if in current finest level (always true) and mapping flag is true
# otherwise standard behavior
if (mapping_flag is True):
# unpickle mapping reference model and build Kratos Model object
serialized_mapping_reference_model = pickle.loads(pickled_mapping_reference_model)
mapping_reference_model = KratosMultiphysics.Model()
serialized_mapping_reference_model.Load("ModelSerialization",mapping_reference_model)
del(serialized_mapping_reference_model)
# send reference model to analysis stage for mapping and set mapping flag to true
simulation.mapping_reference_model = mapping_reference_model
simulation.mapping = True
simulation.Run()
# mapping if in current finest level and mapping flag is true
# otherwise standard qoi evaluation
if (mapping_flag is True):
qoi = simulation.MappingAndEvaluateQuantityOfInterest()
else:
qoi = simulation.EvaluateQuantityOfInterest()
del(simulation)
end_time = time.time()
computational_time = previous_computational_time + open_mp_threads*(end_time-start_time) # multiply by open mp threads to consider real machine cost
return qoi,computational_time
| 76.874807
| 531
| 0.81676
| 5,809
| 49,738
| 6.507661
| 0.04493
| 0.028516
| 0.040738
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| 0.934053
| 0.919715
| 0.907362
| 0.891437
| 0.885776
| 0.870513
| 0
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| 0.096707
| 49,738
| 646
| 532
| 76.993808
| 0.836627
| 0.117777
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| 0.064722
| 0.039145
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| 1
| 0.067368
| false
| 0.016842
| 0.012632
| 0
| 0.147368
| 0.128421
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| 1
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|
0
| 7
|
d2c37eaeb9c02e273938bfee618c637e6c1f35c6
| 10,135
|
py
|
Python
|
goods/serializers.py
|
ashrafali46/GreaterWMS
|
1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72
|
[
"Apache-2.0"
] | 2
|
2021-11-09T10:29:44.000Z
|
2021-11-15T08:03:40.000Z
|
goods/serializers.py
|
ashrafali46/GreaterWMS
|
1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72
|
[
"Apache-2.0"
] | null | null | null |
goods/serializers.py
|
ashrafali46/GreaterWMS
|
1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72
|
[
"Apache-2.0"
] | null | null | null |
from rest_framework import serializers
from .models import ListModel
from utils import datasolve
class GoodsGetSerializer(serializers.ModelSerializer):
goods_code = serializers.CharField(read_only=True, required=False)
goods_desc = serializers.CharField(read_only=True, required=False)
goods_supplier = serializers.CharField(read_only=True, required=False)
goods_weight = serializers.FloatField(read_only=True, required=False)
goods_w = serializers.FloatField(read_only=True, required=False)
goods_d = serializers.FloatField(read_only=True, required=False)
goods_h = serializers.FloatField(read_only=True, required=False)
unit_volume = serializers.FloatField(read_only=True, required=False)
goods_unit = serializers.CharField(read_only=True, required=False)
goods_class = serializers.CharField(read_only=True, required=False)
goods_brand = serializers.CharField(read_only=True, required=False)
goods_color = serializers.CharField(read_only=True, required=False)
goods_shape = serializers.CharField(read_only=True, required=False)
goods_specs = serializers.CharField(read_only=True, required=False)
goods_origin = serializers.CharField(read_only=True, required=False)
goods_cost = serializers.FloatField(read_only=True, required=False)
goods_price = serializers.FloatField(read_only=True, required=False)
creater = serializers.CharField(read_only=True, required=False)
create_time = serializers.DateTimeField(read_only=True, format='%Y-%m-%d %H:%M:%S')
update_time = serializers.DateTimeField(read_only=True, format='%Y-%m-%d %H:%M:%S')
class Meta:
model = ListModel
exclude = ['openid', 'is_delete', ]
read_only_fields = ['id']
class GoodsPostSerializer(serializers.ModelSerializer):
openid = serializers.CharField(read_only=False, required=False, validators=[datasolve.openid_validate])
goods_code = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_desc = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_supplier = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_weight = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_w = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_d = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_h = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
unit_volume = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_unit = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_class = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_brand = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_color = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_shape = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_specs = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_origin = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_cost = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_price = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
creater = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
class Meta:
model = ListModel
exclude = ['is_delete', ]
read_only_fields = ['id', 'create_time', 'update_time', ]
class GoodsUpdateSerializer(serializers.ModelSerializer):
goods_code = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_desc = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_supplier = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_weight = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_w = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_d = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_h = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
unit_volume = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_unit = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_class = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_brand = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_color = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_shape = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_specs = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_origin = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_cost = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
goods_price = serializers.FloatField(read_only=False, required=True, validators=[datasolve.data_validate])
creater = serializers.CharField(read_only=False, required=True, validators=[datasolve.data_validate])
class Meta:
model = ListModel
exclude = ['openid', 'is_delete', ]
read_only_fields = ['id', 'create_time', 'update_time', ]
class GoodsPartialUpdateSerializer(serializers.ModelSerializer):
goods_code = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_desc = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_supplier = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_weight = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_w = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_d = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_h = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
unit_volume = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_unit = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_class = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_brand = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_color = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_shape = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_specs = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_origin = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_cost = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
goods_price = serializers.FloatField(read_only=False, required=False, validators=[datasolve.data_validate])
creater = serializers.CharField(read_only=False, required=False, validators=[datasolve.data_validate])
class Meta:
model = ListModel
exclude = ['openid', 'is_delete', ]
read_only_fields = ['id', 'create_time', 'update_time', ]
class FileRenderSerializer(serializers.ModelSerializer):
goods_code = serializers.CharField(read_only=False, required=False)
goods_desc = serializers.CharField(read_only=False, required=False)
goods_supplier = serializers.CharField(read_only=False, required=False)
goods_weight = serializers.FloatField(read_only=False, required=False)
goods_w = serializers.FloatField(read_only=False, required=False)
goods_d = serializers.FloatField(read_only=False, required=False)
goods_h = serializers.FloatField(read_only=False, required=False)
unit_volume = serializers.FloatField(read_only=False, required=False)
goods_unit = serializers.CharField(read_only=False, required=False)
goods_class = serializers.CharField(read_only=False, required=False)
goods_brand = serializers.CharField(read_only=False, required=False)
goods_color = serializers.CharField(read_only=False, required=False)
goods_shape = serializers.CharField(read_only=False, required=False)
goods_specs = serializers.CharField(read_only=False, required=False)
goods_origin = serializers.CharField(read_only=False, required=False)
goods_cost = serializers.FloatField(read_only=False, required=False)
goods_price = serializers.FloatField(read_only=False, required=False)
creater = serializers.CharField(read_only=False, required=False)
create_time = serializers.DateTimeField(read_only=True, format='%Y-%m-%d %H:%M:%S')
update_time = serializers.DateTimeField(read_only=True, format='%Y-%m-%d %H:%M:%S')
class Meta:
model = ListModel
ref_name = 'GOODSFileRenderSerializer'
exclude = ['openid', 'is_delete', ]
| 77.961538
| 114
| 0.781056
| 1,192
| 10,135
| 6.422819
| 0.052852
| 0.103448
| 0.123955
| 0.200235
| 0.961076
| 0.961076
| 0.961076
| 0.953239
| 0.825758
| 0.700627
| 0
| 0
| 0.109916
| 10,135
| 129
| 115
| 78.565891
| 0.848686
| 0
| 0
| 0.463415
| 0
| 0
| 0.023286
| 0.002467
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.02439
| 0
| 0.878049
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
824bbb77d6fdecb403e6e2d3d18a46a3be4c368b
| 5,375
|
py
|
Python
|
tests/test_cli.py
|
Mariatta/arq
|
7d44d1db21cc4c8eb0c6e24f510f6ba054a72f25
|
[
"MIT"
] | 1
|
2021-01-03T00:57:38.000Z
|
2021-01-03T00:57:38.000Z
|
tests/test_cli.py
|
Mariatta/arq
|
7d44d1db21cc4c8eb0c6e24f510f6ba054a72f25
|
[
"MIT"
] | null | null | null |
tests/test_cli.py
|
Mariatta/arq
|
7d44d1db21cc4c8eb0c6e24f510f6ba054a72f25
|
[
"MIT"
] | null | null | null |
import re
import signal
from unittest.mock import MagicMock
import pytest
from click.testing import CliRunner
import arq.worker
from arq.cli import cli
from .fixtures import EXAMPLE_FILE
def test_simple_burst(tmpworkdir, monkeypatch):
# we have to prevent RunWorkerProcess actually starting another process
# TODO remove after https://bitbucket.org/ned/coveragepy/issues/512
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'exitcode', 0)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
runner = CliRunner()
result = runner.invoke(cli, ['--burst', 'test.py'])
assert result.exit_code == 0
output = re.sub('\d+:\d+:\d+', 'TIME', result.output)
assert output == ('TIME MainProcess: starting work process "WorkProcess"\n'
'TIME MainProcess: worker process exited ok\n')
def test_worker_exited_badly(tmpworkdir, monkeypatch):
# we have to prevent RunWorkerProcess actually starting another process
# TODO remove after https://bitbucket.org/ned/coveragepy/issues/512
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'exitcode', 42)
monkeypatch.setattr(arq.worker.Process, 'pid', 123)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
runner = CliRunner()
result = runner.invoke(cli, ['--burst', 'test.py'])
assert result.exit_code == 3
output = re.sub('\d+:\d+:\d+', 'TIME', result.output)
assert ('TIME MainProcess: starting work process "WorkProcess"\n'
'TIME MainProcess: worker process 123 exited badly with exit code 42\n') == output
def test_main_process_sigint(tmpworkdir, monkeypatch, caplog):
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'is_alive', MagicMock(return_value=True))
monkeypatch.setattr(arq.worker.Process, 'exitcode', 0)
monkeypatch.setattr(arq.worker.Process, 'pid', 123)
os_kill = MagicMock()
monkeypatch.setattr(arq.worker.os, 'kill', os_kill)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
work_runner = arq.worker.RunWorkerProcess('test.py', 'Worker')
work_runner.handle_sig(signal.SIGINT, None)
assert 'got signal: SIGINT, waiting for worker pid=123 to finish...' in caplog
os_kill.assert_called_once_with(123, arq.worker.SIG_PROXY)
def test_main_process_sigint_worker_stopped(tmpworkdir, monkeypatch, caplog):
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'is_alive', MagicMock(return_value=False))
monkeypatch.setattr(arq.worker.Process, 'exitcode', 0)
monkeypatch.setattr(arq.worker.Process, 'pid', 123)
os_kill = MagicMock()
monkeypatch.setattr(arq.worker.os, 'kill', os_kill)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
work_runner = arq.worker.RunWorkerProcess('test.py', 'Worker')
work_runner.handle_sig(signal.SIGINT, None)
assert os_kill.called is False
def test_main_process_sigint_twice(tmpworkdir, monkeypatch, caplog):
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
is_alive = MagicMock(return_value=False)
monkeypatch.setattr(arq.worker.Process, 'is_alive', is_alive)
monkeypatch.setattr(arq.worker.Process, 'exitcode', 0)
monkeypatch.setattr(arq.worker.Process, 'pid', 123)
os_kill = MagicMock()
monkeypatch.setattr(arq.worker.os, 'kill', os_kill)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
work_runner = arq.worker.RunWorkerProcess('test.py', 'Worker')
with pytest.raises(arq.worker.ImmediateExit):
work_runner.handle_sig_force(signal.SIGINT, None)
assert is_alive.call_count == 1
assert not os_kill.called
assert 'got signal: SIGINT again, forcing exit' in caplog
def test_main_process_sigint_twice_worker_running(tmpworkdir, monkeypatch, caplog):
monkeypatch.setattr(arq.worker.Process, 'start', MagicMock())
monkeypatch.setattr(arq.worker.Process, 'join', MagicMock())
is_alive = MagicMock(return_value=True)
monkeypatch.setattr(arq.worker.Process, 'is_alive', is_alive)
monkeypatch.setattr(arq.worker.Process, 'exitcode', 0)
monkeypatch.setattr(arq.worker.Process, 'pid', 123)
os_kill = MagicMock()
monkeypatch.setattr(arq.worker.os, 'kill', os_kill)
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
work_runner = arq.worker.RunWorkerProcess('test.py', 'Worker')
with pytest.raises(arq.worker.ImmediateExit):
work_runner.handle_sig_force(signal.SIGINT, None)
assert is_alive.call_count == 1
os_kill.assert_called_once_with(123, signal.SIGTERM)
assert 'got signal: SIGINT again, forcing exit' in caplog
def test_check_successful(tmpworkdir, monkeypatch):
monkeypatch.setattr(arq.worker.BaseWorker, 'check_health', MagicMock(return_value=0))
tmpworkdir.join('test.py').write(EXAMPLE_FILE)
runner = CliRunner()
result = runner.invoke(cli, ['--check', 'test.py'])
assert result.exit_code == 0, result.output
| 44.791667
| 94
| 0.730419
| 688
| 5,375
| 5.579942
| 0.159884
| 0.093774
| 0.175046
| 0.225059
| 0.864027
| 0.851524
| 0.838239
| 0.805418
| 0.805418
| 0.805418
| 0
| 0.010369
| 0.138791
| 5,375
| 119
| 95
| 45.168067
| 0.818967
| 0.050419
| 0
| 0.638298
| 0
| 0
| 0.138851
| 0
| 0
| 0
| 0
| 0.008403
| 0.148936
| 1
| 0.074468
| false
| 0
| 0.085106
| 0
| 0.159574
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
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| 0
| null | 0
| 0
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| 0
|
0
| 7
|
8259854776cdd05879f6596d665b295aa14ae4ca
| 13,848
|
py
|
Python
|
tests/test_tokenization.py
|
jingtaozhan/pyserini
|
1941a2519891eeaef1896bd3457919e561f7f8b1
|
[
"Apache-2.0"
] | 1
|
2022-02-21T05:14:06.000Z
|
2022-02-21T05:14:06.000Z
|
tests/test_tokenization.py
|
crystina-z/pyserini
|
3b5bba53f2a1f1875b7404a3521144be9ac94c9c
|
[
"Apache-2.0"
] | null | null | null |
tests/test_tokenization.py
|
crystina-z/pyserini
|
3b5bba53f2a1f1875b7404a3521144be9ac94c9c
|
[
"Apache-2.0"
] | null | null | null |
#
# Pyserini: Python interface to the Anserini IR toolkit built on Lucene
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from transformers import BertTokenizer, T5Tokenizer, AutoTokenizer
import unittest
class TestTokenization(unittest.TestCase):
def setUp(self):
pass
def test_bert_base_uncased(self):
# https://huggingface.co/transformers/tokenizer_summary.html
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
tokens = tokenizer.tokenize('I have a new GPU!')
self.assertEqual(['i', 'have', 'a', 'new', 'gp', '##u', '!'], tokens)
def test_bert_base_uncased(self):
# These are examples used in the ptr4tr book
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
tokens = tokenizer.tokenize('walking talking balking biking hiking rolling scrolling')
self.assertEqual(['walking', 'talking', 'bal', '##king', 'biking', 'hiking', 'rolling', 'scrolling'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['bio', '##sta', '##tist', '##ics'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['ad', '##vers', '##aria', '##l'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-cased')
tokens = tokenizer.tokenize('walking talking balking biking hiking')
self.assertEqual(['walking', 'talking', 'b', '##alk', '##ing', 'bi', '##king', 'hiking'], tokens)
tokens = tokenizer.tokenize('rolling scrolling')
self.assertEqual(['rolling', 'scroll', '##ing'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['bio', '##sta', '##tist', '##ics'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['ad', '##vers', '##aria', '##l'], tokens)
def test_xlm_roberta_base(self):
tokenizer = AutoTokenizer.from_pretrained('xlm-roberta-base')
tokens = tokenizer.tokenize('walking talking balking biking hiking rolling scrolling')
self.assertEqual(['▁walking', '▁talking', '▁bal', 'king', '▁bi', 'king', '▁hi', 'king', '▁roll', 'ing', '▁scroll', 'ing'], tokens)
tokens = tokenizer.tokenize('rolling scrolling')
self.assertEqual(['▁roll', 'ing', '▁scroll', 'ing'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['▁bio', 'stat', 'istic', 's'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['▁adversari', 'al'], tokens)
def test_bert_base_multilingual_en(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
tokens = tokenizer.tokenize('walking talking balking biking hiking rolling scrolling')
self.assertEqual(['walking', 'talking', 'bal', '##king', 'bi', '##king', 'hi', '##king', 'rolling', 'sc', '##roll', '##ing'], tokens)
tokens = tokenizer.tokenize('rolling scrolling')
self.assertEqual(['rolling', 'sc', '##roll', '##ing'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['bio', '##stat', '##istic', '##s'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['ad', '##versari', '##al'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
tokens = tokenizer.tokenize('walking talking balking biking hiking')
self.assertEqual(['walking', 'talking', 'bal', '##king', 'bi', '##king', 'hi', '##king'], tokens)
tokens = tokenizer.tokenize('rolling scrolling')
self.assertEqual(['rolling', 's', '##cro', '##lling'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['bio', '##stati', '##stic', '##s'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['ad', '##versari', '##al'], tokens)
def test_bert_base_multilingual_fr(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('marche parler vélo randonnée rouler défilement')
self.assertEqual(['marche', 'parler', 'velo', 'rand', '##onne', '##e', 'ro', '##uler', 'def', '##ile', '##ment'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('défilement roulant')
self.assertEqual(['def', '##ile', '##ment', 'ro', '##ulant'], tokens)
# biostatistics
tokens = tokenizer.tokenize('biostatistique')
self.assertEqual(['bio', '##stat', '##istique'], tokens)
# adversarial
tokens = tokenizer.tokenize('antagoniste')
self.assertEqual(['ant', '##ago', '##niste'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('marche parler vélo randonnée rouler défilement')
self.assertEqual(['marche', 'parler', 'v', '##él', '##o', 'rand', '##onnée', 'ro', '##uler', 'dé', '##file', '##ment'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('défilement roulant')
self.assertEqual(['dé', '##file', '##ment', 'ro', '##ulant'], tokens)
# biostatistics
tokens = tokenizer.tokenize('biostatistique')
self.assertEqual(['bio', '##stati', '##stique'], tokens)
# adversarial
tokens = tokenizer.tokenize('antagoniste')
self.assertEqual(['ant', '##agon', '##iste'], tokens)
def test_bert_base_multilingual_zh(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('走路说话骑自行车远足滚动滚动')
self.assertEqual(['走', '路', '说', '话', '骑', '自', '行', '车', '远', '足', '滚', '动', '滚', '动'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('滚动滚动')
self.assertEqual(['滚', '动', '滚', '动'], tokens)
# biostatistics
tokens = tokenizer.tokenize('生物统计学')
self.assertEqual(['生', '物', '统', '计', '学'], tokens)
# adversarial
tokens = tokenizer.tokenize('对抗的')
self.assertEqual(['对', '抗', '的'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('走路说话骑自行车远足滚动滚动')
self.assertEqual(['走', '路', '说', '话', '骑', '自', '行', '车', '远', '足', '滚', '动', '滚', '动'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('滚动滚动')
self.assertEqual(['滚', '动', '滚', '动'], tokens)
# biostatistics
tokens = tokenizer.tokenize('生物统计学')
self.assertEqual(['生', '物', '统', '计', '学'], tokens)
# adversarial
tokens = tokenizer.tokenize('对抗的')
self.assertEqual(['对', '抗', '的'], tokens)
def test_bert_base_multilingual_ar(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('المشي الحديث ركوب الدراجات المشي لمسافات طويلة المتداول التمرير')
self.assertEqual(['ال', '##م', '##شي', 'الحديث', 'ر', '##كو', '##ب', 'ال', '##در', '##اج', '##ات', 'ال', '##م', '##شي', 'لم', '##سا', '##فات', 'طويلة', 'ال', '##مت', '##دا', '##ول', 'ال', '##تم', '##رير'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('المتداول التمرير')
self.assertEqual(['ال', '##مت', '##دا', '##ول', 'ال', '##تم', '##رير'], tokens)
# biostatistics
tokens = tokenizer.tokenize('الإحصاء الحيوي')
self.assertEqual(['الاحصاء', 'ال', '##حي', '##وي'], tokens)
# adversarial
tokens = tokenizer.tokenize('عدائي')
self.assertEqual(['ع', '##دا', '##يي'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('المشي الحديث ركوب الدراجات المشي لمسافات طويلة المتداول التمرير')
self.assertEqual(['ال', '##م', '##شي', 'الحديث', 'ر', '##كو', '##ب', 'ال', '##در', '##اجات', 'ال', '##م', '##شي', 'لم', '##سا', '##فات', 'طويلة', 'ال', '##مت', '##دا', '##ول', 'ال', '##تم', '##رير'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('المتداول التمرير')
self.assertEqual(['ال', '##مت', '##دا', '##ول', 'ال', '##تم', '##رير'], tokens)
# biostatistics
tokens = tokenizer.tokenize('الإحصاء الحيوي')
self.assertEqual(['الإحصاء', 'ال', '##حي', '##وي'], tokens)
# adversarial
tokens = tokenizer.tokenize('عدائي')
self.assertEqual(['ع', '##دا', '##ئي'], tokens)
def test_bert_base_multilingual_hi(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('चलने की बात करते हुए बाइक चलाना लंबी पैदल यात्रा स्क्रॉल')
self.assertEqual(['चल', '##न', 'की', 'बात', 'करत', 'हए', 'ब', '##ा', '##इ', '##क', 'चल', '##ाना', 'ल', '##बी', 'पद', '##ल', 'यातरा', 'सक', '##र', '##ॉल'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('रोलिंग स्क्रॉल')
self.assertEqual(['र', '##ोल', '##िग', 'सक', '##र', '##ॉल'], tokens)
# biostatistics
tokens = tokenizer.tokenize('जैव सांख्यिकी')
self.assertEqual(['ज', '##व', 'स', '##ा', '##ख', '##यिक', '##ी'], tokens)
# adversarial
tokens = tokenizer.tokenize('विरोधात्मक')
self.assertEqual(['वि', '##रो', '##धा', '##तमक'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('चलने की बात करते हुए बाइक चलाना लंबी पैदल यात्रा स्क्रॉल')
self.assertEqual(['च', '##लन', '##े', 'की', 'बात', 'करते', 'हुए', 'ब', '##ा', '##इ', '##क', 'च', '##ला', '##ना', 'ल', '##ं', '##बी', 'प', '##ै', '##दल', 'यात्रा', 'स', '##्क', '##्र', '##ॉल'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('रोलिंग स्क्रॉल')
self.assertEqual(['र', '##ोल', '##िंग', 'स', '##्क', '##्र', '##ॉल'], tokens)
# biostatistics
tokens = tokenizer.tokenize('जैव सांख्यिकी')
self.assertEqual(['ज', '##ै', '##व', 'स', '##ा', '##ं', '##ख', '##्य', '##िकी'], tokens)
# adversarial
tokens = tokenizer.tokenize('विरोधात्मक')
self.assertEqual(['वि', '##रो', '##धा', '##त्मक'], tokens)
def test_bert_base_multilingual_bn(self):
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-uncased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('হাঁটাচলা বাইকিং হাইকিং রোলিং স্ক্রোলিং')
self.assertEqual(['হ', '##াট', '##া', '##চ', '##লা', 'বা', '##ই', '##কি', '##ং', 'হ', '##াই', '##কি', '##ং', 'র', '##ো', '##লি', '##ং', 'স', '##কর', '##ো', '##লি', '##ং'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('ঘূর্ণায়মান স্ক্রোলিং')
self.assertEqual(['ঘর', '##ণা', '##য', '##মান', 'স', '##কর', '##ো', '##লি', '##ং'], tokens)
# biostatistics
tokens = tokenizer.tokenize('বায়োস্টাটিক্স')
self.assertEqual(['বা', '##যে', '##াস', '##টা', '##টি', '##ক', '##স'], tokens)
# adversarial
tokens = tokenizer.tokenize('প্রতিকূল')
self.assertEqual(['পরতি', '##ক', '##ল'], tokens)
tokenizer = BertTokenizer.from_pretrained('bert-base-multilingual-cased')
# walking talking biking hiking rolling scrolling
tokens = tokenizer.tokenize('হাঁটাচলা বাইকিং হাইকিং রোলিং স্ক্রোলিং')
self.assertEqual(['হ', '##া', '##ঁ', '##টা', '##চ', '##লা', 'বা', '##ই', '##কি', '##ং', 'হ', '##াই', '##কি', '##ং', 'র', '##োল', '##িং', 'স', '##্ক', '##্র', '##োল', '##িং'], tokens)
# rolling scrolling
tokens = tokenizer.tokenize('ঘূর্ণায়মান স্ক্রোলিং')
self.assertEqual(['ঘ', '##ূর্ণ', '##ায়', '##মান', 'স', '##্ক', '##্র', '##োল', '##িং'], tokens)
# biostatistics
tokens = tokenizer.tokenize('বায়োস্টাটিক্স')
self.assertEqual(['বা', '##য়', '##ো', '##স্ট', '##াট', '##িক', '##্স'], tokens)
# adversarial
tokens = tokenizer.tokenize('প্রতিকূল')
self.assertEqual(['প্রতি', '##ক', '##ূ', '##ল'], tokens)
def test_doc2query(self):
tokenizer = T5Tokenizer.from_pretrained('castorini/doc2query-t5-base-msmarco')
tokens = tokenizer.tokenize('I have a new GPU!')
self.assertEqual(['▁I', '▁have', '▁', 'a', '▁new', '▁GPU', '!'], tokens)
tokenizer = T5Tokenizer.from_pretrained('castorini/doc2query-t5-base-msmarco')
tokens = tokenizer.tokenize('walking talking biking scrolling')
self.assertEqual(['▁walking', '▁talking', '▁biking', '▁scroll', 'ing'], tokens)
tokens = tokenizer.tokenize('biostatistics')
self.assertEqual(['▁bio', 'stat', 'istic', 's'], tokens)
tokens = tokenizer.tokenize('adversarial')
self.assertEqual(['▁adversar', 'i', 'al'], tokens)
def tearDown(self):
pass
if __name__ == '__main__':
unittest.main()
| 44.670968
| 221
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0
| 7
|
826d4b078338b76ca5c09b4e457dba1e2d0bdb28
| 2,075
|
py
|
Python
|
test/functions/decl6.py
|
Setonas/MagicSetonas
|
ef76da5f27a0506b194c58072b81424e3ce985d7
|
[
"MIT"
] | 5
|
2017-02-22T10:17:39.000Z
|
2021-04-06T16:36:13.000Z
|
test/functions/decl6.py
|
Setonas/MagicSetonas
|
ef76da5f27a0506b194c58072b81424e3ce985d7
|
[
"MIT"
] | null | null | null |
test/functions/decl6.py
|
Setonas/MagicSetonas
|
ef76da5f27a0506b194c58072b81424e3ce985d7
|
[
"MIT"
] | 1
|
2020-08-29T02:30:52.000Z
|
2020-08-29T02:30:52.000Z
|
apibrėžti Tiesa(): pereiti
apibrėžti Joks(): pereiti
apibrėžti Netikras(): pereiti
apibrėžti : meta.function.python, source.python, storage.type.function.python
: meta.function.python, source.python
Tiesa : keyword.illegal.name.python, meta.function.python, source.python
( : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.begin.python, source.python
) : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.end.python, source.python
: : meta.function.python, punctuation.section.function.begin.python, source.python
: source.python
pereiti : keyword.control.flow.python, source.python
apibrėžti : meta.function.python, source.python, storage.type.function.python
: meta.function.python, source.python
Joks : keyword.illegal.name.python, meta.function.python, source.python
( : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.begin.python, source.python
) : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.end.python, source.python
: : meta.function.python, punctuation.section.function.begin.python, source.python
: source.python
pereiti : keyword.control.flow.python, source.python
apibrėžti : meta.function.python, source.python, storage.type.function.python
: meta.function.python, source.python
Netikras : keyword.illegal.name.python, meta.function.python, source.python
( : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.begin.python, source.python
) : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.end.python, source.python
: : meta.function.python, punctuation.section.function.begin.python, source.python
: source.python
pereiti : keyword.control.flow.python, source.python
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0
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828133306abfd96c413c736f0a8cd03c128d692e
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|
py
|
Python
|
python/testData/inspections/PyPropertyDefinitionInspection26/test.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
python/testData/inspections/PyPropertyDefinitionInspection26/test.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
python/testData/inspections/PyPropertyDefinitionInspection26/test.py
|
06needhamt/intellij-community
|
63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b
|
[
"Apache-2.0"
] | null | null | null |
import abc
class A(object):
def __init__(self):
self._x = 1
@property
def foo(self):
return self._x
@foo.setter
def foo(self, x):
self._x = x
@foo.deleter
def foo(self):
pass
@property
def boo(self):
return self._x
<warning descr="Names of function and decorator don't match; property accessor is not created">@boo.setter</warning>
def boo1(self, x):
self._x = x
<warning descr="Names of function and decorator don't match; property accessor is not created">@boo.deleter</warning>
def boo2(self):
pass
@property
def <warning descr="Getter should return or yield something">moo</warning>(self):
pass
@moo.setter
def <warning descr="Setter should not return a value">moo</warning>(self, x):
return 1
@moo.deleter
def <warning descr="Deleter should not return a value">moo</warning>(self):
return self._x
@qoo.setter # unknown qoo is reported in ref inspection
def qoo(self, v):
self._x = v
@property
def futuroo(self):
raise NotImplementedError("Override!") # ok though no return
@property
def futuroo(self):
"""Docstring."""
raise NotImplementedError("Override!") # ok though no return
@property
def xoo(self):
return self._x
@xoo.setter
def xoo(self, x):
self._x = x
return
get_foo2 = lambda self: 'foo2'
foo2 = property(get_foo2)
@property
@abc.abstractproperty
def abstract_property(self):
pass
# PY-19701
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
def inner_func(n):
return n
self._myprop = inner_func(val)
myprop = property(get_myprop, set_myprop)
# all flows have exit point
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
if a > b:
<error descr="Python versions < 3.3 do not allow 'return' with argument inside generator.">return self._myprop</error>
elif a < b:
raise self._myprop
else:
yield self._myprop
myprop = property(get_myprop)
# some flows have not exit point
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
if a > b:
return self._myprop
elif a < b:
raise self._myprop
myprop = property(get_myprop)
# some flows have not exit point
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
if a > b:
return self._myprop
myprop = property(get_myprop)
# non-empty for
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
for i in range(5):
yield i
myprop = property(get_myprop)
# empty for
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
for i in []:
yield i
myprop = property(get_myprop) # shouldn't pass with better analysis, pass at the moment
# non-empty while
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
i = 0
while i < 5:
yield i
i += 1
myprop = property(get_myprop)
# empty while
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
while undefined:
yield i
myprop = property(get_myprop) # shouldn't pass with better analysis, pass at the moment
# non-empty while with two conditions
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
i = 0
j = 0
while i < 5 and j == 0:
yield i
i += 1
myprop = property(get_myprop)
# empty while with two conditions
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
i = 0
j = 0
while i > 5 and j == 0:
yield i
myprop = property(get_myprop) # shouldn't pass with better analysis, pass at the moment
# setter has exit point
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
return 10
myprop = property(get_myprop, <warning descr="Setter should not return a value">set_myprop</warning>)
# setter has exit point
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
yield 10
myprop = property(get_myprop, <warning descr="Setter should not return a value">set_myprop</warning>)
# setter has raise statement
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
raise NotImplementedError()
myprop = property(get_myprop, set_myprop)
# setter has exit point in some flow
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
if a > b:
return 10
myprop = property(get_myprop, <warning descr="Setter should not return a value">set_myprop</warning>)
# setter has exit point in some flow
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
if a > b:
yield 10
myprop = property(get_myprop, <warning descr="Setter should not return a value">set_myprop</warning>)
# setter has raise statement in some flow
class Test(object):
def __init__(self):
self._myprop = None
def get_myprop(self):
return self._myprop
def set_myprop(self, val):
self._myprop = val
if a > b:
raise NotImplementedError()
myprop = property(get_myprop, set_myprop)
| 20.473684
| 130
| 0.619055
| 839
| 6,224
| 4.396901
| 0.134684
| 0.097587
| 0.059908
| 0.078341
| 0.803199
| 0.788832
| 0.757387
| 0.757387
| 0.703172
| 0.671185
| 0
| 0.008125
| 0.288078
| 6,224
| 303
| 131
| 20.541254
| 0.824419
| 0.103952
| 0
| 0.795918
| 0
| 0
| 0.087216
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.020408
| 0.005102
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
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| 0
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| 0
|
0
| 8
|
8285f02c01d430ca10a9e2f5d9aa6f2ce6935815
| 59,377
|
py
|
Python
|
tests/pydevtest/test_iadmin.py
|
wtsi-npg/irods
|
05ff1d20e7d991912c7822f981888e91899118e7
|
[
"BSD-3-Clause"
] | null | null | null |
tests/pydevtest/test_iadmin.py
|
wtsi-npg/irods
|
05ff1d20e7d991912c7822f981888e91899118e7
|
[
"BSD-3-Clause"
] | null | null | null |
tests/pydevtest/test_iadmin.py
|
wtsi-npg/irods
|
05ff1d20e7d991912c7822f981888e91899118e7
|
[
"BSD-3-Clause"
] | 1
|
2015-02-19T18:30:33.000Z
|
2015-02-19T18:30:33.000Z
|
import sys
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
import commands
import getpass
import imp
import json
import os
import shutil
import socket
import stat
import subprocess
import time
import configuration
import lib
import resource_suite
# path to server_config.py
pydevtestdir = os.path.dirname(os.path.realpath(__file__))
topdir = os.path.dirname(os.path.dirname(pydevtestdir))
packagingdir = os.path.join(topdir, 'packaging')
module_tuple = imp.find_module('server_config', [packagingdir])
imp.load_module('server_config', *module_tuple)
from server_config import ServerConfig
def write_host_access_control(filename, username, group, address, mask):
add_ent = {
'user': username,
'group': group,
'address': address,
'mask': mask,
}
address_entries = [add_ent]
hac = {'access_entries': address_entries}
with open(filename, 'w') as f:
json.dump(hac, f, sort_keys=True, indent=4, ensure_ascii=False)
class Test_Iadmin(resource_suite.ResourceBase, unittest.TestCase):
def setUp(self):
super(Test_Iadmin, self).setUp()
def tearDown(self):
super(Test_Iadmin, self).tearDown()
def test_api_plugin(self):
self.admin.assert_icommand("iapitest", 'STDOUT_SINGLELINE', 'this')
assert 0 < lib.count_occurrences_of_string_in_log('server', 'HELLO WORLD')
###################
# iadmin
###################
# PASSWORDS
def test_iadmin_scrambling_and_descrambling(self):
# spass
self.admin.assert_icommand("iadmin spass gibberish 456", 'STDOUT_SINGLELINE', 'Scrambled form is:VMd96$wwJ')
self.admin.assert_icommand("iadmin spass '-startswithhyphen' 123", 'STDERR_SINGLELINE', 'parseCmdLineOpt: Option not supported.')
self.admin.assert_icommand("iadmin -- spass '-startswithhyphen' 123", 'STDOUT_SINGLELINE', 'Scrambled form is:9u&sabM*+#ht+ahb!')
# dspass
self.admin.assert_icommand("iadmin dspass VMd96$wwJ 456", 'STDOUT_SINGLELINE', 'Unscrambled form is:gibberish')
self.admin.assert_icommand("iadmin dspass '-startswithhyphen' 123", 'STDERR_SINGLELINE', 'parseCmdLineOpt: Option not supported.')
self.admin.assert_icommand("iadmin -- dspass '-startswithhyphen' 123", 'STDOUT_SINGLELINE', 'Unscrambled form is:!qhI),9jGkhVm%hha')
# LISTS
def test_list_zones(self):
self.admin.assert_icommand("iadmin lz", 'STDOUT_SINGLELINE', self.admin.zone_name)
self.admin.assert_icommand("iadmin lz notazone", 'STDOUT_SINGLELINE', "No rows found")
def test_list_resources(self):
self.admin.assert_icommand("iadmin lr", 'STDOUT_SINGLELINE', self.testresc)
self.admin.assert_icommand("iadmin lr notaresource", 'STDOUT_SINGLELINE', "No rows found")
def test_list_users(self):
self.admin.assert_icommand("iadmin lu", 'STDOUT_SINGLELINE', [self.admin.username + "#" + self.admin.zone_name])
self.admin.assert_icommand("iadmin lu notauser", 'STDOUT_SINGLELINE', "No rows found")
def test_list_groups(self):
group_name = 'test_group'
lib.mkgroup_and_add_users(group_name, [self.admin.username, self.user0.username])
self.admin.assert_icommand('iadmin lg', 'STDOUT_SINGLELINE', group_name)
self.admin.assert_icommand_fail('iadmin lg', 'STDOUT_SINGLELINE', 'notagroup')
self.admin.assert_icommand('iadmin lg ' + group_name, 'STDOUT_SINGLELINE', self.user0.username)
self.admin.assert_icommand_fail('iadmin lg ' + group_name, 'STDOUT_SINGLELINE', 'notauser')
lib.rmgroup(group_name)
# RESOURCES
def test_resource_name_restrictions(self):
h = lib.get_hostname()
oversize_name = "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" # longer than NAME_LEN
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("?/=*", h, "junk"), 'STDERR_SINGLELINE', "SYS_INVALID_INPUT_PARAM") # invalid char
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("replication.B", h, "junk"), 'STDERR_SINGLELINE', "SYS_INVALID_INPUT_PARAM") # invalid char
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("replication{", h, "junk"), 'STDERR_SINGLELINE', "SYS_INVALID_INPUT_PARAM") # invalid char
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
(oversize_name, h, "junk"), 'STDERR_SINGLELINE', "SYS_INVALID_INPUT_PARAM") # too long
def test_modify_resource_name(self):
h = lib.get_hostname()
# tree standup
self.admin.assert_icommand("iadmin mkresc %s passthru %s:/tmp/irods/pydevtest_%s" %
("pt1", h, "pt1"), 'STDOUT_SINGLELINE', "Creating") # passthru
self.admin.assert_icommand("iadmin mkresc %s replication %s:/tmp/irods/pydevtest_%s" %
("repl", h, "repl"), 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unix1", h, "unix1"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc %s passthru %s:/tmp/irods/pydevtest_%s" %
("pt2", h, "pt2"), 'STDOUT_SINGLELINE', "Creating") # passthru
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unix2", h, "unix2"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("pt1", "repl"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("repl", "unix1"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("repl", "pt2"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("pt2", "unix2"))
# rename repl node
newnodename = "replwithmoreletters"
self.admin.assert_icommand("iadmin modresc %s name %s" %
("repl", newnodename), 'STDOUT_SINGLELINE', 'OK, performing the resource rename', stdin_string='yes\n')
# confirm children of pt1 is newnodename
self.admin.assert_icommand("iadmin lr %s" % "pt1", 'STDOUT_SINGLELINE', "resc_children: %s" % newnodename + "{}")
# confirm parent of newnodename is still pt1
self.admin.assert_icommand("iadmin lr %s" % newnodename, 'STDOUT_SINGLELINE', "resc_parent: %s" % "pt1")
# confirm children of newnodename is unix1 and pt2
self.admin.assert_icommand("iadmin lr %s" % newnodename, 'STDOUT_SINGLELINE', "resc_children: %s" % "unix1{};pt2{}")
# confirm parent of pt2 is newnodename
self.admin.assert_icommand("iadmin lr %s" % "pt2", 'STDOUT_SINGLELINE', "resc_parent: %s" % newnodename)
# confirm parent of unix2 is pt2
self.admin.assert_icommand("iadmin lr %s" % "unix2", 'STDOUT_SINGLELINE', "resc_parent: %s" % "pt2")
# confirm parent of unix1 is newnodename
self.admin.assert_icommand("iadmin lr %s" % "unix1", 'STDOUT_SINGLELINE', "resc_parent: %s" % newnodename)
# tree teardown
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("pt2", "unix2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % (newnodename, "unix1"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % (newnodename, "pt2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("pt1", newnodename))
self.admin.assert_icommand("iadmin rmresc %s" % "unix2")
self.admin.assert_icommand("iadmin rmresc %s" % "unix1")
self.admin.assert_icommand("iadmin rmresc %s" % "pt2")
self.admin.assert_icommand("iadmin rmresc %s" % newnodename)
self.admin.assert_icommand("iadmin rmresc %s" % "pt1")
def test_resource_hierarchy_errors(self):
# prep
self.admin.assert_icommand("iadmin mkresc %s passthru" %
("pt"), 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc %s passthru" %
("the_child"), 'STDOUT_SINGLELINE', "Creating")
# bad parent
self.admin.assert_icommand("iadmin addchildtoresc non_existent_resource %s" %
("pt"), 'STDERR_SINGLELINE', "CAT_INVALID_RESOURCE")
# bad child
self.admin.assert_icommand("iadmin addchildtoresc %s non_existent_resource" %
("pt"), 'STDERR_SINGLELINE', "CHILD_NOT_FOUND")
# duplicate parent
self.admin.assert_icommand("iadmin addchildtoresc pt the_child")
self.admin.assert_icommand("iadmin addchildtoresc pt the_child", 'STDERR_SINGLELINE', "CHILD_HAS_PARENT")
# cleanup
self.admin.assert_icommand("iadmin rmchildfromresc pt the_child")
self.admin.assert_icommand("iadmin rmresc the_child")
self.admin.assert_icommand("iadmin rmresc pt")
def test_resource_hierarchy_manipulation(self):
h = lib.get_hostname()
# first tree standup
self.admin.assert_icommand("iadmin mkresc %s passthru" %
("pt"), 'STDOUT_SINGLELINE', "Creating") # passthru
self.admin.assert_icommand("iadmin mkresc %s replication" %
("replA"), 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixA1", h, "unixA1"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixA2", h, "unixA2"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("pt", "replA"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "unixA1"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "unixA2"))
# second tree standup
self.admin.assert_icommand("iadmin mkresc %s replication" %
("replB"), 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixB1", h, "unixB1"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixB2", h, "unixB2"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replB", "unixB1"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replB", "unixB2"))
# create some files
dir1 = "for_pt"
dir2 = "for_replB"
tree1 = 5
tree2 = 8
doubletree1 = 2 * tree1 # 10
doubletree2 = 2 * tree2 # 16
totaltree = doubletree1 + doubletree2 # 26
lib.create_directory_of_small_files(dir1, tree1)
lib.create_directory_of_small_files(dir2, tree2)
# add files
self.admin.assert_icommand("iput -R %s -r %s" % ("pt", dir1))
self.admin.assert_icommand("iput -R %s -r %s" % ("replB", dir2))
# debugging
self.admin.assert_icommand("ils -L %s" % dir1, 'STDOUT_SINGLELINE', dir1)
self.admin.assert_icommand("ils -L %s" % dir2, 'STDOUT_SINGLELINE', dir2)
# add tree2 to tree1
# add replB to replA
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "replB"))
# debugging
self.admin.assert_icommand("ils -L %s" % dir1, 'STDOUT_SINGLELINE', dir1)
self.admin.assert_icommand("ils -L %s" % dir2, 'STDOUT_SINGLELINE', dir2)
# check object_count on pt
self.admin.assert_icommand("iadmin lr %s" % "pt", 'STDOUT_SINGLELINE', "resc_objcount: %d" % totaltree)
# check object_count and children on replA
self.admin.assert_icommand("iadmin lr %s" % "replA", 'STDOUT_SINGLELINE', "resc_objcount: %d" % totaltree)
self.admin.assert_icommand("iadmin lr %s" % "replA", 'STDOUT_SINGLELINE', "resc_children: %s" % "unixA1{};unixA2{};replB{}")
# check object_count on unixA1
self.admin.assert_icommand("iadmin lr %s" % "unixA1", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree1)
# check object_count on unixA2
self.admin.assert_icommand("iadmin lr %s" % "unixA2", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree1)
# check object_count and parent on replB
self.admin.assert_icommand("iadmin lr %s" % "replB", 'STDOUT_SINGLELINE', "resc_objcount: %d" % doubletree2)
self.admin.assert_icommand("iadmin lr %s" % "replB", 'STDOUT_SINGLELINE', "resc_parent: %s" % "replA")
# check object_count on unixB1
self.admin.assert_icommand("iadmin lr %s" % "unixB1", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree2)
# check object_count on unixB2
self.admin.assert_icommand("iadmin lr %s" % "unixB2", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree2)
# check resc_hier on replB files, should have full hierarchy, and should NOT start with replB
self.admin.assert_icommand("iquest \"select DATA_RESC_HIER where DATA_RESC_HIER like '%s;%%'\"" %
"pt;replA;replB", 'STDOUT_SINGLELINE', "pt")
self.admin.assert_icommand("iquest \"select DATA_RESC_HIER where DATA_RESC_HIER like '%s;%%'\"" %
"replB", 'STDOUT_SINGLELINE', "CAT_NO_ROWS_FOUND")
# check resc_name on replB files
self.admin.assert_icommand("iquest \"select DATA_RESC_NAME where DATA_RESC_HIER like '%s;%%'\"" %
"pt;replA;replB", 'STDOUT_SINGLELINE', "pt")
self.admin.assert_icommand("iquest \"select DATA_RESC_NAME where DATA_RESC_HIER like '%s;%%'\"" %
"replB", 'STDOUT_SINGLELINE', "CAT_NO_ROWS_FOUND")
# remove child
# rm replB from replA
self.admin.assert_icommand("iadmin lr %s" % "replA", 'STDOUT_SINGLELINE', "replB") # debugging
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "replB"))
# check object_count on pt
self.admin.assert_icommand("iadmin lr %s" % "pt", 'STDOUT_SINGLELINE', "resc_objcount: %d" % doubletree1)
# check object_count on replA
self.admin.assert_icommand("iadmin lr %s" % "replA", 'STDOUT_SINGLELINE', "resc_objcount: %d" % doubletree1)
# check object_count on unixA1
self.admin.assert_icommand("iadmin lr %s" % "unixA1", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree1)
# check object_count on unixA2
self.admin.assert_icommand("iadmin lr %s" % "unixA2", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree1)
# check object_count on replB
self.admin.assert_icommand("iadmin lr %s" % "replB", 'STDOUT_SINGLELINE', "resc_objcount: %d" % doubletree2)
# check object_count on unixB1
self.admin.assert_icommand("iadmin lr %s" % "unixB1", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree2)
# check object_count on unixB2
self.admin.assert_icommand("iadmin lr %s" % "unixB2", 'STDOUT_SINGLELINE', "resc_objcount: %d" % tree2)
# check resc_hier on replB files, should start with replB and not have pt anymore
self.admin.assert_icommand("iquest \"select DATA_RESC_HIER where DATA_RESC_HIER like '%s;%%'\"" %
"replB", 'STDOUT_SINGLELINE', "replB")
# check resc_name on replB files
self.admin.assert_icommand("iquest \"select DATA_RESC_NAME where DATA_RESC_HIER like '%s;%%'\"" %
"replB", 'STDOUT_SINGLELINE', "replB")
# delete files
self.admin.assert_icommand("irm -rf %s" % dir1)
self.admin.assert_icommand("irm -rf %s" % dir2)
# local cleanup
shutil.rmtree(dir1)
shutil.rmtree(dir2)
# second tree teardown
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replB", "unixB2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replB", "unixB1"))
self.admin.assert_icommand("iadmin rmresc %s" % "unixB2")
self.admin.assert_icommand("iadmin rmresc %s" % "unixB1")
self.admin.assert_icommand("iadmin rmresc %s" % "replB")
# first tree teardown
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "unixA2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "unixA1"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("pt", "replA"))
self.admin.assert_icommand("iadmin rmresc %s" % "unixA2")
self.admin.assert_icommand("iadmin rmresc %s" % "unixA1")
self.admin.assert_icommand("iadmin rmresc %s" % "replA")
self.admin.assert_icommand("iadmin rmresc %s" % "pt")
def test_create_and_remove_unixfilesystem_resource(self):
testresc1 = "testResc1"
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should not be listed
output = commands.getstatusoutput("hostname")
hostname = output[1]
self.admin.assert_icommand("iadmin mkresc " + testresc1 + " unixfilesystem " +
hostname + ":/tmp/irods/pydevtest_" + testresc1, 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be listed
self.admin.assert_icommand_fail("iadmin rmresc notaresource") # bad remove
self.admin.assert_icommand("iadmin rmresc " + testresc1) # good remove
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be gone
def test_create_and_remove_unixfilesystem_resource_without_spaces(self):
testresc1 = "testResc1"
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should not be listed
output = commands.getstatusoutput("hostname")
hostname = output[1]
self.admin.assert_icommand("iadmin mkresc " + testresc1 + " unixfilesystem " +
hostname + ":/tmp/irods/pydevtest_" + testresc1, 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be listed
self.admin.assert_icommand("iadmin rmresc " + testresc1) # good remove
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be gone
def test_create_and_remove_coordinating_resource(self):
testresc1 = "testResc1"
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should not be listed
output = commands.getstatusoutput("hostname")
hostname = output[1]
self.admin.assert_icommand("iadmin mkresc " + testresc1 + " replication", 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be listed
# should have empty host
self.admin.assert_icommand("iadmin lr " + testresc1, 'STDOUT_SINGLELINE', ["resc_net", "EMPTY_RESC_HOST"])
# should have empty path
self.admin.assert_icommand("iadmin lr " + testresc1, 'STDOUT_SINGLELINE', ["resc_def_path", "EMPTY_RESC_PATH"])
self.admin.assert_icommand("iadmin rmresc " + testresc1) # good remove
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be gone
def test_create_and_remove_coordinating_resource_with_explicit_contextstring(self):
testresc1 = "testResc1"
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should not be listed
output = commands.getstatusoutput("hostname")
hostname = output[1]
self.admin.assert_icommand("iadmin mkresc " + testresc1 +
" replication '' Context:String", 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be listed
# should have empty host
self.admin.assert_icommand("iadmin lr " + testresc1, 'STDOUT_SINGLELINE', ["resc_net", "EMPTY_RESC_HOST"])
# should have empty path
self.admin.assert_icommand("iadmin lr " + testresc1, 'STDOUT_SINGLELINE', ["resc_def_path", "EMPTY_RESC_PATH"])
# should have contextstring
self.admin.assert_icommand("iadmin lr " + testresc1, 'STDOUT_SINGLELINE', ["resc_context", "Context:String"])
self.admin.assert_icommand("iadmin rmresc " + testresc1) # good remove
self.admin.assert_icommand_fail("iadmin lr", 'STDOUT_SINGLELINE', testresc1) # should be gone
def test_modify_resource_comment(self):
mycomment = "thisisacomment with some spaces"
self.admin.assert_icommand_fail("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
self.admin.assert_icommand("iadmin modresc " + self.testresc + " comment '" + mycomment + "'")
self.admin.assert_icommand("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
self.admin.assert_icommand("iadmin modresc " + self.testresc + " comment 'none'")
self.admin.assert_icommand_fail("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
def test_create_and_remove_new_user(self):
testuser1 = "testaddandremoveuser"
# should not be listed
self.admin.assert_icommand_fail("iadmin lu", 'STDOUT_SINGLELINE', [testuser1 + "#" + self.admin.zone_name])
self.admin.assert_icommand("iadmin mkuser " + testuser1 + " rodsuser") # add rodsuser
# should be listed
self.admin.assert_icommand("iadmin lu", 'STDOUT_SINGLELINE', [testuser1 + "#" + self.admin.zone_name])
self.admin.assert_icommand_fail("iadmin rmuser notauser") # bad remove
self.admin.assert_icommand("iadmin rmuser " + testuser1) # good remove
# should be gone
self.admin.assert_icommand_fail("iadmin lu", 'STDOUT_SINGLELINE', [testuser1 + "#" + self.admin.zone_name])
def test_iadmin_mkuser(self):
# A few examples of valid and invalid usernames
valid = ['bo',
'bob',
'jim-bob',
'boB',
'123.456',
'user@email',
'u@e',
'user.@.email',
'___haysoos___']
invalid = ['#',
'.',
'..',
'<bob>',
'________________________________longer_than_NAME_LEN________________________________________________']
# Test valid names
for name in valid:
self.admin.assert_icommand("iadmin mkuser " + name + " rodsuser") # should be accepted
# should be listed
self.admin.assert_icommand("iadmin lu", 'STDOUT_SINGLELINE', [name + "#" + self.admin.zone_name])
self.admin.assert_icommand("iadmin rmuser " + name) # remove user
# should be gone
self.admin.assert_icommand_fail("iadmin lu", 'STDOUT_SINGLELINE', [name + "#" + self.admin.zone_name])
# Test invalid names
for name in invalid:
self.admin.assert_icommand("iadmin mkuser " + name + " rodsuser",
'STDERR_SINGLELINE', "Invalid username format") # should be rejected
# Invalid names with special characters
self.admin.assert_icommand(r"iadmin mkuser hawai\'i rodsuser",
'STDERR_SINGLELINE', "Invalid username format") # should be rejected
self.admin.assert_icommand(r"iadmin mkuser \\\/\!\*\?\|\$ rodsuser",
'STDERR_SINGLELINE', "Invalid username format") # should be rejected
# =-=-=-=-=-=-=-
# REBALANCE
@unittest.skipIf(configuration.TOPOLOGY_FROM_RESOURCE_SERVER, "Skip for topology testing from resource server")
def test_rebalance_for_object_count(self):
# =-=-=-=-=-=-=-
# read server_config.json and .odbc.ini
cfg = ServerConfig()
root_dir = "/tmp/irods/big_dir"
if os.path.exists(root_dir):
shutil.rmtree(root_dir)
os.makedirs(root_dir)
for i in range(30):
path = root_dir + "/rebalance_testfile_" + str(i)
output = commands.getstatusoutput('dd if=/dev/zero of=' + path + ' bs=1M count=1')
print output[1]
assert output[0] == 0, "dd did not successfully exit"
# get initial object count
initial_output = self.admin.run_icommand('iadmin lr demoResc')[1]
objcount_line = initial_output.splitlines()[-1]
initial_objcount = int(objcount_line.split(":")[-1].strip())
print "initial: " + str(initial_objcount)
# put the new files
self.admin.assert_icommand("iput -r " + root_dir)
# =-=-=-=-=-=-=-
# drop several rows from the R_DATA_MAIN table to jkjjq:q
cfg.exec_sql_cmd("delete from R_DATA_MAIN where data_name like 'rebalance_testfile_1%'")
# rebalance
self.admin.assert_icommand("iadmin modresc demoResc rebalance")
# expected object count
expected_objcount = initial_objcount + 19
# 19 = 30 initial - 11 (1 and 10 through 19) deleted files
print "expected: " + str(expected_objcount)
self.admin.assert_icommand("iadmin lr demoResc", 'STDOUT_SINGLELINE', "resc_objcount: " + str(expected_objcount))
def test_rebalance_for_repl_node(self):
output = commands.getstatusoutput("hostname")
hostname = output[1]
# =-=-=-=-=-=-=-
# STANDUP
self.admin.assert_icommand("iadmin mkresc pt passthru", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc pt_b passthru", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc pt_c1 passthru", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc pt_c2 passthru", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc repl replication", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc leaf_a unixfilesystem " + hostname +
":/tmp/irods/pydevtest_leaf_a", 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc leaf_b unixfilesystem " + hostname +
":/tmp/irods/pydevtest_leaf_b", 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc leaf_c unixfilesystem " + hostname +
":/tmp/irods/pydevtest_leaf_c", 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc pt repl")
self.admin.assert_icommand("iadmin addchildtoresc repl leaf_a")
self.admin.assert_icommand("iadmin addchildtoresc repl pt_b")
self.admin.assert_icommand("iadmin addchildtoresc repl pt_c1")
self.admin.assert_icommand("iadmin addchildtoresc pt_b leaf_b")
self.admin.assert_icommand("iadmin addchildtoresc pt_c1 pt_c2")
self.admin.assert_icommand("iadmin addchildtoresc pt_c2 leaf_c")
# =-=-=-=-=-=-=-
# place data into the resource
test_file = "iput_test_file"
lib.make_file(test_file, 10)
num_children = 11
for i in range(num_children):
self.admin.assert_icommand("iput -R pt %s foo%d" % (test_file, i))
# =-=-=-=-=-=-=-
# surgically trim repls so we can rebalance
self.admin.assert_icommand("itrim -N1 -n 0 foo0 foo3 foo5 foo6 foo7 foo8")
self.admin.assert_icommand("itrim -N1 -n 1 foo1 foo3 foo4 foo9")
self.admin.assert_icommand("itrim -N1 -n 2 foo2 foo4 foo5")
# =-=-=-=-=-=-=-
# visualize our pruning
self.admin.assert_icommand("ils -AL", 'STDOUT_SINGLELINE', "foo")
# =-=-=-=-=-=-=-
# call rebalance function - the thing were actually testing... finally.
self.admin.assert_icommand("iadmin modresc pt rebalance")
# =-=-=-=-=-=-=-
# assert that all the appropriate repl numbers exist for all the children
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 1 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 2 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 3 ", " foo0"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 0 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 2 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 3 ", " foo1"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 0 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 1 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 2 ", " foo2"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 2 ", " foo3"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 3 ", " foo3"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 4 ", " foo3"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 0 ", " foo4"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 1 ", " foo4"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 2 ", " foo4"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 1 ", " foo5"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 2 ", " foo5"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 3 ", " foo5"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 1 ", " foo6"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 2 ", " foo6"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 3 ", " foo6"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 1 ", " foo7"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 2 ", " foo7"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 3 ", " foo7"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 1 ", " foo8"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 2 ", " foo8"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 3 ", " foo8"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 0 ", " foo9"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 2 ", " foo9"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 3 ", " foo9"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 0 ", " foo10"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 1 ", " foo10"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 2 ", " foo10"])
# =-=-=-=-=-=-=-
# TEARDOWN
for i in range(num_children):
self.admin.assert_icommand("irm -f foo%d" % i)
self.admin.assert_icommand("iadmin rmchildfromresc pt_c2 leaf_c")
self.admin.assert_icommand("iadmin rmchildfromresc repl leaf_a")
self.admin.assert_icommand("iadmin rmchildfromresc pt_b leaf_b")
self.admin.assert_icommand("iadmin rmchildfromresc pt_c1 pt_c2")
self.admin.assert_icommand("iadmin rmchildfromresc repl pt_c1")
self.admin.assert_icommand("iadmin rmchildfromresc repl pt_b")
self.admin.assert_icommand("iadmin rmchildfromresc pt repl")
self.admin.assert_icommand("iadmin rmresc leaf_c")
self.admin.assert_icommand("iadmin rmresc leaf_b")
self.admin.assert_icommand("iadmin rmresc leaf_a")
self.admin.assert_icommand("iadmin rmresc pt_c2")
self.admin.assert_icommand("iadmin rmresc pt_c1")
self.admin.assert_icommand("iadmin rmresc pt_b")
self.admin.assert_icommand("iadmin rmresc repl")
self.admin.assert_icommand("iadmin rmresc pt")
def test_rebalance_for_repl_in_repl_node(self):
output = commands.getstatusoutput("hostname")
# =-=-=-=-=-=-=-
# STANDUP
h = lib.get_hostname()
# first tree standup
self.admin.assert_icommand("iadmin mkresc %s passthru %s:/tmp/irods/pydevtest_%s" %
("pt", h, "pt"), 'STDOUT_SINGLELINE', "Creating") # passthru
self.admin.assert_icommand("iadmin mkresc %s replication %s:/tmp/irods/pydevtest_%s" %
("replA", h, "replA"), 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixA1", h, "unixA1"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixA2", h, "unixA2"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("pt", "replA"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "unixA1"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "unixA2"))
# second tree standup
self.admin.assert_icommand("iadmin mkresc %s replication %s:/tmp/irods/pydevtest_%s" %
("replB", h, "replB"), 'STDOUT_SINGLELINE', "Creating") # replication
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixB1", h, "unixB1"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc %s unixfilesystem %s:/tmp/irods/pydevtest_%s" %
("unixB2", h, "unixB2"), 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replB", "unixB1"))
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replB", "unixB2"))
# wire the repls together
self.admin.assert_icommand("iadmin addchildtoresc %s %s" % ("replA", "replB"))
# =-=-=-=-=-=-=-
# place data into the resource
test_file = "iput_test_file"
lib.make_file(test_file, 10)
num_children = 11
for i in range(num_children):
self.admin.assert_icommand("iput -R pt %s foo%d" % (test_file, i))
# =-=-=-=-=-=-=-
# visualize our replication
self.admin.assert_icommand("ils -AL", 'STDOUT_SINGLELINE', "foo")
# =-=-=-=-=-=-=-
# surgically trim repls so we can rebalance
self.admin.assert_icommand("itrim -N1 -n 0 foo0 foo3 foo5 foo6 foo7 foo8")
self.admin.assert_icommand("itrim -N1 -n 1 foo1 foo3 foo4 foo9")
self.admin.assert_icommand("itrim -N1 -n 2 foo2 foo4 foo5")
# =-=-=-=-=-=-=-
# dirty up a foo10 repl to ensure that code path is tested also
self.admin.assert_icommand("iadmin modresc unixA2 status down")
self.admin.assert_icommand("iput -fR pt test_all_rules.py foo10")
self.admin.assert_icommand("iadmin modresc unixA2 status up")
# =-=-=-=-=-=-=-
# visualize our pruning
self.admin.assert_icommand("ils -AL", 'STDOUT_SINGLELINE', "foo")
# =-=-=-=-=-=-=-
# call rebalance function - the thing were actually testing... finally.
self.admin.assert_icommand("iadmin modresc pt rebalance")
# =-=-=-=-=-=-=-
# visualize our rebalance
self.admin.assert_icommand("ils -AL", 'STDOUT_SINGLELINE', "foo")
# =-=-=-=-=-=-=-
# assert that all the appropriate repl numbers exist for all the children
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 1 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 2 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 3 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 4 ", " foo0"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 0 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 2 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 3 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 4 ", " foo1"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 0 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 1 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 3 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 4 ", " foo2"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 2 ", " foo3"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 3 ", " foo3"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 4 ", " foo3"])
self.admin.assert_icommand("ils -AL foo3", 'STDOUT_SINGLELINE', [" 5 ", " foo3"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 0 ", " foo4"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 3 ", " foo4"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 4 ", " foo4"])
self.admin.assert_icommand("ils -AL foo4", 'STDOUT_SINGLELINE', [" 5 ", " foo4"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 1 ", " foo5"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 3 ", " foo5"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 4 ", " foo5"])
self.admin.assert_icommand("ils -AL foo5", 'STDOUT_SINGLELINE', [" 5 ", " foo5"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 1 ", " foo6"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 2 ", " foo6"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 3 ", " foo6"])
self.admin.assert_icommand("ils -AL foo6", 'STDOUT_SINGLELINE', [" 4 ", " foo6"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 1 ", " foo7"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 2 ", " foo7"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 3 ", " foo7"])
self.admin.assert_icommand("ils -AL foo7", 'STDOUT_SINGLELINE', [" 4 ", " foo7"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 1 ", " foo8"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 2 ", " foo8"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 3 ", " foo8"])
self.admin.assert_icommand("ils -AL foo8", 'STDOUT_SINGLELINE', [" 4 ", " foo8"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 0 ", " foo9"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 2 ", " foo9"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 3 ", " foo9"])
self.admin.assert_icommand("ils -AL foo9", 'STDOUT_SINGLELINE', [" 4 ", " foo9"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 0 ", " & ", " foo10"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 1 ", " & ", " foo10"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 2 ", " & ", " foo10"])
self.admin.assert_icommand("ils -AL foo10", 'STDOUT_SINGLELINE', [" 3 ", " & ", " foo10"])
# =-=-=-=-=-=-=-
# TEARDOWN
for i in range(num_children):
self.admin.assert_icommand("irm -f foo%d" % i)
# unwire repl nods
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "replB"))
# second tree teardown
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replB", "unixB2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replB", "unixB1"))
self.admin.assert_icommand("iadmin rmresc %s" % "unixB2")
self.admin.assert_icommand("iadmin rmresc %s" % "unixB1")
self.admin.assert_icommand("iadmin rmresc %s" % "replB")
# first tree teardown
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "unixA2"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("replA", "unixA1"))
self.admin.assert_icommand("iadmin rmchildfromresc %s %s" % ("pt", "replA"))
self.admin.assert_icommand("iadmin rmresc %s" % "unixA2")
self.admin.assert_icommand("iadmin rmresc %s" % "unixA1")
self.admin.assert_icommand("iadmin rmresc %s" % "replA")
self.admin.assert_icommand("iadmin rmresc %s" % "pt")
def test_iexecmd(self):
test_file = "iput_test_file"
lib.make_file(test_file, 10)
self.admin.assert_icommand("iput %s foo" % test_file)
self.admin.assert_icommand(['iexecmd', '-p', self.admin.session_collection + '/foo', 'hello'], 'STDOUT_SINGLELINE', "Hello world from irods")
self.admin.assert_icommand("irm -f foo")
def test_ibun(self):
test_file = "ibun_test_file"
lib.make_file(test_file, 1000)
cmd = "tar cf somefile.tar " + test_file
output = commands.getstatusoutput(cmd)
tar_path = self.admin.session_collection + '/somefile.tar'
dir_path = self.admin.session_collection + '/somedir'
self.admin.assert_icommand("iput somefile.tar")
self.admin.assert_icommand("imkdir " + dir_path)
self.admin.assert_icommand("iput %s %s/foo0" % (test_file, dir_path))
self.admin.assert_icommand("iput %s %s/foo1" % (test_file, dir_path))
self.admin.assert_icommand("ibun -cD tar " + tar_path + " " +
dir_path, 'STDERR_SINGLELINE', "OVERWRITE_WITHOUT_FORCE_FLAG")
self.admin.assert_icommand("irm -rf " + dir_path)
self.admin.assert_icommand("irm -rf " + tar_path)
def test_rebalance_for_repl_node_with_different_users(self):
output = commands.getstatusoutput("hostname")
hostname = output[1]
# =-=-=-=-=-=-=-
# STANDUP
self.admin.assert_icommand("iadmin mkresc repl replication", 'STDOUT_SINGLELINE', "Creating")
self.admin.assert_icommand("iadmin mkresc leaf_a unixfilesystem " + hostname +
":/tmp/irods/pydevtest_leaf_a", 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin mkresc leaf_b unixfilesystem " + hostname +
":/tmp/irods/pydevtest_leaf_b", 'STDOUT_SINGLELINE', "Creating") # unix
self.admin.assert_icommand("iadmin addchildtoresc repl leaf_a")
self.admin.assert_icommand("iadmin addchildtoresc repl leaf_b")
# =-=-=-=-=-=-=-
# place data into the resource
test_file = "rebalance_test_file"
lib.make_file(test_file, 100)
num_children = 3
for i in range(num_children):
self.admin.assert_icommand("iput -R repl %s foo%d" % (test_file, i))
self.user0.assert_icommand("iput -R repl %s bar%d" % (test_file, i))
# =-=-=-=-=-=-=-
# surgically trim repls so we can rebalance
self.admin.assert_icommand("itrim -N1 -n 0 foo1")
self.user0.assert_icommand("itrim -N1 -n 0 bar0")
# =-=-=-=-=-=-=-
# dirty up a foo10 repl to ensure that code path is tested also
self.admin.assert_icommand("iadmin modresc leaf_a status down")
self.user0.assert_icommand("iput -fR repl test_all_rules.py bar2")
self.admin.assert_icommand("iadmin modresc leaf_a status up")
# =-=-=-=-=-=-=-
# visualize our pruning and dirtying
self.admin.assert_icommand("ils -ALr /", 'STDOUT_SINGLELINE', self.admin.username)
# =-=-=-=-=-=-=-
# call rebalance function - the thing were actually testing... finally.
self.admin.assert_icommand("iadmin modresc repl rebalance")
# =-=-=-=-=-=-=-
# visualize our rebalance
self.admin.assert_icommand("ils -ALr /", 'STDOUT_SINGLELINE', self.admin.username)
# =-=-=-=-=-=-=-
# assert that all the appropriate repl numbers exist for all the children
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 0 ", " foo0"])
self.admin.assert_icommand("ils -AL foo0", 'STDOUT_SINGLELINE', [" 1 ", " foo0"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 1 ", " foo1"])
self.admin.assert_icommand("ils -AL foo1", 'STDOUT_SINGLELINE', [" 2 ", " foo1"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 0 ", " foo2"])
self.admin.assert_icommand("ils -AL foo2", 'STDOUT_SINGLELINE', [" 1 ", " foo2"])
self.user0.assert_icommand("ils -AL bar0", 'STDOUT_SINGLELINE', [" 1 ", " bar0"])
self.user0.assert_icommand("ils -AL bar0", 'STDOUT_SINGLELINE', [" 2 ", " bar0"])
self.user0.assert_icommand("ils -AL bar1", 'STDOUT_SINGLELINE', [" 0 ", " bar1"])
self.user0.assert_icommand("ils -AL bar1", 'STDOUT_SINGLELINE', [" 1 ", " bar1"])
self.user0.assert_icommand("ils -AL bar2", 'STDOUT_SINGLELINE', [" 0 ", " bar2"])
self.user0.assert_icommand("ils -AL bar2", 'STDOUT_SINGLELINE', [" 1 ", " bar2"])
# =-=-=-=-=-=-=-
# TEARDOWN
for i in range(num_children):
self.admin.assert_icommand("irm -f foo%d" % i)
self.user0.assert_icommand("irm -f bar%d" % i)
self.admin.assert_icommand("iadmin rmchildfromresc repl leaf_b")
self.admin.assert_icommand("iadmin rmchildfromresc repl leaf_a")
self.admin.assert_icommand("iadmin rmresc leaf_b")
self.admin.assert_icommand("iadmin rmresc leaf_a")
self.admin.assert_icommand("iadmin rmresc repl")
def test_rule_engine_2242(self):
self.admin.assert_icommand_fail("irule -F rule1_2242.r", 'STDOUT_SINGLELINE', "failmsg")
self.admin.assert_icommand("irule -F rule2_2242.r", "EMPTY")
def test_hosts_config(self):
addy1 = {}
addy1['address'] = socket.gethostname()
addy2 = {}
addy2['address'] = 'jimbo'
addresses = [addy1, addy2]
remote = {}
remote['address_type'] = 'local'
remote['addresses'] = addresses
cfg = {}
cfg['host_entries'] = [remote]
hosts_config = ''
if os.path.isfile('/etc/irods/hosts_config.json'):
hosts_config = '/etc/irods/hosts_config.json'
else:
hosts_config = os.path.join(lib.get_irods_config_dir(), 'hosts_config.json')
orig_file = hosts_config + '.orig'
os.system('cp %s %s' % (hosts_config, orig_file))
with open(hosts_config, 'w') as f:
json.dump(
cfg,
f,
sort_keys=True,
indent=4,
ensure_ascii=False)
hostuser = getpass.getuser()
temp_file = 'file_to_test_hosts_config'
lib.make_file(temp_file, 10)
self.admin.assert_icommand("iadmin mkresc jimboResc unixfilesystem jimbo:/tmp/%s/jimboResc" %
hostuser, 'STDOUT_SINGLELINE', "jimbo")
self.admin.assert_icommand("iput -R jimboResc " + temp_file + " jimbofile")
self.admin.assert_icommand("irm -f jimbofile")
self.admin.assert_icommand("iadmin rmresc jimboResc")
os.system('mv %s %s' % (orig_file, hosts_config))
def test_host_access_control(self):
my_ip = socket.gethostbyname(socket.gethostname())
# manipulate the core.re to enable host access control
corefile = lib.get_core_re_dir() + "/core.re"
origcorefile = corefile + '.orig'
backupcorefile = corefile + "--" + self._testMethodName
shutil.copy(corefile, backupcorefile)
part1 = "sed -e '/^acChkHostAccessControl { }/i acChkHostAccessControl { msiCheckHostAccessControl; }' "
part2 = part1 + corefile + ' > ' + origcorefile
os.system(part2)
time.sleep(1) # remove once file hash fix is commited #2279
os.system("cp " + origcorefile + " " + corefile)
time.sleep(1) # remove once file hash fix is commited #2279
# restart the server to reread the new core.re
lib.restart_irods_server()
host_access_control = ''
if os.path.isfile('/etc/irods/host_access_control_config.json'):
host_access_control = '/etc/irods/host_access_control_config.json'
else:
host_access_control = os.path.join(lib.get_irods_config_dir(), 'host_access_control_config.json')
orig_file = host_access_control + '.orig'
os.system('cp %s %s' % (host_access_control, orig_file))
write_host_access_control(host_access_control, 'nope', 'nope', '', '')
self.admin.assert_icommand_fail("ils", 'STDERR_SINGLELINE', "SYS_AGENT_INIT_ERR")
write_host_access_control(host_access_control, 'all', 'all', my_ip, '255.255.255.255')
self.admin.assert_icommand("ils", 'STDOUT_SINGLELINE', self.admin.zone_name)
# restore the original host_access_control.json
os.system('mv %s %s' % (orig_file, host_access_control))
# restore the original core.re
shutil.copy(backupcorefile, corefile)
os.remove(backupcorefile)
def test_issue_2420(self):
# manipulate the core.re to enable host access control
corefile = lib.get_core_re_dir() + "/core.re"
origcorefile = corefile + '.orig'
backupcorefile = corefile + "--" + self._testMethodName
shutil.copy(corefile, backupcorefile)
part1 = "sed -e '/^acAclPolicy {msiAclPolicy(\"STRICT\"); }/iacAclPolicy {ON($userNameClient == \"quickshare\") { } }' "
part2 = part1 + corefile + ' > ' + origcorefile
os.system(part2)
time.sleep(1) # remove once file hash fix is commited #2279
os.system("cp " + origcorefile + " " + corefile)
time.sleep(1) # remove once file hash fix is commited #2279
# restart the server to reread the new core.re
lib.restart_irods_server()
self.admin.assert_icommand("ils", 'STDOUT_SINGLELINE', self.admin.zone_name)
# look for the error "unable to read session variable $userNameClient."
p = subprocess.Popen(
['grep "unable to read session variable $userNameClient." ../../iRODS/server/log/rodsLog.*'], shell=True, stdout=subprocess.PIPE)
result = p.communicate()[0]
# restore the original core.re
shutil.copy(backupcorefile, corefile)
os.remove(backupcorefile)
# check the results for the error
assert(-1 == result.find("userNameClient"))
def test_server_config_environment_variables(self):
# set log level to get all the things
env = os.environ.copy()
env['spLogLevel'] = '11'
server_config_filename = lib.get_irods_config_dir() + "/server_config.json"
with lib.file_backed_up(server_config_filename):
# set a random environment value to find in the log
with open(server_config_filename) as f:
server_config = json.load(f)
the_value = 'THIS_IS_THE_VALUE'
server_config['environment_variables']['foo_bar'] = the_value
lib.update_json_file_from_dict(server_config_filename, server_config)
# bounce the server to get the new env variable
lib.restart_irods_server(env=env)
self.admin.assert_icommand('ils', 'STDOUT_SINGLELINE', self.admin.zone_name)
# look for the error "unable to read session variable $userNameClient."
_, out, _ = lib.run_command('grep "{0}" ../../iRODS/server/log/rodsLog.*'.format(the_value), use_unsafe_shell=True)
lib.restart_irods_server()
assert the_value in out
def test_set_resource_comment_to_emptystring_ticket_2434(self):
mycomment = "notemptystring"
self.admin.assert_icommand_fail("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
self.admin.assert_icommand("iadmin modresc " + self.testresc + " comment '" + mycomment + "'")
self.admin.assert_icommand("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
self.admin.assert_icommand("iadmin modresc " + self.testresc + " comment ''")
self.admin.assert_icommand_fail("iadmin lr " + self.testresc, 'STDOUT_SINGLELINE', mycomment)
def test_irmtrash_admin_2461(self):
# 'irmtrash -M' was not deleting the r_objt_metamap entries for collections it was deleting
# leading to orphaned avu's that 'iadmin rum' could never remove
collection_basename = sys._getframe().f_code.co_name
self.admin.assert_icommand('imkdir {collection_basename}'.format(**vars()))
file_basename = 'dummy_file_to_trigger_recursive_rm'
lib.make_file(file_basename, 10)
file_irods_path = os.path.join(collection_basename, file_basename)
self.admin.assert_icommand('iput {file_basename} {file_irods_path}'.format(**vars()))
a, v, u = ('attribute_' + collection_basename, 'value_' + collection_basename, 'unit_' + collection_basename)
self.admin.assert_icommand('imeta add -C {collection_basename} {a} {v} {u}'.format(**vars()))
self.admin.assert_icommand('imeta ls -C {collection_basename}'.format(**vars()), 'STDOUT_MULTILINE', [a, v, u])
self.admin.assert_icommand('irm -r {collection_basename}'.format(**vars()))
self.admin.assert_icommand('irmtrash -M')
self.admin.assert_icommand('iadmin rum')
self.admin.assert_icommand_fail('''iquest "select META_DATA_ATTR_NAME where META_DATA_ATTR_NAME = '{a}'"'''.format(**vars()), 'STDOUT_SINGLELINE', a)
def test_msiset_default_resc__2712(self):
hostname = lib.get_hostname()
testresc1 = 'pydevtest_TestResc'
corefile = lib.get_core_re_dir() + "/core.re"
with lib.file_backed_up(corefile):
initial_size_of_server_log = lib.get_log_size('server')
rules_to_prepend = 'acSetRescSchemeForCreate{ msiSetDefaultResc("' + testresc1 + '","forced"); }\n'
time.sleep(2) # remove once file hash fix is commited #2279
lib.prepend_string_to_file(rules_to_prepend, corefile)
time.sleep(2) # remove once file hash fix is commited #2279
trigger_file = 'file_to_trigger_acSetRescSchemeForCreate'
lib.make_file(trigger_file, 10)
self.user0.assert_icommand(['iput', trigger_file])
self.user0.assert_icommand(['ils', '-L', trigger_file], 'STDOUT_SINGLELINE', testresc1)
os.unlink(trigger_file)
self.user0.assert_icommand('irm -f ' + trigger_file)
time.sleep(2) # remove once file hash fix is commited #2279
@unittest.skipIf(configuration.TOPOLOGY_FROM_RESOURCE_SERVER, 'Skip for topology testing from resource server: reads re server log')
def test_rule_engine_2309(self):
corefile = lib.get_core_re_dir() + "/core.re"
coredvm = lib.get_core_re_dir() + "/core.dvm"
with lib.file_backed_up(coredvm):
lib.prepend_string_to_file('oprType||rei->doinp->oprType\n', coredvm)
with lib.file_backed_up(corefile):
initial_size_of_server_log = lib.get_log_size('server')
rules_to_prepend = '''
acSetNumThreads() {
writeLine("serverLog","test_rule_engine_2309: put: acSetNumThreads oprType [$oprType]");
}
'''
time.sleep(1) # remove once file hash fix is commited #2279
lib.prepend_string_to_file(rules_to_prepend, corefile)
time.sleep(1) # remove once file hash fix is commited #2279
trigger_file = 'file_to_trigger_acSetNumThreads'
lib.make_file(trigger_file, 4 * pow(10, 7))
self.admin.assert_icommand('iput {0}'.format(trigger_file))
assert 1 == lib.count_occurrences_of_string_in_log(
'server', 'writeLine: inString = test_rule_engine_2309: put: acSetNumThreads oprType [1]', start_index=initial_size_of_server_log)
assert 0 == lib.count_occurrences_of_string_in_log('server', 'RE_UNABLE_TO_READ_SESSION_VAR', start_index=initial_size_of_server_log)
os.unlink(trigger_file)
with lib.file_backed_up(corefile):
initial_size_of_server_log = lib.get_log_size('server')
rules_to_prepend = '''
acSetNumThreads() {
writeLine("serverLog","test_rule_engine_2309: get: acSetNumThreads oprType [$oprType]");
}
'''
time.sleep(1) # remove once file hash fix is commited #2279
lib.prepend_string_to_file(rules_to_prepend, corefile)
time.sleep(1) # remove once file hash fix is commited #2279
self.admin.assert_icommand('iget {0}'.format(trigger_file), use_unsafe_shell=True)
assert 1 == lib.count_occurrences_of_string_in_log(
'server', 'writeLine: inString = test_rule_engine_2309: get: acSetNumThreads oprType [2]', start_index=initial_size_of_server_log)
assert 0 == lib.count_occurrences_of_string_in_log('server', 'RE_UNABLE_TO_READ_SESSION_VAR', start_index=initial_size_of_server_log)
os.unlink(trigger_file)
def test_storageadmin_role(self):
self.admin.assert_icommand_fail("iadmin mkuser nopes storageadmin", 'STDOUT_SINGLELINE', "CAT_INVALID_USER_TYPE")
def test_domainadmin_role(self):
self.admin.assert_icommand_fail("iadmin mkuser nopes domainadmin", 'STDOUT_SINGLELINE', "CAT_INVALID_USER_TYPE")
def test_rodscurators_role(self):
self.admin.assert_icommand_fail("iadmin mkuser nopes rodscurators", 'STDOUT_SINGLELINE', "CAT_INVALID_USER_TYPE")
def test_izonereport_key_sanitization(self):
self.admin.assert_icommand("izonereport | grep key | grep -v XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", 'STDOUT_SINGLELINE', '"irods_encryption_key_size": 32,', use_unsafe_shell=True)
| 55.544434
| 187
| 0.635078
| 6,949
| 59,377
| 5.205497
| 0.088214
| 0.097531
| 0.155088
| 0.237802
| 0.800708
| 0.765239
| 0.730103
| 0.693003
| 0.653747
| 0.604843
| 0
| 0.017376
| 0.229466
| 59,377
| 1,068
| 188
| 55.596442
| 0.773256
| 0.088974
| 0
| 0.442799
| 0
| 0
| 0.331048
| 0.037421
| 0
| 0
| 0
| 0
| 0.531629
| 0
| null | null | 0.024226
| 0.02288
| null | null | 0.004038
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
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| null | 0
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|
0
| 7
|
82aec7ae287d519e029daad2c3ce9af4409d15e8
| 5,378
|
py
|
Python
|
acs_etl/load.py
|
cywujeremy/etl_demo
|
3e0ce84836ef4db0fd672d453909c3bcc163b05a
|
[
"Apache-2.0"
] | null | null | null |
acs_etl/load.py
|
cywujeremy/etl_demo
|
3e0ce84836ef4db0fd672d453909c3bcc163b05a
|
[
"Apache-2.0"
] | null | null | null |
acs_etl/load.py
|
cywujeremy/etl_demo
|
3e0ce84836ef4db0fd672d453909c3bcc163b05a
|
[
"Apache-2.0"
] | null | null | null |
# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/01_load.ipynb (unless otherwise specified).
__all__ = ['database_connector', 'series_to_tuple_like_string', 'ACS_Blockgroup_Data_Loader', 'database_connector',
'series_to_tuple_like_string', 'ACS_Blockgroup_Data_Loader']
# Cell
import os
os.chdir('../')
os.getcwd()
# Cell
from nbdev.showdoc import *
from .acs import ACS_Blockgroup_Data_Pull
import numpy as np
import pandas as pd
import psycopg2
import re
# Cell
def database_connector(func):
def with_connection(*args, **kwargs):
conn = psycopg2.connect(
host='acs-db.mlpolicylab.dssg.io',
database='acs_data_loading',
user='mlpp_student',
password='CARE-horse-most')
cur = conn.cursor()
try:
func(*args, cur, **kwargs)
conn.commit()
except Exception as e:
print(e)
finally:
cur.close()
conn.close()
return with_connection
# Cell
def series_to_tuple_like_string(series):
'''Transform a pandas series into a tuple-like string to fit in SQL queries.
'''
string = '('
for item in series:
if not re.match(r'^[0-9]+$', str(item)):
string = string + "'" + str(item) + "'" + ','
else:
string = string + str(item) + ','
string = string.strip(',') + ')'
return string
# Cell
class ACS_Blockgroup_Data_Loader:
def __init__(self, df, db_dict, schema, table):
self.df: pd.DataFrame = df
self.db_dict: dict = db_dict
self.schema: str = schema
self.table: str = table
self.host = db_dict['host']
self.database = db_dict['database']
self.user = db_dict['user']
self.password = db_dict['password']
@database_connector
def create_table(self, cur):
'''Create a table with the specified name.
'''
cur.execute(f"CREATE TABLE acs.{self.table} (\
state_id INTEGER,\
state VARCHAR(4),\
county_id INTEGER,\
county VARCHAR(40),\
blockgroup INTEGER,\
tract INTEGER,\
total_population NUMERIC,\
median_age NUMERIC,\
per_capita_income NUMERIC,\
median_rent_to_household_income NUMERIC,\
avg_household_size NUMERIC,\
NAME VARCHAR(100)\
)")
@database_connector
def insert_data(self, cur):
'''Insert rows in df into the specified table.
'''
for i, row in self.df.iterrows():
row_string = series_to_tuple_like_string(row)
cur.execute(f"INSERT INTO acs.{self.table} VALUES {row_string}")
# Cell
import os
os.chdir('../')
os.getcwd()
# Cell
from nbdev.showdoc import *
from .acs import ACS_Blockgroup_Data_Pull
import numpy as np
import pandas as pd
import psycopg2
import re
# Cell
def database_connector(func):
def with_connection(*args, **kwargs):
conn = psycopg2.connect(
host='acs-db.mlpolicylab.dssg.io',
database='acs_data_loading',
user='mlpp_student',
password='CARE-horse-most')
cur = conn.cursor()
try:
func(*args, cur, **kwargs)
conn.commit()
except Exception as e:
print(e)
finally:
cur.close()
conn.close()
return with_connection
# Cell
def series_to_tuple_like_string(series):
'''Transform a pandas series into a tuple-like string to fit in SQL queries.
'''
string = '('
for item in series:
if not re.match(r'^[0-9]+$', str(item)):
string = string + "'" + str(item) + "'" + ','
else:
string = string + str(item) + ','
string = string.strip(',') + ')'
return string
# Cell
class ACS_Blockgroup_Data_Loader:
def __init__(self, df, db_dict, schema, table):
self.df: pd.DataFrame = df
self.db_dict: dict = db_dict
self.schema: str = schema
self.table: str = table
self.host = db_dict['host']
self.database = db_dict['database']
self.user = db_dict['user']
self.password = db_dict['password']
@database_connector
def create_table(self, cur):
'''Create a table with the specified name.
'''
cur.execute(f"CREATE TABLE acs.{self.table} (\
state_id INTEGER,\
state VARCHAR(4),\
county_id INTEGER,\
county VARCHAR(40),\
blockgroup INTEGER,\
tract INTEGER,\
total_population NUMERIC,\
median_age NUMERIC,\
per_capita_income NUMERIC,\
median_rent_to_household_income NUMERIC,\
avg_household_size NUMERIC,\
NAME VARCHAR(100)\
)")
@database_connector
def insert_data(self, cur):
'''Insert rows in df into the specified table.
'''
for i, row in self.df.iterrows():
row_string = series_to_tuple_like_string(row)
cur.execute(f"INSERT INTO acs.{self.table} VALUES {row_string}")
| 28.606383
| 115
| 0.5582
| 617
| 5,378
| 4.672609
| 0.209076
| 0.029136
| 0.041623
| 0.03538
| 0.974679
| 0.974679
| 0.974679
| 0.974679
| 0.974679
| 0.974679
| 0
| 0.00614
| 0.333767
| 5,378
| 187
| 116
| 28.759358
| 0.798493
| 0.093343
| 0
| 0.985075
| 1
| 0
| 0.09514
| 0.032678
| 0
| 0
| 0
| 0
| 0
| 1
| 0.089552
| false
| 0.029851
| 0.104478
| 0
| 0.238806
| 0.014925
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
82d8db67579882611bff962ef171a5904cc2afdc
| 40,327
|
py
|
Python
|
tests/test_sklearn_api_classification_binary.py
|
Trevor-Waite/vecstack
|
e9185909e8ece6500139e0f4305635fc1fc9fb50
|
[
"MIT"
] | 693
|
2016-11-24T13:07:52.000Z
|
2022-03-24T16:30:07.000Z
|
tests/test_sklearn_api_classification_binary.py
|
Trevor-Waite/vecstack
|
e9185909e8ece6500139e0f4305635fc1fc9fb50
|
[
"MIT"
] | 44
|
2017-09-14T15:53:09.000Z
|
2021-11-03T11:35:06.000Z
|
tests/test_sklearn_api_classification_binary.py
|
Trevor-Waite/vecstack
|
e9185909e8ece6500139e0f4305635fc1fc9fb50
|
[
"MIT"
] | 94
|
2016-11-25T10:15:20.000Z
|
2022-02-27T10:13:24.000Z
|
# -----------------------------------------------------------------------------
# Exactly the same as multiclass but ``n_classes=2``
# and class name is ``TestSklearnClassificationBinary``
# -----------------------------------------------------------------------------
# !!! cross_val_predict uses stratified split
# -----------------------------------------------------------------------------
# Main concept for testing returned arrays:
# 1). create ground truth e.g. with cross_val_predict
# 2). run vecstack
# 3). compare returned arrays with ground truth
# -----------------------------------------------------------------------------
from __future__ import print_function
from __future__ import division
import unittest
from numpy.testing import assert_array_equal
# from numpy.testing import assert_allclose
from numpy.testing import assert_equal
# import os
# import glob
import numpy as np
import scipy.stats as st
from sklearn.model_selection import cross_val_predict
from sklearn.model_selection import cross_val_score
# from sklearn.model_selection import train_test_split
# from sklearn.model_selection import KFold
from sklearn.model_selection import StratifiedKFold
from sklearn.datasets import make_classification
from sklearn.preprocessing import OneHotEncoder
from sklearn.metrics import accuracy_score
from sklearn.metrics import zero_one_loss
from sklearn.metrics import log_loss
from sklearn.metrics import roc_auc_score
from sklearn.metrics import make_scorer
from sklearn.linear_model import LogisticRegression
from sklearn.naive_bayes import GaussianNB
from sklearn.dummy import DummyClassifier
from vecstack import StackingTransformer
n_classes = 2
n_folds = 5
# temp_dir = 'tmpdw35lg54ms80eb42'
X, y = make_classification(n_samples=500, n_features=5,
n_informative=3, n_redundant=1,
n_classes=n_classes, flip_y=0,
random_state=0)
# X_train, X_test, y_train, y_test = train_test_split(X, y,
# test_size=0.2,
# random_state=0)
# Make train/test split by hand to avoid strange errors probably related to testing suit:
# https://github.com/scikit-learn/scikit-learn/issues/1684
# https://github.com/scikit-learn/scikit-learn/issues/1704
# Note: Python 2.7, 3.4 - OK, but 3.5, 3.6 - error
np.random.seed(0)
ind = np.arange(500)
np.random.shuffle(ind)
ind_train = ind[:400]
ind_test = ind[400:]
X_train = X[ind_train]
X_test = X[ind_test]
y_train = y[ind_train]
y_test = y[ind_test]
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
def roc_auc_score_universal(y_true, y_pred):
"""ROC AUC metric for both binary and multiclass classification.
Parameters
----------
y_true - 1d numpy array
True class labels
y_pred - 2d numpy array
Predicted probabilities for each class
"""
ohe = OneHotEncoder(sparse=False)
y_true = ohe.fit_transform(y_true.reshape(-1, 1))
#@@@@
if len(y_pred.shape) == 1:
y_pred = np.c_[y_pred, y_pred]
y_pred[:, 0] = 1 - y_pred[:, 1]
#@@@@
auc_score = roc_auc_score(y_true, y_pred)
return auc_score
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
class TestSklearnClassificationBinary(unittest.TestCase):
# -------------------------------------------------------------------------
# Test returned arrays in variant B. Labels
# -------------------------------------------------------------------------
def test_variant_B_labels(self):
# reference
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
model = model.fit(X_train, y_train)
S_test_1 = model.predict(X_test).reshape(-1, 1)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test returned arrays in variant A. Labels
# -------------------------------------------------------------------------
def test_variant_A_labels(self):
S_test_temp = np.zeros((X_test.shape[0], n_folds))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
model = model.fit(X_tr, y_tr)
S_test_temp[:, fold_counter] = model.predict(X_test)
S_test_1 = st.mode(S_test_temp, axis=1)[0]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='A', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test returned arrays in variant B. Probabilities
# -------------------------------------------------------------------------
def test_variant_B_proba(self):
# reference
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
model = model.fit(X_train, y_train)
S_test_1 = model.predict_proba(X_test)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test returned arrays in variant A. Probabilities
# -------------------------------------------------------------------------
def test_variant_A_proba(self):
S_test_1 = np.zeros((X_test.shape[0], n_classes))
S_test_temp = np.zeros((X_test.shape[0], n_folds * n_classes))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
model = model.fit(X_tr, y_tr)
col_slice_fold = slice(fold_counter * n_classes, fold_counter * n_classes + n_classes)
S_test_temp[:, col_slice_fold] = model.predict_proba(X_test)
for class_id in range(n_classes):
S_test_1[:, class_id] = np.mean(S_test_temp[:, class_id::n_classes], axis=1)
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='A', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
#---------------------------------------------------------------------------
# Test ``shuffle`` and ``random_state`` parameters in variant A
#---------------------------------------------------------------------------
def test_variant_A_proba_shuffle_random_state(self):
S_test_1 = np.zeros((X_test.shape[0], n_classes))
S_test_temp = np.zeros((X_test.shape[0], n_folds * n_classes))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=True, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
model = model.fit(X_tr, y_tr)
col_slice_fold = slice(fold_counter * n_classes, fold_counter * n_classes + n_classes)
S_test_temp[:, col_slice_fold] = model.predict_proba(X_test)
for class_id in range(n_classes):
S_test_1[:, class_id] = np.mean(S_test_temp[:, class_id::n_classes], axis=1)
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
# !!! Important. Here we pass CV-generator ``cv=kf`` not number of folds
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=kf, n_jobs=1, verbose=0,
method='predict_proba')
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=True,
variant='A', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test default metric and scores. Labels
# ``metric`` parameter and its default values depends on ``regression`` parameter.
# Important. We use ``greater_is_better=True`` in ``make_scorer``
# for any error function because we need raw scores (without minus sign)
# -------------------------------------------------------------------------
def test_default_metric_and_scores_labels(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
scorer = make_scorer(accuracy_score)
scores_1 = cross_val_score(model, X_train, y=y_train,
cv=n_folds, scoring=scorer,
n_jobs=1, verbose=0)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
scores_2 = stack.scores_[0].copy()
# fit_transform
# also check refitting already fitted transformer
_ = stack.fit_transform(X_train, y_train)
scores_3 = stack.scores_[0].copy()
assert_array_equal(scores_1, scores_2)
assert_array_equal(scores_1, scores_3)
# mean and std
mean_1 = np.mean(scores_1)
std_1 = np.std(scores_1)
mean_2 = stack.mean_std_[0][1]
std_2 = stack.mean_std_[0][2]
assert_equal(mean_1, mean_2)
assert_equal(std_1, std_2)
# -------------------------------------------------------------------------
# Test custom metric and scores. Labels
# -------------------------------------------------------------------------
def test_custom_metric_and_scores_labels(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
scorer = make_scorer(zero_one_loss)
scores_1 = cross_val_score(model, X_train, y=y_train,
cv=n_folds, scoring=scorer,
n_jobs=1, verbose=0)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, metric=zero_one_loss,
verbose=0)
stack = stack.fit(X_train, y_train)
scores_2 = stack.scores_[0].copy()
# fit_transform
# also check refitting already fitted transformer
_ = stack.fit_transform(X_train, y_train)
scores_3 = stack.scores_[0].copy()
assert_array_equal(scores_1, scores_2)
assert_array_equal(scores_1, scores_3)
# mean and std
mean_1 = np.mean(scores_1)
std_1 = np.std(scores_1)
mean_2 = stack.mean_std_[0][1]
std_2 = stack.mean_std_[0][2]
assert_equal(mean_1, mean_2)
assert_equal(std_1, std_2)
# -------------------------------------------------------------------------
# Test default metric and scores. Probabilities
# -------------------------------------------------------------------------
def test_default_metric_and_scores_proba(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
scorer = make_scorer(log_loss, needs_proba=True)
scores_1 = cross_val_score(model, X_train, y=y_train,
cv=n_folds, scoring=scorer,
n_jobs=1, verbose=0)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
scores_2 = stack.scores_[0].copy()
# fit_transform
# also check refitting already fitted transformer
_ = stack.fit_transform(X_train, y_train)
scores_3 = stack.scores_[0].copy()
assert_array_equal(scores_1, scores_2)
assert_array_equal(scores_1, scores_3)
# mean and std
mean_1 = np.mean(scores_1)
std_1 = np.std(scores_1)
mean_2 = stack.mean_std_[0][1]
std_2 = stack.mean_std_[0][2]
assert_equal(mean_1, mean_2)
assert_equal(std_1, std_2)
# -------------------------------------------------------------------------
# Test custom metric and scores. Probabilities
# -------------------------------------------------------------------------
def test_custom_metric_and_scores_proba(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
scorer = make_scorer(roc_auc_score_universal, needs_proba=True)
scores_1 = cross_val_score(model, X_train, y=y_train,
cv=n_folds, scoring=scorer,
n_jobs=1, verbose=0)
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, needs_proba=True,
metric=roc_auc_score_universal, verbose=0)
stack = stack.fit(X_train, y_train)
scores_2 = stack.scores_[0].copy()
# fit_transform
# also check refitting already fitted transformer
_ = stack.fit_transform(X_train, y_train)
scores_3 = stack.scores_[0].copy()
assert_array_equal(scores_1, scores_2)
assert_array_equal(scores_1, scores_3)
# mean and std
mean_1 = np.mean(scores_1)
std_1 = np.std(scores_1)
mean_2 = stack.mean_std_[0][1]
std_2 = stack.mean_std_[0][2]
assert_equal(mean_1, mean_2)
assert_equal(std_1, std_2)
# -------------------------------------------------------------------------
# Test several estimators in one run. Variant B. Labels
# -------------------------------------------------------------------------
def test_variant_B_2_estimators_labels(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1_e1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
model = model.fit(X_train, y_train)
S_test_1_e1 = model.predict(X_test).reshape(-1, 1)
model = GaussianNB()
S_train_1_e2 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
model = model.fit(X_train, y_train)
S_test_1_e2 = model.predict(X_test).reshape(-1, 1)
S_train_1 = np.c_[S_train_1_e1, S_train_1_e2]
S_test_1 = np.c_[S_test_1_e1, S_test_1_e2]
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')),
('bayes', GaussianNB())]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test several estimators in one run. Variant B. Probabilities
# -------------------------------------------------------------------------
def test_variant_B_2_estimators_proba(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1_e1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
model = model.fit(X_train, y_train)
S_test_1_e1 = model.predict_proba(X_test)
model = GaussianNB()
S_train_1_e2 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
model = model.fit(X_train, y_train)
S_test_1_e2 = model.predict_proba(X_test)
S_train_1 = np.c_[S_train_1_e1, S_train_1_e2]
S_test_1 = np.c_[S_test_1_e1, S_test_1_e2]
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')),
('bayes', GaussianNB())]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test several estimators in one run. Variant A. Labels
# -------------------------------------------------------------------------
def test_variant_A_2_estimators_labels(self):
# Estimator 1
S_test_temp_e1 = np.zeros((X_test.shape[0], n_folds))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
model = model.fit(X_tr, y_tr)
S_test_temp_e1[:, fold_counter] = model.predict(X_test)
S_test_1_e1 = st.mode(S_test_temp_e1, axis=1)[0]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1_e1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
# Estimator 2
S_test_temp_e2 = np.zeros((X_test.shape[0], n_folds))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = GaussianNB()
model = model.fit(X_tr, y_tr)
S_test_temp_e2[:, fold_counter] = model.predict(X_test)
S_test_1_e2 = st.mode(S_test_temp_e2, axis=1)[0]
model = GaussianNB()
S_train_1_e2 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
S_train_1 = np.c_[S_train_1_e1, S_train_1_e2]
S_test_1 = np.c_[S_test_1_e1, S_test_1_e2]
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')),
('bayes', GaussianNB())]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='A', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test several estimators in one run. Variant A. Probabilities
# -------------------------------------------------------------------------
def test_variant_A_2_estimators_proba(self):
# Estimator 1
S_test_1_e1 = np.zeros((X_test.shape[0], n_classes))
S_test_temp_e1 = np.zeros((X_test.shape[0], n_folds * n_classes))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
model = model.fit(X_tr, y_tr)
col_slice_fold = slice(fold_counter * n_classes, fold_counter * n_classes + n_classes)
S_test_temp_e1[:, col_slice_fold] = model.predict_proba(X_test)
for class_id in range(n_classes):
S_test_1_e1[:, class_id] = np.mean(S_test_temp_e1[:, class_id::n_classes], axis=1)
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1_e1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
# Estimator 2
S_test_1_e2 = np.zeros((X_test.shape[0], n_classes))
S_test_temp_e2 = np.zeros((X_test.shape[0], n_folds * n_classes))
# Using StratifiedKFold because by defauld cross_val_predict uses StratifiedKFold
kf = StratifiedKFold(n_splits=n_folds, shuffle=False, random_state=0)
for fold_counter, (tr_index, te_index) in enumerate(kf.split(X_train, y_train)):
# Split data and target
X_tr = X_train[tr_index]
y_tr = y_train[tr_index]
# X_te = X_train[te_index]
# y_te = y_train[te_index]
model = GaussianNB()
model = model.fit(X_tr, y_tr)
col_slice_fold = slice(fold_counter * n_classes, fold_counter * n_classes + n_classes)
S_test_temp_e2[:, col_slice_fold] = model.predict_proba(X_test)
for class_id in range(n_classes):
S_test_1_e2[:, class_id] = np.mean(S_test_temp_e2[:, class_id::n_classes], axis=1)
model = GaussianNB()
S_train_1_e2 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
S_train_1 = np.c_[S_train_1_e1, S_train_1_e2]
S_test_1 = np.c_[S_test_1_e1, S_test_1_e2]
# fit then transform
estimators = [('logit', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')),
('bayes', GaussianNB())]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='A', random_state=0,
stratified=True, needs_proba=True,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test default (dummy) classifier. Labels
# -------------------------------------------------------------------------
def test_variant_B_default_classifier_labels(self):
# reference
model = DummyClassifier(strategy='constant', constant=1)
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
model = model.fit(X_train, y_train)
S_test_1 = model.predict(X_test).reshape(-1, 1)
# fit then transform
stack = StackingTransformer(estimators=None, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
# -------------------------------------------------------------------------
# Test default (dummy) classifier. Probabilities
# -------------------------------------------------------------------------
def test_variant_B_default_classifier_proba(self):
# reference
model = DummyClassifier(strategy='constant', constant=1)
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict_proba')
model = model.fit(X_train, y_train)
S_test_1 = model.predict_proba(X_test)
# fit then transform
stack = StackingTransformer(estimators=None, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
needs_proba=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# compare
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
#---------------------------------------------------------------------------
# Testing ``verbose`` parameter
#---------------------------------------------------------------------------
def test_variant_B_verbose(self):
model = LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr')
S_train_1 = cross_val_predict(model, X_train, y=y_train,
cv=n_folds, n_jobs=1, verbose=0,
method='predict').reshape(-1, 1)
model = model.fit(X_train, y_train)
S_test_1 = model.predict(X_test).reshape(-1, 1)
# verbose=0
# fit then transform
estimators = [('lr', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=0)
stack = stack.fit(X_train, y_train)
S_train_2 = stack.transform(X_train)
S_test_2 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_3 = stack.fit_transform(X_train, y_train)
S_test_3 = stack.transform(X_test)
# verbose=1
# fit then transform
estimators = [('lr', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=1)
stack = stack.fit(X_train, y_train)
S_train_4 = stack.transform(X_train)
S_test_4 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_5 = stack.fit_transform(X_train, y_train)
S_test_5 = stack.transform(X_test)
# verbose=2
# fit then transform
estimators = [('lr', LogisticRegression(random_state=0, solver='liblinear', multi_class='ovr'))]
stack = StackingTransformer(estimators, regression=False,
n_folds=n_folds, shuffle=False,
variant='B', random_state=0,
stratified=True, verbose=2)
stack = stack.fit(X_train, y_train)
S_train_6 = stack.transform(X_train)
S_test_6 = stack.transform(X_test)
# fit_transform
# also check refitting already fitted transformer
S_train_7 = stack.fit_transform(X_train, y_train)
S_test_7 = stack.transform(X_test)
assert_array_equal(S_train_1, S_train_2)
assert_array_equal(S_test_1, S_test_2)
assert_array_equal(S_train_1, S_train_3)
assert_array_equal(S_test_1, S_test_3)
assert_array_equal(S_train_1, S_train_4)
assert_array_equal(S_test_1, S_test_4)
assert_array_equal(S_train_1, S_train_5)
assert_array_equal(S_test_1, S_test_5)
assert_array_equal(S_train_1, S_train_6)
assert_array_equal(S_test_1, S_test_6)
assert_array_equal(S_train_1, S_train_7)
assert_array_equal(S_test_1, S_test_7)
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
if __name__ == '__main__':
unittest.main()
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
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0
| 7
|
81a2796f5fcdb8746f39ed5036ffa81be7e3b462
| 213
|
py
|
Python
|
palindrome.py
|
brupoon/mustachedNinja
|
7a44167fa2655ffa206b7f68808efc979b2b6e16
|
[
"MIT"
] | null | null | null |
palindrome.py
|
brupoon/mustachedNinja
|
7a44167fa2655ffa206b7f68808efc979b2b6e16
|
[
"MIT"
] | null | null | null |
palindrome.py
|
brupoon/mustachedNinja
|
7a44167fa2655ffa206b7f68808efc979b2b6e16
|
[
"MIT"
] | null | null | null |
#palindrome, ch 6 ex 6
#cc-by-sa 4.0, bpoon 2014
def first(word):
return word[0]
def last(word):
return word[-1]
def middle(word):
return word[1:-1]
if __name__ == '__main__':
pass
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0
| 7
|
81bdb0a49c5a7725fb8a04e28d2c73d9c3b7ba65
| 20,334
|
py
|
Python
|
tests/test_deploy.py
|
FrithiofJensen/slam
|
cf68a4bbc16d909718f8a9e71072b822e0a3d94b
|
[
"MIT"
] | 79
|
2017-01-02T21:40:22.000Z
|
2022-02-22T11:07:51.000Z
|
tests/test_deploy.py
|
FrithiofJensen/slam
|
cf68a4bbc16d909718f8a9e71072b822e0a3d94b
|
[
"MIT"
] | 17
|
2017-01-02T23:04:42.000Z
|
2020-10-09T19:08:39.000Z
|
tests/test_deploy.py
|
FrithiofJensen/slam
|
cf68a4bbc16d909718f8a9e71072b822e0a3d94b
|
[
"MIT"
] | 13
|
2017-02-09T22:52:30.000Z
|
2020-09-21T01:48:18.000Z
|
from copy import deepcopy
import mock
import sys
import unittest
import boto3
import botocore
from slam import cfn
from slam import cli
BUILTIN = '__builtin__'
if sys.version_info >= (3, 0):
BUILTIN = 'builtins'
config = {
'name': 'foo',
'description': 'bar',
'stage_environments': {'dev': {'log': True, 'variables': {'STAGE': 'x'}},
'prod': {'log': False, 'variables': {'FOO': 'bar'}},
'staging': {'log': False}},
'environment': {'abc': 'def'},
'devstage': 'dev',
'aws': {'s3_bucket': 'bucket',
'lambda_timeout': 7,
'lambda_memory': 512}
}
describe_stacks_response = {'Stacks': [{
'Parameters': [
{'ParameterKey': 'LambdaS3Bucket', 'ParameterValue': 'bucket'},
{'ParameterKey': 'LambdaS3Key',
'ParameterValue': 'lambda-old.zip'},
{'ParameterKey': 'DevVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'ProdVersion', 'ParameterValue': '2'},
{'ParameterKey': 'StagingVersion',
'ParameterValue': '1'}
],
'Outputs': [
{'OutputKey': 'FunctionArn', 'OutputValue': 'arn:lambda:foo'},
{'OutputKey': 'ApiId', 'OutputValue': '123abc'},
{'OutputKey': 'DevEndpoint', 'OutputValue': 'https://a.com'},
{'OutputKey': 'ProdEndpoint', 'OutputValue': 'https://b.com'},
{'OutputKey': 'StagingEndpoint',
'OutputValue': 'https://c.com'},
]
}]}
class DeployTests(unittest.TestCase):
def test_get_from_stack(self):
stack = {
'Parameters': [
{'ParameterKey': 'foo',
'ParameterValue': 'bar'},
{'ParameterKey': 'key',
'ParameterValue': 'value'}
],
'Outputs': [
{'OutputKey': 'foo',
'OutputValue': 'bar'},
{'OutputKey': 'key',
'OutputValue': 'value'}
]
}
self.assertEqual(cli._get_from_stack(stack, 'Parameter', 'foo'), 'bar')
self.assertEqual(cli._get_from_stack(stack, 'Parameter', 'key'),
'value')
self.assertEqual(cli._get_from_stack(stack, 'Parameter', 'x'), None)
self.assertEqual(cli._get_from_stack(stack, 'Output', 'foo'), 'bar')
self.assertEqual(cli._get_from_stack(stack, 'Output', 'key'),
'value')
self.assertEqual(cli._get_from_stack(stack, 'Output', 'x'), None)
self.assertRaises(ValueError, cli._get_from_stack, stack, 'Foo', 'bar')
def test_get_template(self):
tpl = cfn.get_cfn_template(config)
self.assertTrue(tpl.startswith(
'{"AWSTemplateFormatVersion": "2010-09-09"'))
try:
client = boto3.client('cloudformation')
except botocore.exceptions.BotoCoreError:
pass
else:
client.validate_template(TemplateBody=tpl)
# TODO: find an offline cloudformation validator that can be used here
# without having to have aws creds
@mock.patch('slam.cli.boto3.client')
@mock.patch(BUILTIN + '.print')
def test_print_status(self, mock_print, client):
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = {'Stacks': [{
'Outputs': [
{'OutputKey': 'FunctionArn', 'OutputValue': 'arn:lambda:foo'},
{'OutputKey': 'DevEndpoint', 'OutputValue': 'https://a.com'},
{'OutputKey': 'ProdEndpoint', 'OutputValue': 'https://b.com'},
{'OutputKey': 'StagingEndpoint',
'OutputValue': 'https://c.com'},
]
}]}
mock_lmb = mock.MagicMock()
mock_lmb.get_function.side_effect = [
{'Configuration': {'Version': '$LATEST'}},
{'Configuration': {'Version': '23'}},
{'Configuration': {'Version': '$LATEST'}},
]
client.side_effect = [mock_cfn, mock_lmb]
cli._print_status(config)
output = ''.join([c[0][0] + '\n' for c in mock_print.call_args_list])
self.assertEqual(output, ('foo is deployed!\n'
' Function name: foo\n'
' S3 bucket: bucket\n'
' Stages:\n'
' dev:$LATEST\n'
' prod:23\n'
' staging:$LATEST\n'))
@mock.patch('slam.cli.boto3.client')
@mock.patch(BUILTIN + '.print')
def test_print_status_with_api_gateway(self, mock_print, client):
api_config = deepcopy(config)
api_config['wsgi'] = {'deploy_api_gateway': True}
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = {'Stacks': [{
'Outputs': [
{'OutputKey': 'FunctionArn', 'OutputValue': 'arn:lambda:foo'},
{'OutputKey': 'DevEndpoint', 'OutputValue': 'https://a.com'},
{'OutputKey': 'ProdEndpoint', 'OutputValue': 'https://b.com'},
{'OutputKey': 'StagingEndpoint',
'OutputValue': 'https://c.com'},
]
}]}
mock_lmb = mock.MagicMock()
mock_lmb.get_function.side_effect = [
{'Configuration': {'Version': '$LATEST'}},
{'Configuration': {'Version': '23'}},
{'Configuration': {'Version': '$LATEST'}},
]
client.side_effect = [mock_cfn, mock_lmb]
cli._print_status(api_config)
output = ''.join([c[0][0] + '\n' for c in mock_print.call_args_list])
self.assertEqual(output, ('foo is deployed!\n'
' Function name: foo\n'
' S3 bucket: bucket\n'
' Stages:\n'
' dev:$LATEST: https://a.com\n'
' prod:23: https://b.com\n'
' staging:$LATEST: https://c.com\n'))
@mock.patch('slam.cli.boto3.client')
@mock.patch(BUILTIN + '.print')
def test_print_status_without_api_gateway(self, mock_print, client):
api_config = deepcopy(config)
api_config['wsgi'] = {'deploy_api_gateway': False}
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = {'Stacks': [{
'Outputs': [
{'OutputKey': 'FunctionArn', 'OutputValue': 'arn:lambda:foo'},
]
}]}
mock_lmb = mock.MagicMock()
mock_lmb.get_function.side_effect = [
{'Configuration': {'Version': '$LATEST'}},
{'Configuration': {'Version': '23'}},
{'Configuration': {'Version': '$LATEST'}},
]
client.side_effect = [mock_cfn, mock_lmb]
cli._print_status(api_config)
output = ''.join([c[0][0] + '\n' for c in mock_print.call_args_list])
self.assertEqual(output, ('foo is deployed!\n'
' Function name: foo\n'
' S3 bucket: bucket\n'
' Stages:\n'
' dev:$LATEST\n'
' prod:23\n'
' staging:$LATEST\n'))
@mock.patch('slam.cli.boto3.client')
@mock.patch(BUILTIN + '.print')
def test_print_status_not_deployed(self, mock_print, client):
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
mock_lmb = mock.MagicMock()
mock_lmb.get_function.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_cfn, mock_lmb]
cli._print_status(config)
output = ''.join([c[0][0] + '\n' for c in mock_print.call_args_list])
self.assertEqual(output, 'foo has not been deployed yet.\n')
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_first(self, _load_config, client, _get_aws_region, _build,
_ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy'])
mock_cfn.describe_stacks.assert_called_once_with(StackName='foo')
_build.assert_called_once_with(config, rebuild_deps=False)
_ensure_bucket_exists.assert_called_once_with(mock_s3, 'bucket',
'us-east-1')
mock_s3.upload_file.assert_called_with('lambda.zip', 'bucket',
'lambda.zip')
remove.assert_called_once_with('lambda.zip')
mock_cfn.create_stack.assert_called_once_with(
StackName='foo', TemplateBody='cfn-template',
Parameters=[
{'ParameterKey': 'LambdaS3Bucket', 'ParameterValue': 'bucket'},
{'ParameterKey': 'LambdaS3Key',
'ParameterValue': 'lambda.zip'},
{'ParameterKey': 'DevVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'ProdVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'StagingVersion',
'ParameterValue': '$LATEST'}],
Capabilities=['CAPABILITY_IAM'])
mock_cfn.get_waiter.assert_called_once_with('stack_create_complete')
mock_cfn.get_waiter().wait.assert_called_once_with(StackName='foo')
_print_status.assert_called_once_with(config)
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_update(self, _load_config, client, _get_aws_region, _build,
_ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = describe_stacks_response
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy'])
mock_cfn.describe_stacks.assert_called_once_with(StackName='foo')
_build.assert_called_once_with(config, rebuild_deps=False)
_ensure_bucket_exists.assert_called_once_with(mock_s3, 'bucket',
'us-east-1')
mock_s3.upload_file.assert_called_with('lambda.zip', 'bucket',
'lambda.zip')
remove.assert_called_once_with('lambda.zip')
mock_cfn.update_stack.assert_called_once_with(
StackName='foo', TemplateBody='cfn-template',
Parameters=[
{'ParameterKey': 'LambdaS3Bucket', 'ParameterValue': 'bucket'},
{'ParameterKey': 'LambdaS3Key',
'ParameterValue': 'lambda.zip'},
{'ParameterKey': 'DevVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'ProdVersion', 'ParameterValue': '2'},
{'ParameterKey': 'StagingVersion',
'ParameterValue': '1'}],
Capabilities=['CAPABILITY_IAM'])
mock_s3.delete_object(Bucket='bucket', Key='lambda-old.zip')
mock_cfn.get_waiter.assert_called_once_with('stack_update_complete')
mock_cfn.get_waiter().wait.assert_called_once_with(StackName='foo')
_print_status.assert_called_once_with(config)
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_with_package(self, _load_config, client, _get_aws_region,
_build, _ensure_bucket_exists,
get_cfn_template, _print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy', '--lambda-package', 'my-lambda.zip'])
_build.assert_not_called()
mock_s3.upload_file.assert_called_with('my-lambda.zip', 'bucket',
'my-lambda.zip')
try:
remove.assert_called_once_with('my-lambda.zip')
except AssertionError:
pass
else:
raise AssertionError('file should not have been deleted')
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_no_lambda(self, _load_config, client, _get_aws_region,
_build, _ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = describe_stacks_response
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy', '--no-lambda'])
_build.assert_not_called()
mock_s3.upload_file.assert_not_called()
mock_cfn.update_stack.assert_called_once_with(
StackName='foo', TemplateBody='cfn-template',
Parameters=[
{'ParameterKey': 'LambdaS3Bucket', 'ParameterValue': 'bucket'},
{'ParameterKey': 'LambdaS3Key',
'ParameterValue': 'lambda-old.zip'},
{'ParameterKey': 'DevVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'ProdVersion', 'ParameterValue': '2'},
{'ParameterKey': 'StagingVersion',
'ParameterValue': '1'}],
Capabilities=['CAPABILITY_IAM'])
print(mock_s3.delete_object.call_args_list)
mock_s3.delete_object.assert_not_called()
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_rebuild(self, _load_config, client, _get_aws_region,
_build, _ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy', '--rebuild-deps'])
_build.assert_called_once_with(config, rebuild_deps=True)
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_stage(self, _load_config, client, _get_aws_region, _build,
_ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = describe_stacks_response
client.side_effect = [mock_s3, mock_cfn]
cli.main(['deploy', '--stage', 'staging'])
mock_cfn.update_stack.assert_called_once_with(
StackName='foo', TemplateBody='cfn-template',
Parameters=[
{'ParameterKey': 'LambdaS3Bucket', 'ParameterValue': 'bucket'},
{'ParameterKey': 'LambdaS3Key',
'ParameterValue': 'lambda.zip'},
{'ParameterKey': 'DevVersion', 'ParameterValue': '$LATEST'},
{'ParameterKey': 'ProdVersion', 'ParameterValue': '2'},
{'ParameterKey': 'StagingVersion',
'ParameterValue': '$LATEST'}],
Capabilities=['CAPABILITY_IAM'])
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_fail(self, _load_config, client, _get_aws_region, _build,
_ensure_bucket_exists, get_cfn_template,
_print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
mock_cfn.get_waiter().wait.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_s3, mock_cfn]
self.assertRaises(botocore.exceptions.ClientError, cli.main,
['deploy'])
mock_s3.delete_object.assert_called_once_with(Bucket='bucket',
Key='lambda.zip')
@mock.patch('slam.cli.os.remove')
@mock.patch('slam.cli._print_status')
@mock.patch('slam.cli.get_cfn_template', return_value='cfn-template')
@mock.patch('slam.cli._ensure_bucket_exists')
@mock.patch('slam.cli._build', return_value='lambda.zip')
@mock.patch('slam.cli._get_aws_region', return_value='us-east-1')
@mock.patch('slam.cli.boto3.client')
@mock.patch('slam.cli._load_config', return_value=config)
def test_deploy_fail_no_lambda(self, _load_config, client, _get_aws_region,
_build, _ensure_bucket_exists,
get_cfn_template, _print_status, remove):
mock_s3 = mock.MagicMock()
mock_cfn = mock.MagicMock()
mock_cfn.describe_stacks.return_value = describe_stacks_response
mock_cfn.get_waiter().wait.side_effect = \
botocore.exceptions.ClientError({'Error': {}}, 'operation')
client.side_effect = [mock_s3, mock_cfn]
self.assertRaises(botocore.exceptions.ClientError, cli.main,
['deploy', '--no-lambda'])
mock_s3.delete_object.assert_not_called()
| 47.178654
| 79
| 0.58503
| 2,142
| 20,334
| 5.264706
| 0.09057
| 0.057462
| 0.07839
| 0.09648
| 0.877538
| 0.869824
| 0.869025
| 0.862286
| 0.838787
| 0.804026
| 0
| 0.007347
| 0.270385
| 20,334
| 430
| 80
| 47.288372
| 0.752764
| 0.004967
| 0
| 0.748111
| 0
| 0
| 0.264805
| 0.064162
| 0
| 0
| 0
| 0.002326
| 0.11335
| 1
| 0.035264
| false
| 0.005038
| 0.020151
| 0
| 0.057935
| 0.088161
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
|
0
| 7
|
81e5931075032dc4177e995b718be1707e0c3ad8
| 14,751
|
py
|
Python
|
paypalcheckoutsdk/orders/orders_get_request.py
|
taqma/Checkout-Python-SDK
|
ebb26e78408cc70a159436b7b43ac249cc169766
|
[
"BSD-Source-Code"
] | null | null | null |
paypalcheckoutsdk/orders/orders_get_request.py
|
taqma/Checkout-Python-SDK
|
ebb26e78408cc70a159436b7b43ac249cc169766
|
[
"BSD-Source-Code"
] | null | null | null |
paypalcheckoutsdk/orders/orders_get_request.py
|
taqma/Checkout-Python-SDK
|
ebb26e78408cc70a159436b7b43ac249cc169766
|
[
"BSD-Source-Code"
] | null | null | null |
# This class was generated on Mon, 02 Jul 2018 17:09:03 PDT by version 0.1.0-dev+0ee05a-dirty of Braintree SDK Generator
# orders_get_request.py
# @version 0.1.0-dev+0ee05a-dirty
# @type request
# @data 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
# DO NOT EDIT
import braintreehttp
try:
from urllib.parse import quote # Python 2.X
except ImportError:
from urllib.parse import quote # Python 3+
class OrdersGetRequest:
"""
Shows details for an order, by ID.
"""
def __init__(self, order_id):
self.verb = "GET"
self.path = "/v2/checkout/orders/{order_id}?".replace("{order_id}", quote(str(order_id)))
self.headers = {}
self.headers["Content-Type"] = "application/json"
self.body = None
| 567.346154
| 14,044
| 0.953224
| 526
| 14,751
| 26.712928
| 0.922053
| 0.001993
| 0.001281
| 0.001423
| 0.007971
| 0.007971
| 0.003416
| 0
| 0
| 0
| 0
| 0.15013
| 0.010643
| 14,751
| 25
| 14,045
| 590.04
| 0.812663
| 0.96929
| 0
| 0.166667
| 1
| 0
| 0.167442
| 0.072093
| 0
| 1
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0.333333
| 0
| 0.5
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
81e67a207c368e3e459b974be361a089d84b4cee
| 3,600
|
py
|
Python
|
src/test_SocrataDataFormatter.py
|
usdot-its-jpo-data-portal/datahub-ingest
|
c095ccf35574ea0402a976223e723921e1abd762
|
[
"Apache-2.0"
] | null | null | null |
src/test_SocrataDataFormatter.py
|
usdot-its-jpo-data-portal/datahub-ingest
|
c095ccf35574ea0402a976223e723921e1abd762
|
[
"Apache-2.0"
] | 2
|
2021-01-21T21:49:22.000Z
|
2021-06-02T01:20:20.000Z
|
src/test_SocrataDataFormatter.py
|
usdot-its-jpo-data-portal/datahub-ingest
|
c095ccf35574ea0402a976223e723921e1abd762
|
[
"Apache-2.0"
] | 1
|
2021-12-14T18:05:52.000Z
|
2021-12-14T18:05:52.000Z
|
import unittest
from SocrataDataFormatter import SocrataDataFormatter
from UtilsTest import UtilsTest
class TestSocrataDataFormatter(unittest.TestCase):
def test_getSocrataDataObjects(self):
test_results = UtilsTest().get_dtg_mock_data()
test_socrata_data_formatter = SocrataDataFormatter()
formatted_results = test_socrata_data_formatter.get_data_objects(test_results, "dtg")
assert len(formatted_results) == 2
assert formatted_results[0].dh_source_name == "dtg"
def test_validate_fields_dtg(self):
test_input = UtilsTest().get_dtg_mock_data()
test_socrata_data_formatter = SocrataDataFormatter()
formatted_results = test_socrata_data_formatter.get_data_objects(test_input, "dtg")
doc = test_input['results'][0]
data = formatted_results[0]
self.assertEqual(data.dh_type, 'Dataset')
self.assertEqual(data.dh_source_name, 'dtg', 'Invalid dh_source_name')
self.assertEqual(data.dh_id, '{}-{}'.format(data.dh_source_name, doc['resource']['id']), 'Invalid dh_id')
self.assertEqual(data.id, doc['resource']['id'], 'Invalid ID')
self.assertEqual(data.name, doc['resource']['name'], 'Invalid name')
self.assertEqual(data.description, doc['resource']['description'], 'Invalid description')
self.assertEqual(data.access_level, 'Public', 'Invalid access_level')
udt = doc['resource']['updatedAt']
udt = udt[0: 19] + 'Z'
self.assertEqual(data.last_updated, udt, 'Invalid last_updated')
self.assertEqual(len(data.tags), len(doc['classification']['domain_tags']), 'Invalid number of tags')
self.assertEqual(data.source_url, doc['link'], 'Invalid source_url')
self.assertEqual(data.metrics['downloadsTotal'], doc['resource']['download_count'])
self.assertEqual(data.metrics['pageViewsLastMonth'], doc['resource']['page_views']['page_views_last_month'])
self.assertEqual(data.metrics['pageViewsTotal'], doc['resource']['page_views']['page_views_total'])
def test_validate_fields_scgc(self):
test_input = UtilsTest().get_scgc_mock_data()
test_socrata_data_formatter = SocrataDataFormatter()
formatted_results = test_socrata_data_formatter.get_data_objects(test_input, "scgc")
doc = test_input['results'][0]
data = formatted_results[0]
self.assertEqual(data.dh_type, 'Dataset')
self.assertEqual(data.dh_source_name, 'scgc', 'Invalid dh_source_name')
self.assertEqual(data.dh_id, '{}-{}'.format(data.dh_source_name, doc['resource']['id']), 'Invalid dh_id')
self.assertEqual(data.id, doc['resource']['id'], 'Invalid ID')
self.assertEqual(data.name, doc['resource']['name'], 'Invalid name')
self.assertEqual(data.description, doc['resource']['description'], 'Invalid description')
self.assertEqual(data.access_level, 'Public', 'Invalid access_level')
udt = doc['resource']['updatedAt']
udt = udt[0: 19] + 'Z'
self.assertEqual(data.last_updated, udt, 'Invalid last_updated')
self.assertEqual(len(data.tags), len(doc['classification']['domain_tags']), 'Invalid number of tags')
self.assertEqual(data.source_url, doc['link'], 'Invalid source_url')
self.assertEqual(data.metrics['downloadsTotal'], doc['resource']['download_count'])
self.assertEqual(data.metrics['pageViewsLastMonth'], doc['resource']['page_views']['page_views_last_month'])
self.assertEqual(data.metrics['pageViewsTotal'], doc['resource']['page_views']['page_views_total'])
| 57.142857
| 116
| 0.697222
| 423
| 3,600
| 5.685579
| 0.158392
| 0.162162
| 0.189605
| 0.059875
| 0.866528
| 0.850728
| 0.850728
| 0.850728
| 0.850728
| 0.850728
| 0
| 0.00395
| 0.156111
| 3,600
| 62
| 117
| 58.064516
| 0.787689
| 0
| 0
| 0.673077
| 0
| 0
| 0.238889
| 0.011667
| 0
| 0
| 0
| 0
| 0.538462
| 1
| 0.057692
| false
| 0
| 0.057692
| 0
| 0.134615
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
81e6d7e4c5225a328154ae28bad91fad114eb558
| 3,710
|
py
|
Python
|
maskrcnn/settings.py
|
hqbao/dlp_tf
|
e8fe3281470faebbe8e36caf55025c270e84c44f
|
[
"MIT"
] | null | null | null |
maskrcnn/settings.py
|
hqbao/dlp_tf
|
e8fe3281470faebbe8e36caf55025c270e84c44f
|
[
"MIT"
] | null | null | null |
maskrcnn/settings.py
|
hqbao/dlp_tf
|
e8fe3281470faebbe8e36caf55025c270e84c44f
|
[
"MIT"
] | 1
|
2021-12-30T08:55:37.000Z
|
2021-12-30T08:55:37.000Z
|
def settings(mode):
settings_for = mode
if settings_for == 'non-fpn-train':
return {
'start_example_index': 0,
'num_of_train_examples': 2000,
'num_of_validation_examples': 0,
'asizes': [[91, 181], [128, 128], [181, 91]],
'ishape': [1024, 1024, 3],
'ssize': [32, 32],
'resnet': [[16, 16, 64], [3, [2, 2]], [4, [2, 2]], [6, [2, 2]], [3, [1, 1]]],
'max_num_of_rois': 7,
'unified_roi_size': [7, 7],
'rpn_head_dim': 256,
'fc_denses': [1024, 1024],
'iou_thresholds': [0.3, 0.5],
'nsm_iou_threshold': 0.1,
'nsm_score_threshold': 0.1,
'num_of_samples': 64,
'classes': ['face', 'none'],
'mapping': {0: 0},
'frame_mode': True,
'num_of_epoches': 500,
'base_block_trainable': True,
'weight_loading': False,
'dataset_anno_file_path': '../datasets/coco/annotations/instances_face.json',
'dataset_image_dir_path': '../datasets/coco/images/face',
'output_path': 'output'
}
if settings_for == 'non-fpn-inference':
return {
'start_example_index': 0,
'num_of_train_examples': 0,
'num_of_validation_examples': 0,
'num_of_test_examples': 400,
'asizes': [[91, 181], [128, 128], [181, 91]],
'ishape': [1024, 1024, 3],
'ssize': [32, 32],
'resnet': [[16, 16, 64], [3, [2, 2]], [4, [2, 2]], [6, [2, 2]], [3, [1, 1]]],
'max_num_of_rois': 7,
'unified_roi_size': [7, 7],
'rpn_head_dim': 256,
'fc_denses': [1024, 1024],
'iou_thresholds': [0.3, 0.5],
'nsm_iou_threshold': 0.1,
'nsm_score_threshold': 0.1,
'num_of_samples': 64,
'classes': ['face', 'none'],
'mapping': {0: 0},
'frame_mode': True,
'dataset_anno_file_path': '../datasets/coco/annotations/instances_face.json',
'dataset_image_dir_path': '../datasets/coco/images/face',
'output_path': 'output'
}
if settings_for == 'fpn-train':
return {
'start_example_index': 0,
'num_of_train_examples': 6700,
'num_of_validation_examples': 0,
'asizes': [
[[32, 32]],
[[64, 64]],
[[128, 128]],
[[256, 256]],
],
'ishape': [1024, 1024, 3],
'ssizes': [[128, 128], [64, 64], [32, 32], [16, 16]],
'resnet': [[64, 64, 256], [3, [2, 2]], [4, [2, 2]], [6, [2, 2]], [3, [2, 2]]],
'max_num_of_rois': 7,
'unified_roi_size': [7, 7],
'rpn_head_dim': 512,
'fc_denses': [8],
'iou_thresholds': [0.3, 0.5],
'k0': 5,
'top_down_pyramid_size': 512,
'nsm_iou_threshold': 0.2,
'nsm_score_threshold': 0.1,
'num_of_samples': 64,
'classes': ['face', 'none'],
'mapping': {0: 0},
'frame_mode': True,
'num_of_epoches': 500,
'base_block_trainable': True,
'weight_loading': False,
'dataset_anno_file_path': '../datasets/coco/annotations/instances_face.json',
'dataset_image_dir_path': '../datasets/coco/images/face',
'output_path': 'output'
}
if settings_for == 'fpn-inference':
return {
'start_example_index': 0,
'num_of_train_examples': 0,
'num_of_validation_examples': 0,
'num_of_test_examples': 6700,
'asizes': [
[[32, 32]],
[[64, 64]],
[[128, 128]],
[[256, 256]],
],
'ishape': [1024, 1024, 3],
'ssizes': [[128, 128], [64, 64], [32, 32], [16, 16]],
'resnet': [[64, 64, 256], [3, [2, 2]], [4, [2, 2]], [6, [2, 2]], [3, [2, 2]]],
'max_num_of_rois': 7,
'unified_roi_size': [7, 7],
'rpn_head_dim': 512,
'fc_denses': [8],
'iou_thresholds': [0.3, 0.5],
'k0': 5,
'top_down_pyramid_size': 512,
'nsm_iou_threshold': 0.2,
'nsm_score_threshold': 0.1,
'classes': ['face', 'none'],
'mapping': {0: 0},
'frame_mode': True,
'dataset_anno_file_path': '../datasets/coco/annotations/instances_face.json',
'dataset_image_dir_path': '../datasets/coco/images/face',
'output_path': 'output'
}
| 29.212598
| 81
| 0.581671
| 536
| 3,710
| 3.740672
| 0.169776
| 0.047382
| 0.02394
| 0.045885
| 0.977556
| 0.96808
| 0.94414
| 0.94414
| 0.94414
| 0.94414
| 0
| 0.118019
| 0.189218
| 3,710
| 126
| 82
| 29.444444
| 0.548537
| 0
| 0
| 0.882353
| 0
| 0
| 0.463323
| 0.191478
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008403
| false
| 0
| 0
| 0
| 0.042017
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c49f53ee0105a4eec6de2b4a26e230d48c639c1a
| 111
|
py
|
Python
|
mct_tracking_2d/src/mct_tracking_2d/__init__.py
|
iorodeo/mct
|
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
|
[
"Apache-2.0"
] | null | null | null |
mct_tracking_2d/src/mct_tracking_2d/__init__.py
|
iorodeo/mct
|
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
|
[
"Apache-2.0"
] | null | null | null |
mct_tracking_2d/src/mct_tracking_2d/__init__.py
|
iorodeo/mct
|
fa8b85f36533c9b1486ca4f6b0c40c3daa6f4e11
|
[
"Apache-2.0"
] | null | null | null |
import stitched_image_labeler_master
import three_point_tracker_master
import three_point_tracker_synchronizer
| 27.75
| 39
| 0.945946
| 15
| 111
| 6.4
| 0.6
| 0.25
| 0.354167
| 0.458333
| 0.604167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.054054
| 111
| 3
| 40
| 37
| 0.914286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
c4b0fb6480b062791f6c744890787e70ffdfb65b
| 1,979
|
py
|
Python
|
food/migrations/0004_auto_20180218_1354.py
|
Pantura/fodmap-db
|
14ad68c902c3a62ea358c51b9c0bd0ec32aea2d1
|
[
"MIT"
] | 1
|
2019-02-14T01:46:16.000Z
|
2019-02-14T01:46:16.000Z
|
food/migrations/0004_auto_20180218_1354.py
|
Pantura/fodmap-db
|
14ad68c902c3a62ea358c51b9c0bd0ec32aea2d1
|
[
"MIT"
] | null | null | null |
food/migrations/0004_auto_20180218_1354.py
|
Pantura/fodmap-db
|
14ad68c902c3a62ea358c51b9c0bd0ec32aea2d1
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.0.2 on 2018-02-18 13:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('food', '0003_auto_20180218_1253'),
]
operations = [
migrations.AlterField(
model_name='food',
name='name',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='food',
name='name_en',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='food',
name='name_fi',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodcategory',
name='name',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodcategory',
name='name_en',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodcategory',
name='name_fi',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodclassification',
name='name',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodclassification',
name='name_en',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
migrations.AlterField(
model_name='foodclassification',
name='name_fi',
field=models.CharField(blank=True, default='', max_length=120, null=True),
),
]
| 33.542373
| 86
| 0.568469
| 197
| 1,979
| 5.573604
| 0.208122
| 0.163934
| 0.204918
| 0.237705
| 0.86612
| 0.86612
| 0.86612
| 0.836066
| 0.836066
| 0.836066
| 0
| 0.041877
| 0.300152
| 1,979
| 58
| 87
| 34.12069
| 0.750903
| 0.022739
| 0
| 0.865385
| 1
| 0
| 0.094721
| 0.011905
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.019231
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
c4d9d852f9bd1eb5b9c9215e89852b239709c0e5
| 39,276
|
py
|
Python
|
dataUncert/testVariable.py
|
jacobv95/dataProcessing
|
1ba5f2a2b07f2246ad6aea24dafb2e8dc08eaf8c
|
[
"MIT"
] | null | null | null |
dataUncert/testVariable.py
|
jacobv95/dataProcessing
|
1ba5f2a2b07f2246ad6aea24dafb2e8dc08eaf8c
|
[
"MIT"
] | null | null | null |
dataUncert/testVariable.py
|
jacobv95/dataProcessing
|
1ba5f2a2b07f2246ad6aea24dafb2e8dc08eaf8c
|
[
"MIT"
] | null | null | null |
import unittest
import numpy as np
from random import uniform
try:
from dataUncert.variable import variable
except ModuleNotFoundError:
from variable import variable
class test(unittest.TestCase):
def testSingleNumber(self):
A = variable(1.3, 'm')
B = variable(2.0, 'm', 0.01)
C = variable([1.0, 1.3], 'L/min', np.array([20, 30]))
D = variable(np.array([11, 1111]), 'L/min', [2.1, 3.9])
self.assertEqual(A.value, 1.3)
self.assertEqual(A.unit, 'm')
self.assertEqual(A.uncert, 0)
self.assertEqual(B.value, 2.0)
self.assertEqual(B.unit, 'm')
self.assertEqual(B.uncert, 0.01)
np.testing.assert_equal(C.value, [1.0, 1.3])
self.assertEqual(C.unit, 'L/min')
np.testing.assert_equal(C.uncert, [20, 30])
np.testing.assert_equal(D.value, [11.0, 1111.0])
self.assertEqual(D.unit, 'L/min')
np.testing.assert_equal(D.uncert, [2.1, 3.9])
with self.assertRaises(Exception) as context:
variable(1.3, 'm', 'hej')
self.assertTrue("could not convert string to float: 'hej'" in str(context.exception))
with self.assertRaises(Exception) as context:
variable('med', 'm', 1.0)
self.assertTrue("could not convert string to float: 'med'" in str(context.exception))
with self.assertRaises(Exception) as context:
variable(1.3, 'm', [1.0, 2.3])
self.assertTrue("The value is a number but the uncertanty is a <class 'list'>" in str(context.exception))
with self.assertRaises(Exception) as context:
variable(1.3, 'm', np.array([1.0, 2.3]))
self.assertTrue("The value is a number but the uncertanty is a <class 'numpy.ndarray'>" in str(context.exception))
with self.assertRaises(Exception) as context:
variable(np.array([1.0, 2.3]), 'm', 1.5)
self.assertTrue("The value is a list-like object but the uncertanty is a number" in str(context.exception))
with self.assertRaises(Exception) as context:
variable([1.0, 2.3], 'm', 1.5)
self.assertTrue("The value is a list-like object but the uncertanty is a number" in str(context.exception))
def test_add(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'L/min', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'L/min', uncert=[53.9, 24.75, 6.4])
C = A + B
self.assertAlmostEqual(C.value, 12.3 + 745.1)
self.assertEqual(C.unit, 'L/min')
self.assertAlmostEqual(C.uncert, np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2))
C.convert('m3/s')
self.assertAlmostEqual(C.value, (12.3 + 745.1) / 1000 / 60)
self.assertEqual(C.unit, 'm3/s')
self.assertAlmostEqual(C.uncert, np.sqrt((1 * 2.6 / 1000 / 60)**2 + (1 * 53.9 / 1000 / 60)**2))
C_vec = A_vec + B_vec
np.testing.assert_array_equal(C_vec.value, np.array([12.3 + 745.1, 54.3 + 496.13, 91.3 + 120.54]))
self.assertEqual(C_vec.unit, 'L/min')
np.testing.assert_array_equal(
C_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2),
np.sqrt((1 * 5.4)**2 + (1 * 24.75)**2),
np.sqrt((1 * 10.56)**2 + (1 * 6.4)**2),
]))
C_vec.convert('mL/h')
np.testing.assert_almost_equal(C_vec.value, np.array([(12.3 + 745.1) * 1000 * 60, (54.3 + 496.13) * 1000 * 60, (91.3 + 120.54) * 1000 * 60]))
self.assertEqual(C_vec.unit, 'mL/h')
np.testing.assert_almost_equal(
C_vec.uncert,
np.array([
np.sqrt((1 * 2.6 * 1000 * 60)**2 + (1 * 53.9 * 1000 * 60)**2),
np.sqrt((1 * 5.4 * 1000 * 60)**2 + (1 * 24.75 * 1000 * 60)**2),
np.sqrt((1 * 10.56 * 1000 * 60)**2 + (1 * 6.4 * 1000 * 60)**2),
]))
def test_sub(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'L/min', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'L/min', uncert=[53.9, 24.75, 6.4])
C = A - B
self.assertAlmostEqual(C.value, 12.3 - 745.1)
self.assertEqual(C.unit, 'L/min')
self.assertAlmostEqual(C.uncert, np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2))
C.convert('kL/s')
self.assertAlmostEqual(C.value, (12.3 - 745.1) / 1000 / 60)
self.assertEqual(C.unit, 'kL/s')
self.assertAlmostEqual(C.uncert, np.sqrt((1 * 2.6 / 1000 / 60)**2 + (1 * 53.9 / 1000 / 60)**2))
C_vec = A_vec - B_vec
np.testing.assert_array_equal(C_vec.value, np.array([12.3 - 745.1, 54.3 - 496.13, 91.3 - 120.54]))
self.assertEqual(C_vec.unit, 'L/min')
np.testing.assert_array_equal(
C_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2),
np.sqrt((1 * 5.4)**2 + (1 * 24.75)**2),
np.sqrt((1 * 10.56)**2 + (1 * 6.4)**2),
]))
C_vec.convert('mm3 / h')
np.testing.assert_almost_equal(C_vec.value, np.array([12.3 - 745.1, 54.3 - 496.13, 91.3 - 120.54]) * 1000000 * 60, decimal=5)
self.assertEqual(C_vec.unit, 'mm3/h')
np.testing.assert_almost_equal(
C_vec.uncert,
np.array([
np.sqrt((1 * 2.6 * 1000000 * 60)**2 + (1 * 53.9 * 1000000 * 60)**2),
np.sqrt((1 * 5.4 * 1000000 * 60)**2 + (1 * 24.75 * 1000000 * 60)**2),
np.sqrt((1 * 10.56 * 1000000 * 60)**2 + (1 * 6.4 * 1000000 * 60)**2),
]), decimal=5)
with self.assertRaises(Exception) as context:
A.convert('m')
self.assertTrue('You cannot convert from [L/min] to [m]' in str(context.exception))
def test_add_with_different_units(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
with self.assertRaises(Exception) as context:
A + B
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec + B_vec
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A.convert('m')
self.assertTrue('You cannot convert from [L/min] to [m]' in str(context.exception))
def test_sub_with_different_units(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
with self.assertRaises(Exception) as context:
A - B
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec - B_vec
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A.convert('m')
self.assertTrue('You cannot convert from [L/min] to [m]' in str(context.exception))
def test_multiply(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
C = A * B
self.assertAlmostEqual(C.value, 12.3 * 745.1)
self.assertEqual(C.unit, 'L-m/min')
self.assertAlmostEqual(C.uncert, np.sqrt((745.1 * 2.6)**2 + (12.3 * 53.9)**2))
C_vec = A_vec * B_vec
np.testing.assert_array_equal(C_vec.value, np.array([12.3 * 745.1, 54.3 * 496.13, 91.3 * 120.54]))
self.assertEqual(C_vec.unit, 'L-m/min')
np.testing.assert_array_equal(
C_vec.uncert,
np.array([
np.sqrt((745.1 * 2.6)**2 + (12.3 * 53.9)**2),
np.sqrt((496.13 * 5.4)**2 + (54.3 * 24.75)**2),
np.sqrt((120.54 * 10.56)**2 + (91.3 * 6.4)**2),
]))
C_vec.convert('m3-km / s')
np.testing.assert_array_equal(C_vec.value, np.array([12.3 * 745.1, 54.3 * 496.13, 91.3 * 120.54]) / 1000 / 1000 / 60)
self.assertEqual(C_vec.unit, 'm3-km/s')
np.testing.assert_almost_equal(
C_vec.uncert,
np.array([
np.sqrt((745.1 / 1000 * 2.6 / 1000 / 60)**2 + (12.3 / 1000 / 60 * 53.9 / 1000)**2),
np.sqrt((496.13 / 1000 * 5.4 / 1000 / 60)**2 + (54.3 / 1000 / 60 * 24.75 / 1000)**2),
np.sqrt((120.54 / 1000 * 10.56 / 1000 / 60)**2 + (91.3 / 1000 / 60 * 6.4 / 1000)**2),
]), decimal=7)
def test_divide(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
C = A / B
self.assertAlmostEqual(C.value, 12.3 / 745.1)
self.assertEqual(C.unit, 'L/min-m')
self.assertAlmostEqual(C.uncert, np.sqrt((1 / 745.1 * 2.6)**2 + (12.3 / (745.1**2) * 53.9)**2))
C.convert('m3/h-mm')
self.assertAlmostEqual(C.value, 12.3 / 745.1 / 1000 * 60 / 1000)
self.assertEqual(C.unit, 'm3/h-mm')
self.assertAlmostEqual(C.uncert, np.sqrt((1 / (745.1 * 1000) * 2.6 / 1000 * 60)**2 + (12.3 / ((745.1)**2) * 53.9 / 1000 * 60 / 1000)**2))
C_vec = A_vec / B_vec
np.testing.assert_array_equal(C_vec.value, np.array([12.3 / 745.1, 54.3 / 496.13, 91.3 / 120.54]))
self.assertEqual(C_vec.unit, 'L/min-m')
np.testing.assert_array_equal(
C_vec.uncert,
np.array([
np.sqrt((1 / 745.1 * 2.6)**2 + (12.3 / (745.1)**2 * 53.9)**2),
np.sqrt((1 / 496.13 * 5.4)**2 + (54.3 / (496.13)**2 * 24.75)**2),
np.sqrt((1 / 120.54 * 10.56)**2 + (91.3 / (120.54)**2 * 6.4)**2),
]))
C_vec.convert('m3 / h -mm')
np.testing.assert_almost_equal(C_vec.value, np.array([12.3 / 745.1, 54.3 / 496.13, 91.3 / 120.54]) / 1000 * 60 / 1000)
self.assertEqual(C_vec.unit, 'm3/h-mm')
np.testing.assert_almost_equal(
C_vec.uncert,
np.array([
np.sqrt((1 / 745.1 * 2.6 / 1000 * 60 / 1000)**2 + (12.3 / (745.1)**2 * 53.9 / 1000 * 60 / 1000)**2),
np.sqrt((1 / 496.13 * 5.4 / 1000 * 60 / 1000)**2 + (54.3 / (496.13)**2 * 24.75 / 1000 * 60 / 1000)**2),
np.sqrt((1 / 120.54 * 10.56 / 1000 * 60 / 1000)**2 + (91.3 / (120.54)**2 * 6.4 / 1000 * 60 / 1000)**2),
]))
def test_add_unit_order(self):
A = variable(10, 'm-K')
B = variable(3, 'K-m')
A_vec = variable([12.3, 54.3, 91.3], 'K-m', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm-K', uncert=[53.9, 24.75, 6.4])
C = A + B
C_vec = A_vec + B_vec
def test_sub_unit_order(self):
A = variable(10, 'm-K')
B = variable(3, 'K-m')
A_vec = variable([12.3, 54.3, 91.3], 'K-m', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm-K', uncert=[53.9, 24.75, 6.4])
C = A - B
C_vec = A_vec - B_vec
def test_pow(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
C = variable(745.1, '1', uncert=53.9)
D = variable(0.34, '1', uncert=0.01)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
C_vec = variable([745.1, 496.13, 120.54], '1', uncert=[53.9, 24.75, 6.4])
D_vec = variable([0.34, 0.64, 0.87], '1', uncert=[0.01, 0.084, 0.12])
with self.assertRaises(Exception) as context:
A ** B
self.assertTrue('The exponent can not have a unit' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec ** B_vec
self.assertTrue('The exponent can not have a unit' in str(context.exception))
E = C**D
self.assertAlmostEqual(E.value, 745.1**0.34)
self.assertEqual(E.unit, '1')
self.assertAlmostEqual(E.uncert, np.sqrt((0.34 * 745.1**(0.34 - 1) * 53.9)**2 + (745.1**0.34 * np.log(745.1) * 0.01)**2))
E_vec = C_vec**D_vec
np.testing.assert_array_equal(E_vec.value, np.array([745.1**0.34, 496.13**0.64, 120.54**0.87]))
self.assertEqual(E_vec.unit, '1')
np.testing.assert_array_equal(
E_vec.uncert,
np.array([
np.sqrt((0.34 * 745.1**(0.34 - 1) * 53.9)**2 + (745.1**0.34 * np.log(745.1) * 0.01)**2),
np.sqrt((0.64 * 496.13**(0.64 - 1) * 24.75)**2 + (496.13**0.64 * np.log(496.13) * 0.084)**2),
np.sqrt((0.87 * 120.54**(0.87 - 1) * 6.4)**2 + (120.54**0.87 * np.log(120.54) * 0.12)**2)
]))
F = A**2
self.assertAlmostEqual(F.value, (12.3)**2)
self.assertEqual(F.unit, 'L2/min2')
self.assertAlmostEqual(F.uncert, np.sqrt((2 * 12.3**(2 - 1) * 2.6)**2))
F.convert('m6/s2')
self.assertAlmostEqual(F.value, (12.3 / 1000 / 60)**2)
self.assertEqual(F.unit, 'm6/s2')
self.assertAlmostEqual(F.uncert, np.sqrt((2 * (12.3 / 1000 / 60)**(2 - 1) * 2.6 / 1000 / 60)**2))
F_vec = A_vec**2
np.testing.assert_array_equal(F_vec.value, np.array([(12.3)**2, 54.3**2, 91.3**2]))
self.assertEqual(F_vec.unit, 'L2/min2')
np.testing.assert_array_equal(
F_vec.uncert,
np.array([
np.sqrt((2 * 12.3**(2 - 1) * 2.6)**2),
np.sqrt((2 * 54.3**(2 - 1) * 5.4)**2),
np.sqrt((2 * 91.3**(2 - 1) * 10.56)**2)
]))
F_vec.convert('m6 / s2')
np.testing.assert_almost_equal(F_vec.value, np.array([(12.3 / 1000 / 60)**2, (54.3 / 1000 / 60)**2, (91.3 / 1000 / 60)**2]))
self.assertEqual(F_vec.unit, 'm6/s2')
np.testing.assert_almost_equal(
F_vec.uncert,
np.array([
np.sqrt((2 * 12.3 / 1000 / 60**(2 - 1) * 2.6 / 1000 / 60)**2),
np.sqrt((2 * 54.3 / 1000 / 60**(2 - 1) * 5.4 / 1000 / 60)**2),
np.sqrt((2 * 91.3 / 1000 / 60**(2 - 1) * 10.56 / 1000 / 60)**2)
]))
G = 2.54**D
self.assertAlmostEqual(G.value, 2.54**0.34)
self.assertEqual(G.unit, '1')
self.assertAlmostEqual(G.uncert, np.sqrt((2.54**0.34 * np.log(2.54) * 0.01)**2))
G_vec = 2.54**D_vec
np.testing.assert_array_equal(G_vec.value, np.array([2.54**0.34, 2.54**0.64, 2.54**0.87]))
self.assertEqual(G_vec.unit, '1')
np.testing.assert_array_equal(
G_vec.uncert,
np.array([
2.54**0.34 * np.log(2.54) * 0.01,
2.54**0.64 * np.log(2.54) * 0.084,
2.54**0.87 * np.log(2.54) * 0.12
]))
def test_log(self):
A = variable(12.3, 'L/min', uncert=2.6)
C = variable(745.1, '1', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
C_vec = variable([745.1, 496.13, 120.54], '1', uncert=[53.9, 24.75, 6.4])
with self.assertRaises(Exception) as context:
np.log(A)
self.assertTrue('You can only take the natural log of a variable if it has no unit' in str(context.exception))
with self.assertRaises(Exception) as context:
np.log10(A)
self.assertTrue('You can only take the base 10 log of a variable if it has no unit' in str(context.exception))
with self.assertRaises(Exception) as context:
np.log(A_vec)
self.assertTrue('You can only take the natural log of a variable if it has no unit' in str(context.exception))
with self.assertRaises(Exception) as context:
np.log10(A_vec)
self.assertTrue('You can only take the base 10 log of a variable if it has no unit' in str(context.exception))
D = np.log(C)
self.assertAlmostEqual(D.value, np.log(745.1))
self.assertEqual(D.unit, '1')
self.assertAlmostEqual(D.uncert, np.sqrt((1 / 745.1) * 53.9)**2)
D_vec = np.log(C_vec)
np.testing.assert_array_equal(D_vec.value, np.array([np.log(745.1), np.log(496.13), np.log(120.54)]))
self.assertEqual(D_vec.unit, '1')
np.testing.assert_array_equal(
D_vec.uncert,
np.array([
np.sqrt(((1 / 745.1) * 53.9)**2),
np.sqrt(((1 / 496.13) * 24.75)**2),
np.sqrt(((1 / 120.54) * 6.4)**2)
]))
E = np.log10(C)
self.assertAlmostEqual(E.value, np.log10(745.1))
self.assertEqual(E.unit, '1')
self.assertAlmostEqual(E.uncert, np.sqrt((1 / (745.1 * np.log10(745.1))) * 53.9)**2)
E_vec = np.log10(C_vec)
np.testing.assert_array_equal(E_vec.value, np.array([np.log10(745.1), np.log10(496.13), np.log10(120.54)]))
self.assertEqual(E_vec.unit, '1')
np.testing.assert_array_equal(
E_vec.uncert,
np.array([
np.sqrt(((1 / (745.1 * np.log10(745.1))) * 53.9)**2),
np.sqrt(((1 / (496.13 * np.log10(496.13))) * 24.75)**2),
np.sqrt(((1 / (120.54 * np.log10(120.54))) * 6.4)**2)
]))
def test_exp(self):
A = variable(12.3, 'L/min', uncert=2.6)
C = variable(12.3, '1', uncert=5.39)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
C_vec = variable([12.3, 54.3, 91.3], '1', uncert=[2.6, 5.4, 10.56])
with self.assertRaises(Exception) as context:
np.exp(A)
self.assertTrue('The exponent can not have a unit' in str(context.exception))
with self.assertRaises(Exception) as context:
np.exp(A_vec)
self.assertTrue('The exponent can not have a unit' in str(context.exception))
D = np.exp(C)
self.assertAlmostEqual(D.value, np.e**12.3)
self.assertEqual(D.unit, '1')
self.assertAlmostEqual(D.uncert, np.sqrt((np.e**12.3 * np.log(np.e) * 5.39)**2))
D_vec = np.exp(C_vec)
np.testing.assert_array_equal(D_vec.value, np.array([np.e**12.3, np.e**54.3, np.e**91.3]))
self.assertEqual(D_vec.unit, '1')
np.testing.assert_array_equal(
D_vec.uncert,
np.array([
np.sqrt((np.e**12.3 * np.log(np.e) * 2.6)**2),
np.sqrt((np.e**54.3 * np.log(np.e) * 5.4)**2),
np.sqrt((np.e**91.3 * np.log(np.e) * 10.56)**2)
]))
def testIndex(self):
A = variable(12.3, 'L/min', uncert=2.6)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
a = A[0]
self.assertEqual(a.value, 12.3)
self.assertEqual(a.unit, 'L/min')
self.assertEqual(a.uncert, 2.6)
a_vec = A_vec[0, 1]
np.testing.assert_equal(a_vec.value, [12.3, 54.3])
self.assertEqual(a_vec.unit, 'L/min')
np.testing.assert_equal(a_vec.uncert, [2.6, 5.4])
a_vec = A_vec[0, 2]
np.testing.assert_equal(a_vec.value, [12.3, 91.3])
self.assertEqual(a_vec.unit, 'L/min')
np.testing.assert_equal(a_vec.uncert, [2.6, 10.56])
a_vec = A_vec[2, 0]
np.testing.assert_equal(a_vec.value, [91.3, 12.3])
self.assertEqual(a_vec.unit, 'L/min')
np.testing.assert_equal(a_vec.uncert, [10.56, 2.6])
with self.assertRaises(Exception) as context:
a = A[1]
self.assertTrue('index 1 is out of bounds for axis 0 with size 1' in str(context.exception))
with self.assertRaises(Exception) as context:
a = A[23]
self.assertTrue('index 23 is out of bounds for axis 0 with size 1' in str(context.exception))
def testAddEqual(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'L/min', uncert=53.9)
A += B
self.assertEqual(A.value, 12.3 + 745.1)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2))
A = variable(12.3, 'L/min', uncert=2.6)
A += 2
self.assertEqual(A.value, 12.3 + 2)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((1 * 2.6)**2))
A = variable(12.3, 'L/min', uncert=2.6)
B = 2
B += A
self.assertEqual(B.value, 2 + 12.3)
self.assertEqual(B.unit, 'L/min')
self.assertEqual(B.uncert, np.sqrt((1 * 2.6)**2))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'L/min', uncert=[53.9, 24.75, 6.4])
A_vec += B_vec
np.testing.assert_array_equal(A_vec.value, np.array([12.3 + 745.1, 54.3 + 496.13, 91.3 + 120.54]))
self.assertEqual(A_vec.unit, 'L/min')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2),
np.sqrt((1 * 5.4)**2 + (1 * 24.75)**2),
np.sqrt((1 * 10.56)**2 + (1 * 6.4)**2),
]))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
A = variable(12.3, 'L/min', uncert=2.6)
A_vec += A
np.testing.assert_array_equal(A_vec.value, np.array([12.3 + 12.3, 54.3 + 12.3, 91.3 + 12.3]))
self.assertEqual(A_vec.unit, 'L/min')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 2.6)**2),
np.sqrt((1 * 5.4)**2 + (1 * 2.6)**2),
np.sqrt((1 * 10.56)**2 + (1 * 2.6)**2),
]))
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
with self.assertRaises(Exception) as context:
A += B
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B += A
self.assertTrue('You tried to add a variable in [m] to a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec += B_vec
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B_vec += A_vec
self.assertTrue('You tried to add a variable in [m] to a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec += B
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B_vec += A
self.assertTrue('You tried to add a variable in [m] to a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A += B_vec
self.assertTrue('You tried to add a variable in [L/min] to a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B += A_vec
self.assertTrue('You tried to add a variable in [m] to a variable in [L/min], but the units does not match' in str(context.exception))
def testSubEqual(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'L/min', uncert=53.9)
A -= B
self.assertEqual(A.value, 12.3 - 745.1)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2))
A = variable(12.3, 'L/min', uncert=2.6)
A -= 2
self.assertEqual(A.value, 12.3 - 2)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((1 * 2.6)**2))
A = variable(12.3, 'L/min', uncert=2.6)
B = 2
B -= A
self.assertEqual(B.value, 2 - 12.3)
self.assertEqual(B.unit, 'L/min')
self.assertEqual(B.uncert, np.sqrt((1 * 2.6)**2))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'L/min', uncert=[53.9, 24.75, 6.4])
A_vec -= B_vec
np.testing.assert_array_equal(A_vec.value, np.array([12.3 - 745.1, 54.3 - 496.13, 91.3 - 120.54]))
self.assertEqual(A_vec.unit, 'L/min')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 53.9)**2),
np.sqrt((1 * 5.4)**2 + (1 * 24.75)**2),
np.sqrt((1 * 10.56)**2 + (1 * 6.4)**2),
]))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
A = variable(12.3, 'L/min', uncert=2.6)
A_vec -= A
np.testing.assert_array_equal(A_vec.value, np.array([12.3 - 12.3, 54.3 - 12.3, 91.3 - 12.3]))
self.assertEqual(A_vec.unit, 'L/min')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 * 2.6)**2 + (1 * 2.6)**2),
np.sqrt((1 * 5.4)**2 + (1 * 2.6)**2),
np.sqrt((1 * 10.56)**2 + (1 * 2.6)**2),
]))
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
with self.assertRaises(Exception) as context:
A -= B
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B -= A
self.assertTrue('You tried to subtract a variable in [L/min] from a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec -= B_vec
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B_vec -= A_vec
self.assertTrue('You tried to subtract a variable in [L/min] from a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A_vec -= B
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B_vec -= A
self.assertTrue('You tried to subtract a variable in [L/min] from a variable in [m], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
A -= B_vec
self.assertTrue('You tried to subtract a variable in [m] from a variable in [L/min], but the units does not match' in str(context.exception))
with self.assertRaises(Exception) as context:
B -= A_vec
self.assertTrue('You tried to subtract a variable in [L/min] from a variable in [m], but the units does not match' in str(context.exception))
def testMultiEqual(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A *= B
self.assertEqual(A.value, 12.3 * 745.1)
self.assertEqual(A.unit, 'L-m/min')
self.assertEqual(A.uncert, np.sqrt((745.1 * 2.6)**2 + (12.3 * 53.9)**2))
A = variable(12.3, 'L/min', uncert=2.6)
A *= 2
self.assertEqual(A.value, 12.3 * 2)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((2 * 2.6)**2))
A = variable(12.3, 'L/min', uncert=2.6)
B = 2
B *= A
self.assertEqual(B.value, 12.3 * 2)
self.assertEqual(B.unit, 'L/min')
self.assertEqual(B.uncert, np.sqrt((2 * 2.6)**2))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
A_vec *= B_vec
np.testing.assert_array_equal(A_vec.value, np.array([12.3 * 745.1, 54.3 * 496.13, 91.3 * 120.54]))
self.assertEqual(A_vec.unit, 'L-m/min')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((745.1 * 2.6)**2 + (12.3 * 53.9)**2),
np.sqrt((496.13 * 5.4)**2 + (54.3 * 24.75)**2),
np.sqrt((120.54 * 10.56)**2 + (91.3 * 6.4)**2),
]))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
A = variable(12.3, 'L/min', uncert=2.6)
A_vec *= A
np.testing.assert_array_equal(A_vec.value, np.array([12.3 * 12.3, 54.3 * 12.3, 91.3 * 12.3]))
self.assertEqual(A_vec.unit, 'L2/min2')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((12.3 * 2.6)**2 + (12.3 * 2.6)**2),
np.sqrt((12.3 * 5.4)**2 + (54.3 * 2.6)**2),
np.sqrt((12.3 * 10.56)**2 + (91.3 * 2.6)**2),
]))
def testDivEqual(self):
A = variable(12.3, 'L/min', uncert=2.6)
B = variable(745.1, 'm', uncert=53.9)
A /= B
self.assertEqual(A.value, 12.3 / 745.1)
self.assertEqual(A.unit, 'L/min-m')
self.assertEqual(A.uncert, np.sqrt((1 / 745.1 * 2.6)**2 + (12.3 / (745.1**2) * 53.9)**2))
A = variable(12.3, 'L/min', uncert=2.6)
A /= 2
self.assertEqual(A.value, 12.3 / 2)
self.assertEqual(A.unit, 'L/min')
self.assertEqual(A.uncert, np.sqrt((1 / 2 * 2.6)**2))
A = variable(12.3, 'L/min', uncert=2.6)
B = 2
B /= A
self.assertEqual(B.value, 2 / 12.3)
self.assertEqual(B.unit, 'min/L')
self.assertEqual(B.uncert, np.sqrt((2 / (12.3**2) * 2.6)**2))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
B_vec = variable([745.1, 496.13, 120.54], 'm', uncert=[53.9, 24.75, 6.4])
A_vec /= B_vec
np.testing.assert_array_equal(A_vec.value, np.array([12.3 / 745.1, 54.3 / 496.13, 91.3 / 120.54]))
self.assertEqual(A_vec.unit, 'L/min-m')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 / 745.1 * 2.6)**2 + (12.3 / (745.1**2) * 53.9)**2),
np.sqrt((1 / 496.13 * 5.4)**2 + (54.3 / (496.13**2) * 24.75)**2),
np.sqrt((1 / 120.54 * 10.56)**2 + (91.3 / (120.54**2) * 6.4)**2),
]))
A_vec = variable([12.3, 54.3, 91.3], 'L/min', uncert=[2.6, 5.4, 10.56])
A = variable(12.3, 'L/min', uncert=2.6)
A_vec /= A
np.testing.assert_array_equal(A_vec.value, np.array([12.3 / 12.3, 54.3 / 12.3, 91.3 / 12.3]))
self.assertEqual(A_vec.unit, '1')
np.testing.assert_array_equal(
A_vec.uncert,
np.array([
np.sqrt((1 / 12.3 * 2.6)**2 + (12.3 / (12.3**2) * 2.6)**2),
np.sqrt((1 / 12.3 * 5.4)**2 + (54.3 / (12.3**2) * 2.6)**2),
np.sqrt((1 / 12.3 * 10.56)**2 + (91.3 / (12.3**2) * 2.6)**2),
]))
def testPrintValueAndUncertScalar(self):
A = variable(123456789 * 10**(0), 'm', uncert=123456789 * 10**(-2), nDigits=3)
self.assertEqual(A.__str__(), '123000000 +/- 1000000 [m]')
A = variable(123456789 * 10**(-2), 'm', uncert=123456789 * 10**(-4), nDigits=3)
self.assertEqual(A.__str__(), '1230000 +/- 10000 [m]')
A = variable(123456789 * 10**(-4), 'm', uncert=123456789 * 10**(-6), nDigits=3)
self.assertEqual(A.__str__(), '12300 +/- 100 [m]')
A = variable(123456789 * 10**(-6), 'm', uncert=123456789 * 10**(-8), nDigits=3)
self.assertEqual(A.__str__(), '123 +/- 1 [m]')
A = variable(123456789 * 10**(-7), 'm', uncert=123456789 * 10**(-9), nDigits=3)
self.assertEqual(A.__str__(), '12.3 +/- 0.1 [m]')
A = variable(123456789 * 10**(-8), 'm', uncert=123456789 * 10**(-10), nDigits=3)
self.assertEqual(A.__str__(), '1.23 +/- 0.01 [m]')
A = variable(123456789 * 10**(-9), 'm', uncert=123456789 * 10**(-11), nDigits=3)
self.assertEqual(A.__str__(), '0.123 +/- 0.001 [m]')
A = variable(123456789 * 10**(-10), 'm', uncert=123456789 * 10**(-12), nDigits=3)
self.assertEqual(A.__str__(), '0.0123 +/- 0.0001 [m]')
A = variable(123456789 * 10**(-12), 'm', uncert=123456789 * 10**(-14), nDigits=3)
self.assertEqual(A.__str__(), '0.000123 +/- 1e-06 [m]')
A = variable(123456789 * 10**(-14), 'm', uncert=123456789 * 10**(-16), nDigits=3)
self.assertEqual(A.__str__(), '0.00000123 +/- 1e-08 [m]')
A = variable(123456789 * 10**(-16), 'm', uncert=123456789 * 10**(-18), nDigits=3)
self.assertEqual(A.__str__(), '0.0000000123 +/- 1e-10 [m]')
A = variable(10.0, 'm', uncert=0.1)
self.assertEqual(A.__str__(), '10.0 +/- 0.1 [m]')
def testPrintValueScalar(self):
A = variable(123456789 * 10**(0), 'm', nDigits=6)
self.assertEqual(A.__str__(), '1.23457e+08 [m]')
A = variable(123456789 * 10**(-2), 'm', nDigits=7)
self.assertEqual(A.__str__(), '1234568 [m]')
A = variable(123456789 * 10**(-4), 'm', nDigits=3)
self.assertEqual(A.__str__(), '1.23e+04 [m]')
A = variable(123456789 * 10**(-6), 'm', nDigits=3)
self.assertEqual(A.__str__(), '123 [m]')
A = variable(123456789 * 10**(-7), 'm', nDigits=3)
self.assertEqual(A.__str__(), '12.3 [m]')
A = variable(123456789 * 10**(-8), 'm', nDigits=3)
self.assertEqual(A.__str__(), '1.23 [m]')
A = variable(123456789 * 10**(-9), 'm', nDigits=2)
self.assertEqual(A.__str__(), '0.12 [m]')
A = variable(123456789 * 10**(-10), 'm', nDigits=3)
self.assertEqual(A.__str__(), '0.0123 [m]')
A = variable(123456789 * 10**(-12), 'm', nDigits=3)
self.assertEqual(A.__str__(), '0.000123 [m]')
A = variable(123456789 * 10**(-14), 'm', nDigits=5)
self.assertEqual(A.__str__(), '1.2346e-06 [m]')
A = variable(123456789 * 10**(-16), 'm', nDigits=3)
self.assertEqual(A.__str__(), '1.23e-08 [m]')
def testRoot(self):
A = variable(10, 'L2/min2')
a = np.sqrt(A)
self.assertEqual(a.value, np.sqrt(10))
self.assertEqual(a.unit, 'L/min')
a = A**(1 / 2)
self.assertEqual(a.value, 10**(1 / 2))
self.assertEqual(a.unit, 'L/min')
for i in range(1, 1000):
u = f'L{i+1}/min{i+1}'
A = variable(10, u)
power = 1 / (i + 1)
a = A**power
self.assertEqual(a.value, 10**(1 / (i + 1)))
self.assertEqual(a.unit, 'L/min')
scale = uniform(0.5, 0.99)
with self.assertRaises(Exception) as context:
A ** (power * scale)
self.assertTrue(f'You can not raise a variable with the unit {u} to the power of {power * scale}' in str(context.exception))
scale = uniform(1.01, 1.5)
with self.assertRaises(Exception) as context:
A ** (power * scale)
self.assertTrue(f'You can not raise a variable with the unit {u} to the power of {power * scale}' in str(context.exception))
A = variable(10, 'L2/m')
with self.assertRaises(Exception) as context:
np.sqrt(A)
self.assertTrue('You can not raise a variable with the unit L2/m to the power of 0.5' in str(context.exception))
def testLargerUncertThenValue(self):
A = variable(0.003, 'L/min', 0.2)
self.assertEqual(A.__str__(), '0.0 +/- 0.2 [L/min]')
A = variable(1, 'L/min', 10)
self.assertEqual(A.__str__(), '0 +/- 10 [L/min]')
A = variable(1, 'L/min', 2.3)
self.assertEqual(A.__str__(), '1 +/- 2 [L/min]')
A = variable(105, 'L/min', 135.653)
self.assertEqual(A.__str__(), '100 +/- 100 [L/min]')
A = variable(10.5, 'L/min', 135.653)
self.assertEqual(A.__str__(), '0 +/- 100 [L/min]')
A = variable(0.0543, 'L/min', 0.07)
self.assertEqual(A.__str__(), '0.05 +/- 0.07 [L/min]')
A = variable(0.0543, 'L/min', 0.7)
self.assertEqual(A.__str__(), '0.0 +/- 0.7 [L/min]')
def testUnitless(self):
with self.assertRaises(Exception) as context:
A = variable(10, 'P', 1)
self.assertTrue('The unit (P) was not found. Therefore it was interpreted as a prefix and a unit. However the prefix (P) was not found' in str(context.exception))
A = variable(10, '1', 1)
self.assertEqual(A.value, 10)
self.assertEqual(A.unit, '1')
self.assertEqual(A.uncert, 1)
A = variable(10, '', 1)
self.assertEqual(A.value, 10)
self.assertEqual(A.unit, '1')
self.assertEqual(A.uncert, 1)
def testPrettyPrint(self):
a = variable(12.3, 'm')
b = variable(12.3, 'm', 2.5)
c = variable([12.3, 56.2], 'm')
d = variable([12.3, 56.2], 'm', [2.5, 7.3])
self.assertEqual(a.__str__(pretty=False), '12.3 [m]')
self.assertEqual(b.__str__(pretty=False), '12 +/- 2 [m]')
self.assertEqual(c.__str__(pretty=False), '[12.3, 56.2] [m]')
self.assertEqual(d.__str__(pretty=False), '[12, 56] +/- [2, 7] [m]')
self.assertEqual(a.__str__(pretty=True), '12.3\\ \\left [m\\right ]')
self.assertEqual(b.__str__(pretty=True), '12 \pm 2\\ \\left [m\\right ]')
self.assertEqual(c.__str__(pretty=True), '[12.3, 56.2]\\ \\left [m\\right ]')
self.assertEqual(d.__str__(pretty=True), '[12, 56] \pm [2, 7]\\ \\left [m\\right ]')
if __name__ == '__main__':
unittest.main()
| 44.179978
| 170
| 0.534627
| 6,429
| 39,276
| 3.191321
| 0.033598
| 0.021641
| 0.066286
| 0.025735
| 0.887459
| 0.848272
| 0.812351
| 0.740459
| 0.709168
| 0.68509
| 0
| 0.150216
| 0.274391
| 39,276
| 888
| 171
| 44.22973
| 0.569704
| 0
| 0
| 0.49101
| 0
| 0.031812
| 0.116432
| 0
| 0
| 0
| 0
| 0
| 0.42462
| 1
| 0.031812
| false
| 0
| 0.006916
| 0
| 0.040111
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| null | 0
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| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
1ef9dd4fa7ce3feeb1cc569ea300161209c50e85
| 36
|
py
|
Python
|
src/latest/__init__.py
|
laffra/Tempo
|
a80be869617c7ad6573a02f5e609f01c397e7aaa
|
[
"BSD-2-Clause"
] | 1
|
2020-02-11T18:49:18.000Z
|
2020-02-11T18:49:18.000Z
|
src/latest/__init__.py
|
laffra/Tempo
|
a80be869617c7ad6573a02f5e609f01c397e7aaa
|
[
"BSD-2-Clause"
] | null | null | null |
src/latest/__init__.py
|
laffra/Tempo
|
a80be869617c7ad6573a02f5e609f01c397e7aaa
|
[
"BSD-2-Clause"
] | null | null | null |
import main
def run():
main.run()
| 9
| 12
| 0.638889
| 6
| 36
| 3.833333
| 0.666667
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| 0.194444
| 36
| 4
| 12
| 9
| 0.793103
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| 1
| 0.333333
| true
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| 0.333333
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| 0.666667
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| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
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| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4803862847c9d6d1226a4e4e3747308e0fc970e8
| 231
|
py
|
Python
|
lytrax_afm/__init__.py
|
boyank/afm-python
|
dca18a68dcf3604d352d715d69c1e6d919003c3b
|
[
"MIT"
] | null | null | null |
lytrax_afm/__init__.py
|
boyank/afm-python
|
dca18a68dcf3604d352d715d69c1e6d919003c3b
|
[
"MIT"
] | null | null | null |
lytrax_afm/__init__.py
|
boyank/afm-python
|
dca18a68dcf3604d352d715d69c1e6d919003c3b
|
[
"MIT"
] | null | null | null |
__author__ = 'lytrax'
from ._validation import validate_afm
from ._generation import generate_afm, generate_valid_afm, generate_invalid_afm
__all__ = ['validate_afm', 'generate_afm', 'generate_valid_afm', 'generate_invalid_afm']
| 33
| 88
| 0.818182
| 29
| 231
| 5.758621
| 0.413793
| 0.329341
| 0.227545
| 0.287425
| 0.538922
| 0.538922
| 0.538922
| 0.538922
| 0
| 0
| 0
| 0
| 0.090909
| 231
| 6
| 89
| 38.5
| 0.795238
| 0
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| 1
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| 0.294372
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
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| 0.5
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| null | 1
| 1
| 1
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| null | 0
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| 1
| 0
| 0
| 0
|
0
| 7
|
481bce0f976e0b6232173522fef34beb310e50a6
| 20,608
|
py
|
Python
|
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/Pmv/VisionInterface/APBSIsoContour_net.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | 8
|
2021-12-14T21:30:01.000Z
|
2022-02-14T11:30:03.000Z
|
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/Pmv/VisionInterface/APBSIsoContour_net.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | null | null | null |
resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/Pmv/VisionInterface/APBSIsoContour_net.py
|
J-E-J-S/aaRS-Pipeline
|
43f59f28ab06e4b16328c3bc405cdddc6e69ac44
|
[
"MIT"
] | null | null | null |
## Automatically adapted for numpy.oldnumeric Jul 23, 2007 by
########################################################################
#
# Vision Network - Python source code - file generated by vision
# Wednesday 11 April 2007 13:25:04
#
# The Scripps Research Institute (TSRI)
# Molecular Graphics Lab
# La Jolla, CA 92037, USA
#
# Copyright: Daniel Stoffler, Michel Sanner and TSRI
#
# revision: Guillaume Vareille
#
#########################################################################
#
# $Header: /opt/cvs/python/packages/share1.5/Pmv/VisionInterface/APBSIsoContour_net.py,v 1.41 2009/09/30 21:06:46 vareille Exp $
#
# $Id: APBSIsoContour_net.py,v 1.41 2009/09/30 21:06:46 vareille Exp $
#
from traceback import print_exc
## loading libraries ##
from Pmv.VisionInterface.PmvNodes import pmvlib
masterNet.getEditor().addLibraryInstance(pmvlib,"Pmv.VisionInterface.PmvNodes", "pmvlib")
from Vision.StandardNodes import stdlib
masterNet.getEditor().addLibraryInstance(stdlib,"Vision.StandardNodes", "stdlib")
from Volume.VisionInterface.VolumeNodes import vollib
masterNet.getEditor().addLibraryInstance(vollib,"Volume.VisionInterface.VolumeNodes", "vollib")
from DejaVu.VisionInterface.DejaVuNodes import vizlib
masterNet.getEditor().addLibraryInstance(vizlib,"DejaVu.VisionInterface.DejaVuNodes", "vizlib")
try:
## saving node VolumeStats ##
from Volume.VisionInterface.VolumeNodes import VolumeStats
VolumeStats_1 = VolumeStats(constrkw = {}, name='VolumeStats', library=vollib)
masterNet.addNode(VolumeStats_1,271,173)
except:
print "WARNING: failed to restore VolumeStats named VolumeStats in network masterNet"
print_exc()
VolumeStats_1=None
try:
## saving node GenSurf ##
from Vision.StandardNodes import Generic
GenSurf_2 = Generic(constrkw = {}, name='GenSurf', library=stdlib)
masterNet.addNode(GenSurf_2,411,235)
apply(GenSurf_2.addInputPort, (), {'name': 'value', 'cast': True, 'datatype': 'float', 'height': 12, 'width': 12, 'shape': 'circle', 'color': 'green'})
apply(GenSurf_2.addInputPort, (), {'name': 'geom1', 'cast': True, 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
apply(GenSurf_2.addOutputPort, (), {'name': 'out0', 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
apply(GenSurf_2.addOutputPort, (), {'name': 'out1', 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
code = """def doit(self, value, geom1):
geom1.inheritMaterial = False
geom1.inheritFrontPolyMode = False
# geom1.inheritBackPolyMode = False
from opengltk.OpenGL import GL
geom1.frontPolyMode = GL.GL_FILL
# geom1.backPolyMode = GL.GL_FILL
R = 0.
B = 0.
if value < 0:
R = 1.
else:
B = 1
geom1.Set( depthMask = 1)
geom1.SetMaterial([(0.0,0.0,0.0,0.0),],2)
geom1.SetMaterial([(0.9,0.9,0.9,1.0),],3)
geom1.Set(materials=[(R,0.,B,0.8),])
# geom1.Set(culling='None')
# if hasattr(self, 'Label') and # hasattr(self.Label, 'viewer') and # hasattr(self.Label.viewer, 'RemoveObject'):
# self.Label.viewer.RemoveObject(self.Label)
from DejaVu.glfSticker import Sticker
self.Label = Sticker(name='LeftLabel',
label=str(value)[0:7],
position=(0, 1),
anchor=(0, 1),
frameSpace=(2.,.5),
frameColor=(R,0,B,.8),
fontColor=(1,1,1,1),
framePolygonMode=GL.GL_FILL,
immediateRendering=True, # just to make sure it's on top of other transparencies
transparent=True,
)
self.outputData(out0=geom1, out1=self.Label)
## to ouput data on port out1 use
## self.outputData(out1=data)
"""
GenSurf_2.configure(function=code)
except:
print "WARNING: failed to restore Generic named GenSurf in network masterNet"
print_exc()
GenSurf_2=None
try:
## saving node GenSurf ##
from Vision.StandardNodes import Generic
GenSurf_3 = Generic(constrkw = {}, name='GenSurf', library=stdlib)
masterNet.addNode(GenSurf_3,67,243)
apply(GenSurf_3.addInputPort, (), {'name': 'value', 'cast': True, 'datatype': 'float', 'height': 12, 'width': 12, 'shape': 'circle', 'color': 'green'})
apply(GenSurf_3.addInputPort, (), {'name': 'geom1', 'cast': True, 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
apply(GenSurf_3.addOutputPort, (), {'name': 'out0', 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
apply(GenSurf_3.addOutputPort, (), {'name': 'out1', 'datatype': 'geom', 'height': 8, 'width': 12, 'shape': 'rect', 'color': 'red'})
code = """def doit(self, value, geom1):
geom1.inheritMaterial = False
geom1.inheritFrontPolyMode = False
geom1.inheritBackPolyMode = False
geom1.inheritCulling = False
from opengltk.OpenGL import GL
# geom1.frontPolyMode = GL.GL_FILL
geom1.backPolyMode = GL.GL_FILL
R = 0.
B = 0.
if value < 0:
R = 1.
else:
B = 1
geom1.Set( depthMask = 1)
geom1.SetMaterial([(0.0,0.0,0.0,0.0),],2)
geom1.SetMaterial([(0.9,0.9,0.9,1.0),],3)
geom1.Set(culling='front')
geom1.Set(materials=[(R,0.,B,0.8),],)
# if hasattr(self,'Label') and # hasattr(self.Label,'viewer') and # hasattr(self.Label.viewer,'RemoveObject'):
# self.Label.viewer.RemoveObject(self.Label)
from DejaVu.glfSticker import Sticker
self.Label = Sticker( name='RightLabel',
label=str(value)[0:7],
position=(1, 1),
anchor=(1, 1),
frameSpace=(2., .5),
frameColor=(R,0,B,.8),
fontColor=(1,1,1,1),
framePolygonMode=GL.GL_FILL,
immediateRendering=True, # just to make sure it's on top of other transparencies
transparent=True,
)
self.outputData(out0=geom1,out1 = self.Label )
## to ouput data on port out1 use
## self.outputData(out1=data)
"""
GenSurf_3.configure(function=code)
except:
print "WARNING: failed to restore Generic named GenSurf in network masterNet"
print_exc()
GenSurf_3=None
try:
## saving node -polygons ##
from DejaVu.VisionInterface.GeometryNodes import IndexedPolygonsNE
_polygons_4 = IndexedPolygonsNE(constrkw = {}, name='-polygons', library=vizlib)
masterNet.addNode(_polygons_4,15,105)
_polygons_4.inputPortByName['name'].widget.set("", run=False)
except:
print "WARNING: failed to restore IndexedPolygonsNE named -polygons in network masterNet"
print_exc()
_polygons_4=None
try:
## saving node +polygons ##
from DejaVu.VisionInterface.GeometryNodes import IndexedPolygonsNE
_polygons_5 = IndexedPolygonsNE(constrkw = {}, name='+polygons', library=vizlib)
masterNet.addNode(_polygons_5,403,124)
_polygons_5.inputPortByName['name'].widget.set("", run=False)
except:
print "WARNING: failed to restore IndexedPolygonsNE named +polygons in network masterNet"
print_exc()
_polygons_5=None
try:
## saving node Pmv Viewer ##
from Pmv.VisionInterface.PmvNodes import PmvViewer
Pmv_Viewer_6 = PmvViewer(viewer=masterNet.editor.vf.GUI.VIEWER, constrkw = {'viewer': 'masterNet.editor.vf.GUI.VIEWER'}, name='Pmv Viewer', library=pmvlib)
masterNet.addNode(Pmv_Viewer_6,256,312)
state = {'localViewer': False, 'twoSide': 0, 'ambient': (0.20000000000000001, 0.20000000000000001, 0.20000000000000001, 1.0)}
apply(Pmv_Viewer_6.vi.lightModel.Set, (), state)
except:
print "WARNING: failed to restore PmvViewer named Pmv Viewer in network masterNet"
print_exc()
Pmv_Viewer_6=None
try:
## saving node Left_Isocontour ##
from Volume.VisionInterface.VolumeNodes import Isocontour
Left_Isocontour_7 = Isocontour(constrkw = {}, name='Left_Isocontour', library=vollib)
masterNet.addNode(Left_Isocontour_7,35,38)
apply(Left_Isocontour_7.addOutputPort, (), {'name': 'isovalue', 'datatype': 'float', 'height': 12, 'width': 12, 'shape': 'circle', 'color': 'green'})
apply(Left_Isocontour_7.inputPortByName['isovalue'].widget.configure, (), {'max': 401.27560424804688, 'min': -556.299072265625})
Left_Isocontour_7.inputPortByName['isovalue'].widget.set(-1.0, run=False)
Left_Isocontour_7.inputPortByName['calculatesignatures'].widget.set(1, run=False)
code = """def doit(self, grid3D, isovalue, calculatesignatures, verbosity):
from UTpackages.UTisocontour import isocontour
if verbosity is not None and verbosity!=self.verbosity:
isocontour.setVerboseLevel(verbosity)
self.verbosity = verbosity
#return
data = grid3D.data
if self.inputPortByName['grid3D'].hasNewValidData():
origin = Numeric.array(grid3D.origin).astype('f')
stepsize = Numeric.array(grid3D.stepSize).astype('f')
# add 1 dimension for time steps amd 1 for multiple variables
if data.dtype.char!=Numeric.Float32:
print 'converting from ', data.dtype.char
data = data.astype('f')#Numeric.Float32)
self.newgrid3D = Numeric.ascontiguousarray(Numeric.reshape( Numeric.transpose(data),
(1, 1)+tuple(data.shape) ), data.dtype.char)
# destroy the ConDataset structure
if self.data:
isocontour.delDatasetReg(self.data)
self.data = isocontour.newDatasetRegFloat3D( self.newgrid3D, origin, stepsize)
w = self.inputPortByName['isovalue'].widget
if w and grid3D is not None:
mymin, mymax, mymean, mystdev = grid3D.stats()
if (isinstance(mymin, Numeric.ArrayType)) and (mymin.shape == () ):
mymin = mymin[0]
if (isinstance(mymax, Numeric.ArrayType)) and (mymax.shape == () ):
mymax = mymax[0]
w.widget.setMin(mymin)
w.widget.setMax(mymax)
#print 'isovalue in doit():', isovalue
if (isovalue < mymin) or (isovalue > mymax):
isovalue = mymean
w.widget.set( isovalue )
warnings.warn('%s: isovalue was outside data range, isovalue is now set to the mean'%self.name)
if self.data:
isoc = isocontour.getContour3d(self.data, 0, 0, isovalue,
isocontour.NO_COLOR_VARIABLE)
vert = Numeric.zeros((isoc.nvert,3)).astype('f')
norm = Numeric.zeros((isoc.nvert,3)).astype('f')
col = Numeric.zeros((isoc.nvert)).astype('f')
tri = Numeric.zeros((isoc.ntri,3)).astype('i')
isocontour.getContour3dData(isoc, vert, norm, col, tri, 0)
if grid3D.crystal:
vert = grid3D.crystal.toCartesian(vert)
self.outputData(coords=vert, indices=tri, normals=-norm, isovalue=isovalue)
"""
Left_Isocontour_7.configure(function=code)
except:
print "WARNING: failed to restore Isocontour named Left_Isocontour in network masterNet"
print_exc()
Left_Isocontour_7=None
try:
## saving node Right_Isocontour ##
from Volume.VisionInterface.VolumeNodes import Isocontour
Right_Isocontour_8 = Isocontour(constrkw = {}, name='Right_Isocontour', library=vollib)
masterNet.addNode(Right_Isocontour_8,517,34)
apply(Right_Isocontour_8.addOutputPort, (), {'name': 'isovalue', 'datatype': 'float', 'height': 12, 'width': 12, 'shape': 'circle', 'color': 'green'})
apply(Right_Isocontour_8.inputPortByName['isovalue'].widget.configure, (), {'max': 401.27560424804688, 'min': -556.299072265625})
Right_Isocontour_8.inputPortByName['isovalue'].widget.set(1.0, run=False)
Right_Isocontour_8.inputPortByName['calculatesignatures'].widget.set(1, run=False)
code = """def doit(self, grid3D, isovalue,
calculatesignatures=None, verbosity=None):
from UTpackages.UTisocontour import isocontour
if verbosity is not None and verbosity!=self.verbosity:
isocontour.setVerboseLevel(verbosity)
self.verbosity = verbosity
#return
data = grid3D.data
if self.inputPortByName['grid3D'].hasNewValidData():
origin = Numeric.array(grid3D.origin).astype('f')
stepsize = Numeric.array(grid3D.stepSize).astype('f')
# add 1 dimension for time steps amd 1 for multiple variables
if data.dtype.char!=Numeric.Float32:
print 'converting from ', data.dtype.char
data = data.astype('f')#Numeric.Float32)
self.newgrid3D = Numeric.ascontiguousarray(Numeric.reshape( Numeric.transpose(data),
(1, 1)+tuple(data.shape) ), data.dtype.char)
# destroy the ConDataset structure
if self.data:
isocontour.delDatasetReg(self.data)
self.data = isocontour.newDatasetRegFloat3D( self.newgrid3D, origin, stepsize)
w = self.inputPortByName['isovalue'].widget
if w and grid3D is not None:
mymin, mymax, mymean, mystdev = grid3D.stats()
if (isinstance(mymin, Numeric.ArrayType)) and (mymin.shape == () ):
mymin = mymin[0]
if (isinstance(mymax, Numeric.ArrayType)) and (mymax.shape == () ):
mymax = mymax[0]
w.widget.setMin(mymin)
w.widget.setMax(mymax)
#print 'isovalue in doit():', isovalue
if (isovalue < mymin) or (isovalue > mymax):
isovalue = mymean
w.widget.set( isovalue )
warnings.warn('%s: isovalue was outside data range, isovalue is now set to the mean'%self.name)
if self.data:
isoc = isocontour.getContour3d(self.data, 0, 0, isovalue,
isocontour.NO_COLOR_VARIABLE)
vert = Numeric.zeros((isoc.nvert,3)).astype('f')
norm = Numeric.zeros((isoc.nvert,3)).astype('f')
col = Numeric.zeros((isoc.nvert)).astype('f')
tri = Numeric.zeros((isoc.ntri,3)).astype('i')
isocontour.getContour3dData(isoc, vert, norm, col, tri, 0)
if grid3D.crystal:
vert = grid3D.crystal.toCartesian(vert)
self.outputData(coords=vert, indices=tri, normals=norm, isovalue=isovalue)
"""
Right_Isocontour_8.configure(function=code)
except:
print "WARNING: failed to restore Isocontour named Right_Isocontour in network masterNet"
print_exc()
Right_Isocontour_8=None
try:
## saving node Pmv Grids ##
from Volume.VisionInterface.VolumeNodes import PmvGridChooser
Pmv_Grids_9 = PmvGridChooser(constrkw = {}, name='Pmv Grids', library=vollib)
masterNet.addNode(Pmv_Grids_9,200,9)
apply(Pmv_Grids_9.configure, (), {'expanded': True})
except:
print "WARNING: failed to restore PmvGridChooser named Pmv Grids in network masterNet"
print_exc()
Pmv_Grids_9=None
masterNet.freeze()
## saving connections for network APBSIsoContour ##
if GenSurf_2 is not None and Pmv_Viewer_6 is not None:
try:
masterNet.connectNodes(
GenSurf_2, Pmv_Viewer_6, "out0", "geometries", blocking=True)
except:
print "WARNING: failed to restore connection between GenSurf_2 and Pmv_Viewer_6 in network masterNet"
if GenSurf_2 is not None and Pmv_Viewer_6 is not None:
try:
masterNet.connectNodes(
GenSurf_2, Pmv_Viewer_6, "out1", "geometries", blocking=True)
except:
print "WARNING: failed to restore connection between GenSurf_2 and Pmv_Viewer_6 in network masterNet"
if Left_Isocontour_7 is not None and _polygons_4 is not None:
try:
masterNet.connectNodes(
Left_Isocontour_7, _polygons_4, "coords", "coords", blocking=True)
except:
print "WARNING: failed to restore connection between Left_Isocontour_7 and _polygons_4 in network masterNet"
if Left_Isocontour_7 is not None and _polygons_4 is not None:
try:
masterNet.connectNodes(
Left_Isocontour_7, _polygons_4, "indices", "indices", blocking=True)
except:
print "WARNING: failed to restore connection between Left_Isocontour_7 and _polygons_4 in network masterNet"
if Left_Isocontour_7 is not None and _polygons_4 is not None:
try:
masterNet.connectNodes(
Left_Isocontour_7, _polygons_4, "normals", "vnormals", blocking=True)
except:
print "WARNING: failed to restore connection between Left_Isocontour_7 and _polygons_4 in network masterNet"
if GenSurf_3 is not None and Pmv_Viewer_6 is not None:
try:
masterNet.connectNodes(
GenSurf_3, Pmv_Viewer_6, "out0", "geometries", blocking=True)
except:
print "WARNING: failed to restore connection between GenSurf_3 and Pmv_Viewer_6 in network masterNet"
if GenSurf_3 is not None and Pmv_Viewer_6 is not None:
try:
masterNet.connectNodes(
GenSurf_3, Pmv_Viewer_6, "out1", "geometries", blocking=True)
except:
print "WARNING: failed to restore connection between GenSurf_3 and Pmv_Viewer_6 in network masterNet"
if Right_Isocontour_8 is not None and _polygons_5 is not None:
try:
masterNet.connectNodes(
Right_Isocontour_8, _polygons_5, "coords", "coords", blocking=True)
except:
print "WARNING: failed to restore connection between Right_Isocontour_8 and _polygons_5 in network masterNet"
if Right_Isocontour_8 is not None and _polygons_5 is not None:
try:
masterNet.connectNodes(
Right_Isocontour_8, _polygons_5, "indices", "indices", blocking=True)
except:
print "WARNING: failed to restore connection between Right_Isocontour_8 and _polygons_5 in network masterNet"
if Right_Isocontour_8 is not None and _polygons_5 is not None:
try:
masterNet.connectNodes(
Right_Isocontour_8, _polygons_5, "normals", "vnormals", blocking=True)
except:
print "WARNING: failed to restore connection between Right_Isocontour_8 and _polygons_5 in network masterNet"
if _polygons_4 is not None and GenSurf_3 is not None:
try:
masterNet.connectNodes(
_polygons_4, GenSurf_3, "indexedPolygons", "geom1", blocking=True)
except:
print "WARNING: failed to restore connection between _polygons_4 and GenSurf_3 in network masterNet"
if Left_Isocontour_7 is not None and GenSurf_3 is not None:
try:
masterNet.connectNodes(
Left_Isocontour_7, GenSurf_3, "isovalue", "value", blocking=True)
except:
print "WARNING: failed to restore connection between Left_Isocontour_7 and GenSurf_3 in network masterNet"
if _polygons_5 is not None and GenSurf_2 is not None:
try:
masterNet.connectNodes(
_polygons_5, GenSurf_2, "indexedPolygons", "geom1", blocking=True)
except:
print "WARNING: failed to restore connection between _polygons_5 and GenSurf_2 in network masterNet"
if Right_Isocontour_8 is not None and GenSurf_2 is not None:
try:
masterNet.connectNodes(
Right_Isocontour_8, GenSurf_2, "isovalue", "value", blocking=True)
except:
print "WARNING: failed to restore connection between Right_Isocontour_8 and GenSurf_2 in network masterNet"
if Pmv_Grids_9 is not None and Left_Isocontour_7 is not None:
try:
masterNet.connectNodes(
Pmv_Grids_9, Left_Isocontour_7, "grid", "grid3D", blocking=True)
except:
print "WARNING: failed to restore connection between Pmv_Grids_9 and Left_Isocontour_7 in network masterNet"
if Pmv_Grids_9 is not None and Right_Isocontour_8 is not None:
try:
masterNet.connectNodes(
Pmv_Grids_9, Right_Isocontour_8, "grid", "grid3D", blocking=True)
except:
print "WARNING: failed to restore connection between Pmv_Grids_9 and Right_Isocontour_8 in network masterNet"
if Pmv_Grids_9 is not None and VolumeStats_1 is not None:
try:
masterNet.connectNodes(
Pmv_Grids_9, VolumeStats_1, "grid", "grid", blocking=True)
except:
print "WARNING: failed to restore connection between Pmv_Grids_9 and VolumeStats_1 in network masterNet"
masterNet.unfreeze()
#masterNet.run()
| 44.70282
| 159
| 0.651495
| 2,471
| 20,608
| 5.316876
| 0.130312
| 0.014462
| 0.026031
| 0.047496
| 0.842442
| 0.812909
| 0.782539
| 0.764652
| 0.755518
| 0.722865
| 0
| 0.038338
| 0.229183
| 20,608
| 460
| 160
| 44.8
| 0.788732
| 0.041246
| 0
| 0.659574
| 1
| 0.021277
| 0.585921
| 0.140328
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.053191
| null | null | 0.106383
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
484141a5f5d24161261164621d438929fb429c82
| 496
|
py
|
Python
|
spotdl/metadata/exceptions.py
|
Sigill/spotify-downloader
|
f65f2f97a10e46b7528f8a1666be30eac6de8a73
|
[
"MIT"
] | null | null | null |
spotdl/metadata/exceptions.py
|
Sigill/spotify-downloader
|
f65f2f97a10e46b7528f8a1666be30eac6de8a73
|
[
"MIT"
] | null | null | null |
spotdl/metadata/exceptions.py
|
Sigill/spotify-downloader
|
f65f2f97a10e46b7528f8a1666be30eac6de8a73
|
[
"MIT"
] | null | null | null |
class MetadataNotFoundError(Exception):
__module__ = Exception.__module__
def __init__(self, message=None):
super().__init__(message)
class SpotifyMetadataNotFoundError(MetadataNotFoundError):
__module__ = Exception.__module__
def __init__(self, message=None):
super().__init__(message)
class YouTubeMetadataNotFoundError(MetadataNotFoundError):
__module__ = Exception.__module__
def __init__(self, message=None):
super().__init__(message)
| 23.619048
| 58
| 0.741935
| 42
| 496
| 7.619048
| 0.285714
| 0.1875
| 0.196875
| 0.225
| 0.715625
| 0.715625
| 0.715625
| 0.715625
| 0.715625
| 0.715625
| 0
| 0
| 0.167339
| 496
| 20
| 59
| 24.8
| 0.774818
| 0
| 0
| 0.75
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
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| 0.75
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| 0
| null | 0
| 1
| 1
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| 1
| 1
| 1
| 1
| 1
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| 0
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| 0
| 0
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| 0
| 0
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| 1
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
4842475a32cf8d7c934daa91abe32a5844699f5b
| 25,243
|
py
|
Python
|
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/lag/iosxe/addremove.py
|
kecorbin/genielibs
|
5d3951b8911013691822e73e9c3d0f557ca10f43
|
[
"Apache-2.0"
] | null | null | null |
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/lag/iosxe/addremove.py
|
kecorbin/genielibs
|
5d3951b8911013691822e73e9c3d0f557ca10f43
|
[
"Apache-2.0"
] | null | null | null |
pkgs/sdk-pkg/src/genie/libs/sdk/triggers/addremove/lag/iosxe/addremove.py
|
kecorbin/genielibs
|
5d3951b8911013691822e73e9c3d0f557ca10f43
|
[
"Apache-2.0"
] | null | null | null |
'''IOSXE Implementation for Lag addremove triggers'''
# python
from functools import partial
# import genie.libs
from genie.libs.sdk.libs.utils.mapping import Mapping
from genie.libs.sdk.triggers.addremove.addremove import TriggerAddRemove
from genie.libs.sdk.libs.abstracted_libs.iosxe.processors import check_interface_counters
# ATS
from ats import aetest
from ats.utils.objects import NotExists, Not
# Which key to exclude for ACL Ops comparison
lag_exclude = ['maker', 'counters', 'system_priority']
interface_exclude = ['maker', 'last_change','in_rate','in_rate_pkts',
'out_rate', 'out_rate_pkts', 'in_octets',
'in_pkts', 'in_unicast_pkts', 'out_octets',
'out_pkts', 'out_unicast_pkts', 'out_multicast_pkts',
'in_multicast_pkts', 'last_clear', 'in_broadcast_pkts',
'out_broadcast_pkts', 'in_errors', '(Tunnel.*)', 'status',
'accounting']
class TriggerAddRemoveTrunkEtherchannelLacp(TriggerAddRemove):
"""Apply the Etherchannel in LACP mode, and remove the
added Etherchannel in LACP mode
"""
__description__ = """Apply the Etherchannel in LACP mode, and remove the
added Etherchannel in LACP mode.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
steps:
1. Learn Interface Ops object to select trunk interfaces.
Learn LAG ops object to find port-channle interfaces which does not have
the learned interfaces as memebers.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of Etherchannel in LACP mode with interface Conf object
4. Verify the interfaces are in the por-channle interfaces from step 3 has configured
5. Remove the Etherchannel configurations.
6. Recover the device configurations to the one in step 2
7. Learn LAG Ops again and verify it is the same as the Ops in step 1
"""
# The added new values
BUNDLE_ID = 10
BUNDLE_ID_INTF = 'Port-channel' + str(BUNDLE_ID)
@aetest.processors(post=[partial(check_interface_counters, ports=[BUNDLE_ID_INTF],
keys = [['interface', BUNDLE_ID_INTF, 'out', 'ucast_pkts', '(.*)']],
threshold='islargerthan(100)')])
@aetest.test
def verify_configuration(self, uut, abstract, steps):
super().verify_configuration(uut, abstract, steps)
mapping = Mapping(requirements={'ops.lag.lag.Lag':{
'requirements': [['info', 'interfaces', NotExists({BUNDLE_ID_INTF})],
[NotExists('info')]],
'all_keys': True,
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_mode', 'trunk'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up']],
'kwargs': {'attributes': ['info[(.*)][switchport_mode]',
'info[(.*)][enabled]',
'info[(.*)][oper_status]',
'info[(.*)][port_channel]']},
'exclude': interface_exclude}},
config_info={'conf.interface.Interface':{
'requirements':[['lag_bundle_id', BUNDLE_ID],
['lag_activity', 'active']],
'verify_conf':False,
'kwargs':{'mandatory':{'name': '(?P<intf>.*)',
'attach': False}}}},
verify_ops={'ops.lag.lag.Lag':{
'requirements': [\
['info', 'interfaces', BUNDLE_ID_INTF,
'bundle_id', BUNDLE_ID],
['info', 'interfaces', BUNDLE_ID_INTF,
'protocol', 'lacp'],
['info', 'interfaces', BUNDLE_ID_INTF,
'oper_status', 'up'],
['info', 'interfaces', BUNDLE_ID_INTF,
'name', 'Port-channel10'],
['info', 'interfaces', BUNDLE_ID_INTF,
'members', '(?P<intf>.*)', 'bundled', True]],
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_mode', 'trunk'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'port_channel', 'port_channel_member', True],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'port_channel', 'port_channel_int', BUNDLE_ID_INTF],
['info', BUNDLE_ID_INTF,
'oper_status', 'up'],
['info', BUNDLE_ID_INTF,
'enabled', True],
['info', BUNDLE_ID_INTF,
'oper_status', 'up'],
['info', BUNDLE_ID_INTF,
'port_channel', 'port_channel_member', True],
['info', BUNDLE_ID_INTF,
'port_channel', 'port_channel_member_intfs', '(.*)'],
['info', BUNDLE_ID_INTF,
'switchport_enable', True],
['info', BUNDLE_ID_INTF,
'switchport_mode', 'trunk'],],
'kwargs': {'attributes': ['info']},
'exclude': interface_exclude}},
num_values={'intf':'all', 'bundle_id': 1})
class TriggerAddRemoveAccessEtherchannelPagp(TriggerAddRemove):
"""Apply the Etherchannel in PAGP mode, and remove the
added Etherchannel in PAGP mode
"""
__description__ = """Apply the Etherchannel in PAGP mode, and remove the
added Etherchannel in PAGP mode.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
steps:
1. Learn Interface Ops object to select trunk interfaces.
Learn LAG ops object to find port-channle interfaces which does not have
the learned interfaces as memebers.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of Etherchannel in PAGP mode with interface Conf object
4. Verify the interfaces are in the por-channle interfaces from step 3 has configured
5. Remove the Etherchannel configurations.
6. Recover the device configurations to the one in step 2
7. Learn LAG Ops again and verify it is the same as the Ops in step 1
"""
BUNDLE_ID = 10
BUNDLE_ID_INTF = 'Port-channel' + str(BUNDLE_ID)
mapping = Mapping(requirements={'ops.lag.lag.Lag':{
'requirements':[\
['info', 'interfaces', NotExists(BUNDLE_ID_INTF)],
[NotExists('info')]],
'all_keys': True,
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_mode', 'static access'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up']],
'kwargs': {'attributes': ['info[(.*)][switchport_mode]',
'info[(.*)][enabled]',
'info[(.*)][oper_status]',
'info[(.*)][port_channel]']},
'exclude': interface_exclude}},
config_info={'conf.interface.Interface':{
'requirements':[['lag_bundle_id', BUNDLE_ID],
['lag_activity', 'desirable']],
'verify_conf':False,
'kwargs':{'mandatory':{'name': '(?P<intf>.*)',
'attach': False}}}},
verify_ops={'ops.lag.lag.Lag':{
'requirements': [\
['info', 'interfaces', BUNDLE_ID_INTF,
'bundle_id', BUNDLE_ID],
['info', 'interfaces', BUNDLE_ID_INTF,
'protocol', 'pagp'],
['info', 'interfaces', BUNDLE_ID_INTF,
'oper_status', 'up'],
['info', 'interfaces', BUNDLE_ID_INTF,
'name', 'Port-channel10'],
['info', 'interfaces', BUNDLE_ID_INTF,
'members', '(?P<intf>.*)', 'bundled', True]],
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_mode', 'static access'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up'],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'port_channel', 'port_channel_member', True],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'port_channel', 'port_channel_int', BUNDLE_ID_INTF],
['info', BUNDLE_ID_INTF,
'oper_status', 'up'],
['info', BUNDLE_ID_INTF,
'enabled', True],
['info', BUNDLE_ID_INTF,
'port_channel', 'port_channel_member', True],
['info', BUNDLE_ID_INTF,
'port_channel', 'port_channel_member_intfs', '(.*)'],
['info', BUNDLE_ID_INTF,
'switchport_mode', 'static access']],
'kwargs': {'attributes': ['info']},
'exclude': interface_exclude}},
num_values={'intf':'all', 'bundle_id': 1})
class TriggerAddRemoveL3EtherchannelPagp(TriggerAddRemove):
"""Apply the configuration for L3 Etherchannel in PAGP mode, and remove the
added Etherchannel in PAGP mode
"""
__description__ = """Apply the configuration for L3 Etherchannel in PAGP mode, and remove the
added Etherchannel in PAGP mode.
trigger_datafile:
Mandatory:
timeout:
max_time (`int`): Maximum wait time for the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
method (`str`): Method to recover the device configuration,
Support methods:
'checkpoint': Rollback the configuration by
checkpoint (nxos),
archive file (iosxe),
load the saved running-config file on disk (iosxr)
Optional:
tgn_timeout (`int`): Maximum wait time for all traffic threads to be
restored to the reference rate,
in second. Default: 60
tgn_delay (`int`): Wait time between each poll to verify if traffic is resumed,
in second. Default: 10
timeout_recovery:
Buffer recovery timeout make sure devices are recovered at the end
of the trigger execution. Used when previous timeouts have been exhausted.
max_time (`int`): Maximum wait time for the last step of the trigger,
in second. Default: 180
interval (`int`): Wait time between iterations when looping is needed,
in second. Default: 15
steps:
1. Learn Interface Ops object to select up interfaces.
Learn LAG ops object to find port-channle interfaces which does not exists.
2. Save the current device configurations through "method" which user uses
3. Add the configuration of Etherchannel in PAGP mode with interface Conf object,
Add ip address configuration to the learned port-channel interfaces
4. Verify the interfaces are in the por-channle interfaces from step 3 has configured
5. Remove the Etherchannel and port-channel configurations.
6. Recover the device configurations to the one in step 2
7. Learn LAG Ops again and verify it is the same as the Ops in step 1
"""
counters_port = []
counters_keys = [['interface', '(?P<bundle_intf>.*)', 'out', 'ucast_pkts', '(.*)']]
@aetest.processors(post=[partial(check_interface_counters, ports=counters_port,
keys =counters_keys, threshold='islargerthan(100)')])
@aetest.test
def verify_configuration(self, uut, abstract, steps):
super().verify_configuration(uut, abstract, steps)
mapping = Mapping(requirements={'ops.lag.lag.Lag':{
'requirements':[\
['info', 'interfaces', '(?P<bundle_intf>.*)', NotExists('members')],
['info', 'interfaces', '(?P<bundle_intf>.*)', 'bundle_id', '(?P<bundle_id>.*)']],
'all_keys': True,
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_enable', False],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up']],
'kwargs': {'attributes': ['info[(.*)][switchport_enable]',
'info[(.*)][operational_mode]',
'info[(.*)][oper_status]',
'info[(.*)][enabled]',
'info[(.*)][port_channel]']},
'exclude': interface_exclude}},
config_info={'conf.interface.Interface':{
'requirements':[['lag_bundle_id', '(?P<bundle_id>.*)'],
['lag_activity', 'desirable']],
'verify_conf':False,
'kwargs':{'mandatory':{'name': '(?P<intf>.*)',
'attach': False}}}},
verify_ops={'ops.lag.lag.Lag':{
'requirements': [\
['info', 'interfaces', '(?P<bundle_intf>.*)',
'bundle_id', '(?P<bundle_id>.*)'],
['info', 'interfaces', '(?P<bundle_intf>.*)',
'protocol', 'pagp'],
['info', 'interfaces', '(?P<bundle_intf>.*)',
'oper_status', 'up'],
['info', 'interfaces', '(?P<bundle_intf>.*)',
'name', '(?P<bundle_intf>.*)'],
['info', 'interfaces', '(?P<bundle_intf>.*)',
'members', '(?P<intf>.*)', 'bundled', True]],
'kwargs':{'attributes':['info[interfaces][(.*)]']},
'exclude': lag_exclude + ['attribute']},
'ops.interface.interface.Interface':{
'requirements':[['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'switchport_enable', False],
['info', '(?P<intf>\w+Ethernet[\d\/]+$)',
'oper_status', 'up'],
['info', '(?P<bundle_intf>.*)',
'oper_status', 'up'],
['info', '(?P<bundle_intf>.*)',
'enabled', True],
['info', '(?P<bundle_intf>.*)',
'oper_status', 'up'],
['info', '(?P<bundle_intf>.*)',
'port_channel', 'port_channel_member', True],
['info', '(?P<bundle_intf>.*)',
'port_channel', 'port_channel_member_intfs', '(.*)']],
'kwargs': {'attributes': ['info[(.*)][switchport_enable]',
'info[(.*)][operational_mode]',
'info[(.*)][oper_status]',
'info[(.*)][enabled]',
'info[(.*)][port_channel]']},
'exclude': interface_exclude}},
num_values={'intf':'all', 'bundle_id': 1})
| 66.428947
| 129
| 0.38894
| 1,860
| 25,243
| 5.13172
| 0.123656
| 0.042745
| 0.037716
| 0.016763
| 0.891671
| 0.87407
| 0.868308
| 0.864955
| 0.853222
| 0.845783
| 0
| 0.007429
| 0.509409
| 25,243
| 380
| 130
| 66.428947
| 0.763324
| 0.01644
| 0
| 0.85241
| 0
| 0
| 0.460629
| 0.052347
| 0
| 0
| 0
| 0
| 0
| 1
| 0.006024
| false
| 0
| 0.018072
| 0
| 0.069277
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
486e6ba6c3b8d2c1ea34cda749f4b03c0199a42a
| 3,161
|
py
|
Python
|
common/constants/pieces.py
|
sk364/prosfair
|
bb16dd19aee9804b0a1b239b00ff99e285d7fd96
|
[
"MIT"
] | null | null | null |
common/constants/pieces.py
|
sk364/prosfair
|
bb16dd19aee9804b0a1b239b00ff99e285d7fd96
|
[
"MIT"
] | null | null | null |
common/constants/pieces.py
|
sk364/prosfair
|
bb16dd19aee9804b0a1b239b00ff99e285d7fd96
|
[
"MIT"
] | null | null | null |
from common import rules
PIECE_NAME_MAP = {
"p": "Pawn",
"r": "Rook",
"n": "Knight",
"b": "Bishop",
"q": "Queen",
"k": "King"
}
PIECE_PRIORITY_MAP = {
"b": 3,
"k": 0,
"n": 3,
"p": 1,
"q": 9,
"r": 5
}
PIECE_SQUARE_MAP = {
"p": [
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0],
[1.0, 1.0, 2.0, 3.0, 3.0, 2.0, 1.0, 1.0],
[0.5, 0.5, 1.0, 2.5, 2.5, 1.0, 0.5, 0.5],
[0.0, 0.0, 0.0, 2.0, 2.0, 0.0, 0.0, 0.0],
[0.5, -0.5, -1.0, 0.0, 0.0, -1.0, -0.5, 0.5],
[0.5, 1.0, 1.0, -2.0, -2.0, 1.0, 1.0, 0.5],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
],
"n": [
[-5.0, -4.0, -3.0, -3.0, -3.0, -3.0, -4.0, -5.0],
[-4.0, -2.0, 0.0, 0.0, 0.0, 0.0, -2.0, -4.0],
[-3.0, 0.0, 1.0, 1.5, 1.5, 1.0, 0.0, -3.0],
[-3.0, 0.5, 1.5, 2.0, 2.0, 1.5, 0.5, -3.0],
[-3.0, 0.0, 1.5, 2.0, 2.0, 1.5, 0.0, -3.0],
[-3.0, 0.5, 1.0, 1.5, 1.5, 1.0, 0.5, -3.0],
[-4.0, -2.0, 0.0, 0.5, 0.5, 0.0, -2.0, -4.0],
[-5.0, -4.0, -3.0, -3.0, -3.0, -3.0, -4.0, -5.0]
],
"b": [
[ -2.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -2.0],
[ -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0],
[ -1.0, 0.0, 0.5, 1.0, 1.0, 0.5, 0.0, -1.0],
[ -1.0, 0.5, 0.5, 1.0, 1.0, 0.5, 0.5, -1.0],
[ -1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, -1.0],
[ -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0],
[ -1.0, 0.5, 0.0, 0.0, 0.0, 0.0, 0.5, -1.0],
[ -2.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -2.0]
],
"r": [
[ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[ 0.5, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5],
[ -0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5],
[ -0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5],
[ -0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5],
[ -0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5],
[ -0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5],
[ 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0]
],
"q": [
[ -2.0, -1.0, -1.0, -0.5, -0.5, -1.0, -1.0, -2.0],
[ -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0],
[ -1.0, 0.0, 0.5, 0.5, 0.5, 0.5, 0.0, -1.0],
[ -0.5, 0.0, 0.5, 0.5, 0.5, 0.5, 0.0, -0.5],
[ 0.0, 0.0, 0.5, 0.5, 0.5, 0.5, 0.0, -0.5],
[ -1.0, 0.5, 0.5, 0.5, 0.5, 0.5, 0.0, -1.0],
[ -1.0, 0.0, 0.5, 0.0, 0.0, 0.0, 0.0, -1.0],
[ -2.0, -1.0, -1.0, -0.5, -0.5, -1.0, -1.0, -2.0]
],
"k": [
[ -3.0, -4.0, -4.0, -5.0, -5.0, -4.0, -4.0, -3.0],
[ -3.0, -4.0, -4.0, -5.0, -5.0, -4.0, -4.0, -3.0],
[ -3.0, -4.0, -4.0, -5.0, -5.0, -4.0, -4.0, -3.0],
[ -3.0, -4.0, -4.0, -5.0, -5.0, -4.0, -4.0, -3.0],
[ -2.0, -3.0, -3.0, -4.0, -4.0, -3.0, -3.0, -2.0],
[ -1.0, -2.0, -2.0, -2.0, -2.0, -2.0, -2.0, -1.0],
[ 2.0, 2.0, 0.0, 0.0, 0.0, 0.0, 2.0, 2.0 ],
[ 2.0, 3.0, 1.0, 0.0, 0.0, 1.0, 3.0, 2.0 ]
]
}
PIECE_RULE_METHODS = {
"p": rules.legal_pawn_moves,
"r": rules.legal_rook_moves,
"k": rules.legal_king_moves,
"q": rules.legal_queen_moves,
"b": rules.legal_bishop_moves,
"n": rules.legal_knight_moves
}
| 34.358696
| 55
| 0.330592
| 844
| 3,161
| 1.214455
| 0.037915
| 0.478049
| 0.559024
| 0.616585
| 0.745366
| 0.737561
| 0.725854
| 0.714146
| 0.687805
| 0.602927
| 0
| 0.353748
| 0.307814
| 3,161
| 91
| 56
| 34.736264
| 0.114717
| 0
| 0
| 0.206897
| 0
| 0
| 0.016767
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.011494
| 0
| 0.011494
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
6fdd78ed787c41f73f35046880e7d80f952e40c8
| 6,745
|
py
|
Python
|
odin/compute/numpy.py
|
Anderssorby/odin
|
844dd2ec32a7c3e15959c86ad93659e7de131064
|
[
"MIT"
] | null | null | null |
odin/compute/numpy.py
|
Anderssorby/odin
|
844dd2ec32a7c3e15959c86ad93659e7de131064
|
[
"MIT"
] | null | null | null |
odin/compute/numpy.py
|
Anderssorby/odin
|
844dd2ec32a7c3e15959c86ad93659e7de131064
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from progress.bar import ChargingBar
from scipy import linalg as LA
from .base import ComputationInterface
# noinspection PyUnresolvedReferences
class Numpy(ComputationInterface):
def __init__(self):
super(Numpy, self).__init__()
self.cuda = None
self.using_gpu = False
def update_args(self, args):
super(Numpy, self).update_args(args)
if self.args.gpu >= 0:
print("Getting GPU")
from chainer import cuda
self.cuda = cuda
cuda.get_device(self.args.gpu).use()
self.xp = cuda.cupy
self.using_gpu = True
else:
import numpy as np
self.xp = np
def calc_block_inter_layer_covariance(self, model_wrapper, use_training_data=True, batch_size=100, **options):
model = model_wrapper.model
is_chainer = model_wrapper.model_type == "chainer"
if self.using_gpu and is_chainer:
model.to_gpu()
xp = self.xp
train, test = model_wrapper.dataset
data_x = train if use_training_data else test
if is_chainer:
data_x = xp.moveaxis(data_x, -1, 0)[0]
else:
data_x = data_x[0]
data_x = xp.stack(data_x, axis=0)
data_size = len(data_x)
if batch_size > 0:
perm = xp.random.permutation(data_size)
data_x = data_x[perm[0:batch_size]]
data_size = batch_size
compute_batch_size = 100
if is_chainer:
model.train = False
# perm = xp.random.permutation(data_size)
full_mean = []
cov = []
test_num = 0
bar = ChargingBar("Calculating inter layer covariance", max=data_size)
for batch in range(0, data_size, compute_batch_size):
test_num += 1
# ind_tmp = perm[batch:batch + batch_size] xp.asarray(, dtype=xp.float32)
x = data_x[batch:batch + compute_batch_size]
layer_outputs = model_wrapper.get_layer_outputs(x)
for i, layer_out in enumerate(layer_outputs):
if is_chainer:
layer_out = layer_out.data
# tmp_mean = xp.mean(layer_out, axis=0)
# tmp_cov = xp.einsum("a,b->ab", layer_out.ravel(), layer_out.ravel())
tmp_cov = None
for fxi in layer_out:
fxi = fxi.ravel()
dot = xp.outer(fxi, fxi)
if tmp_cov is None:
tmp_cov = dot
else:
tmp_cov += dot
bar.next()
if batch == 0:
full_mean.append(tmp_mean)
cov.append(tmp_cov)
else:
# full_mean[i] += tmp_mean
cov[i] += tmp_cov
logging.debug("Computed covariance for batch %d of size %d" % (batch, compute_batch_size))
bar.finish()
bar = ChargingBar("Calculating eigen values", max=len(cov))
eigen_values = []
for j in range(len(cov)):
cov[j] = cov[j] / test_num
if self.using_gpu:
tmp_cov_ma = self.cuda.to_cpu(cov[j])
else:
tmp_cov_ma = cov[j]
eigs = LA.eigvals(tmp_cov_ma)
eigen_values.append(eigs)
bar.next()
bar.finish()
# Saving
self.store_elements({
"cov": cov,
"eigen_values": eigen_values,
}, group_name="inter_layer_covariance", model_wrapper=model_wrapper)
def calc_inter_layer_covariance(self, model_wrapper, use_training_data=True, batch_size=100, **options):
model = model_wrapper.model
is_chainer = model_wrapper.model_type == "chainer"
if self.using_gpu and is_chainer:
model.to_gpu()
xp = self.xp
train, test = model_wrapper.dataset
data_x = train if use_training_data else test
if is_chainer:
data_x = xp.moveaxis(data_x, -1, 0)[0]
else:
data_x = data_x[0]
data_x = xp.stack(data_x, axis=0)
data_size = len(data_x)
if batch_size and batch_size > 0:
perm = xp.random.permutation(data_size)
data_x = data_x[perm[0:batch_size]]
data_size = batch_size
compute_batch_size = 100
if is_chainer:
model.train = False
# perm = xp.random.permutation(data_size)
# full_mean = []
cov = []
test_num = 0
bar = ChargingBar("Calculating inter layer covariance", max=data_size)
for batch in range(0, data_size, compute_batch_size):
test_num += 1
# ind_tmp = perm[batch:batch + batch_size] xp.asarray(, dtype=xp.float32)
x = data_x[batch:batch + compute_batch_size]
layer_outputs = model_wrapper.get_layer_outputs(x)
for i, layer_out in enumerate(layer_outputs):
if is_chainer:
layer_out = layer_out.data
# tmp_mean = xp.mean(layer_out, axis=0)
# tmp_cov = xp.einsum("a,b->ab", layer_out.ravel(), layer_out.ravel())
tmp_cov = None
for fxi in layer_out:
fxi = fxi.ravel()
dot = xp.outer(fxi, fxi)
if tmp_cov is None:
tmp_cov = dot
else:
tmp_cov += dot
bar.next()
if batch == 0:
# full_mean.append(tmp_mean)
cov.append(tmp_cov)
else:
# full_mean[i] += tmp_mean
cov[i] += tmp_cov
logging.debug("Computed covariance for batch %d of size %d" % (batch, compute_batch_size))
bar.finish()
bar = ChargingBar("Calculating eigen values", max=len(cov))
eigen_values = []
for j in range(len(cov)):
cov[j] = cov[j] / test_num
if self.using_gpu:
tmp_cov_ma = self.cuda.to_cpu(cov[j])
else:
tmp_cov_ma = cov[j]
eigs = LA.eigvals(tmp_cov_ma)
eigen_values.append(eigs)
bar.next()
bar.finish()
# Saving
self.store_elements({
"cov": cov,
"eigen_values": eigen_values,
}, group_name="inter_layer_covariance", model_wrapper=model_wrapper)
| 30.246637
| 114
| 0.540252
| 827
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| 0.834114
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| 0.834114
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| 0
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| 6,745
| 222
| 115
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| 0.007181
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| 1
| 0.02649
| false
| 0
| 0.066225
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| 0.099338
| 0.013245
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
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| 1
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| 0
| 0
|
0
| 7
|
d201abaeab339b584fb28109bb5a33dedaf3e960
| 9,029
|
py
|
Python
|
tests/test_03_auth_handlers.py
|
zentarim/abfd
|
10e86f58f0f779a4d02e07afa5f527447dfa1cd1
|
[
"MIT"
] | null | null | null |
tests/test_03_auth_handlers.py
|
zentarim/abfd
|
10e86f58f0f779a4d02e07afa5f527447dfa1cd1
|
[
"MIT"
] | null | null | null |
tests/test_03_auth_handlers.py
|
zentarim/abfd
|
10e86f58f0f779a4d02e07afa5f527447dfa1cd1
|
[
"MIT"
] | null | null | null |
from bfd.proto import *
from bfd.bfd_session import BFDSession
from bfd.misc import *
from bfd.auth_handlers import *
from bfd.auth_handlers import _chk_seq, _chk_mseq
from bfd.exceptions import *
from bfd.bfd import msg_factory
from bfd.const import *
from typing import Dict, Type, Optional
import pytest
import logging
from contextlib import contextmanager
from pytest import raises as _raises
Exc = Optional[Type[Exception]]
@contextmanager
def raises(exception: Exc = None):
if exception:
with _raises(exception):
yield
else:
yield
@pytest.mark.parametrize("msg_seq, sess_seq, detect_mult, retval", [
(100, 100, 2, True),
(101, 100, 2, True),
(100+2*3, 100, 2, True),
(100+2*3+1, 100, 2, False),
(99, 100, 2, False),
(MAX32, 1, 2, False),
(2*3, MAX32, 2, True)
])
def test_chk_seq(msg_seq: int, sess_seq: int, detect_mult: int, retval: bool):
# arrange
# act
res: bool = _chk_seq(msg_seq, sess_seq, detect_mult)
logging.info("msg_seq: %s, sess_seq: %s, detect_mult: %s, retval: %s, res: %s" %
(msg_seq, sess_seq, detect_mult, retval, res))
# assert
assert res == retval
@pytest.mark.parametrize("msg_seq, sess_seq, detect_mult, retval", [
(100, 100, 2, False),
(101, 100, 2, True),
(100+2*3, 100, 2, True),
(100+2*3+1, 100, 2, False),
(99, 100, 2, False),
(MAX32, 1, 2, False),
(2*3, MAX32, 2, True)
])
def test_chk_mseq(msg_seq: int, sess_seq: int, detect_mult: int, retval: bool):
# arrange
# act
res: bool = _chk_mseq(msg_seq, sess_seq, detect_mult)
logging.info("msg_seq: %s, sess_seq: %s, detect_mult: %s, retval: %s, res: %s" %
(msg_seq, sess_seq, detect_mult, retval, res))
# assert
assert res == retval
@pytest.mark.parametrize("data, handler_cls", [
({"auth_type": "simple", "key_id": 123, "passwd": "werty"}, SimpleAuthHandler),
({"auth_type": "key_md5", "key_id": 123, "passwd": "werty"}, KeyMD5AuthHandler),
({"auth_type": "mkey_md5", "key_id": 123, "passwd": "werty"}, MKeyMD5AuthHandler),
({"auth_type": "key_sha1", "key_id": 123, "passwd": "werty"}, KeySHA1AuthHandler),
({"auth_type": "mkey_sha1", "key_id": 123, "passwd": "werty"}, MKeySHA1AuthHandler)
])
def test_factory(data: Dict[str, str or int], handler_cls: AuthHandlerCls):
# arrange
# act
obj: AuthHandlerObj = AuthHandlerFactory(**data)
logging.info(obj)
# assert
assert type(obj) is handler_cls
def test_simple_add():
# arrange
passwd: bytes = b"123456"
key_id: int = 1
msg_in: CtlPacket = CtlPacket()
auth_in: SimpleAuth = SimpleAuth(key_id, passwd)
auth_handler: SimpleAuthHandler = SimpleAuthHandler(key_id, passwd)
# act
data: bytearray = auth_handler.add_auth(msg_in)
logging.info(hr_bytes(data))
msg_out, auth_out = msg_factory(data)
# assert
assert msg_in == msg_out
assert auth_in == auth_out
@pytest.mark.parametrize("hkey_id, hpasswd, mkey_id, mpasswd, exc", [
(100, b'password', 100, b'password', None),
(100, b'password', 110, b'password', BadAuth),
(100, b'password', 100, b'12121212', BadAuth),
])
def test_simple_check(hkey_id: int, hpasswd: bytes, mkey_id: int, mpasswd: bytes, exc: Exc):
# arrange
sess: BFDSession = BFDSession("127.0.0.1", 1)
msg: CtlPacket = CtlPacket()
mdata: memoryview = memoryview(bytearray(bytes(msg)))
auth: SimpleAuth = SimpleAuth(mkey_id, mpasswd)
auth_handler: SimpleAuthHandler = SimpleAuthHandler(hkey_id, hpasswd)
# act
with raises(exc):
auth_handler.check_auth(auth, mdata, sess)
# assert
def test_simple_md5key_add():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("6f d7 e5 2e 65 2e 4d bb a4 a7 a9 fe 61 df af d2")
key_id: int = 1
seq_num: int = 100
msg_in: CtlPacket = CtlPacket()
auth_in: KeyMD5Auth = KeyMD5Auth(key_id, seq_num, _hash)
auth_handler: KeyMD5AuthHandler = KeyMD5AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
# act
data: bytearray = auth_handler.add_auth(msg_in)
logging.info(hr_bytes(data))
msg_out, auth_out = msg_factory(data)
logging.info(hr_bytes(auth_out.hash))
# assert
assert msg_in == msg_out
assert auth_in == auth_out
def test_simple_md5key_check():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("6f d7 e5 2e 65 2e 4d bb a4 a7 a9 fe 61 df af d2")
key_id: int = 1
seq_num: int = 100
sess: BFDSession = BFDSession("127.0.0.1", 1)
msg_in: CtlPacket = CtlPacket()
auth_in: KeyMD5Auth = KeyMD5Auth(key_id, seq_num, _hash)
auth_handler: KeyMD5AuthHandler = KeyMD5AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
data: bytes = bytes(auth_handler.add_auth(msg_in))
mdata: memoryview = memoryview(bytearray(data))
# act
auth_handler.check_auth(auth_in, mdata, sess)
# assert
assert auth_handler.seq_num == seq_num
def test_md5mkey_add():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("78 12 8b fe 57 cc ca 68 ed d8 5d 35 66 1f 60 5a")
key_id: int = 1
seq_num: int = 100
msg_in: CtlPacket = CtlPacket()
auth_in: MKeyMD5Auth = MKeyMD5Auth(key_id, seq_num, _hash)
auth_handler: MKeyMD5AuthHandler = MKeyMD5AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
# act
data: bytearray = auth_handler.add_auth(msg_in)
logging.info(hr_bytes(data))
msg_out, auth_out = msg_factory(data)
logging.info(hr_bytes(auth_out.hash))
# assert
assert msg_in == msg_out
assert auth_in == auth_out
def test_md5mkey_check():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("78 12 8b fe 57 cc ca 68 ed d8 5d 35 66 1f 60 5a")
key_id: int = 1
seq_num: int = 100
sess: BFDSession = BFDSession("127.0.0.1", 1)
msg_in: CtlPacket = CtlPacket()
auth_in: MKeyMD5Auth = MKeyMD5Auth(key_id, seq_num, _hash)
auth_handler: MKeyMD5AuthHandler = MKeyMD5AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
data: bytes = bytes(auth_handler.add_auth(msg_in))
mdata: memoryview = memoryview(bytearray(data))
# act
auth_handler.check_auth(auth_in, mdata, sess)
# assert
assert auth_handler.seq_num == seq_num + 1
def test_sha1key_add():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("76 4c b8 e0 e3 5e b2 bb f2 46 13 b1 f2 12 1c 7c ed 70 ba 8b")
key_id: int = 1
seq_num: int = 100
msg_in: CtlPacket = CtlPacket()
auth_in: KeySHA1Auth = KeySHA1Auth(key_id, seq_num, _hash)
auth_handler: KeySHA1AuthHandler = KeySHA1AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
# act
data: bytearray = auth_handler.add_auth(msg_in)
logging.info(hr_bytes(data))
msg_out, auth_out = msg_factory(data)
logging.info(hr_bytes(auth_out.hash))
# assert
assert msg_in == msg_out
assert auth_in == auth_out
def test_sha1key_check():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("76 4c b8 e0 e3 5e b2 bb f2 46 13 b1 f2 12 1c 7c ed 70 ba 8b")
key_id: int = 1
seq_num: int = 100
sess: BFDSession = BFDSession("127.0.0.1", 1)
msg_in: CtlPacket = CtlPacket()
auth_in: KeySHA1Auth = KeySHA1Auth(key_id, seq_num, _hash)
auth_handler: KeySHA1AuthHandler = KeySHA1AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
data: bytes = bytes(auth_handler.add_auth(msg_in))
mdata: memoryview = memoryview(bytearray(data))
# act
auth_handler.check_auth(auth_in, mdata, sess)
# assert
assert auth_handler.seq_num == seq_num
def test_sha1mkey_add():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("f3 dd a7 4d 1b 50 99 4f 18 2d 65 55 cc 2f 6c d6 7a 24 39 d0")
key_id: int = 1
seq_num: int = 100
msg_in: CtlPacket = CtlPacket()
auth_in: MKeySHA1Auth = MKeySHA1Auth(key_id, seq_num, _hash)
auth_handler: MKeySHA1AuthHandler = MKeySHA1AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
# act
data: bytearray = auth_handler.add_auth(msg_in)
logging.info(hr_bytes(data))
msg_out, auth_out = msg_factory(data)
logging.info(hr_bytes(auth_out.hash))
# assert
assert msg_in == msg_out
assert auth_in == auth_out
def test_sha1mkey_check():
# arrange
passwd: bytes = b"123456"
_hash: bytes = tobytes("f3 dd a7 4d 1b 50 99 4f 18 2d 65 55 cc 2f 6c d6 7a 24 39 d0")
key_id: int = 1
seq_num: int = 100
sess: BFDSession = BFDSession("127.0.0.1", 1)
msg_in: CtlPacket = CtlPacket()
auth_in: MKeySHA1Auth = MKeySHA1Auth(key_id, seq_num, _hash)
auth_handler: MKeySHA1AuthHandler = MKeySHA1AuthHandler(key_id, passwd)
auth_handler.seq_num = seq_num
data: bytes = bytes(auth_handler.add_auth(msg_in))
mdata: memoryview = memoryview(bytearray(data))
# act
auth_handler.check_auth(auth_in, mdata, sess)
# assert
assert auth_handler.seq_num == seq_num + 1
| 33.690299
| 92
| 0.672943
| 1,340
| 9,029
| 4.30597
| 0.130597
| 0.041594
| 0.029116
| 0.035355
| 0.784749
| 0.767938
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| 0.732582
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| 0
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| 0.210987
| 9,029
| 268
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| 33.690299
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| false
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0
| 7
|
d22312c6a61bbbf89e2efbe610c72d94f882bf30
| 75,296
|
py
|
Python
|
functions/effects_functions.py
|
mtasa-typescript/mtasa-wiki-dump
|
edea1746850fb6c99d6155d1d7891e2cceb33a5c
|
[
"MIT"
] | null | null | null |
functions/effects_functions.py
|
mtasa-typescript/mtasa-wiki-dump
|
edea1746850fb6c99d6155d1d7891e2cceb33a5c
|
[
"MIT"
] | 1
|
2021-02-24T21:50:18.000Z
|
2021-02-24T21:50:18.000Z
|
functions/effects_functions.py
|
mtasa-typescript/mtasa-wiki-dump
|
edea1746850fb6c99d6155d1d7891e2cceb33a5c
|
[
"MIT"
] | null | null | null |
# Autogenerated file. ANY CHANGES WILL BE OVERWRITTEN
from to_python.core.types import FunctionType, \
FunctionArgument, \
FunctionArgumentValues, \
FunctionReturnTypes, \
FunctionSignature, \
FunctionDoc, \
FunctionData, \
CompoundFunctionData
DUMP_PARTIAL = [
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='createEffect',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['effect'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='name',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='x',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='y',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='z',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='rX',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value=None,
)
],
[
FunctionArgument(
name='rY',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value=None,
)
],
[
FunctionArgument(
name='rZ',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value=None,
)
],
[
FunctionArgument(
name='drawDistance',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='0',
)
],
[
FunctionArgument(
name='soundEnable',
argument_type=FunctionType(
names=['bool'],
is_optional=True,
),
default_value='false',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates an Element/Effect|effect on specified position.' ,
arguments={
"name": """A string contains Element/Effect#Effects_list|effect name. """,
"x": """A floating point number representing the X coordinate on the map. """,
"y": """A floating point number representing the Y coordinate on the map. """,
"z": """A floating point number representing the Z coordinate on the map. """,
"rX": """A floating point number representing the rotation about the X axis in degrees. """,
"rY": """A floating point number representing the rotation about the Y axis in degrees. """,
"rZ": """A floating point number representing the rotation about the Z axis in degrees. """,
"drawDistance": """A floating point number between 1 and 8191 which represents the draw distance of the effect, or 0 to use the default draw distance. """,
"soundEnable": """to enable the sound of the effect. """
},
result='returns the element/effect|effect element if creation was successful, false otherwise.' ,
),
url='createEffect',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddBlood',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='count',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
],
[
FunctionArgument(
name='brightness',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a blood splatter particle effect.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a direction vector indicating where the blood flies to. """,
"count": """the number of flying droplets to create. """,
"brightness": """the brightness. Ranges from 0 (almost black) to 1 (normal color). """
},
result='' ,
),
url='fxAddBlood',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddBulletImpact',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='smokeSize',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
],
[
FunctionArgument(
name='sparkCount',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
],
[
FunctionArgument(
name='smokeIntensity',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a bullet impact particle effect, consisting of a small smoke cloud and a number of sparks.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a vector indicating the direction of the effect. """,
"smokeSize": """the size of the smoke cloud. """,
"sparkCount": """the number of sparks to create. """,
"smokeIntensity": """the amount/transparency of smoke, ranges from 0 to 1. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddBulletImpact',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddBulletSplash',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a bullet splash particle effect, normally created when shooting into water.' ,
arguments={
"posX": """A float representing the x position of the splash """,
"posY": """A float representing the y position of the splash """,
"posZ": """A float representing the z position of the splash """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddBulletSplash',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddDebris',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='colorR',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='255',
)
],
[
FunctionArgument(
name='colorG',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='0',
)
],
[
FunctionArgument(
name='colorB',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='0',
)
],
[
FunctionArgument(
name='colorA',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='255',
)
],
[
FunctionArgument(
name='scale',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
],
[
FunctionArgument(
name='count',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a debris particle effect (e.g. bits that fly off a car when ramming a wall).' ,
arguments={
"posX, posY, posZ": """the world coordinates where the debris originates. """,
"colorR, colorG, colorB, colorA": """the color and alpha (transparency) of the debris effect. """,
"scale": """the size of the chunks. """,
"count": """the number of chunks to create. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddDebris',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddFootSplash',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a foot splash particle effect, normally created when walking into water.' ,
arguments={
"posX": """A float representing the x position of the splash """,
"posY": """A float representing the y position of the splash """,
"posZ": """A float representing the z position of the splash """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddFootSplash',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddGlass',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='colorR',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='255',
)
],
[
FunctionArgument(
name='colorG',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='0',
)
],
[
FunctionArgument(
name='colorB',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='0',
)
],
[
FunctionArgument(
name='colorA',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='255',
)
],
[
FunctionArgument(
name='scale',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
],
[
FunctionArgument(
name='count',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a glass particle effect.' ,
arguments={
"posX": """A float representing the x position of the glass """,
"posY": """A float representing the y position of the glass """,
"posZ": """A float representing the z position of the glass """,
"colorR, colorG, colorB, colorA": """the color and alpha (transparency) of the glass effect. """,
"scale": """A float representing the size of the particle effect, where 1 is the standard size. """,
"count": """The density of the particle effect. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddGlass',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddGunshot',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='includeSparks',
argument_type=FunctionType(
names=['bool'],
is_optional=True,
),
default_value='true',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a gunshot particle effect.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a direction vector indicating where the bullet is fired. """,
"includeSparks": """A bool representing whether the particle effect will generate sparks. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddGunshot',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddPunchImpact',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a punch impact particle effect (a small dust cloud).' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a vector indicating the movement direction of the effect. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddPunchImpact',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddSparks',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='force',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
],
[
FunctionArgument(
name='count',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
],
[
FunctionArgument(
name='acrossLineX',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='0.0',
)
],
[
FunctionArgument(
name='acrossLineY',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='0.0',
)
],
[
FunctionArgument(
name='acrossLineZ',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='0.0',
)
],
[
FunctionArgument(
name='blur',
argument_type=FunctionType(
names=['bool'],
is_optional=True,
),
default_value='false',
)
],
[
FunctionArgument(
name='spread',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
],
[
FunctionArgument(
name='life',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a number of sparks originating from a point or along a line.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the sparks originate. """,
"dirX, dirY, dirZ": """a direction vector indicating where the sparks fly to. The longer this vector is, the faster the sparks fly. """,
"force": """speed factor: the higher this value, the faster and further the sparks fly. """,
"count": """the number of effects to create. """,
"acrossLineX, acrossLineY, acrossLineZ": """a vector starting at the pos coordinates. If specified, the sparks will be created along a line going from pos to pos - acrossLine. If not specified, all sparks originate from the point at pos. """,
"blur": """if false, creates standard bullet impact-like sparks. If true, adds motion blur to the sparks. """,
"spread": """determines how strongly the particles deviate from each other. With low values the particles will stay quite close together, high values will make them fly in all directions. Also affects their speed. """,
"life": """the higher this value, the longer the sparks survive before they disappear. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddSparks',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddTankFire',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a tank firing particle effect.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a direction vector indicating where the tank fire is directed to. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddTankFire',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddTyreBurst',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a tyre burst particle effect (a small white smoke puff).' ,
arguments={
"posX, posY, posZ": """the world coordinates where the puff originates. """,
"dirX, dirY, dirZ": """a vector indicating the movement direction of the effect. """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddTyreBurst',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddWaterHydrant',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a water hydrant particle effect.' ,
arguments={
"posX": """A float representing the x position of the hydrant """,
"posY": """A float representing the y position of the hydrant """,
"posZ": """A float representing the z position of the hydrant """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddWaterHydrant',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddWaterSplash',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function creates a water splash particle effect.' ,
arguments={
"posX": """A float representing the x position of the splash """,
"posY": """A float representing the y position of the splash """,
"posZ": """A float representing the z position of the splash """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddWaterSplash',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='fxAddWood',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='posX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='posZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirX',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirY',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='dirZ',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='count',
argument_type=FunctionType(
names=['int'],
is_optional=True,
),
default_value='1',
)
],
[
FunctionArgument(
name='brightness',
argument_type=FunctionType(
names=['float'],
is_optional=True,
),
default_value='1.0',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='Creates a wood splinter particle effect.' ,
arguments={
"posX, posY, posZ": """the world coordinates where the effect originates. """,
"dirX, dirY, dirZ": """a direction vector indicating where the wood splinters fly to. """,
"count": """the number of splinters to create. """,
"brightness": """the brightness. Ranges from 0 (black) to 1 (normal color). """
},
result='returns a true if the operation was successful, false otherwise.' ,
),
url='fxAddWood',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='getEffectDensity',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['float'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theEffect',
argument_type=FunctionType(
names=['effect'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function gets the density of certain effect.' ,
arguments={
"theEffect": """The effect to get density of. """
},
result='' ,
),
url='getEffectDensity',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='getEffectSpeed',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['float'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theEffect',
argument_type=FunctionType(
names=['effect'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function gets the speed of a specified effect.' ,
arguments={
"theEffect": """The effect to get the speed of. """
},
result='returns float containing the effects speed, false if invalid arguments were specified.' ,
),
url='getEffectSpeed',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='setEffectDensity',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theEffect',
argument_type=FunctionType(
names=['effect'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='density',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function sets the density of a specified effect.\nThe limit is 1 for Low, 1.5 for Medium, and 2 for High/Very high.|true}}' ,
arguments={
"theEffect": """The effect to change the speed of. """,
"density": """The level of density (from 0 to 2). """
},
result='returns true if the density was succesfully changed, false otherwise.' ,
),
url='setEffectDensity',
)
],
),
CompoundFunctionData(
server=[
],
client=[
FunctionData(
signature=FunctionSignature(
name='setEffectSpeed',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theEffect',
argument_type=FunctionType(
names=['effect'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='speed',
argument_type=FunctionType(
names=['float'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function sets the speed of a specified effect.' ,
arguments={
"theEffect": """The effect to change the speed of. """,
"speed": """The speed to set. """
},
result='returns true if the effect speed was succesfuly changed, false otherwise.' ,
),
url='setEffectSpeed',
)
],
)
]
| 40.612729
| 262
| 0.291782
| 3,415
| 75,296
| 6.303368
| 0.083748
| 0.101087
| 0.121527
| 0.146846
| 0.852272
| 0.844096
| 0.833271
| 0.763356
| 0.756155
| 0.727167
| 0
| 0.002422
| 0.643593
| 75,296
| 1,853
| 263
| 40.634647
| 0.799709
| 0.000677
| 0
| 0.758411
| 1
| 0.003861
| 0.115187
| 0.00101
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.000552
| 0
| 0.000552
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
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| 0
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| 1
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| null | 0
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| 0
| 0
| 0
|
0
| 9
|
73665ba43d79b27b2fd7c80f62835366b92d0582
| 63,467
|
py
|
Python
|
tests/v3_api/test_gpu.py
|
TangStone/validation
|
6542f8248f0245ec7382952d7803d5d70fcfed3a
|
[
"Apache-2.0"
] | null | null | null |
tests/v3_api/test_gpu.py
|
TangStone/validation
|
6542f8248f0245ec7382952d7803d5d70fcfed3a
|
[
"Apache-2.0"
] | null | null | null |
tests/v3_api/test_gpu.py
|
TangStone/validation
|
6542f8248f0245ec7382952d7803d5d70fcfed3a
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from .entfunc import *
k8s_version = os.environ.get('RANCHER_K8S_VERSION', "v1.15.5-rancher1-1")
RANCHER_CLEANUP_CLUSTER = os.environ.get('RANCHER_CLEANUP_CLUSTER', "True")
NETWORK_PLUGIN = os.environ.get('NETWORK_PLUGIN', "canal")
GPU_IMAGE = os.environ.get('RANCHER_GPU_IMAGE',"jianghang8421/gpu-ml-example:tf")
MONITORING_TEMPLATE_ID = "cattle-global-data:system-library-rancher-monitoring"
CLUSTER_MONITORING_APP = "cluster-monitoring"
MONITORING_OPERATOR_APP = "monitoring-operator"
GPU_MONITORING_APP = "cluster-gpu-monitoring"
DEFAULT_GPU_IMEOUT = 60
GPU_MEM_NODE = "gpu-mem"
GPU_COUNT_NODE = "gpu-count"
GPUSHARE_PLUGIN = os.environ.get('RANCHER_GPUSHARE_PLUGIN',"gpushare-device-plugin")
NVIDIA_GPU_PLUGIN = os.environ.get('RANCHER_NVIDIA_GPU_PLUGIN',"nvidia-gpu-device-plugin")
rke_config = {
"addonJobTimeout": 30,
"ignoreDockerVersion": True,
"sshAgentAuth": False,
"type": "rancherKubernetesEngineConfig",
"authentication": {
"strategy": "x509",
"type": "authnConfig"
},
"ingress": {
"provider": "nginx",
"type": "ingressConfig"
},
"monitoring": {
"provider": "metrics-server",
"type": "monitoringConfig"
},
"services": {
"type": "rkeConfigServices",
"kubeApi": {
"alwaysPullImages": False,
"podSecurityPolicy": False,
"serviceNodePortRange": "30000-32767",
"type": "kubeAPIService"
},
"etcd": {
"creation": "12h",
"extraArgs": {
"heartbeat-interval": 500,
"election-timeout": 5000
},
"retention": "72h",
"snapshot": False,
"type": "etcdService",
"backupConfig": {
"enabled": True,
"intervalHours": 12,
"retention": 6,
"type": "backupConfig"
}
},
"scheduler": {
"extraArgs": {
"policy-config-file": "/etc/gpushare/scheduler-policy-config.json"
},
"extraBinds": [
"/etc/gpushare/scheduler-policy-config.json:/etc/gpushare/scheduler-policy-config.json"
]
}
}
}
docker_config = {
"default-runtime": "nvidia",
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
}
}
share_resource_quota = {"limit": {"requestsGpuMemory": "4"}}
share_namespace_resource_quota = {"limit":{"requestsGpuMemory":"2"}}
default_resource_quota = {"limit":{"requestsGpuCount":"4"}}
default_namespace_resource_quota = {"limit":{"requestsGpuCount":"2"}}
C_MONITORING_ANSWERS = {
"operator-init.enabled": "true",
"exporter-node.enabled": "true",
"exporter-gpu-node.enabled": "true",
"exporter-node.ports.metrics.port": "9796",
"exporter-kubelets.https": "true",
"exporter-node.resources.limits.cpu": "200m",
"exporter-node.resources.limits.memory": "200Mi",
"operator.resources.limits.memory": "500Mi",
"prometheus.retention": "12h",
"grafana.persistence.enabled": "false",
"prometheus.persistence.enabled": "false",
"prometheus.persistence.storageClass": "default",
"grafana.persistence.storageClass": "default",
"grafana.persistence.size": "10Gi",
"prometheus.persistence.size": "50Gi",
"prometheus.resources.core.requests.cpu": "750m",
"prometheus.resources.core.limits.cpu": "1000m",
"prometheus.resources.core.requests.memory": "750Mi",
"prometheus.resources.core.limits.memory": "1000Mi",
"prometheus.persistent.useReleaseName": "true"
}
@pytest.mark.skip
def test_cluster_enable_gpu():
cluster = validate_gpu_cluster(k8s_version, plugin="canal", nodeport="32666",
node_count=1, node_roles=[["etcd", "worker", "controlplane"]])
validate_cluster_support_gpu(cluster, ADMIN_TOKEN)
def test_add_share_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type':'share'}
result, node = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label, "gpu.cattle.io/type")
assert result
def test_delete_share_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
nodes = client.list_node(name=GPU_MEM_NODE).data
assert len(nodes) > 0
node = nodes[0]
node_labels = node.labels.__dict__
if "gpu.cattle.io/type" not in node_labels or node_labels['gpu.cattle.io/type'] != 'share':
result, node = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label, "gpu.cattle.io/type")
assert result
check_delete_gpu_label(client, node, GPUSHARE_PLUGIN, "gpu.cattle.io/type")
def test_modify_share_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
add_result, node = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert add_result
modify_result = check_modify_gpu_label(client, node, GPUSHARE_PLUGIN, NVIDIA_GPU_PLUGIN, "gpu.cattle.io/type", "default")
assert modify_result
def test_add_default_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label, "gpu.cattle.io/type")
assert result
def test_delete_default_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
nodes = client.list_node(name=GPU_COUNT_NODE).data
assert len(nodes) > 0
node = nodes[0]
node_labels = node.labels.__dict__
if "gpu.cattle.io/type" not in node_labels or node_labels['gpu.cattle.io/type'] != 'default':
result, node = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
check_delete_gpu_label(client, node, NVIDIA_GPU_PLUGIN, "gpu.cattle.io/type")
def test_modify_default_gpu_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
add_result, node = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert add_result
modify_result = check_modify_gpu_label(client, node, NVIDIA_GPU_PLUGIN,
GPUSHARE_PLUGIN, "gpu.cattle.io/type", "share")
assert modify_result
def test_gpu_mem_unused():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "1"}, "limits": {"rancher.io/gpu-mem": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
def test_gpu_mem_used2():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "3"}, "limits": {"rancher.io/gpu-mem": "3"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
def test_gpu_mem_overrun():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "10"}, "limits": {"rancher.io/gpu-mem": "10"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
start = time.time()
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
while wl.state != "active":
if time.time() - start > DEFAULT_GPU_IMEOUT:
pods = p_client.list_pod(workloadId=workload.id).data
assert len(pods) == 1
pod = pods[0]
assert pod.transitioning == "error"
assert "Insufficient rancher.io/gpu-mem" in pod.transitioningMessage
break
time.sleep(.5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
projects = client.list_project(clusterId=cluster.id).data
assert len(projects) >= 1
for project in projects:
if "p_gpu" in project.name:
client.delete(project)
def test_gpu_mem_count():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, node = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "1"}, "limits": {"nvidia.com/gpu": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
start = time.time()
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
while wl.state != "active":
if time.time() - start > DEFAULT_GPU_IMEOUT:
pods = p_client.list_pod(workloadId=workload.id).data
assert len(pods) == 1
pod = pods[0]
assert pod.transitioning == "error"
assert "Insufficient nvidia.com/gpu" in pod.transitioningMessage
break
time.sleep(.5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
check_delete_gpu_label(client, node, GPUSHARE_PLUGIN, "gpu.cattle.io/type")
def test_gpu_count_unused():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "2"}, "limits": {"nvidia.com/gpu": "2"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
def test_gpu_count_used2():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "1"}, "limits": {"nvidia.com/gpu": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
def test_gpu_count_overrun():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "6"}, "limits": {"nvidia.com/gpu": "6"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
start = time.time()
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
while wl.state != "active":
if time.time() - start > DEFAULT_GPU_IMEOUT:
pods = p_client.list_pod(workloadId=workload.id).data
assert len(pods) == 1
pod = pods[0]
assert pod.transitioning == "error"
assert "Insufficient nvidia.com/gpu" in pod.transitioningMessage
break
time.sleep(.5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
projects = client.list_project(clusterId=cluster.id).data
assert len(projects) >= 1
for project in projects:
if "p_gpu" in project.name:
client.delete(project)
def test_gpu_count_mem():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, node = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
project, namespace = create_project_and_ns(ADMIN_TOKEN, cluster, random_test_name("p_gpu"), random_test_name("gpu"))
p_client = get_project_client_for_token(project,ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "2"}, "limits": {"rancher.io/gpu-mem": "2"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=namespace.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
start = time.time()
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
while wl.state != "active":
if time.time() - start > DEFAULT_GPU_IMEOUT:
pods = p_client.list_pod(workloadId=workload.id).data
assert len(pods) == 1
pod = pods[0]
assert pod.transitioning == "error"
assert "Insufficient rancher.io/gpu-mem" in pod.transitioningMessage
break
time.sleep(.5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
check_delete_gpu_label(client, node, NVIDIA_GPU_PLUGIN, "gpu.cattle.io/type")
def test_add_gpu_mem_quota_default_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == share_namespace_resource_quota["limit"]["requestsGpuMemory"]
client.delete(project)
def test_add_gpu_mem_quota_spec_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
quota = {"limit":{"requestsGpuMemory":"1"}}
ns = c_client.create_namespace(name=random_test_name('gpu-mem'),
projectId=project.id,
resourceQuota=quota)
ns = c_client.wait_success(ns)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == quota["limit"]["requestsGpuMemory"]
client.delete(project)
def test_edit_gpu_mem_quota_spec_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
quota = {"limit": {"requestsGpuMemory": "1"}}
ns = c_client.create_namespace(name=random_test_name('gpu-mem'),
projectId=project.id,
resourceQuota=quota)
ns = c_client.wait_success(ns)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == quota["limit"]["requestsGpuMemory"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
ns1 = p_client.update(ns,
resourceQuota={"limit": {"requestsGpuMemory": "2"}})
assert ns1.resourceQuota.limit.requestsGpuMemory == "2"
client.delete(project)
def test_gpu_mem_with_quota():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == share_namespace_resource_quota["limit"]["requestsGpuMemory"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "2"}, "limits": {"rancher.io/gpu-mem": "2"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
def test_gpu_mem_with_quota_overrun():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == share_namespace_resource_quota["limit"]["requestsGpuMemory"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "4"}, "limits": {"rancher.io/gpu-mem": "4"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
time.sleep(5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
assert wl.transitioning == "error"
assert "exceeded quota" in wl.transitioningMessage
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
def test_add_gpu_count_quota_default_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == default_namespace_resource_quota["limit"]["requestsGpuCount"]
client.delete(project)
def test_add_gpu_count_quota_spec_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
quota = {"limit": {"requestsGpuCount": "1"}}
ns = c_client.create_namespace(name=random_test_name('gpu-mem'),
projectId=project.id,
resourceQuota=quota)
ns = c_client.wait_success(ns)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == quota["limit"]["requestsGpuCount"]
client.delete(project)
def test_edit_gpu_count_quota_spec_ns():
client, cluster = get_admin_client_and_cluster()
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
quota = {"limit": {"requestsGpuCount": "1"}}
ns = c_client.create_namespace(name=random_test_name('gpu-mem'),
projectId=project.id,
resourceQuota=quota)
ns = c_client.wait_success(ns)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == quota["limit"]["requestsGpuCount"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
ns1 = p_client.update(ns,
resourceQuota={"limit": {"requestsGpuCount": "2"}})
assert ns1.resourceQuota.limit.requestsGpuCount == "2"
client.delete(project)
def test_gpu_count_with_quota():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == default_namespace_resource_quota["limit"]["requestsGpuCount"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "1"}, "limits": {"nvidia.com/gpu": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
def test_gpu_count_with_quota_overrun():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == default_namespace_resource_quota["limit"]["requestsGpuCount"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "3"}, "limits": {"nvidia.com/gpu": "3"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
time.sleep(5)
workloads = p_client.list_workload(uuid=workload.uuid).data
assert len(workloads) == 1
wl = workloads[0]
assert wl.transitioning == "error"
assert "exceeded quota" in wl.transitioningMessage
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
def test_enable_gpu_monitor():
client, cluster = get_admin_client_and_cluster()
monitoring_template = client.list_template(
id=MONITORING_TEMPLATE_ID).data[0]
MONITORING_VERSION = monitoring_template.defaultVersion
if cluster["enableClusterMonitoring"] is False:
client.action(cluster, "enableMonitoring",
answers=C_MONITORING_ANSWERS,
version=MONITORING_VERSION)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
wait_for_monitor_app_to_active(p_client, CLUSTER_MONITORING_APP)
wait_for_monitor_app_to_active(p_client, MONITORING_OPERATOR_APP)
wait_for_app_to_active(p_client, GPU_MONITORING_APP)
def test_add_gpu_monitor_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpumonitoring.cattle.io': 'true'}
result, node = check_add_gpu_label(client, GPU_MEM_NODE, "gpu-dcgm-exporter", label, "gpumonitoring.cattle.io")
assert result
def test_delete_gpu_monitor_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpumonitoring.cattle.io': 'true'}
nodes = client.list_node(name=GPU_MEM_NODE).data
assert len(nodes) > 0
node = nodes[0]
node_labels = node.labels.__dict__
if "gpumonitoring.cattle.io" not in node_labels or node_labels['gpumonitoring.cattle.io'] != True:
result, node = check_add_gpu_label(client, GPU_MEM_NODE, "gpu-dcgm-exporter", label, "gpumonitoring.cattle.io")
assert result
check_delete_gpu_label(client, node, "gpu-dcgm-exporter", "gpumonitoring.cattle.io")
def test_modify_gpu_monitor_label():
client, cluster = get_admin_client_and_cluster()
label = {'gpumonitoring.cattle.io': 'true'}
result, node = check_add_gpu_label(client, GPU_MEM_NODE, "gpu-dcgm-exporter", label, "gpumonitoring.cattle.io")
assert result
node, node_labels = get_node_label(client, node)
node_labels['gpumonitoring.cattle.io'] = "false"
client.update(node, labels=node_labels)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
workloads = p_client.list_workload(name="gpu-dcgm-exporter").data
assert len(workloads) == 1
workload = workloads[0]
pods = wait_for_pod_delete(p_client, workload)
assert len(pods) == 0
result_node, result_labels = get_node_label(client, node)
assert result_labels["gpumonitoring.cattle.io"] == node_labels['gpumonitoring.cattle.io']
del result_labels['gpumonitoring.cattle.io']
client.update(result_node, labels=result_labels)
def test_disable_monitor():
client, cluster = get_admin_client_and_cluster()
monitoring_template = client.list_template(
id=MONITORING_TEMPLATE_ID).data[0]
MONITORING_VERSION = monitoring_template.defaultVersion
if cluster["enableClusterMonitoring"] is False:
client.action(cluster, "enableMonitoring",
answers=C_MONITORING_ANSWERS,
version=MONITORING_VERSION)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
wait_for_monitor_app_to_active(p_client, CLUSTER_MONITORING_APP)
wait_for_monitor_app_to_active(p_client, MONITORING_OPERATOR_APP)
wait_for_app_to_active(p_client, GPU_MONITORING_APP)
cluster = client.reload(cluster)
client.action(cluster, "disableMonitoring")
start = time.time()
while True:
if time.time() - start > 30:
raise AssertionError(
"Timed out waiting for disabling project monitoring")
app1 = p_client.list_app(name=CLUSTER_MONITORING_APP)
app2 = p_client.list_app(name=MONITORING_OPERATOR_APP)
app3 = p_client.list_app(name=GPU_MONITORING_APP)
if len(app1.data) == 0 and len(app2.data) == 0 and len(app3.data) == 0:
break
def test_disable_gpu_monitor():
client, cluster = get_admin_client_and_cluster()
monitoring_template = client.list_template(
id=MONITORING_TEMPLATE_ID).data[0]
MONITORING_VERSION = monitoring_template.defaultVersion
if cluster["enableClusterMonitoring"] is False:
client.action(cluster, "enableMonitoring",
answers=C_MONITORING_ANSWERS,
version=MONITORING_VERSION)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
wait_for_monitor_app_to_active(p_client, CLUSTER_MONITORING_APP)
wait_for_monitor_app_to_active(p_client, MONITORING_OPERATOR_APP)
wait_for_app_to_active(p_client, GPU_MONITORING_APP)
answers = C_MONITORING_ANSWERS
answers['exporter-gpu-node.enabled'] = 'false'
cluster = client.reload(cluster)
client.action(cluster, "editMonitoring", answers=answers)
start = time.time()
while True:
if time.time() - start > 30:
raise AssertionError(
"Timed out waiting for disabling project monitoring")
app3 = p_client.list_app(name=GPU_MONITORING_APP)
if len(app3.data) == 0:
break
@pytest.mark.skip
def test_cluster_disable_gpu():
client, cluster = get_admin_client_and_cluster()
client.update(cluster, enableGPUManagement=False)
project = cluster.list_project(name="System")
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
wait_for_wl_delete(p_client, GPUSHARE_PLUGIN)
wait_for_wl_delete(p_client, NVIDIA_GPU_PLUGIN)
wait_for_wl_delete(p_client, "gpushare-schd-extender")
apps = client.list_app(name="cluster-gpu-management").data
start = time.time()
while len(apps) != 0:
if time.time() - start > DEFAULT_TIMEOUT:
raise AssertionError(
"Timed out waiting for state to get to active")
time.sleep(.5)
apps = client.list_app(name="cluster-gpu-management").data
def test_gpu_mem_with_quota_part():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == share_namespace_resource_quota["limit"]["requestsGpuMemory"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "1"}, "limits": {"rancher.io/gpu-mem": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
wait_for_wl_to_active(p_client, workload)
p = client.reload(project)
ns1= c_client.reload(ns)
p_annotations = p.annotations
assert json.loads(p_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuMemory"] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
ns_annotations = ns1.annotations
assert json.loads(ns_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuMemory"] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
wait_for_project_delete(client, cluster, project)
def test_gpu_mem_with_quota_all():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'share'}
result, _ = check_add_gpu_label(client, GPU_MEM_NODE, GPUSHARE_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name=random_test_name('gpu_quota'),
clusterId=cluster.id,
resourceQuota=share_resource_quota,
namespaceDefaultResourceQuota=share_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuMemory == share_resource_quota["limit"]["requestsGpuMemory"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuMemory == \
share_namespace_resource_quota["limit"]["requestsGpuMemory"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuMemory == share_namespace_resource_quota["limit"]["requestsGpuMemory"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"rancher.io/gpu-mem": "2"}, "limits": {"rancher.io/gpu-mem": "2"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
workload = wait_for_wl_to_active(p_client, workload)
assert workload.state == "active"
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['rancher.io/gpu-mem'] == con[0]["resources"]["requests"]["rancher.io/gpu-mem"]
assert wl_con.resources.limits['rancher.io/gpu-mem'] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
wait_for_wl_to_active(p_client, workload)
p = client.reload(project)
ns1= c_client.reload(ns)
p_annotations = p.annotations
assert json.loads(p_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuMemory"] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
ns_annotations = ns1.annotations
assert json.loads(ns_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuMemory"] == con[0]["resources"]["limits"]["rancher.io/gpu-mem"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
wait_for_project_delete(client, cluster, project)
def test_gpu_count_with_quota_part():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == default_namespace_resource_quota["limit"]["requestsGpuCount"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "1"}, "limits": {"nvidia.com/gpu": "1"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
wait_for_wl_to_active(p_client, workload)
p = client.reload(project)
ns1 = c_client.reload(ns)
p_annotations = p.annotations
assert json.loads(p_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuCount"] == \
con[0]["resources"]["limits"]["nvidia.com/gpu"]
ns_annotations = ns1.annotations
assert json.loads(ns_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuCount"] == \
con[0]["resources"]["limits"]["nvidia.com/gpu"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
wait_for_project_delete(client, cluster, project)
def test_gpu_count_with_quota_all():
client, cluster = get_admin_client_and_cluster()
label = {'gpu.cattle.io/type': 'default'}
result, _ = check_add_gpu_label(client, GPU_COUNT_NODE, NVIDIA_GPU_PLUGIN, label)
assert result
c_client = get_cluster_client_for_token(cluster, ADMIN_TOKEN)
project = client.create_project(name='test-' + random_str(),
clusterId=cluster.id,
resourceQuota=default_resource_quota,
namespaceDefaultResourceQuota=default_namespace_resource_quota)
project = client.wait_success(project)
assert project.resourceQuota is not None
assert project.resourceQuota.limit.requestsGpuCount == default_resource_quota["limit"]["requestsGpuCount"]
assert project.namespaceDefaultResourceQuota is not None
assert project.namespaceDefaultResourceQuota.limit.requestsGpuCount == \
default_namespace_resource_quota["limit"]["requestsGpuCount"]
ns = create_ns(c_client, cluster, project)
assert ns is not None
assert ns.resourceQuota is not None
assert ns.resourceQuota.limit.requestsGpuCount == default_namespace_resource_quota["limit"]["requestsGpuCount"]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
name = random_test_name("gpu")
con = [{"name": "test1",
"image": GPU_IMAGE,
"resources": {"requests": {"nvidia.com/gpu": "2"}, "limits": {"nvidia.com/gpu": "2"}}}]
workload = p_client.create_workload(name=name,
containers=con,
namespaceId=ns.id,
deploymentConfig={})
wl_cons = workload.containers
assert len(wl_cons) == 1
wl_con = wl_cons[0]
assert wl_con.resources.requests['nvidia.com/gpu'] == con[0]["resources"]["requests"]["nvidia.com/gpu"]
assert wl_con.resources.limits['nvidia.com/gpu'] == con[0]["resources"]["limits"]["nvidia.com/gpu"]
wait_for_wl_to_active(p_client, workload)
p = client.reload(project)
ns1 = c_client.reload(ns)
p_annotations = p.annotations
assert json.loads(p_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuCount"] == \
con[0]["resources"]["limits"]["nvidia.com/gpu"]
ns_annotations = ns1.annotations
assert json.loads(ns_annotations["field.cattle.io/resourceQuotaUsage"])["requestsGpuCount"] == \
con[0]["resources"]["limits"]["nvidia.com/gpu"]
p_client.delete(workload)
wait_for_wl_delete(p_client, workload)
client.delete(project)
wait_for_project_delete(client, cluster, project)
def validate_gpu_cluster(k8s_version, plugin="canal", nodeport="32666", node_count=1, node_roles=[["etcd", "worker", "controlplane"]]):
rke_config["kubernetesVersion"] = k8s_version
rke_config["network"] = {"type": "networkConfig", "plugin": plugin}
aws_nodes = \
AmazonWebServices().create_multiple_nodes(
node_count, random_test_name("testcustom"))
client = get_admin_client()
cluster = client.create_cluster(name=random_name(),
driver="rancherKubernetesEngine",
enableGPUManagement=True,
gpuSchedulerNodePort=nodeport,
rancherKubernetesEngineConfig=rke_config)
assert cluster.state == "active"
i = 0
urlPrefix = "http://127.0.0.1:" + nodeport + "/gpushare-scheduler"
gpushare_config = {
"kind": "Policy",
"apiVersion": "v1",
"extenders": [
{
"urlPrefix": urlPrefix,
"filterVerb": "filter",
"bindVerb": "bind",
"enableHttps": False,
"nodeCacheCapable": True,
"managedResources": [
{
"name": "rancher.io/gpu-mem",
"ignoredByScheduler": False
}
],
"ignorable": False
}
]
}
for aws_node in aws_nodes:
docker_run_cmd = get_custom_host_registration_cmd(client, cluster, node_roles[i], aws_node)
dir_gpu_cmd = "sudo mkdir -p /etc/gpushare/"
gpudir_run_cmd = "ssh -o StrictHostKeyChecking=no -i /src/rancher-validation/.ssh/jenkins.pem -l ubuntu " \
+ aws_node.public_ip_address + " \' " + dir_gpu_cmd + " \'"
aws_node.execute_command(gpudir_run_cmd)
config_gpu_cmd = "sudo echo " + gpushare_config + " > /etc/gpushare/scheduler-policy-config.json"
gpuconfig_run_cmd = "ssh -o StrictHostKeyChecking=no -i /src/rancher-validation/.ssh/jenkins.pem -l ubuntu " \
+ aws_node.public_ip_address + " \' " + config_gpu_cmd + " \'"
aws_node.execute_command(gpuconfig_run_cmd)
config_docker_cmd = "sudo echo " + docker_config + " > /etc/docker/daemon.json"
dockerconfig_run_cmd = "ssh -o StrictHostKeyChecking=no -i /src/rancher-validation/.ssh/jenkins.pem -l ubuntu " \
+ aws_node.public_ip_address + " \' " + config_docker_cmd + " \'"
aws_node.execute_command(dockerconfig_run_cmd)
restart_docker_cmd = "ssh -o StrictHostKeyChecking=no -i /src/rancher-validation/.ssh/jenkins.pem -l ubuntu " \
+ aws_node.public_ip_address + " \' sudo service docker restart \'"
aws_node.execute_command(restart_docker_cmd)
cluster_run_cmd = "ssh -o StrictHostKeyChecking=no -i /src/rancher-validation/.ssh/jenkins.pem -l ubuntu " \
+ aws_node.public_ip_address + " \' " + docker_run_cmd + " \'"
aws_node.execute_command(cluster_run_cmd)
i += 1
cluster = validate_cluster(client, cluster)
return cluster
def validate_cluster_support_gpu(cluster,token):
project = cluster.list_project(name="System")
p_client = get_project_client_for_token(project, token)
validate_wl_byName(p_client, GPUSHARE_PLUGIN,"cattle-gpumanagement","DaemonSet")
validate_wl_byName(p_client, NVIDIA_GPU_PLUGIN,"cattle-gpumanagement","DaemonSet")
validate_wl_byName(p_client,"gpushare-schd-extender","cattle-gpumanagement","Deployment")
#execute_kubectl_cmd()
apps = p_client.list_app(name="cluster-gpu-management")
assert len(apps) == 1
app = wait_for_app_to_active(p_client, apps[0])
assert app.state == "active"
def wait_for_app_to_active(client, app, timeout=DEFAULT_TIMEOUT):
apps = client.list_app(name=app).data
assert len(apps) >= 1
application = apps[0]
start = time.time()
apps = client.list_app(uuid=application.uuid).data
assert len(apps) == 1
app1 = apps[0]
while app1.state != "active":
if time.time() - start > timeout:
raise AssertionError(
"Timed out waiting for state to get to active")
time.sleep(.5)
apps = client.list_app(uuid=application.uuid).data
assert len(apps) == 1
app1 = apps[0]
return app1
def check_add_gpu_label(client, node_name, wl, label, key="gpu.cattle.io/type", deleteFlag=False):
'''
:param client:
:param cluster:
:param wl: gpushare-device-plugin / nvidia-gpu-device-plugin
:param label
:return:
'''
nodes = client.list_node(name=node_name).data
assert len(nodes) > 0
node = nodes[0]
node_labels = node.labels.__dict__
labels = dict(node_labels, **label)
client.update(node,labels = labels)
projects = client.list_project(name="System").data
assert len(projects) == 1
project=projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
workloads = p_client.list_workload(name=wl).data
assert len(workloads) == 1
workload = workloads[0]
pods = p_client.list_pod(workloadId=workload.id).data
assert len(pods) == 1
pod = pods[0]
pod = wait_for_pod_to_running(p_client,pod)
assert pod.state == "running"
result = False
if pod.nodeId == node.id:
result = True
node, node_labels = get_node_label(client, node)
assert node_labels[key] == label[key]
if deleteFlag:
del node_labels[key]
client.update(node, labels=node_labels)
return result, node
def check_delete_gpu_label(client, node, wl, key):
node, node_labels = get_node_label(client, node)
del node_labels[key]
client.update(node,labels=node_labels)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
workloads = p_client.list_workload(name=wl).data
assert len(workloads) == 1
workload = workloads[0]
pods = wait_for_pod_delete(p_client,workload)
assert len(pods) == 0
_, node_labels = get_node_label(client, node)
assert key not in node_labels.keys()
def check_modify_gpu_label(client, node, old_wl, new_wl, key, value):
node, node_labels = get_node_label(client, node)
node_labels[key] = value
client.update(node, labels = node_labels)
projects = client.list_project(name="System").data
assert len(projects) == 1
project = projects[0]
p_client = get_project_client_for_token(project, ADMIN_TOKEN)
old_workloads = p_client.list_workload(name=old_wl).data
assert len(old_workloads) == 1
old_workload = old_workloads[0]
old_pods = wait_for_pod_delete(p_client, old_workload)
assert len(old_pods) == 0
new_workloads = p_client.list_workload(name=new_wl).data
assert len(new_workloads) == 1
new_workload = new_workloads[0]
new_pods = p_client.list_pod(workloadId=new_workload.id).data
assert len(new_pods) == 1
new_pod = new_pods[0]
wait_for_pod_to_running(p_client,new_pod)
result = False
if new_pod.nodeId == node.id:
result = True
node, node_labels = get_node_label(client, node)
assert node_labels['gpu.cattle.io/type'] == value
check_delete_gpu_label(client, node, new_wl, key)
return result
def get_node_label(client, node):
nodes = client.list_node(id=node.id).data
assert len(nodes) == 1
node = nodes[0]
labels = node.labels.__dict__
return node, labels
def validate_gpu_resoucequota_kubectl(namespace, quota_type):
'''
:param namespace:
:param quota_type: requestsGpuMemory / requestsGpuCount
:return:
'''
command = "get quota --namespace " + namespace['id']
result = execute_kubectl_cmd(command, json_out=True)
testdict = namespace['resourceQuota']
response = result["items"]
assert "spec" in response[0]
quotadict = (response[0]["spec"])
assert quotadict['hard'][quota_type] == testdict['limit'][quota_type]
def wait_for_monitor_app_to_active(client, app,
timeout=DEFAULT_MULTI_CLUSTER_APP_TIMEOUT):
"""
First wait for app to come in deployment state, then wait for it get
in active state. This is to avoid wrongly conclude that app is active
as app goes to state installing > active > deploying > active
@param client: Project client
@param app_id: App id of deployed app.
@param timeout: Max time allowed to wait for app to become active.
@return: app object
"""
apps = client.list_app(name=app).data
assert len(apps) >= 1
application = apps[0]
app_id = application.id
start = time.time()
app_data = client.list_app(id=app_id).data
while len(app_data) == 0:
if time.time() - start > timeout / 10:
raise AssertionError(
"Timed out waiting for listing the app from API")
time.sleep(.2)
app_data = client.list_app(id=app_id).data
application = app_data[0]
while application.state != "deploying":
if time.time() - start > timeout / 3:
break
time.sleep(.2)
app_data = client.list_app(id=app_id).data
application = app_data[0]
while application.state != "active":
if time.time() - start > timeout:
raise AssertionError(
"Timed out waiting for state to get to active")
time.sleep(.5)
app = client.list_app(id=app_id).data
assert len(app) >= 1
application = app[0]
return application
| 41.699737
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0
| 7
|
739bf94233d860a17772c67610776f864d2ad92e
| 34,443
|
py
|
Python
|
code/python/IRNCustomSymbols/v1/fds/sdk/IRNCustomSymbols/api/hybrid_symbols_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | 6
|
2022-02-07T16:34:18.000Z
|
2022-03-30T08:04:57.000Z
|
code/python/IRNCustomSymbols/v1/fds/sdk/IRNCustomSymbols/api/hybrid_symbols_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | 2
|
2022-02-07T05:25:57.000Z
|
2022-03-07T14:18:04.000Z
|
code/python/IRNCustomSymbols/v1/fds/sdk/IRNCustomSymbols/api/hybrid_symbols_api.py
|
factset/enterprise-sdk
|
3fd4d1360756c515c9737a0c9a992c7451d7de7e
|
[
"Apache-2.0"
] | null | null | null |
"""
IRN API v1
Allows users to extract, create, update and configure IRN data. # noqa: E501
The version of the OpenAPI document: 1
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from multiprocessing.pool import ApplyResult
import typing
from fds.sdk.IRNCustomSymbols.api_client import ApiClient, Endpoint as _Endpoint
from fds.sdk.IRNCustomSymbols.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validate_and_convert_types
)
from fds.sdk.IRNCustomSymbols.exceptions import ApiException
from fds.sdk.IRNCustomSymbols.model.create_standard_symbol_metadata_dto import CreateStandardSymbolMetadataDto
from fds.sdk.IRNCustomSymbols.model.new_item_dto import NewItemDto
from fds.sdk.IRNCustomSymbols.model.operation import Operation
from fds.sdk.IRNCustomSymbols.model.problem_details import ProblemDetails
class HybridSymbolsApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
self.create_standard_symbol_metadata_endpoint = _Endpoint(
settings={
'response_type': (
{ 201: (NewItemDto,), 400: (ProblemDetails,), 0: (ProblemDetails,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/v1/custom-symbols/standard-symbol-metadata',
'operation_id': 'create_standard_symbol_metadata',
'http_method': 'POST',
'servers': None,
},
params_map={
'all': [
'create_standard_symbol_metadata_dto',
],
'required': [],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'create_standard_symbol_metadata_dto':
(CreateStandardSymbolMetadataDto,),
},
'attribute_map': {
},
'location_map': {
'create_standard_symbol_metadata_dto': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json-patch+json',
'application/json',
'text/json',
'application/*+json'
]
},
api_client=api_client
)
self.get_standard_symbol_metadata_guid_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (str,), 404: (str,), 0: (ProblemDetails,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/v1/custom-symbols/standard-symbol-metadata/{standardSymbol}',
'operation_id': 'get_standard_symbol_metadata_guid',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'standard_symbol',
],
'required': [
'standard_symbol',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'standard_symbol':
(str,),
},
'attribute_map': {
'standard_symbol': 'standardSymbol',
},
'location_map': {
'standard_symbol': 'path',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.patch_standard_symbol_endpoint = _Endpoint(
settings={
'response_type': None,
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/v1/custom-symbols/standard-symbol-metadata/{standardSymbolId}',
'operation_id': 'patch_standard_symbol',
'http_method': 'PATCH',
'servers': None,
},
params_map={
'all': [
'standard_symbol_id',
'operation',
],
'required': [
'standard_symbol_id',
],
'nullable': [
],
'enum': [
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
},
'openapi_types': {
'standard_symbol_id':
(str,),
'operation':
([Operation],),
},
'attribute_map': {
'standard_symbol_id': 'standardSymbolId',
},
'location_map': {
'standard_symbol_id': 'path',
'operation': 'body',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [
'application/json-patch+json',
'application/json',
'text/json',
'application/*+json'
]
},
api_client=api_client
)
@staticmethod
def apply_kwargs_defaults(kwargs, return_http_data_only, async_req):
kwargs["async_req"] = async_req
kwargs["_return_http_data_only"] = return_http_data_only
kwargs["_preload_content"] = kwargs.get("_preload_content", True)
kwargs["_request_timeout"] = kwargs.get("_request_timeout", None)
kwargs["_check_input_type"] = kwargs.get("_check_input_type", True)
kwargs["_check_return_type"] = kwargs.get("_check_return_type", True)
kwargs["_spec_property_naming"] = kwargs.get("_spec_property_naming", False)
kwargs["_content_type"] = kwargs.get("_content_type")
kwargs["_host_index"] = kwargs.get("_host_index")
def create_standard_symbol_metadata(
self,
**kwargs
) -> NewItemDto:
"""Create standard symbol metadata # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Keyword Args:
create_standard_symbol_metadata_dto (CreateStandardSymbolMetadataDto): createStandardSymbolMetadataDto object to save. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
NewItemDto
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
return self.create_standard_symbol_metadata_endpoint.call_with_http_info(**kwargs)
def create_standard_symbol_metadata_with_http_info(
self,
**kwargs
) -> typing.Tuple[NewItemDto, int, typing.MutableMapping]:
"""Create standard symbol metadata # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Keyword Args:
create_standard_symbol_metadata_dto (CreateStandardSymbolMetadataDto): createStandardSymbolMetadataDto object to save. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
NewItemDto
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
return self.create_standard_symbol_metadata_endpoint.call_with_http_info(**kwargs)
def create_standard_symbol_metadata_async(
self,
**kwargs
) -> "ApplyResult[NewItemDto]":
"""Create standard symbol metadata # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Keyword Args:
create_standard_symbol_metadata_dto (CreateStandardSymbolMetadataDto): createStandardSymbolMetadataDto object to save. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[NewItemDto]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
return self.create_standard_symbol_metadata_endpoint.call_with_http_info(**kwargs)
def create_standard_symbol_metadata_with_http_info_async(
self,
**kwargs
) -> "ApplyResult[typing.Tuple[NewItemDto, int, typing.MutableMapping]]":
"""Create standard symbol metadata # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Keyword Args:
create_standard_symbol_metadata_dto (CreateStandardSymbolMetadataDto): createStandardSymbolMetadataDto object to save. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(NewItemDto, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
return self.create_standard_symbol_metadata_endpoint.call_with_http_info(**kwargs)
def get_standard_symbol_metadata_guid(
self,
standard_symbol,
**kwargs
) -> str:
"""Get all custom field and standard field details on a specific standard symbol # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
standard_symbol (str): Standard symbol to get associated customSymbolId
Keyword Args:
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
str
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['standard_symbol'] = \
standard_symbol
return self.get_standard_symbol_metadata_guid_endpoint.call_with_http_info(**kwargs)
def get_standard_symbol_metadata_guid_with_http_info(
self,
standard_symbol,
**kwargs
) -> typing.Tuple[str, int, typing.MutableMapping]:
"""Get all custom field and standard field details on a specific standard symbol # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
standard_symbol (str): Standard symbol to get associated customSymbolId
Keyword Args:
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
str
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['standard_symbol'] = \
standard_symbol
return self.get_standard_symbol_metadata_guid_endpoint.call_with_http_info(**kwargs)
def get_standard_symbol_metadata_guid_async(
self,
standard_symbol,
**kwargs
) -> "ApplyResult[str]":
"""Get all custom field and standard field details on a specific standard symbol # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
standard_symbol (str): Standard symbol to get associated customSymbolId
Keyword Args:
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[str]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['standard_symbol'] = \
standard_symbol
return self.get_standard_symbol_metadata_guid_endpoint.call_with_http_info(**kwargs)
def get_standard_symbol_metadata_guid_with_http_info_async(
self,
standard_symbol,
**kwargs
) -> "ApplyResult[typing.Tuple[str, int, typing.MutableMapping]]":
"""Get all custom field and standard field details on a specific standard symbol # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
standard_symbol (str): Standard symbol to get associated customSymbolId
Keyword Args:
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(str, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['standard_symbol'] = \
standard_symbol
return self.get_standard_symbol_metadata_guid_endpoint.call_with_http_info(**kwargs)
def patch_standard_symbol(
self,
standard_symbol_id,
**kwargs
) -> None:
"""Edit a standard symbol’s standard field and custom field data # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
standard_symbol_id (str): standardSymbolId to update associated standard symbol
Keyword Args:
operation ([Operation]): updateCustomSymbolDto object to update. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
None
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['standard_symbol_id'] = \
standard_symbol_id
return self.patch_standard_symbol_endpoint.call_with_http_info(**kwargs)
def patch_standard_symbol_with_http_info(
self,
standard_symbol_id,
**kwargs
) -> typing.Tuple[None, int, typing.MutableMapping]:
"""Edit a standard symbol’s standard field and custom field data # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
standard_symbol_id (str): standardSymbolId to update associated standard symbol
Keyword Args:
operation ([Operation]): updateCustomSymbolDto object to update. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
None
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['standard_symbol_id'] = \
standard_symbol_id
return self.patch_standard_symbol_endpoint.call_with_http_info(**kwargs)
def patch_standard_symbol_async(
self,
standard_symbol_id,
**kwargs
) -> "ApplyResult[None]":
"""Edit a standard symbol’s standard field and custom field data # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
standard_symbol_id (str): standardSymbolId to update associated standard symbol
Keyword Args:
operation ([Operation]): updateCustomSymbolDto object to update. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[None]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['standard_symbol_id'] = \
standard_symbol_id
return self.patch_standard_symbol_endpoint.call_with_http_info(**kwargs)
def patch_standard_symbol_with_http_info_async(
self,
standard_symbol_id,
**kwargs
) -> "ApplyResult[typing.Tuple[None, int, typing.MutableMapping]]":
"""Edit a standard symbol’s standard field and custom field data # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
standard_symbol_id (str): standardSymbolId to update associated standard symbol
Keyword Args:
operation ([Operation]): updateCustomSymbolDto object to update. [optional]
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(None, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['standard_symbol_id'] = \
standard_symbol_id
return self.patch_standard_symbol_endpoint.call_with_http_info(**kwargs)
| 44.906128
| 141
| 0.58938
| 3,786
| 34,443
| 5.187797
| 0.058901
| 0.073418
| 0.023828
| 0.023217
| 0.91309
| 0.883916
| 0.873988
| 0.862685
| 0.862685
| 0.862685
| 0
| 0.003659
| 0.349302
| 34,443
| 766
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| 44.964752
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| 1
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0
| 7
|
fb4cc7a30f29c44bf0346c9816c056749f3622bd
| 18,620
|
py
|
Python
|
experiments.py
|
Diallo/Thesis-Generator
|
81a76b90ed1600579f0d7585c4df8e0d77aeed07
|
[
"MIT"
] | null | null | null |
experiments.py
|
Diallo/Thesis-Generator
|
81a76b90ed1600579f0d7585c4df8e0d77aeed07
|
[
"MIT"
] | 1
|
2021-03-21T03:35:40.000Z
|
2021-03-21T03:35:40.000Z
|
experiments.py
|
Diallo/Thesis-Generator
|
81a76b90ed1600579f0d7585c4df8e0d77aeed07
|
[
"MIT"
] | null | null | null |
import modifications
import generator
import conversion
import stateyasper
import subprocess
import time
import random
from subprocess import STDOUT, check_output
from collections import defaultdict
from jinja2 import Environment, FileSystemLoader
LOCATION_COMMA = "/home/scripts/comma-cmd.jar"
LOCATION_FIONA = "" # Can leave this blank just add to path
def create_ar_file():
# For the generated modifications create the AR FILE
# Globals set in modifications
ar_file_input = modifications.ar_file_input
ar_file_output = modifications.ar_file_output
env = Environment(loader=FileSystemLoader('templates'))
file_ar = env.get_template('ar.jinja').render(**locals())
# Above code (Creates an AR File in directory /test hardcoded)
with open('test/{}.ar'.format("ZARFILE"), 'w') as f:
print(file_ar, file=f)
# Now should be 2 directories with V1 and V2
subprocess.call(['java', '-jar', LOCATION_COMMA,"-l","test/v1/V1.prj"])
subprocess.call(['java', '-jar', LOCATION_COMMA,"-l","test/v2/V2.prj"])
def experiment_1(prevalence=0.2):
"""This runs experiment set 1 and writes it to the file
"experiments1.csv" formatted as
"Operation, Inputs, Outputs, Prevalence, Time in seconds"
"""
INPUT_RANGE = [10,30,50]
# INPUT_RANGE = [50,80]
DATAPOINT_SAMPLES = 5
AMOUNT_MODIFICATIONS = 1
TIMEOUT = 350
filename = "experiments1.csv"
# possible_modifications = [modifications.delete,modifications.create,modifications.merge,modifications.split]
possible_modifications = [modifications.merge]
performed_modifications = [x.__name__ for x in possible_modifications]
for modification in possible_modifications:
for inout in INPUT_RANGE:
x = 0
while x < DATAPOINT_SAMPLES:
modifications.ar_file_input = defaultdict(list)
modifications.ar_file_output = defaultdict(list)
modifications.already_modified = []
try:
# Generate a ruleset
# Parameters (Inputs, OUtputs and prevalence)
rules = generator.random_generator(inout,inout,prevalence)
statemachine = generator.generate(rules)
# Pass-through
modifications.populate_ar_file(statemachine)
# Attempt to perform modifications
statemachine_modified = False
while not statemachine_modified:
# Performed modifications will be a list of operations [Delete,Create]
statemachine_modified, performed_modifications = modifications.perform_modifications(statemachine,possible_modifications=[modification],amount=AMOUNT_MODIFICATIONS)
# Genereates the COMMA files hardcoded directory
# From here have a modified statemachine
conversion.generate_conversion(statemachine,"V1","test/v1/")
conversion.generate_conversion(statemachine_modified,"V2","test/v2/")
# Create AR file and run CMD Comma and get .ownf files
create_ar_file()
# Should now have directories containing files
# fiona -t adapter SERVER.owfn CLIENT.owfn -a ARFILE.ar
with open(filename, 'a+') as f:
time_start = time.time()
outpu = subprocess.check_output(['fiona', "-p", "no-dot","-p" ,"no-png",'-t',"smalladapter", "test/v1/src-gen/DYNAMICS/openNetTask/V1__1_0__Server.owfn","test/v2/src-gen/DYNAMICS/openNetTask/V2__1_0__Client.owfn","-a","test/ZARFILE.ar"],timeout=TIMEOUT)
elapsed_time = time.time() - time_start
# CHeck if an adapter was created even
outpu = outpu.decode("utf-8")
print(outpu)
if "Cannot synthesize a partner for a net" in outpu or "memory exhausted" in outpu:
elapsed_time = -1
x -= 1
print("{},{},{},{},{},(good)".format(".".join(performed_modifications),inout,inout,prevalence,elapsed_time),file=f)
# USED TO INDICATE A GOOD RESULT
x += 1
except Exception as e:
# How to end up here:
# -- If it was timed out after subprocess call
# -- Non zero exit status that is memory exhaustion
if "timed out after" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(timed_out)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
elif "non-zero exit status 5" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(exhausted)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
# This was a memory exhaustion
else:
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(COULD NOT SYNTHESIZE)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
# This was a memory exhaustion
def experiment_2(prevalence=0.2):
"""This runs experiment set 2 and writes it to the file
"experiments2.csv" formatted as
"Operation, Inputs, Outputs, Prevalence, Time in seconds"
"""
# INPUT_RANGE = [(10,30),(30,10),(10,50),(50,10),(30,50),(50,30)]
INPUT_RANGE = [(30,50),(50,30)]
DATAPOINT_SAMPLES = 7
AMOUNT_MODIFICATIONS = 1
TIMEOUT = 350
filename = "experiments2.csv"
# possible_modifications = [modifications.delete,modifications.create,modifications.merge,modifications.split]
possible_modifications = [modifications.merge]
for modification in possible_modifications:
for inout in INPUT_RANGE:
inputs = inout[0]
output = inout[1]
x = 0
while x < DATAPOINT_SAMPLES:
modifications.ar_file_input = defaultdict(list)
modifications.ar_file_output = defaultdict(list)
modifications.already_modified = []
try:
rules = generator.random_generator(inputs,output,prevalence)
statemachine = generator.generate(rules)
modifications.populate_ar_file(statemachine)
# Attempt to perform modifications
statemachine_modified = False
while not statemachine_modified:
statemachine_modified, performed_modifications = modifications.perform_modifications(statemachine,possible_modifications=[modification],amount=AMOUNT_MODIFICATIONS)
# Genereates the COMMA files hardcoded directory
conversion.generate_conversion(statemachine,"V1","test/v1/")
conversion.generate_conversion(statemachine_modified,"V2","test/v2/")
# Create AR file and run CMD Comma
create_ar_file()
# Should now have directories containing files
# TODO: Run FIONA here with TIME
# fiona -t adapter SERVER.owfn CLIENT.owfn -a ARFILE.ar
with open(filename, 'a+') as f:
time_start = time.time()
outpu = subprocess.check_output(['fiona', "-p", "no-dot","-p" ,"no-png",'-t',"smalladapter", "test/v1/src-gen/DYNAMICS/openNetTask/V1__1_0__Server.owfn","test/v2/src-gen/DYNAMICS/openNetTask/V2__1_0__Client.owfn","-a","test/ZARFILE.ar"],timeout=TIMEOUT)
elapsed_time = time.time() - time_start
# CHeck if an adapter was created even
outpu = outpu.decode("utf-8")
print(outpu)
if "Cannot synthesize a partner for a net" in outpu or "memory exhausted" in outpu:
elapsed_time = -1
print("{},{},{},{},{},(good)".format(".".join(performed_modifications),inputs,output,prevalence,elapsed_time),file=f)
x += 1
except Exception as e:
# How to end up here:
# -- If it was timed out after subprocess call
# -- Non zero exit status that is memory exhaustion
if "timed out after" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(timed_out)".format(".".join(performed_modifications),inputs,output,prevalence),file=f)
elif "non-zero exit status 5" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(exhausted)".format(".".join(performed_modifications),inputs,output,prevalence),file=f)
# This was a memory exhaustion
def experiment_3(prevalence=0.2):
"""This runs experiment set 1 and writes it to the file
"experiments3.csv" formatted as
"Operation, Inputs, Outputs, Prevalence, Time in seconds"
"""
INPUT_RANGE = [10,30,50,80]
DATAPOINT_SAMPLES = 7
AMOUNT_MODIFICATIONS = 3
TIMEOUT = 350
filename = "experiments3.csv"
TRIES = 10
# possible_modifications = [modifications.delete,modifications.create,modifications.merge,modifications.split]
possible_modifications = [modifications.create,modifications.merge,modifications.split]
for modification in possible_modifications:
for inout in INPUT_RANGE:
x = 0
n_try = TRIES
while x < DATAPOINT_SAMPLES:
x += 1
modifications.ar_file_input = defaultdict(list)
modifications.ar_file_output = defaultdict(list)
modifications.already_modified = []
elapsed_time = None
try:
rules = generator.random_generator(inout,inout,prevalence)
statemachine = generator.generate(rules)
modifications.populate_ar_file(statemachine)
# Attempt to perform modifications
statemachine_modified = False
while not statemachine_modified:
statemachine_modified, performed_modifications = modifications.perform_modifications(statemachine,possible_modifications=[modification],amount=AMOUNT_MODIFICATIONS)
# Genereates the COMMA files hardcoded directory
conversion.generate_conversion(statemachine,"V1","test/v1/")
conversion.generate_conversion(statemachine_modified,"V2","test/v2/")
# Create AR file and run CMD Comma
create_ar_file()
# Should now have directories containing files
# TODO: Run FIONA here with TIME
# fiona -t adapter SERVER.owfn CLIENT.owfn -a ARFILE.ar
with open(filename, 'a+') as f:
time_start = time.time()
outpu = subprocess.check_output(['fiona', "-p", "no-dot","-p" ,"no-png",'-t',"smalladapter", "test/v1/src-gen/DYNAMICS/openNetTask/V1__1_0__Server.owfn","test/v2/src-gen/DYNAMICS/openNetTask/V2__1_0__Client.owfn","-a","test/ZARFILE.ar"],timeout=TIMEOUT)
elapsed_time = time.time() - time_start
# CHeck if an adapter was created even
outpu = outpu.decode("utf-8")
print(outpu)
if "Cannot synthesize a partner for a net" in outpu or "memory exhausted" in outpu:
elapsed_time = -1
if n_try > 0:
x -= 1
n_try -= 1
print("{},{},{},{},{},(good)".format(".".join(performed_modifications),inout,inout,prevalence,elapsed_time),file=f)
except Exception as e:
# How to end up here:
# -- If it was timed out after subprocess call
# -- Non zero exit status that is memory exhaustion
if "timed out after" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(timed_out)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
elif "non-zero exit status 5" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(exhausted)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
# This was a memory exhaustion
elif n_try > 0:
x -= 1
n_try -= 1
if elapsed_time != None:
n_try = TRIES
def experiment_4(prevalence=0.2):
"""This runs experiment set 1 and writes it to the file
"experiments4.csv" formatted as
"Operation, Inputs, Outputs, Prevalence, Time in seconds"
"""
INPUT_RANGE = [30,50,80]
DATAPOINT_SAMPLES = 7
# TODO
AMOUNT_MODIFICATIONS = 3
TIMEOUT = 350
filename = "experiments3.csv"
TRIES = 10
possible_modifications = [modifications.delete,modifications.create,modifications.merge,modifications.split]
possible_modifications = [modifications.merge,modifications.split]
for modification in possible_modifications:
for inout in INPUT_RANGE:
x = 0
n_try = TRIES
while x < DATAPOINT_SAMPLES:
x += 1
modifications.ar_file_input = defaultdict(list)
modifications.ar_file_output = defaultdict(list)
modifications.already_modified = []
elapsed_time = None
try:
rules = generator.random_generator(inout,inout,prevalence)
statemachine = generator.generate(rules)
modifications.populate_ar_file(statemachine)
# Attempt to perform modifications
statemachine_modified = False
while not statemachine_modified:
statemachine_modified, performed_modifications = modifications.perform_modifications(statemachine,possible_modifications=[modification],amount=AMOUNT_MODIFICATIONS)
# Genereates the COMMA files hardcoded directory
conversion.generate_conversion(statemachine,"V1","test/v1/")
conversion.generate_conversion(statemachine_modified,"V2","test/v2/")
# Create AR file and run CMD Comma
create_ar_file()
# Should now have directories containing files
# TODO: Run FIONA here with TIME
# fiona -t adapter SERVER.owfn CLIENT.owfn -a ARFILE.ar
with open(filename, 'a+') as f:
time_start = time.time()
outpu = subprocess.check_output(['fiona', "-p", "no-dot","-p" ,"no-png",'-t',"smalladapter", "test/v1/src-gen/DYNAMICS/openNetTask/V1__1_0__Server.owfn","test/v2/src-gen/DYNAMICS/openNetTask/V2__1_0__Client.owfn","-a","test/ZARFILE.ar"],timeout=TIMEOUT)
elapsed_time = time.time() - time_start
# CHeck if an adapter was created even
outpu = outpu.decode("utf-8")
print(outpu)
if "Cannot synthesize a partner for a net" in outpu or "memory exhausted" in outpu:
elapsed_time = -1
if n_try > 0:
x -= 1
n_try -= 1
print("{},{},{},{},{},(good)".format(".".join(performed_modifications),inout,inout,prevalence,elapsed_time),file=f)
except Exception as e:
# How to end up here:
# -- If it was timed out after subprocess call
# -- Non zero exit status that is memory exhaustion
if "timed out after" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(timed_out)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
elif "non-zero exit status 5" in str(e):
with open(filename, 'a+') as f:
print("{},{},{},{},-1,(exhausted)".format(".".join(performed_modifications),inout,inout,prevalence),file=f)
# This was a memory exhaustion
else:
x -= 1
if elapsed_time != None:
n_try = TRIES
if __name__ == "__main__":
# experiment_1()
print("done1")
# experiment_2()
print("done2")
# experiment_3() # modifications amount is 3
print("done3")
# experiment_4()
print("Done4")
| 47.139241
| 278
| 0.52594
| 1,812
| 18,620
| 5.267108
| 0.11755
| 0.017603
| 0.027242
| 0.023156
| 0.866303
| 0.859807
| 0.844719
| 0.834661
| 0.816953
| 0.809095
| 0
| 0.018284
| 0.380236
| 18,620
| 395
| 279
| 47.139241
| 0.808752
| 0.173899
| 0
| 0.776256
| 0
| 0
| 0.111118
| 0.052214
| 0
| 0
| 0
| 0.007595
| 0
| 1
| 0.022831
| false
| 0
| 0.045662
| 0
| 0.068493
| 0.100457
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fb82d20eeee00cc729dfb02603364e8993dc4701
| 297
|
py
|
Python
|
solmate/programs/system_program/__init__.py
|
nimily/solmate
|
acd12d6e79598ca53fcb94b0fc3c524cb6c50b7c
|
[
"MIT"
] | 3
|
2022-03-11T19:06:15.000Z
|
2022-03-22T02:40:53.000Z
|
solmate/programs/system_program/__init__.py
|
nimily/solmate
|
acd12d6e79598ca53fcb94b0fc3c524cb6c50b7c
|
[
"MIT"
] | null | null | null |
solmate/programs/system_program/__init__.py
|
nimily/solmate
|
acd12d6e79598ca53fcb94b0fc3c524cb6c50b7c
|
[
"MIT"
] | null | null | null |
# LOCK-BEGIN[imports]: DON'T MODIFY
import solmate.programs.system_program.constants as constants
import solmate.programs.system_program.instructions as instructions
from solmate.programs.system_program.addrs import PROGRAM_ID
from solmate.programs.system_program.errors import Error
# LOCK-END
| 33
| 67
| 0.851852
| 41
| 297
| 6.04878
| 0.487805
| 0.241935
| 0.33871
| 0.451613
| 0.532258
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080808
| 297
| 8
| 68
| 37.125
| 0.908425
| 0.141414
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
fba601687eb0524b9417c671357049a17555e8ba
| 9,285
|
py
|
Python
|
Tools/pybench/Dict.py
|
sireliah/polish-python
|
605df4944c2d3bc25f8bf6964b274c0a0d297cc3
|
[
"PSF-2.0"
] | 1
|
2018-06-21T18:21:24.000Z
|
2018-06-21T18:21:24.000Z
|
Tools/pybench/Dict.py
|
sireliah/polish-python
|
605df4944c2d3bc25f8bf6964b274c0a0d297cc3
|
[
"PSF-2.0"
] | null | null | null |
Tools/pybench/Dict.py
|
sireliah/polish-python
|
605df4944c2d3bc25f8bf6964b274c0a0d297cc3
|
[
"PSF-2.0"
] | null | null | null |
z pybench zaimportuj Test
klasa DictCreation(Test):
version = 2.0
operations = 5*(5 + 5)
rounds = 80000
def test(self):
dla i w range(self.rounds):
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
d1 = {1:2,3:4,5:6}
d2 = {2:3,4:5,6:7}
d3 = {3:4,5:6,7:8}
d4 = {4:5,6:7,8:9}
d5 = {6:7,8:9,10:11}
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
d1 = {1:2,3:4,5:6}
d2 = {2:3,4:5,6:7}
d3 = {3:4,5:6,7:8}
d4 = {4:5,6:7,8:9}
d5 = {6:7,8:9,10:11}
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
d1 = {1:2,3:4,5:6}
d2 = {2:3,4:5,6:7}
d3 = {3:4,5:6,7:8}
d4 = {4:5,6:7,8:9}
d5 = {6:7,8:9,10:11}
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
d1 = {1:2,3:4,5:6}
d2 = {2:3,4:5,6:7}
d3 = {3:4,5:6,7:8}
d4 = {4:5,6:7,8:9}
d5 = {6:7,8:9,10:11}
d1 = {}
d2 = {}
d3 = {}
d4 = {}
d5 = {}
d1 = {1:2,3:4,5:6}
d2 = {2:3,4:5,6:7}
d3 = {3:4,5:6,7:8}
d4 = {4:5,6:7,8:9}
d5 = {6:7,8:9,10:11}
def calibrate(self):
dla i w range(self.rounds):
dalej
klasa DictWithStringKeys(Test):
version = 2.0
operations = 5*(6 + 6)
rounds = 200000
def test(self):
d = {}
dla i w range(self.rounds):
d['abc'] = 1
d['def'] = 2
d['ghi'] = 3
d['jkl'] = 4
d['mno'] = 5
d['pqr'] = 6
d['abc']
d['def']
d['ghi']
d['jkl']
d['mno']
d['pqr']
d['abc'] = 1
d['def'] = 2
d['ghi'] = 3
d['jkl'] = 4
d['mno'] = 5
d['pqr'] = 6
d['abc']
d['def']
d['ghi']
d['jkl']
d['mno']
d['pqr']
d['abc'] = 1
d['def'] = 2
d['ghi'] = 3
d['jkl'] = 4
d['mno'] = 5
d['pqr'] = 6
d['abc']
d['def']
d['ghi']
d['jkl']
d['mno']
d['pqr']
d['abc'] = 1
d['def'] = 2
d['ghi'] = 3
d['jkl'] = 4
d['mno'] = 5
d['pqr'] = 6
d['abc']
d['def']
d['ghi']
d['jkl']
d['mno']
d['pqr']
d['abc'] = 1
d['def'] = 2
d['ghi'] = 3
d['jkl'] = 4
d['mno'] = 5
d['pqr'] = 6
d['abc']
d['def']
d['ghi']
d['jkl']
d['mno']
d['pqr']
def calibrate(self):
d = {}
dla i w range(self.rounds):
dalej
klasa DictWithFloatKeys(Test):
version = 2.0
operations = 5*(6 + 6)
rounds = 150000
def test(self):
d = {}
dla i w range(self.rounds):
d[1.234] = 1
d[2.345] = 2
d[3.456] = 3
d[4.567] = 4
d[5.678] = 5
d[6.789] = 6
d[1.234]
d[2.345]
d[3.456]
d[4.567]
d[5.678]
d[6.789]
d[1.234] = 1
d[2.345] = 2
d[3.456] = 3
d[4.567] = 4
d[5.678] = 5
d[6.789] = 6
d[1.234]
d[2.345]
d[3.456]
d[4.567]
d[5.678]
d[6.789]
d[1.234] = 1
d[2.345] = 2
d[3.456] = 3
d[4.567] = 4
d[5.678] = 5
d[6.789] = 6
d[1.234]
d[2.345]
d[3.456]
d[4.567]
d[5.678]
d[6.789]
d[1.234] = 1
d[2.345] = 2
d[3.456] = 3
d[4.567] = 4
d[5.678] = 5
d[6.789] = 6
d[1.234]
d[2.345]
d[3.456]
d[4.567]
d[5.678]
d[6.789]
d[1.234] = 1
d[2.345] = 2
d[3.456] = 3
d[4.567] = 4
d[5.678] = 5
d[6.789] = 6
d[1.234]
d[2.345]
d[3.456]
d[4.567]
d[5.678]
d[6.789]
def calibrate(self):
d = {}
dla i w range(self.rounds):
dalej
klasa DictWithIntegerKeys(Test):
version = 2.0
operations = 5*(6 + 6)
rounds = 200000
def test(self):
d = {}
dla i w range(self.rounds):
d[1] = 1
d[2] = 2
d[3] = 3
d[4] = 4
d[5] = 5
d[6] = 6
d[1]
d[2]
d[3]
d[4]
d[5]
d[6]
d[1] = 1
d[2] = 2
d[3] = 3
d[4] = 4
d[5] = 5
d[6] = 6
d[1]
d[2]
d[3]
d[4]
d[5]
d[6]
d[1] = 1
d[2] = 2
d[3] = 3
d[4] = 4
d[5] = 5
d[6] = 6
d[1]
d[2]
d[3]
d[4]
d[5]
d[6]
d[1] = 1
d[2] = 2
d[3] = 3
d[4] = 4
d[5] = 5
d[6] = 6
d[1]
d[2]
d[3]
d[4]
d[5]
d[6]
d[1] = 1
d[2] = 2
d[3] = 3
d[4] = 4
d[5] = 5
d[6] = 6
d[1]
d[2]
d[3]
d[4]
d[5]
d[6]
def calibrate(self):
d = {}
dla i w range(self.rounds):
dalej
klasa SimpleDictManipulation(Test):
version = 2.0
operations = 5*(6 + 6 + 6 + 6)
rounds = 100000
def test(self):
d = {}
has_key = lambda key: key w d
dla i w range(self.rounds):
d[0] = 3
d[1] = 4
d[2] = 5
d[3] = 3
d[4] = 4
d[5] = 5
x = d[0]
x = d[1]
x = d[2]
x = d[3]
x = d[4]
x = d[5]
has_key(0)
has_key(2)
has_key(4)
has_key(6)
has_key(8)
has_key(10)
usuń d[0]
usuń d[1]
usuń d[2]
usuń d[3]
usuń d[4]
usuń d[5]
d[0] = 3
d[1] = 4
d[2] = 5
d[3] = 3
d[4] = 4
d[5] = 5
x = d[0]
x = d[1]
x = d[2]
x = d[3]
x = d[4]
x = d[5]
has_key(0)
has_key(2)
has_key(4)
has_key(6)
has_key(8)
has_key(10)
usuń d[0]
usuń d[1]
usuń d[2]
usuń d[3]
usuń d[4]
usuń d[5]
d[0] = 3
d[1] = 4
d[2] = 5
d[3] = 3
d[4] = 4
d[5] = 5
x = d[0]
x = d[1]
x = d[2]
x = d[3]
x = d[4]
x = d[5]
has_key(0)
has_key(2)
has_key(4)
has_key(6)
has_key(8)
has_key(10)
usuń d[0]
usuń d[1]
usuń d[2]
usuń d[3]
usuń d[4]
usuń d[5]
d[0] = 3
d[1] = 4
d[2] = 5
d[3] = 3
d[4] = 4
d[5] = 5
x = d[0]
x = d[1]
x = d[2]
x = d[3]
x = d[4]
x = d[5]
has_key(0)
has_key(2)
has_key(4)
has_key(6)
has_key(8)
has_key(10)
usuń d[0]
usuń d[1]
usuń d[2]
usuń d[3]
usuń d[4]
usuń d[5]
d[0] = 3
d[1] = 4
d[2] = 5
d[3] = 3
d[4] = 4
d[5] = 5
x = d[0]
x = d[1]
x = d[2]
x = d[3]
x = d[4]
x = d[5]
has_key(0)
has_key(2)
has_key(4)
has_key(6)
has_key(8)
has_key(10)
usuń d[0]
usuń d[1]
usuń d[2]
usuń d[3]
usuń d[4]
usuń d[5]
def calibrate(self):
d = {}
has_key = lambda key: key w d
dla i w range(self.rounds):
dalej
| 18.386139
| 37
| 0.253204
| 1,253
| 9,285
| 1.850758
| 0.047087
| 0.030185
| 0.025873
| 0.025873
| 0.919793
| 0.919793
| 0.909444
| 0.89737
| 0.871065
| 0.857266
| 0
| 0.218539
| 0.600323
| 9,285
| 504
| 38
| 18.422619
| 0.406359
| 0
| 0
| 0.972906
| 0
| 0
| 0.019386
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.002463
| null | null | 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
fbca836e260eeadf3d545dc67d79b509b2e03be6
| 3,175
|
py
|
Python
|
prepare_data.py
|
helloeboy/CNN_Sentence_Classification
|
dff78427f43d549b6aef5e7e3105a2dc3697c306
|
[
"MIT"
] | null | null | null |
prepare_data.py
|
helloeboy/CNN_Sentence_Classification
|
dff78427f43d549b6aef5e7e3105a2dc3697c306
|
[
"MIT"
] | null | null | null |
prepare_data.py
|
helloeboy/CNN_Sentence_Classification
|
dff78427f43d549b6aef5e7e3105a2dc3697c306
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from torchtext import data, datasets
import torchtext
import torch
def prepare_sst1(BATCH_SIZE, DEVICE, VECTORS):
PAD_TOKEN='<pad>'
TEXT = data.Field(batch_first=True, lower=True, pad_token=PAD_TOKEN)
LABEL = data.Field(sequential=False, batch_first=True, unk_token=None)
train_data = data.TabularDataset(path='./data/sst1/sst1_train.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
dev_data = data.TabularDataset(path='./data/sst1/sst1_dev.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
test_data = data.TabularDataset(path='./data/sst1/sst1_test.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
TEXT.build_vocab(train_data, vectors=VECTORS, unk_init= lambda x:torch.nn.init.uniform_(x, a=-0.25, b=0.25))
LABEL.build_vocab(train_data)
train_iterator = data.BucketIterator(train_data, batch_size=BATCH_SIZE, train=True,
shuffle=True,device=DEVICE)
dev_iterator = data.Iterator(dev_data, batch_size=len(dev_data), train=False,
sort=False, device=DEVICE)
test_iterator = data.Iterator(test_data, batch_size=len(test_data), train=False,
sort=False, device=DEVICE)
PAD_INDEX = TEXT.vocab.stoi[PAD_TOKEN]
TEXT.vocab.vectors[PAD_INDEX] = 0.0
pretrained_embeddings = TEXT.vocab.vectors
return train_iterator, dev_iterator, test_iterator, pretrained_embeddings, len(TEXT.vocab), len(LABEL.vocab), PAD_INDEX
def prepare_sst2(BATCH_SIZE, DEVICE, VECTORS):
PAD_TOKEN='<pad>'
TEXT = data.Field(batch_first=True, lower=True, pad_token=PAD_TOKEN)
LABEL = data.Field(sequential=False, batch_first=True, unk_token=None)
train_data = data.TabularDataset(path='./data/sst2/sst2_train.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
dev_data = data.TabularDataset(path='./data/sst2/sst2_dev.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
test_data = data.TabularDataset(path='./data/sst2/sst2_test.tsv', format='tsv',
fields=[('text', TEXT), ('labels', LABEL)])
TEXT.build_vocab(train_data, vectors=VECTORS, unk_init= lambda x:torch.nn.init.uniform_(x, a=-0.25, b=0.25))
LABEL.build_vocab(train_data)
train_iterator = data.BucketIterator(train_data, batch_size=BATCH_SIZE, train=True,
shuffle=True,device=DEVICE)
dev_iterator = data.Iterator(dev_data, batch_size=len(dev_data), train=False,
sort=False, device=DEVICE)
test_iterator = data.Iterator(test_data, batch_size=len(test_data), train=False,
sort=False, device=DEVICE)
PAD_INDEX = TEXT.vocab.stoi[PAD_TOKEN]
TEXT.vocab.vectors[PAD_INDEX] = 0.0
pretrained_embeddings = TEXT.vocab.vectors
return train_iterator, dev_iterator, test_iterator, pretrained_embeddings, len(TEXT.vocab), len(LABEL.vocab), PAD_INDEX
| 44.71831
| 123
| 0.641575
| 406
| 3,175
| 4.815271
| 0.14532
| 0.046036
| 0.067519
| 0.079795
| 0.951407
| 0.951407
| 0.951407
| 0.926854
| 0.926854
| 0.926854
| 0
| 0.012566
| 0.222992
| 3,175
| 70
| 124
| 45.357143
| 0.779895
| 0.006614
| 0
| 0.765957
| 0
| 0
| 0.075508
| 0.047589
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042553
| false
| 0
| 0.06383
| 0
| 0.148936
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
8395c88cdd82470a10473b2d3c083f2c20adbd7f
| 54,865
|
py
|
Python
|
src/generator/AutoRest.Python.Tests/Expected/AcceptanceTests/Header/autorestswaggerbatheaderservice/operations/header_operations.py
|
fhoering/autorest
|
b36c77ebb6a5c92aca72eea0894a683506af5817
|
[
"MIT"
] | null | null | null |
src/generator/AutoRest.Python.Tests/Expected/AcceptanceTests/Header/autorestswaggerbatheaderservice/operations/header_operations.py
|
fhoering/autorest
|
b36c77ebb6a5c92aca72eea0894a683506af5817
|
[
"MIT"
] | null | null | null |
src/generator/AutoRest.Python.Tests/Expected/AcceptanceTests/Header/autorestswaggerbatheaderservice/operations/header_operations.py
|
fhoering/autorest
|
b36c77ebb6a5c92aca72eea0894a683506af5817
|
[
"MIT"
] | null | null | null |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.pipeline import ClientRawResponse
from .. import models
class HeaderOperations(object):
"""HeaderOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.config = config
def param_existing_key(
self, user_agent, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header value "User-Agent": "overwrite".
:param user_agent: Send a post request with header value
"User-Agent": "overwrite"
:type user_agent: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/existingkey'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['User-Agent'] = self._serialize.header("user_agent", user_agent, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_existing_key(
self, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "User-Agent": "overwrite".
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/existingkey'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'User-Agent': 'str',
})
return client_raw_response
def param_protected_key(
self, content_type, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header value "Content-Type": "text/html".
:param content_type: Send a post request with header value
"Content-Type": "text/html"
:type content_type: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/protectedkey'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_protected_key(
self, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "Content-Type": "text/html".
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/protectedkey'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'Content-Type': 'str',
})
return client_raw_response
def param_integer(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "positive",
"value": 1 or "scenario": "negative", "value": -2 .
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param value: Send a post request with header values 1 or -2
:type value: int
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/integer'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'int')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_integer(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "value": 1 or -2.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/integer'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'int',
})
return client_raw_response
def param_long(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "positive",
"value": 105 or "scenario": "negative", "value": -2 .
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param value: Send a post request with header values 105 or -2
:type value: long
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/long'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'long')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_long(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "value": 105 or -2.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/long'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'long',
})
return client_raw_response
def param_float(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "positive",
"value": 0.07 or "scenario": "negative", "value": -3.0.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param value: Send a post request with header values 0.07 or -3.0
:type value: float
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/float'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'float')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_float(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "value": 0.07 or -3.0.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/float'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'float',
})
return client_raw_response
def param_double(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "positive",
"value": 7e120 or "scenario": "negative", "value": -3.0.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param value: Send a post request with header values 7e120 or -3.0
:type value: float
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/double'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'float')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_double(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "value": 7e120 or -3.0.
:param scenario: Send a post request with header values "scenario":
"positive" or "negative"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/double'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'float',
})
return client_raw_response
def param_bool(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "true", "value":
true or "scenario": "false", "value": false.
:param scenario: Send a post request with header values "scenario":
"true" or "false"
:type scenario: str
:param value: Send a post request with header values true or false
:type value: bool
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/bool'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'bool')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_bool(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header value "value": true or false.
:param scenario: Send a post request with header values "scenario":
"true" or "false"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/bool'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'bool',
})
return client_raw_response
def param_string(
self, scenario, value=None, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"The quick brown fox jumps over the lazy dog" or "scenario": "null",
"value": null or "scenario": "empty", "value": "".
:param scenario: Send a post request with header values "scenario":
"valid" or "null" or "empty"
:type scenario: str
:param value: Send a post request with header values "The quick brown
fox jumps over the lazy dog" or null or ""
:type value: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/string'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
if value is not None:
header_parameters['value'] = self._serialize.header("value", value, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_string(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "The quick brown fox jumps over the
lazy dog" or null or "".
:param scenario: Send a post request with header values "scenario":
"valid" or "null" or "empty"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/string'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'str',
})
return client_raw_response
def param_date(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"2010-01-01" or "scenario": "min", "value": "0001-01-01".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param value: Send a post request with header values "2010-01-01" or
"0001-01-01"
:type value: date
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/date'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'date')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_date(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "2010-01-01" or "0001-01-01".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/date'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'date',
})
return client_raw_response
def param_datetime(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"2010-01-01T12:34:56Z" or "scenario": "min", "value":
"0001-01-01T00:00:00Z".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param value: Send a post request with header values
"2010-01-01T12:34:56Z" or "0001-01-01T00:00:00Z"
:type value: datetime
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/datetime'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'iso-8601')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_datetime(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "2010-01-01T12:34:56Z" or
"0001-01-01T00:00:00Z".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/datetime'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'iso-8601',
})
return client_raw_response
def param_datetime_rfc1123(
self, scenario, value=None, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"Wed, 01 Jan 2010 12:34:56 GMT" or "scenario": "min", "value": "Mon,
01 Jan 0001 00:00:00 GMT".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param value: Send a post request with header values "Wed, 01 Jan
2010 12:34:56 GMT" or "Mon, 01 Jan 0001 00:00:00 GMT"
:type value: datetime
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/datetimerfc1123'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
if value is not None:
header_parameters['value'] = self._serialize.header("value", value, 'rfc-1123')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_datetime_rfc1123(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "Wed, 01 Jan 2010 12:34:56 GMT" or
"Mon, 01 Jan 0001 00:00:00 GMT".
:param scenario: Send a post request with header values "scenario":
"valid" or "min"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/datetimerfc1123'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'rfc-1123',
})
return client_raw_response
def param_duration(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"P123DT22H14M12.011S".
:param scenario: Send a post request with header values "scenario":
"valid"
:type scenario: str
:param value: Send a post request with header values
"P123DT22H14M12.011S"
:type value: timedelta
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/duration'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'duration')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_duration(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "P123DT22H14M12.011S".
:param scenario: Send a post request with header values "scenario":
"valid"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/duration'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'duration',
})
return client_raw_response
def param_byte(
self, scenario, value, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"啊齄丂狛狜隣郎隣兀﨩".
:param scenario: Send a post request with header values "scenario":
"valid"
:type scenario: str
:param value: Send a post request with header values "啊齄丂狛狜隣郎隣兀﨩"
:type value: bytearray
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/byte'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
header_parameters['value'] = self._serialize.header("value", value, 'bytearray')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_byte(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "啊齄丂狛狜隣郎隣兀﨩".
:param scenario: Send a post request with header values "scenario":
"valid"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/byte'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': 'bytearray',
})
return client_raw_response
def param_enum(
self, scenario, value=None, custom_headers=None, raw=False, **operation_config):
"""Send a post request with header values "scenario": "valid", "value":
"GREY" or "scenario": "null", "value": null.
:param scenario: Send a post request with header values "scenario":
"valid" or "null" or "empty"
:type scenario: str
:param value: Send a post request with header values 'GREY' .
Possible values include: 'White', 'black', 'GREY'
:type value: str or :class:`GreyscaleColors
<Fixtures.AcceptanceTestsHeader.models.GreyscaleColors>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/param/prim/enum'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
if value is not None:
header_parameters['value'] = self._serialize.header("value", value, 'GreyscaleColors')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
def response_enum(
self, scenario, custom_headers=None, raw=False, **operation_config):
"""Get a response with header values "GREY" or null.
:param scenario: Send a post request with header values "scenario":
"valid" or "null" or "empty"
:type scenario: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/response/prim/enum'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
header_parameters['scenario'] = self._serialize.header("scenario", scenario, 'str')
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
client_raw_response.add_headers({
'value': models.GreyscaleColors,
})
return client_raw_response
def custom_request_id(
self, custom_headers=None, raw=False, **operation_config):
"""Send x-ms-client-request-id = 9C4D50EE-2D56-4CD3-8152-34347DC9F2B0 in
the header of the request.
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: None
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises:
:class:`ErrorException<Fixtures.AcceptanceTestsHeader.models.ErrorException>`
"""
# Construct URL
url = '/header/custom/x-ms-client-request-id/9C4D50EE-2D56-4CD3-8152-34347DC9F2B0'
# Construct parameters
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if custom_headers:
header_parameters.update(custom_headers)
# Construct and send request
request = self._client.post(url, query_parameters)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200]:
raise models.ErrorException(self._deserialize, response)
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
| 40.761516
| 103
| 0.647225
| 5,701
| 54,865
| 6.091914
| 0.035257
| 0.070947
| 0.055629
| 0.045926
| 0.956003
| 0.953412
| 0.946732
| 0.940887
| 0.938814
| 0.938036
| 0
| 0.011858
| 0.259163
| 54,865
| 1,345
| 104
| 40.791822
| 0.842592
| 0.4076
| 0
| 0.825095
| 0
| 0.001901
| 0.102168
| 0.028811
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057034
| false
| 0
| 0.003802
| 0
| 0.117871
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
83d2a38e32ce9589eac60d53ccbd33dee2763d36
| 1,505
|
py
|
Python
|
src/_3_long_rep_wo_rep/longest_substring_without_repeating_characters_test.py
|
sguzman/LeetCodePython
|
94fbf5669e1e27b69c061ce89c55c01bf61adf63
|
[
"Unlicense"
] | 1
|
2020-06-20T03:48:18.000Z
|
2020-06-20T03:48:18.000Z
|
src/_3_long_rep_wo_rep/longest_substring_without_repeating_characters_test.py
|
sguzman/LeetCodePython
|
94fbf5669e1e27b69c061ce89c55c01bf61adf63
|
[
"Unlicense"
] | null | null | null |
src/_3_long_rep_wo_rep/longest_substring_without_repeating_characters_test.py
|
sguzman/LeetCodePython
|
94fbf5669e1e27b69c061ce89c55c01bf61adf63
|
[
"Unlicense"
] | null | null | null |
import unittest
from _3_long_rep_wo_rep import longest_substring_without_repeating_characters
class MyTestCase(unittest.TestCase):
def test_1(self):
solution = longest_substring_without_repeating_characters.Solution()
input_1: str = "abcabcbb"
output: int = 3
actual: int = solution.lengthOfLongestSubstring(input_1)
self.assertEqual(output, actual)
def test_2(self):
solution = longest_substring_without_repeating_characters.Solution()
input_1: str = "bbbbb"
output: int = 1
actual: int = solution.lengthOfLongestSubstring(input_1)
self.assertEqual(output, actual)
def test_3(self):
solution = longest_substring_without_repeating_characters.Solution()
input_1: str = "pwwkew"
output: int = 3
actual: int = solution.lengthOfLongestSubstring(input_1)
self.assertEqual(output, actual)
def test_4(self):
solution = longest_substring_without_repeating_characters.Solution()
input_1: str = "tmmzuxt"
output: int = 5
actual: int = solution.lengthOfLongestSubstring(input_1)
self.assertEqual(output, actual)
def test_5(self):
solution = longest_substring_without_repeating_characters.Solution()
input_1: str = "bbtablud"
output: int = 6
actual: int = solution.lengthOfLongestSubstring(input_1)
self.assertEqual(output, actual)
if __name__ == '__main__':
unittest.main()
| 27.87037
| 77
| 0.686379
| 163
| 1,505
| 6.018405
| 0.239264
| 0.061162
| 0.140673
| 0.195719
| 0.830785
| 0.787971
| 0.787971
| 0.787971
| 0.787971
| 0.787971
| 0
| 0.018182
| 0.232558
| 1,505
| 53
| 78
| 28.396226
| 0.831169
| 0
| 0
| 0.485714
| 0
| 0
| 0.027907
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0.142857
| false
| 0
| 0.057143
| 0
| 0.228571
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
83f413924287f2690692292fe2c23cd49a82cba4
| 8,778
|
py
|
Python
|
code/rpy2-demo.py
|
tychen742/course_datascience_r
|
30d5fb4123b1ef6c0f9acc5739258713acd22ee1
|
[
"CC-BY-4.0"
] | null | null | null |
code/rpy2-demo.py
|
tychen742/course_datascience_r
|
30d5fb4123b1ef6c0f9acc5739258713acd22ee1
|
[
"CC-BY-4.0"
] | 1
|
2020-01-30T21:31:04.000Z
|
2020-01-30T21:31:04.000Z
|
code/rpy2-demo.py
|
tychen742/course_datascience_r
|
30d5fb4123b1ef6c0f9acc5739258713acd22ee1
|
[
"CC-BY-4.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <headingcell level=1>
# Rpy2 demonstration
# <headingcell level=2>
# by Dan McGlinn (danmcglinn@gmail.com), 11-07-12
# <headingcell level=3>
# Part 1: Import necessary modules
# <codecell>
import rpy2.robjects as robj
import rpy2.rinterface as ri
import rpy2.robjects.vectors as rv
from rpy2.robjects.packages import importr
import numpy as np
# <headingcell level=3>
# Part 2: Interact with the R interpreter by creating and calling R objects
# <codecell>
# Interact with R using strings
print robj.r('3 + 4')
robj.r('x = 3')
print robj.r('x')
# <codecell>
# Interact with R using attributes
print robj.r.x
print "why are the two subsequent calls to ls producing different results?"
print robj.r.ls
print robj.r.ls()
# <codecell>
# create a python vector and compute R stats on it
x = rv.IntVector(range(0,11))
print "why are the two subsequent calls to mean producing different results?"
print robj.r('mean(x)')
print robj.r.mean(x)
print "Here are some other stats"
print "Sum"
print robj.r.sum(x)
print "Variance"
print robj.r.var(x)
# <headingcell level=3>
# Part 3: Create and interact with multi-dimensional R objects
# <codecell>
# create R matrices
v = robj.FloatVector(robj.r.rnorm(20))
m = robj.r.matrix(v, ncol = 2)
print(m)
print "According to R the column sums are"
print robj.r.apply(m, 2, 'sum')
# convert matrix into a numpy array
m_np = np.array(m)
print(m_np)
# <codecell>
# read in data as an R data.frame
faithful = robj.DataFrame.from_csvfile('/media/sf_Dropbox/teaching/rpy/faithful.dat', sep=' ')
print type(faithful)
print faithful.names
# <codecell>
# subset columns
# extract as a DataFrame
col_one = faithful.rx(1)
print robj.r.head(col_one)
col_one = faithful.rx('eruptions')
print robj.r.head(col_one)
# <codecell>
# extract as a Vector
print faithful.rx2(1)[0:11]
print faithful.rx2('eruptions')[0:11]
# <codecell>
# subset rows
print faithful.rx(robj.IntVector(range(1,6)), True)
# <headingcell level=3>
# Part 4: Work with R and python functions
# <codecell>
# create an R function and call it in the Python interpreter
robj.r('''
calc_area_r = function(radius, verbose=FALSE)
{
if (verbose) {
cat("I am calling calc_area_r().\n")
}
return( 2 * pi * radius )
}
calc_area_r(3)
''')
print robj.r.calc_area_r(5, verbose='TRUE')
# Make the calc_area_r a callable python function
calc_area_py = robj.r.calc_area_r
print "Here is the result of calc_area_py()"
print calc_area_py(5)
print type(calc_area_py)
# <codecell>
# Rpy supports keyword arguments if there is no pythonic conflict
robj.r.rnorm(10, mean=2, sd=3)
# <codecell>
# this will draw an error
robj.r.rpois(10, lambda=3)
# <codecell>
# creating a keyword argument dictionary solves the problem
robj.r.rpois(10, **{'lambda' : 3})
# <codecell>
# Make a python function and call it within R
ri.initr()
stats = importr('stats')
def quad_f(x):
x = x[0]
return x ** -2 + 0.5 * x
# wrap the function f so it can be exposed to R
quad_fr = ri.rternalize(quad_f)
# define the interval to find the minimum over
interval = rv.IntVector((0, 10))
# call R's optimize()
res = stats.optimize(quad_fr, interval)
print res
# <headingcell level=3>
# Part 5: Creating and exporting R graphics
# <codecell>
# plotting
x = robj.r.runif(10)
y = robj.r.rnorm(10)
robj.r.plot(x, y, xlab="runif rv", ylab="rnorm rv", col="red")
# <codecell>
# close that graphic
robj.r('dev.off()')
# <codecell>
# export the graphic as a pdf
robj.r.pdf('/media/sf_Dropbox/teaching/rpy/example_r_plot.pdf')
robj.r.plot(x, y, xlab="runif rv", ylab="rnorm rv", col="red")
robj.r('dev.off()')
# <headingcell level=3>
# Part 6: Importing R librairies and pythonizing R
# <codecell>
# import R libraries
vegan = importr('vegan')
comm_mat = robj.r.matrix(robj.r.rpois(100, 1), 10, 10)
ca = vegan.cca(comm_mat)
print ca
robj.r.plot(ca)
# <codecell>
# close the graphical device
robj.r('dev.off()')
# <codecell>
# make R pythonic by making it clear which functions are attributed to which packages
base = importr('base')
stats = importr('stats')
graphics = importr('graphics')
m = base.matrix(stats.rnorm(100), ncol = 5)
pca = stats.princomp(m)
graphics.plot(pca, main = "Eigen values")
stats.biplot(pca, main = "biplot")
=======
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <headingcell level=1>
# Rpy2 demonstration
# <headingcell level=2>
# by Dan McGlinn (danmcglinn@gmail.com), 11-07-12
# <headingcell level=3>
# Part 1: Import necessary modules
# <codecell>
import rpy2.robjects as robj
import rpy2.rinterface as ri
import rpy2.robjects.vectors as rv
from rpy2.robjects.packages import importr
import numpy as np
# <headingcell level=3>
# Part 2: Interact with the R interpreter by creating and calling R objects
# <codecell>
# Interact with R using strings
print robj.r('3 + 4')
robj.r('x = 3')
print robj.r('x')
# <codecell>
# Interact with R using attributes
print robj.r.x
print "why are the two subsequent calls to ls producing different results?"
print robj.r.ls
print robj.r.ls()
# <codecell>
# create a python vector and compute R stats on it
x = rv.IntVector(range(0,11))
print "why are the two subsequent calls to mean producing different results?"
print robj.r('mean(x)')
print robj.r.mean(x)
print "Here are some other stats"
print "Sum"
print robj.r.sum(x)
print "Variance"
print robj.r.var(x)
# <headingcell level=3>
# Part 3: Create and interact with multi-dimensional R objects
# <codecell>
# create R matrices
v = robj.FloatVector(robj.r.rnorm(20))
m = robj.r.matrix(v, ncol = 2)
print(m)
print "According to R the column sums are"
print robj.r.apply(m, 2, 'sum')
# convert matrix into a numpy array
m_np = np.array(m)
print(m_np)
# <codecell>
# read in data as an R data.frame
faithful = robj.DataFrame.from_csvfile('/media/sf_Dropbox/teaching/rpy/faithful.dat', sep=' ')
print type(faithful)
print faithful.names
# <codecell>
# subset columns
# extract as a DataFrame
col_one = faithful.rx(1)
print robj.r.head(col_one)
col_one = faithful.rx('eruptions')
print robj.r.head(col_one)
# <codecell>
# extract as a Vector
print faithful.rx2(1)[0:11]
print faithful.rx2('eruptions')[0:11]
# <codecell>
# subset rows
print faithful.rx(robj.IntVector(range(1,6)), True)
# <headingcell level=3>
# Part 4: Work with R and python functions
# <codecell>
# create an R function and call it in the Python interpreter
robj.r('''
calc_area_r = function(radius, verbose=FALSE)
{
if (verbose) {
cat("I am calling calc_area_r().\n")
}
return( 2 * pi * radius )
}
calc_area_r(3)
''')
print robj.r.calc_area_r(5, verbose='TRUE')
# Make the calc_area_r a callable python function
calc_area_py = robj.r.calc_area_r
print "Here is the result of calc_area_py()"
print calc_area_py(5)
print type(calc_area_py)
# <codecell>
# Rpy supports keyword arguments if there is no pythonic conflict
robj.r.rnorm(10, mean=2, sd=3)
# <codecell>
# this will draw an error
robj.r.rpois(10, lambda=3)
# <codecell>
# creating a keyword argument dictionary solves the problem
robj.r.rpois(10, **{'lambda' : 3})
# <codecell>
# Make a python function and call it within R
ri.initr()
stats = importr('stats')
def quad_f(x):
x = x[0]
return x ** -2 + 0.5 * x
# wrap the function f so it can be exposed to R
quad_fr = ri.rternalize(quad_f)
# define the interval to find the minimum over
interval = rv.IntVector((0, 10))
# call R's optimize()
res = stats.optimize(quad_fr, interval)
print res
# <headingcell level=3>
# Part 5: Creating and exporting R graphics
# <codecell>
# plotting
x = robj.r.runif(10)
y = robj.r.rnorm(10)
robj.r.plot(x, y, xlab="runif rv", ylab="rnorm rv", col="red")
# <codecell>
# close that graphic
robj.r('dev.off()')
# <codecell>
# export the graphic as a pdf
robj.r.pdf('/media/sf_Dropbox/teaching/rpy/example_r_plot.pdf')
robj.r.plot(x, y, xlab="runif rv", ylab="rnorm rv", col="red")
robj.r('dev.off()')
# <headingcell level=3>
# Part 6: Importing R librairies and pythonizing R
# <codecell>
# import R libraries
vegan = importr('vegan')
comm_mat = robj.r.matrix(robj.r.rpois(100, 1), 10, 10)
ca = vegan.cca(comm_mat)
print ca
robj.r.plot(ca)
# <codecell>
# close the graphical device
robj.r('dev.off()')
# <codecell>
# make R pythonic by making it clear which functions are attributed to which packages
base = importr('base')
stats = importr('stats')
graphics = importr('graphics')
m = base.matrix(stats.rnorm(100), ncol = 5)
pca = stats.princomp(m)
graphics.plot(pca, main = "Eigen values")
stats.biplot(pca, main = "biplot")
| 19.77027
| 94
| 0.691957
| 1,436
| 8,778
| 4.178273
| 0.158774
| 0.053333
| 0.043333
| 0.042
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.023997
| 0.173958
| 8,778
| 443
| 95
| 19.814898
| 0.803475
| 0.380383
| 0
| 0.959064
| 0
| 0
| 0.272265
| 0.034645
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.116959
| null | null | 0.362573
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f7dd093c7bf0522a73e02781164ef2fa255ad2cd
| 122
|
py
|
Python
|
flaskproject/modules/__init__.py
|
austinhrin/flask_cms
|
70996ab5d0775322654d0036c6db85f52118db6d
|
[
"Apache-2.0"
] | null | null | null |
flaskproject/modules/__init__.py
|
austinhrin/flask_cms
|
70996ab5d0775322654d0036c6db85f52118db6d
|
[
"Apache-2.0"
] | null | null | null |
flaskproject/modules/__init__.py
|
austinhrin/flask_cms
|
70996ab5d0775322654d0036c6db85f52118db6d
|
[
"Apache-2.0"
] | null | null | null |
from flaskproject.modules.google import *
from flaskproject.modules.password_hashing import hash_password, check_password
| 40.666667
| 79
| 0.877049
| 15
| 122
| 6.933333
| 0.6
| 0.307692
| 0.442308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07377
| 122
| 2
| 80
| 61
| 0.920354
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 7
|
f7dd18ead5fe27ff1319a7ee16f200657f1541b4
| 743,211
|
py
|
Python
|
tests/acceleration.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
tests/acceleration.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
tests/acceleration.py
|
izgzhen/cozy
|
fc57fdccdd52c5ecf4c4ae4e8b80af97e8119b77
|
[
"Apache-2.0"
] | null | null | null |
from collections import OrderedDict
import unittest
import sys
from cozy.common import OrderedSet, unique
from cozy.target_syntax import *
from cozy.syntax_tools import pprint, pprint_unpacked
from cozy.contexts import RootCtx
from cozy.pools import Pool, RUNTIME_POOL
from cozy.synthesis.acceleration import try_optimize, optimized_the
from cozy.synthesis.core import possibly_useful
from cozy.solver import ModelCachingSolver
from cozy.evaluation import eval
from cozy.cost_model import CostModel, Order, debug_comparison
from cozy.wf import exp_wf
def can_improve(e, context, assumptions : Exp = ETRUE, pool : Pool = RUNTIME_POOL, ops : [Op] = ()):
print("Optimizing:")
pprint_unpacked(e, out=sys.stdout)
cm = CostModel(assumptions=assumptions, funcs=context.funcs())
found_improvement = False
options = list(try_optimize(e, context, pool))
print("options: {}".format(len(options)))
options = list(unique(options))
print("unique: {}".format(len(options)))
for i, ee in enumerate(options):
print(" --> trying {}/{}...".format(i, len(options)))
pprint_unpacked(ee, out=sys.stdout)
wf = exp_wf(ee, context=context, pool=pool, assumptions=assumptions)
if not wf:
print(" NOT WELL-FORMED: {}".format(wf))
continue
solver = ModelCachingSolver(
vars=[v for v, p in context.vars()],
funcs=context.funcs(),
assumptions=assumptions)
gi = possibly_useful(solver, ee, context, pool, ops=ops)
if not gi:
print(" NOT A GOOD IDEA: {}".format(gi))
continue
if ee.type != e.type:
print(" DIFFERENT TYPE: is {}, should be {}".format(pprint(ee.type), pprint(e.type)))
continue
model = solver.satisfy(ENot(EImplies(assumptions, EEq(e, ee))))
if model is not None:
print(" INVALID")
print(" model = {!r}".format(model))
print(" expected = {!r}".format(eval(e, model)))
print(" actual = {!r}".format(eval(ee, model)))
continue
else:
print(" VALID")
order = cm.compare(ee, e, context, pool)
if order == Order.LT:
print(" IMPROVED")
found_improvement = True
else:
print(" NOT IMPROVED: order is {}".format(order))
debug_comparison(cm, ee, e, context)
return found_improvement
class TestAccelerationRules(unittest.TestCase):
def test_argmin(self):
xs = EVar("xs").with_type(INT_BAG)
ys = EVar("ys").with_type(INT_BAG)
x = EVar("x").with_type(INT)
ctx = RootCtx(state_vars=[xs], args=[ys])
e = EArgMin(EBinOp(ys, "+", EStateVar(xs).with_type(xs.type)).with_type(INT_BAG), ELambda(x, x)).with_type(INT)
assert can_improve(e, ctx)
def test_constant(self):
t = TEnum(["A", "B"])
e = EEq(EEnumEntry("A").with_type(t), EEnumEntry("B").with_type(t))
assert can_improve(e, context=RootCtx(state_vars=(), args=()))
def test_the_infinite_loop(self):
e = EBinOp(EFilter(EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('index').with_type(TInt())).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat())), '+', EFilter(EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), EBinOp(EVar('index').with_type(TInt()), '+', ENum(1).with_type(TInt())).with_type(TInt()), EStateVar(EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TInt())).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TList(TFloat()))
args = [EVar('index').with_type(TInt())]
for res in optimized_the(e, args):
print(pprint(res))
def test_regression01(self):
e = EUnaryOp('exists', EBinOp(EFilter(EStateVar(EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('EVERYBODY').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 'in', EStateVar(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), '+', EFilter(EMapGet(EStateVar(EMakeMap2(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_key85182').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('_key85182').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TMap(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TMap(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 'in', EStateVar(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())
ctx = RootCtx(state_vars=OrderedSet([EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))]), args=OrderedSet([EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('all', EMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), EBinOp(EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool()), 'and', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EBinOp(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool()), 'and', EBinOp(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), '!=', EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('all', EMap(EBinOp(EBinOp(EBinOp(EFlatMap(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), ESingleton(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String 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/*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), ESingleton(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EBinOp(EUnaryOp('not', EBinOp(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), '==', EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'val').with_type(TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), '==', EGetField(EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'val').with_type(TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), ESingleton(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), ESingleton(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EUnaryOp('not', EBinOp(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), '==', EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), '==', EGetField(EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, ctx, assumptions=assumptions)
def test_regression02(self):
e = EFilter(EMapGet(EStateVar(EMakeMap2(EMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var1003173').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ETupleGet(EVar('_var1003173').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_key1003168').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('_key1003168').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TMap(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TMap(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('EVERYBODY').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()), 'or', EHasKey(EStateVar(EMakeMap2(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var3121796').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), EBool(True).with_type(TBool()))).with_type(TMap(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), TBool()))).with_type(TMap(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), TBool())), ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))
ctx = RootCtx(state_vars=OrderedSet([EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))]), args=OrderedSet([EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('all', EMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), EBinOp(EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool()), 'and', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EBinOp(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool()), 'and', EBinOp(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), '!=', EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('all', EMap(EBinOp(EBinOp(EBinOp(EFlatMap(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), ESingleton(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EUnaryOp('all', EMap(EBinOp(EBinOp(EBinOp(EFlatMap(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), ESingleton(EVar('_var19').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 1).with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u1').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), '+', ESingleton(EVar('u2').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))).with_type(TBag(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))), ELambda(EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), EBinOp(EUnaryOp('not', EBinOp(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), '==', EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_var22').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'val').with_type(TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))), '==', EGetField(EVar('_var23').with_type(THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))), 'val').with_type(TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), ESingleton(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), ESingleton(EVar('_var20').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), '+', EFlatMap(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/'))))))))), ELambda(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), ESingleton(ETupleGet(EVar('_var21').with_type(TTuple((THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TNative('String /*Username*/')), ('salt', TNative('String /*Salt*/')), ('storedKey', TNative('String /*StoredKey*/')), ('serverKey', TNative('String /*ServerKey*/')), ('iterations', TNative('int /*Iterations*/')), ('name', TNative('String /*Name*/')), ('email', TNative('String /*Email*/')), ('creationDate', TNative('java.util.Date /*CreationDate*/')), ('modificationDate', TNative('java.util.Date /*ModificationDate*/')))))))), 0).with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBag(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EUnaryOp('not', EBinOp(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), '==', EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_var24').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), '==', EGetField(EVar('_var25').with_type(THandle('Group', TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TNative('String /*GroupName*/')), ('description', TNative('String /*GroupDesc*/')), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, ctx, assumptions=assumptions)
def test_regression03(self):
e = EArgMin(EBinOp(EStateVar(EMap(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 1).with_type(TFloat()))).with_type(TBag(TFloat()))).with_type(TBag(TFloat())), '+', ESingleton(EVar('f').with_type(TFloat())).with_type(TBag(TFloat()))).with_type(TBag(TFloat())), ELambda(EVar('_var4388').with_type(TFloat()), EVar('_var4388').with_type(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))]), args=OrderedSet([EVar('index').with_type(TInt()), EVar('f').with_type(TFloat())]), funcs=OrderedDict())
assumptions = EBinOp(EUnaryOp('unique', EMap(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression04(self):
e = EArgMin(EMap(EFilter(EStateVar(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), EBinOp(ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()), '!=', EVar('index').with_type(TInt())).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('_var12220').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('_var12220').with_type(TTuple((TInt(), TFloat()))), 1).with_type(TFloat()))).with_type(TBag(TFloat())), ELambda(EVar('_var4776').with_type(TFloat()), EVar('_var4776').with_type(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))]), args=OrderedSet([EVar('index').with_type(TInt())]), funcs=OrderedDict())
assumptions = EBinOp(EUnaryOp('unique', EMap(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), EBinOp(ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()), '==', EVar('index').with_type(TInt())).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression05(self):
e = EArgMin(EFilter(EStateVar(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), EBinOp(ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()), '!=', EVar('index').with_type(TInt())).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('_var2116').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('_var2116').with_type(TTuple((TInt(), TFloat()))), 1).with_type(TFloat()))).with_type(TTuple((TInt(), TFloat())))
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))]), args=OrderedSet([EVar('index').with_type(TInt())]), funcs=OrderedDict())
assumptions = EBinOp(EUnaryOp('unique', EMap(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('xs').with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('xs').with_type(TBag(TTuple((TInt(), TFloat())))), ELambda(EVar('p').with_type(TTuple((TInt(), TFloat()))), EBinOp(ETupleGet(EVar('p').with_type(TTuple((TInt(), TFloat()))), 0).with_type(TInt()), '==', EVar('index').with_type(TInt())).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TFloat()))))).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression06(self):
e = EUnaryOp('sum', EBinOp(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), '-', ESingleton(EStateVar(EListGet(EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt())).with_type(TFloat())).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression07(self):
e = EMap(EBinOp(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), '+', ESingleton(EStateVar(EListGet(EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt())).with_type(TFloat())).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(EStateVar(ECond(EVar('isDropped').with_type(TBool()), ENum(1.0).with_type(TFloat()), ENum(1.0).with_type(TFloat())).with_type(TFloat())).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '+', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TFloat()))).with_type(TList(TFloat()))
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
@unittest.skip("not supported yet")
def test_regression08(self):
"""
Actually, Cozy's IR does not have a good solution for this one.
The problem is that arg{min,max} MUST return the FIRST element that
minimizes the key function. In many cases it is easy to compute SOME
element that minimizes the key function, but it is very hard to find
the FIRST such element. We won't have a good solution here until Cozy
supports partial functions.
"""
e = EArgMin(EStateVar(EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int'))))).with_type(TBag(THandle('ETRUE', TNative('int')))), ELambda(EVar('_var2531').with_type(THandle('ETRUE', TNative('int'))), ECond(EBinOp(EVar('_var2531').with_type(THandle('ETRUE', TNative('int'))), '==', EVar('x').with_type(THandle('ETRUE', TNative('int')))).with_type(TBool()), EVar('nv').with_type(TNative('int')), EGetField(EVar('_var2531').with_type(THandle('ETRUE', TNative('int'))), 'val').with_type(TNative('int'))).with_type(TNative('int')))).with_type(THandle('ETRUE', TNative('int')))
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int'))))]), args=OrderedSet([EVar('x').with_type(THandle('ETRUE', TNative('int'))), EVar('nv').with_type(TNative('int'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EUnaryOp('unique', EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int'))))).with_type(TBool()), 'and', EBinOp(EVar('x').with_type(THandle('ETRUE', TNative('int'))), 'in', EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int'))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EVar('x').with_type(THandle('ETRUE', TNative('int'))), 'val').with_type(TNative('int')), '!=', EVar('nv').with_type(TNative('int'))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int')))), ELambda(EVar('_var12').with_type(THandle('ETRUE', TNative('int'))), ESingleton(EVar('_var12').with_type(THandle('ETRUE', TNative('int')))).with_type(TBag(THandle('ETRUE', TNative('int')))))).with_type(TBag(THandle('ETRUE', TNative('int')))), '+', ESingleton(EVar('x').with_type(THandle('ETRUE', TNative('int')))).with_type(TBag(THandle('ETRUE', TNative('int'))))).with_type(TBag(THandle('ETRUE', TNative('int')))), ELambda(EVar('_var13').with_type(THandle('ETRUE', TNative('int'))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('xs').with_type(TBag(THandle('ETRUE', TNative('int')))), ELambda(EVar('_var12').with_type(THandle('ETRUE', TNative('int'))), ESingleton(EVar('_var12').with_type(THandle('ETRUE', TNative('int')))).with_type(TBag(THandle('ETRUE', TNative('int')))))).with_type(TBag(THandle('ETRUE', TNative('int')))), '+', ESingleton(EVar('x').with_type(THandle('ETRUE', TNative('int')))).with_type(TBag(THandle('ETRUE', TNative('int'))))).with_type(TBag(THandle('ETRUE', TNative('int')))), ELambda(EVar('_var14').with_type(THandle('ETRUE', TNative('int'))), EBinOp(EBinOp(EVar('_var13').with_type(THandle('ETRUE', TNative('int'))), '==', EVar('_var14').with_type(THandle('ETRUE', TNative('int')))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var13').with_type(THandle('ETRUE', TNative('int'))), 'val').with_type(TNative('int')), '==', EGetField(EVar('_var14').with_type(THandle('ETRUE', TNative('int'))), 'val').with_type(TNative('int'))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression09(self):
e = EUnaryOp('the', ECond(EStateVar(EVar('isDropped').with_type(TBool())).with_type(TBool()), EBinOp(EStateVar(EFilter(EVar('xs').with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TList(TFloat())), '-', ESingleton(EStateVar(EListGet(EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt())).with_type(TFloat())).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), EStateVar(EFilter(EVar('xs').with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression10(self):
e = EUnaryOp('the', EMap(EBinOp(EStateVar(ECond(EVar('isDropped').with_type(TBool()), EVar('xs').with_type(TList(TFloat())), EEmptyList().with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TList(TFloat())), '-', ESingleton(EStateVar(EListGet(EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt())).with_type(TFloat())).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '+', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TFloat()))).with_type(TList(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression11(self):
e = EUnaryOp('the', EBinOp(EMap(EListSlice(EStateVar(EListSlice(EVar('xs').with_type(TList(TFloat())), ENum(0).with_type(TInt()), ENum(1).with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('index').with_type(TInt())).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '+', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TFloat()))).with_type(TList(TFloat())), '+', EStateVar(EListSlice(EMap(EListSlice(EVar('xs').with_type(TList(TFloat())), ENum(1).with_type(TInt()), EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '+', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TFloat()))).with_type(TList(TFloat())), ENum(0).with_type(TInt()), ENum(1).with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet([EVar('index').with_type(TInt())]), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('index').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('index').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression12(self):
e = EFilter(EBinOp(EStateVar(EListSlice(EVar('xs').with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('dropped').with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat())), '+', EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), EBinOp(EStateVar(EVar('dropped').with_type(TInt())).with_type(TInt()), '+', ENum(1).with_type(TInt())).with_type(TInt()), EStateVar(EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression13(self):
e = EFilter(EBinOp(EStateVar(EFilter(EListSlice(EVar('xs').with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('dropped').with_type(TInt())).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TList(TFloat())), '+', EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), EBinOp(EStateVar(EVar('dropped').with_type(TInt())).with_type(TInt()), '+', ENum(1).with_type(TInt())).with_type(TInt()), EStateVar(EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EBinOp(ECall('log', (EBinOp(ENum(1.0).with_type(TFloat()), '+', EVar('x').with_type(TFloat())).with_type(TFloat()),)).with_type(TFloat()), '<', ECall('log', (ENum(1.5).with_type(TFloat()),)).with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('log', TFunc((TFloat(),), TFloat()))]))
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('exists', EVar('xs').with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
@unittest.skip("broken")
def test_regression14(self):
e = EArgMin(EBinOp(EMap(EFilter(EStateVar(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('_var3364692').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EUnaryOp('not', EBinOp(EGetField(EVar('_var3364692').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_id').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var8419122').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('_var8419122').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_key8419117').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_key8419117').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_timeout').with_type(TNative('mongo::Date_t')))).with_type(TBag(TNative('mongo::Date_t'))), '+', ESingleton(ECall('after', (EVar('now').with_type(TNative('mongo::Date_t')), EStateVar(EVar('hostTimeout').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))).with_type(TBag(TNative('mongo::Date_t')))).with_type(TBag(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t'))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict([('eternity', TFunc((), TNative('mongo::Date_t'))), ('after', TFunc((TNative('mongo::Date_t'), TNative('mongo::Milliseconds')), TNative('mongo::Date_t'))), ('nullConn', TFunc((), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('nullReq', TFunc((), TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))]))
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TBag(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TBag(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TBag(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression15(self):
e = EUnaryOp('the', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var1003').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('_var1003').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_key1002').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_key1002').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('now').with_type(TNative('mongo::Date_t')), EVar('lastUsed').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict([('eternity', TFunc((), TNative('mongo::Date_t'))), ('after', TFunc((TNative('mongo::Date_t'), TNative('mongo::Milliseconds')), TNative('mongo::Date_t'))), ('nullConn', TFunc((), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('nullReq', TFunc((), TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))]))
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TBag(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TBag(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TBag(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression16(self):
e = EUnaryOp('sum', EBinOp(EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), EBinOp(EVar('index').with_type(TInt()), '+', ENum(1).with_type(TInt())).with_type(TInt()), EStateVar(EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TInt())).with_type(TList(TFloat())), '+', EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('index').with_type(TInt())).with_type(TList(TFloat()))).with_type(TList(TFloat()))).with_type(TFloat())
context = RootCtx(state_vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt())]), args=OrderedSet([EVar('index').with_type(TInt())]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EVar('isDropped').with_type(TBool()), '=>', EBinOp(EBinOp(EVar('dropped').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('dropped').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('index').with_type(TInt()), '>=', ENum(0).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EVar('index').with_type(TInt()), '<', EUnaryOp('len', EVar('xs').with_type(TList(TFloat()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(e, context=context, assumptions=assumptions)
def test_regression17(self):
e = EUnaryOp('exists', EMapGet(EStateVar(EMakeMap2(EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')))).with_type(TBag(TNative('mongo::HostAndPort'))), ELambda(EVar('_var716').with_type(TNative('mongo::HostAndPort')), EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('_var716').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))))).with_type(TMap(TNative('mongo::HostAndPort'), TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))))).with_type(TMap(TNative('mongo::HostAndPort'), TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))), EGetField(EUnaryOp('the', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var379').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var379').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool())
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assert can_improve(e, context=context)
def test_regression18(self):
new_e = EFilter(EBinOp(EBinOp(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '-', ESingleton(EUnaryOp('the', EMap(EFilter(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var12666').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var12666').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var15881').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var15881').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EStateVar(EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EStateVar(EVar('retId').with_type(TInt())).with_type(TInt())), ('conn_dropped', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var19819').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var19819').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool())), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var25108').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var25108').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(new_e, context=context, assumptions=assumptions)
def test_regression19(self):
new_e = EFilter(EBinOp(EBinOp(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '-', ESingleton(EUnaryOp('the', EMap(EFilter(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var47676').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var47676').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var50891').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var50891').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EStateVar(EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EStateVar(EVar('retId').with_type(TInt())).with_type(TInt())), ('conn_dropped', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var54829').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var54829').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool())), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var60118').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var60118').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(new_e, context=context, assumptions=assumptions)
def test_regression20(self):
new_e = EArgMin(EMap(EBinOp(EFilter(EStateVar(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('_var38893').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EUnaryOp('not', EBinOp(EVar('_var38893').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'in', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var34899').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EMap(EFilter(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EBinOp(EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_id').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var34899').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '+', ESingleton(EMakeRecord((('host_id', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var40511').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var40511').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EBinOp(EBinOp(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '-', ESingleton(EUnaryOp('the', EMap(EFilter(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var47676').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var47676').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var50891').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var50891').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EStateVar(EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EStateVar(EVar('retId').with_type(TInt())).with_type(TInt())), ('conn_dropped', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var54829').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var54829').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool())), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var60118').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var60118').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EStateVar(EVar('hostTimeout').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_timeout').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t'))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(new_e, context=context, assumptions=assumptions)
def test_regression21(self):
new_e = EArgMin(EMap(EBinOp(EFilter(EStateVar(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('_var38877').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EUnaryOp('not', EBinOp(EVar('_var38877').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'in', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var34899').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EMap(EFilter(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EBinOp(EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_id').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var34899').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '+', ESingleton(EMakeRecord((('host_id', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var40491').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var40491').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EBinOp(EFilter(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var45783').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EUnaryOp('not', EBinOp(EVar('_var45783').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', 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TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var43698').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ESingleton(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var43698').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var47640').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 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TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var47640').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', 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TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var50847').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var50847').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', 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EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EStateVar(EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EStateVar(EVar('retId').with_type(TInt())).with_type(TInt())), ('conn_dropped', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var54777').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var54777').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool())), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var60034').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var60034').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EStateVar(EVar('hostTimeout').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_timeout').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t'))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(new_e, context=context, assumptions=assumptions)
@unittest.skip("broken")
def test_regression22(self):
new_e = EUnaryOp('exists', EMap(EFilter(EBinOp(EFilter(EStateVar(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var3924').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EUnaryOp('not', EBinOp(EVar('_var3924').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'in', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var3159').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ESingleton(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var3159').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), '+', ESingleton(EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var3989').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var3989').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var4380').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var4380').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EStateVar(EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds'))).with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EStateVar(EVar('retId').with_type(TInt())).with_type(TInt())), ('conn_dropped', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var4771').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var4771').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool()))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TBool())), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EMapGet(EStateVar(EMakeMap2(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBag(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ELambda(EVar('_var5726').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('_var5726').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort')))).with_type(TMap(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'), TNative('mongo::HostAndPort'))), EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6547').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('_var6547').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet([EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('now').with_type(TNative('mongo::Date_t'))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert can_improve(new_e, context=context, assumptions=assumptions)
def test_regression23(self):
e = EArgMin(EBinOp(EBinOp(EStateVar(EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_expiration').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), '+', EStateVar(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_next_refresh').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), '+', EStateVar(EMap(EFilter(EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t'))
context = RootCtx(state_vars=OrderedSet([EVar('minConnections').with_type(TInt()), EVar('maxConnections').with_type(TInt()), EVar('maxConnecting').with_type(TInt()), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('retId').with_type(TInt())]), args=OrderedSet(), funcs=OrderedDict([('eternity', TFunc((), TNative('mongo::Date_t'))), ('after', TFunc((TNative('mongo::Date_t'), TNative('mongo::Milliseconds')), TNative('mongo::Date_t'))), ('nullConn', TFunc((), TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('nullReq', TFunc((), TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))]))
assumptions = EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_last_used').with_type(TInt()), '<', EVar('retId').with_type(TInt())).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_callback').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')))).with_type(TBool()), 'and', EBinOp(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), '==', EMap(EMap(EFilter(EUnaryOp('distinct', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EVar('p').with_type(TNative('mongo::HostAndPort')))).with_type(TList(TNative('mongo::HostAndPort'))), ELambda(EVar('p').with_type(TNative('mongo::HostAndPort')), EMakeRecord((('host_id', EVar('p').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EVar('p').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
ops = [Op('markReady', [('i', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('now', TNative('mongo::Date_t')), ('lastUsed', TNative('mongo::Date_t'))], [EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool()), EBinOp(EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool()), EUnaryOp('all', EMap(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EVar('now').with_type(TNative('mongo::Date_t')), '>=', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool())], SSeq(SDecl(EVar('c'), EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), '==', EVar('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), SSeq(SCall(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), 'remove_all', (EMap(EFilter(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EBinOp(EGetField(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), 'host_id').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), ELambda(EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EVar('h').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))))).with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))),)), SSeq(SCall(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'remove', (EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))),)), SSeq(SCall(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'add', (EMakeRecord((('conn_state', EEnumEntry('READY').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))), ('conn_host', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_iface').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), ('conn_next_refresh', ECall('after', (EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))), ('conn_returned', EVar('now').with_type(TNative('mongo::Date_t'))), ('conn_last_used', EVar('retId').with_type(TInt())), ('conn_dropped', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_dropped').with_type(TBool())))).with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))),)), SSeq(SIf(EUnaryOp('not', EBinOp(EUnaryOp('exists', EMap(EFilter(EVar('reqs').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EBinOp(EGetField(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), 'rq_host').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()))).with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('r').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6546').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '==', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6547').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('_var6547').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), SCall(EVar('_idleHosts').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), 'add', (EMakeRecord((('host_id', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))), ('host_timeout', ECall('after', (EArgMax(EMap(EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EBinOp(EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort')), '==', EGetField(EVar('c').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('mongo::HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EVar('_var6549').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_state').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), '!=', EEnumEntry('CHECKED_OUT').with_type(TEnum(('READY', 'PROCESSING', 'CHECKED_OUT')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EVar('_var6550').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))).with_type(TList(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), ELambda(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), EGetField(EVar('_var6548').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('mongo::Date_t')), ('conn_returned', TNative('mongo::Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_returned').with_type(TNative('mongo::Date_t')))).with_type(TList(TNative('mongo::Date_t'))), ELambda(EVar('x').with_type(TNative('mongo::Date_t')), EVar('x').with_type(TNative('mongo::Date_t')))).with_type(TNative('mongo::Date_t')), EVar('hostTimeout').with_type(TNative('mongo::Milliseconds')))).with_type(TNative('mongo::Date_t'))))).with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))),)), SNoOp()), SAssign(EVar('retId').with_type(TInt()), EBinOp(EVar('retId').with_type(TInt()), '+', ENum(1).with_type(TInt())).with_type(TInt()))))))), '')]
assert can_improve(e, context=context, assumptions=assumptions, ops=ops)
def test_regression24(self):
e = EFilter(EStateVar(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'inUse').with_type(TBool()), '==', EVar('inUse').with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), '==', EEnumEntry('DiskAndMemory').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))).with_type(TBool()), 'or', EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), '==', EEnumEntry('MemoryOnly').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))
context = RootCtx(state_vars=OrderedSet([EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))]), args=OrderedSet([EVar('inUse').with_type(TBool())]), funcs=OrderedDict())
assumptions = EBinOp(EUnaryOp('unique', EMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t')))).with_type(TList(TNative('uint64_t')))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var36').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var36').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var37').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var36').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var36').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var38').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var37').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var38').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var37').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var38').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())
ops = [Op('add', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))], [EUnaryOp('all', EMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('x').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EGetField(EGetField(EVar('x').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t')), '!=', EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TList(TBool()))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SCall(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), 'add', (EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))),)), ''), Op('rm', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SCall(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), 'remove', (EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))),)), ''), Op('updateState', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), '!=', EVar('st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SAssign(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), EVar('st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))), ''), Op('updateInUse', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ('inUse', TBool())], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'inUse').with_type(TBool()), '!=', EVar('inUse').with_type(TBool())).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SAssign(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'inUse').with_type(TBool()), EVar('inUse').with_type(TBool())), '')]
assert can_improve(e, context=context, assumptions=assumptions, ops=ops)
def test_regression25(self):
e = EMapGet(EStateVar(EMakeMap2(EFilter(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var54686').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EGetField(EGetField(EVar('_var54686').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), '==', EEnumEntry('Disk').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))).with_type(TBool()))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var132170').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EGetField(EGetField(EVar('_var132170').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'diskSize').with_type(TInt()))).with_type(TMap(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), TInt()))).with_type(TMap(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), TInt())), EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TInt())
context = RootCtx(state_vars=OrderedSet([EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))]), args=OrderedSet([EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))]), funcs=OrderedDict())
assumptions = EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t')))).with_type(TBag(TNative('uint64_t')))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool())
ops = [Op('add', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))], [EUnaryOp('all', EMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('x').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EGetField(EGetField(EVar('x').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t')), '!=', EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'key').with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var12').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var13').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var14').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SCall(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), 'add', (EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))),)), ''), Op('rm', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var15').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var16').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var17').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SCall(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), 'remove', (EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))),)), ''), Op('updateState', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), '!=', EVar('st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var18').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var19').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var20').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SAssign(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), EVar('st').with_type(TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))), ''), Op('updateInUse', [('e', THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ('inUse', TBool())], [EBinOp(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'in', EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBool()), EBinOp(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'inUse').with_type(TBool()), '!=', EVar('inUse').with_type(TBool())).with_type(TBool()), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EUnaryOp('all', EMap(EBinOp(EFlatMap(EVar('entries').with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), ESingleton(EVar('_var21').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), '+', ESingleton(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))))).with_type(TBag(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))), ELambda(EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), EBinOp(EBinOp(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), '==', EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))))).with_type(TBool()), '=>', EBinOp(EGetField(EVar('_var22').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), '==', EGetField(EVar('_var23').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())], SAssign(EGetField(EGetField(EVar('e').with_type(THandle('Entry', TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool()))))), 'val').with_type(TRecord((('key', TNative('uint64_t')), ('pixmap', TNative('QPixmap *')), ('indexData', TNative('QByteArray')), ('memSize', TInt()), ('diskSize', TInt()), ('st', TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))), ('inUse', TBool())))), 'inUse').with_type(TBool()), EVar('inUse').with_type(TBool())), '')]
assert can_improve(e, context=context, assumptions=assumptions, ops=ops)
def test_regression26(self):
e = EUnaryOp('distinct', EBinOp(EStateVar(EMap(EFilter(EVar('lineitem').with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), EBinOp(EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'shipdate').with_type(TNative('uint64_t')), '<=', ECall('exampleDate1', ()).with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), ETuple((EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'returnflag').with_type(TNative('char')), EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'linestatus').with_type(TNative('char')))).with_type(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char'))))), '+', EMap(EFilter(ESingleton(EMakeRecord((('orderkey', EVar('orderkey').with_type(TInt())), ('partkey', EVar('partkey').with_type(TInt())), ('suppkey', EVar('suppkey').with_type(TInt())), ('linenumber', EVar('linenumber').with_type(TInt())), ('quantity', EVar('quantity').with_type(TFloat())), ('extendedprice', EVar('extendedprice').with_type(TFloat())), ('discount', EVar('discount').with_type(TFloat())), ('tax', EVar('tax').with_type(TFloat())), ('returnflag', EVar('returnflag').with_type(TNative('char'))), ('linestatus', EVar('linestatus').with_type(TNative('char'))), ('shipdate', EVar('shipdate').with_type(TNative('uint64_t'))), ('commitdate', EVar('commitdate').with_type(TNative('uint64_t'))), ('receiptdate', EVar('receiptdate').with_type(TNative('uint64_t'))), ('shipinstruct', EVar('shipinstruct').with_type(TString())), ('shipmode', EVar('shipmode').with_type(TString())), ('comment', EVar('comment').with_type(TString())))).with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), EBinOp(EVar('shipdate').with_type(TNative('uint64_t')), '<=', ECall('exampleDate1', ()).with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), ETuple((EVar('returnflag').with_type(TNative('char')), EVar('linestatus').with_type(TNative('char')))).with_type(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))
context = RootCtx(state_vars=OrderedSet([EVar('lineitem').with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), EVar('orders').with_type(TBag(TRecord((('orderkey', TInt()), ('custkey', TInt()), ('orderstatus', TNative('char')), ('totalprice', TFloat()), ('orderdate', TNative('uint64_t')), ('orderpriority', TString()), ('clerk', TString()), ('shippriority', TInt()), ('comment', TString()))))), EVar('part').with_type(TBag(TRecord((('partkey', TInt()), ('name', TString()), ('mfgr', TString()), ('brand', TString()), ('part_type', TString()), ('size', TInt()), ('container', TString()), ('retailprice', TFloat()), ('comment', TString()))))), EVar('customer').with_type(TBag(TRecord((('custkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('mktsegment', TString()), ('comment', TString()))))), EVar('supplier').with_type(TBag(TRecord((('suppkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('comment', TString()))))), EVar('partsupp').with_type(TBag(TRecord((('partkey', TInt()), ('suppkey', TInt()), ('availqty', TInt()), ('supplycost', TFloat()), ('comment', TString()))))), EVar('nation').with_type(TBag(TRecord((('nationkey', TInt()), ('name', TString()), ('regionkey', TInt()), ('comment', TString()))))), EVar('region').with_type(TBag(TRecord((('regionkey', TInt()), ('name', TString()), ('comment', TString())))))]), args=OrderedSet([EVar('orderkey').with_type(TInt()), EVar('partkey').with_type(TInt()), EVar('suppkey').with_type(TInt()), EVar('linenumber').with_type(TInt()), EVar('quantity').with_type(TFloat()), EVar('extendedprice').with_type(TFloat()), EVar('discount').with_type(TFloat()), EVar('tax').with_type(TFloat()), EVar('returnflag').with_type(TNative('char')), EVar('linestatus').with_type(TNative('char')), EVar('shipdate').with_type(TNative('uint64_t')), EVar('commitdate').with_type(TNative('uint64_t')), EVar('receiptdate').with_type(TNative('uint64_t')), EVar('shipinstruct').with_type(TString()), EVar('shipmode').with_type(TString()), EVar('comment').with_type(TString())]), funcs=OrderedDict([('div', TFunc((TFloat(), TFloat()), TFloat())), ('fmul', TFunc((TFloat(), TFloat()), TFloat())), ('int2float', TFunc((TInt(),), TFloat())), ('endswith', TFunc((TString(), TString()), TBool())), ('brand23', TFunc((), TString())), ('medbox', TFunc((), TString())), ('brass', TFunc((), TString())), ('europe', TFunc((), TString())), ('building', TFunc((), TString())), ('exampleDate1', TFunc((), TNative('uint64_t'))), ('exampleDate2', TFunc((), TNative('uint64_t'))), ('exampleDate3', TFunc((), TNative('uint64_t'))), ('exampleDate4', TFunc((), TNative('uint64_t')))]))
assert can_improve(e, context=context)
def test_regression27(self):
e = EFilter(ESingleton(EMakeRecord((('orderkey', EVar('orderkey').with_type(TInt())), ('partkey', EVar('partkey').with_type(TInt())), ('suppkey', EVar('suppkey').with_type(TInt())), ('linenumber', EVar('linenumber').with_type(TInt())), ('quantity', EVar('quantity').with_type(TFloat())), ('extendedprice', EVar('extendedprice').with_type(TFloat())), ('discount', EVar('discount').with_type(TFloat())), ('tax', EVar('tax').with_type(TFloat())), ('returnflag', EVar('returnflag').with_type(TNative('char'))), ('linestatus', EVar('linestatus').with_type(TNative('char'))), ('shipdate', EVar('shipdate').with_type(TNative('uint64_t'))), ('commitdate', EVar('commitdate').with_type(TNative('uint64_t'))), ('receiptdate', EVar('receiptdate').with_type(TNative('uint64_t'))), ('shipinstruct', EVar('shipinstruct').with_type(TString())), ('shipmode', EVar('shipmode').with_type(TString())), ('comment', EVar('comment').with_type(TString())))).with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), EBinOp(EVar('shipdate').with_type(TNative('uint64_t')), '<=', ECall('exampleDate1', ()).with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))))
context = RootCtx(state_vars=OrderedSet([EVar('lineitem').with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), EVar('orders').with_type(TBag(TRecord((('orderkey', TInt()), ('custkey', TInt()), ('orderstatus', TNative('char')), ('totalprice', TFloat()), ('orderdate', TNative('uint64_t')), ('orderpriority', TString()), ('clerk', TString()), ('shippriority', TInt()), ('comment', TString()))))), EVar('part').with_type(TBag(TRecord((('partkey', TInt()), ('name', TString()), ('mfgr', TString()), ('brand', TString()), ('part_type', TString()), ('size', TInt()), ('container', TString()), ('retailprice', TFloat()), ('comment', TString()))))), EVar('customer').with_type(TBag(TRecord((('custkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('mktsegment', TString()), ('comment', TString()))))), EVar('supplier').with_type(TBag(TRecord((('suppkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('comment', TString()))))), EVar('partsupp').with_type(TBag(TRecord((('partkey', TInt()), ('suppkey', TInt()), ('availqty', TInt()), ('supplycost', TFloat()), ('comment', TString()))))), EVar('nation').with_type(TBag(TRecord((('nationkey', TInt()), ('name', TString()), ('regionkey', TInt()), ('comment', TString()))))), EVar('region').with_type(TBag(TRecord((('regionkey', TInt()), ('name', TString()), ('comment', TString())))))]), args=OrderedSet([EVar('orderkey').with_type(TInt()), EVar('partkey').with_type(TInt()), EVar('suppkey').with_type(TInt()), EVar('linenumber').with_type(TInt()), EVar('quantity').with_type(TFloat()), EVar('extendedprice').with_type(TFloat()), EVar('discount').with_type(TFloat()), EVar('tax').with_type(TFloat()), EVar('returnflag').with_type(TNative('char')), EVar('linestatus').with_type(TNative('char')), EVar('shipdate').with_type(TNative('uint64_t')), EVar('commitdate').with_type(TNative('uint64_t')), EVar('receiptdate').with_type(TNative('uint64_t')), EVar('shipinstruct').with_type(TString()), EVar('shipmode').with_type(TString()), EVar('comment').with_type(TString())]), funcs=OrderedDict([('div', TFunc((TFloat(), TFloat()), TFloat())), ('fmul', TFunc((TFloat(), TFloat()), TFloat())), ('int2float', TFunc((TInt(),), TFloat())), ('endswith', TFunc((TString(), TString()), TBool())), ('brand23', TFunc((), TString())), ('medbox', TFunc((), TString())), ('brass', TFunc((), TString())), ('europe', TFunc((), TString())), ('building', TFunc((), TString())), ('exampleDate1', TFunc((), TNative('uint64_t'))), ('exampleDate2', TFunc((), TNative('uint64_t'))), ('exampleDate3', TFunc((), TNative('uint64_t'))), ('exampleDate4', TFunc((), TNative('uint64_t')))]))
assert can_improve(e, context=context)
def test_regression28(self):
e = EUnaryOp('distinct', EBinOp(EStateVar(EMap(EFilter(EVar('lineitem').with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), EBinOp(EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'shipdate').with_type(TNative('uint64_t')), '<=', ECall('exampleDate1', ()).with_type(TNative('uint64_t'))).with_type(TBool()))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), ETuple((EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'returnflag').with_type(TNative('char')), EGetField(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), 'linestatus').with_type(TNative('char')))).with_type(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char'))))), '+', EMap(ECond(EBinOp(EVar('shipdate').with_type(TNative('uint64_t')), '<=', ECall('exampleDate1', ()).with_type(TNative('uint64_t'))).with_type(TBool()), ESingleton(EMakeRecord((('orderkey', EVar('orderkey').with_type(TInt())), ('partkey', EVar('partkey').with_type(TInt())), ('suppkey', EVar('suppkey').with_type(TInt())), ('linenumber', EVar('linenumber').with_type(TInt())), ('quantity', EVar('quantity').with_type(TFloat())), ('extendedprice', EVar('extendedprice').with_type(TFloat())), ('discount', EVar('discount').with_type(TFloat())), ('tax', EVar('tax').with_type(TFloat())), ('returnflag', EVar('returnflag').with_type(TNative('char'))), ('linestatus', EVar('linestatus').with_type(TNative('char'))), ('shipdate', EVar('shipdate').with_type(TNative('uint64_t'))), ('commitdate', EVar('commitdate').with_type(TNative('uint64_t'))), ('receiptdate', EVar('receiptdate').with_type(TNative('uint64_t'))), ('shipinstruct', EVar('shipinstruct').with_type(TString())), ('shipmode', EVar('shipmode').with_type(TString())), ('comment', EVar('comment').with_type(TString())))).with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), EEmptyList().with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))))).with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), ELambda(EVar('l').with_type(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString())))), ETuple((EVar('returnflag').with_type(TNative('char')), EVar('linestatus').with_type(TNative('char')))).with_type(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))).with_type(TBag(TTuple((TNative('char'), TNative('char')))))
context = RootCtx(state_vars=OrderedSet([EVar('lineitem').with_type(TBag(TRecord((('orderkey', TInt()), ('partkey', TInt()), ('suppkey', TInt()), ('linenumber', TInt()), ('quantity', TFloat()), ('extendedprice', TFloat()), ('discount', TFloat()), ('tax', TFloat()), ('returnflag', TNative('char')), ('linestatus', TNative('char')), ('shipdate', TNative('uint64_t')), ('commitdate', TNative('uint64_t')), ('receiptdate', TNative('uint64_t')), ('shipinstruct', TString()), ('shipmode', TString()), ('comment', TString()))))), EVar('orders').with_type(TBag(TRecord((('orderkey', TInt()), ('custkey', TInt()), ('orderstatus', TNative('char')), ('totalprice', TFloat()), ('orderdate', TNative('uint64_t')), ('orderpriority', TString()), ('clerk', TString()), ('shippriority', TInt()), ('comment', TString()))))), EVar('part').with_type(TBag(TRecord((('partkey', TInt()), ('name', TString()), ('mfgr', TString()), ('brand', TString()), ('part_type', TString()), ('size', TInt()), ('container', TString()), ('retailprice', TFloat()), ('comment', TString()))))), EVar('customer').with_type(TBag(TRecord((('custkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('mktsegment', TString()), ('comment', TString()))))), EVar('supplier').with_type(TBag(TRecord((('suppkey', TInt()), ('name', TString()), ('address', TString()), ('nationkey', TInt()), ('phone', TString()), ('acctbal', TFloat()), ('comment', TString()))))), EVar('partsupp').with_type(TBag(TRecord((('partkey', TInt()), ('suppkey', TInt()), ('availqty', TInt()), ('supplycost', TFloat()), ('comment', TString()))))), EVar('nation').with_type(TBag(TRecord((('nationkey', TInt()), ('name', TString()), ('regionkey', TInt()), ('comment', TString()))))), EVar('region').with_type(TBag(TRecord((('regionkey', TInt()), ('name', TString()), ('comment', TString())))))]), args=OrderedSet([EVar('orderkey').with_type(TInt()), EVar('partkey').with_type(TInt()), EVar('suppkey').with_type(TInt()), EVar('linenumber').with_type(TInt()), EVar('quantity').with_type(TFloat()), EVar('extendedprice').with_type(TFloat()), EVar('discount').with_type(TFloat()), EVar('tax').with_type(TFloat()), EVar('returnflag').with_type(TNative('char')), EVar('linestatus').with_type(TNative('char')), EVar('shipdate').with_type(TNative('uint64_t')), EVar('commitdate').with_type(TNative('uint64_t')), EVar('receiptdate').with_type(TNative('uint64_t')), EVar('shipinstruct').with_type(TString()), EVar('shipmode').with_type(TString()), EVar('comment').with_type(TString())]), funcs=OrderedDict([('div', TFunc((TFloat(), TFloat()), TFloat())), ('fmul', TFunc((TFloat(), TFloat()), TFloat())), ('int2float', TFunc((TInt(),), TFloat())), ('endswith', TFunc((TString(), TString()), TBool())), ('brand23', TFunc((), TString())), ('medbox', TFunc((), TString())), ('brass', TFunc((), TString())), ('europe', TFunc((), TString())), ('building', TFunc((), TString())), ('exampleDate1', TFunc((), TNative('uint64_t'))), ('exampleDate2', TFunc((), TNative('uint64_t'))), ('exampleDate3', TFunc((), TNative('uint64_t'))), ('exampleDate4', TFunc((), TNative('uint64_t')))]))
assert can_improve(e, context=context)
| 2,858.503846
| 47,908
| 0.681292
| 82,740
| 743,211
| 5.915639
| 0.005717
| 0.119054
| 0.069955
| 0.074327
| 0.993405
| 0.992447
| 0.991856
| 0.991278
| 0.989981
| 0.989211
| 0
| 0.003001
| 0.046827
| 743,211
| 259
| 47,909
| 2,869.540541
| 0.687927
| 0.000496
| 0
| 0.327189
| 0
| 0
| 0.485123
| 0.096073
| 0.073733
| 0
| 0
| 0
| 0.138249
| 1
| 0.147465
| false
| 0
| 0.064516
| 0
| 0.221198
| 0.082949
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
79214374e88987a960407f6c5154659aaaeb674a
| 7,459
|
py
|
Python
|
niapy/tests/test_hde.py
|
chinmay3/NiaPy
|
b4e5c0f98063e2a9eebd8d750f0922cfca88bc55
|
[
"MIT"
] | null | null | null |
niapy/tests/test_hde.py
|
chinmay3/NiaPy
|
b4e5c0f98063e2a9eebd8d750f0922cfca88bc55
|
[
"MIT"
] | 1
|
2021-08-13T07:52:40.000Z
|
2021-08-16T08:52:20.000Z
|
niapy/tests/test_hde.py
|
chinmay3/NiaPy
|
b4e5c0f98063e2a9eebd8d750f0922cfca88bc55
|
[
"MIT"
] | 2
|
2021-08-08T08:29:53.000Z
|
2021-08-12T15:31:55.000Z
|
# encoding=utf8
from niapy.algorithms.modified import DifferentialEvolutionMTS, DifferentialEvolutionMTSv1, \
MultiStrategyDifferentialEvolutionMTS, MultiStrategyDifferentialEvolutionMTSv1, \
DynNpMultiStrategyDifferentialEvolutionMTS, DynNpMultiStrategyDifferentialEvolutionMTSv1, \
DynNpDifferentialEvolutionMTS, DynNpDifferentialEvolutionMTSv1
from niapy.tests.test_algorithm import AlgorithmTestCase, MyProblem
class DEMTSTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DifferentialEvolutionMTS
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class DEMTSv1TestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DifferentialEvolutionMTSv1
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class DynNpDEMTSTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DynNpDifferentialEvolutionMTS
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem())
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class DynNpDEMTSv1TestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DynNpDifferentialEvolutionMTSv1
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, p_max=10, rp=3, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class MSDEMTSTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = MultiStrategyDifferentialEvolutionMTS
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem())
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class MSDEMTSv1STestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = MultiStrategyDifferentialEvolutionMTSv1
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class DynNpMSDEMTSTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DynNpMultiStrategyDifferentialEvolutionMTS
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
class DynNpMSDEMTSv1TestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = DynNpMultiStrategyDifferentialEvolutionMTSv1
def test_custom(self):
ca_custom = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_customc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_custom, ca_customc, MyProblem(), max_iters=100)
def test_griewank(self):
ca_griewank = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
ca_griewankc = self.algo(population_size=10, num_tests=1, num_searches=2, num_enabled=2, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, ca_griewank, ca_griewankc, max_iters=100)
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
| 54.445255
| 128
| 0.751173
| 1,033
| 7,459
| 5.169409
| 0.057115
| 0.059925
| 0.107865
| 0.131835
| 0.842884
| 0.842884
| 0.842884
| 0.842884
| 0.842884
| 0.748502
| 0
| 0.037973
| 0.145596
| 7,459
| 136
| 129
| 54.845588
| 0.799937
| 0.008982
| 0
| 0.792079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.237624
| false
| 0
| 0.019802
| 0
| 0.336634
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f74160a2765945cf319970ed73c6e94e1bffa696
| 15,596
|
py
|
Python
|
src/outpost/django/typo3/migrations/0004_content.py
|
medunigraz/outpost.django.typo3
|
d3ba82189d78ecae73342707940c91ebe958a29e
|
[
"BSD-2-Clause"
] | null | null | null |
src/outpost/django/typo3/migrations/0004_content.py
|
medunigraz/outpost.django.typo3
|
d3ba82189d78ecae73342707940c91ebe958a29e
|
[
"BSD-2-Clause"
] | null | null | null |
src/outpost/django/typo3/migrations/0004_content.py
|
medunigraz/outpost.django.typo3
|
d3ba82189d78ecae73342707940c91ebe958a29e
|
[
"BSD-2-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2021-04-22 12:52
from __future__ import unicode_literals
from django.db import migrations
from django.conf import settings
class Migration(migrations.Migration):
ops = [
(
"""
CREATE FOREIGN TABLE "typo3"."content" (
uid int,
pid int,
tstamp bigint,
crdate bigint,
cruser_id int,
sorting int,
deleted smallint,
hidden smallint,
CType varchar,
header varchar,
bodytext text,
header_link varchar,
list_type varchar,
tx_news_related_news int
)
SERVER sqlalchemy OPTIONS (
tablename 'tt_content',
db_url '{typo3}'
);
""".format(
typo3=settings.MULTICORN.get("typo3")
),
"""
DROP FOREIGN TABLE IF EXISTS "typo3"."content";
""",
),
(
"""
DROP MATERIALIZED VIEW IF EXISTS "public"."typo3_newsmedia";
""",
"""
CREATE MATERIALIZED VIEW "public"."typo3_newsmedia" AS
SELECT
r.uid AS id,
r.uid_local AS media_id,
r.uid_foreign AS news_id,
CASE
btrim(r.title, ' ')
WHEN
''
THEN
NULL
ELSE
btrim(r.title, ' ')
END AS title,
CASE
btrim(r.description, ' ')
WHEN
''
THEN
NULL
ELSE
btrim(r.description, ' ')
END AS description,
CASE
btrim(r.alternative, ' ')
WHEN
''
THEN
NULL
ELSE
btrim(r.alternative, ' ')
END AS alternative,
CASE WHEN
r.sys_language_uid <= 0
THEN
NULL::integer
ELSE
r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::int::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r
WHERE
r.tablenames = 'tx_news_domain_model_news'
AND
r.table_local = 'sys_file'
AND
(
r.fieldname = ANY (ARRAY['fal_media', 'fal_related_files'])
)
AND
r.uid_foreign = n.uid
AND
r.deleted = 0
AND
r.hidden = 0
AND
(
n.starttime = 0
OR
to_timestamp(n.starttime) < now()
)
AND
(
n.endtime = 0
OR
to_timestamp(n.endtime) > now()
)
AND
n.deleted = 0
AND
n.hidden = 0
AND
n.is_event = 0
WITH DATA;
""",
),
(
"""
CREATE MATERIALIZED VIEW "public"."typo3_newsmedia" AS
SELECT r.uid AS id,
r.uid_local AS media_id,
n.uid AS news_id,
CASE btrim(r.title::text, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.title::text, ' '::text)
END AS title,
CASE btrim(r.description, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.description, ' '::text)
END AS description,
CASE btrim(r.alternative, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.alternative, ' '::text)
END AS alternative,
CASE
WHEN r.sys_language_uid <= 0 THEN NULL::integer
ELSE r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::integer::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r,
typo3."content" c
WHERE
c.tx_news_related_news = n.uid AND
c.uid = r.uid_foreign AND
r.tablenames = 'tt_content' AND
(r.fieldname = ANY (ARRAY['assets', 'image'])) AND
r.table_local = 'sys_file' AND
r.deleted = 0 AND
r.hidden = 0 AND
(n.starttime = 0 OR to_timestamp(n.starttime::double precision) < now()) AND
(n.endtime = 0 OR to_timestamp(n.endtime::double precision) > now()) AND
n.deleted = 0 AND
n.hidden = 0 AND
n.is_event = 0
UNION ALL
SELECT r.uid AS id,
r.uid_local AS media_id,
n.uid AS news_id,
CASE btrim(r.title::text, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.title::text, ' '::text)
END AS title,
CASE btrim(r.description, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.description, ' '::text)
END AS description,
CASE btrim(r.alternative, ' '::text)
WHEN ''::text THEN NULL::text
ELSE btrim(r.alternative, ' '::text)
END AS alternative,
CASE
WHEN r.sys_language_uid <= 0 THEN NULL::integer
ELSE r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::integer::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r
WHERE
r.tablenames = 'tx_news_domain_model_news' AND
(r.fieldname = ANY (ARRAY['fal_media', 'fal_related_files'])) AND
r.uid_foreign = n.uid AND
r.table_local = 'sys_file' AND
r.deleted = 0 AND
r.hidden = 0 AND
(n.starttime = 0 OR to_timestamp(n.starttime::double precision) < now()) AND
(n.endtime = 0 OR to_timestamp(n.endtime::double precision) > now()) AND
n.deleted = 0 AND
n.hidden = 0 AND
n.is_event = 0;
""",
"""
DROP MATERIALIZED VIEW IF EXISTS "public"."typo3_newsmedia";
""",
),
(
"""
DROP MATERIALIZED VIEW IF EXISTS "public"."typo3_eventmedia";
""",
"""
CREATE MATERIALIZED VIEW "public"."typo3_eventmedia" AS
SELECT
r.uid AS id,
r.uid_local AS media_id,
n.uid AS event_id,
CASE
btrim(r.title, ' ')
WHEN
''
THEN
NULL
ELSE
btrim(r.title, ' ')
END AS title,
CASE
btrim(r.description, ' ')
WHEN
''
THEN NULL
ELSE
btrim(r.description, ' ')
END AS description,
CASE
btrim(r.alternative, ' ')
WHEN
''
THEN
NULL
ELSE
btrim(r.alternative, ' ')
END AS alternative,
CASE WHEN
r.sys_language_uid <= 0
THEN
NULL
ELSE
r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::int::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r
WHERE
r.tablenames = 'tx_news_domain_model_news'
AND
r.table_local = 'sys_file'
AND
(
r.fieldname = ANY (ARRAY['fal_media', 'fal_related_files'])
)
AND
r.uid_foreign = n.uid
AND
r.deleted = 0
AND
r.hidden = 0
AND
n.datetime <> 0
AND
n.event_end <> 0
AND
(
n.starttime = 0
OR
to_timestamp(n.starttime) > now()
)
AND
(
CASE
n.full_day
WHEN
1
THEN
to_timestamp(n.event_end) + '24:00:00'::INTERVAL
ELSE
to_timestamp(n.event_end)
END
) > now()
AND
n.deleted = 0
AND
n.hidden = 0
AND
n.is_event = 1
WITH DATA;
""",
),
(
"""
CREATE MATERIALIZED VIEW "public"."typo3_eventmedia" AS
SELECT r.uid AS id,
r.uid_local AS media_id,
n.uid AS event_id,
CASE
btrim(r.title::text, ' '::text)
WHEN
''::text
THEN
NULL::text
ELSE
btrim(r.title::text, ' '::text)
END AS title,
CASE
btrim(r.description, ' '::text)
WHEN
''::text THEN NULL::text
ELSE
btrim(r.description, ' '::text)
END AS description,
CASE
btrim(r.alternative, ' '::text)
WHEN
''::text THEN NULL::text
ELSE
btrim(r.alternative, ' '::text)
END AS alternative,
CASE WHEN
r.sys_language_uid <= 0
THEN
NULL::integer
ELSE
r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::integer::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r,
typo3.content c
WHERE
c.tx_news_related_news = n.uid
AND
c.uid = r.uid_foreign
AND
r.tablenames = 'tt_content'
AND
(
r.fieldname::text = ANY (ARRAY['assets'::text, 'image'::text])
)
AND
r.table_local = 'sys_file'
AND
r.deleted = 0
AND
r.hidden = 0
AND
n.datetime <> 0
AND
n.event_end <> 0
AND
(
n.starttime = 0
OR
to_timestamp(n.starttime::double precision) > now()
)
AND
CASE
n.full_day
WHEN
1
THEN
to_timestamp(n.event_end::double precision) + '24:00:00'::interval
ELSE
to_timestamp(n.event_end::double precision)
END > now()
AND
n.deleted = 0
AND
n.hidden = 0
AND
n.is_event = 1
UNION ALL
SELECT r.uid AS id,
r.uid_local AS media_id,
n.uid AS event_id,
CASE
btrim(r.title::text, ' '::text)
WHEN
''::text
THEN
NULL::text
ELSE
btrim(r.title::text, ' '::text)
END AS title,
CASE
btrim(r.description, ' '::text)
WHEN
''::text THEN NULL::text
ELSE
btrim(r.description, ' '::text)
END AS description,
CASE
btrim(r.alternative, ' '::text)
WHEN
''::text THEN NULL::text
ELSE
btrim(r.alternative, ' '::text)
END AS alternative,
CASE WHEN
r.sys_language_uid <= 0
THEN
NULL::integer
ELSE
r.sys_language_uid
END AS language_id,
r.sorting AS "order",
r.showinpreview::integer::boolean AS preview
FROM
typo3.news n,
typo3.file_reference r
WHERE
r.tablenames::text = 'tx_news_domain_model_news'::text
AND
r.table_local::text = 'sys_file'::text
AND
(
r.fieldname::text = ANY (ARRAY['fal_media'::text, 'fal_related_files'::text])
)
AND
r.uid_foreign = n.uid
AND
r.deleted = 0
AND
r.hidden = 0
AND
n.datetime <> 0
AND
n.event_end <> 0
AND
(
n.starttime = 0
OR
to_timestamp(n.starttime::double precision) > now())
AND
CASE
n.full_day
WHEN
1
THEN
to_timestamp(n.event_end::double precision) + '24:00:00'::interval
ELSE
to_timestamp(n.event_end::double precision)
END > now()
AND
n.deleted = 0
AND
n.hidden = 0
AND
n.is_event = 1
WITH DATA;
""",
"""
DROP MATERIALIZED VIEW IF EXISTS "public"."typo3_eventmedia";
""",
),
]
dependencies = [("typo3", "0003_views")]
operations = [
migrations.RunSQL(
[forward for forward, reverse in ops],
[reverse for forward, reverse in reversed(ops)],
)
]
| 32.559499
| 97
| 0.368684
| 1,350
| 15,596
| 4.137778
| 0.104444
| 0.038668
| 0.021482
| 0.032223
| 0.874329
| 0.865199
| 0.858575
| 0.856069
| 0.821339
| 0.821339
| 0
| 0.017615
| 0.555912
| 15,596
| 478
| 98
| 32.627615
| 0.788911
| 0.004424
| 0
| 0.171429
| 1
| 0
| 0.028129
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.085714
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
f77334d9b47a87b397c972649041bdcae204d23e
| 26,952
|
py
|
Python
|
ultracart/api/chargeback_api.py
|
UltraCart/rest_api_v2_sdk_python
|
d734ea13fabc7a57872ff68bac06861edb8fd882
|
[
"Apache-2.0"
] | 1
|
2018-03-15T16:56:23.000Z
|
2018-03-15T16:56:23.000Z
|
ultracart/api/chargeback_api.py
|
UltraCart/rest_api_v2_sdk_python
|
d734ea13fabc7a57872ff68bac06861edb8fd882
|
[
"Apache-2.0"
] | null | null | null |
ultracart/api/chargeback_api.py
|
UltraCart/rest_api_v2_sdk_python
|
d734ea13fabc7a57872ff68bac06861edb8fd882
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
UltraCart Rest API V2
UltraCart REST API Version 2 # noqa: E501
OpenAPI spec version: 2.0.0
Contact: support@ultracart.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from ultracart.api_client import ApiClient
from ultracart.configuration import Configuration
class ChargebackApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
@classmethod
def fromApiKey(cls, apiKey, verify_ssl = True, debug = False):
config = Configuration()
config.api_key['x-ultracart-simple-key'] = apiKey
config.debug = debug
config.verify_ssl = verify_ssl
api_client = ApiClient(configuration=config, header_name='X-UltraCart-Api-Version', header_value='2017-03-01')
return ChargebackApi(api_client)
def delete_chargeback(self, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Delete a chargeback # noqa: E501
Delete a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_chargeback(chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int chargeback_dispute_oid: The chargeback_dispute_oid to delete. (required)
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_chargeback_with_http_info(chargeback_dispute_oid, **kwargs) # noqa: E501
else:
(data) = self.delete_chargeback_with_http_info(chargeback_dispute_oid, **kwargs) # noqa: E501
return data
def delete_chargeback_with_http_info(self, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Delete a chargeback # noqa: E501
Delete a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_chargeback_with_http_info(chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int chargeback_dispute_oid: The chargeback_dispute_oid to delete. (required)
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['chargeback_dispute_oid'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_chargeback" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'chargeback_dispute_oid' is set
if ('chargeback_dispute_oid' not in params or
params['chargeback_dispute_oid'] is None):
raise ValueError("Missing the required parameter `chargeback_dispute_oid` when calling `delete_chargeback`") # noqa: E501
collection_formats = {}
path_params = {}
if 'chargeback_dispute_oid' in params:
path_params['chargeback_dispute_oid'] = params['chargeback_dispute_oid'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json; charset=UTF-8']) # noqa: E501
# Authentication setting
auth_settings = ['ultraCartOauth', 'ultraCartSimpleApiKey'] # noqa: E501
return self.api_client.call_api(
'/chargeback/chargebacks/{chargeback_dispute_oid}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ChargebackDisputeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_chargeback_dispute(self, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Retrieve a chargeback # noqa: E501
Retrieves a single chargeback using the specified chargeback dispute oid. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_chargeback_dispute(chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int chargeback_dispute_oid: The chargeback dispute oid to retrieve. (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_chargeback_dispute_with_http_info(chargeback_dispute_oid, **kwargs) # noqa: E501
else:
(data) = self.get_chargeback_dispute_with_http_info(chargeback_dispute_oid, **kwargs) # noqa: E501
return data
def get_chargeback_dispute_with_http_info(self, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Retrieve a chargeback # noqa: E501
Retrieves a single chargeback using the specified chargeback dispute oid. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_chargeback_dispute_with_http_info(chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int chargeback_dispute_oid: The chargeback dispute oid to retrieve. (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['chargeback_dispute_oid', 'expand'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_chargeback_dispute" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'chargeback_dispute_oid' is set
if ('chargeback_dispute_oid' not in params or
params['chargeback_dispute_oid'] is None):
raise ValueError("Missing the required parameter `chargeback_dispute_oid` when calling `get_chargeback_dispute`") # noqa: E501
collection_formats = {}
path_params = {}
if 'chargeback_dispute_oid' in params:
path_params['chargeback_dispute_oid'] = params['chargeback_dispute_oid'] # noqa: E501
query_params = []
if 'expand' in params:
query_params.append(('_expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ultraCartOauth', 'ultraCartSimpleApiKey'] # noqa: E501
return self.api_client.call_api(
'/chargeback/chargebacks/{chargeback_dispute_oid}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ChargebackDisputeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_chargeback_disputes(self, **kwargs): # noqa: E501
"""Retrieve chargebacks # noqa: E501
Retrieves chargebacks from the account. If no parameters are specified, all chargebacks will be returned. You will need to make multiple API calls in order to retrieve the entire result set since this API performs result set pagination. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_chargeback_disputes(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str order_id: Order Id
:param str case_number: Case number
:param str status: Status
:param str expiration_dts_start: Expiration dts start
:param str expiration_dts_end: Expiration dts end
:param str chargeback_dts_start: Chargeback dts start
:param str chargeback_dts_end: Chargeback dts end
:param int limit: The maximum number of records to return on this one API call. (Max 200)
:param int offset: Pagination of the record set. Offset is a zero based index.
:param str since: Fetch chargebacks that have been created/modified since this date/time.
:param str sort: The sort order of the chargebacks. See Sorting documentation for examples of using multiple values and sorting by ascending and descending.
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputesResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_chargeback_disputes_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_chargeback_disputes_with_http_info(**kwargs) # noqa: E501
return data
def get_chargeback_disputes_with_http_info(self, **kwargs): # noqa: E501
"""Retrieve chargebacks # noqa: E501
Retrieves chargebacks from the account. If no parameters are specified, all chargebacks will be returned. You will need to make multiple API calls in order to retrieve the entire result set since this API performs result set pagination. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_chargeback_disputes_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str order_id: Order Id
:param str case_number: Case number
:param str status: Status
:param str expiration_dts_start: Expiration dts start
:param str expiration_dts_end: Expiration dts end
:param str chargeback_dts_start: Chargeback dts start
:param str chargeback_dts_end: Chargeback dts end
:param int limit: The maximum number of records to return on this one API call. (Max 200)
:param int offset: Pagination of the record set. Offset is a zero based index.
:param str since: Fetch chargebacks that have been created/modified since this date/time.
:param str sort: The sort order of the chargebacks. See Sorting documentation for examples of using multiple values and sorting by ascending and descending.
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputesResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['order_id', 'case_number', 'status', 'expiration_dts_start', 'expiration_dts_end', 'chargeback_dts_start', 'chargeback_dts_end', 'limit', 'offset', 'since', 'sort', 'expand'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_chargeback_disputes" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'order_id' in params:
query_params.append(('order_id', params['order_id'])) # noqa: E501
if 'case_number' in params:
query_params.append(('case_number', params['case_number'])) # noqa: E501
if 'status' in params:
query_params.append(('status', params['status'])) # noqa: E501
if 'expiration_dts_start' in params:
query_params.append(('expiration_dts_start', params['expiration_dts_start'])) # noqa: E501
if 'expiration_dts_end' in params:
query_params.append(('expiration_dts_end', params['expiration_dts_end'])) # noqa: E501
if 'chargeback_dts_start' in params:
query_params.append(('chargeback_dts_start', params['chargeback_dts_start'])) # noqa: E501
if 'chargeback_dts_end' in params:
query_params.append(('chargeback_dts_end', params['chargeback_dts_end'])) # noqa: E501
if 'limit' in params:
query_params.append(('_limit', params['limit'])) # noqa: E501
if 'offset' in params:
query_params.append(('_offset', params['offset'])) # noqa: E501
if 'since' in params:
query_params.append(('_since', params['since'])) # noqa: E501
if 'sort' in params:
query_params.append(('_sort', params['sort'])) # noqa: E501
if 'expand' in params:
query_params.append(('_expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ultraCartOauth', 'ultraCartSimpleApiKey'] # noqa: E501
return self.api_client.call_api(
'/chargeback/chargebacks', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ChargebackDisputesResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def insert_chargeback(self, chargeback, **kwargs): # noqa: E501
"""Insert a chargeback # noqa: E501
Insert a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.insert_chargeback(chargeback, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ChargebackDispute chargeback: Chargeback to insert (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.insert_chargeback_with_http_info(chargeback, **kwargs) # noqa: E501
else:
(data) = self.insert_chargeback_with_http_info(chargeback, **kwargs) # noqa: E501
return data
def insert_chargeback_with_http_info(self, chargeback, **kwargs): # noqa: E501
"""Insert a chargeback # noqa: E501
Insert a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.insert_chargeback_with_http_info(chargeback, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ChargebackDispute chargeback: Chargeback to insert (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['chargeback', 'expand'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method insert_chargeback" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'chargeback' is set
if ('chargeback' not in params or
params['chargeback'] is None):
raise ValueError("Missing the required parameter `chargeback` when calling `insert_chargeback`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'expand' in params:
query_params.append(('_expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'chargeback' in params:
body_params = params['chargeback']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json; charset=UTF-8']) # noqa: E501
# Authentication setting
auth_settings = ['ultraCartOauth', 'ultraCartSimpleApiKey'] # noqa: E501
return self.api_client.call_api(
'/chargeback/chargebacks', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ChargebackDisputeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_chargeback(self, chargeback, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Update a chargeback # noqa: E501
Update a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_chargeback(chargeback, chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ChargebackDispute chargeback: Chargeback to update (required)
:param int chargeback_dispute_oid: The chargeback_dispute_oid to update. (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_chargeback_with_http_info(chargeback, chargeback_dispute_oid, **kwargs) # noqa: E501
else:
(data) = self.update_chargeback_with_http_info(chargeback, chargeback_dispute_oid, **kwargs) # noqa: E501
return data
def update_chargeback_with_http_info(self, chargeback, chargeback_dispute_oid, **kwargs): # noqa: E501
"""Update a chargeback # noqa: E501
Update a chargeback on the UltraCart account. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_chargeback_with_http_info(chargeback, chargeback_dispute_oid, async_req=True)
>>> result = thread.get()
:param async_req bool
:param ChargebackDispute chargeback: Chargeback to update (required)
:param int chargeback_dispute_oid: The chargeback_dispute_oid to update. (required)
:param str expand: The object expansion to perform on the result. See documentation for examples
:return: ChargebackDisputeResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['chargeback', 'chargeback_dispute_oid', 'expand'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_chargeback" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'chargeback' is set
if ('chargeback' not in params or
params['chargeback'] is None):
raise ValueError("Missing the required parameter `chargeback` when calling `update_chargeback`") # noqa: E501
# verify the required parameter 'chargeback_dispute_oid' is set
if ('chargeback_dispute_oid' not in params or
params['chargeback_dispute_oid'] is None):
raise ValueError("Missing the required parameter `chargeback_dispute_oid` when calling `update_chargeback`") # noqa: E501
collection_formats = {}
path_params = {}
if 'chargeback_dispute_oid' in params:
path_params['chargeback_dispute_oid'] = params['chargeback_dispute_oid'] # noqa: E501
query_params = []
if 'expand' in params:
query_params.append(('_expand', params['expand'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'chargeback' in params:
body_params = params['chargeback']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json; charset=UTF-8']) # noqa: E501
# Authentication setting
auth_settings = ['ultraCartOauth', 'ultraCartSimpleApiKey'] # noqa: E501
return self.api_client.call_api(
'/chargeback/chargebacks/{chargeback_dispute_oid}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ChargebackDisputeResponse', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 44.770764
| 261
| 0.644739
| 3,085
| 26,952
| 5.399028
| 0.076175
| 0.045149
| 0.070845
| 0.021614
| 0.923031
| 0.900636
| 0.89127
| 0.868996
| 0.866174
| 0.864193
| 0
| 0.015779
| 0.271075
| 26,952
| 601
| 262
| 44.845258
| 0.832027
| 0.370882
| 0
| 0.72956
| 1
| 0
| 0.227438
| 0.085257
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037736
| false
| 0
| 0.015723
| 0
| 0.106918
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
|
0
| 8
|
f775476598df351443f989f6efe333252fa28cf6
| 4,132
|
py
|
Python
|
ibms_project/ibms/migrations/0002_auto_20170904_1150.py
|
mohdbakhrayba/ibms
|
029e1f3bf108586289c65bb1d547f86851f9494f
|
[
"Apache-2.0"
] | 2
|
2019-09-07T20:39:29.000Z
|
2021-09-16T12:02:16.000Z
|
ibms_project/ibms/migrations/0002_auto_20170904_1150.py
|
mohdbakhrayba/ibms
|
029e1f3bf108586289c65bb1d547f86851f9494f
|
[
"Apache-2.0"
] | 11
|
2020-06-18T06:53:01.000Z
|
2022-02-11T01:55:42.000Z
|
ibms_project/ibms/migrations/0002_auto_20170904_1150.py
|
mohdbakhrayba/ibms
|
029e1f3bf108586289c65bb1d547f86851f9494f
|
[
"Apache-2.0"
] | 5
|
2016-01-18T04:36:48.000Z
|
2017-09-07T06:38:28.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-09-04 03:50
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ibms', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='corporatestrategy',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='erservicepriority',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='generalservicepriority',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='glpivdownload',
name='financialYear',
field=models.CharField(db_index=True, max_length=7),
),
migrations.AlterField(
model_name='ibmdata',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='ncservicepriority',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='ncstrategicplan',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='outcomes',
name='financialYear',
field=models.CharField(db_index=True, max_length=7),
),
migrations.AlterField(
model_name='pvsservicepriority',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
migrations.AlterField(
model_name='sfmservicepriority',
name='financialYear',
field=models.CharField(choices=[('2010/11', '2010/11'), ('2011/12', '2011/12'), ('2012/13', '2012/13'), ('2013/14', '2013/14'), ('2014/15', '2014/15'), ('2015/16', '2015/16'), ('2016/17', '2016/17'), ('2017/18', '2017/18'), ('2018/19', '2018/19'), ('2019/20', '2019/20')], db_index=True, max_length=100),
),
]
| 62.606061
| 316
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| 523
| 4,132
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| 0.135755
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| 0.838406
| 0.838406
| 0.838406
| 0.838406
| 0.838406
| 0.838406
| 0
| 0.302493
| 0.194337
| 4,132
| 65
| 317
| 63.569231
| 0.368579
| 0.016457
| 0
| 0.689655
| 1
| 0
| 0.349175
| 0.005417
| 0
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| 0
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| 0
| false
| 0
| 0.034483
| 0
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| 0
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| 1
| 1
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| 0
| 0
| 0
|
0
| 9
|
f79cbf42fda1f6dbd2a432d6ede2618fb657307d
| 27,065
|
py
|
Python
|
test/test_team_builder_config_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
test/test_team_builder_config_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
test/test_team_builder_config_api.py
|
tweak-com-public/tweak-api-client-python
|
019f86da11fdb12683d516f8f37db5d717380bcc
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
tweak-api
Tweak API to integrate with all the Tweak services. You can find out more about Tweak at <a href='https://www.tweak.com'>https://www.tweak.com</a>, #tweak.
OpenAPI spec version: 1.0.8-beta.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from __future__ import absolute_import
import os
import sys
import unittest
import TweakApi
from TweakApi.rest import ApiException
from TweakApi.apis.team_builder_config_api import TeamBuilderConfigApi
class TestTeamBuilderConfigApi(unittest.TestCase):
""" TeamBuilderConfigApi unit test stubs """
def setUp(self):
self.api = TweakApi.apis.team_builder_config_api.TeamBuilderConfigApi()
def tearDown(self):
pass
def test_team_builder_configs_change_stream_get(self):
"""
Test case for team_builder_configs_change_stream_get
Create a change stream.
"""
pass
def test_team_builder_configs_change_stream_post(self):
"""
Test case for team_builder_configs_change_stream_post
Create a change stream.
"""
pass
def test_team_builder_configs_count_get(self):
"""
Test case for team_builder_configs_count_get
Count instances of the model matched by where from the data source.
"""
pass
def test_team_builder_configs_find_one_get(self):
"""
Test case for team_builder_configs_find_one_get
Find first instance of the model matched by filter from the data source.
"""
pass
def test_team_builder_configs_get(self):
"""
Test case for team_builder_configs_get
Find all instances of the model matched by filter from the data source.
"""
pass
def test_team_builder_configs_global_get(self):
"""
Test case for team_builder_configs_global_get
Reset Team keys
"""
pass
def test_team_builder_configs_id_delete(self):
"""
Test case for team_builder_configs_id_delete
Delete a model instance by {{id}} from the data source.
"""
pass
def test_team_builder_configs_id_exists_get(self):
"""
Test case for team_builder_configs_id_exists_get
Check whether a model instance exists in the data source.
"""
pass
def test_team_builder_configs_id_get(self):
"""
Test case for team_builder_configs_id_get
Find a model instance by {{id}} from the data source.
"""
pass
def test_team_builder_configs_id_head(self):
"""
Test case for team_builder_configs_id_head
Check whether a model instance exists in the data source.
"""
pass
def test_team_builder_configs_id_patch(self):
"""
Test case for team_builder_configs_id_patch
Patch attributes for a model instance and persist it into the data source.
"""
pass
def test_team_builder_configs_id_portals_count_get(self):
"""
Test case for team_builder_configs_id_portals_count_get
Counts portals of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_portals_fk_delete(self):
"""
Test case for team_builder_configs_id_portals_fk_delete
Delete a related item by id for portals.
"""
pass
def test_team_builder_configs_id_portals_fk_get(self):
"""
Test case for team_builder_configs_id_portals_fk_get
Find a related item by id for portals.
"""
pass
def test_team_builder_configs_id_portals_fk_put(self):
"""
Test case for team_builder_configs_id_portals_fk_put
Update a related item by id for portals.
"""
pass
def test_team_builder_configs_id_portals_get(self):
"""
Test case for team_builder_configs_id_portals_get
Queries portals of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_portals_post(self):
"""
Test case for team_builder_configs_id_portals_post
Creates a new instance in portals of this model.
"""
pass
def test_team_builder_configs_id_product_groups_count_get(self):
"""
Test case for team_builder_configs_id_product_groups_count_get
Counts productGroups of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_groups_fk_delete(self):
"""
Test case for team_builder_configs_id_product_groups_fk_delete
Delete a related item by id for productGroups.
"""
pass
def test_team_builder_configs_id_product_groups_fk_get(self):
"""
Test case for team_builder_configs_id_product_groups_fk_get
Find a related item by id for productGroups.
"""
pass
def test_team_builder_configs_id_product_groups_fk_put(self):
"""
Test case for team_builder_configs_id_product_groups_fk_put
Update a related item by id for productGroups.
"""
pass
def test_team_builder_configs_id_product_groups_get(self):
"""
Test case for team_builder_configs_id_product_groups_get
Queries productGroups of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_count_get(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_count_get
Counts types of ProductGroup.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_delete(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_delete
Deletes all types of this model.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_fk_delete(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_fk_delete
Delete a related item by id for types.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_fk_get(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_fk_get
Find a related item by id for types.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_fk_put(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_fk_put
Update a related item by id for types.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_get(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_get
Queries types of ProductGroup.
"""
pass
def test_team_builder_configs_id_product_groups_nk_types_post(self):
"""
Test case for team_builder_configs_id_product_groups_nk_types_post
Creates a new instance in types of this model.
"""
pass
def test_team_builder_configs_id_product_groups_post(self):
"""
Test case for team_builder_configs_id_product_groups_post
Creates a new instance in productGroups of this model.
"""
pass
def test_team_builder_configs_id_product_groups_rel_fk_delete(self):
"""
Test case for team_builder_configs_id_product_groups_rel_fk_delete
Remove the productGroups relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_groups_rel_fk_head(self):
"""
Test case for team_builder_configs_id_product_groups_rel_fk_head
Check the existence of productGroups relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_groups_rel_fk_put(self):
"""
Test case for team_builder_configs_id_product_groups_rel_fk_put
Add a related item by id for productGroups.
"""
pass
def test_team_builder_configs_id_product_size_materials_count_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_count_get
Counts productSizeMaterials of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_size_materials_fk_delete(self):
"""
Test case for team_builder_configs_id_product_size_materials_fk_delete
Delete a related item by id for productSizeMaterials.
"""
pass
def test_team_builder_configs_id_product_size_materials_fk_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_fk_get
Find a related item by id for productSizeMaterials.
"""
pass
def test_team_builder_configs_id_product_size_materials_fk_put(self):
"""
Test case for team_builder_configs_id_product_size_materials_fk_put
Update a related item by id for productSizeMaterials.
"""
pass
def test_team_builder_configs_id_product_size_materials_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_get
Queries productSizeMaterials of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_size_materials_nk_material_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_nk_material_get
Fetches belongsTo relation material.
"""
pass
def test_team_builder_configs_id_product_size_materials_nk_pdf_color_profile_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_nk_pdf_color_profile_get
Fetches belongsTo relation pdfColorProfile.
"""
pass
def test_team_builder_configs_id_product_size_materials_nk_size_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_nk_size_get
Fetches belongsTo relation size.
"""
pass
def test_team_builder_configs_id_product_size_materials_nk_team_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_nk_team_get
Fetches belongsTo relation team.
"""
pass
def test_team_builder_configs_id_product_size_materials_post(self):
"""
Test case for team_builder_configs_id_product_size_materials_post
Creates a new instance in productSizeMaterials of this model.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_count_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_count_get
Counts productSizeMaterialsRel of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_delete(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_delete
Remove the productSizeMaterials relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_delete_0(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_delete_0
Delete a related item by id for productSizeMaterialsRel.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_get
Find a related item by id for productSizeMaterialsRel.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_head(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_head
Check the existence of productSizeMaterials relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_put(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_put
Add a related item by id for productSizeMaterials.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_fk_put_0(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_fk_put_0
Update a related item by id for productSizeMaterialsRel.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_get
Queries productSizeMaterialsRel of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_nk_builder_config_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_nk_builder_config_get
Fetches belongsTo relation builderConfig.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_nk_pdf_color_profile_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_nk_pdf_color_profile_get
Fetches belongsTo relation pdfColorProfile.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_nk_product_size_material_get(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_nk_product_size_material_get
Fetches belongsTo relation productSizeMaterial.
"""
pass
def test_team_builder_configs_id_product_size_materials_rel_post(self):
"""
Test case for team_builder_configs_id_product_size_materials_rel_post
Creates a new instance in productSizeMaterialsRel of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_count_get(self):
"""
Test case for team_builder_configs_id_product_sizes_count_get
Counts productSizes of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_sizes_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_fk_delete
Delete a related item by id for productSizes.
"""
pass
def test_team_builder_configs_id_product_sizes_fk_get(self):
"""
Test case for team_builder_configs_id_product_sizes_fk_get
Find a related item by id for productSizes.
"""
pass
def test_team_builder_configs_id_product_sizes_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_fk_put
Update a related item by id for productSizes.
"""
pass
def test_team_builder_configs_id_product_sizes_get(self):
"""
Test case for team_builder_configs_id_product_sizes_get
Queries productSizes of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_count_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_count_get
Counts materials of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_fk_delete
Delete a related item by id for materials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_fk_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_fk_get
Find a related item by id for materials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_fk_put
Update a related item by id for materials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_get
Queries materials of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_post(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_post
Creates a new instance in materials of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_rel_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_rel_fk_delete
Remove the materials relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_rel_fk_head(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_rel_fk_head
Check the existence of materials relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_materials_rel_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_materials_rel_fk_put
Add a related item by id for materials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_pdf_color_profile_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_pdf_color_profile_get
Fetches belongsTo relation pdfColorProfile.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_count_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_count_get
Counts products of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_delete
Deletes all products of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_fk_delete
Delete a related item by id for products.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_fk_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_fk_get
Find a related item by id for products.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_fk_put
Update a related item by id for products.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_get
Queries products of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_products_post(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_products_post
Creates a new instance in products of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_count_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_count_get
Counts sizeMaterials of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_fk_delete
Delete a related item by id for sizeMaterials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_fk_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_fk_get
Find a related item by id for sizeMaterials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_fk_put
Update a related item by id for sizeMaterials.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_get
Queries sizeMaterials of ProductSize.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_size_materials_post(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_size_materials_post
Creates a new instance in sizeMaterials of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_nk_type_get(self):
"""
Test case for team_builder_configs_id_product_sizes_nk_type_get
Fetches belongsTo relation type.
"""
pass
def test_team_builder_configs_id_product_sizes_post(self):
"""
Test case for team_builder_configs_id_product_sizes_post
Creates a new instance in productSizes of this model.
"""
pass
def test_team_builder_configs_id_product_sizes_rel_fk_delete(self):
"""
Test case for team_builder_configs_id_product_sizes_rel_fk_delete
Remove the productSizes relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_sizes_rel_fk_head(self):
"""
Test case for team_builder_configs_id_product_sizes_rel_fk_head
Check the existence of productSizes relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_sizes_rel_fk_put(self):
"""
Test case for team_builder_configs_id_product_sizes_rel_fk_put
Add a related item by id for productSizes.
"""
pass
def test_team_builder_configs_id_product_types_count_get(self):
"""
Test case for team_builder_configs_id_product_types_count_get
Counts productTypes of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_types_fk_delete(self):
"""
Test case for team_builder_configs_id_product_types_fk_delete
Delete a related item by id for productTypes.
"""
pass
def test_team_builder_configs_id_product_types_fk_get(self):
"""
Test case for team_builder_configs_id_product_types_fk_get
Find a related item by id for productTypes.
"""
pass
def test_team_builder_configs_id_product_types_fk_put(self):
"""
Test case for team_builder_configs_id_product_types_fk_put
Update a related item by id for productTypes.
"""
pass
def test_team_builder_configs_id_product_types_get(self):
"""
Test case for team_builder_configs_id_product_types_get
Queries productTypes of TeamBuilderConfig.
"""
pass
def test_team_builder_configs_id_product_types_nk_group_get(self):
"""
Test case for team_builder_configs_id_product_types_nk_group_get
Fetches belongsTo relation group.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_count_get(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_count_get
Counts sizes of ProductType.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_fk_delete(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_fk_delete
Delete a related item by id for sizes.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_fk_get(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_fk_get
Find a related item by id for sizes.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_fk_put(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_fk_put
Update a related item by id for sizes.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_get(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_get
Queries sizes of ProductType.
"""
pass
def test_team_builder_configs_id_product_types_nk_sizes_post(self):
"""
Test case for team_builder_configs_id_product_types_nk_sizes_post
Creates a new instance in sizes of this model.
"""
pass
def test_team_builder_configs_id_product_types_post(self):
"""
Test case for team_builder_configs_id_product_types_post
Creates a new instance in productTypes of this model.
"""
pass
def test_team_builder_configs_id_product_types_rel_fk_delete(self):
"""
Test case for team_builder_configs_id_product_types_rel_fk_delete
Remove the productTypes relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_types_rel_fk_head(self):
"""
Test case for team_builder_configs_id_product_types_rel_fk_head
Check the existence of productTypes relation to an item by id.
"""
pass
def test_team_builder_configs_id_product_types_rel_fk_put(self):
"""
Test case for team_builder_configs_id_product_types_rel_fk_put
Add a related item by id for productTypes.
"""
pass
def test_team_builder_configs_id_put(self):
"""
Test case for team_builder_configs_id_put
Replace attributes for a model instance and persist it into the data source.
"""
pass
def test_team_builder_configs_id_replace_post(self):
"""
Test case for team_builder_configs_id_replace_post
Replace attributes for a model instance and persist it into the data source.
"""
pass
def test_team_builder_configs_id_team_get(self):
"""
Test case for team_builder_configs_id_team_get
Fetches belongsTo relation team.
"""
pass
def test_team_builder_configs_post(self):
"""
Test case for team_builder_configs_post
Create a new instance of the model and persist it into the data source.
"""
pass
if __name__ == '__main__':
unittest.main()
| 29.676535
| 165
| 0.697506
| 3,611
| 27,065
| 4.734146
| 0.052894
| 0.140275
| 0.227435
| 0.236326
| 0.91635
| 0.908394
| 0.892776
| 0.879087
| 0.856215
| 0.819187
| 0
| 0.000648
| 0.258452
| 27,065
| 911
| 166
| 29.709111
| 0.851121
| 0.481397
| 0
| 0.473913
| 0
| 0
| 0.000753
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.478261
| false
| 0.473913
| 0.030435
| 0
| 0.513043
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 11
|
e3955982d94f5ea725251f20460b046fab53417c
| 142
|
py
|
Python
|
gb_genome_domestication/tests/__init__.py
|
bioinfcomav/goldebraid
|
7a50c9c4e65308fb51abf4f236457d12e9d028d6
|
[
"Apache-2.0"
] | null | null | null |
gb_genome_domestication/tests/__init__.py
|
bioinfcomav/goldebraid
|
7a50c9c4e65308fb51abf4f236457d12e9d028d6
|
[
"Apache-2.0"
] | null | null | null |
gb_genome_domestication/tests/__init__.py
|
bioinfcomav/goldebraid
|
7a50c9c4e65308fb51abf4f236457d12e9d028d6
|
[
"Apache-2.0"
] | null | null | null |
from test_models import *
#from test_views import *
from test_fixtures import *
#from test_domestication import *
#from test_feature import *
| 23.666667
| 33
| 0.802817
| 20
| 142
| 5.45
| 0.4
| 0.366972
| 0.513761
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140845
| 142
| 5
| 34
| 28.4
| 0.893443
| 0.577465
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
e3cebc9fbe5bca12b0b3de8f9bbfe7b6d008c761
| 940
|
py
|
Python
|
src/instamsg/mqtt/errors.py
|
InstaMsg/instamsg-python
|
016302427cc28a31a73547a1bcdaa55cd5a3c10f
|
[
"MIT"
] | null | null | null |
src/instamsg/mqtt/errors.py
|
InstaMsg/instamsg-python
|
016302427cc28a31a73547a1bcdaa55cd5a3c10f
|
[
"MIT"
] | null | null | null |
src/instamsg/mqtt/errors.py
|
InstaMsg/instamsg-python
|
016302427cc28a31a73547a1bcdaa55cd5a3c10f
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
class MqttClientError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
class MqttConnectError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
class MqttFrameError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
class MqttDecoderError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
class MqttEncoderError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
class MqttTimeoutError(Exception):
def __init__(self, value=''):
self.value = value
def __str__(self):
return repr(self.value)
| 25.405405
| 34
| 0.626596
| 105
| 940
| 5.152381
| 0.171429
| 0.299445
| 0.177449
| 0.221811
| 0.80037
| 0.80037
| 0.80037
| 0.80037
| 0.80037
| 0.80037
| 0
| 0.001416
| 0.248936
| 940
| 37
| 35
| 25.405405
| 0.764873
| 0.02234
| 0
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0
| 0.2
| 0.8
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 12
|
e3fa295684464476ad24e20e4314204f4f5759f1
| 158
|
py
|
Python
|
pl_bolts/models/vision/__init__.py
|
pawelkobojek/pytorch-lightning-bolts
|
2f3f58045a44ffb32103a3644c2ee2be920a508b
|
[
"Apache-2.0"
] | null | null | null |
pl_bolts/models/vision/__init__.py
|
pawelkobojek/pytorch-lightning-bolts
|
2f3f58045a44ffb32103a3644c2ee2be920a508b
|
[
"Apache-2.0"
] | null | null | null |
pl_bolts/models/vision/__init__.py
|
pawelkobojek/pytorch-lightning-bolts
|
2f3f58045a44ffb32103a3644c2ee2be920a508b
|
[
"Apache-2.0"
] | null | null | null |
from pl_bolts.models.vision.pixel_cnn import PixelCNN
from pl_bolts.models.vision.unet import UNet
from pl_bolts.models.vision.segmentation import SemSegment
| 39.5
| 58
| 0.867089
| 25
| 158
| 5.32
| 0.48
| 0.135338
| 0.24812
| 0.383459
| 0.518797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075949
| 158
| 3
| 59
| 52.666667
| 0.910959
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
581e1bca526a25bcdf587464f057e0e436fc29c0
| 123
|
py
|
Python
|
pybamm/models/submodels/interface/__init__.py
|
jedgedrudd/PyBaMM
|
79c9d34978382d50e09adaf8bf74c8fa4723f759
|
[
"BSD-3-Clause"
] | 1
|
2019-10-29T19:06:04.000Z
|
2019-10-29T19:06:04.000Z
|
pybamm/models/submodels/interface/__init__.py
|
jedgedrudd/PyBaMM
|
79c9d34978382d50e09adaf8bf74c8fa4723f759
|
[
"BSD-3-Clause"
] | null | null | null |
pybamm/models/submodels/interface/__init__.py
|
jedgedrudd/PyBaMM
|
79c9d34978382d50e09adaf8bf74c8fa4723f759
|
[
"BSD-3-Clause"
] | null | null | null |
from .base_interface import BaseInterface
from . import lead_acid
from . import lead_acid_oxygen
from . import lithium_ion
| 24.6
| 41
| 0.837398
| 18
| 123
| 5.444444
| 0.555556
| 0.306122
| 0.285714
| 0.367347
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130081
| 123
| 4
| 42
| 30.75
| 0.915888
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
5862a9c786efdef6ac9465e1e839ca1de39d6bf1
| 66
|
py
|
Python
|
example/dcgan/src/util/__init__.py
|
dsanno/chainer-training-template
|
b9edb257c37a7ef32b57c509a0e94d163391b307
|
[
"MIT"
] | 1
|
2017-11-13T01:39:45.000Z
|
2017-11-13T01:39:45.000Z
|
example/dcgan/src/util/__init__.py
|
dsanno/chainer-training-template
|
b9edb257c37a7ef32b57c509a0e94d163391b307
|
[
"MIT"
] | null | null | null |
example/dcgan/src/util/__init__.py
|
dsanno/chainer-training-template
|
b9edb257c37a7ef32b57c509a0e94d163391b307
|
[
"MIT"
] | null | null | null |
from util import create_network
from util import create_optimizer
| 22
| 33
| 0.878788
| 10
| 66
| 5.6
| 0.6
| 0.285714
| 0.5
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 66
| 2
| 34
| 33
| 0.965517
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
587f2ab4526b2340194a6be13c30f93fcfabed5f
| 1,570
|
py
|
Python
|
pySNMP-Set.py
|
nunomiguellopes/PythonTCPConnection
|
c26460b5547911adb96845a1286960d6dfd91dde
|
[
"Apache-2.0"
] | null | null | null |
pySNMP-Set.py
|
nunomiguellopes/PythonTCPConnection
|
c26460b5547911adb96845a1286960d6dfd91dde
|
[
"Apache-2.0"
] | null | null | null |
pySNMP-Set.py
|
nunomiguellopes/PythonTCPConnection
|
c26460b5547911adb96845a1286960d6dfd91dde
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python3
from pysnmp.hlapi import *
from pysnmp.entity.rfc3413.oneliner import cmdgen
#cmdGen = cmdgen.CommandGenerator()
errorIndication, errorStatus, errorIndex, varBinds = next(
getCmd(SnmpEngine(),
CommunityData('pri'),
UdpTransportTarget(('172.16.209.233', 161)),
ContextData(),
ObjectType(ObjectIdentity('SNMPv2-MIB', 'sysLocation', 0))))
# Check for errors and print out results
if errorIndication:
print(errorIndication)
else:
if errorStatus:
print('%s at %s' % (
errorStatus.prettyPrint(),
errorIndex and varBinds[int(errorIndex)-1] or '?'
)
)
else:
for name, val in varBinds:
print('%s = %s' % (name.prettyPrint(), val.prettyPrint()))
g = setCmd(SnmpEngine(),
CommunityData('pri'),
UdpTransportTarget(('172.16.209.233', 161)),
ContextData(),
ObjectType(ObjectIdentity('SNMPv2-MIB', 'sysLocation', 0), 'Test Linux i386'))
next(g)
errorIndication, errorStatus, errorIndex, varBinds = next(
getCmd(SnmpEngine(),
CommunityData('pri'),
UdpTransportTarget(('172.16.209.233', 161)),
ContextData(),
ObjectType(ObjectIdentity('SNMPv2-MIB', 'sysLocation', 0))))
if errorIndication:
print(errorIndication)
else:
if errorStatus:
print('%s at %s' % (
errorStatus.prettyPrint(),
errorIndex and varBinds[int(errorIndex)-1] or '?'
)
)
else:
for name, val in varBinds:
print('%s = %s' % (name.prettyPrint(), val.prettyPrint()))
| 28.035714
| 80
| 0.621656
| 157
| 1,570
| 6.216561
| 0.363057
| 0.02459
| 0.079918
| 0.135246
| 0.834016
| 0.834016
| 0.834016
| 0.834016
| 0.834016
| 0.834016
| 0
| 0.048053
| 0.23121
| 1,570
| 55
| 81
| 28.545455
| 0.760563
| 0.057962
| 0
| 0.795455
| 0
| 0
| 0.109079
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.045455
| 0
| 0.045455
| 0.136364
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5465efa709ad8b2f6f20a52e3efba66f94d755fa
| 243
|
py
|
Python
|
temboo/core/Library/Parse/GeoPoints/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 7
|
2016-03-07T02:07:21.000Z
|
2022-01-21T02:22:41.000Z
|
temboo/core/Library/Parse/GeoPoints/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | null | null | null |
temboo/core/Library/Parse/GeoPoints/__init__.py
|
jordanemedlock/psychtruths
|
52e09033ade9608bd5143129f8a1bfac22d634dd
|
[
"Apache-2.0"
] | 8
|
2016-06-14T06:01:11.000Z
|
2020-04-22T09:21:44.000Z
|
from temboo.Library.Parse.GeoPoints.GeoPoint import GeoPoint, GeoPointInputSet, GeoPointResultSet, GeoPointChoreographyExecution
from temboo.Library.Parse.GeoPoints.Query import Query, QueryInputSet, QueryResultSet, QueryChoreographyExecution
| 81
| 128
| 0.884774
| 22
| 243
| 9.772727
| 0.636364
| 0.093023
| 0.15814
| 0.204651
| 0.288372
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057613
| 243
| 2
| 129
| 121.5
| 0.938865
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
49b502f6bf9afc0b6f3a4c3df18f489fc992d0f8
| 4,153
|
py
|
Python
|
Video_to_Image.py
|
Neutrino3316/First-Impression
|
00b7cebe8391c7c30b36de9c4ce5d9732daaf34d
|
[
"MIT"
] | 24
|
2018-12-07T13:53:37.000Z
|
2022-01-11T11:54:34.000Z
|
Video_to_Image.py
|
Neutrino3316/First-Impression
|
00b7cebe8391c7c30b36de9c4ce5d9732daaf34d
|
[
"MIT"
] | 6
|
2018-02-27T09:28:57.000Z
|
2020-09-08T15:37:56.000Z
|
Video_to_Image.py
|
Neutrino3316/First-Impression
|
00b7cebe8391c7c30b36de9c4ce5d9732daaf34d
|
[
"MIT"
] | 21
|
2018-05-25T10:56:44.000Z
|
2022-02-24T08:06:24.000Z
|
'''
Extract all the 6 training zipped files and 2 validation zipped files into data folder and then run this script
'''
import cv2
import numpy as np
import os
import zipfile
## Runnin a loop throught all the zipped training file to extract all video and then extract 100 frames from each.
for i in range(1,76):
if i<10:
zipfilename = 'training80_0'+str(i)+'.zip'
else:
zipfilename = 'training80_'+str(i)+'.zip'
## Accessing the zipfile i
archive = zipfile.ZipFile('data/'+zipfilename, 'r')
zipfilename = zipfilename.split('.zip')[0]
##Extracting all videos in it and saving it all to the new folder with same name as zipped one
archive.extractall('unzippedData/'+zipfilename)
## Running a loop over all the videos in the zipped file and extracting 100 frames from each
for file_name in archive.namelist():
cap = cv2.VideoCapture('unzippedData/'+zipfilename+'/'+file_name)
file_name=(file_name.split('.mp4'))[0]
## Creating folder to save all the 100 frames from the video
try:
if not os.path.exists('ImageData/trainingData/'+file_name):
os.makedirs('ImageData/trainingData/'+file_name)
except OSError:
print ('Error: Creating directory of data')
## Setting the frame limit to 100
cap.set(cv2.CAP_PROP_FRAME_COUNT, 101)
length=101
count=0
## Running a loop to each frame and saving it in the created folder
while(cap.isOpened()):
count+=1
if length==count:
break
ret, frame = cap.read()
if frame is None:
continue
## Resizing it to 256*256 to save the disk space and fit into the model
frame = cv2.resize(frame,(256, 256), interpolation = cv2.INTER_CUBIC)
# Saves image of the current frame in jpg file
name = 'ImageData/trainingData/'+str(file_name)+'/frame' + str(count) + '.jpg'
cv2.imwrite(name, frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
## Print the file which is done
print (zipfilename, ':', file_name)
#
for i in range(1,26):
if i<10:
zipfilename = 'validation80_0'+str(i)+'.zip'
else:
zipfilename = 'validation80_'+str(i)+'.zip'
## Accessing the zipfile i
archive = zipfile.ZipFile('data/'+zipfilename, 'r')
zipfilename = zipfilename.split('.zip')[0]
##Extracting all videos in it and saving it all to the new folder with same name as zipped one
archive.extractall('unzippedData/'+zipfilename)
## Running a loop over all the videos in the zipped file and extracting 100 frames from each
for file_name in archive.namelist():
cap = cv2.VideoCapture('unzippedData/'+zipfilename+'/'+file_name)
file_name=(file_name.split('.mp4'))[0]
## Creating folder to save all the 100 frames from the video
try:
if not os.path.exists('ImageData/validationData/'+file_name):
os.makedirs('ImageData/validationData/'+file_name)
except OSError:
print ('Error: Creating directory of data')
## Setting the frame limit to 100
cap.set(cv2.CAP_PROP_FRAME_COUNT, 101)
length=101
count=0
## Running a loop to each frame and saving it in the created folder
while(cap.isOpened()):
count+=1
if length==count:
break
ret, frame = cap.read()
if frame is None:
continue
## Resizing it to 256*256 to save the disk space and fit into the model
frame = cv2.resize(frame,(256, 256), interpolation = cv2.INTER_CUBIC)
# Saves image of the current frame in jpg file
name = 'ImageData/validationData/'+str(file_name)+'/frame' + str(count) + '.jpg'
cv2.imwrite(name, frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
## Print the file which is done
print (zipfilename, ':', file_name)
| 38.453704
| 114
| 0.603419
| 542
| 4,153
| 4.571956
| 0.232472
| 0.058111
| 0.026231
| 0.025827
| 0.85109
| 0.812752
| 0.794189
| 0.794189
| 0.794189
| 0.794189
| 0
| 0.036326
| 0.297375
| 4,153
| 107
| 115
| 38.813084
| 0.812886
| 0.296171
| 0
| 0.764706
| 0
| 0
| 0.132685
| 0.050017
| 0
| 0
| 0.002779
| 0
| 0
| 1
| 0
| false
| 0
| 0.058824
| 0
| 0.058824
| 0.058824
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b7361411c54e139db4716426fa7c71a8d8b6eac5
| 93
|
py
|
Python
|
eod/plugins/__init__.py
|
feixiang7701/EOD
|
0138d0cefb706f64ccaea93d87ed0fe88d2fcebe
|
[
"Apache-2.0"
] | 1
|
2021-11-24T09:32:27.000Z
|
2021-11-24T09:32:27.000Z
|
eod/plugins/__init__.py
|
jinfagang/EOD
|
a45b74430070d82d9248a10fb5e1116bb7ababe1
|
[
"Apache-2.0"
] | null | null | null |
eod/plugins/__init__.py
|
jinfagang/EOD
|
a45b74430070d82d9248a10fb5e1116bb7ababe1
|
[
"Apache-2.0"
] | null | null | null |
from .yolox import * # noqa
from .yolov5 import * # noqa
from .classification import * # noqa
| 31
| 36
| 0.72043
| 12
| 93
| 5.583333
| 0.5
| 0.447761
| 0.41791
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013158
| 0.182796
| 93
| 3
| 36
| 31
| 0.868421
| 0.150538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
3fb27cb0940e0ef7d29c740fff15f87d96f70c11
| 12,054
|
py
|
Python
|
base-LASED/LASED/time_evolution.py
|
mvpmanish/LASED
|
7793037b3e77ee9205f631d7ff6c511895108400
|
[
"MIT"
] | 7
|
2021-06-07T14:58:01.000Z
|
2022-03-24T18:08:13.000Z
|
base-LASED/LASED/.ipynb_checkpoints/time_evolution-checkpoint.py
|
mvpmanish/LASED
|
7793037b3e77ee9205f631d7ff6c511895108400
|
[
"MIT"
] | 13
|
2021-06-07T14:15:54.000Z
|
2022-03-29T11:06:10.000Z
|
base-LASED/LASED/time_evolution.py
|
mvpmanish/LASED
|
7793037b3e77ee9205f631d7ff6c511895108400
|
[
"MIT"
] | 2
|
2021-12-09T06:31:23.000Z
|
2022-03-18T17:29:48.000Z
|
'''
This file contains the function to calculate the time evolution of the density matrix
for an atomic system interacting with a laser.
'''
from LASED.constants import *
from LASED.detuning import *
from LASED.half_rabi_freq import *
from LASED.matrix_methods import *
from LASED.time_evolution_matrix import *
import numpy as np
import scipy.linalg as la
def timeEvolution(n, E, G, Q, Q_decay, tau, laser_intensity, laser_wavelength, time, rho0, rho_output, tau_f = None, detuning = None, rabi_scaling = None, rabi_factors = None, print_eq = None, pretty_print_eq = None, atomic_velocity = None):
"""Calculates the time evolution of a laser-atom system.
Uses a flattened density matrix rho0 and calculates the time evolution over the time specified.
The density matrix at each time step is stored in rho_output.
"""
rabi = halfRabiFreq(laser_intensity, tau, laser_wavelength)
A = timeEvolutionMatrix(n, E, G, Q, Q_decay, tau, laser_wavelength, laser_intensity,
tau_f = tau_f, detuning = detuning, rabi_scaling = rabi_scaling,
rabi_factors = rabi_factors, symbolic_print = pretty_print_eq,
numeric_print = print_eq, atomic_velocity = atomic_velocity)
# Compute the diagonalised matrix D and matrix of eigenvectors V
D = diagonalise(A)
V = matrixOfEigenvec(A)
f = np.dot(la.inv(V), rho0) # Compute V^-1*rho(0)
# Calculate the exponential
for position, t in enumerate(time, start = 0):
# Use expm() which computes the matrix exponential using the Pade approximation
expS = la.expm(D*t) # Compute exp(D*t), this takes the longest so needs speeding up
VexpDt = np.dot(V, expS)
rho_t = np.dot(VexpDt, f)
# Append density matrix elements
# rho(t)_ee
for e in E:
for ep in E:
rho_output[index(e, ep, n)][position] = rho_t[index(e, ep, n), 0]
# rho(t)_gg
for g in G:
for gp in G:
rho_output[index(g, gp, n)][position] = rho_t[index(g, gp, n), 0]
# rho(t)_eg
for e in E:
for g in G:
rho_output[index(e, g, n)][position] = rho_t[index(e, g, n), 0]
#rho(t)_ge
for g in G:
for e in E:
rho_output[index(g, e, n)][position] = rho_t[index(g, e, n), 0]
def timeEvolutionDopplerAveraging(n, E, G, Q, Q_decay, tau, laser_intensity, laser_wavelength, doppler_width, doppler_detunings, time, rho0, rho_output, tau_f = None, detuning = None, rabi_scaling = None, rabi_factors = None, print_eq = None, pretty_print_eq = None, atomic_velocity = None):
"""Calculates the time evolution of a laser-atom system with a Gaussian doppler profile for the atoms.
Uses a flattened density matrix rho0 and calculates the time evolution over the time specified.
The density matrix at each time step is stored in rho_output.
"""
if(print_eq or pretty_print_eq != None):
print("Cannot print equations when beam profile or doppler averaging!")
print_eq = None
pretty_print_eq = None
# Calculate doppler_spacing
d_doppler = abs(doppler_detunings[1] - doppler_detunings[0])
doppler_factor = d_doppler/(np.sqrt(2*PI*doppler_width*doppler_width))
for doppler_delta in doppler_detunings:
# Calculate the half-rabi frequency
rabi = halfRabiFreq(laser_intensity, tau, laser_wavelength)
A = timeEvolutionMatrix(n, E, G, Q, Q_decay, tau, laser_wavelength, laser_intensity,
tau_f = tau_f, detuning = detuning, rabi_scaling = rabi_scaling,
rabi_factors = rabi_factors, symbolic_print = pretty_print_eq,
numeric_print = print_eq, atomic_velocity = atomic_velocity)
# Compute the diagonalised matrix D and matrix of eigenvectors V
D = diagonalise(A)
V = matrixOfEigenvec(A)
f = np.dot(la.inv(V), rho0) # Compute V^-1*rho(0)
# Calculate the exponential
for position, t in enumerate(time, start = 0):
# Use expm() which computes the matrix exponential using the Pade approximation
VexpDt = np.dot(V, la.expm(D*t)) # Can I make this is faster?
rho_t = np.dot(VexpDt, f)
# Append density matrix for each ring and each detuning fraction
# rho(t)_ee
for e in E:
for ep in E:
rho_output[index(e, ep, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(rho_t[index(e, ep, n), 0])
# rho(t)_gg
for g in G:
for gp in G:
rho_output[index(g, gp, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(rho_t[index(g, gp, n), 0])
# rho(t)_eg
for e in E:
for g in G:
rho_output[index(e, g, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(rho_t[index(e, g, n), 0])
#rho(t)_ge
for g in G:
for e in E:
rho_output[index(g, e, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(rho_t[index(e, g, n), 0])
def timeEvolutionGaussianAveraging(n, E, G, Q, Q_decay, tau, laser_power, r_sigma, n_intensity, laser_wavelength, time, rho0, rho_output, tau_f = None, detuning = None, rabi_scaling = None, rabi_factors = None, print_eq = None, pretty_print_eq = None, atomic_velocity = None):
"""Calculates the time evolution of a laser-atom system with a Gaussian laser beam profile.
Uses a flattened density matrix rho0 and calculates the time evolution over the time specified.
The density matrix at each time step is stored in rho_output.
"""
if(print_eq or pretty_print_eq != None):
print("Cannot print equations when beam profile or doppler averaging!")
print_eq = None
pretty_print_eq = None
# Create rings of laser beam to integrate populations over
R = np.linspace(r_sigma, 3*r_sigma, n_intensity)
for k, r in enumerate(R, start = 0):
# Calculate the half-rabi frequency
laser_intensity = gaussianIntensity(laser_power, r_sigma, r)
rabi = halfRabiFreq(laser_intensity, tau, laser_wavelength)
A = timeEvolutionMatrix(n, E, G, Q, Q_decay, tau, laser_wavelength, laser_intensity,
tau_f = tau_f, rabi_scaling = rabi_scaling, rabi_factors = rabi_factors,
detuning = detuning, symbolic_print = pretty_print_eq,
numeric_print = print_eq, atomic_velocity = atomic_velocity)
# Compute the diagonalised matrix D and matrix of eigenvectors V
D = diagonalise(A)
V = matrixOfEigenvec(A)
f = np.dot(la.inv(V), rho0) # Compute V^-1*rho(0)
# Calculate the exponential
for position, t in enumerate(time, start = 0):
# Use expm() which computes the matrix exponential using the Pade approximation
VexpDt = np.dot(V, la.expm(D*t)) # Can I make this faster?
rho_t = np.dot(VexpDt, f)
# Append density matrix for each ring
# rho(t)_ee
for e in E:
for ep in E:
rho_output[index(e, ep, n)][position] += (2*k+1)*(rho_t[index(e, ep, n), 0])/(n_intensity*n_intensity)
# rho(t)_gg
for g in G:
for gp in G:
rho_output[index(g, gp, n)][position] += (2*k+1)*(rho_t[index(g, gp, n), 0])/(n_intensity*n_intensity)
# rho(t)_eg
for e in E:
for g in G:
rho_output[index(e, g, n)][position] += (2*k+1)*(rho_t[index(e, g, n), 0])/(n_intensity*n_intensity)
#rho(t)_ge
for g in G:
for e in E:
rho_output[index(g, e, n)][position] += (2*k+1)*(rho_t[index(e, g, n), 0])/(n_intensity*n_intensity)
def timeEvolutionGaussianAndDopplerAveraging(n, E, G, Q, Q_decay, tau, laser_power, r_sigma, n_intensity, laser_wavelength, doppler_width, doppler_detunings, time, rho0, rho_output, tau_f = None, detuning = None, rabi_scaling = None, rabi_factors = None, print_eq = None, pretty_print_eq = None, atomic_velocity = None):
"""Calculates the time evolution of a laser-atom system with a Gaussian doppler profile for the atoms and a Gaussian laser beam profile.
Uses a flattened density matrix rho0 and calculates the time evolution over the time specified.
The density matrix at each time step is stored in rho_output.
"""
if(print_eq or pretty_print_eq != None):
print("Cannot print equations when beam profile or doppler averaging!")
print_eq = None
pretty_print_eq = None
# Create rings of laser beam to integrate populations over
R = np.linspace(r_sigma, 3*r_sigma, n_intensity)
# Calculate doppler_spacing
d_doppler = abs(doppler_detunings[1] - doppler_detunings[0])
doppler_factor = d_doppler/(np.sqrt(2*PI*doppler_width*doppler_width))
for doppler_delta in doppler_detunings:
for k, r in enumerate(R, start = 0):
# Calculate the half-rabi frequency
laser_intensity = gaussianIntensity(laser_power, r_sigma, r)
rabi = halfRabiFreq(laser_intensity, tau, laser_wavelength)
A = timeEvolutionMatrix(n, E, G, Q, Q_decay, tau, laser_wavelength, laser_intensity,
tau_f = tau_f, rabi_scaling = rabi_scaling, rabi_factors = rabi_factors,
detuning = detuning, symbolic_print = pretty_print_eq,
numeric_print = print_eq, atomic_velocity = atomic_velocity)
# Compute the diagonalised matrix D and matrix of eigenvectors V
D = diagonalise(A)
V = matrixOfEigenvec(A)
f = np.dot(la.inv(V), rho0) # Compute V^-1*rho(0)
# Calculate the exponential
for position, t in enumerate(time, start = 0):
# Use expm() which computes the matrix exponential using the Pade approximation
VexpDt = np.dot(V, la.expm(D*t)) # Can I make this faster?
rho_t = np.dot(VexpDt, f)
# Append density matrix for each ring and each detuning fraction
# rho(t)_ee
for e in E:
for ep in E:
rho_output[index(e, ep, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(2*k+1)*(rho_t[index(e, ep, n), 0])/(n_intensity*n_intensity)
# rho(t)_gg
for g in G:
for gp in G:
rho_output[index(g, gp, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(2*k+1)*(rho_t[index(g, gp, n), 0])/(n_intensity*n_intensity)
# rho(t)_eg
for e in E:
for g in G:
rho_output[index(e, g, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(2*k+1)*(rho_t[index(e, g, n), 0])/(n_intensity*n_intensity)
#rho(t)_ge
for g in G:
for e in E:
rho_output[index(g, e, n)][position] += doppler_factor*np.exp(-np.power(doppler_delta/doppler_width, 2)/2)*(2*k+1)*(rho_t[index(e, g, n), 0])/(n_intensity*n_intensity)
| 53.336283
| 320
| 0.593496
| 1,672
| 12,054
| 4.114234
| 0.092703
| 0.020933
| 0.027184
| 0.012211
| 0.927606
| 0.92339
| 0.921936
| 0.921936
| 0.921936
| 0.916848
| 0
| 0.00988
| 0.311432
| 12,054
| 226
| 321
| 53.336283
| 0.818916
| 0.219927
| 0
| 0.773438
| 0
| 0
| 0.020082
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.03125
| false
| 0
| 0.054688
| 0
| 0.085938
| 0.1875
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
|
0
| 7
|
3fe07564fa477b598f55d5bbbfe925b19642200b
| 23,173
|
py
|
Python
|
test/dsklayout/graph/edgesTests.py
|
ptomulik/dsklayout
|
e90c50724a144a2ce5bfb180d38e550943350d10
|
[
"Unlicense"
] | null | null | null |
test/dsklayout/graph/edgesTests.py
|
ptomulik/dsklayout
|
e90c50724a144a2ce5bfb180d38e550943350d10
|
[
"Unlicense"
] | null | null | null |
test/dsklayout/graph/edgesTests.py
|
ptomulik/dsklayout
|
e90c50724a144a2ce5bfb180d38e550943350d10
|
[
"Unlicense"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf8 -*-
import unittest
import dsklayout.graph.edges_ as edges_
class Test__Edges(unittest.TestCase):
def test__init__0(self):
edges = edges_.Edges()
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__init__1(self):
edges = edges_.Edges([('s1', 't1'), ('s2', 't2')])
self.assertEqual(edges.data, {('s1','t1'): None, ('s2','t2'): None})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__2(self):
edges = edges_.Edges([('s1', 't1'), ('s2', 't2'), ('s1', 't1')])
self.assertEqual(edges.data, {('s1','t1'): None, ('s2','t2'): None})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__3(self):
edges = edges_.Edges([(('r1','s1'), 't1'), (('r2', 's2'), 't2')])
self.assertEqual(edges.data, {(('r1','s1'),'t1'): None, (('r2','s2'), 't2'): None})
self.assertEqual(edges.successors_dict, {('r1','s1'): set(('t1',)), ('r2', 's2'): set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set((('r1','s1'),)), 't2': set((('r2','s2'),))})
def test__init__3_data_true(self):
edges = edges_.Edges([(('s1','t1'), 'E1'), (('s2', 't2'), 'E2')], data=True)
self.assertEqual(edges.data, {('s1','t1'): 'E1', ('s2','t2'): 'E2'})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__3_edgedata_true(self):
edges = edges_.Edges([(('s1','t1'), 'E1'), (('s2', 't2'), 'E2')], edgedata=True)
self.assertEqual(edges.data, {('s1','t1'): 'E1', ('s2','t2'): 'E2'})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__3_edgedata_true_data_false(self):
edges = edges_.Edges([(('s1','t1'), 'E1'), (('s2', 't2'), 'E2')], edgedata=True, data=False)
self.assertEqual(edges.data, {('s1','t1'): 'E1', ('s2','t2'): 'E2'})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__4(self):
edges = edges_.Edges({('s1','t1'): 'E1', ('s2','t2'): 'E2'})
self.assertEqual(edges.data, {('s1','t1'): 'E1', ('s2','t2'): 'E2'})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__4_data_false(self):
edges = edges_.Edges({('r1','s1'): 't1', ('r2', 's2'): 't2'}, data=False)
self.assertEqual(edges.data, {(('r1','s1'),'t1'): None, (('r2','s2'), 't2'): None})
self.assertEqual(edges.successors_dict, {('r1','s1'): set(('t1',)), ('r2', 's2'): set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set((('r1','s1'),)), 't2': set((('r2','s2'),))})
def test__init__4_edgedata_false(self):
edges = edges_.Edges({('r1','s1'): 't1', ('r2', 's2'): 't2'}, edgedata=False)
self.assertEqual(edges.data, {(('r1','s1'),'t1'): None, (('r2','s2'), 't2'): None})
self.assertEqual(edges.successors_dict, {('r1','s1'): set(('t1',)), ('r2', 's2'): set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set((('r1','s1'),)), 't2': set((('r2','s2'),))})
def test__init__4_edgedata_false_data_true(self):
edges = edges_.Edges({('r1','s1'): 't1', ('r2', 's2'): 't2'}, edgedata=False, data=True)
self.assertEqual(edges.data, {(('r1','s1'),'t1'): None, (('r2','s2'), 't2'): None})
self.assertEqual(edges.successors_dict, {('r1','s1'): set(('t1',)), ('r2', 's2'): set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set((('r1','s1'),)), 't2': set((('r2','s2'),))})
def test__init__5(self):
edges = edges_.Edges({'s1': 'E1', 's2': 'E2'})
self.assertEqual(edges.data, {('s','1'): 'E1', ('s','2'): 'E2'})
self.assertEqual(edges.successors_dict, {'s': set(('1','2'))})
self.assertEqual(edges.predecessors_dict, {'1': set(('s',)), '2': set(('s',))})
def test__init__5_data_false(self):
edges = edges_.Edges({'s1': 't1', 's2': 't2'}, data=False)
self.assertEqual(edges.data, {('s1','t1'): None, ('s2','t2'): None})
self.assertEqual(edges.successors_dict, {'s1': set(('t1',)), 's2': set(('t2',))})
self.assertEqual(edges.predecessors_dict, {'t1': set(('s1',)), 't2': set(('s2',))})
def test__init__6(self):
edges = edges_.Edges(['pq', 'rs']) # yes, quite strange, so just warn you here...
self.assertEqual(edges.data, {('p','q'): None, ('r','s'): None})
def test__has_successors(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('q', 's')])
self.assertTrue(edges.has_successors('p'))
self.assertTrue(edges.has_successors('q'))
self.assertFalse(edges.has_successors('r'))
self.assertFalse(edges.has_successors('s'))
self.assertFalse(edges.has_successors('x'))
def test__has_predecessors(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertFalse(edges.has_predecessors('p'))
self.assertTrue(edges.has_predecessors('q'))
self.assertTrue(edges.has_predecessors('r'))
self.assertFalse(edges.has_predecessors('s'))
self.assertFalse(edges.has_predecessors('x'))
def test__has_neighbors(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertTrue(edges.has_neighbors('p'))
self.assertTrue(edges.has_neighbors('q'))
self.assertTrue(edges.has_neighbors('r'))
self.assertTrue(edges.has_neighbors('s'))
self.assertFalse(edges.has_neighbors('x'))
def test__successors__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.successors('p')), set)
def test__successors__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('q', 's')])
self.assertEqual(edges.successors('p'), set(('q',)))
self.assertEqual(edges.successors('q'), set(('r','s')))
self.assertEqual(edges.successors('r'), set())
def test__successors__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.successors('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__predecessors__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.predecessors('q')), set)
def test__predecessors__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertEqual(edges.predecessors('p'), set())
self.assertEqual(edges.predecessors('q'), set(('p',)))
self.assertEqual(edges.predecessors('r'), set(('q','s')))
self.assertEqual(edges.predecessors('s'), set())
def test__predecessors__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.predecessors('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__neighbors__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.neighbors('p')), set)
def test__neighbors__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertEqual(edges.neighbors('p'), set(('q',)))
self.assertEqual(edges.neighbors('q'), set(('p','r')))
self.assertEqual(edges.neighbors('r'), set(('q','s')))
self.assertEqual(edges.neighbors('s'), set(('r',)))
def test__neighbors__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.neighbors('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__outward__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.outward('p')), set)
def test__outward__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertEqual(edges.outward('p'), set([('p','q'),]))
self.assertEqual(edges.outward('q'), set([('q','r'),]))
self.assertEqual(edges.outward('r'), set())
self.assertEqual(edges.outward('s'), set([('s','r'),]))
def test__outward__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.outward('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__inward__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.inward('p')), set)
def test__inward__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertEqual(edges.inward('p'), set())
self.assertEqual(edges.inward('q'), set([('p','q'),]))
self.assertEqual(edges.inward('r'), set([('q','r'), ('s','r')]))
self.assertEqual(edges.inward('s'), set())
def test__inward__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.inward('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__incident__1(self):
edges = edges_.Edges([('p', 'q')])
self.assertEqual(type(edges.incident('p')), set)
def test__incident__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r'), ('s', 'r')])
self.assertEqual(edges.incident('p'), set([('p','q')]))
self.assertEqual(edges.incident('q'), set([('p','q'), ('q','r')]))
self.assertEqual(edges.incident('r'), set([('q','r'), ('s','r')]))
self.assertEqual(edges.incident('s'), set([('s','r')]))
def test__incident__KeyError(self):
edges = edges_.Edges([('p', 'q')])
with self.assertRaises(KeyError) as context:
edges.incident('n0')
self.assertEqual(repr('n0'), str(context.exception))
def test__adjacent__1(self):
self.assertEqual(edges_.Edges.adjacent('p', ('p', 'q')), 'q')
self.assertEqual(edges_.Edges.adjacent('q', ('p', 'q')), 'p')
def test__adjacent__2(self):
self.assertEqual(edges_.Edges.adjacent('p', ['p', 'q']), 'q')
self.assertEqual(edges_.Edges.adjacent('q', ['p', 'q']), 'p')
def test__adjacent__KeyError(self):
with self.assertRaises(KeyError) as context:
edges_.Edges.adjacent('r', ('p', 'q'))
self.assertEqual(repr('r'), str(context.exception))
def test__adjacent__ValueError_1(self):
with self.assertRaises(ValueError) as context:
edges_.Edges.adjacent('r', ('p',))
## self.assertIn("not enough values to unpack", str(context.exception))
def test__adjacent__ValueError_2(self):
with self.assertRaises(ValueError) as context:
edges_.Edges.adjacent('r', ('p','q','r'))
## self.assertIn("too many values to unpack", str(context.exception))
def test__contains__1(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r')])
self.assertIn(('p','q'), edges)
self.assertIn(('q','r'), edges)
def test__contains__2(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r')])
self.assertIn(['p','q'], edges)
self.assertIn(['q','r'], edges)
def test__contains__3(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r')])
self.assertNotIn(('p','r'), edges)
self.assertNotIn(('t','q'), edges) # must not throw
def test__contains__4(self):
edges = edges_.Edges([('p', 'q'), ('q', 'r')])
self.assertNotIn(('p','r'), edges)
self.assertNotIn(('p',), edges) # must not throw
self.assertNotIn(('p','q', 'r'), edges) # must not throw
def test__contains__5(self):
edges = edges_.Edges({('p', 'q'): 'E1', ('q', 'r'): 'E2'})
self.assertNotIn('E1', edges)
self.assertNotIn('E2', edges)
def test__contains__6(self):
edges = edges_.Edges([('p', 'q'), ('r', 's')])
self.assertIn('pq', edges) # yes, quite strange, so I just warn you here...
self.assertIn('rs', edges) # yes, quite strange, so I just warn you here...
def test__contains__7(self):
edges = edges_.Edges(['pq', 'rs']) # yes, quite strange, so I just warn you here...
self.assertIn('pq', edges) # yes, quite strange, so I just warn you here...
self.assertIn('rs', edges) # yes, quite strange, so I just warn you here...
def test__iter__(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(list(iter(edges)), list(iter(edges.data)))
def test__len__(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(len(edges), 2)
def test__repr__1(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(repr(edges), "Edges(%s)" % repr(edges.data))
def test__repr__2(self):
edges = edges_.Edges()
self.assertEqual(repr(edges), "Edges()")
def test__getitem__1(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges[('p','q')],'E1')
self.assertEqual(edges[('q','r')],'E2')
def test__getitem__2(self):
edges = edges_.Edges({('p','q'): 'E1', ('r','s'): 'E2'})
self.assertEqual(edges['pq'],'E1')
self.assertEqual(edges['rs'],'E2')
def test__getitem__KeyError_1(self):
edges = edges_.Edges()
with self.assertRaises(KeyError) as context:
edges[('p', 'q')]
self.assertEqual(repr(('p', 'q')), str(context.exception))
def test__getitem__KeyError_2(self):
edges = edges_.Edges()
with self.assertRaises(KeyError) as context:
edges[['p', 'q']]
self.assertEqual(repr(['p', 'q']), str(context.exception))
def test__getitem__KeyError_3(self):
edges = edges_.Edges()
with self.assertRaises(KeyError) as context:
edges['pq']
self.assertEqual(repr('pq'), str(context.exception))
def test__getitem__KeyError_4(self):
edges = edges_.Edges([('p','q'), ('q','r')])
with self.assertRaises(KeyError) as context:
edges[('p',)]
self.assertEqual(repr(('p',)), str(context.exception))
def test__getitem__KeyError_5(self):
edges = edges_.Edges([('p','q'), ('q','r')])
with self.assertRaises(KeyError) as context:
edges[('p','q','r')]
self.assertEqual(repr(('p','q','r')), str(context.exception))
def test__setitem__1(self):
edges = edges_.Edges({('p','q'): 'E1'})
edges[('p','q')] = '_E1_'
self.assertEqual(edges.data, {('p','q'): '_E1_'})
self.assertEqual(edges.successors_dict, {'p': set(('q',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',))})
def test__setitem__2(self):
edges = edges_.Edges({('p','q'): 'E1'})
edges[('p','q')] = '_E1_'
edges[('q','r')] = '_E2_'
self.assertEqual(edges.data, {('p','q'): '_E1_', ('q','r'): '_E2_'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__setitem__ValueError_1(self):
edges = edges_.Edges()
with self.assertRaises(ValueError) as context:
edges[('p',)] = 'E1'
## self.assertIn("not enough values to unpack", str(context.exception))
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__setitem__ValueError_2(self):
edges = edges_.Edges()
with self.assertRaises(ValueError) as context:
edges[('p','q','r')] = 'E1'
## self.assertIn("too many values to unpack", str(context.exception))
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__delitem__1(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
del edges[('p','q')]
self.assertEqual(edges.data, {('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'r': set(('q',))})
def test__delitem__KeyError_1(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
with self.assertRaises(KeyError) as context:
del edges[('r','p')]
self.assertEqual(repr(('r','p')), str(context.exception))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__delitem__KeyError_2(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
with self.assertRaises(KeyError) as context:
del edges[('q','p')]
self.assertEqual(repr(('q','p')), str(context.exception))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__delitem__KeyError_3(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
with self.assertRaises(KeyError) as context:
del edges[('p',)]
self.assertEqual(repr(('p',)), str(context.exception))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__delitem__KeyError_4(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
with self.assertRaises(KeyError) as context:
del edges[('p','q','r')]
self.assertEqual(repr(('p','q','r')), str(context.exception))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__add__1(self):
edges = edges_.Edges({('p','q'): 'E1'})
edges.add(('p','q'), '_E1_')
edges.add(('q','r'), '_E2_')
self.assertEqual(edges.data, {('p','q'): '_E1_', ('q','r'): '_E2_'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__add__2(self):
edges = edges_.Edges({('p','q'): 'E1'})
edges.add(('p','q'))
edges.add(('q','r'))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): None})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__add__ValueError_1(self):
edges = edges_.Edges()
with self.assertRaises(ValueError) as context:
edges.add(('p',))
## self.assertIn("not enough values to unpack", str(context.exception))
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__add__ValueError_2(self):
edges = edges_.Edges()
with self.assertRaises(ValueError) as context:
edges.add(('p','q','r'))
## self.assertIn("too many values to unpack", str(context.exception))
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__discard__1(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
edges.discard(('p','q'))
self.assertEqual(edges.data, {('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'r': set(('q',))})
def test__discard__2(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
edges.discard(('r','p'))
self.assertEqual(edges.data, {('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__clear(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
edges.clear()
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__items(self):
edges = edges_.Edges({('p','q'): 'E1', ('q','r'): 'E2'})
self.assertEqual(list(edges.items()), list(edges.data.items()))
def test__del_incident__1(self):
edges = edges_.Edges([('p','q'), ('q','r'), ('s', 'q')])
edges.del_incident('s')
self.assertEqual(edges.data, {('p','q'): None, ('q','r'): None})
self.assertEqual(edges.successors_dict, {'p': set(('q',)), 'q': set(('r',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',)), 'r': set(('q',))})
def test__del_incident__2(self):
edges = edges_.Edges([('p','q'), ('q','r'), ('s', 'q')])
edges.del_incident('q')
self.assertEqual(edges.data, dict())
self.assertEqual(edges.successors_dict, dict())
self.assertEqual(edges.predecessors_dict, dict())
def test__del_incident__3(self):
edges = edges_.Edges([('p','q'), ('q','r'), ('s', 'r')])
edges.del_incident('r')
self.assertEqual(edges.data, {('p','q'): None})
self.assertEqual(edges.successors_dict, {'p': set(('q',))})
self.assertEqual(edges.predecessors_dict, {'q': set(('p',))})
def test__del_incident__KeyError(self):
edges = edges_.Edges([('p','q'), ('q','r')])
with self.assertRaises(KeyError) as context:
edges.del_incident('s')
self.assertEqual(repr('s'), str(context.exception))
if __name__ == '__main__':
unittest.main()
# vim: set ft=python et ts=4 sw=4:
| 46.532129
| 105
| 0.554784
| 2,915
| 23,173
| 4.224357
| 0.038079
| 0.127497
| 0.207893
| 0.114179
| 0.889475
| 0.828244
| 0.794137
| 0.755888
| 0.734124
| 0.720887
| 0
| 0.0207
| 0.199456
| 23,173
| 497
| 106
| 46.625755
| 0.643092
| 0.036681
| 0
| 0.475248
| 0
| 0
| 0.054801
| 0
| 0
| 0
| 0
| 0
| 0.517327
| 1
| 0.195545
| false
| 0
| 0.004951
| 0
| 0.20297
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b77acf69c9c127b7adc472210c295dabef9a7ca2
| 8,764
|
py
|
Python
|
tests/test_nodes.py
|
EajksEajks/pillar-python-sdk
|
04761f09c6783baca8e3e6f57712cef1a1e732b1
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
tests/test_nodes.py
|
EajksEajks/pillar-python-sdk
|
04761f09c6783baca8e3e6f57712cef1a1e732b1
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
tests/test_nodes.py
|
EajksEajks/pillar-python-sdk
|
04761f09c6783baca8e3e6f57712cef1a1e732b1
|
[
"BSD-2-Clause-FreeBSD"
] | null | null | null |
import unittest
import responses
import pillarsdk
import pillarsdk.exceptions as sdk_exceptions
mock = responses.RequestsMock(assert_all_requests_are_fired=True)
class AssetNodesTests(unittest.TestCase):
def setUp(self):
self.endpoint = 'http://localhost:12345'
self.api = pillarsdk.Api(
endpoint=self.endpoint,
username='',
password='',
token='jemoeder',
)
self.project_id = 1234
@mock.activate
def test_create_asset_from_file__always_new_node(self):
parent_node_id = 24 * 'a'
mock.add(responses.POST,
'%s/nodes' % self.endpoint,
json={
'_id': 24 * 'b',
'parent': parent_node_id,
'name': 'test_nodes.py',
'project': self.project_id,
},
status=201)
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'ok',
'file_id': 24 * 'c',
},
status=201)
node = pillarsdk.Node.create_asset_from_file(
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
always_create_new_node=True,
api=self.api)
self.assertEqual(node['_id'], 24 * 'b')
self.assertEqual(node['parent'], parent_node_id)
self.assertEqual(node['name'], 'test_nodes.py')
self.assertEqual(node['node_type'], 'asset')
self.assertEqual(node['properties']['content_type'], 'image')
self.assertEqual(node['properties']['file'], 24 * 'c')
@mock.activate
def test_create_asset_from_file__update_existing_node(self):
parent_node_id = 24 * 'a'
asset_node_id = 24 * 'b'
# Uploading the file
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'ok',
'file_id': 24 * 'c',
},
status=201)
# Finding the existing node
mock.add(responses.GET,
'%s/nodes' % self.endpoint,
json={'_items': [{
'_id': asset_node_id,
'_etag': 'awesome-etag',
'name': 'test_nodes.py',
'node_type': 'asset',
'project': self.project_id,
'parent': parent_node_id,
'properties': {
'content_type': 'video',
'file': 24 * 'e',
}}
]
})
# Updating the node
mock.add(responses.PUT,
'%s/nodes/%s' % (self.endpoint, asset_node_id),
json={'_created': 'Wed, 29 Jun 2016 14:45:35 GMT',
'_deleted': False,
'_etag': 'df983fb8834802be83f0f657201cbf7a3d177a9c',
'_id': asset_node_id,
'_status': 'OK',
'_updated': 'Tue, 05 Jul 2016 14:12:27 GMT'},
status=200)
node = pillarsdk.Node.create_asset_from_file(
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
api=self.api)
self.assertEqual(node['_id'], asset_node_id)
self.assertEqual(node['parent'], parent_node_id)
self.assertEqual(node['name'], 'test_nodes.py')
self.assertEqual(node['node_type'], 'asset')
self.assertEqual(node['properties']['content_type'], 'image')
self.assertEqual(node['properties']['file'], 24 * 'c')
@mock.activate
def test_create_asset_from_file__create_new_node(self):
parent_node_id = 24 * 'a'
asset_node_id = 24 * 'b'
# Upload the file
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'ok',
'file_id': 24 * 'c',
},
status=201)
# Try to find whether the node exists (it doesn't).
mock.add(responses.GET,
'%s/nodes' % self.endpoint,
json={'_items': []})
# Create a new node
mock.add(responses.POST,
'%s/nodes' % self.endpoint,
json={
'_id': asset_node_id,
'parent': parent_node_id,
'name': 'test_nodes.py',
'project': self.project_id,
},
status=201)
node = pillarsdk.Node.create_asset_from_file(
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
api=self.api)
self.assertEqual(node['_id'], asset_node_id)
self.assertEqual(node['parent'], parent_node_id)
self.assertEqual(node['name'], 'test_nodes.py')
self.assertEqual(node['node_type'], 'asset')
self.assertEqual(node['properties']['content_type'], 'image')
self.assertEqual(node['properties']['file'], 24 * 'c')
@mock.activate
def test_create_asset_from_file__upload_fails(self):
parent_node_id = 24 * 'a'
# Upload the file
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'error',
'error': 'Internal server error'
},
status=500)
self.assertRaises(
sdk_exceptions.ServerError,
pillarsdk.Node.create_asset_from_file,
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
api=self.api)
@mock.activate
def test_create_asset_from_file__create_new_node_fails(self):
parent_node_id = 24 * 'a'
asset_node_id = 24 * 'b'
# Upload the file
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'ok',
'file_id': 24 * 'c',
},
status=201)
# Try to find whether the node exists (it doesn't).
mock.add(responses.GET,
'%s/nodes' % self.endpoint,
json={'_items': []})
# Create a new node, which fails
mock.add(responses.POST,
'%s/nodes' % self.endpoint,
status=500)
self.assertRaises(
sdk_exceptions.ServerError,
pillarsdk.Node.create_asset_from_file,
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
api=self.api)
@mock.activate
def test_create_asset_from_file__update_existing_node_fails(self):
parent_node_id = 24 * 'a'
asset_node_id = 24 * 'b'
# Uploading the file
mock.add(responses.POST,
'%s/storage/stream/%s' % (self.endpoint, self.project_id),
json={
'status': 'ok',
'file_id': 24 * 'c',
},
status=201)
# Finding the existing node
mock.add(responses.GET,
'%s/nodes' % self.endpoint,
json={'_items': [{
'_id': asset_node_id,
'_etag': 'awesome-etag',
'name': 'test_nodes.py',
'node_type': 'asset',
'project': self.project_id,
'parent': parent_node_id,
'properties': {
'content_type': 'video',
'file': 24 * 'e',
}}
]
})
# Updating the node fails
mock.add(responses.PUT,
'%s/nodes/%s' % (self.endpoint, asset_node_id),
status=500)
self.assertRaises(
sdk_exceptions.ServerError,
pillarsdk.Node.create_asset_from_file,
project_id=self.project_id,
parent_node_id=parent_node_id,
asset_type='image',
filename=__file__,
api=self.api)
| 34.101167
| 75
| 0.4911
| 876
| 8,764
| 4.63242
| 0.130137
| 0.059142
| 0.073928
| 0.056185
| 0.866683
| 0.86619
| 0.86619
| 0.852637
| 0.827501
| 0.827501
| 0
| 0.025319
| 0.391602
| 8,764
| 256
| 76
| 34.234375
| 0.735746
| 0.037426
| 0
| 0.799043
| 0
| 0
| 0.125148
| 0.004749
| 0
| 0
| 0
| 0
| 0.105263
| 1
| 0.033493
| false
| 0.004785
| 0.019139
| 0
| 0.057416
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b7c6a0cb107dca32c218911736f178055b60e7f0
| 8,911
|
py
|
Python
|
examples/measure_throughput.py
|
jethrosun/SafeBricks
|
290734c3f50a41dfd7bcd155d0447dd250e4fc10
|
[
"ISC"
] | null | null | null |
examples/measure_throughput.py
|
jethrosun/SafeBricks
|
290734c3f50a41dfd7bcd155d0447dd250e4fc10
|
[
"ISC"
] | null | null | null |
examples/measure_throughput.py
|
jethrosun/SafeBricks
|
290734c3f50a41dfd7bcd155d0447dd250e4fc10
|
[
"ISC"
] | null | null | null |
import os
import time
from termcolor import colored
import datetime
CmdSafeBricks = {
'startdpdk': 'cd .. && ./run_dpdk.sh {num_queue} 2>/dev/null &',
'startsgx': 'cd .. && ./run_sgx.sh {task} {num_queue} 2>/dev/null &',
'killdpdk': 'sudo pkill dpdkIO',
'killsgx': 'sudo pkill sgx-runner',
}
CmdPktgen = {
'start': 'ssh -i /home/yangz/.ssh/id_rsa yangz@10.243.38.93 "cd ./pktgen/dpdk_zeroloss_dyn/ && bash run_netbricks.sh ../l2.conf 0.1 32 60 1 {type}"',
'kill': 'sudo pkill "ssh yangz@10.243.38.93" 2>/dev/null'
}
start_string = 'pkt sent, '
end_string = ' Mpps'
def task_exec_reboot(task, pktgen_types, num_queue, repeat_num, throughput_res):
# repeat the booting until succeeding
for i in range(repeat_num):
for pktgen_type in pktgen_types:
while(1):
fail_count_inner = 0
print "start task %s" % (task,)
os.system(CmdSafeBricks['startdpdk'].format(num_queue=num_queue))
time.sleep(5) # wait for dpdk gets actually started
os.system(CmdSafeBricks['startsgx'].format(task=task, num_queue=num_queue))
time.sleep(10 * num_queue) # wait for task gets actually started
print "start pktgen %s" % (pktgen_type,)
pktgen_results = os.popen(CmdPktgen['start'].format(type=pktgen_type)).read()
print "end pktgen %s" % (pktgen_type,)
print pktgen_results
start_index = pktgen_results.find(start_string) + len(start_string)
# this task executes error.
if start_index == -1:
print colored("%s %s %s fails" % (task, pktgen_type, num_queue), 'red')
fail_count_inner += 1
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(5) # wait for the port being restored.
continue
end_index = pktgen_results.find(end_string, start_index)
if end_index == -1:
print colored("%s %s %s fails" % (task, pktgen_type, num_queue), 'red')
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(5) # wait for the port being restored.
fail_count_inner += 1
continue
if fail_count_inner > 5:
return -1
throughput_val = pktgen_results[start_index: end_index]
throughput_val = float(throughput_val)
start_index = pktgen_results.find("avg_latency: ") + len("avg_latency: ")
end_index = pktgen_results.find(", tail_latency: ", start_index)
avg_latency_val = pktgen_results[start_index: end_index]
avg_latency_val = float(avg_latency_val)
start_index = pktgen_results.find(", tail_latency: ") + len(", tail_latency: ")
end_index = pktgen_results.find("\n", start_index)
tail_latency_val = pktgen_results[start_index: end_index]
tail_latency_val = float(tail_latency_val)
print colored("throughput_val: %lf, avg_latency_val: %lf, tail_latency_val: %lf" % (throughput_val, avg_latency_val, tail_latency_val), 'blue')
throughput_res.write(task + "," + pktgen_type + "," + str(num_queue) + "," + str(throughput_val) + "," + str(avg_latency_val) + "," + str(tail_latency_val) + "\n")
throughput_res.flush()
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(10) # wait for the port being restored.
break
return 0
def task_exec(task, pktgen_types, num_queue, repeat_num, throughput_res):
# repeat the booting until succeeding
fail_count_inner = 0
test_pktgen = pktgen_types[0]
while(1):
print "start task %s" % (task,)
os.system(CmdSafeBricks['startdpdk'].format(num_queue=num_queue))
time.sleep(5) # wait for dpdk gets actually started
os.system(CmdSafeBricks['startsgx'].format(task=task, num_queue=num_queue))
time.sleep(10 * num_queue) # wait for task gets actually started
print "start pktgen %s" % (test_pktgen,)
pktgen_results = os.popen(CmdPktgen['start'].format(type=test_pktgen)).read()
print "end pktgen %s" % (test_pktgen,)
print pktgen_results
start_index = pktgen_results.find(start_string) + len(start_string)
# this task executes error.
if start_index == -1:
print colored("%s %s %s fails" % (task, test_pktgen, num_queue), 'red')
fail_count_inner += 1
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(5) # wait for the port being restored.
continue
end_index = pktgen_results.find(end_string, start_index)
if end_index == -1:
print colored("%s %s %s fails" % (task, test_pktgen, num_queue), 'red')
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(5) # wait for the port being restored.
fail_count_inner += 1
continue
if fail_count_inner > 5:
return -1
else:
break
for i in range(repeat_num):
for pktgen_type in pktgen_types:
print "start pktgen %s" % (pktgen_type,)
pktgen_results = os.popen(CmdPktgen['start'].format(type=pktgen_type)).read()
print "end pktgen %s" % (pktgen_type,)
print pktgen_results
start_index = pktgen_results.find(start_string) + len(start_string)
end_index = pktgen_results.find(end_string, start_index)
throughput_val = pktgen_results[start_index: end_index]
throughput_val = float(throughput_val)
start_index = pktgen_results.find("avg_latency: ") + len("avg_latency: ")
end_index = pktgen_results.find(", tail_latency: ", start_index)
avg_latency_val = pktgen_results[start_index: end_index]
avg_latency_val = float(avg_latency_val)
start_index = pktgen_results.find(", tail_latency: ") + len(", tail_latency: ")
end_index = pktgen_results.find("\n", start_index)
tail_latency_val = pktgen_results[start_index: end_index]
tail_latency_val = float(tail_latency_val)
print colored("throughput_val: %lf, avg_latency_val: %lf, tail_latency_val: %lf" % (throughput_val, avg_latency_val, tail_latency_val), 'blue')
throughput_res.write(task + "," + pktgen_type + "," + str(num_queue) + "," + str(throughput_val) + "," + str(avg_latency_val) + "," + str(tail_latency_val) + "\n")
throughput_res.flush()
os.system(CmdSafeBricks['killdpdk'])
time.sleep(5) # wait for the port being restored.
os.system(CmdSafeBricks['killsgx'])
# os.system(CmdSafeBricks['killsgx'])
time.sleep(10) # wait for the port being restored.
return 0
tasks_nonreboot = [ "lpm", "maglev"]
tasks_reboot = ["acl-fw", "dpi", "monitoring", "nat-tcp-v4"]
pktgens = ["ICTF", "CAIDA64", "CAIDA256", "CAIDA512", "CAIDA1024"]
pktgens_acl = ["ICTF_ACL", "CAIDA64_ACL", "CAIDA256_ACL", "CAIDA512_ACL", "CAIDA1024_ACL"]
tasks_ipsec_nonreboot = []
tasks_ipsec_reboot = ["lpm-ipsec", "maglev-ipsec", "acl-fw-ipsec", "dpi-ipsec", "monitoring-ipsec", "nat-tcp-v4-ipsec"]
pktgens_ipsec = ["ICTF_IPSEC", "CAIDA64_IPSEC", "CAIDA256_IPSEC", "CAIDA512_IPSEC", "CAIDA1024_IPSEC"]
pktgens_ipsec_acl = ["ICTF_IPSEC_ACL", "CAIDA64_IPSEC_ACL", "CAIDA256_IPSEC_ACL", "CAIDA512_IPSEC_ACL", "CAIDA1024_IPSEC_ACL"]
num_queues = [1, 2, 4]
# num_queues = [1]
# ps -ef | grep release
# sudo kill -9 ####
TIMES = 10
if __name__ == '__main__':
now = datetime.datetime.now()
throughput_res = open("./throughput-eva/throughput.txt_" + now.isoformat(), 'w')
fail_cases = list()
run_count = 0
fail_count = 0
for task in tasks_reboot:
for num_queue in num_queues:
run_count += 1
if task == "acl-fw":
status = task_exec_reboot(task, pktgens_acl, num_queue, TIMES, throughput_res)
else:
status = task_exec_reboot(task, pktgens, num_queue, TIMES, throughput_res)
if status == -1:
fail_count += 1
fail_cases.append(task + " " + num_queue)
for task in tasks_nonreboot:
for num_queue in num_queues:
run_count += 1
status = task_exec(task, pktgens, num_queue, TIMES, throughput_res)
if status == -1:
fail_count += 1
fail_cases.append(task + " " + num_queue)
for task in tasks_ipsec_reboot:
for num_queue in num_queues:
run_count += 1
if task == "acl-fw-ipsec":
status = task_exec_reboot(task, pktgens_ipsec_acl, num_queue, TIMES, throughput_res)
else:
status = task_exec_reboot(task, pktgens_ipsec, num_queue, TIMES, throughput_res)
if status == -1:
fail_count += 1
fail_cases.append(task + " " + num_queue)
for task in tasks_ipsec_nonreboot:
for num_queue in num_queues:
run_count += 1
status = task_exec(task, pktgens_ipsec, num_queue, TIMES, throughput_res)
if status == -1:
fail_count += 1
fail_cases.append(task + " " + num_queue)
print colored(("success runs: %d/%d", (run_count - fail_count), run_count), 'green')
throughput_res.close()
| 37.441176
| 167
| 0.701493
| 1,268
| 8,911
| 4.671136
| 0.125394
| 0.045923
| 0.078001
| 0.052001
| 0.805504
| 0.792166
| 0.786932
| 0.780854
| 0.773426
| 0.765997
| 0
| 0.018613
| 0.161935
| 8,911
| 237
| 168
| 37.599156
| 0.774505
| 0.105824
| 0
| 0.714286
| 0
| 0.005495
| 0.181772
| 0.010337
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.021978
| null | null | 0.098901
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b7d072b5de07bda743660c696caa611d91431f57
| 3,208
|
py
|
Python
|
tests/test_cloud_discovery.py
|
pyToshka/cloud-discovery
|
c66eb8b5c5c9a0566994fe9436abea64d57dcf99
|
[
"BSD-3-Clause"
] | 5
|
2021-01-14T14:02:05.000Z
|
2022-01-18T10:29:00.000Z
|
tests/test_cloud_discovery.py
|
pyToshka/cloud-discovery
|
c66eb8b5c5c9a0566994fe9436abea64d57dcf99
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_cloud_discovery.py
|
pyToshka/cloud-discovery
|
c66eb8b5c5c9a0566994fe9436abea64d57dcf99
|
[
"BSD-3-Clause"
] | 1
|
2021-01-26T19:37:50.000Z
|
2021-01-26T19:37:50.000Z
|
def test_import_cloud_discovery():
import cloud_discovery
assert cloud_discovery is not None
def test_cloud_discovery_plugin_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin"])
plugin = app.plugins.get("cloud_discovery_plugin")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin)
def test_cloud_discovery_plugin_azure_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_azure
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_azure"])
plugin = app.plugins.get("cloud_discovery_plugin_azure")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_azure)
def test_cloud_discovery_plugin_do_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_do
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_do"])
plugin = app.plugins.get("cloud_discovery_plugin_do")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_do)
def test_cloud_discovery_plugin_gce_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_gce
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_gce"])
plugin = app.plugins.get("cloud_discovery_plugin_gce")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_gce)
def test_cloud_discovery_plugin_k8s_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_k8s
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_k8s"])
plugin = app.plugins.get("cloud_discovery_plugin_k8s")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_k8s)
def test_cloud_discovery_plugin_li_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_linode
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_linode"])
plugin = app.plugins.get("cloud_discovery_plugin_linode")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_linode)
def test_cloud_discovery_plugin_os_activation():
from cloud_discovery.applications import CLOUD_DISCOVERY_APP
from cloud_discovery.plugins import cloud_discovery_plugin_os
my_app = CLOUD_DISCOVERY_APP()
app = my_app.app
app.plugins.activate(["cloud_discovery_plugin_os"])
plugin = app.plugins.get("cloud_discovery_plugin_os")
assert plugin is not None
assert isinstance(plugin, cloud_discovery_plugin_os)
| 36.044944
| 69
| 0.794888
| 429
| 3,208
| 5.536131
| 0.060606
| 0.389053
| 0.294737
| 0.061895
| 0.925474
| 0.845895
| 0.845895
| 0.730947
| 0.730947
| 0.730947
| 0
| 0.001819
| 0.14308
| 3,208
| 88
| 70
| 36.454545
| 0.862132
| 0
| 0
| 0.424242
| 0
| 0
| 0.112843
| 0.112843
| 0
| 0
| 0
| 0
| 0.227273
| 1
| 0.121212
| false
| 0
| 0.242424
| 0
| 0.363636
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
4d09c1699e331d94a1b15566f76fb30c8900bb56
| 1,374
|
py
|
Python
|
harun/src/sign.py
|
wangrl2016/coding
|
fd6cd342cade42379c4a0447d83e17c6596fd3a3
|
[
"MIT"
] | 4
|
2021-02-20T03:47:48.000Z
|
2021-11-09T17:25:43.000Z
|
harun/src/sign.py
|
wangrl2016/coding
|
fd6cd342cade42379c4a0447d83e17c6596fd3a3
|
[
"MIT"
] | null | null | null |
harun/src/sign.py
|
wangrl2016/coding
|
fd6cd342cade42379c4a0447d83e17c6596fd3a3
|
[
"MIT"
] | null | null | null |
from src import phone
def zhaoshang(device, w, h):
return None
def toutiao(device, w, h):
phone.tap(device, w / 2, 2340)
def kuaishou(device, w, h):
return None
def douyin(device, w, h):
return None
def jingdong(device, w, h):
return None
def fanqie(device, w, h):
return None
def fanchang(device, w, h):
return None
def kuchang(device, w, h):
return None
def shuqi(device, w, h):
return None
def yingke(device, w, h):
return None
def kugou(device, w, h):
return None
def zhongqing(device, w, h):
return None
def kuaiyin(device, w, h):
return None
def kuge(device, w, h):
return None
def momo(device, w, h):
return None
def qingtuanshe(device, w, h):
return None
def eleme(device, w, h):
return None
def changdou(device, w, h):
return None
def kuaikandian(device, w, h):
return None
def qutoutiao(device, w, h):
phone.tap(device, 750, 2330)
def baidu(device, w, h):
phone.tap(device, 750, 2330)
def weishi(device, w, h):
return None
def douhuo(device, w, h):
return None
def chejia(device, w, h):
return None
def uc(device, w, h):
return None
def diantao(device, w, h):
return None
def huitoutiao(device, w, h):
return None
def touda(device, w, h):
return None
def shuabao(device, w, h):
return None
| 11.644068
| 34
| 0.622999
| 217
| 1,374
| 3.9447
| 0.202765
| 0.245327
| 0.271028
| 0.425234
| 0.734813
| 0.713785
| 0.074766
| 0.074766
| 0.074766
| 0
| 0
| 0.018682
| 0.259825
| 1,374
| 117
| 35
| 11.74359
| 0.823009
| 0
| 0
| 0.474576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.491525
| false
| 0
| 0.016949
| 0.440678
| 0.949153
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
4d1de4503d50dfe94fa82447d62a500c4564c099
| 2,866
|
py
|
Python
|
test/pyaz/afd/origin_group/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
test/pyaz/afd/origin_group/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | 9
|
2021-09-24T16:37:24.000Z
|
2021-12-24T00:39:19.000Z
|
test/pyaz/afd/origin_group/__init__.py
|
bigdatamoore/py-az-cli
|
54383a4ee7cc77556f6183e74e992eec95b28e01
|
[
"MIT"
] | null | null | null |
import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def show(resource_group, profile_name, origin_group_name):
params = get_params(locals())
command = "az afd origin-group show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list(resource_group, profile_name):
params = get_params(locals())
command = "az afd origin-group list " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def create(resource_group, profile_name, origin_group_name, sample_size, successful_samples_required, additional_latency_in_milliseconds, probe_request_type, probe_protocol, probe_path, probe_interval_in_seconds=None):
params = get_params(locals())
command = "az afd origin-group create " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def update(resource_group, profile_name, origin_group_name, sample_size=None, successful_samples_required=None, additional_latency_in_milliseconds=None, probe_request_type=None, probe_protocol=None, probe_path=None, probe_interval_in_seconds=None):
params = get_params(locals())
command = "az afd origin-group update " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def delete(resource_group, profile_name, origin_group_name, yes=None):
params = get_params(locals())
command = "az afd origin-group delete " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
| 38.72973
| 248
| 0.693999
| 359
| 2,866
| 5.392758
| 0.164345
| 0.072314
| 0.051653
| 0.061983
| 0.820248
| 0.820248
| 0.820248
| 0.782025
| 0.782025
| 0.731405
| 0
| 0.004354
| 0.198535
| 2,866
| 73
| 249
| 39.260274
| 0.838485
| 0
| 0
| 0.820896
| 0
| 0
| 0.063154
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.074627
| false
| 0
| 0.029851
| 0
| 0.179104
| 0.223881
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
4d3282b44a1f933060833650754908acc33d4a2f
| 138
|
py
|
Python
|
chainerrl/initializers/__init__.py
|
yuishihara/chainerrl
|
74901712a8ed8207b9d526d3f45b04bf22996b8d
|
[
"MIT"
] | 18
|
2018-08-07T07:27:41.000Z
|
2018-08-20T01:51:21.000Z
|
chainerrl/initializers/__init__.py
|
yuishihara/chainerrl
|
74901712a8ed8207b9d526d3f45b04bf22996b8d
|
[
"MIT"
] | null | null | null |
chainerrl/initializers/__init__.py
|
yuishihara/chainerrl
|
74901712a8ed8207b9d526d3f45b04bf22996b8d
|
[
"MIT"
] | 2
|
2018-08-16T06:47:26.000Z
|
2018-08-20T01:51:22.000Z
|
from chainerrl.initializers.constant import VarianceScalingConstant # NOQA
from chainerrl.initializers.normal import LeCunNormal # NOQA
| 46
| 75
| 0.855072
| 14
| 138
| 8.428571
| 0.642857
| 0.220339
| 0.423729
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101449
| 138
| 2
| 76
| 69
| 0.951613
| 0.065217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4da81369b7479e6e6230649c6209c52601ca895e
| 6,086
|
py
|
Python
|
Multi-Net/src/MatrixTM.py
|
Chngzz/Dynamic-Gesture-Recognition-Based-on-FMCW
|
11b97e65b6f552972660b0d191eff7ec42965a2f
|
[
"Apache-2.0"
] | 2
|
2021-06-29T12:09:29.000Z
|
2021-07-16T02:50:28.000Z
|
Multi-Net/src/MatrixTM.py
|
Chngzz/Dynamic-Gesture-Recognition-Based-on-FMCW
|
11b97e65b6f552972660b0d191eff7ec42965a2f
|
[
"Apache-2.0"
] | 1
|
2021-12-12T10:59:53.000Z
|
2021-12-13T15:18:23.000Z
|
Multi-Net/src/MatrixTM.py
|
Chngzz/Dynamic-Gesture-Recognition-Based-on-FMCW
|
11b97e65b6f552972660b0d191eff7ec42965a2f
|
[
"Apache-2.0"
] | null | null | null |
# app.py
import tensorflow as tf
import vgg
import tfRecord
import utils
import tools
import time
import warnings
import numpy as np
warnings.filterwarnings('ignore')
def evalDTM():
'''
Train the model defined
'''
with tf.name_scope('input'):
# train_image_batch, train_label_batch = tfRecord.createShuffleBatch('../tfRecords/train/train.DTM.tfrecords', utils.batch_size)
val_image_batch, val_label_batch = tfRecord.createBatch('../tfRecords/test/test.DTM.tfrecords', 101)
x = tf.placeholder(tf.float32, shape=[None, utils.img_width, utils.img_height, utils.img_channels])
y_ = tf.placeholder(tf.int16, shape = [None, utils.num_class])
logits = vgg.vgg16('inputx',x, utils.num_class, False)
accuracy = tools.accuracy(logits, y_)
my_global_step = tf.Variable(0, name='global_step', trainable=False)
saver = tf.train.Saver()
with tf.Session() as sess:
saver.restore(sess, '../model/TrainDTM/model-DTM.ckpt-200')
print('** my global step:{}'.format(sess.run(my_global_step)))
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess,coord=coord)
#time_start = time.time()
try:
for i in range(4):
val_images, val_labels = sess.run([val_image_batch, val_label_batch])
val_logits = sess.run(logits, feed_dict={x:val_images})
print('\n -------')
# val_logits = val_logits.tolist()
print('type(val_logits) = ',type(val_logits))
print('val_logits:\n', np.argmax(val_logits,1))
# val_labels = val_labels.tolist()
print('type(val_labels) = ',type(val_labels))
print('val_labels:\n', np.argmax(val_labels,1))
# print('** val accuracy = %.2f%% **'%(val_acc))
except tf.errors.OutOfRangeError:
print('Done training -- epoch limit reached.')
finally:
print('In finally')
coord.request_stop()
coord.join(threads)
def evalDTM():
'''
Train the model defined
'''
with tf.name_scope('input'):
# train_image_batch, train_label_batch = tfRecord.createShuffleBatch('../tfRecords/train/train.DTM.tfrecords', utils.batch_size)
val_image_batch, val_label_batch = tfRecord.createBatch('../tfRecords/test/test.DTM.tfrecords', 101)
x = tf.placeholder(tf.float32, shape=[None, utils.img_width, utils.img_height, utils.img_channels])
y_ = tf.placeholder(tf.int16, shape = [None, utils.num_class])
logits = vgg.vgg16('inputx',x, utils.num_class, False)
accuracy = tools.accuracy(logits, y_)
my_global_step = tf.Variable(0, name='global_step', trainable=False)
saver = tf.train.Saver()
with tf.Session() as sess:
saver.restore(sess, '../model/TrainDTM/model-DTM.ckpt-200')
print('** my global step:{}'.format(sess.run(my_global_step)))
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess,coord=coord)
#time_start = time.time()
try:
for i in range(4):
val_images, val_labels = sess.run([val_image_batch, val_label_batch])
val_logits = sess.run(logits, feed_dict={x:val_images})
print('\n -------')
# val_logits = val_logits.tolist()
print('type(val_logits) = ',type(val_logits))
print('val_logits:\n', np.argmax(val_logits,1))
# val_labels = val_labels.tolist()
print('type(val_labels) = ',type(val_labels))
print('val_labels:\n', np.argmax(val_labels,1))
# print('** val accuracy = %.2f%% **'%(val_acc))
except tf.errors.OutOfRangeError:
print('Done training -- epoch limit reached.')
finally:
print('In finally')
coord.request_stop()
coord.join(threads)
def evalDTM():
'''
Train the model defined
'''
with tf.name_scope('input'):
# train_image_batch, train_label_batch = tfRecord.createShuffleBatch('../tfRecords/train/train.DTM.tfrecords', utils.batch_size)
val_image_batch, val_label_batch = tfRecord.createBatch('../tfRecords/test/test.DTM.tfrecords', 101)
x = tf.placeholder(tf.float32, shape=[None, utils.img_width, utils.img_height, utils.img_channels])
y_ = tf.placeholder(tf.int16, shape = [None, utils.num_class])
logits = vgg.vgg16('inputx',x, utils.num_class, False)
accuracy = tools.accuracy(logits, y_)
my_global_step = tf.Variable(0, name='global_step', trainable=False)
saver = tf.train.Saver()
with tf.Session() as sess:
saver.restore(sess, '../model/TrainDTM/model-DTM.ckpt-200')
print('** my global step:{}'.format(sess.run(my_global_step)))
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess,coord=coord)
#time_start = time.time()
try:
for i in range(4):
val_images, val_labels = sess.run([val_image_batch, val_label_batch])
val_logits = sess.run(logits, feed_dict={x:val_images})
print('\n -------')
# val_logits = val_logits.tolist()
print('type(val_logits) = ',type(val_logits))
print('val_logits:\n', np.argmax(val_logits,1))
# val_labels = val_labels.tolist()
print('type(val_labels) = ',type(val_labels))
print('val_labels:\n', np.argmax(val_labels,1))
# print('** val accuracy = %.2f%% **'%(val_acc))
except tf.errors.OutOfRangeError:
print('Done training -- epoch limit reached.')
finally:
print('In finally')
coord.request_stop()
coord.join(threads)
if __name__ == '__main__':
evalDTM()
| 40.573333
| 137
| 0.593986
| 737
| 6,086
| 4.698779
| 0.14654
| 0.054577
| 0.031187
| 0.027722
| 0.95553
| 0.95553
| 0.95553
| 0.95553
| 0.95553
| 0.95553
| 0
| 0.011435
| 0.267171
| 6,086
| 149
| 138
| 40.845638
| 0.765022
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| 0.143656
| 0.043157
| 0
| 0
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| 1
| 0.030612
| false
| 0
| 0.081633
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| 0.112245
| 0.244898
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 1
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0
| 7
|
4dbd58dd284b9729b42621839573ea70a6804dae
| 9,167
|
py
|
Python
|
casbin/management_enforcer.py
|
nghnam/pycasbin
|
90ded85e352026838a69aacd7e5a36e0bb7ac763
|
[
"Apache-2.0"
] | null | null | null |
casbin/management_enforcer.py
|
nghnam/pycasbin
|
90ded85e352026838a69aacd7e5a36e0bb7ac763
|
[
"Apache-2.0"
] | null | null | null |
casbin/management_enforcer.py
|
nghnam/pycasbin
|
90ded85e352026838a69aacd7e5a36e0bb7ac763
|
[
"Apache-2.0"
] | null | null | null |
from casbin.internal_enforcer import InternalEnforcer
class ManagementEnforcer(InternalEnforcer):
"""
ManagementEnforcer = InternalEnforcer + Management API.
"""
def get_all_subjects(self):
"""gets the list of subjects that show up in the current policy."""
return self.get_all_named_subjects('p')
def get_all_named_subjects(self, ptype):
"""gets the list of subjects that show up in the current named policy."""
return self.model.get_values_for_field_in_policy('p', ptype, 0)
def get_all_objects(self):
"""gets the list of objects that show up in the current policy."""
return self.get_all_named_objects('p')
def get_all_named_objects(self, ptype):
"""gets the list of objects that show up in the current named policy."""
return self.model.get_values_for_field_in_policy('p', ptype, 1)
def get_all_actions(self):
"""gets the list of actions that show up in the current policy."""
return self.get_all_named_actions('p')
def get_all_named_actions(self, ptype):
"""gets the list of actions that show up in the current named policy."""
return self.model.get_values_for_field_in_policy('p', ptype, 2)
def get_all_roles(self):
"""gets the list of roles that show up in the current named policy."""
return self.get_all_named_roles('g')
def get_all_named_roles(self, ptype):
"""gets all the authorization rules in the policy."""
return self.model.get_values_for_field_in_policy('g', ptype, 1)
def get_policy(self):
"""gets all the authorization rules in the policy."""
return self.get_named_policy('p')
def get_filtered_policy(self, field_index, *field_values):
"""gets all the authorization rules in the policy, field filters can be specified."""
return self.get_filtered_named_policy('p', field_index, *field_values)
def get_named_policy(self, ptype):
"""gets all the authorization rules in the named policy."""
return self.model.get_policy('p', ptype)
def get_filtered_named_policy(self, ptype, field_index, *field_values):
"""gets all the authorization rules in the named policy, field filters can be specified."""
return self.model.get_filtered_policy('p', ptype, field_index, *field_values)
def get_grouping_policy(self):
"""gets all the role inheritance rules in the policy."""
return self.get_named_grouping_policy('g')
def get_filtered_grouping_policy(self, field_index, *field_values):
"""gets all the role inheritance rules in the policy, field filters can be specified."""
return self.get_filtered_named_grouping_policy("g", field_index, *field_values)
def get_named_grouping_policy(self, ptype):
"""gets all the role inheritance rules in the policy."""
return self.model.get_policy('g', ptype)
def get_filtered_named_grouping_policy(self, ptype, field_index, *field_values):
"""gets all the role inheritance rules in the policy, field filters can be specified."""
return self.model.get_filtered_policy('g', ptype, field_index, *field_values)
def has_policy(self, *params):
"""determines whether an authorization rule exists."""
return self.has_named_policy('p', *params)
def has_named_policy(self, ptype, *params):
"""determines whether a named authorization rule exists."""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
return self.model.has_policy('p', ptype, str_slice)
policy = []
for param in params:
policy.append(param)
return self.model.has_policy('p', ptype, policy)
def add_policy(self, *params):
"""adds an authorization rule to the current policy.
If the rule already exists, the function returns false and the rule will not be added.
Otherwise the function returns true by adding the new rule.
"""
return self.add_named_policy('p', *params)
def add_named_policy(self, ptype, *params):
"""adds an authorization rule to the current named policy.
If the rule already exists, the function returns false and the rule will not be added.
Otherwise the function returns true by adding the new rule.
"""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
rule_added = self._add_policy('p', ptype, str_slice)
else:
policy = []
for param in params:
policy.append(param)
rule_added = self._add_policy('p', ptype, policy)
return rule_added
def remove_policy(self, *params):
"""removes an authorization rule from the current policy."""
return self.remove_named_policy('p', *params)
def remove_filtered_policy(self, field_index, *field_values):
"""removes an authorization rule from the current policy, field filters can be specified."""
return self.remove_filtered_named_policy('p', field_index, *field_values)
def remove_named_policy(self, ptype, *params):
"""removes an authorization rule from the current named policy."""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
rule_removed = self._remove_policy('p', ptype, str_slice)
else:
policy = []
for param in params:
policy.append(param)
rule_removed = self._remove_policy('p', ptype, policy)
return rule_removed
def remove_filtered_named_policy(self, ptype, field_index, *field_values):
"""removes an authorization rule from the current named policy, field filters can be specified."""
return self._remove_filtered_policy('p', ptype, field_index, *field_values)
def has_grouping_policy(self, *params):
"""determines whether a role inheritance rule exists."""
return self.has_named_grouping_policy("g", *params)
def has_named_grouping_policy(self, ptype, *params):
"""determines whether a named role inheritance rule exists."""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
return self.model.has_policy('g', ptype, str_slice)
policy = []
for param in params:
policy.append(param)
return self.model.has_policy('g', ptype, policy)
def add_grouping_policy(self, *params):
"""adds a role inheritance rule to the current policy.
If the rule already exists, the function returns false and the rule will not be added.
Otherwise the function returns true by adding the new rule.
"""
return self.add_named_grouping_policy('p', *params)
def add_named_grouping_policy(self, ptype, *params):
"""adds a named role inheritance rule to the current policy.
If the rule already exists, the function returns false and the rule will not be added.
Otherwise the function returns true by adding the new rule.
"""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
rule_added = self._add_policy('g', ptype, str_slice)
else:
policy = []
for param in params:
policy.append(param)
rule_added = self._add_policy('g', ptype, policy)
if self.auto_build_role_links:
self.build_role_links()
return rule_added
def remove_grouping_policy(self, *params):
"""removes a role inheritance rule from the current policy."""
return self.remove_named_grouping_policy('g', *params)
def remove_filtered_grouping_policy(self, field_index, *field_values):
"""removes a role inheritance rule from the current policy, field filters can be specified."""
return self.remove_filtered_named_grouping_policy('g', field_index, *field_values)
def remove_named_grouping_policy(self, ptype, *params):
"""removes a role inheritance rule from the current named policy."""
if len(params) == 1 and isinstance(params[0], list):
str_slice = params[0]
rule_removed = self._remove_policy('g', ptype, str_slice)
else:
policy = []
for param in params:
policy.append(param)
rule_removed = self._remove_policy('g', ptype, policy)
if self.auto_build_role_links:
self.build_role_links()
return rule_removed
def remove_filtered_named_grouping_policy(self, ptype, field_index, *field_values):
"""removes a role inheritance rule from the current named policy, field filters can be specified."""
rule_removed = self._remove_filtered_policy('g', ptype, field_index, *field_values)
if self.auto_build_role_links:
self.build_role_links()
return rule_removed
def add_function(self, name, func):
"""adds a customized function."""
self.fm.add_function(name, func)
| 39.512931
| 108
| 0.660958
| 1,225
| 9,167
| 4.742041
| 0.075918
| 0.049923
| 0.041315
| 0.057841
| 0.898089
| 0.843863
| 0.786882
| 0.764331
| 0.7089
| 0.639525
| 0
| 0.003181
| 0.245446
| 9,167
| 231
| 109
| 39.683983
| 0.836634
| 0.298571
| 0
| 0.378151
| 0
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| 0.006184
| 0
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| 0
| 0
| 0
| 0
| 1
| 0.277311
| false
| 0
| 0.008403
| 0
| 0.579832
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
4dd04b55b787cf75823993819e034580714e4a66
| 25,738
|
py
|
Python
|
autoencoders/internal.py
|
Loptt/pong-autoencoder
|
c5123bb2466f644f7513d807044e11a4a17aae22
|
[
"MIT"
] | null | null | null |
autoencoders/internal.py
|
Loptt/pong-autoencoder
|
c5123bb2466f644f7513d807044e11a4a17aae22
|
[
"MIT"
] | 1
|
2021-03-19T03:06:46.000Z
|
2021-08-02T13:29:05.000Z
|
autoencoders/internal.py
|
Loptt/pong-autoencoder
|
c5123bb2466f644f7513d807044e11a4a17aae22
|
[
"MIT"
] | null | null | null |
import math
import keras
import numpy as np
import tensorflow as tf
from .perceptual_networks import PerceptualNetwork
from .ball_finder import find_balls, find_balls_tf
class VAEInternal(keras.Model):
def __init__(self, encoder, decoder, beta=1, **kwargs):
super(VAEInternal, self).__init__(**kwargs)
self.encoder = encoder
self.decoder = decoder
self.beta = beta
self.total_loss_tracker = keras.metrics.Mean(name="total_loss")
self.reconstruction_loss_tracker = keras.metrics.Mean(
name="reconstruction_loss"
)
self.kl_loss_tracker = keras.metrics.Mean(name="kl_loss")
def call(self, inputs):
z_mean, z_log_var, z = self.encoder(inputs)
return self.decoder(z)
@property
def metrics(self):
return [
self.total_loss_tracker,
self.reconstruction_loss_tracker,
self.kl_loss_tracker,
]
def train_step(self, data):
if isinstance(data, tuple):
data = data[0]
with tf.GradientTape() as tape:
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(
tf.reduce_sum(
keras.losses.binary_crossentropy(data, reconstruction), axis=(1, 2)
)
)
# Calculate KL loss and total loss
kl_loss = (-0.5 * self.beta) * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss
# Get and propagate gradients
grads = tape.gradient(total_loss, self.trainable_weights)
self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
# Update loss
self.total_loss_tracker.update_state(total_loss)
self.reconstruction_loss_tracker.update_state(reconstruction_loss)
self.kl_loss_tracker.update_state(kl_loss)
return {
"loss": self.total_loss_tracker.result(),
"reconstruction_loss": self.reconstruction_loss_tracker.result(),
"kl_loss": self.kl_loss_tracker.result(),
}
def test_step(self, data):
if isinstance(data, tuple):
data = data[0]
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(
tf.reduce_sum(
keras.losses.binary_crossentropy(data, reconstruction), axis=(1, 2)
)
)
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss
return {
"loss": total_loss,
"reconstruction_loss": reconstruction_loss,
"kl_loss": kl_loss,
}
class VAEInternalPerceptual(VAEInternal):
def __init__(self, encoder, decoder, **kwargs):
super().__init__(encoder, decoder, **kwargs)
self.perceptual_model = PerceptualNetwork(
model="VGG19",
layer_amount=6,
# Ignore batch size (1) and channels (-1) and add three channels at the end
input_shape=tuple(list(encoder.input_shape)[1:-1] + [3])
)
def train_step(self, data):
if isinstance(data, tuple):
data = data[0]
with tf.GradientTape() as tape:
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
rgb_reconstruction = tf.image.grayscale_to_rgb(reconstruction)
rgb_data = tf.image.grayscale_to_rgb(data)
perception_rec = self.perceptual_model.call(
rgb_reconstruction) # shape (batch, 51200)
perception_orig = self.perceptual_model.call(rgb_data)
# Variable already tensor?
# perception_rec = tf.constant(perception_rec)
# perception_orig = tf.constant(perception_orig)
diff = perception_rec - perception_orig
sq_diff = tf.square(diff) # shape (batch, 51200)
mean_sq_diff = tf.reduce_mean(sq_diff, axis=1) # shape (batch)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(mean_sq_diff) # shape 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss
# Get and propagate gradients
grads = tape.gradient(total_loss, self.trainable_weights)
self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
# Update loss
self.total_loss_tracker.update_state(total_loss)
self.reconstruction_loss_tracker.update_state(reconstruction_loss)
self.kl_loss_tracker.update_state(kl_loss)
return {
"loss": self.total_loss_tracker.result(),
"reconstruction_loss": self.reconstruction_loss_tracker.result(),
"kl_loss": self.kl_loss_tracker.result(),
}
def test_step(self, data):
if isinstance(data, tuple):
data = data[0]
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
rgb_reconstruction = tf.image.grayscale_to_rgb(reconstruction)
rgb_data = tf.image.grayscale_to_rgb(data)
perception_rec = self.perceptual_model.call(
rgb_reconstruction) # shape (batch, 51200)
perception_orig = self.perceptual_model.call(rgb_data)
# Variable already tensor?
# perception_rec = tf.constant(perception_rec)
# perception_orig = tf.constant(perception_orig)
diff = perception_rec - perception_orig
sq_diff = tf.square(diff) # shape (batch, 51200)
mean_sq_diff = tf.reduce_mean(sq_diff, axis=1) # shape (batch)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(mean_sq_diff) # shape 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss
return {
"loss": total_loss,
"reconstruction_loss": reconstruction_loss,
"kl_loss": kl_loss,
}
def summary_perceptual(self):
self.perceptual_model.summary()
class VAEBallTrackInternal(keras.Model):
def __init__(self, encoder, decoder, **kwargs):
super(VAEBallTrackInternal, self).__init__(**kwargs)
self.encoder = encoder
self.decoder = decoder
self.diagonal = math.sqrt(
encoder.input_shape[1] ** 2 + encoder.input_shape[2] ** 2)
self.total_loss_tracker = keras.metrics.Mean(name="total_loss")
self.reconstruction_loss_tracker = keras.metrics.Mean(
name="reconstruction_loss"
)
self.kl_loss_tracker = keras.metrics.Mean(name="kl_loss")
self.ball_loss_tracker = keras.metrics.Mean(name="ball_loss")
self.coord_array = self.build_coordinate_array(32, 40, 40)
def call(self, inputs):
z_mean, z_log_var, z = self.encoder(inputs)
return self.decoder(z)
@property
def metrics(self):
return [
self.total_loss_tracker,
self.reconstruction_loss_tracker,
self.kl_loss_tracker,
self.ball_loss_tracker
]
def build_coordinate_array(self, batch_size, screen_width, screen_height):
result = np.zeros((screen_height, screen_width, 2), np.float32)
for x in range(screen_width): # todo: look up numpy mesh to do this faster?
for y in range(screen_height):
result[y, x, 0] = x
result[y, x, 1] = y
# should be shape [batch_size, screen_height, screen_width, 2]
result = np.stack([result]*batch_size, axis=0)
return tf.constant(result)
def calculate_ball_loss(self, original, reconstruction):
original_np = original.numpy()
reconstruction_np = reconstruction.numpy()
batch = len(original_np)
balls_positions_orig = []
balls_positions_rec = []
for dp in original_np:
balls_positions_orig.append(find_balls(dp, 5, 34))
for dp in reconstruction_np:
balls_positions_rec.append(find_balls(dp, 5, 34))
loss = 0.0
for ball_poss_or, ball_poss_rec in zip(balls_positions_orig, balls_positions_rec):
# In the case where no ball is present in the original, we penalize with the
# maximum loss, which is the diagnoal of the screen for each ball in the reconstuction.
if len(ball_poss_or) < 1:
loss += self.diagonal * len(ball_poss_rec)
# If there is no ball in the reconstruction, but there is a ball in the original,
# apply a diagonal loss times a factor
elif len(ball_poss_rec) < 1:
loss += self.diagonal * 4
else:
# The original only has one ball, so we retrieve that ball
ball_orig = ball_poss_or[0]
# We now calculate the euclidean distance of each ball to the original ball and sum
# them to calculate the final loss
loss += sum([math.sqrt((pos[0] - ball_orig[0]) ** 2 +
(pos[1] - ball_orig[1]) ** 2) for pos in ball_poss_rec])
return loss / batch
def calculate_ball_loss_slow(self, ball_locations, reconstruction):
# on entry, ball locations is shape [batch, 2] example, [[original_image1_ballx,original_image1_bally],[original_image2_ballx,original_image2_bally],...]
# reconstraction shape [batch, screen_height, screen_width,1]???
batch_size = ball_locations.shape[0]
screen_width = reconstruction.shape[2]
screen_height = reconstruction.shape[1]
score = 0
for b in range(batch_size):
ball_x = ball_locations[b, 0]
ball_y = ball_locations[b, 1]
reconstucted_image = reconstruction[b, :, :, 0]
reconstucted_image_brightness = tf.reduce_sum(
reconstucted_image*reconstucted_image)+1e-6
normalised_brightness_image = reconstucted_image/reconstucted_image_brightness
for x in range(screen_width):
for y in range(screen_height):
score += normalised_brightness_image[x,
y]*tf.sqrt((x-ball_x)**2+(y-ball_y)**2)
return score
@tf.function
def calculate_ball_loss_fast(self, ball_locations, reconstruction):
# on entry, ball locations is shape [batch, 2] example, [[original_image1_ballx,original_image1_bally],[original_image2_ballx,original_image2_bally],...]
# reconstraction shape [batch, screen_height, screen_width,1]???
batch_size = ball_locations.shape[0]
screen_width = reconstruction.shape[2]
screen_height = reconstruction.shape[1]
score = tf.zeros([batch_size], tf.float32)
ball_x = tf.cast(ball_locations[:, 0], tf.float32)
ball_y = tf.cast(ball_locations[:, 1], tf.float32)
reconstucted_image = reconstruction[:, :, :, 0]
# should leave us with a vector of shape [batch_size]
reconstucted_image_brightness = tf.reduce_sum(
reconstucted_image, axis=[1, 2])+1e-6
normalised_brightness_image = reconstucted_image / \
tf.reshape(reconstucted_image_brightness, [batch_size, 1, 1])
for x in range(5, 34):
for y in range(screen_height):
score += normalised_brightness_image[:, y,
x]*tf.sqrt((x-ball_x)**2+(y-ball_y)**2)
return tf.reduce_mean(score)
# @tf.function
def calculate_ball_loss_fast2(self, ball_locations, reconstruction, coordinate_array):
# on entry, ball locations is shape [batch, 2] example, [[original_image1_ballx,original_image1_bally],[original_image2_ballx,original_image2_bally],...]
# reconstraction shape [batch, screen_height, screen_width,1]???
# coordinate_array is shape [batch_size, screen_height, screen_width, 2]
coordinate_array_temp = coordinate_array
batch_size = ball_locations.shape[0]
screen_width = reconstruction.shape[2]
screen_height = reconstruction.shape[1]
try:
assert coordinate_array.shape[0] == batch_size
except AssertionError:
# print(
# f"Batch Size {batch_size}, Coord array batch {coordinate_array.shape[0]}")
coordinate_array_temp = coordinate_array[:batch_size]
assert coordinate_array_temp.shape[1] == screen_height
assert coordinate_array_temp.shape[2] == screen_width
ball_locations_r = tf.reshape(ball_locations, [batch_size, 1, 1, 2])
relative_locations = coordinate_array_temp - \
tf.cast(ball_locations_r, tf.float32)
relative_locations_squared = tf.square(relative_locations)
# will work out x*x+y*y. Output shape should be [batch_size, screen_height, screen_widht)
temp = tf.reduce_sum(relative_locations_squared, axis=3)
# Output shape should be [batch_size, screen_height, screen_widht)
pythagorean_distances = tf.sqrt(temp)
# shape should be [batch_size, screen_height, screen_width)
reconstructed_image = reconstruction[:, :, :, 0]
# should leave us with a vector of shape [batch_size]
'''
reconstucted_image_brightness = tf.reduce_sum(
reconstucted_image, axis=[1, 2])+1e-6
normalised_brightness_image = reconstucted_image / \
tf.reshape(reconstucted_image_brightness, [batch_size, 1, 1])
'''
# slice off paddles:
#reconstructed_image = reconstructed_image[:, :, 5:34]
#pythagorean_distances = pythagorean_distances[:, :, 5:34]
# # this will slightly brighten every pixel. It will ensure
# a) we can't get a division by zero when normalising the brigtness.
# b) That the neural network cannot learn to cheat by setting the brigthness of every pixel to zero.
brightened_reconstructed_image = reconstructed_image+1e-6
reconstucted_image_brightness = tf.reduce_sum(
brightened_reconstructed_image, axis=[1, 2])
normalised_brightness_image = brightened_reconstructed_image / \
tf.reshape(reconstucted_image_brightness, [batch_size, 1, 1])
# shape should be [batch_size, screen_height, screen_width)
score = normalised_brightness_image*pythagorean_distances
# shape should be [batch_size)
score = tf.reduce_sum(score, axis=[1, 2])
result = tf.reduce_mean(score)
# old_result = self.calculate_ball_loss_fast(
# ball_locations, reconstruction)
#print("Checking: ", result, old_result)
#assert abs(result-old_result) < 1e-5
return result
def train_step(self, data):
if isinstance(data, tuple):
data = data[0]
data_np = data.numpy()
ball_locations = []
for d in data_np:
loc = find_balls(d, 5, 34)
if len(loc) < 1:
loc = [0, 0]
else:
loc = loc[0]
ball_locations.append(loc)
ball_locations = np.array(ball_locations)
with tf.GradientTape() as tape:
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(
tf.reduce_sum(
keras.losses.binary_crossentropy(data, reconstruction), axis=(1, 2)
)
)
ball_loss = self.calculate_ball_loss_fast2(
ball_locations, reconstruction, self.coord_array) * 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss + ball_loss
# Get and propagate gradients
grads = tape.gradient(total_loss, self.trainable_weights)
self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
# Update loss
self.total_loss_tracker.update_state(total_loss)
self.reconstruction_loss_tracker.update_state(reconstruction_loss)
self.kl_loss_tracker.update_state(kl_loss)
self.ball_loss_tracker.update_state(ball_loss)
return {
"loss": self.total_loss_tracker.result(),
"reconstruction_loss": self.reconstruction_loss_tracker.result(),
"kl_loss": self.kl_loss_tracker.result(),
"ball_loss": self.ball_loss_tracker.result(),
}
def test_step(self, data):
if isinstance(data, tuple):
data = data[0]
data_np = data.numpy()
ball_locations = []
for d in data_np:
loc = find_balls(d, 5, 34)
if len(loc) < 1:
loc = [0, 0]
else:
loc = loc[0]
ball_locations.append(loc)
ball_locations = np.array(ball_locations)
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
# Calculate reconstruction loss
reconstruction_loss = tf.reduce_mean(
tf.reduce_sum(
keras.losses.binary_crossentropy(data, reconstruction), axis=(1, 2)
)
)
ball_loss = self.calculate_ball_loss_fast2(
ball_locations, reconstruction, self.coord_array) * 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = reconstruction_loss + kl_loss + ball_loss
return {
"loss": total_loss,
"reconstruction_loss": reconstruction_loss,
"kl_loss": kl_loss,
"ball_loss": ball_loss,
}
class VAEBallTrackNoPaddleInternal(keras.Model):
def __init__(self, encoder, decoder, **kwargs):
super(VAEBallTrackNoPaddleInternal, self).__init__(**kwargs)
self.encoder = encoder
self.decoder = decoder
self.diagonal = math.sqrt(
encoder.input_shape[1] ** 2 + encoder.input_shape[2] ** 2)
self.total_loss_tracker = keras.metrics.Mean(name="total_loss")
self.kl_loss_tracker = keras.metrics.Mean(name="kl_loss")
self.ball_loss_tracker = keras.metrics.Mean(name="ball_loss")
self.encoder_shape = encoder.input_shape
def call(self, inputs):
z_mean, z_log_var, z = self.encoder(inputs)
return self.decoder(z)
def setup_coordinate_array(self, batch):
self.coord_array = self.build_coordinate_array(
batch, self.encoder_shape[2], self.encoder_shape[1])
@property
def metrics(self):
return [
self.total_loss_tracker,
self.kl_loss_tracker,
self.ball_loss_tracker
]
def build_coordinate_array(self, batch_size, screen_width, screen_height):
result = np.zeros((screen_height, screen_width, 2), np.float32)
for x in range(screen_width): # todo: look up numpy mesh to do this faster?
for y in range(screen_height):
result[y, x, 0] = x
result[y, x, 1] = y
# should be shape [batch_size, screen_height, screen_width, 2]
result = np.stack([result]*batch_size, axis=0)
return tf.constant(result)
# @tf.function
def calculate_ball_loss_fast2(self, ball_locations, reconstruction, coordinate_array):
# on entry, ball locations is shape [batch, 2] example, [[original_image1_ballx,original_image1_bally],[original_image2_ballx,original_image2_bally],...]
# reconstraction shape [batch, screen_height, screen_width,1]???
# coordinate_array is shape [batch_size, screen_height, screen_width, 2]
coordinate_array_temp = coordinate_array
batch_size = ball_locations.shape[0]
screen_width = reconstruction.shape[2]
screen_height = reconstruction.shape[1]
try:
assert coordinate_array.shape[0] == batch_size
except AssertionError:
# print(
# f"Batch Size {batch_size}, Coord array batch {coordinate_array.shape[0]}")
coordinate_array_temp = coordinate_array[:batch_size]
assert coordinate_array_temp.shape[1] == screen_height
assert coordinate_array_temp.shape[2] == screen_width
ball_locations_r = tf.reshape(ball_locations, [batch_size, 1, 1, 2])
relative_locations = coordinate_array_temp - \
tf.cast(ball_locations_r, tf.float32)
relative_locations_squared = tf.square(relative_locations)
# will work out x*x+y*y. Output shape should be [batch_size, screen_height, screen_widht)
temp = tf.reduce_sum(relative_locations_squared, axis=3)
# Output shape should be [batch_size, screen_height, screen_widht)
pythagorean_distances = tf.sqrt(temp)
# shape should be [batch_size, screen_height, screen_width)
reconstructed_image = reconstruction[:, :, :, 0]
# should leave us with a vector of shape [batch_size]
'''
reconstucted_image_brightness = tf.reduce_sum(
reconstucted_image, axis=[1, 2])+1e-6
normalised_brightness_image = reconstucted_image / \
tf.reshape(reconstucted_image_brightness, [batch_size, 1, 1])
'''
# slice off paddles:
#reconstructed_image = reconstructed_image[:, :, 5:34]
#pythagorean_distances = pythagorean_distances[:, :, 5:34]
# # this will slightly brighten every pixel. It will ensure
# a) we can't get a division by zero when normalising the brigtness.
# b) That the neural network cannot learn to cheat by setting the brigthness of every pixel to zero.
brightened_reconstructed_image = reconstructed_image+1e-6
reconstucted_image_brightness = tf.reduce_sum(
brightened_reconstructed_image, axis=[1, 2])
normalised_brightness_image = brightened_reconstructed_image / \
tf.reshape(reconstucted_image_brightness, [batch_size, 1, 1])
# shape should be [batch_size, screen_height, screen_width)
score = normalised_brightness_image*pythagorean_distances
# shape should be [batch_size)
score = tf.reduce_sum(score, axis=[1, 2])
result = tf.reduce_mean(score)
# old_result = self.calculate_ball_loss_fast(
# ball_locations, reconstruction)
#print("Checking: ", result, old_result)
#assert abs(result-old_result) < 1e-5
return result
def train_step(self, data):
if isinstance(data, tuple):
data = data[0]
data_np = data.numpy()
ball_locations = find_balls_tf(data)
with tf.GradientTape() as tape:
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
ball_loss = self.calculate_ball_loss_fast2(
ball_locations, reconstruction, self.coord_array) * 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = kl_loss + ball_loss
# Get and propagate gradients
grads = tape.gradient(total_loss, self.trainable_weights)
self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
# Update loss
self.total_loss_tracker.update_state(total_loss)
self.kl_loss_tracker.update_state(kl_loss)
self.ball_loss_tracker.update_state(ball_loss)
return {
"loss": self.total_loss_tracker.result(),
"kl_loss": self.kl_loss_tracker.result(),
"ball_loss": self.ball_loss_tracker.result(),
}
def test_step(self, data):
if isinstance(data, tuple):
data = data[0]
data_np = data.numpy()
ball_locations = find_balls_tf(data)
z_mean, z_log_var, z = self.encoder(data)
reconstruction = self.decoder(z)
ball_loss = self.calculate_ball_loss_fast2(
ball_locations, reconstruction, self.coord_array) * 1
# Calculate KL loss and total loss
kl_loss = -0.5 * (1 + z_log_var -
tf.square(z_mean) - tf.exp(z_log_var))
kl_loss = tf.reduce_mean(tf.reduce_sum(kl_loss, axis=1))
total_loss = kl_loss + ball_loss
return {
"loss": total_loss,
"kl_loss": kl_loss,
"ball_loss": ball_loss,
}
| 40.027994
| 162
| 0.625301
| 3,141
| 25,738
| 4.848138
| 0.081503
| 0.028763
| 0.012411
| 0.018387
| 0.887641
| 0.885146
| 0.876478
| 0.861505
| 0.857893
| 0.847715
| 0
| 0.015435
| 0.282578
| 25,738
| 642
| 163
| 40.090343
| 0.809261
| 0.181405
| 0
| 0.779097
| 0
| 0
| 0.017107
| 0
| 0
| 0
| 0
| 0.003115
| 0.019002
| 1
| 0.064133
| false
| 0
| 0.014252
| 0.007126
| 0.137767
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 7
|
4dd8980bde4d440212224c4fb0f9a11bf95ba4ff
| 57,982
|
py
|
Python
|
pdfminer3/fontmetrics.py
|
herrnici/pdfminer3
|
0442ea2fd5f15a5ca6f79f21df9369be99be3eb2
|
[
"MIT"
] | 44
|
2018-12-16T19:51:33.000Z
|
2022-02-07T21:36:28.000Z
|
pdfminer3/fontmetrics.py
|
herrnici/pdfminer3
|
0442ea2fd5f15a5ca6f79f21df9369be99be3eb2
|
[
"MIT"
] | 7
|
2018-12-16T19:56:45.000Z
|
2021-08-12T14:29:28.000Z
|
pdfminer3/fontmetrics.py
|
herrnici/pdfminer3
|
0442ea2fd5f15a5ca6f79f21df9369be99be3eb2
|
[
"MIT"
] | 12
|
2019-02-21T06:30:14.000Z
|
2021-04-23T07:50:35.000Z
|
""" Font metrics for the Adobe core 14 fonts.
Font metrics are used to compute the boundary of each character
written with a proportional font.
The following data were extracted from the AFM files:
http://www.ctan.org/tex-archive/fonts/adobe/afm/
"""
### BEGIN Verbatim copy of the license part
#
# Adobe Core 35 AFM Files with 314 Glyph Entries - ReadMe
#
# This file and the 35 PostScript(R) AFM files it accompanies may be
# used, copied, and distributed for any purpose and without charge,
# with or without modification, provided that all copyright notices
# are retained; that the AFM files are not distributed without this
# file; that all modifications to this file or any of the AFM files
# are prominently noted in the modified file(s); and that this
# paragraph is not modified. Adobe Systems has no responsibility or
# obligation to support the use of the AFM files.
#
### END Verbatim copy of the license part
FONT_METRICS = {
'Courier': ({'FontName': 'Courier', 'Descent': -194.0, 'FontBBox': (-6.0, -249.0, 639.0, 803.0), 'FontWeight': 'Medium', 'CapHeight': 572.0, 'FontFamily': 'Courier', 'Flags': 64, 'XHeight': 434.0, 'ItalicAngle': 0.0, 'Ascent': 627.0}, {' ': 600, '!': 600, '"': 600, '#': 600, '$': 600, '%': 600, '&': 600, u"'": 600, '(': 600, ')': 600, '*': 600, '+': 600, ',': 600, '-': 600, '.': 600, '/': 600, '0': 600, '1': 600, '2': 600, '3': 600, '4': 600, '5': 600, '6': 600, '7': 600, '8': 600, '9': 600, ':': 600, ';': 600, '<': 600, '=': 600, '>': 600, '?': 600, '@': 600, 'A': 600, 'B': 600, 'C': 600, 'D': 600, 'E': 600, 'F': 600, 'G': 600, 'H': 600, 'I': 600, 'J': 600, 'K': 600, 'L': 600, 'M': 600, 'N': 600, 'O': 600, 'P': 600, 'Q': 600, 'R': 600, 'S': 600, 'T': 600, 'U': 600, 'V': 600, 'W': 600, 'X': 600, 'Y': 600, 'Z': 600, '[': 600, '\\': 600, ']': 600, '^': 600, '_': 600, '`': 600, 'a': 600, 'b': 600, 'c': 600, 'd': 600, 'e': 600, 'f': 600, 'g': 600, 'h': 600, 'i': 600, 'j': 600, 'k': 600, 'l': 600, 'm': 600, 'n': 600, 'o': 600, 'p': 600, 'q': 600, 'r': 600, 's': 600, 't': 600, 'u': 600, 'v': 600, 'w': 600, 'x': 600, 'y': 600, 'z': 600, '{': 600, '|': 600, '}': 600, '~': 600, '\xa1': 600, '\xa2': 600, '\xa3': 600, '\xa4': 600, '\xa5': 600, '\xa6': 600, '\xa7': 600, '\xa8': 600, '\xa9': 600, '\xaa': 600, '\xab': 600, '\xac': 600, '\xae': 600, '\xaf': 600, '\xb0': 600, '\xb1': 600, '\xb2': 600, '\xb3': 600, '\xb4': 600, '\xb5': 600, '\xb6': 600, '\xb7': 600, '\xb8': 600, '\xb9': 600, '\xba': 600, '\xbb': 600, '\xbc': 600, '\xbd': 600, '\xbe': 600, '\xbf': 600, '\xc0': 600, '\xc1': 600, '\xc2': 600, '\xc3': 600, '\xc4': 600, '\xc5': 600, '\xc6': 600, '\xc7': 600, '\xc8': 600, '\xc9': 600, '\xca': 600, '\xcb': 600, '\xcc': 600, '\xcd': 600, '\xce': 600, '\xcf': 600, '\xd0': 600, '\xd1': 600, '\xd2': 600, '\xd3': 600, '\xd4': 600, '\xd5': 600, '\xd6': 600, '\xd7': 600, '\xd8': 600, '\xd9': 600, '\xda': 600, '\xdb': 600, '\xdc': 600, '\xdd': 600, '\xde': 600, '\xdf': 600, '\xe0': 600, '\xe1': 600, '\xe2': 600, '\xe3': 600, '\xe4': 600, '\xe5': 600, '\xe6': 600, '\xe7': 600, '\xe8': 600, '\xe9': 600, '\xea': 600, '\xeb': 600, '\xec': 600, '\xed': 600, '\xee': 600, '\xef': 600, '\xf0': 600, '\xf1': 600, '\xf2': 600, '\xf3': 600, '\xf4': 600, '\xf5': 600, '\xf6': 600, '\xf7': 600, '\xf8': 600, '\xf9': 600, '\xfa': 600, '\xfb': 600, '\xfc': 600, '\xfd': 600, '\xfe': 600, '\xff': 600, '\u0100': 600, '\u0101': 600, '\u0102': 600, '\u0103': 600, '\u0104': 600, '\u0105': 600, '\u0106': 600, '\u0107': 600, '\u010c': 600, '\u010d': 600, '\u010e': 600, '\u010f': 600, '\u0110': 600, '\u0111': 600, '\u0112': 600, '\u0113': 600, '\u0116': 600, '\u0117': 600, '\u0118': 600, '\u0119': 600, '\u011a': 600, '\u011b': 600, '\u011e': 600, '\u011f': 600, '\u0122': 600, '\u0123': 600, '\u012a': 600, '\u012b': 600, '\u012e': 600, '\u012f': 600, '\u0130': 600, '\u0131': 600, '\u0136': 600, '\u0137': 600, '\u0139': 600, '\u013a': 600, '\u013b': 600, '\u013c': 600, '\u013d': 600, '\u013e': 600, '\u0141': 600, '\u0142': 600, '\u0143': 600, '\u0144': 600, '\u0145': 600, '\u0146': 600, '\u0147': 600, '\u0148': 600, '\u014c': 600, '\u014d': 600, '\u0150': 600, '\u0151': 600, '\u0152': 600, '\u0153': 600, '\u0154': 600, '\u0155': 600, '\u0156': 600, '\u0157': 600, '\u0158': 600, '\u0159': 600, '\u015a': 600, '\u015b': 600, '\u015e': 600, '\u015f': 600, '\u0160': 600, '\u0161': 600, '\u0162': 600, '\u0163': 600, '\u0164': 600, '\u0165': 600, '\u016a': 600, '\u016b': 600, '\u016e': 600, '\u016f': 600, '\u0170': 600, '\u0171': 600, '\u0172': 600, '\u0173': 600, '\u0178': 600, '\u0179': 600, '\u017a': 600, '\u017b': 600, '\u017c': 600, '\u017d': 600, '\u017e': 600, '\u0192': 600, '\u0218': 600, '\u0219': 600, '\u02c6': 600, '\u02c7': 600, '\u02d8': 600, '\u02d9': 600, '\u02da': 600, '\u02db': 600, '\u02dc': 600, '\u02dd': 600, '\u2013': 600, '\u2014': 600, '\u2018': 600, '\u2019': 600, '\u201a': 600, '\u201c': 600, '\u201d': 600, '\u201e': 600, '\u2020': 600, '\u2021': 600, '\u2022': 600, '\u2026': 600, '\u2030': 600, '\u2039': 600, '\u203a': 600, '\u2044': 600, '\u2122': 600, '\u2202': 600, '\u2206': 600, '\u2211': 600, '\u2212': 600, '\u221a': 600, '\u2260': 600, '\u2264': 600, '\u2265': 600, '\u25ca': 600, '\uf6c3': 600, '\ufb01': 600, '\ufb02': 600}),
'Courier-Bold': ({'FontName': 'Courier-Bold', 'Descent': -194.0, 'FontBBox': (-88.0, -249.0, 697.0, 811.0), 'FontWeight': 'Bold', 'CapHeight': 572.0, 'FontFamily': 'Courier', 'Flags': 64, 'XHeight': 434.0, 'ItalicAngle': 0.0, 'Ascent': 627.0}, {' ': 600, '!': 600, '"': 600, '#': 600, '$': 600, '%': 600, '&': 600, u"'": 600, '(': 600, ')': 600, '*': 600, '+': 600, ',': 600, '-': 600, '.': 600, '/': 600, '0': 600, '1': 600, '2': 600, '3': 600, '4': 600, '5': 600, '6': 600, '7': 600, '8': 600, '9': 600, ':': 600, ';': 600, '<': 600, '=': 600, '>': 600, '?': 600, '@': 600, 'A': 600, 'B': 600, 'C': 600, 'D': 600, 'E': 600, 'F': 600, 'G': 600, 'H': 600, 'I': 600, 'J': 600, 'K': 600, 'L': 600, 'M': 600, 'N': 600, 'O': 600, 'P': 600, 'Q': 600, 'R': 600, 'S': 600, 'T': 600, 'U': 600, 'V': 600, 'W': 600, 'X': 600, 'Y': 600, 'Z': 600, '[': 600, '\\': 600, ']': 600, '^': 600, '_': 600, '`': 600, 'a': 600, 'b': 600, 'c': 600, 'd': 600, 'e': 600, 'f': 600, 'g': 600, 'h': 600, 'i': 600, 'j': 600, 'k': 600, 'l': 600, 'm': 600, 'n': 600, 'o': 600, 'p': 600, 'q': 600, 'r': 600, 's': 600, 't': 600, 'u': 600, 'v': 600, 'w': 600, 'x': 600, 'y': 600, 'z': 600, '{': 600, '|': 600, '}': 600, '~': 600, '\xa1': 600, '\xa2': 600, '\xa3': 600, '\xa4': 600, '\xa5': 600, '\xa6': 600, '\xa7': 600, '\xa8': 600, '\xa9': 600, '\xaa': 600, '\xab': 600, '\xac': 600, '\xae': 600, '\xaf': 600, '\xb0': 600, '\xb1': 600, '\xb2': 600, '\xb3': 600, '\xb4': 600, '\xb5': 600, '\xb6': 600, '\xb7': 600, '\xb8': 600, '\xb9': 600, '\xba': 600, '\xbb': 600, '\xbc': 600, '\xbd': 600, '\xbe': 600, '\xbf': 600, '\xc0': 600, '\xc1': 600, '\xc2': 600, '\xc3': 600, '\xc4': 600, '\xc5': 600, '\xc6': 600, '\xc7': 600, '\xc8': 600, '\xc9': 600, '\xca': 600, '\xcb': 600, '\xcc': 600, '\xcd': 600, '\xce': 600, '\xcf': 600, '\xd0': 600, '\xd1': 600, '\xd2': 600, '\xd3': 600, '\xd4': 600, '\xd5': 600, '\xd6': 600, '\xd7': 600, '\xd8': 600, '\xd9': 600, '\xda': 600, '\xdb': 600, '\xdc': 600, '\xdd': 600, '\xde': 600, '\xdf': 600, '\xe0': 600, '\xe1': 600, '\xe2': 600, '\xe3': 600, '\xe4': 600, '\xe5': 600, '\xe6': 600, '\xe7': 600, '\xe8': 600, '\xe9': 600, '\xea': 600, '\xeb': 600, '\xec': 600, '\xed': 600, '\xee': 600, '\xef': 600, '\xf0': 600, '\xf1': 600, '\xf2': 600, '\xf3': 600, '\xf4': 600, '\xf5': 600, '\xf6': 600, '\xf7': 600, '\xf8': 600, '\xf9': 600, '\xfa': 600, '\xfb': 600, '\xfc': 600, '\xfd': 600, '\xfe': 600, '\xff': 600, '\u0100': 600, '\u0101': 600, '\u0102': 600, '\u0103': 600, '\u0104': 600, '\u0105': 600, '\u0106': 600, '\u0107': 600, '\u010c': 600, '\u010d': 600, '\u010e': 600, '\u010f': 600, '\u0110': 600, '\u0111': 600, '\u0112': 600, '\u0113': 600, '\u0116': 600, '\u0117': 600, '\u0118': 600, '\u0119': 600, '\u011a': 600, '\u011b': 600, '\u011e': 600, '\u011f': 600, '\u0122': 600, '\u0123': 600, '\u012a': 600, '\u012b': 600, '\u012e': 600, '\u012f': 600, '\u0130': 600, '\u0131': 600, '\u0136': 600, '\u0137': 600, '\u0139': 600, '\u013a': 600, '\u013b': 600, '\u013c': 600, '\u013d': 600, '\u013e': 600, '\u0141': 600, '\u0142': 600, '\u0143': 600, '\u0144': 600, '\u0145': 600, '\u0146': 600, '\u0147': 600, '\u0148': 600, '\u014c': 600, '\u014d': 600, '\u0150': 600, '\u0151': 600, '\u0152': 600, '\u0153': 600, '\u0154': 600, '\u0155': 600, '\u0156': 600, '\u0157': 600, '\u0158': 600, '\u0159': 600, '\u015a': 600, '\u015b': 600, '\u015e': 600, '\u015f': 600, '\u0160': 600, '\u0161': 600, '\u0162': 600, '\u0163': 600, '\u0164': 600, '\u0165': 600, '\u016a': 600, '\u016b': 600, '\u016e': 600, '\u016f': 600, '\u0170': 600, '\u0171': 600, '\u0172': 600, '\u0173': 600, '\u0178': 600, '\u0179': 600, '\u017a': 600, '\u017b': 600, '\u017c': 600, '\u017d': 600, '\u017e': 600, '\u0192': 600, '\u0218': 600, '\u0219': 600, '\u02c6': 600, '\u02c7': 600, '\u02d8': 600, '\u02d9': 600, '\u02da': 600, '\u02db': 600, '\u02dc': 600, '\u02dd': 600, '\u2013': 600, '\u2014': 600, '\u2018': 600, '\u2019': 600, '\u201a': 600, '\u201c': 600, '\u201d': 600, '\u201e': 600, '\u2020': 600, '\u2021': 600, '\u2022': 600, '\u2026': 600, '\u2030': 600, '\u2039': 600, '\u203a': 600, '\u2044': 600, '\u2122': 600, '\u2202': 600, '\u2206': 600, '\u2211': 600, '\u2212': 600, '\u221a': 600, '\u2260': 600, '\u2264': 600, '\u2265': 600, '\u25ca': 600, '\uf6c3': 600, '\ufb01': 600, '\ufb02': 600}),
'Courier-BoldOblique': ({'FontName': 'Courier-BoldOblique', 'Descent': -194.0, 'FontBBox': (-49.0, -249.0, 758.0, 811.0), 'FontWeight': 'Bold', 'CapHeight': 572.0, 'FontFamily': 'Courier', 'Flags': 64, 'XHeight': 434.0, 'ItalicAngle': -11.0, 'Ascent': 627.0}, {' ': 600, '!': 600, '"': 600, '#': 600, '$': 600, '%': 600, '&': 600, u"'": 600, '(': 600, ')': 600, '*': 600, '+': 600, ',': 600, '-': 600, '.': 600, '/': 600, '0': 600, '1': 600, '2': 600, '3': 600, '4': 600, '5': 600, '6': 600, '7': 600, '8': 600, '9': 600, ':': 600, ';': 600, '<': 600, '=': 600, '>': 600, '?': 600, '@': 600, 'A': 600, 'B': 600, 'C': 600, 'D': 600, 'E': 600, 'F': 600, 'G': 600, 'H': 600, 'I': 600, 'J': 600, 'K': 600, 'L': 600, 'M': 600, 'N': 600, 'O': 600, 'P': 600, 'Q': 600, 'R': 600, 'S': 600, 'T': 600, 'U': 600, 'V': 600, 'W': 600, 'X': 600, 'Y': 600, 'Z': 600, '[': 600, '\\': 600, ']': 600, '^': 600, '_': 600, '`': 600, 'a': 600, 'b': 600, 'c': 600, 'd': 600, 'e': 600, 'f': 600, 'g': 600, 'h': 600, 'i': 600, 'j': 600, 'k': 600, 'l': 600, 'm': 600, 'n': 600, 'o': 600, 'p': 600, 'q': 600, 'r': 600, 's': 600, 't': 600, 'u': 600, 'v': 600, 'w': 600, 'x': 600, 'y': 600, 'z': 600, '{': 600, '|': 600, '}': 600, '~': 600, '\xa1': 600, '\xa2': 600, '\xa3': 600, '\xa4': 600, '\xa5': 600, '\xa6': 600, '\xa7': 600, '\xa8': 600, '\xa9': 600, '\xaa': 600, '\xab': 600, '\xac': 600, '\xae': 600, '\xaf': 600, '\xb0': 600, '\xb1': 600, '\xb2': 600, '\xb3': 600, '\xb4': 600, '\xb5': 600, '\xb6': 600, '\xb7': 600, '\xb8': 600, '\xb9': 600, '\xba': 600, '\xbb': 600, '\xbc': 600, '\xbd': 600, '\xbe': 600, '\xbf': 600, '\xc0': 600, '\xc1': 600, '\xc2': 600, '\xc3': 600, '\xc4': 600, '\xc5': 600, '\xc6': 600, '\xc7': 600, '\xc8': 600, '\xc9': 600, '\xca': 600, '\xcb': 600, '\xcc': 600, '\xcd': 600, '\xce': 600, '\xcf': 600, '\xd0': 600, '\xd1': 600, '\xd2': 600, '\xd3': 600, '\xd4': 600, '\xd5': 600, '\xd6': 600, '\xd7': 600, '\xd8': 600, '\xd9': 600, '\xda': 600, '\xdb': 600, '\xdc': 600, '\xdd': 600, '\xde': 600, '\xdf': 600, '\xe0': 600, '\xe1': 600, '\xe2': 600, '\xe3': 600, '\xe4': 600, '\xe5': 600, '\xe6': 600, '\xe7': 600, '\xe8': 600, '\xe9': 600, '\xea': 600, '\xeb': 600, '\xec': 600, '\xed': 600, '\xee': 600, '\xef': 600, '\xf0': 600, '\xf1': 600, '\xf2': 600, '\xf3': 600, '\xf4': 600, '\xf5': 600, '\xf6': 600, '\xf7': 600, '\xf8': 600, '\xf9': 600, '\xfa': 600, '\xfb': 600, '\xfc': 600, '\xfd': 600, '\xfe': 600, '\xff': 600, '\u0100': 600, '\u0101': 600, '\u0102': 600, '\u0103': 600, '\u0104': 600, '\u0105': 600, '\u0106': 600, '\u0107': 600, '\u010c': 600, '\u010d': 600, '\u010e': 600, '\u010f': 600, '\u0110': 600, '\u0111': 600, '\u0112': 600, '\u0113': 600, '\u0116': 600, '\u0117': 600, '\u0118': 600, '\u0119': 600, '\u011a': 600, '\u011b': 600, '\u011e': 600, '\u011f': 600, '\u0122': 600, '\u0123': 600, '\u012a': 600, '\u012b': 600, '\u012e': 600, '\u012f': 600, '\u0130': 600, '\u0131': 600, '\u0136': 600, '\u0137': 600, '\u0139': 600, '\u013a': 600, '\u013b': 600, '\u013c': 600, '\u013d': 600, '\u013e': 600, '\u0141': 600, '\u0142': 600, '\u0143': 600, '\u0144': 600, '\u0145': 600, '\u0146': 600, '\u0147': 600, '\u0148': 600, '\u014c': 600, '\u014d': 600, '\u0150': 600, '\u0151': 600, '\u0152': 600, '\u0153': 600, '\u0154': 600, '\u0155': 600, '\u0156': 600, '\u0157': 600, '\u0158': 600, '\u0159': 600, '\u015a': 600, '\u015b': 600, '\u015e': 600, '\u015f': 600, '\u0160': 600, '\u0161': 600, '\u0162': 600, '\u0163': 600, '\u0164': 600, '\u0165': 600, '\u016a': 600, '\u016b': 600, '\u016e': 600, '\u016f': 600, '\u0170': 600, '\u0171': 600, '\u0172': 600, '\u0173': 600, '\u0178': 600, '\u0179': 600, '\u017a': 600, '\u017b': 600, '\u017c': 600, '\u017d': 600, '\u017e': 600, '\u0192': 600, '\u0218': 600, '\u0219': 600, '\u02c6': 600, '\u02c7': 600, '\u02d8': 600, '\u02d9': 600, '\u02da': 600, '\u02db': 600, '\u02dc': 600, '\u02dd': 600, '\u2013': 600, '\u2014': 600, '\u2018': 600, '\u2019': 600, '\u201a': 600, '\u201c': 600, '\u201d': 600, '\u201e': 600, '\u2020': 600, '\u2021': 600, '\u2022': 600, '\u2026': 600, '\u2030': 600, '\u2039': 600, '\u203a': 600, '\u2044': 600, '\u2122': 600, '\u2202': 600, '\u2206': 600, '\u2211': 600, '\u2212': 600, '\u221a': 600, '\u2260': 600, '\u2264': 600, '\u2265': 600, '\u25ca': 600, '\uf6c3': 600, '\ufb01': 600, '\ufb02': 600}),
'Courier-Oblique': ({'FontName': 'Courier-Oblique', 'Descent': -194.0, 'FontBBox': (-49.0, -249.0, 749.0, 803.0), 'FontWeight': 'Medium', 'CapHeight': 572.0, 'FontFamily': 'Courier', 'Flags': 64, 'XHeight': 434.0, 'ItalicAngle': -11.0, 'Ascent': 627.0}, {' ': 600, '!': 600, '"': 600, '#': 600, '$': 600, '%': 600, '&': 600, u"'": 600, '(': 600, ')': 600, '*': 600, '+': 600, ',': 600, '-': 600, '.': 600, '/': 600, '0': 600, '1': 600, '2': 600, '3': 600, '4': 600, '5': 600, '6': 600, '7': 600, '8': 600, '9': 600, ':': 600, ';': 600, '<': 600, '=': 600, '>': 600, '?': 600, '@': 600, 'A': 600, 'B': 600, 'C': 600, 'D': 600, 'E': 600, 'F': 600, 'G': 600, 'H': 600, 'I': 600, 'J': 600, 'K': 600, 'L': 600, 'M': 600, 'N': 600, 'O': 600, 'P': 600, 'Q': 600, 'R': 600, 'S': 600, 'T': 600, 'U': 600, 'V': 600, 'W': 600, 'X': 600, 'Y': 600, 'Z': 600, '[': 600, '\\': 600, ']': 600, '^': 600, '_': 600, '`': 600, 'a': 600, 'b': 600, 'c': 600, 'd': 600, 'e': 600, 'f': 600, 'g': 600, 'h': 600, 'i': 600, 'j': 600, 'k': 600, 'l': 600, 'm': 600, 'n': 600, 'o': 600, 'p': 600, 'q': 600, 'r': 600, 's': 600, 't': 600, 'u': 600, 'v': 600, 'w': 600, 'x': 600, 'y': 600, 'z': 600, '{': 600, '|': 600, '}': 600, '~': 600, '\xa1': 600, '\xa2': 600, '\xa3': 600, '\xa4': 600, '\xa5': 600, '\xa6': 600, '\xa7': 600, '\xa8': 600, '\xa9': 600, '\xaa': 600, '\xab': 600, '\xac': 600, '\xae': 600, '\xaf': 600, '\xb0': 600, '\xb1': 600, '\xb2': 600, '\xb3': 600, '\xb4': 600, '\xb5': 600, '\xb6': 600, '\xb7': 600, '\xb8': 600, '\xb9': 600, '\xba': 600, '\xbb': 600, '\xbc': 600, '\xbd': 600, '\xbe': 600, '\xbf': 600, '\xc0': 600, '\xc1': 600, '\xc2': 600, '\xc3': 600, '\xc4': 600, '\xc5': 600, '\xc6': 600, '\xc7': 600, '\xc8': 600, '\xc9': 600, '\xca': 600, '\xcb': 600, '\xcc': 600, '\xcd': 600, '\xce': 600, '\xcf': 600, '\xd0': 600, '\xd1': 600, '\xd2': 600, '\xd3': 600, '\xd4': 600, '\xd5': 600, '\xd6': 600, '\xd7': 600, '\xd8': 600, '\xd9': 600, '\xda': 600, '\xdb': 600, '\xdc': 600, '\xdd': 600, '\xde': 600, '\xdf': 600, '\xe0': 600, '\xe1': 600, '\xe2': 600, '\xe3': 600, '\xe4': 600, '\xe5': 600, '\xe6': 600, '\xe7': 600, '\xe8': 600, '\xe9': 600, '\xea': 600, '\xeb': 600, '\xec': 600, '\xed': 600, '\xee': 600, '\xef': 600, '\xf0': 600, '\xf1': 600, '\xf2': 600, '\xf3': 600, '\xf4': 600, '\xf5': 600, '\xf6': 600, '\xf7': 600, '\xf8': 600, '\xf9': 600, '\xfa': 600, '\xfb': 600, '\xfc': 600, '\xfd': 600, '\xfe': 600, '\xff': 600, '\u0100': 600, '\u0101': 600, '\u0102': 600, '\u0103': 600, '\u0104': 600, '\u0105': 600, '\u0106': 600, '\u0107': 600, '\u010c': 600, '\u010d': 600, '\u010e': 600, '\u010f': 600, '\u0110': 600, '\u0111': 600, '\u0112': 600, '\u0113': 600, '\u0116': 600, '\u0117': 600, '\u0118': 600, '\u0119': 600, '\u011a': 600, '\u011b': 600, '\u011e': 600, '\u011f': 600, '\u0122': 600, '\u0123': 600, '\u012a': 600, '\u012b': 600, '\u012e': 600, '\u012f': 600, '\u0130': 600, '\u0131': 600, '\u0136': 600, '\u0137': 600, '\u0139': 600, '\u013a': 600, '\u013b': 600, '\u013c': 600, '\u013d': 600, '\u013e': 600, '\u0141': 600, '\u0142': 600, '\u0143': 600, '\u0144': 600, '\u0145': 600, '\u0146': 600, '\u0147': 600, '\u0148': 600, '\u014c': 600, '\u014d': 600, '\u0150': 600, '\u0151': 600, '\u0152': 600, '\u0153': 600, '\u0154': 600, '\u0155': 600, '\u0156': 600, '\u0157': 600, '\u0158': 600, '\u0159': 600, '\u015a': 600, '\u015b': 600, '\u015e': 600, '\u015f': 600, '\u0160': 600, '\u0161': 600, '\u0162': 600, '\u0163': 600, '\u0164': 600, '\u0165': 600, '\u016a': 600, '\u016b': 600, '\u016e': 600, '\u016f': 600, '\u0170': 600, '\u0171': 600, '\u0172': 600, '\u0173': 600, '\u0178': 600, '\u0179': 600, '\u017a': 600, '\u017b': 600, '\u017c': 600, '\u017d': 600, '\u017e': 600, '\u0192': 600, '\u0218': 600, '\u0219': 600, '\u02c6': 600, '\u02c7': 600, '\u02d8': 600, '\u02d9': 600, '\u02da': 600, '\u02db': 600, '\u02dc': 600, '\u02dd': 600, '\u2013': 600, '\u2014': 600, '\u2018': 600, '\u2019': 600, '\u201a': 600, '\u201c': 600, '\u201d': 600, '\u201e': 600, '\u2020': 600, '\u2021': 600, '\u2022': 600, '\u2026': 600, '\u2030': 600, '\u2039': 600, '\u203a': 600, '\u2044': 600, '\u2122': 600, '\u2202': 600, '\u2206': 600, '\u2211': 600, '\u2212': 600, '\u221a': 600, '\u2260': 600, '\u2264': 600, '\u2265': 600, '\u25ca': 600, '\uf6c3': 600, '\ufb01': 600, '\ufb02': 600}),
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py
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Python
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basic_input_and_output/comment.py
|
pysga1996/python-basic-programming
|
5fe817986fbef2649b4b03955f07b59d2a2035d8
|
[
"MIT"
] | null | null | null |
basic_input_and_output/comment.py
|
pysga1996/python-basic-programming
|
5fe817986fbef2649b4b03955f07b59d2a2035d8
|
[
"MIT"
] | null | null | null |
basic_input_and_output/comment.py
|
pysga1996/python-basic-programming
|
5fe817986fbef2649b4b03955f07b59d2a2035d8
|
[
"MIT"
] | null | null | null |
# This is a comment
# written in
# more than just one line
"""
This is a comment
written in
more than just one line
"""
| 8.928571
| 25
| 0.672
| 22
| 125
| 3.818182
| 0.5
| 0.142857
| 0.166667
| 0.333333
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0.256
| 125
| 13
| 26
| 9.615385
| 0.903226
| 0.848
| 0
| null | 0
| null | 0
| 0
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| null | 1
| null | true
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| null | null | null | 1
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| 0
| 0
| 0
| 0
|
0
| 10
|
12eea1afb82cf7d4b5fa6fe335e49c5687bbc604
| 1,616
|
py
|
Python
|
python/ccc02j1.py
|
ThePeeps191/dmoj-solutions
|
7137e945f3f595c481ad4d29e1dc3a77d8b26e55
|
[
"MIT"
] | 1
|
2022-01-23T16:02:14.000Z
|
2022-01-23T16:02:14.000Z
|
python/ccc02j1.py
|
ThePeeps191/dmoj-solutions
|
7137e945f3f595c481ad4d29e1dc3a77d8b26e55
|
[
"MIT"
] | 5
|
2022-01-23T00:16:49.000Z
|
2022-01-30T04:37:45.000Z
|
python/ccc02j1.py
|
ThePeeps191/dmoj-solutions
|
7137e945f3f595c481ad4d29e1dc3a77d8b26e55
|
[
"MIT"
] | 1
|
2022-01-23T00:03:47.000Z
|
2022-01-23T00:03:47.000Z
|
n = int(input())
if n == 0:
print(" * * *")
print("* *")
print("* *")
print("* *")
print()
print("* *")
print("* *")
print("* *")
print(" * * *")
elif n == 1:
print()
print(" *")
print(" *")
print(" *")
print()
print(" *")
print(" *")
print(" *")
print()
elif n == 2:
print(" * * *")
print(" *")
print(" *")
print(" *")
print(" * * *")
print("*")
print("*")
print("*")
print(" * * *")
elif n == 3:
print(" * * *")
print(" *")
print(" *")
print(" *")
print(" * * *")
print(" *")
print(" *")
print(" *")
print(" * * *")
elif n == 4:
print()
print("* *")
print("* *")
print("* *")
print(" * * *")
print(" *")
print(" *")
print(" *")
print()
elif n == 5:
print(" * * *")
print("*")
print("*")
print("*")
print(" * * *")
print(" *")
print(" *")
print(" *")
print(" * * *")
elif n == 6:
print(" * * *")
print("*")
print("*")
print("*")
print(" * * *")
print("* *")
print("* *")
print("* *")
print(" * * *")
elif n == 7:
print(" * * *")
print(" *")
print(" *")
print(" *")
print()
print(" *")
print(" *")
print(" *")
print()
elif n == 8:
print(" * * *")
print("* *")
print("* *")
print("* *")
print(" * * *")
print("* *")
print("* *")
print("* *")
print(" * * *")
elif n == 9:
print(" * * *")
print("* *")
print("* *")
print("* *")
print(" * * *")
print(" *")
print(" *")
print(" *")
print(" * * *")
| 16
| 17
| 0.319926
| 123
| 1,616
| 4.203252
| 0.130081
| 1.547389
| 2.030948
| 2.321083
| 0.957447
| 0.957447
| 0.957447
| 0.957447
| 0.957447
| 0.870406
| 0
| 0.009588
| 0.354579
| 1,616
| 101
| 18
| 16
| 0.486098
| 0
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| 0.891089
| 0
| 0
| 0.307978
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| 0
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| 0
| 0
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| 1
| 0
| false
| 0
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| 0
| 0.891089
| 0
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| 0
| null | 1
| 1
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| 1
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| 1
| 1
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| 1
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| 1
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| 1
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 12
|
4232dcc5194be492ead9d8fc48b3b7cd182ce8b6
| 6,088
|
py
|
Python
|
dictdata/models.py
|
szatjp/rabbitplan
|
bae942e4673863027fe7f1936e58f2d9d4ebc5c7
|
[
"CC0-1.0"
] | null | null | null |
dictdata/models.py
|
szatjp/rabbitplan
|
bae942e4673863027fe7f1936e58f2d9d4ebc5c7
|
[
"CC0-1.0"
] | null | null | null |
dictdata/models.py
|
szatjp/rabbitplan
|
bae942e4673863027fe7f1936e58f2d9d4ebc5c7
|
[
"CC0-1.0"
] | null | null | null |
# coding:utf-8
from django.db import models
from django.template.defaultfilters import default
from django.urls import reverse
# Create your models here.
# 单词最大编号
class MaxNo(models.Model):
flanguage = models.CharField(max_length=10)
fmaxno = models.CharField(null=True,max_length=8,blank=True)
fdate = models.DateTimeField(auto_now=True)
# 日语单词表
class JaWord(models.Model):
fwordno = models.CharField(primary_key=True,max_length=8)
fword = models.CharField(max_length=30, blank=True)
fpronunciation = models.CharField(null=True, max_length=30, blank=True)
fwordclass = models.CharField(null=True, max_length=12, blank=True)
frelaword = models.CharField(null=True, max_length=100, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
class Meta:
unique_together = ("fword", "fpronunciation")
def get_absolute_url(self):
return reverse('jaword-detail', args=[self.fwordno])
# 中文单词表
class CnWord(models.Model):
fwordno = models.CharField(primary_key=True,max_length=8)
fword = models.CharField(max_length=30, blank=True)
fpronunciation = models.CharField(null=True, max_length=30, blank=True)
fwordclass = models.CharField(null=True, max_length=12, blank=True)
frelaword = models.CharField(null=True, max_length=100, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
class Meta:
unique_together = ("fword", "fpronunciation")
def get_absolute_url(self):
return reverse('cnword-detail', args=[self.fwordno])
# 英语单词表
class EnWord(models.Model):
fwordno = models.CharField(primary_key=True,max_length=8)
fword = models.CharField(max_length=30, blank=True)
fpronunciation = models.CharField(null=True, max_length=30, blank=True)
fwordclass = models.CharField(null=True, max_length=12, blank=True)
frelaword = models.CharField(null=True, max_length=100, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
class Meta:
unique_together = ("fword", "fpronunciation", "fwordclass")
def get_absolute_url(self):
return reverse('enword-detail', args=[self.fwordno])
# 日语例句表
class JaSentence(models.Model):
fsenno = models.CharField(primary_key=True,max_length=8)
fsentence = models.CharField(null=True, max_length=150, blank=True)
fcntrans = models.CharField(null=True, max_length=150, blank=True)
fentrans = models.CharField(null=True, max_length=150, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
# 中文例句表
class CnSentence(models.Model):
fsenno = models.CharField(primary_key=True,max_length=8)
fsentence = models.CharField(null=True, max_length=150, blank=True)
fjptrans = models.CharField(null=True, max_length=150, blank=True)
fentrans = models.CharField(null=True, max_length=150, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
# 英文例句表
class EnSentence(models.Model):
fsenno = models.CharField(primary_key=True,max_length=8)
fsentence = models.CharField(null=True, max_length=150, blank=True)
fjptrans = models.CharField(null=True, max_length=150, blank=True)
fcntrans = models.CharField(null=True, max_length=150, blank=True)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
favail = models.CharField(max_length=1,default='1')
# 日文汉语互译表
class Ja2Cn(models.Model):
fid = models.AutoField(primary_key=True)
fjaword = models.ForeignKey(JaWord,on_delete=models.CASCADE,)
fcnword = models.ForeignKey(CnWord,on_delete=models.CASCADE,)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
class Meta:
unique_together = ("fjaword", "fcnword")
# 日文英语互译表
class Ja2En(models.Model):
fid = models.AutoField(primary_key=True)
fjaword = models.ForeignKey(JaWord,on_delete=models.CASCADE)
fenword = models.ForeignKey(EnWord,on_delete=models.CASCADE)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
class Meta:
unique_together = ("fjaword", "fenword")
# 英语汉语互译表
class En2Cn(models.Model):
fid = models.AutoField(primary_key=True)
fenword = models.ForeignKey(EnWord,on_delete=models.CASCADE)
fcnword = models.ForeignKey(CnWord,on_delete=models.CASCADE)
fuser = models.CharField(null=True, max_length=30, blank=True)
fdate = models.DateTimeField(auto_now=True)
class Meta:
unique_together = ("fenword", "fcnword")
# 日语单词例句
class JaWordSen(models.Model):
fid = models.AutoField(primary_key=True)
fword = models.ForeignKey(JaWord,on_delete=models.CASCADE)
fsentence = models.ForeignKey(JaSentence,on_delete=models.CASCADE)
fdate = models.DateTimeField(auto_now=True)
# 中文单词例句
class CnWordSen(models.Model):
fid = models.AutoField(primary_key=True)
fword = models.ForeignKey(CnWord,on_delete=models.CASCADE)
fsentence = models.ForeignKey(CnSentence,on_delete=models.CASCADE)
fdate = models.DateTimeField(auto_now=True)
# 英语单词例句
class EnWordSen(models.Model):
fid = models.AutoField(primary_key=True)
fword = models.ForeignKey(EnWord,on_delete=models.CASCADE)
fsentence = models.ForeignKey(EnSentence,on_delete=models.CASCADE)
fdate = models.DateTimeField(auto_now=True)
| 42.873239
| 75
| 0.720762
| 783
| 6,088
| 5.485313
| 0.122605
| 0.153667
| 0.10291
| 0.149942
| 0.868917
| 0.868917
| 0.861467
| 0.817229
| 0.783469
| 0.783469
| 0
| 0.018971
| 0.160151
| 6,088
| 142
| 76
| 42.873239
| 0.821044
| 0.020532
| 0
| 0.678899
| 0
| 0
| 0.025891
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.027523
| false
| 0
| 0.027523
| 0.027523
| 0.944954
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
4275c641dd26a099e475dafc8e5ec81c29993bf4
| 321
|
py
|
Python
|
cupyx/scipy/ndimage/__init__.py
|
weareno1/cupy
|
ac52cce00b69d97b5d99bd1f91caed720b32b2d3
|
[
"MIT"
] | 1
|
2019-04-15T00:06:09.000Z
|
2019-04-15T00:06:09.000Z
|
cupyx/scipy/ndimage/__init__.py
|
hephaex/cupy
|
5cf50a93bbdebe825337ed7996c464e84b1495ba
|
[
"MIT"
] | 1
|
2019-08-05T09:36:13.000Z
|
2019-08-06T12:03:01.000Z
|
cupyx/scipy/ndimage/__init__.py
|
hephaex/cupy
|
5cf50a93bbdebe825337ed7996c464e84b1495ba
|
[
"MIT"
] | 1
|
2022-03-24T13:19:55.000Z
|
2022-03-24T13:19:55.000Z
|
from cupyx.scipy.ndimage.interpolation import affine_transform # NOQA
from cupyx.scipy.ndimage.interpolation import map_coordinates # NOQA
from cupyx.scipy.ndimage.interpolation import rotate # NOQA
from cupyx.scipy.ndimage.interpolation import shift # NOQA
from cupyx.scipy.ndimage.interpolation import zoom # NOQA
| 53.5
| 70
| 0.82866
| 42
| 321
| 6.285714
| 0.333333
| 0.170455
| 0.265152
| 0.397727
| 0.818182
| 0.818182
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.109034
| 321
| 5
| 71
| 64.2
| 0.923077
| 0.074766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
427af1b8e23a4fd2fe219faa857a0b4675254377
| 98
|
py
|
Python
|
test/test_module/hello_world.py
|
bubblegumsoldier/package-obfuscator
|
eaaf88e5d5fe3433e2bcd23590e06b981a5444f2
|
[
"MIT"
] | 4
|
2022-02-16T11:26:32.000Z
|
2022-02-16T13:54:04.000Z
|
test/test_module/hello_world.py
|
bubblegumsoldier/package-obfuscator
|
eaaf88e5d5fe3433e2bcd23590e06b981a5444f2
|
[
"MIT"
] | null | null | null |
test/test_module/hello_world.py
|
bubblegumsoldier/package-obfuscator
|
eaaf88e5d5fe3433e2bcd23590e06b981a5444f2
|
[
"MIT"
] | null | null | null |
from .nested import functionality_test
def perform():
return functionality_test.something()
| 16.333333
| 41
| 0.785714
| 11
| 98
| 6.818182
| 0.818182
| 0.453333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 98
| 5
| 42
| 19.6
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
|
0
| 7
|
4294c0bba9380d7399d69630d92242313447bbd8
| 2,324
|
py
|
Python
|
data/roen/0_create_bpe_model.py
|
ErikHumphrey/sustain-seq2seq
|
c4787f0ca1047d01385e4fa4ffde59c6a8ab4cc4
|
[
"Apache-2.0"
] | 4
|
2019-05-09T19:47:48.000Z
|
2020-04-11T13:58:31.000Z
|
data/roen/0_create_bpe_model.py
|
ErikHumphrey/sustain-seq2seq
|
c4787f0ca1047d01385e4fa4ffde59c6a8ab4cc4
|
[
"Apache-2.0"
] | null | null | null |
data/roen/0_create_bpe_model.py
|
ErikHumphrey/sustain-seq2seq
|
c4787f0ca1047d01385e4fa4ffde59c6a8ab4cc4
|
[
"Apache-2.0"
] | 4
|
2018-12-05T01:52:22.000Z
|
2019-11-01T01:01:52.000Z
|
import sentencepiece as spm
import os
if not os.path.exists("bpe_models"):
os.makedirs("bpe_models")
# 1K
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.ro --model_prefix=setimes.1K.bpe.ro --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=1024')
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.en --model_prefix=setimes.1K.bpe.en --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=1024')
# 8K
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.ro --model_prefix=setimes.8K.bpe.ro --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=8096')
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.en --model_prefix=setimes.8K.bpe.en --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=8096')
#16K
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.ro --model_prefix=setimes.16K.bpe.ro --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=16192')
spm.SentencePieceTrainer.Train('--input=raw/SETIMES.en-ro.en --model_prefix=setimes.16K.bpe.en --unk_surface=<UNK> --character_coverage=1.0 --pad_id=0 --pad_piece=<PAD> --unk_id=1 --unk_piece=<UNK> --bos_id=2 --bos_piece=<BOS> --eos_id=3 --eos_piece=<EOS> --model_type=bpe --num_threads=8 --split_by_whitespace=true --shuffle_input_sentence=true --vocab_size=16192')
| 129.111111
| 366
| 0.743546
| 398
| 2,324
| 4.065327
| 0.130653
| 0.029666
| 0.103832
| 0.122373
| 0.948084
| 0.939431
| 0.939431
| 0.939431
| 0.939431
| 0.939431
| 0
| 0.03648
| 0.056368
| 2,324
| 17
| 367
| 136.705882
| 0.701322
| 0.004303
| 0
| 0
| 0
| 0.6
| 0.867532
| 0.361905
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
c40b3dc338a398aef192ab0097660ae87a9f216b
| 1,430
|
py
|
Python
|
multicrackV2.py
|
DarkFacebookNet378/H3K3L
|
367376173df8ef7df29d3d6d1de7d9ffcb2c9d0b
|
[
"Apache-2.0"
] | 2
|
2021-01-09T07:38:24.000Z
|
2021-01-11T13:02:48.000Z
|
multicrackV2.py
|
DarkFacebookNet378/H3K3L
|
367376173df8ef7df29d3d6d1de7d9ffcb2c9d0b
|
[
"Apache-2.0"
] | 1
|
2021-01-09T09:30:05.000Z
|
2021-01-09T09:30:05.000Z
|
multicrackV2.py
|
DarkFacebookNet378/H3K3L
|
367376173df8ef7df29d3d6d1de7d9ffcb2c9d0b
|
[
"Apache-2.0"
] | 1
|
2021-01-25T03:10:54.000Z
|
2021-01-25T03:10:54.000Z
|
import marshal,zlib,base64
exec(marshal.loads(zlib.decompress(base64.b64decode("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"))))
| 476.666667
| 1,402
| 0.955944
| 57
| 1,430
| 23.982456
| 0.947368
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| 0.15487
| 0.002098
| 1,430
| 2
| 1,403
| 715
| 0.803083
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| 0.5
| 0.93986
| 0.93986
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| true
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| 0
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|
0
| 10
|
c40c07e7fb6271ecffe7fe4039c49480727f2071
| 91,524
|
py
|
Python
|
pyslm/settings.py
|
leonardojacomussi/PySLM
|
94283afa022cd113129b4f42f1745e22ad3730f9
|
[
"MIT"
] | 1
|
2021-07-23T17:13:40.000Z
|
2021-07-23T17:13:40.000Z
|
pyslm/settings.py
|
leonardojacomussi/PySLM
|
94283afa022cd113129b4f42f1745e22ad3730f9
|
[
"MIT"
] | null | null | null |
pyslm/settings.py
|
leonardojacomussi/PySLM
|
94283afa022cd113129b4f42f1745e22ad3730f9
|
[
"MIT"
] | 2
|
2021-06-14T10:47:44.000Z
|
2021-12-29T16:29:30.000Z
|
from PyQt5 import QtCore, QtGui, QtWidgets
import sounddevice as sd
import threading as thd
from time import sleep
import numpy as np
import pyqtgraph
import os, sys
import pyslm
path_icons = os.path.join(os.path.dirname(os.path.realpath(pyslm.__file__)), 'Icons')
if sys.platform == 'win32' or sys.platform == 'win64':
import ctypes
myappid = u'mycompany.myproduct.subproduct.version' # arbitrary string
ctypes.windll.shell32.SetCurrentProcessExplicitAppUserModelID(myappid)
else:
pass
class setSetup(QtWidgets.QDialog, pyslm.guiSetup):
def __init__(self, parent=None):
super(setSetup, self).__init__(parent)
self.setupUi(self)
self.restore = False
self._listNumFreq = [20.0, 25.0, 31.5, 40.0, 50.0, 63.0, 80.0,
100.0, 125.0, 160.0, 200.0, 250.0, 4000.0,
5000.0, 6300.0, 8000.0, 10000.0, 16000.0, 20000.0]
self._listStrFreq = ['20 Hz', '25 Hz', '31.5 Hz', '40 Hz', '50 Hz', '63 Hz',
'80 Hz', '100 Hz', '125 Hz', '160 Hz', '200 Hz', '250 Hz',
'4 kHz', '5 kHz', '6.3 kHz', '8 kHz', '10 kHz', '16 kHz', '20 kHz']
self._str2numFreq = {}
self._num2strFreq = {}
count = 0
for string in self._listStrFreq:
self._str2numFreq[string] = self._listNumFreq[count]
count += 1
count = 0
for number in self._listNumFreq:
self._num2strFreq[number] = self._listStrFreq[count]
count += 1
self.newParams = pyslm.parameters.load()
self.currentParams = pyslm.parameters.load()
self.plotMic = None
self.plotADC = None
self._setTabMeasurement()
self._setTabCalibration()
self._setTabProjects()
self._setTabSpectrumCorretion()
self._setTabDevice()
self.changedParams()
self.btnClose.clicked.connect(self.btnClose_Action)
self.btnApply.clicked.connect(self.btnApply_Action)
self.btnRestore.clicked.connect(self.btnRestore_Action)
def _restore(self):
self.newParams = self.currentParams.copy()
self.compensationView.plotItem.clear()
self.plotMic = None
self.plotADC = None
self._setTabMeasurement()
self._setTabCalibration()
self._setTabProjects()
self._setTabSpectrumCorretion()
self._setTabDevice()
self.changedParams()
return
def _setTabMeasurement(self):
# Set current template
if self.newParams['template'] == 'frequencyAnalyzer':
self.inTemplate.setCurrentIndex(0)
else:
self.inTemplate.setCurrentIndex(1)
# Set current bandwidth
if self.newParams['b'] == 1:
self.inBandwidth.setCurrentIndex(0)
else:
self.inBandwidth.setCurrentIndex(1)
methods = {'sweepExponential': 'Exponential sweep',
'whiteNoise': 'White noise',
'pinkNoise': 'Pink noise',
'impulse': 'Impulse'}
self.inMethod.setCurrentText(methods[self.newParams['method']])
self._listParamsTabMeasurement()
self._setfrequencyLimits()
self._setMethod()
# Set frequency weighting
self.inFreqWeighting.setCurrentText(self.newParams['fweighting'])
# Set time weighting
TimeWeighting = {0.035: 'Impulse', 0.125: 'Fast', 1.0: 'Slow'}
self.inTimeWeighting.setCurrentText(TimeWeighting[self.newParams['tau']])
# Set duration
h, m, s = self.seconds2HMN(self.newParams['duration'])
self.inHour.setCurrentText(h)
self.inMin.setCurrentText(m)
self.inSec.setCurrentText(s)
# Set excitation time
_, m, s = self.seconds2HMN(self.newParams['excitTime'])
self.inMinExcit.setCurrentText(m)
self.inSecExcit.setCurrentText(s)
# Set escape time
_, m, s = self.seconds2HMN(self.newParams['scapeTime'])
self.inMinScape.setCurrentText(m)
self.inSecScape.setCurrentText(s)
# Set decay time
_, _, s = self.seconds2HMN(self.newParams['decayTime'])
self.inSecDecay.setCurrentText(s)
# Set number of decay
self.inNumDecays.setCurrentText('%02d'%self.newParams['numDecay'])
# Set trigger level
self.inTriggerLevel.setCurrentText('%02d dB'%self.newParams['TLevel'])
# Set connections
self.inTemplate.currentIndexChanged.connect(self._setfrequencyLimits)
self.inBandwidth.currentIndexChanged.connect(self._setfrequencyLimits)
self.inBottomFreq.currentIndexChanged.connect(self._setBottomFreq)
self.inTopFreq.currentIndexChanged.connect(self._setTopFreq)
self.inHour.currentTextChanged.connect(self._setDuration)
self.inMin.currentTextChanged.connect(self._setDuration)
self.inSec.currentTextChanged.connect(self._setDuration)
self.inFreqWeighting.currentTextChanged.connect(self._setFreqWeighting)
self.inTimeWeighting.currentTextChanged.connect(self._setTimeWeighting)
self.inMethod.currentIndexChanged.connect(self._setMethod)
self.inMinExcit.currentTextChanged.connect(self._setExcitTime)
self.inSecExcit.currentTextChanged.connect(self._setExcitTime)
self.inMinScape.currentTextChanged.connect(self._setEscapeTime)
self.inSecScape.currentTextChanged.connect(self._setEscapeTime)
self.inSecDecay.currentTextChanged.connect(self._setSecDecay)
self.inNumDecays.currentTextChanged.connect(self._setNumDecay)
self.inTriggerLevel.currentTextChanged.connect(self._setTriggerLevel)
def _setTabCalibration(self):
self.groupBox_Calibration.setEnabled(False)
self.groupBox_Calibration.setTitle('')
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
# Set reference sound pressure
self.inPressureRef.setCurrentText('%02d dB'%self.newParams['pCalib'])
# Set reference frequency
self.inFrequencyRef.setCurrentText('%d Hz'%self.newParams['fCalib'])
# Set current correction factor
self.val_CurrentCorrFactor.setText('%.2f dB'%self.newParams['corrFactor'])
# Set current sensitivity
self.val_CurrentSensitivity.setText('%.2f mV/Pa'%self.newParams['sensitivity'])
self.inPressureRef.currentTextChanged.connect(self._setPressureRef)
self.inFrequencyRef.currentIndexChanged.connect(self._setFrequencyRef)
self.btnCalibrate.clicked.connect(self.btnCalibrate_Action)
self.btnAccept.clicked.connect(self.btnAccept_Action)
self.btnDecline.clicked.connect(self.btnDecline_Action)
def _setTabSpectrumCorretion(self):
self.groupBox_CompensationViewer.setEnabled(False)
if self.currentParams['micCorrFile'] != None:
_, file_name = os.path.split(self.currentParams['micCorrFile'])
self.disp_CurrentMicFile.setText(file_name)
if self.currentParams['applyMicCorr']:
self.onMicCorr.setChecked(True)
else:
self.onMicCorr.setChecked(False)
else:
self.disp_CurrentMicFile.setText('No microphone calibration files defined')
self.onMicCorr.setEnabled(False)
self.onMicCorr.setChecked(False)
if self.currentParams['adcCorrFile'] != None:
_, file_name = os.path.split(self.currentParams['adcCorrFile'])
self.disp_CurrentADCFile.setText(file_name)
if self.currentParams['applyAdcCorr']:
self.onADCCorr.setChecked(True)
else:
self.onADCCorr.setChecked(False)
else:
self.disp_CurrentADCFile.setText('No ADC calibration file defined')
self.onADCCorr.setEnabled(False)
self.onADCCorr.setChecked(False)
if self.onMicCorr.isChecked():
if self.plotMic == None:
pen=pyqtgraph.mkPen(color=(120, 145, 255))
self.plotMic = pyqtgraph.PlotDataItem(self.currentParams['micCorr'][:, 0],
self.currentParams['micCorr'][:, 1],
pen=pen, clear=True, name='Microphone response')
self.compensationView.addItem(self.plotMic)
else:
self.compensationView.addItem(self.plotMic)
else:
if not self.plotMic is None:
self.compensationView.removeItem(self.plotMic)
else:
pass
if self.onADCCorr.isChecked():
if self.plotADC == None:
pen=pyqtgraph.mkPen(color=(222, 28, 74))
self.plotADC = pyqtgraph.PlotDataItem(self.currentParams['adcCorr'][:, 0],
self.currentParams['adcCorr'][:, 1],
pen=pen, clear=True, name='ADC response')
self.compensationView.addItem(self.plotADC)
else:
self.compensationView.addItem(self.plotADC)
else:
if not self.plotADC is None:
self.compensationView.removeItem(self.plotADC)
else:
pass
# Set connections
self.btnLoadMicFile.clicked.connect(self._openMicFile)
self.btnLoadADCFile.clicked.connect(self._openAdcFile)
self.onMicCorr.clicked.connect(self._setOnMicCorr)
self.onADCCorr.clicked.connect(self._setOnADCCorr)
return
def _openMicFile(self):
try:
file = str(QtWidgets.QFileDialog.getOpenFileName(self, "Select microphone calibration file", "", "*.txt"))
if file == "('', '')":
Exception
else:
pass
if sys.platform == 'win32' or sys.platform == 'win64':
file = file.replace('/', '\\')
file = file[1:].replace(", '*.txt')", "").replace("'", "")
_, file_name = os.path.split(file)
# print("Path: {}\nFile: {}\n".format(folder, file_name))
micData = np.loadtxt(fname=file)
self.newParams['micCorrFile'] = file
self.newParams['micCorr'] = micData
self.onMicCorr.setEnabled(True)
self.disp_CurrentMicFile.setText(file_name)
if self.plotMic != None and self.onMicCorr.isChecked():
self.compensationView.removeItem(self.plotMic)
self.plotMic = None
self._setPlotMicCompensation()
elif self.plotMic != None:
self.compensationView.removeItem(self.plotMic)
self.plotMic = None
self.changedParams()
except:
if self.plotMic == None:
self.newParams['micCorrFile'] = None
self.newParams['micCorr'] = None
self.newParams['applyMicCorr'] = False
self.onMicCorr.setEnabled(False)
self.onMicCorr.setChecked(False)
self.disp_CurrentMicFile.setText('No microphone calibration files defined')
else:
pass
return
def _openAdcFile(self):
try:
file = str(QtWidgets.QFileDialog.getOpenFileName(self, "Select ADC calibration file", "", "*.txt"))
if file == "('', '')":
Exception
else:
pass
if sys.platform == 'win32' or sys.platform == 'win64':
file = file.replace('/', '\\')
file = file[1:].replace(", '*.txt')", "").replace("'", "")
_, file_name = os.path.split(file)
# print("Path: {}\nFile: {}\n".format(folder, file_name))
micADC = np.loadtxt(fname=file)
self.newParams['adcCorrFile'] = file
self.newParams['adcCorr'] = micADC
self.onADCCorr.setEnabled(True)
self.disp_CurrentADCFile.setText(file_name)
if self.plotADC != None and self.onADCCorr.isChecked():
self.compensationView.removeItem(self.plotADC)
self.plotADC = None
self._setPlotADCCompensation()
self.changedParams()
except:
if self.plotADC == None:
self.newParams['adcCorrFile'] = None
self.newParams['adcCorr'] = None
self.newParams['applyAdcCorr'] = False
self.onADCCorr.setEnabled(False)
self.onADCCorr.setChecked(False)
self.disp_CurrentADCFile.setText('No ADC calibration file defined')
else:
pass
return
def _setOnMicCorr(self):
if self.onMicCorr.isChecked():
self.newParams['applyMicCorr'] = True
else:
self.newParams['applyMicCorr'] = False
self._setPlotMicCompensation()
self.changedParams()
return
def _setOnADCCorr(self):
if self.onADCCorr.isChecked():
self.newParams['applyAdcCorr'] = True
else:
self.newParams['applyAdcCorr'] = False
self._setPlotADCCompensation()
self.changedParams()
return
def _setPlotMicCompensation(self):
if self.onMicCorr.isChecked():
if self.plotMic == None:
pen=pyqtgraph.mkPen(color=(120, 145, 255))
self.plotMic = pyqtgraph.PlotDataItem(self.newParams['micCorr'][:, 0],
self.newParams['micCorr'][:, 1],
pen=pen, clear=True, name='Microphone response')
self.compensationView.addItem(self.plotMic)
else:
self.compensationView.addItem(self.plotMic)
else:
if not self.plotMic is None:
self.compensationView.removeItem(self.plotMic)
else:
pass
return
def _setPlotADCCompensation(self):
if self.onADCCorr.isChecked():
if self.plotADC == None:
pen=pyqtgraph.mkPen(color=(222, 28, 74))
self.plotADC = pyqtgraph.PlotDataItem(self.newParams['adcCorr'][:, 0],
self.newParams['adcCorr'][:, 1],
pen=pen, clear=True, name='ADC response')
self.compensationView.addItem(self.plotADC)
else:
self.compensationView.addItem(self.plotADC)
else:
if not self.plotADC is None:
self.compensationView.removeItem(self.plotADC)
else:
pass
return
def _setTabDevice(self):
self._listParamsTabDevice()
self.listInDevices.currentIndexChanged.connect(self._setInputDevice)
self.listOutDevices.currentIndexChanged.connect(self._setOutputDevice)
self.inChannels.currentIndexChanged.connect(self._setInChannels)
self.outChannels.currentTextChanged.connect(self._setOutChannels)
self.listSampleRate.currentIndexChanged.connect(self._setSampleRate)
return
def _setInputDevice(self):
self.inChannels.clear()
self.listSampleRate.clear()
# Query devices
inputDevices, outputDevices, _ = self._setDevices()
d = [inputDevices[self.listInDevices.currentIndex()]['id'],
outputDevices[self.listOutDevices.currentIndex()]['id']]
self.newParams['device'], self.newParams['fs'] = \
self._checkParamsDevice(d, self.newParams['fs'])
# List and set input channels
for inCh in range(len(inputDevices[self.listInDevices.currentIndex()]['listCha'])):
self.inChannels.addItem("")
self.inChannels.setItemText(inCh, str(inCh+1))
self.inChannels.setCurrentText(str(self.newParams['inCh'][0]))
# List sample rate
for fs in range(len(inputDevices[self.listInDevices.currentIndex()]['fs_list'])):
self.listSampleRate.addItem("")
self.listSampleRate.setItemText(fs, '%d Hz'%inputDevices[self.listInDevices.currentIndex()]['fs_list'][fs])
# Set sample rate
self.listSampleRate.setCurrentText('%d Hz'%self.newParams['fs'])
self.changedParams()
return
def _setOutputDevice(self):
self.outChannels.clear()
# Query devices
inputDevices, outputDevices, _ = self._setDevices()
d = [inputDevices[self.listInDevices.currentIndex()]['id'],
outputDevices[self.listOutDevices.currentIndex()]['id']]
self.newParams['device'], self.newParams['fs'] = \
self._checkParamsDevice(d, self.newParams['fs'])
# List and set output channels
for outCh in range(len(outputDevices[self.listOutDevices.currentIndex()]['listCha'])):
self.outChannels.addItem("")
self.outChannels.setItemText(outCh, str(outCh+1))
if outCh+1 in self.newParams['outCh']:
self.outChannels.setItemChecked(outCh, True)
else:
self.outChannels.setItemChecked(outCh, False)
self.changedParams()
return
def _setInChannels(self):
if self.inChannels.count() > 0:
self.newParams['inCh'] = [self.inChannels.currentIndex()+1]
self.changedParams()
else:
pass
return
def _setOutChannels(self):
if self.outChannels.count() > 0:
outChannels = []
for outCha in range(self.outChannels.count()):
if self.outChannels.itemChecked(outCha):
outChannels.append(outCha+1)
if len(outChannels) > 0:
self.outChannels.setCurrentText(str(outChannels[-1]))
self.newParams['outCh'] = outChannels
self.changedParams()
else:
pass
return
def _setSampleRate(self):
if self.listSampleRate.count() > 0:
if self.listSampleRate.currentText() != '':
self.newParams['fs'] = int(self.listSampleRate.currentText().replace(' Hz', ''))
self.changedParams()
else:
pass
return
def _setPressureRef(self):
self.newParams['pCalib'] = int(self.inPressureRef.currentText().replace(' dB', ''))
self.changedParams()
return
def _setFrequencyRef(self):
self.newParams['fCalib'] = int(self.inFrequencyRef.currentText().replace(' Hz', ''))
self.changedParams()
return
def _setBottomFreq(self):
if self.inBottomFreq.count() > 0:
self.newParams['fstart'] = self._str2numFreq[self.inBottomFreq.currentText()]
self.changedParams()
else:
pass
return
def _setTopFreq(self):
if self.inTopFreq.count() > 0:
self.newParams['fend'] = self._str2numFreq[self.inTopFreq.currentText()]
self.changedParams()
else:
pass
return
def _setDuration(self):
hour = int(self.inHour.currentText().replace('h', ''))
minute = int(self.inMin.currentText().replace('m', ''))
second = int(self.inSec.currentText().replace('s', ''))
duration = 3600*hour + 60*minute + second
if duration < 15:
duration = 15
self.inSec.setCurrentText('15s')
else:
pass
self.newParams['duration'] = duration
self.changedParams()
return
def _setExcitTime(self):
minute = int(self.inMinExcit.currentText().replace('m', ''))
second = int(self.inSecExcit.currentText().replace('s', ''))
durationExcit = 60*minute + second
self.newParams['excitTime'] = durationExcit
self.changedParams()
return
def _setEscapeTime(self):
minute = int(self.inMinScape.currentText().replace('m', ''))
second = int(self.inSecScape.currentText().replace('s', ''))
scapeTime = 60*minute + second
self.newParams['scapeTime'] = scapeTime
self.changedParams()
return
def _setSecDecay(self):
decayTime = int(self.inSecDecay.currentText().replace('s', ''))
self.newParams['decayTime'] = decayTime
self.changedParams()
return
def _setNumDecay(self):
self.newParams['numDecay'] = int(self.inNumDecays.currentText())
self.changedParams()
return
def _setTriggerLevel(self):
self.newParams['TLevel'] = int(self.inTriggerLevel.currentText().replace(' dB', ''))
self.changedParams()
return
def _setFreqWeighting(self):
self.newParams['fweighting'] = self.inFreqWeighting.currentText()
self.changedParams()
return
def _setTimeWeighting(self):
TimeWeighting = {'Impulse': 0.035, 'Fast': 0.125, 'Slow': 1.0}
self.newParams['tau'] = TimeWeighting[self.inTimeWeighting.currentText()]
self.changedParams()
return
def _setMethod(self):
methods = {'Exponential sweep': 'sweepExponential',
'White noise': 'whiteNoise',
'Pink noise': 'pinkNoise',
'Impulse': 'impulse'}
if self.inMethod.currentIndex() == 3:
self.inTriggerLevel.setEnabled(True)
self.inMinExcit.setEnabled(False)
self.inSecExcit.setEnabled(False)
self.inMinScape.setEnabled(False)
self.inSecScape.setEnabled(False)
self.inNumDecays.setEnabled(False)
else:
self.inTriggerLevel.setEnabled(False)
self.inMinExcit.setEnabled(True)
self.inSecExcit.setEnabled(True)
self.inMinScape.setEnabled(True)
self.inSecScape.setEnabled(True)
self.inNumDecays.setEnabled(True)
self.newParams['method'] = methods[self.inMethod.currentText()]
self.changedParams()
return
def changedParams(self):
changes = []
for key in self.newParams.keys():
if not type(self.newParams[key]) is np.ndarray:
if self.newParams[key] == self.currentParams[key]:
changes.append(True)
else:
changes.append(False)
elif type(self.newParams[key]) == np.ndarray:
if np.array_equal(a1=self.newParams[key], a2=self.currentParams[key]):
changes.append(True)
else:
changes.append(False)
else:
pass
if not False in changes:
self.btnApply.setEnabled(False)
self.btnApply.setText('Apply')
self.btnRestore.setEnabled(False)
else:
self.btnApply.setEnabled(True)
self.btnApply.setText('Apply*')
self.btnRestore.setEnabled(True)
return
def btnCalibrate_Action(self):
self.btnCalibrate.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnDecline.setEnabled(False)
self.groupBox_Calibration.setEnabled(True)
self.plotCalib = pyqtgraph.PlotCurveItem()
self.CalibrationView.addItem(self.plotCalib)
self.stream_calibration = pyslm.StreamManager(version='AdvFreqAnalyzer',
path = os.path.join(self.currentParams['pathProject'], self.currentParams['currentProject']),
device=self.currentParams['device'],
fs=self.currentParams['fs'],
inCh=self.currentParams['inCh'],
outCh=self.currentParams['outCh'],
tau=1.0,
fstart=self.currentParams['fstart'],
fend=self.currentParams['fend'],
b=self.currentParams['b'],
fweighting=self.currentParams['fweighting'],
duration=10,
excitTime=self.currentParams['excitTime'],
scapeTime=self.currentParams['scapeTime'],
decayTime=self.currentParams['decayTime'],
template='calibration',
method=self.currentParams['method'],
numDecay=self.currentParams['numDecay'],
TLevel = self.currentParams['TLevel'],
fCalib=self.currentParams['fCalib'],
pCalib=self.currentParams['pCalib'],
calibFactor=self.currentParams['calibFactor'],
micCorr=self.currentParams['micCorr'],
applyMicCorr=self.currentParams['applyMicCorr'],
adcCorr=self.currentParams['adcCorr'],
applyAdcCorr=self.currentParams['applyAdcCorr'],
saveRawData=self.currentParams['saveRawData'])
self.stream_calibration.play()
self.stream_calibration.realtime_data.connect(self.updateCalibrate)
self.stream_calibration.fullresults_data.connect(self.fullCalibrate)
return
@QtCore.pyqtSlot(dict)
def updateCalibrate(self, results):
SPL = results['SPL'][1:]
with np.errstate(divide='ignore'):
freqVector = np.log10(results['freqVector'][1:])
framesRead = self.stream_calibration.framesRead
countdown = int(self.stream_calibration.duration - framesRead/self.stream_calibration.fs)
if countdown > 0:
self.groupBox_Calibration.setTitle('Performing calibration, please wait %02ds'%countdown)
if freqVector.size == SPL.size:
self.plotCalib.setData(x=freqVector, y=SPL, pen=pyqtgraph.mkPen(color=(120, 145, 255)))
else:
pass
else:
pass
return
@QtCore.pyqtSlot(dict)
def fullCalibrate(self, results):
self.groupBox_Calibration.setTitle('Performing calibration, please wait 00s')
SPL = results['SPL']
with np.errstate(divide='ignore'):
freqVector = np.log10(results['freqVector'][1:])
self.sensitivity = results['sensitivity']
self.correction = results['correction']
self.FC = results['FC']
if freqVector.size == SPL.size:
self.plotCalib.setData(freqVector, SPL)
else:
pass
self.lbl_NewCorrFactor.setText('New correction factor: %.02f dB'%self.correction)
self.lbl_NewSensitivity.setText('New sensitivity: %.02f mV/Pa'%self.sensitivity)
self.btnAccept.setEnabled(True)
self.btnDecline.setEnabled(True)
def btnAccept_Action(self):
self.currentParams['corrFactor'] = self.correction
self.currentParams['sensitivity'] = self.sensitivity
self.currentParams['calibFactor'] = self.FC
self.newParams['corrFactor'] = self.correction
self.newParams['sensitivity'] = self.sensitivity
self.newParams['calibFactor'] = self.FC
self.val_CurrentCorrFactor.setText('%.2f dB'%self.newParams['corrFactor'])
self.val_CurrentSensitivity.setText('%.2f mV/Pa'%self.newParams['sensitivity'])
pyslm.parameters.update(self.currentParams)
self.changedParams()
self.groupBox_Calibration.setEnabled(False)
self.groupBox_Calibration.setTitle('')
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
self.btnDecline.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnCalibrate.setEnabled(True)
self.CalibrationView.removeItem(self.plotCalib)
return
def btnDecline_Action(self):
self.changedParams()
self.groupBox_Calibration.setEnabled(False)
self.groupBox_Calibration.setTitle('')
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
self.btnDecline.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnCalibrate.setEnabled(True)
self.CalibrationView.removeItem(self.plotCalib)
return
def btnClose_Action(self):
# os.chdir(path_main)
self.close()
return
def btnApply_Action(self):
self.currentParams = self.newParams.copy()
self.changedParams()
pyslm.parameters.update(self.currentParams)
return
def btnRestore_Action(self):
self.restore = True
self._restore()
self.restore = False
return
def findFrequency(self, freq):
if self.newParams['b'] == 1:
if self.newParams['template'] == 'frequencyAnalyzer':
vecfrequency = [31.5, 63.0, 125.0, 250.0, 4000.0, 8000.0, 16000.0]
else:
vecfrequency = [63.0, 125.0, 250.0, 4000.0, 8000.0]
frequency = np.asarray(vecfrequency)
else:
if self.newParams['template'] == 'frequencyAnalyzer':
vecfrequency = self._listNumFreq
else:
vecfrequency = self._listNumFreq[4:17]
frequency = np.asarray(vecfrequency)
dist = np.sqrt((frequency - freq)**2)
return vecfrequency[np.argmin(dist)]
def seconds2HMN(self, seconds):
M, S = divmod(seconds, 60)
H, M = divmod(M, 60)
# return "%02d:%02d:%02d" % (H, M, S)
return '%02dh'%H, '%02dm'%M, '%02ds'%S
def _setfrequencyLimits(self):
self.inBottomFreq.clear()
self.inTopFreq.clear()
if self.inTemplate.currentIndex() == 0:
self.newParams['template'] = 'frequencyAnalyzer'
self.inHour.setEnabled(True)
self.inMin.setEnabled(True)
self.inSec.setEnabled(True)
self.inFreqWeighting.setEnabled(True)
self.inTimeWeighting.setEnabled(True)
self.groupBox_ExcitSignal.setEnabled(False)
minoctband_third = ['20 Hz', '25 Hz', '31.5 Hz', '40 Hz', '50 Hz', '63 Hz',
'80 Hz', '100 Hz', '125 Hz', '160 Hz', '200 Hz', '250 Hz']
maxoctband_third = ['4 kHz', '5 kHz', '6.3 kHz', '8 kHz', '10 kHz', '16 kHz', '20 kHz']
minoctband_one = ['31.5 Hz', '63 Hz', '125 Hz', '250 Hz']
maxoctband_one = ['4 kHz', '8 kHz', '16 kHz']
else:
self.newParams['template'] = 'reverberationTime'
self.inHour.setEnabled(False)
self.inMin.setEnabled(False)
self.inSec.setEnabled(False)
self.inFreqWeighting.setEnabled(False)
self.inTimeWeighting.setEnabled(False)
self.inFreqWeighting.setCurrentIndex(2)
self.groupBox_ExcitSignal.setEnabled(True)
minoctband_third = ['50 Hz', '63 Hz', '80 Hz', '100 Hz', '125 Hz', '160 Hz', '200 Hz', '250 Hz']
maxoctband_third = ['4 kHz', '5 kHz', '6.3 kHz', '8 kHz', '10 kHz']
minoctband_one = ['63 Hz', '125 Hz', '250 Hz']
maxoctband_one = ['4 kHz', '8 kHz']
if self.inBandwidth.currentIndex() == 0:
self.newParams['b'] = 1
self.inBottomFreq.addItems(minoctband_one)
self.inTopFreq.addItems(maxoctband_one)
else:
self.newParams['b'] = 3
self.inBottomFreq.addItems(minoctband_third)
self.inTopFreq.addItems(maxoctband_third)
if self.restore:
self.newParams = self.currentParams.copy()
# Set current bottom frequency
bottomFreq = self.findFrequency(freq=self.currentParams['fstart'])
self.inBottomFreq.setCurrentText(self._num2strFreq[bottomFreq])
# Set current top frequency
topFreq = self.findFrequency(freq=self.currentParams['fend'])
self.inTopFreq.setCurrentText(self._num2strFreq[topFreq])
self.changedParams()
return
def _listParamsTabMeasurement(self):
# Set items Hours
for h in range(24):
self.inHour.addItem("")
self.inHour.setItemText(h, '%02dh'%h)
# Set items Minutes
for m in range(60):
self.inMin.addItem("")
self.inMin.setItemText(m, '%02dm'%m)
if m < 6:
self.inMinExcit.addItem("")
self.inMinExcit.setItemText(m, '%02dm'%m)
self.inMinScape.addItem("")
self.inMinScape.setItemText(m, '%02dm'%m)
# Set items Seconds
for s in range(60):
self.inSec.addItem("")
self.inSec.setItemText(s, '%02ds'%s)
if s > 4:
self.inSecExcit.addItem("")
self.inSecExcit.setItemText(s-5, '%02ds'%s)
self.inSecScape.addItem("")
self.inSecScape.setItemText(s, '%02ds'%s)
# Set items time decay
for d in range(21):
if d > 2:
self.inSecDecay.addItem("")
self.inSecDecay.setItemText(d-3, '%02ds'%d)
# Set items number of decays
for nd in range(101):
if nd > 0:
self.inNumDecays.addItem("")
self.inNumDecays.setItemText(nd-1, '%02d'%nd)
# Set items trigger leves
for t in range(101):
if t > 39:
self.inTriggerLevel.addItem("")
self.inTriggerLevel.setItemText(t-40, '%02d dB'%t)
return
def _listParamsTabDevice(self):
# Query devices
inputDevices, outputDevices, _ = self._setDevices()
sd_devices = sd.query_devices()
self.newParams['device'], self.newParams['fs'] = \
self._checkParamsDevice(self.newParams['device'], self.newParams['fs'])
# List input devices
for dev in range(len(inputDevices)):
self.listInDevices.addItem("")
self.listInDevices.setItemText(dev, inputDevices[dev]['name'])
# Set input device
self.listInDevices.setCurrentText(sd_devices[self.newParams['device'][0]]['name'])
# List and set input channels
for inCh in range(len(inputDevices[self.listInDevices.currentIndex()]['listCha'])):
self.inChannels.addItem("")
self.inChannels.setItemText(inCh, str(inCh+1))
self.inChannels.setCurrentText(str(self.newParams['inCh'][0]))
# List output devices
for dev in range(len(outputDevices)):
self.listOutDevices.addItem("")
self.listOutDevices.setItemText(dev, outputDevices[dev]['name'])
# Set output device
self.listOutDevices.setCurrentText(sd_devices[self.newParams['device'][1]]['name'])
# List and set output channels
for outCh in range(len(outputDevices[self.listOutDevices.currentIndex()]['listCha'])):
self.outChannels.addItem("")
self.outChannels.setItemText(outCh, str(outCh+1))
if outCh+1 in self.newParams['outCh']:
self.outChannels.setItemChecked(outCh, True)
else:
self.outChannels.setItemChecked(outCh, False)
# List sample rate
for fs in range(len(inputDevices[self.listInDevices.currentIndex()]['fs_list'])):
self.listSampleRate.addItem("")
self.listSampleRate.setItemText(fs, '%d Hz'%inputDevices[self.listInDevices.currentIndex()]['fs_list'][fs])
# Set sample rate
self.listSampleRate.setCurrentText('%d Hz'%self.newParams['fs'])
return
def _checkParamsDevice(self, device, fs):
# Check input parameters
inputDevice = device[0]
outputDevice = device[1]
try:
sd.check_input_settings(device=inputDevice, samplerate=fs)
except:
sd_devices = sd.query_devices()
inputDevice = sd.default.device[0]
fs = int(sd_devices[sd.default.device[0]]['default_samplerate'])
else:
pass
# Check output parameters
try:
sd.check_output_settings(device=outputDevice, samplerate=fs)
except:
sd_devices = sd.query_devices()
outputDevice = sd.default.device[1]
else:
pass
return [inputDevice, outputDevice], fs
def _setDevices(self):
sd_devices = sd.query_devices()
def supportedFs(device, kind):
samplerates = [44100, 48000, 96000, 128000]
supported_samplerates = []
for fs in samplerates:
try:
if kind == 'in':
sd.check_input_settings(device=device, samplerate=fs)
else:
sd.check_output_settings(device=device, samplerate=fs)
except:
pass
else:
supported_samplerates.append(fs)
return supported_samplerates
def supportedCha(device, kind, numCha):
supported_channels = []
for ch in range(numCha+1):
try:
if kind == 'in':
sd.check_input_settings(device=device, channels=ch)
else:
sd.check_output_settings(device=device, channels=ch)
except:
pass
else:
supported_channels.append(ch)
return supported_channels
inputDevices = []
outputDevices = []
for dev in range(len(sd_devices)):
if sd_devices[dev]['max_input_channels'] > 0:
listFs = supportedFs(dev, 'in')
listCha = supportedCha(dev, 'in', sd_devices[dev]['max_input_channels'])
inputDevices.append({'name': sd_devices[dev]['name'],
'numCha': sd_devices[dev]['max_input_channels'],
'id': dev,
'fs_default': sd_devices[dev]['default_samplerate'],
'fs_list': listFs,
'listCha': listCha})
if sd_devices[dev]['max_output_channels'] > 0:
listFs = supportedFs(dev, 'out')
listCha = supportedCha(dev, 'out', sd_devices[dev]['max_output_channels'])
outputDevices.append({'name': sd_devices[dev]['name'],
'numCha': sd_devices[dev]['max_output_channels'],
'id': dev,
'fs_default': sd_devices[dev]['default_samplerate'],
'fs_list': listFs,
'listCha': listCha})
defaultDevices = {}
for dev in range(len(inputDevices)):
if inputDevices[dev]['id'] == sd.default.device[0]:
defaultDevices['in'] = inputDevices[dev]
for dev in range(len(outputDevices)):
if outputDevices[dev]['id'] == sd.default.device[1]:
defaultDevices['out'] = outputDevices[dev]
return inputDevices, outputDevices, defaultDevices
def _setTabProjects(self):
if not os.path.isdir(self.newParams['pathProject']):
if os.path.isdir(os.path.expanduser("~/Desktop")):
self.newParams['pathProject'] = os.path.expanduser("~/Desktop")
else:
self.newParams['pathProject'] = os.getcwd()
self.disp_ProjectsFolder.setText(self.newParams['pathProject'])
self.disp_CurrentProject.setText(self.newParams['currentProject'])
os.chdir(self.newParams['pathProject'])
self.allProjects = os.listdir(".")
if self.newParams['saveRawData']:
self.onSaveData.setChecked(True)
else:
self.onSaveData.setChecked(False)
self.onSaveData.toggled.connect(self._setSaveData)
self.btnChangeProject.clicked.connect(self._setPathProject)
self.btnCreate.setEnabled(False)
self.minStr = ["q", "w", "e", "r", "t", "y", "u", "i", "o", "p",\
"a", "s", "d", "f", "g", "h", "j", "k", "l", "ç",\
"z", "x", "c", "v", "b", "n", "m"]
self.maiStr = list(map(str.upper, self.minStr))
self.upper = False
self.vk_a.clicked.connect(self.vk_aAction)
self.vk_b.clicked.connect(self.vk_bAction)
self.vk_c.clicked.connect(self.vk_cAction)
self.vk_d.clicked.connect(self.vk_dAction)
self.vk_e.clicked.connect(self.vk_eAction)
self.vk_f.clicked.connect(self.vk_fAction)
self.vk_g.clicked.connect(self.vk_gAction)
self.vk_h.clicked.connect(self.vk_hAction)
self.vk_i.clicked.connect(self.vk_iAction)
self.vk_j.clicked.connect(self.vk_jAction)
self.vk_k.clicked.connect(self.vk_kAction)
self.vk_l.clicked.connect(self.vk_lAction)
self.vk_m.clicked.connect(self.vk_mAction)
self.vk_n.clicked.connect(self.vk_nAction)
self.vk_o.clicked.connect(self.vk_oAction)
self.vk_p.clicked.connect(self.vk_pAction)
self.vk_q.clicked.connect(self.vk_qAction)
self.vk_r.clicked.connect(self.vk_rAction)
self.vk_s.clicked.connect(self.vk_sAction)
self.vk_t.clicked.connect(self.vk_tAction)
self.vk_u.clicked.connect(self.vk_uAction)
self.vk_v.clicked.connect(self.vk_vAction)
self.vk_w.clicked.connect(self.vk_wAction)
self.vk_x.clicked.connect(self.vk_xAction)
self.vk_y.clicked.connect(self.vk_yAction)
self.vk_z.clicked.connect(self.vk_zAction)
self.vk_0.clicked.connect(self.vk_0Action)
self.vk_1.clicked.connect(self.vk_1Action)
self.vk_2.clicked.connect(self.vk_2Action)
self.vk_3.clicked.connect(self.vk_3Action)
self.vk_4.clicked.connect(self.vk_4Action)
self.vk_5.clicked.connect(self.vk_5Action)
self.vk_6.clicked.connect(self.vk_6Action)
self.vk_7.clicked.connect(self.vk_7Action)
self.vk_8.clicked.connect(self.vk_8Action)
self.vk_9.clicked.connect(self.vk_9Action)
self.vk_underscore.clicked.connect(self.vk_underscoreAction)
self.delAll.clicked.connect(self.delAllAction)
self.capsLock.clicked.connect(self.btncapsLock)
self.space.clicked.connect(self.spaceAction)
self.backspace.clicked.connect(self.backspaceAction)
self.btnCancel.clicked.connect(self.btnCancel_Action)
self.btnCreate.clicked.connect(self.btnCreate_Action)
self.changedParams()
return
def btnCancel_Action(self):
self.delAllAction()
return
def btnCreate_Action(self):
if not os.path.isdir(os.path.join(self.newParams['pathProject'], self.entryProjectname.toPlainText())):
self.newParams['currentProject'] = self.entryProjectname.toPlainText()
os.mkdir(os.path.join(self.newParams['pathProject'], self.entryProjectname.toPlainText()))
else:
pass
self.disp_ProjectsFolder.setText(self.newParams['pathProject'])
self.disp_CurrentProject.setText(self.newParams['currentProject'])
self.delAllAction()
return
def _checkVirtualKeyboard(self):
if self.entryProjectname.toPlainText() == "":
self.btnCreate.setEnabled(False)
elif self.entryProjectname.toPlainText() in self.allProjects:
self.btnCreate.setEnabled(False)
else:
self.btnCreate.setEnabled(True)
return
def btncapsLock(self):
self.upper = not self.upper
if self.upper:
self.vk_q.setText(self.maiStr[0])
self.vk_w.setText(self.maiStr[1])
self.vk_e.setText(self.maiStr[2])
self.vk_r.setText(self.maiStr[3])
self.vk_t.setText(self.maiStr[4])
self.vk_y.setText(self.maiStr[5])
self.vk_u.setText(self.maiStr[6])
self.vk_i.setText(self.maiStr[7])
self.vk_o.setText(self.maiStr[8])
self.vk_p.setText(self.maiStr[9])
self.vk_a.setText(self.maiStr[10])
self.vk_s.setText(self.maiStr[11])
self.vk_d.setText(self.maiStr[12])
self.vk_f.setText(self.maiStr[13])
self.vk_g.setText(self.maiStr[14])
self.vk_h.setText(self.maiStr[15])
self.vk_j.setText(self.maiStr[16])
self.vk_k.setText(self.maiStr[17])
self.vk_l.setText(self.maiStr[18])
self.vk_z.setText(self.maiStr[20])
self.vk_x.setText(self.maiStr[21])
self.vk_c.setText(self.maiStr[22])
self.vk_v.setText(self.maiStr[23])
self.vk_b.setText(self.maiStr[24])
self.vk_n.setText(self.maiStr[25])
self.vk_m.setText(self.maiStr[26])
else:
self.vk_q.setText(self.minStr[0])
self.vk_w.setText(self.minStr[1])
self.vk_e.setText(self.minStr[2])
self.vk_r.setText(self.minStr[3])
self.vk_t.setText(self.minStr[4])
self.vk_y.setText(self.minStr[5])
self.vk_u.setText(self.minStr[6])
self.vk_i.setText(self.minStr[7])
self.vk_o.setText(self.minStr[8])
self.vk_p.setText(self.minStr[9])
self.vk_a.setText(self.minStr[10])
self.vk_s.setText(self.minStr[11])
self.vk_d.setText(self.minStr[12])
self.vk_f.setText(self.minStr[13])
self.vk_g.setText(self.minStr[14])
self.vk_h.setText(self.minStr[15])
self.vk_j.setText(self.minStr[16])
self.vk_k.setText(self.minStr[17])
self.vk_l.setText(self.minStr[18])
self.vk_z.setText(self.minStr[20])
self.vk_x.setText(self.minStr[21])
self.vk_c.setText(self.minStr[22])
self.vk_v.setText(self.minStr[23])
self.vk_b.setText(self.minStr[24])
self.vk_n.setText(self.minStr[25])
self.vk_m.setText(self.minStr[26])
self._checkVirtualKeyboard()
return
def vk_aAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_a.text())
self._checkVirtualKeyboard()
return
def vk_bAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_b.text())
self._checkVirtualKeyboard()
return
def vk_cAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_c.text())
self._checkVirtualKeyboard()
return
def vk_dAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_d.text())
self._checkVirtualKeyboard()
return
def vk_eAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_e.text())
self._checkVirtualKeyboard()
return
def vk_fAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_f.text())
self._checkVirtualKeyboard()
return
def vk_gAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_g.text())
self._checkVirtualKeyboard()
return
def vk_hAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_h.text())
self._checkVirtualKeyboard()
return
def vk_iAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_i.text())
self._checkVirtualKeyboard()
return
def vk_jAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_j.text())
self._checkVirtualKeyboard()
return
def vk_kAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_k.text())
self._checkVirtualKeyboard()
return
def vk_lAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_l.text())
self._checkVirtualKeyboard()
return
def vk_mAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_m.text())
self._checkVirtualKeyboard()
return
def vk_nAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_n.text())
self._checkVirtualKeyboard()
return
def vk_oAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_o.text())
self._checkVirtualKeyboard()
return
def vk_pAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_p.text())
self._checkVirtualKeyboard()
return
def vk_qAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_q.text())
self._checkVirtualKeyboard()
return
def vk_rAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_r.text())
self._checkVirtualKeyboard()
return
def vk_sAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_s.text())
self._checkVirtualKeyboard()
return
def vk_tAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_t.text())
self._checkVirtualKeyboard()
return
def vk_uAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_u.text())
self._checkVirtualKeyboard()
return
def vk_vAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_v.text())
self._checkVirtualKeyboard()
return
def vk_wAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_w.text())
self._checkVirtualKeyboard()
return
def vk_xAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_x.text())
self._checkVirtualKeyboard()
return
def vk_yAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_y.text())
self._checkVirtualKeyboard()
return
def vk_zAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_z.text())
self._checkVirtualKeyboard()
return
def spaceAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + ' ')
self._checkVirtualKeyboard()
return
def backspaceAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText()[:-1])
self._checkVirtualKeyboard()
return
def vk_0Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_0.text())
self._checkVirtualKeyboard()
return
def vk_1Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_1.text())
self._checkVirtualKeyboard()
return
def vk_2Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_2.text())
self._checkVirtualKeyboard()
return
def vk_3Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_3.text())
self._checkVirtualKeyboard()
return
def vk_4Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_4.text())
self._checkVirtualKeyboard()
return
def vk_5Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_5.text())
self._checkVirtualKeyboard()
return
def vk_6Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_6.text())
self._checkVirtualKeyboard()
return
def vk_7Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_7.text())
self._checkVirtualKeyboard()
return
def vk_8Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_8.text())
self._checkVirtualKeyboard()
return
def vk_9Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_9.text())
self._checkVirtualKeyboard()
return
def vk_underscoreAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + '_')
self._checkVirtualKeyboard()
return
def delAllAction(self):
self.entryProjectname.setText('')
self._checkVirtualKeyboard()
return
def _setPathProject(self):
if os.path.isdir(self.newParams['pathProject']):
pathDefault = self.newParams['pathProject']
elif os.path.isdir(os.path.expanduser("~/Desktop")):
pathDefault = os.path.expanduser("~/Desktop")
else:
pathDefault = os.getcwd()
path = str(QtWidgets.QFileDialog.getExistingDirectory(self, "Select Directory", pathDefault))
if sys.platform == 'win32' or sys.platform == 'win64':
path = path.replace('/', '\\')
projectFolder, currentProject = os.path.split(path)
self.newParams['pathProject'] = projectFolder
self.newParams['currentProject'] = currentProject
self.disp_ProjectsFolder.setText(projectFolder)
self.disp_CurrentProject.setText(currentProject)
self.changedParams()
return
def _setSaveData(self):
if self.onSaveData.isChecked():
self.newParams['saveRawData'] = True
else:
self.newParams['saveRawData'] = False
self.changedParams()
return
class setSetup2(QtWidgets.QDialog, pyslm.guiSetup2):
def __init__(self, parent=None):
super(setSetup2, self).__init__(parent)
self.setupUi(self)
self.restore = False
self.newParams = pyslm.parameters.load()
self.currentParams = pyslm.parameters.load()
self._setTabMeasurement()
self._setTabCalibration()
self._setTabProjects()
self._setTabSpectrumCorretion()
self._setTabDevice()
self.changedParams()
self.btnClose.clicked.connect(self.btnClose_Action)
self.btnApply.clicked.connect(self.btnApply_Action)
self.btnRestore.clicked.connect(self.btnRestore_Action)
def _restore(self):
self.newParams = self.currentParams.copy()
self._setTabMeasurement()
self._setTabCalibration()
self._setTabProjects()
self._setTabSpectrumCorretion()
self._setTabDevice()
self.changedParams()
return
def _setTabMeasurement(self):
# Set items Hours
for h in range(24):
self.inHour.addItem("")
self.inHour.setItemText(h, '%02dh'%h)
# Set items Minutes and Seconds
for m in range(60):
self.inMin.addItem("")
self.inSec.addItem("")
self.inMin.setItemText(m, '%02dm'%m)
self.inSec.setItemText(m, '%02ds'%m)
# Set frequency weighting
self.inFreqWeighting.setCurrentText(self.newParams['fweighting'])
# Set time weighting
TimeWeighting = {0.035: 'Impulse', 0.125: 'Fast', 1.0: 'Slow'}
self.inTimeWeighting.setCurrentText(TimeWeighting[self.newParams['tau']])
# Set duration
h, m, s = self.seconds2HMN(self.newParams['duration'])
self.inHour.setCurrentText(h)
self.inMin.setCurrentText(m)
self.inSec.setCurrentText(s)
# Set connections
self.inHour.currentTextChanged.connect(self._setDuration)
self.inMin.currentTextChanged.connect(self._setDuration)
self.inSec.currentTextChanged.connect(self._setDuration)
self.inFreqWeighting.currentTextChanged.connect(self._setFreqWeighting)
self.inTimeWeighting.currentTextChanged.connect(self._setTimeWeighting)
def _setTabCalibration(self):
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
self.lbl_pleaseWait.setText('')
self.btnAccept.setEnabled(False)
self.btnDecline.setEnabled(False)
# Set reference sound pressure
self.inPressureRef.setCurrentText('%02d dB'%self.newParams['pCalib'])
# Set reference frequency
self.inFrequencyRef.setCurrentText('%d Hz'%self.newParams['fCalib'])
# Set current correction factor
self.val_CurrentCorrFactor.setText('%.2f dB'%self.newParams['corrFactor'])
# Set current sensitivity
self.val_CurrentSensitivity.setText('%.2f mV/Pa'%self.newParams['sensitivity'])
self.inPressureRef.currentTextChanged.connect(self._setPressureRef)
self.inFrequencyRef.currentIndexChanged.connect(self._setFrequencyRef)
self.btnCalibrate.clicked.connect(self.btnCalibrate_Action)
self.btnAccept.clicked.connect(self.btnAccept_Action)
self.btnDecline.clicked.connect(self.btnDecline_Action)
def _setTabSpectrumCorretion(self):
if self.currentParams['micCorrFile'] != None:
_, file_name = os.path.split(self.currentParams['micCorrFile'])
self.disp_CurrentMicFile.setText(file_name)
if self.currentParams['applyMicCorr']:
self.onMicCorr.setChecked(True)
else:
self.onMicCorr.setChecked(False)
else:
self.disp_CurrentMicFile.setText('No microphone calibration files defined')
self.onMicCorr.setEnabled(False)
self.onMicCorr.setChecked(False)
if self.currentParams['adcCorrFile'] != None:
_, file_name = os.path.split(self.currentParams['adcCorrFile'])
self.disp_CurrentADCFile.setText(file_name)
if self.currentParams['applyAdcCorr']:
self.onADCCorr.setChecked(True)
else:
self.onADCCorr.setChecked(False)
else:
self.disp_CurrentADCFile.setText('No ADC calibration file defined')
self.onADCCorr.setEnabled(False)
self.onADCCorr.setChecked(False)
# Set connections
self.btnLoadMicFile.clicked.connect(self._openMicFile)
self.btnLoadADCFile.clicked.connect(self._openAdcFile)
self.onMicCorr.clicked.connect(self._setOnMicCorr)
self.onADCCorr.clicked.connect(self._setOnADCCorr)
return
def _openMicFile(self):
try:
file = str(QtWidgets.QFileDialog.getOpenFileName(self, "Select microphone calibration file", "", "*.txt"))
if file == "('', '')":
Exception
else:
pass
if sys.platform == 'win32' or sys.platform == 'win64':
file = file.replace('/', '\\')
file = file[1:].replace(", '*.txt')", "").replace("'", "")
_, file_name = os.path.split(file)
# print("Path: {}\nFile: {}\n".format(folder, file_name))
micData = np.loadtxt(fname=file)
self.newParams['micCorrFile'] = file
self.newParams['micCorr'] = micData
self.onMicCorr.setEnabled(True)
self.disp_CurrentMicFile.setText(file_name)
self.changedParams()
except:
self.disp_CurrentMicFile.setText('No microphone calibration files defined')
return
def _openAdcFile(self):
try:
file = str(QtWidgets.QFileDialog.getOpenFileName(self, "Select ADC calibration file", "", "*.txt"))
if file == "('', '')":
Exception
else:
pass
if sys.platform == 'win32' or sys.platform == 'win64':
file = file.replace('/', '\\')
file = file[1:].replace(", '*.txt')", "").replace("'", "")
_, file_name = os.path.split(file)
# print("Path: {}\nFile: {}\n".format(folder, file_name))
micADC = np.loadtxt(fname=file)
self.newParams['adcCorrFile'] = file
self.newParams['adcCorr'] = micADC
self.onADCCorr.setEnabled(True)
self.disp_CurrentADCFile.setText(file_name)
self.changedParams()
except:
self.disp_CurrentADCFile.setText('No ADC calibration file defined')
return
def _setOnMicCorr(self):
if self.onMicCorr.isChecked():
self.newParams['applyMicCorr'] = True
else:
self.newParams['applyMicCorr'] = False
self.changedParams()
return
def _setOnADCCorr(self):
if self.onADCCorr.isChecked():
self.newParams['applyAdcCorr'] = True
else:
self.newParams['applyAdcCorr'] = False
self.changedParams()
return
def _setTabDevice(self):
self._listParamsTabDevice()
self.listInDevices.currentIndexChanged.connect(self._setInputDevice)
self.inChannels.currentIndexChanged.connect(self._setInChannels)
self.listSampleRate.currentIndexChanged.connect(self._setSampleRate)
return
def _setInputDevice(self):
self.inChannels.clear()
self.listSampleRate.clear()
# Query devices
inputDevices, outputDevices, _ = self._setDevices()
d = [inputDevices[self.listInDevices.currentIndex()]['id'],
outputDevices[self.listOutDevices.currentIndex()]['id']]
self.newParams['device'], self.newParams['fs'] = \
self._checkParamsDevice(d, self.newParams['fs'])
# List and set input channels
for inCh in range(len(inputDevices[self.listInDevices.currentIndex()]['listCha'])):
self.inChannels.addItem("")
self.inChannels.setItemText(inCh, str(inCh+1))
self.inChannels.setCurrentText(str(self.newParams['inCh'][0]))
# List sample rate
for fs in range(len(inputDevices[self.listInDevices.currentIndex()]['fs_list'])):
self.listSampleRate.addItem("")
self.listSampleRate.setItemText(fs, '%d Hz'%inputDevices[self.listInDevices.currentIndex()]['fs_list'][fs])
# Set sample rate
self.listSampleRate.setCurrentText('%d Hz'%self.newParams['fs'])
self.changedParams()
return
def _setInChannels(self):
if self.inChannels.count() > 0:
self.newParams['inCh'] = [self.inChannels.currentIndex()+1]
self.changedParams()
else:
pass
return
def _setSampleRate(self):
if self.listSampleRate.count() > 0:
if self.listSampleRate.currentText() != '':
self.newParams['fs'] = int(self.listSampleRate.currentText().replace(' Hz', ''))
self.changedParams()
else:
pass
return
def _setPressureRef(self):
self.newParams['pCalib'] = int(self.inPressureRef.currentText().replace(' dB', ''))
self.changedParams()
return
def _setFrequencyRef(self):
self.newParams['fCalib'] = int(self.inFrequencyRef.currentText().replace(' Hz', ''))
self.changedParams()
return
def _setDuration(self):
hour = int(self.inHour.currentText().replace('h', ''))
minute = int(self.inMin.currentText().replace('m', ''))
second = int(self.inSec.currentText().replace('s', ''))
duration = 3600*hour + 60*minute + second
if duration < 15:
duration = 15
self.inSec.setCurrentText('15s')
else:
pass
self.newParams['duration'] = duration
self.changedParams()
return
def _setFreqWeighting(self):
self.newParams['fweighting'] = self.inFreqWeighting.currentText()
self.changedParams()
return
def _setTimeWeighting(self):
TimeWeighting = {'Impulse': 0.035, 'Fast': 0.125, 'Slow': 1.0}
self.newParams['tau'] = TimeWeighting[self.inTimeWeighting.currentText()]
self.changedParams()
return
def changedParams(self):
changes = []
for key in self.newParams.keys():
if not type(self.newParams[key]) is np.ndarray:
if self.newParams[key] == self.currentParams[key]:
changes.append(True)
else:
changes.append(False)
elif type(self.newParams[key]) == np.ndarray:
if np.array_equal(a1=self.newParams[key], a2=self.currentParams[key]):
changes.append(True)
else:
changes.append(False)
else:
pass
if not False in changes:
self.btnApply.setEnabled(False)
self.btnApply.setText('Apply')
self.btnRestore.setEnabled(False)
else:
self.btnApply.setEnabled(True)
self.btnApply.setText('Apply*')
self.btnRestore.setEnabled(True)
return
def btnCalibrate_Action(self):
self.btnCalibrate.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnDecline.setEnabled(False)
self.stream_calibration = pyslm.StreamManager(version = 'DataLogger',
path = os.path.join(self.currentParams['pathProject'], self.currentParams['currentProject']),
device=self.currentParams['device'],
fs=self.currentParams['fs'],
inCh=self.currentParams['inCh'],
tau=1.0,
fweighting=self.currentParams['fweighting'],
duration=10,
template='calibration',
fCalib=self.currentParams['fCalib'],
pCalib=self.currentParams['pCalib'],
calibFactor=self.currentParams['calibFactor'],
micCorr=self.currentParams['micCorr'],
applyMicCorr=self.currentParams['applyMicCorr'],
adcCorr=self.currentParams['adcCorr'],
applyAdcCorr=self.currentParams['applyAdcCorr'],
saveRawData=self.currentParams['saveRawData'])
self.stream_calibration.play()
self.stream_calibration.realtime_data.connect(self.updateCalibrate)
self.stream_calibration.fullresults_data.connect(self.fullCalibrate)
return
@QtCore.pyqtSlot(dict)
def updateCalibrate(self, results):
SPLmax = results['SPLmax']
freqmax = results['freqmax']
framesRead = self.stream_calibration.framesRead
countdown = int(self.stream_calibration.duration - framesRead/self.stream_calibration.fs)
if countdown > 0:
self.lbl_pleaseWait.setText('Performing calibration, please wait %02ds'%countdown)
self.lbl_NewCorrFactor.setText('%.02f dB'%SPLmax)
self.lbl_NewSensitivity.setText('at %.01f Hz'%freqmax)
else:
pass
return
@QtCore.pyqtSlot(dict)
def fullCalibrate(self, results):
self.lbl_pleaseWait.setText('Performing calibration, please wait 00s')
self.sensitivity = results['sensitivity']
self.correction = results['correction']
self.FC = results['FC']
self.lbl_NewCorrFactor.setText('New correction factor: %.02f dB'%self.correction)
self.lbl_NewSensitivity.setText('New sensitivity: %.02f mV/Pa'%self.sensitivity)
self.btnAccept.setEnabled(True)
self.btnDecline.setEnabled(True)
def btnAccept_Action(self):
self.currentParams['corrFactor'] = self.correction
self.currentParams['sensitivity'] = self.sensitivity
self.currentParams['calibFactor'] = self.FC
self.newParams['corrFactor'] = self.correction
self.newParams['sensitivity'] = self.sensitivity
self.newParams['calibFactor'] = self.FC
self.val_CurrentCorrFactor.setText('%.2f dB'%self.newParams['corrFactor'])
self.val_CurrentSensitivity.setText('%.2f mV/Pa'%self.newParams['sensitivity'])
pyslm.parameters.update(self.currentParams)
self.changedParams()
self.lbl_pleaseWait.setText('')
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
self.btnDecline.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnCalibrate.setEnabled(True)
return
def btnDecline_Action(self):
self.changedParams()
self.lbl_pleaseWait.setText('')
self.lbl_NewCorrFactor.setText('')
self.lbl_NewSensitivity.setText('')
self.btnDecline.setEnabled(False)
self.btnAccept.setEnabled(False)
self.btnCalibrate.setEnabled(True)
return
def btnClose_Action(self):
# os.chdir(path_main)
self.close()
return
def btnApply_Action(self):
self.currentParams = self.newParams.copy()
self.changedParams()
pyslm.parameters.update(self.currentParams)
return
def btnRestore_Action(self):
self.restore = True
self._restore()
self.restore = False
return
def seconds2HMN(self, seconds):
M, S = divmod(seconds, 60)
H, M = divmod(M, 60)
# return "%02d:%02d:%02d" % (H, M, S)
return '%02dh'%H, '%02dm'%M, '%02ds'%S
def _listParamsTabDevice(self):
# Query devices
inputDevices, _, _ = self._setDevices()
sd_devices = sd.query_devices()
self.newParams['device'], self.newParams['fs'] = \
self._checkParamsDevice(self.newParams['device'], self.newParams['fs'])
# List input devices
for dev in range(len(inputDevices)):
self.listInDevices.addItem("")
self.listInDevices.setItemText(dev, inputDevices[dev]['name'])
# Set input device
self.listInDevices.setCurrentText(sd_devices[self.newParams['device'][0]]['name'])
# List and set input channels
for inCh in range(len(inputDevices[self.listInDevices.currentIndex()]['listCha'])):
self.inChannels.addItem("")
self.inChannels.setItemText(inCh, str(inCh+1))
self.inChannels.setCurrentText(str(self.newParams['inCh'][0]))
# List sample rate
for fs in range(len(inputDevices[self.listInDevices.currentIndex()]['fs_list'])):
self.listSampleRate.addItem("")
self.listSampleRate.setItemText(fs, '%d Hz'%inputDevices[self.listInDevices.currentIndex()]['fs_list'][fs])
# Set sample rate
self.listSampleRate.setCurrentText('%d Hz'%self.newParams['fs'])
return
def _checkParamsDevice(self, device, fs):
# Check input parameters
inputDevice = device[0]
outputDevice = device[1]
try:
sd.check_input_settings(device=inputDevice, samplerate=fs)
except:
sd_devices = sd.query_devices()
inputDevice = sd.default.device[0]
fs = int(sd_devices[sd.default.device[0]]['default_samplerate'])
else:
pass
return [inputDevice, outputDevice], fs
def _setDevices(self):
sd_devices = sd.query_devices()
def supportedFs(device, kind):
samplerates = [44100, 48000, 96000, 128000]
supported_samplerates = []
for fs in samplerates:
try:
if kind == 'in':
sd.check_input_settings(device=device, samplerate=fs)
else:
sd.check_output_settings(device=device, samplerate=fs)
except:
pass
else:
supported_samplerates.append(fs)
return supported_samplerates
def supportedCha(device, kind, numCha):
supported_channels = []
for ch in range(numCha+1):
try:
if kind == 'in':
sd.check_input_settings(device=device, channels=ch)
else:
sd.check_output_settings(device=device, channels=ch)
except:
pass
else:
supported_channels.append(ch)
return supported_channels
inputDevices = []
outputDevices = []
for dev in range(len(sd_devices)):
if sd_devices[dev]['max_input_channels'] > 0:
listFs = supportedFs(dev, 'in')
listCha = supportedCha(dev, 'in', sd_devices[dev]['max_input_channels'])
inputDevices.append({'name': sd_devices[dev]['name'],
'numCha': sd_devices[dev]['max_input_channels'],
'id': dev,
'fs_default': sd_devices[dev]['default_samplerate'],
'fs_list': listFs,
'listCha': listCha})
if sd_devices[dev]['max_output_channels'] > 0:
listFs = supportedFs(dev, 'out')
listCha = supportedCha(dev, 'out', sd_devices[dev]['max_output_channels'])
outputDevices.append({'name': sd_devices[dev]['name'],
'numCha': sd_devices[dev]['max_output_channels'],
'id': dev,
'fs_default': sd_devices[dev]['default_samplerate'],
'fs_list': listFs,
'listCha': listCha})
defaultDevices = {}
for dev in range(len(inputDevices)):
if inputDevices[dev]['id'] == sd.default.device[0]:
defaultDevices['in'] = inputDevices[dev]
for dev in range(len(outputDevices)):
if outputDevices[dev]['id'] == sd.default.device[1]:
defaultDevices['out'] = outputDevices[dev]
return inputDevices, outputDevices, defaultDevices
def _setPathProject(self):
if os.path.isdir(self.newParams['pathProject']):
pathDefault = self.newParams['pathProject']
elif os.path.isdir(os.path.expanduser("~/Desktop")):
pathDefault = os.path.expanduser("~/Desktop")
else:
pathDefault = os.getcwd()
path = str(QtWidgets.QFileDialog.getExistingDirectory(self, "Select Directory", pathDefault))
if sys.platform == 'win32' or sys.platform == 'win64':
path = path.replace('/', '\\')
projectFolder, currentProject = os.path.split(path)
self.newParams['pathProject'] = projectFolder
self.newParams['currentProject'] = currentProject
self.disp_ProjectsFolder.setText(projectFolder)
self.disp_CurrentProject.setText(currentProject)
self.changedParams()
return
def _setSaveData(self):
if self.onSaveData.isChecked():
self.newParams['saveRawData'] = True
else:
self.newParams['saveRawData'] = False
self.changedParams()
return
def _setTabProjects(self):
if not os.path.isdir(self.newParams['pathProject']):
if os.path.isdir(os.path.expanduser("~/Desktop")):
self.newParams['pathProject'] = os.path.expanduser("~/Desktop")
else:
self.newParams['pathProject'] = os.getcwd()
self.disp_ProjectsFolder.setText(self.newParams['pathProject'])
self.disp_CurrentProject.setText(self.newParams['currentProject'])
os.chdir(self.newParams['pathProject'])
self.allProjects = os.listdir(".")
if self.newParams['saveRawData']:
self.onSaveData.setChecked(True)
else:
self.onSaveData.setChecked(False)
self.onSaveData.toggled.connect(self._setSaveData)
self.btnChangeProject.clicked.connect(self._setPathProject)
self.btnNewProject.clicked.connect(self.btnNewProject_Action)
return
def btnNewProject_Action(self):
self.btnNewProject.setEnabled(False)
dlgNewProject = VirtualKeyBoard(self.newParams['pathProject'], self.newParams['currentProject'], self.allProjects)
dlgNewProject.exec_()
if not dlgNewProject.isActiveWindow():
self.newParams['currentProject'] = dlgNewProject.currentProject
self.newParams['pathProject'] = dlgNewProject.pathProject
self.disp_ProjectsFolder.setText(self.newParams['pathProject'])
self.disp_CurrentProject.setText(self.newParams['currentProject'])
self.btnNewProject.setEnabled(True)
self.changedParams()
return
class VirtualKeyBoard(QtWidgets.QDialog, pyslm.guiKeyboard):
def __init__(self, pathProject: str, currentProject: str, allProjects: list, parent=None):
super(VirtualKeyBoard, self).__init__(parent)
self.setupUi(self)
self.pathProject = pathProject
self.currentProject = currentProject
self.allProjects = allProjects
self.btnCreate.setEnabled(False)
self.minStr = ["q", "w", "e", "r", "t", "y", "u", "i", "o", "p",\
"a", "s", "d", "f", "g", "h", "j", "k", "l", "ç",\
"z", "x", "c", "v", "b", "n", "m"]
self.maiStr = list(map(str.upper, self.minStr))
self.upper = False
self.vk_a.clicked.connect(self.vk_aAction)
self.vk_b.clicked.connect(self.vk_bAction)
self.vk_c.clicked.connect(self.vk_cAction)
self.vk_d.clicked.connect(self.vk_dAction)
self.vk_e.clicked.connect(self.vk_eAction)
self.vk_f.clicked.connect(self.vk_fAction)
self.vk_g.clicked.connect(self.vk_gAction)
self.vk_h.clicked.connect(self.vk_hAction)
self.vk_i.clicked.connect(self.vk_iAction)
self.vk_j.clicked.connect(self.vk_jAction)
self.vk_k.clicked.connect(self.vk_kAction)
self.vk_l.clicked.connect(self.vk_lAction)
self.vk_m.clicked.connect(self.vk_mAction)
self.vk_n.clicked.connect(self.vk_nAction)
self.vk_o.clicked.connect(self.vk_oAction)
self.vk_p.clicked.connect(self.vk_pAction)
self.vk_q.clicked.connect(self.vk_qAction)
self.vk_r.clicked.connect(self.vk_rAction)
self.vk_s.clicked.connect(self.vk_sAction)
self.vk_t.clicked.connect(self.vk_tAction)
self.vk_u.clicked.connect(self.vk_uAction)
self.vk_v.clicked.connect(self.vk_vAction)
self.vk_w.clicked.connect(self.vk_wAction)
self.vk_x.clicked.connect(self.vk_xAction)
self.vk_y.clicked.connect(self.vk_yAction)
self.vk_z.clicked.connect(self.vk_zAction)
self.vk_0.clicked.connect(self.vk_0Action)
self.vk_1.clicked.connect(self.vk_1Action)
self.vk_2.clicked.connect(self.vk_2Action)
self.vk_3.clicked.connect(self.vk_3Action)
self.vk_4.clicked.connect(self.vk_4Action)
self.vk_5.clicked.connect(self.vk_5Action)
self.vk_6.clicked.connect(self.vk_6Action)
self.vk_7.clicked.connect(self.vk_7Action)
self.vk_8.clicked.connect(self.vk_8Action)
self.vk_9.clicked.connect(self.vk_9Action)
self.vk_underscore.clicked.connect(self.vk_underscoreAction)
self.delAll.clicked.connect(self.delAllAction)
self.capsLock.clicked.connect(self.btncapsLock)
self.space.clicked.connect(self.spaceAction)
self.backspace.clicked.connect(self.backspaceAction)
self.btnCancel.clicked.connect(self.btnCancel_Action)
self.btnCreate.clicked.connect(self.btnCreate_Action)
return
def btnCancel_Action(self):
self.delAllAction()
return
def btnCreate_Action(self):
if not os.path.isdir(os.path.join(self.pathProject, self.entryProjectname.toPlainText())):
self.currentProject = self.entryProjectname.toPlainText()
os.mkdir(os.path.join(self.pathProject, self.entryProjectname.toPlainText()))
else:
pass
self.delAllAction()
self.close()
return
def _checkVirtualKeyboard(self):
if self.entryProjectname.toPlainText() == "":
self.btnCreate.setEnabled(False)
elif self.entryProjectname.toPlainText() in self.allProjects:
self.btnCreate.setEnabled(False)
else:
self.btnCreate.setEnabled(True)
return
def btncapsLock(self):
self.upper = not self.upper
if self.upper:
self.vk_q.setText(self.maiStr[0])
self.vk_w.setText(self.maiStr[1])
self.vk_e.setText(self.maiStr[2])
self.vk_r.setText(self.maiStr[3])
self.vk_t.setText(self.maiStr[4])
self.vk_y.setText(self.maiStr[5])
self.vk_u.setText(self.maiStr[6])
self.vk_i.setText(self.maiStr[7])
self.vk_o.setText(self.maiStr[8])
self.vk_p.setText(self.maiStr[9])
self.vk_a.setText(self.maiStr[10])
self.vk_s.setText(self.maiStr[11])
self.vk_d.setText(self.maiStr[12])
self.vk_f.setText(self.maiStr[13])
self.vk_g.setText(self.maiStr[14])
self.vk_h.setText(self.maiStr[15])
self.vk_j.setText(self.maiStr[16])
self.vk_k.setText(self.maiStr[17])
self.vk_l.setText(self.maiStr[18])
self.vk_z.setText(self.maiStr[20])
self.vk_x.setText(self.maiStr[21])
self.vk_c.setText(self.maiStr[22])
self.vk_v.setText(self.maiStr[23])
self.vk_b.setText(self.maiStr[24])
self.vk_n.setText(self.maiStr[25])
self.vk_m.setText(self.maiStr[26])
else:
self.vk_q.setText(self.minStr[0])
self.vk_w.setText(self.minStr[1])
self.vk_e.setText(self.minStr[2])
self.vk_r.setText(self.minStr[3])
self.vk_t.setText(self.minStr[4])
self.vk_y.setText(self.minStr[5])
self.vk_u.setText(self.minStr[6])
self.vk_i.setText(self.minStr[7])
self.vk_o.setText(self.minStr[8])
self.vk_p.setText(self.minStr[9])
self.vk_a.setText(self.minStr[10])
self.vk_s.setText(self.minStr[11])
self.vk_d.setText(self.minStr[12])
self.vk_f.setText(self.minStr[13])
self.vk_g.setText(self.minStr[14])
self.vk_h.setText(self.minStr[15])
self.vk_j.setText(self.minStr[16])
self.vk_k.setText(self.minStr[17])
self.vk_l.setText(self.minStr[18])
self.vk_z.setText(self.minStr[20])
self.vk_x.setText(self.minStr[21])
self.vk_c.setText(self.minStr[22])
self.vk_v.setText(self.minStr[23])
self.vk_b.setText(self.minStr[24])
self.vk_n.setText(self.minStr[25])
self.vk_m.setText(self.minStr[26])
self._checkVirtualKeyboard()
return
def vk_aAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_a.text())
self._checkVirtualKeyboard()
return
def vk_bAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_b.text())
self._checkVirtualKeyboard()
return
def vk_cAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_c.text())
self._checkVirtualKeyboard()
return
def vk_dAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_d.text())
self._checkVirtualKeyboard()
return
def vk_eAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_e.text())
self._checkVirtualKeyboard()
return
def vk_fAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_f.text())
self._checkVirtualKeyboard()
return
def vk_gAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_g.text())
self._checkVirtualKeyboard()
return
def vk_hAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_h.text())
self._checkVirtualKeyboard()
return
def vk_iAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_i.text())
self._checkVirtualKeyboard()
return
def vk_jAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_j.text())
self._checkVirtualKeyboard()
return
def vk_kAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_k.text())
self._checkVirtualKeyboard()
return
def vk_lAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_l.text())
self._checkVirtualKeyboard()
return
def vk_mAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_m.text())
self._checkVirtualKeyboard()
return
def vk_nAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_n.text())
self._checkVirtualKeyboard()
return
def vk_oAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_o.text())
self._checkVirtualKeyboard()
return
def vk_pAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_p.text())
self._checkVirtualKeyboard()
return
def vk_qAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_q.text())
self._checkVirtualKeyboard()
return
def vk_rAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_r.text())
self._checkVirtualKeyboard()
return
def vk_sAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_s.text())
self._checkVirtualKeyboard()
return
def vk_tAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_t.text())
self._checkVirtualKeyboard()
return
def vk_uAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_u.text())
self._checkVirtualKeyboard()
return
def vk_vAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_v.text())
self._checkVirtualKeyboard()
return
def vk_wAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_w.text())
self._checkVirtualKeyboard()
return
def vk_xAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_x.text())
self._checkVirtualKeyboard()
return
def vk_yAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_y.text())
self._checkVirtualKeyboard()
return
def vk_zAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_z.text())
self._checkVirtualKeyboard()
return
def spaceAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + ' ')
self._checkVirtualKeyboard()
return
def backspaceAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText()[:-1])
self._checkVirtualKeyboard()
return
def vk_0Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_0.text())
self._checkVirtualKeyboard()
return
def vk_1Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_1.text())
self._checkVirtualKeyboard()
return
def vk_2Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_2.text())
self._checkVirtualKeyboard()
return
def vk_3Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_3.text())
self._checkVirtualKeyboard()
return
def vk_4Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_4.text())
self._checkVirtualKeyboard()
return
def vk_5Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_5.text())
self._checkVirtualKeyboard()
return
def vk_6Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_6.text())
self._checkVirtualKeyboard()
return
def vk_7Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_7.text())
self._checkVirtualKeyboard()
return
def vk_8Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_8.text())
self._checkVirtualKeyboard()
return
def vk_9Action(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + self.vk_9.text())
self._checkVirtualKeyboard()
return
def vk_underscoreAction(self):
self.entryProjectname.setText(self.entryProjectname.toPlainText() + '_')
self._checkVirtualKeyboard()
return
def delAllAction(self):
self.entryProjectname.setText('')
self._checkVirtualKeyboard()
return
#%%
if __name__ == '__main__':
import sys
app = QtWidgets.QApplication(sys.argv)
dlgSetup = setSetup()
# dlgSetup.setWindowFlag(QtCore.Qt.WindowCloseButtonHint, False)
# dlgSetup.setWindowFlag(QtCore.Qt.WindowContextHelpButtonHint, False)
dlgSetup.exec_()
app.exec_()
app.quit()
| 42.215867
| 141
| 0.603896
| 9,063
| 91,524
| 5.989849
| 0.063555
| 0.03581
| 0.036142
| 0.049239
| 0.86094
| 0.842022
| 0.830269
| 0.822496
| 0.809012
| 0.798198
| 0
| 0.014204
| 0.279249
| 91,524
| 2,168
| 142
| 42.215867
| 0.808735
| 0.019525
| 0
| 0.858268
| 0
| 0
| 0.052798
| 0.000424
| 0
| 0
| 0
| 0
| 0
| 1
| 0.092913
| false
| 0.018373
| 0.005249
| 0
| 0.188451
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c418cb23b7ba58f968d556c752dbc71cd9aa9865
| 7,949
|
py
|
Python
|
RVOS/decoder.py
|
yubin1219/Video_Object_Segmentation
|
eb6f817d8775353ff9eb5e288eabba485c8f95e0
|
[
"MIT"
] | null | null | null |
RVOS/decoder.py
|
yubin1219/Video_Object_Segmentation
|
eb6f817d8775353ff9eb5e288eabba485c8f95e0
|
[
"MIT"
] | null | null | null |
RVOS/decoder.py
|
yubin1219/Video_Object_Segmentation
|
eb6f817d8775353ff9eb5e288eabba485c8f95e0
|
[
"MIT"
] | null | null | null |
import torch
import torch.nn as nn
from .clstm import ConvLSTMCell, ConvLSTMCellMask
import torch.nn.functional as f
from torch.autograd import Variable
class RSIS(nn.Module):
"""
The recurrent decoder
"""
def __init__(self, args):
super(RSIS,self).__init__()
self.hidden_size = args.hidden_size
self.kernel_size = args.kernel_size
padding = 0 if self.kernel_size == 1 else 1
self.dropout = args.dropout
self.skip_mode = args.skip_mode
# convlstms have decreasing dimension as width and height increase
skip_dims_out = [self.hidden_size, int(self.hidden_size/2),
int(self.hidden_size/4),int(self.hidden_size/8)]
# initialize layers for each deconv stage
self.clstm_list = nn.ModuleList()
# 4 is the number of deconv steps that we need to reach image size in the output
for i in range(len(skip_dims_out)):
if i == 0:
clstm_in_dim = self.hidden_size
else:
clstm_in_dim = skip_dims_out[i-1]
if self.skip_mode == 'concat':
clstm_in_dim *= 2
clstm_i = ConvLSTMCell(args, clstm_in_dim, skip_dims_out[i],self.kernel_size, padding = padding)
self.clstm_list.append(clstm_i)
self.conv_out = nn.Conv2d(skip_dims_out[-1], 1,self.kernel_size, padding = padding)
# calculate the dimensionality of classification vector
# side class activations are taken from the output of the convlstm
# therefore we need to compute the sum of the dimensionality of outputs
# from all convlstm layers
fc_dim = 0
for sk in skip_dims_out:
fc_dim += sk
def forward(self, skip_feats, prev_state_spatial, prev_hidden_temporal):
clstm_in = skip_feats[0]
skip_feats = skip_feats[1:]
hidden_list = []
for i in range(len(skip_feats)+1):
# hidden states will be initialized the first time forward is called
if prev_state_spatial is None:
if prev_hidden_temporal is None:
state = self.clstm_list[i](clstm_in,None, None)
else:
state = self.clstm_list[i](clstm_in,None, prev_hidden_temporal[i])
else:
# else we take the ones from the previous step for the forward pass
if prev_hidden_temporal is None:
state = self.clstm_list[i](clstm_in, prev_state_spatial[i], None)
else:
state = self.clstm_list[i](clstm_in, prev_state_spatial[i], prev_hidden_temporal[i])
hidden_list.append(state)
hidden = state[0]
if self.dropout > 0:
hidden = nn.Dropout2d(self.dropout)(hidden)
# apply skip connection
if i < len(skip_feats):
skip_vec = skip_feats[i]
upsample = nn.UpsamplingBilinear2d(size = (skip_vec.size()[-2],skip_vec.size()[-1]))
hidden = upsample(hidden)
if self.skip_mode == 'concat':
clstm_in = torch.cat([hidden,skip_vec],1)
elif self.skip_mode == 'sum':
clstm_in = hidden + skip_vec
elif self.skip_mode == 'mul':
clstm_in = hidden*skip_vec
elif self.skip_mode == 'none':
clstm_in = hidden
else:
raise Exception('Skip connection mode not supported !')
else:
self.upsample = nn.UpsamplingBilinear2d(size = (hidden.size()[-2]*2,hidden.size()[-1]*2))
hidden = self.upsample(hidden)
clstm_in = hidden
out_mask = self.conv_out(clstm_in)
# classification branch
return out_mask, hidden_list
class RSISMask(nn.Module):
"""
The recurrent decoder
"""
def __init__(self, args):
super(RSISMask,self).__init__()
self.hidden_size = args.hidden_size
self.kernel_size = args.kernel_size
padding = 0 if self.kernel_size == 1 else 1
self.dropout = args.dropout
self.skip_mode = args.skip_mode
# convlstms have decreasing dimension as width and height increase
skip_dims_out = [self.hidden_size, int(self.hidden_size/2),
int(self.hidden_size/4),int(self.hidden_size/8)]
# initialize layers for each deconv stage
self.clstm_list = nn.ModuleList()
# 4 is the number of deconv steps that we need to reach image size in the output
for i in range(len(skip_dims_out)):
if i == 0:
clstm_in_dim = self.hidden_size
else:
clstm_in_dim = skip_dims_out[i-1]
if self.skip_mode == 'concat':
clstm_in_dim*=2
clstm_i = ConvLSTMCellMask(args, clstm_in_dim, skip_dims_out[i],self.kernel_size, padding = padding)
self.clstm_list.append(clstm_i)
del clstm_i
self.conv_out = nn.Conv2d(skip_dims_out[-1], 1,self.kernel_size, padding = padding)
# calculate the dimensionality of classification vector
# side class activations are taken from the output of the convlstm
# therefore we need to compute the sum of the dimensionality of outputs
# from all convlstm layers
fc_dim = 0
for sk in skip_dims_out:
fc_dim+=sk
def forward(self, skip_feats, prev_mask, prev_state_spatial, prev_hidden_temporal):
clstm_in = skip_feats[0]
skip_feats = skip_feats[1:]
hidden_list = []
for i in range(len(skip_feats)+1):
# hidden states will be initialized the first time forward is called
if prev_state_spatial is None:
if prev_hidden_temporal is None:
state = self.clstm_list[i](clstm_in, prev_mask[i], None, None)
else:
state = self.clstm_list[i](clstm_in, prev_mask[i], None, prev_hidden_temporal[i])
else:
# else we take the ones from the previous step for the forward pass
if prev_hidden_temporal is None:
state = self.clstm_list[i](clstm_in, prev_mask[i], prev_state_spatial[i], None)
else:
state = self.clstm_list[i](clstm_in, prev_mask[i], prev_state_spatial[i], prev_hidden_temporal[i])
#print(prev_hidden_temporal[i].shape)
hidden_list.append(state)
hidden = state[0]
if self.dropout > 0:
hidden = nn.Dropout2d(self.dropout)(hidden)
# apply skip connection
if i < len(skip_feats):
skip_vec = skip_feats[i]
upsample = nn.UpsamplingBilinear2d(size = (skip_vec.size()[-2],skip_vec.size()[-1]))
hidden = upsample(hidden)
if self.skip_mode == 'concat':
clstm_in = torch.cat([hidden,skip_vec],1)
elif self.skip_mode == 'sum':
clstm_in = hidden + skip_vec
elif self.skip_mode == 'mul':
clstm_in = hidden*skip_vec
elif self.skip_mode == 'none':
clstm_in = hidden
else:
raise Exception('Skip connection mode not supported !')
else:
self.upsample = nn.UpsamplingBilinear2d(size = (hidden.size()[-2]*2,hidden.size()[-1]*2))
hidden = self.upsample(hidden)
clstm_in = hidden
del hidden
out_mask = self.conv_out(clstm_in)
del clstm_in, skip_feats
return out_mask, hidden_list
| 38.965686
| 118
| 0.570386
| 999
| 7,949
| 4.316316
| 0.131131
| 0.050325
| 0.038961
| 0.033395
| 0.937848
| 0.92718
| 0.92718
| 0.92718
| 0.90538
| 0.90538
| 0
| 0.011169
| 0.34671
| 7,949
| 203
| 119
| 39.157635
| 0.81918
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| 0
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| 0
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| 0
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| 0
| 0
| null | 0
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c4872336091c7016dba34204ebfd205023178cec
| 23,211
|
py
|
Python
|
mpf/tests/test_Diverter.py
|
pmansukhani/mpf
|
0979965d24bcaba9423b43581c6a18b847b1b900
|
[
"MIT"
] | null | null | null |
mpf/tests/test_Diverter.py
|
pmansukhani/mpf
|
0979965d24bcaba9423b43581c6a18b847b1b900
|
[
"MIT"
] | null | null | null |
mpf/tests/test_Diverter.py
|
pmansukhani/mpf
|
0979965d24bcaba9423b43581c6a18b847b1b900
|
[
"MIT"
] | null | null | null |
from mpf.tests.MpfTestCase import MpfTestCase, test_config
from unittest.mock import MagicMock
class TestDiverter(MpfTestCase):
def getMachinePath(self):
return 'tests/machine_files/diverter/'
def get_platform(self):
return "smart_virtual"
def start_game(self):
# shots only work in games so we have to do this a lot
self.machine.events.post('game_start')
self.advance_time_and_run()
self.machine.game.balls_in_play = 1
self.assertIsNotNone(self.machine.game)
def _block_device(self, queue, **kwargs):
del kwargs
self.queue = queue
queue.wait()
@test_config("only_events_no_coils.yaml")
def test_diverter_with_servo_and_stepper(self):
self.queue = None
diverter = self.machine.diverters["d_test_with_events"]
self.advance_time_and_run(.1)
self.assertEqual(.2, self.machine.servos["s_diverter"].hw_servo.current_position)
self.assertEqual(400, self.machine.steppers["s_diverter"].hw_stepper._current_position)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.assertEqual(.7, self.machine.servos["s_diverter"].hw_servo.current_position)
self.assertEqual(20, self.machine.steppers["s_diverter"].hw_stepper._current_position)
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.assertEqual(.2, self.machine.servos["s_diverter"].hw_servo.current_position)
self.assertEqual(400, self.machine.steppers["s_diverter"].hw_stepper._current_position)
self.hit_switch_and_run("s_ball_switch1", 1)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.assertEqual(.2, self.machine.servos["s_diverter"].hw_servo.current_position)
self.assertEqual(400, self.machine.steppers["s_diverter"].hw_stepper._current_position)
self.advance_time_and_run(4)
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_delayed_eject.yaml")
def test_delayed_eject(self):
self.queue = None
diverter = self.machine.diverters["d_test_delayed_eject"]
self.machine.coils["c_diverter"].enable = MagicMock()
self.machine.coils["c_diverter"].disable = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.events.add_handler("balldevice_test_trough_ball_eject_attempt", self._block_device)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(20)
self.queue.clear()
self.advance_time_and_run(1)
self.machine.events.remove_handler_by_event("balldevice_test_trough_ball_eject_attempt", self._block_device)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.machine.coils["c_diverter"].enable.assert_called_once_with()
self.machine.coils["c_diverter"].enable = MagicMock()
assert not self.machine.coils["c_diverter"].disable.called
self.advance_time_and_run(4)
self.machine.coils["c_diverter"].disable.assert_called_once_with()
assert not self.machine.coils["c_diverter"].enable.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.hit_switch_and_run("s_ball_switch1", 1)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].enable.called
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_hold_activation_time.yaml")
def test_hold_activation_time(self):
diverter = self.machine.diverters["d_test_hold_activation_time"]
self.machine.coils["c_diverter"].enable = MagicMock()
self.machine.coils["c_diverter"].disable = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.machine.coils["c_diverter"].enable.assert_called_once_with()
self.machine.coils["c_diverter"].enable = MagicMock()
assert not self.machine.coils["c_diverter"].disable.called
self.advance_time_and_run(4)
self.machine.coils["c_diverter"].disable.assert_called_once_with()
assert not self.machine.coils["c_diverter"].enable.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.hit_switch_and_run("s_ball_switch1", 1)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].enable.called
@test_config("test_hold_no_activation_time.yaml")
def test_hold_no_activation_time(self):
diverter = self.machine.diverters["d_test_hold"]
self.assertEqual("idle", self.machine.ball_devices["test_trough"]._state)
self.assertEqual("idle", self.machine.ball_devices["test_target"]._state)
self.machine.coils["c_diverter"].enable = MagicMock()
self.machine.coils["c_diverter"].disable = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# test active side
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.machine.coils["c_diverter"].enable.assert_called_once_with()
self.machine.coils["c_diverter"].enable = MagicMock()
assert not self.machine.coils["c_diverter"].disable.called
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].disable.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.machine.coils["c_diverter"].disable.assert_called_once_with()
self.hit_switch_and_run("s_ball_switch1", 1)
# test inactive side
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].enable.called
self.hit_switch_and_run("s_ball_switch1", 1)
@test_config("test_missing_ball_at_source.yaml")
def test_missing_ball_at_source(self):
diverter = self.machine.diverters["d_test"]
trough1 = self.machine.ball_devices["test_trough"]
target = self.machine.ball_devices["test_target"]
self.machine.default_platform.actions[trough1].set_result("missing")
trough1.eject(1, target)
self.advance_time_and_run(1)
self.assertEqual(1, diverter.diverting_ejects_count)
self.advance_time_and_run(100)
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_eject_to_oposide_sides2.yaml")
def test_eject_to_oposide_sides2(self):
diverter = self.machine.diverters["d_test_hold"]
trough1 = self.machine.ball_devices["test_trough"]
trough2 = self.machine.ball_devices["test_trough2"]
playfield = self.machine.playfield
target = self.machine.ball_devices["test_target"]
self.assertEqual(3, trough1.balls)
self.assertEqual(3, trough2.balls)
trough1.eject(1, playfield)
trough2.eject(1, target)
trough1.eject(1, playfield)
trough2.eject(1, playfield)
trough1.eject(1, target)
trough2.eject(1, target)
self.advance_time_and_run(100)
self.assertEqual("idle", trough1._state)
self.assertEqual("idle", trough2._state)
self.assertEqual(0, diverter.diverting_ejects_count)
self.assertEqual(3, playfield.balls)
self.assertEqual(3, target.balls)
self.assertEqual(0, trough1.balls)
self.assertEqual(0, trough2.balls)
@test_config("test_eject_to_oposide_sides.yaml")
def test_eject_to_oposide_sides(self):
diverter = self.machine.diverters["d_test_hold"]
trough1 = self.machine.ball_devices["test_trough"]
trough2 = self.machine.ball_devices["test_trough2"]
playfield = self.machine.playfield
target = self.machine.ball_devices["test_target"]
pulse1 = self.machine.coils["eject_coil1"].pulse
pulse3 = self.machine.coils["eject_coil3"].pulse
self.machine.coils["eject_coil1"].pulse = MagicMock(wraps=pulse1)
self.machine.coils["eject_coil3"].pulse = MagicMock(wraps=pulse3)
# this goes to the active side of the diverter
trough1.eject(1, playfield)
# this goes to the inactive side of the diverter
trough2.eject(1, target)
self.advance_time_and_run(5)
self.assertEqual("ball_left", trough1._state)
self.assertEqual("waiting_for_target_ready", trough2._state)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
# only trough1 ejects. trought2 waits because of diverter
self.assertTrue(self.machine.coils["eject_coil1"].pulse.called)
assert not self.machine.coils["eject_coil3"].pulse.called
self.assertEqual(1, diverter.diverting_ejects_count)
self.hit_and_release_switch("s_playfield")
self.advance_time_and_run(3)
# wait for cooldown
self.assertFalse(self.machine.coils["eject_coil3"].pulse.called)
self.assertEqual(1, diverter.diverting_ejects_count)
self.advance_time_and_run(3)
self.assertTrue(self.machine.coils["eject_coil3"].pulse.called)
self.assertEqual(1, diverter.diverting_ejects_count)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.coils["eject_coil1"].pulse = MagicMock(wraps=pulse1)
self.machine.coils["eject_coil3"].pulse = MagicMock(wraps=pulse3)
self.machine.ball_devices["test_target"].eject()
self.advance_time_and_run(20)
self.assertEqual("idle", trough1._state)
self.assertEqual("idle", trough2._state)
self.assertEqual(2, trough1.balls)
self.assertEqual(1, trough2.balls)
self.assertEqual("idle", target._state)
self.assertEqual(0, diverter.diverting_ejects_count)
self.machine.log.info("START")
# same scenario but change order
trough2.eject(1, target)
trough1.eject(1, playfield)
self.advance_time_and_run(0.05)
self.assertEqual("waiting_for_target_ready", trough1._state)
self.assertEqual("ball_left", trough2._state)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.assertTrue(self.machine.coils["eject_coil3"].pulse.called)
assert not self.machine.coils["eject_coil1"].pulse.called
self.hit_and_release_switch("s_playfield")
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# wait for cooldown
self.advance_time_and_run(3)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.assertTrue(self.machine.coils["eject_coil1"].pulse.called)
self.advance_time_and_run(20)
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_pulsed_activation_time.yaml")
def test_pulsed_activation_time(self):
diverter = self.machine.diverters["d_test_pulse"]
self.machine.coils["c_diverter"].pulse = MagicMock()
self.machine.coils["c_diverter_disable"].pulse = MagicMock()
self.post_event("machine_reset_phase_3")
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.assertTrue(self.machine.coils["c_diverter_disable"].pulse.called)
assert not self.machine.coils["c_diverter"].pulse.called
self.assertEqual("idle", self.machine.ball_devices["test_trough"]._state)
self.assertEqual("idle", self.machine.ball_devices["test_target"]._state)
self.machine.coils["c_diverter"].pulse = MagicMock()
self.machine.coils["c_diverter_disable"].pulse = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.assertTrue(self.machine.coils["c_diverter"].pulse.called)
self.machine.coils["c_diverter"].pulse = MagicMock()
assert not self.machine.coils["c_diverter_disable"].pulse.called
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter_disable"].pulse.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.assertTrue(self.machine.coils["c_diverter_disable"].pulse.called)
self.hit_switch_and_run("s_ball_switch1", 1)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].pulse.called
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_diverter_with_switch.yaml")
def test_diverter_with_switch(self):
diverter = self.machine.diverters["d_test"]
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# it should not activate
self.hit_and_release_switch("s_activate")
self.advance_time_and_run(1)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# nothing should happen
self.hit_and_release_switch("s_deactivate")
self.hit_and_release_switch("s_disable")
self.advance_time_and_run(1)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# enable diverter
diverter.enable()
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_activate")
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.hit_and_release_switch("s_deactivate")
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_activate")
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.hit_and_release_switch("s_disable")
self.advance_time_and_run(1)
self.assertFalse(diverter.enabled)
self.assertTrue(diverter.active)
self.hit_and_release_switch("s_deactivate")
self.advance_time_and_run(1)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
@test_config("test_diverter_auto_disable.yaml")
def test_diverter_auto_disable(self):
diverter = self.machine.diverters["d_test"]
# enable diverter
diverter.enable()
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_activate")
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.hit_and_release_switch("s_disable")
self.advance_time_and_run(1)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
@test_config("test_activation_switch_and_eject_confirm_switch.yaml")
def test_activation_switch_and_eject_confirm_switch(self):
diverter = self.machine.diverters["d_test_hold_activation_time"]
self.machine.coils["c_diverter"].enable = MagicMock()
self.machine.coils["c_diverter"].disable = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough2"]
self.machine.playfield.add_ball()
self.advance_time_and_run(.01)
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
# smart virtual automatically triggers the diverter
self.advance_time_and_run(3)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.machine.coils["c_diverter"].enable.assert_called_once_with()
self.machine.coils["c_diverter"].enable = MagicMock()
assert not self.machine.coils["c_diverter"].disable.called
self.advance_time_and_run(4)
self.machine.coils["c_diverter"].disable.assert_called_once_with()
assert not self.machine.coils["c_diverter"].enable.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.hit_switch_and_run("s_ball_switch1", 1)
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.ball_devices["test_trough2"].eject(1, self.machine.ball_devices["test_target"])
self.advance_time_and_run(.01)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# smart virtual htis diverter switch for us
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_diverter"].enable.called
self.assertEqual(0, diverter.diverting_ejects_count)
@test_config("test_diverter_dual_wound_coil.yaml")
def test_diverter_dual_wound_coil(self):
diverter = self.machine.diverters["d_test_dual_wound"]
self.assertEqual("idle", self.machine.ball_devices["test_trough"]._state)
self.assertEqual("idle", self.machine.ball_devices["test_target"]._state)
self.machine.coils["c_hold"].enable = MagicMock()
self.machine.coils["c_hold"].disable = MagicMock()
self.machine.coils["c_power"].pulse = MagicMock()
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
# test active side
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_trough"]
self.machine.playfield.add_ball()
self.advance_time_and_run(1)
self.assertTrue(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertTrue(diverter.enabled)
self.assertTrue(diverter.active)
self.machine.coils["c_hold"].enable.assert_called_once_with()
self.machine.coils["c_hold"].enable = MagicMock()
self.assertTrue(self.machine.coils["c_power"].pulse.called)
self.machine.coils["c_power"].pulse = MagicMock()
assert not self.machine.coils["c_hold"].disable.called
self.advance_time_and_run(4)
assert not self.machine.coils["c_hold"].disable.called
self.hit_and_release_switch("s_playfield")
self.machine_run()
self.assertFalse(diverter.active)
self.machine.coils["c_hold"].disable.assert_called_once_with()
self.hit_switch_and_run("s_ball_switch1", 1)
# test inactive side
self.machine.playfield.config['default_source_device'] = self.machine.ball_devices["test_target"]
self.machine.playfield.add_ball()
self.advance_time_and_run(3)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.hit_and_release_switch("s_diverter")
self.advance_time_and_run(0.5)
self.assertFalse(diverter.enabled)
self.assertFalse(diverter.active)
self.advance_time_and_run(4)
assert not self.machine.coils["c_hold"].enable.called
assert not self.machine.coils["c_power"].pulse.called
self.hit_switch_and_run("s_ball_switch1", 1)
| 38.556478
| 116
| 0.699108
| 2,875
| 23,211
| 5.368696
| 0.06087
| 0.116165
| 0.111759
| 0.071137
| 0.904891
| 0.890314
| 0.863427
| 0.834402
| 0.78471
| 0.759767
| 0
| 0.010922
| 0.191375
| 23,211
| 601
| 117
| 38.620632
| 0.811444
| 0.021886
| 0
| 0.806897
| 0
| 0
| 0.11814
| 0.040335
| 0
| 0
| 0
| 0
| 0.441379
| 1
| 0.036782
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6724463b230387fa964bad37b3b2eeefcb12a1ab
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py
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Python
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src/galaxies_datasets/datasets/galaxy_zoo_challenge/__init__.py
|
autogalmorph/galaxies_datasets-1
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30cc9eae195fee8d393c543a27c4b5e637a1e1ba
|
[
"MIT"
] | null | null | null |
src/galaxies_datasets/datasets/galaxy_zoo_challenge/__init__.py
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autogalmorph/galaxies_datasets-1
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30cc9eae195fee8d393c543a27c4b5e637a1e1ba
|
[
"MIT"
] | 16
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2021-09-21T21:25:05.000Z
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2022-03-01T14:10:08.000Z
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src/galaxies_datasets/datasets/galaxy_zoo_challenge/__init__.py
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autogalmorph/galaxies_datasets-1
|
30cc9eae195fee8d393c543a27c4b5e637a1e1ba
|
[
"MIT"
] | 2
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2022-03-05T14:56:55.000Z
|
2022-03-09T23:58:56.000Z
|
"""galaxy_zoo_challenge dataset."""
from .galaxy_zoo_challenge import GalaxyZooChallenge # noqa: F401
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674ee065cbfe688b67ae443f1e86b0ef2c8865d7
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py
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Python
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contest/weekly/235/abs_sum_diff.py
|
phunc20/leetcode
|
4581f39be565593ad0f5718dd4b0e1c34c209bf3
|
[
"MIT"
] | null | null | null |
contest/weekly/235/abs_sum_diff.py
|
phunc20/leetcode
|
4581f39be565593ad0f5718dd4b0e1c34c209bf3
|
[
"MIT"
] | null | null | null |
contest/weekly/235/abs_sum_diff.py
|
phunc20/leetcode
|
4581f39be565593ad0f5718dd4b0e1c34c209bf3
|
[
"MIT"
] | null | null | null |
#class Solution:
# def minAbsoluteSumDiff(self, nums1: List[int], nums2: List[int]) -> int:
def minAbsoluteSumDiff(nums1, nums2):
modulo = 10**9 + 7
abs_diff = [abs(nums1[i] - nums2[i]) for i in range(len(nums1))]
ans = sum(abs_diff)
#if len(set(abs_diff)) == 1:
if ans == 0:
# i.e. all diff are 0
return ans
improvements = [0 for i in range(len(nums1))]
for i, diff in enumerate(abs_diff):
if diff == 0:
pass
else:
min_diff = diff
for j in range(len(nums1)):
new_diff = abs(nums1[j] - nums2[i])
#improvements[i] = max(diff - new_diff, 0)
#if new_diff < abs_diff[i]:
if new_diff < min_diff:
#improvements[i] = min_diff - new_diff
min_diff = new_diff
improvements[i] = diff - min_diff
ans -= max(improvements)
return ans % modulo
def test(nums1, nums2, expected):
ans = minAbsoluteSumDiff(nums1, nums2)
if ans == expected:
print("Congratulations!")
else:
print("Almost there.")
print(f"ans = {ans}")
print(f"expected = {expected}")
print()
if __name__ == "__main__":
k = 1
print(f"Example {k}")
nums1 = [1,7,5]
nums2 = [2,3,5]
expected = 3
test(nums1, nums2, expected)
k += 1
print(f"Example {k}")
nums1 = [2,4,6,8,10]
nums2 = [2,4,6,8,10]
expected = 0
test(nums1, nums2, expected)
k += 1
print(f"Example {k}")
nums1 = [1,10,4,4,2,7]
nums2 = [9,3,5,1,7,4]
expected = 20
test(nums1, nums2, expected)
# time limit exceeded
k += 1
print(f"Example {k}")
nums1 = 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00000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000,100000]
expected = 20
test(nums1, nums2, expected)
| 2,673.470588
| 140,012
| 0.775309
| 40,246
| 181,796
| 3.501565
| 0.001491
| 0.283827
| 0.425719
| 0.567597
| 0.995175
| 0.99509
| 0.994366
| 0.994366
| 0.994054
| 0.994054
| 0
| 0.773071
| 0.003267
| 181,796
| 67
| 140,013
| 2,713.373134
| 0.004647
| 0.001441
| 0
| 0.283019
| 0
| 0
| 0.000623
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037736
| false
| 0.018868
| 0
| 0
| 0.075472
| 0.169811
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 13
|
67601eb4c5375d9e742574d10715381b74594324
| 79
|
py
|
Python
|
sftp/modules/span_typing/__init__.py
|
hiaoxui/span-finder
|
c5f9886eae12921796b33bdb84ffcb6bfa905cb4
|
[
"Apache-2.0"
] | 3
|
2021-05-08T15:35:21.000Z
|
2022-01-24T02:52:55.000Z
|
sftp/modules/span_typing/__init__.py
|
hiaoxui/span-finder
|
c5f9886eae12921796b33bdb84ffcb6bfa905cb4
|
[
"Apache-2.0"
] | null | null | null |
sftp/modules/span_typing/__init__.py
|
hiaoxui/span-finder
|
c5f9886eae12921796b33bdb84ffcb6bfa905cb4
|
[
"Apache-2.0"
] | 1
|
2021-09-07T22:31:40.000Z
|
2021-09-07T22:31:40.000Z
|
from .mlp_span_typing import MLPSpanTyping
from .span_typing import SpanTyping
| 26.333333
| 42
| 0.873418
| 11
| 79
| 6
| 0.636364
| 0.30303
| 0.484848
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101266
| 79
| 2
| 43
| 39.5
| 0.929577
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
67c1f9ea20b21a3a4f8b5f6bcb07e48930e6397a
| 86,712
|
py
|
Python
|
post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta3pt6/Output/Histos/MadAnalysis5job_0/selection_9.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta3pt6/Output/Histos/MadAnalysis5job_0/selection_9.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
post_optimization_studies/mad_analyses/ma100MeV_L1pt8-2pt4TeV_deta3pt6/Output/Histos/MadAnalysis5job_0/selection_9.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
def selection_9():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.linspace(500.0,4000.0,401,endpoint=True)
# Creating data sequence: middle of each bin
xData = numpy.array([504.375,513.125,521.875,530.625,539.375,548.125,556.875,565.625,574.375,583.125,591.875,600.625,609.375,618.125,626.875,635.625,644.375,653.125,661.875,670.625,679.375,688.125,696.875,705.625,714.375,723.125,731.875,740.625,749.375,758.125,766.875,775.625,784.375,793.125,801.875,810.625,819.375,828.125,836.875,845.625,854.375,863.125,871.875,880.625,889.375,898.125,906.875,915.625,924.375,933.125,941.875,950.625,959.375,968.125,976.875,985.625,994.375,1003.125,1011.875,1020.625,1029.375,1038.125,1046.875,1055.625,1064.375,1073.125,1081.875,1090.625,1099.375,1108.125,1116.875,1125.625,1134.375,1143.125,1151.875,1160.625,1169.375,1178.125,1186.875,1195.625,1204.375,1213.125,1221.875,1230.625,1239.375,1248.125,1256.875,1265.625,1274.375,1283.125,1291.875,1300.625,1309.375,1318.125,1326.875,1335.625,1344.375,1353.125,1361.875,1370.625,1379.375,1388.125,1396.875,1405.625,1414.375,1423.125,1431.875,1440.625,1449.375,1458.125,1466.875,1475.625,1484.375,1493.125,1501.875,1510.625,1519.375,1528.125,1536.875,1545.625,1554.375,1563.125,1571.875,1580.625,1589.375,1598.125,1606.875,1615.625,1624.375,1633.125,1641.875,1650.625,1659.375,1668.125,1676.875,1685.625,1694.375,1703.125,1711.875,1720.625,1729.375,1738.125,1746.875,1755.625,1764.375,1773.125,1781.875,1790.625,1799.375,1808.125,1816.875,1825.625,1834.375,1843.125,1851.875,1860.625,1869.375,1878.125,1886.875,1895.625,1904.375,1913.125,1921.875,1930.625,1939.375,1948.125,1956.875,1965.625,1974.375,1983.125,1991.875,2000.625,2009.375,2018.125,2026.875,2035.625,2044.375,2053.125,2061.875,2070.625,2079.375,2088.125,2096.875,2105.625,2114.375,2123.125,2131.875,2140.625,2149.375,2158.125,2166.875,2175.625,2184.375,2193.125,2201.875,2210.625,2219.375,2228.125,2236.875,2245.625,2254.375,2263.125,2271.875,2280.625,2289.375,2298.125,2306.875,2315.625,2324.375,2333.125,2341.875,2350.625,2359.375,2368.125,2376.875,2385.625,2394.375,2403.125,2411.875,2420.625,2429.375,2438.125,2446.875,2455.625,2464.375,2473.125,2481.875,2490.625,2499.375,2508.125,2516.875,2525.625,2534.375,2543.125,2551.875,2560.625,2569.375,2578.125,2586.875,2595.625,2604.375,2613.125,2621.875,2630.625,2639.375,2648.125,2656.875,2665.625,2674.375,2683.125,2691.875,2700.625,2709.375,2718.125,2726.875,2735.625,2744.375,2753.125,2761.875,2770.625,2779.375,2788.125,2796.875,2805.625,2814.375,2823.125,2831.875,2840.625,2849.375,2858.125,2866.875,2875.625,2884.375,2893.125,2901.875,2910.625,2919.375,2928.125,2936.875,2945.625,2954.375,2963.125,2971.875,2980.625,2989.375,2998.125,3006.875,3015.625,3024.375,3033.125,3041.875,3050.625,3059.375,3068.125,3076.875,3085.625,3094.375,3103.125,3111.875,3120.625,3129.375,3138.125,3146.875,3155.625,3164.375,3173.125,3181.875,3190.625,3199.375,3208.125,3216.875,3225.625,3234.375,3243.125,3251.875,3260.625,3269.375,3278.125,3286.875,3295.625,3304.375,3313.125,3321.875,3330.625,3339.375,3348.125,3356.875,3365.625,3374.375,3383.125,3391.875,3400.625,3409.375,3418.125,3426.875,3435.625,3444.375,3453.125,3461.875,3470.625,3479.375,3488.125,3496.875,3505.625,3514.375,3523.125,3531.875,3540.625,3549.375,3558.125,3566.875,3575.625,3584.375,3593.125,3601.875,3610.625,3619.375,3628.125,3636.875,3645.625,3654.375,3663.125,3671.875,3680.625,3689.375,3698.125,3706.875,3715.625,3724.375,3733.125,3741.875,3750.625,3759.375,3768.125,3776.875,3785.625,3794.375,3803.125,3811.875,3820.625,3829.375,3838.125,3846.875,3855.625,3864.375,3873.125,3881.875,3890.625,3899.375,3908.125,3916.875,3925.625,3934.375,3943.125,3951.875,3960.625,3969.375,3978.125,3986.875,3995.625])
# Creating weights for histo: y10_M_0
y10_M_0_weights = numpy.array([0.205207383239,0.224666701649,0.221128661938,0.251202139482,0.231742821071,0.249433099626,0.224666701649,0.254740219193,0.247664099771,0.242357020204,0.272430497748,0.27950661717,0.267123418182,0.31488721428,0.346729731679,0.313118174425,0.302503975292,0.325501373413,0.355574850957,0.316656214136,0.298965935581,0.304273015147,0.283044656881,0.309580094714,0.323732333558,0.297196895725,0.283044656881,0.298965935581,0.309580094714,0.321963333702,0.318425253991,0.288351776448,0.334346532691,0.290120776303,0.320194293847,0.327270413269,0.29542789587,0.27950661717,0.307811094858,0.332577492835,0.281275657026,0.360881970523,0.302503975292,0.309580094714,0.275968537459,0.348498771535,0.261816338615,0.26004729876,0.258278258904,0.304273015147,0.254740219193,0.290120776303,0.293658856014,0.290120776303,0.281275657026,0.281275657026,0.316656214136,0.251202139482,0.235280900782,0.251202139482,0.267123418182,0.290120776303,0.275968537459,0.275968537459,0.318425253991,0.245895059915,0.221128661938,0.267123418182,0.268892458037,0.252971179337,0.245895059915,0.212283502661,0.237049900638,0.222897661794,0.281275657026,0.263585338471,0.242357020204,0.251202139482,0.251202139482,0.275968537459,0.261816338615,0.217590582227,0.252971179337,0.235280900782,0.247664099771,0.235280900782,0.20874546295,0.258278258904,0.231742821071,0.235280900782,0.212283502661,0.256509219048,0.201669343528,0.270661457893,0.22820478136,0.247664099771,0.201669343528,0.222897661794,0.199900303672,0.212283502661,0.17336486584,0.199900303672,0.210514462805,0.222897661794,0.19282418425,0.196362223961,0.19282418425,0.176902905551,0.226435741505,0.171595825984,0.164519706562,0.166288746418,0.169826786129,0.19282418425,0.150367467718,0.182210025117,0.178671945406,0.199900303672,0.17336486584,0.17336486584,0.185748064828,0.171595825984,0.127370109596,0.17336486584,0.189286144539,0.180440985262,0.155674587285,0.145060388152,0.145060388152,0.150367467718,0.145060388152,0.17336486584,0.139753308585,0.150367467718,0.162750706707,0.123832029885,0.153905547429,0.139753308585,0.182210025117,0.143291348296,0.130908149308,0.166288746418,0.136215228874,0.130908149308,0.141522348441,0.146829428007,0.132677189163,0.116755910463,0.114986910608,0.160981666851,0.136215228874,0.118524950319,0.10614175133,0.129139149452,0.132677189163,0.10614175133,0.107910791186,0.109679791041,0.125601069741,0.118524950319,0.111448830897,0.12206303003,0.129139149452,0.145060388152,0.114986910608,0.116755910463,0.132677189163,0.129139149452,0.139753308585,0.102603711619,0.0937585523419,0.109679791041,0.107910791186,0.0919895124864,0.136215228874,0.0990656319084,0.111448830897,0.0937585523419,0.0919895124864,0.100834671764,0.0849133930643,0.0902204726309,0.107910791186,0.0689921543648,0.0884514727753,0.0796063134978,0.0866824329198,0.0689921543648,0.10614175133,0.0866824329198,0.0725301940758,0.0849133930643,0.0955275921974,0.0919895124864,0.0760682737868,0.0689921543648,0.0689921543648,0.0689921543648,0.0902204726309,0.0866824329198,0.0796063134978,0.0884514727753,0.100834671764,0.0601469950872,0.0831443532088,0.0796063134978,0.0902204726309,0.0919895124864,0.0778372736423,0.0672231145093,0.0919895124864,0.0760682737868,0.0530708756652,0.0919895124864,0.0619160349427,0.0707611542203,0.0654540746538,0.0707611542203,0.0513018358097,0.0566089153762,0.0796063134978,0.0778372736423,0.0866824329198,0.0689921543648,0.0742992339313,0.0583779552317,0.0530708756652,0.0513018358097,0.0495328359542,0.0672231145093,0.0566089153762,0.0601469950872,0.0583779552317,0.0424567165322,0.0636850347982,0.0707611542203,0.0406876766767,0.0548399155207,0.0442257163877,0.0424567165322,0.0566089153762,0.0353805851101,0.0707611542203,0.0477637960987,0.0424567165322,0.0442257163877,0.0424567165322,0.0636850347982,0.0442257163877,0.0300734975436,0.0601469950872,0.0442257163877,0.0583779552317,0.0406876766767,0.0601469950872,0.0389186408212,0.0442257163877,0.0442257163877,0.0442257163877,0.0442257163877,0.0371496129656,0.0318425253991,0.0548399155207,0.0406876766767,0.0601469950872,0.0406876766767,0.0318425253991,0.0513018358097,0.0318425253991,0.0283044656881,0.0424567165322,0.0442257163877,0.0389186408212,0.0566089153762,0.0371496129656,0.0336115532546,0.0371496129656,0.0353805851101,0.0459947562432,0.0283044656881,0.0406876766767,0.0442257163877,0.0229973781216,0.0371496129656,0.0459947562432,0.0353805851101,0.0424567165322,0.0406876766767,0.0283044656881,0.0318425253991,0.0194593224106,0.0318425253991,0.0371496129656,0.0336115532546,0.0247664099771,0.0406876766767,0.0212283502661,0.0265354378326,0.0212283502661,0.0283044656881,0.0389186408212,0.0247664099771,0.0194593224106,0.0336115532546,0.0300734975436,0.0247664099771,0.0265354378326,0.0176902905551,0.0229973781216,0.0176902905551,0.0300734975436,0.0300734975436,0.0141522348441,0.0283044656881,0.0247664099771,0.0247664099771,0.0336115532546,0.0212283502661,0.0300734975436,0.0176902905551,0.0229973781216,0.0212283502661,0.0229973781216,0.0477637960987,0.010614175133,0.0212283502661,0.0247664099771,0.0247664099771,0.010614175133,0.0176902905551,0.0283044656881,0.0247664099771,0.0141522348441,0.0212283502661,0.0123832029885,0.0212283502661,0.0141522348441,0.0123832029885,0.0194593224106,0.0176902905551,0.0159212626996,0.0229973781216,0.0159212626996,0.0194593224106,0.0229973781216,0.0194593224106,0.0212283502661,0.0229973781216,0.0176902905551,0.0212283502661,0.0212283502661,0.00353805851101,0.0176902905551,0.0176902905551,0.010614175133,0.0176902905551,0.0159212626996,0.0159212626996,0.00707611542203,0.0176902905551,0.0123832029885,0.0123832029885,0.00884514727753,0.0229973781216,0.0123832029885,0.010614175133,0.00884514727753,0.0123832029885,0.0141522348441,0.010614175133,0.010614175133,0.010614175133,0.0123832029885,0.0141522348441,0.00884514727753,0.010614175133,0.00353805851101,0.010614175133,0.00884514727753,0.0123832029885,0.010614175133,0.0123832029885,0.010614175133,0.010614175133,0.0141522348441,0.010614175133,0.010614175133,0.0176902905551,0.0141522348441,0.0123832029885,0.0176902905551,0.0194593224106,0.0159212626996,0.00884514727753,0.00707611542203,0.00707611542203,0.00884514727753,0.0123832029885,0.0123832029885,0.00353805851101])
# Creating weights for histo: y10_M_1
y10_M_1_weights = numpy.array([0.134652320926,0.125040484512,0.157102787723,0.147460055878,0.156017530748,0.146387908478,0.176317627576,0.176291528331,0.169905086997,0.151729940353,0.161363199731,0.184856557194,0.178479028773,0.211581664685,0.172003937936,0.205177037813,0.224398872103,0.207298031143,0.190192793678,0.196620202434,0.201964872211,0.180605497749,0.234016423973,0.196616805135,0.194474988364,0.220133344164,0.210522906637,0.219037895294,0.182716299184,0.196603415783,0.180584554404,0.21476685174,0.199794558102,0.194474228968,0.209447401907,0.164565253374,0.192353035797,0.207290597055,0.215885122462,0.208399195468,0.193410914544,0.194493733458,0.210481499565,0.159208872909,0.187008485924,0.226534653674,0.193402681091,0.200883971772,0.191267099362,0.157058742749,0.175249317125,0.170969760341,0.189136034042,0.199821416744,0.200889927036,0.182728889172,0.180608015746,0.172022483188,0.169886341904,0.178425871045,0.160278022693,0.194483981213,0.18058127701,0.20410920698,0.184858115955,0.184880138442,0.1517474864,0.145338143278,0.197669847728,0.135704404282,0.167762630735,0.146403576018,0.16455682008,0.175247358682,0.156027602739,0.148556264144,0.148542115395,0.177378224162,0.157095433571,0.158178412358,0.137819921966,0.163484153093,0.151738733361,0.166703233196,0.165627088974,0.173080881522,0.127177904779,0.13891417179,0.139951946524,0.154931394472,0.167743445991,0.13252137551,0.122894950697,0.128238421428,0.128219796239,0.132503070067,0.126086612603,0.130376920837,0.139992834009,0.105795428687,0.125023298179,0.133574098357,0.125024816971,0.119675990499,0.138924563526,0.100453077066,0.127156441847,0.113279597079,0.113259652939,0.110068870334,0.145335545344,0.109005276132,0.138934435676,0.12290853989,0.104739988001,0.139982642114,0.112193141058,0.12075349364,0.114349506259,0.103666641555,0.118619550607,0.119679507702,0.125012107078,0.122886837149,0.090828930441,0.120741862889,0.0918954822908,0.107927812959,0.115400390568,0.103654731026,0.0919026765697,0.0940130383544,0.0769384964801,0.111134742724,0.10898425285,0.104701618514,0.109014628694,0.0854813030152,0.105780840288,0.0897570628183,0.091874618882,0.0983089421385,0.0972404718143,0.0929831373589,0.101517310759,0.0951133233788,0.0961813940209,0.0876167648397,0.079079034268,0.100451518306,0.083345521445,0.100458992362,0.097249464663,0.0822837258129,0.0726559820484,0.071599861903,0.0651714939106,0.0737075857854,0.0790630070133,0.089763098019,0.0822766114704,0.0747959203131,0.0790712404659,0.0887099355216,0.0737330455392,0.0865475351193,0.0833496781395,0.0801341152398,0.0790918240972,0.07052755463,0.0758696664419,0.0641234873131,0.0844137119917,0.0662570706314,0.072663855787,0.0705309519284,0.0726533441462,0.0513052806888,0.0779990930657,0.0641156935109,0.0587725824936,0.0630569754314,0.0577111865436,0.0609334641036,0.0598451295759,0.0673187863271,0.0651777289524,0.0459453830207,0.0523639987683,0.0587669869433,0.0480953932758,0.0502200237137,0.0534205585641,0.0651643395999,0.064116812621,0.0630427067782,0.0577082288956,0.0534238359578,0.0395408760534,0.0673187863271,0.0502352516041,0.0470055399559,0.053425714464,0.0566379999699,0.0427436091556,0.0555765240835,0.0352617469296,0.0523812250695,0.0438203529006,0.0437986501592,0.0384656910688,0.0544920265045,0.0384682210569,0.0491649827101,0.0406078275854,0.0405988347367,0.0331379078624,0.042745167916,0.0438012480933,0.0502289765942,0.047017930103,0.0416676647749,0.0406025917491,0.0480856410311,0.0448869846869,0.0406153016418,0.0384712826223,0.0309905075317,0.0491388035285,0.0352718309106,0.0427443685517,0.0267079811096,0.0309942325695,0.0395314555448,0.0299216814904,0.0405966364849,0.0309953316954,0.0341965500023,0.03525582364,0.0277794370596,0.0427443685517,0.0299220132266,0.0309822860697,0.0277806361061,0.0331278238815,0.045957653263,0.0299167534093,0.0384626295034,0.0341970815796,0.0331337471711,0.0213679156704,0.0234970145548,0.0363257448105,0.0267057868545,0.0299209141006,0.0256459456682,0.0331326480452,0.0320653567833,0.0320548371488,0.032051875504,0.0363339662725,0.027791819213,0.0341985124417,0.0256346626407,0.0256507738287,0.0320529746299,0.0277741772423,0.0277775745407,0.0299148908904,0.0245852451652,0.0309875458869,0.0309942325695,0.0245811843944,0.0309889767491,0.0320537380228,0.021370545579,0.0235153199979,0.0256507738287,0.0181666014398,0.0181621090123,0.0181666014398,0.0224382724944,0.0224457305636,0.0213772362584,0.0235108275704,0.0235115909633,0.0213746063498,0.023513457479,0.0202919712897,0.0149641840865,0.0203001887549,0.0202983262361,0.0117580416954,0.0299175207991,0.0181684639587,0.0203028186636,0.0224457305636,0.0149604590487,0.0224356425858,0.0267068859805,0.0224378408377,0.018162540669,0.0256444148855,0.0192295001947,0.0138983236868,0.0170936147071,0.0203020552706,0.0138871405799,0.0160364074262,0.0213663848877,0.0235130218254,0.0181647349241,0.0181681322225,0.0192354274812,0.0203001887549,0.0117554117868,0.0203012878809,0.0181647349241,0.0192391525189,0.0149612224417,0.0192313667104,0.0160292810933,0.02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# Creating weights for histo: y10_M_2
y10_M_2_weights = numpy.array([0.0923635016937,0.087502260552,0.107641665282,0.106252744956,0.0916690215306,0.120836468381,0.119447548055,0.127086629849,0.0944469021831,0.114586306913,0.112502906424,0.114586306913,0.129864470502,0.146531554416,0.12500322936,0.127781070012,0.122919828871,0.120141988218,0.142364793438,0.13403123148,0.13403123148,0.129169990339,0.143059273601,0.143753713764,0.147226034579,0.129864470502,0.142364793438,0.133336791317,0.138892472622,0.13611463197,0.129169990339,0.142364793438,0.142364793438,0.131253390828,0.139586952785,0.136809112133,0.128475550175,0.13611463197,0.145837114253,0.139586952785,0.129864470502,0.111808466261,0.119447548055,0.143753713764,0.146531554416,0.137503552296,0.136809112133,0.128475550175,0.120141988218,0.140975873111,0.124308789197,0.147920474743,0.128475550175,0.126392149686,0.125697709523,0.119447548055,0.116669667403,0.127086629849,0.134725711643,0.12500322936,0.129864470502,0.11389182675,0.129169990339,0.130558950665,0.111113986098,0.110419505935,0.113197386587,0.127086629849,0.115975227239,0.101391503814,0.118058627729,0.110419505935,0.103474904304,0.114586306913,0.0993081433248,0.100697063651,0.121530908544,0.118058627729,0.116669667403,0.117364147566,0.104169344467,0.101391503814,0.122919828871,0.107641665282,0.0986136631617,0.107641665282,0.0895856610413,0.0972247428355,0.104169344467,0.0868077803888,0.105558304793,0.106252744956,0.0993081433248,0.109030585608,0.0965302626724,0.0881967407151,0.0902801012044,0.09375242202,0.0819465792471,0.09375242202,0.0944469021831,0.0972247428355,0.0965302626724,0.0826410194102,0.0743074574528,0.087502260552,0.0819465792471,0.0902801012044,0.0763908579422,0.081252099084,0.0708351766373,0.0791686985946,0.0826410194102,0.0854188600626,0.0770853381053,0.0833354995733,0.075001937616,0.0784742584315,0.0701406964742,0.0694462563111,0.0847244198995,0.0541680527226,0.0777797782684,0.0673628558217,0.0694462563111,0.075001937616,0.0680572959848,0.0666683756586,0.0597237740275,0.0659739354955,0.0597237740275,0.0645850151693,0.06250161468,0.06250161468,0.0576403735382,0.0652794553324,0.06250161468,0.0604182141906,0.0576403735382,0.0638905350062,0.0666683756586,0.0694462563111,0.0604182141906,0.06250161468,0.0638905350062,0.0555569730489,0.0541680527226,0.0743074574528,0.050001291744,0.0611126943537,0.0583348537013,0.0576403735382,0.0645850151693,0.0652794553324,0.056251453212,0.0479178912546,0.056251453212,0.0534736125595,0.0555569730489,0.0479178912546,0.0472234510915,0.0458345307653,0.0520846922333,0.0423622099498,0.056251453212,0.0444456104391,0.0458345307653,0.0513902120702,0.0458345307653,0.0451400506022,0.0513902120702,0.0444456104391,0.0534736125595,0.0479178912546,0.0354175843186,0.0458345307653,0.0430566501129,0.0388898931342,0.0444456104391,0.0465289709284,0.0548625328857,0.0472234510915,0.0472234510915,0.0388898931342,0.0465289709284,0.0423622099498,0.0416677297866,0.0277784945244,0.0555569730489,0.03125080734,0.0354175843186,0.0430566501129,0.0395843572973,0.0347231201555,0.0354175843186,0.0402788094604,0.0333341958293,0.0430566501129,0.043751130276,0.0402788094604,0.0305563471769,0.0368065086449,0.0319452715031,0.0354175843186,0.0326397316662,0.0340286559924,0.0395843572973,0.0361120444818,0.037500968808,0.0326397316662,0.0388898931342,0.0284729586875,0.0305563471769,0.0229172573827,0.0347231201555,0.0361120444818,0.0270840343613,0.0270840343613,0.018750484404,0.03125080734,0.0333341958293,0.025000645872,0.0333341958293,0.0354175843186,0.0298618830138,0.0298618830138,0.0319452715031,0.025000645872,0.0277784945244,0.0284729586875,0.0229172573827,0.0270840343613,0.0326397316662,0.0270840343613,0.018750484404,0.0243061857089,0.0222227972195,0.0263895701982,0.0229172573827,0.0270840343613,0.0277784945244,0.0201394087302,0.025000645872,0.0236117215458,0.0263895701982,0.0222227972195,0.0256951100351,0.0208338728933,0.0208338728933,0.0222227972195,0.0208338728933,0.0201394087302,0.0201394087302,0.018750484404,0.0229172573827,0.0243061857089,0.0180560242409,0.0194449485671,0.0159726357515,0.0215283330564,0.0222227972195,0.0152781715884,0.018750484404,0.0208338728933,0.0194449485671,0.0208338728933,0.0159726357515,0.0180560242409,0.0138892472622,0.0194449485671,0.0201394087302,0.0145837114253,0.0180560242409,0.0159726357515,0.0152781715884,0.0145837114253,0.0166670959147,0.0118058627729,0.0131947870991,0.0152781715884,0.0118058627729,0.0180560242409,0.0159726357515,0.0145837114253,0.0159726357515,0.0118058627729,0.0131947870991,0.0194449485671,0.0180560242409,0.0118058627729,0.0104169344467,0.0152781715884,0.0145837114253,0.0131947870991,0.00763908579422,0.0166670959147,0.0145837114253,0.0208338728933,0.00833354995733,0.0201394087302,0.0118058627729,0.0118058627729,0.00833354995733,0.012500322936,0.0111113986098,0.0152781715884,0.00902801012044,0.0111113986098,0.0138892472622,0.0118058627729,0.012500322936,0.0118058627729,0.0159726357515,0.012500322936,0.006250161468,0.00972247428355,0.00763908579422,0.0145837114253,0.00763908579422,0.011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# Creating weights for histo: y10_M_3
y10_M_3_weights = numpy.array([0.0583211378848,0.0720716621015,0.0687525810837,0.0692267012291,0.077287383701,0.0810806248642,0.0839255457366,0.0763390634101,0.0858221463182,0.0782356639918,0.0768132235555,0.0829772254458,0.0858221463182,0.0967277496625,0.0905637077723,0.0881929470453,0.0953052692263,0.0891412673361,0.0848738660274,0.0896154274815,0.0815547450096,0.104788392134,0.102417591407,0.105736712425,0.084399705882,0.0981502300988,0.0986243502442,0.10526255228,0.0862963064636,0.0839255457366,0.104788392134,0.0853480261728,0.0839255457366,0.0915120280631,0.104788392134,0.0967277496625,0.0801323045734,0.0915120280631,0.084399705882,0.0924603483539,0.102891751553,0.0891412673361,0.0986243502442,0.0938828287901,0.0858221463182,0.0910378679177,0.0924603483539,0.0791839842826,0.0919861882085,0.0900895476269,0.0886671071907,0.0896154274815,0.103365911698,0.0862963064636,0.0872446267544,0.082028905155,0.0749165829739,0.0881929470453,0.103365911698,0.079658144428,0.0905637077723,0.0791839842826,0.0806064647188,0.0739682626831,0.0782356639918,0.0815547450096,0.079658144428,0.0706491816653,0.084399705882,0.082028905155,0.0787098241372,0.0673301006475,0.0711233418107,0.0730199823923,0.0972019098079,0.0810806248642,0.0744424228285,0.0862963064636,0.0787098241372,0.0711233418107,0.0701750215199,0.066855940502,0.0706491816653,0.0706491816653,0.0692267012291,0.0782356639918,0.0711233418107,0.0744424228285,0.0734941025377,0.062114379048,0.0701750215199,0.064485179775,0.0687525810837,0.0630626993388,0.084399705882,0.0706491816653,0.0640110196296,0.0583211378848,0.0701750215199,0.0602177784664,0.0550020568669,0.0611660587572,0.0578469777394,0.0654334600658,0.0625885391934,0.0606918986118,0.0606918986118,0.0701750215199,0.0625885391934,0.0649592999204,0.0535795764307,0.0578469777394,0.0531054162853,0.0554762170123,0.0521571359945,0.0602177784664,0.059743618321,0.0602177784664,0.0616402189026,0.0535795764307,0.0564244973031,0.0497863352675,0.0521571359945,0.0554762170123,0.0540537365761,0.0459930941042,0.0663817803566,0.0550020568669,0.0431481732318,0.0497863352675,0.0450447738134,0.0502604954129,0.0450447738134,0.0526312561399,0.0417256927956,0.0531054162853,0.0450447738134,0.037458291487,0.0440964535226,0.0393549160686,0.0507346555583,0.0431481732318,0.039829072214,0.0450447738134,0.0417256927956,0.0355616709053,0.044570613668,0.037458291487,0.044570613668,0.0393549160686,0.0440964535226,0.0459930941042,0.0426740130864,0.039829072214,0.044570613668,0.0417256927956,0.0327167380329,0.0322425818875,0.0407773725048,0.0350875147599,0.0403032123594,0.0365099831962,0.0312942695967,0.0346133586145,0.0355616709053,0.037458291487,0.039829072214,0.0303459573059,0.0350875147599,0.039829072214,0.0303459573059,0.0365099831962,0.0369841353416,0.0312942695967,0.0317684257421,0.0388807599232,0.0289234928697,0.0279751805789,0.0403032123594,0.0336650463237,0.0289234928697,0.0331908941783,0.0331908941783,0.0293976490151,0.0331908941783,0.0303459573059,0.0350875147599,0.0260785599973,0.0279751805789,0.0360358270507,0.0270268682881,0.0279751805789,0.0227594709794,0.0293976490151,0.0275010244335,0.0256044038518,0.0213370025432,0.0275010244335,0.0203886902524,0.0289234928697,0.0260785599973,0.024656091561,0.0256044038518,0.0284493367243,0.0227594709794,0.0241819354156,0.0284493367243,0.0194403779616,0.0256044038518,0.0227594709794,0.01754375738,0.0227594709794,0.0189662258162,0.019914534107,0.01754375738,0.0203886902524,0.0218111586886,0.0237077792702,0.0232336231248,0.0251302477064,0.019914534107,0.0180179135254,0.0213370025432,0.0260785599973,0.0184920696708,0.0146988245075,0.0189662258162,0.0184920696708,0.0189662258162,0.0184920696708,0.0194403779616,0.0194403779616,0.0170696012346,0.0113797354897,0.0161212889438,0.0218111586886,0.0132763560713,0.0170696012346,0.0184920696708,0.0165954450892,0.0218111586886,0.0137505122167,0.0146988245075,0.0165954450892,0.0123280437805,0.019914534107,0.0113797354897,0.0156471367984,0.0161212889438,0.0137505122167,0.0184920696708,0.0128021999259,0.0128021999259,0.0194403779616,0.0203886902524,0.0170696012346,0.0189662258162,0.0137505122167,0.0113797354897,0.00758649032647,0.00900895476269,0.0118538916351,0.0099572670535,0.0180179135254,0.0142246683621,0.0137505122167,0.0137505122167,0.0156471367984,0.0123280437805,0.0137505122167,0.0128021999259,0.00948311090809,0.0099572670535,0.0142246683621,0.00663817803566,0.0165954450892,0.00806064647188,0.00948311090809,0.0109055793443,0.0118538916351,0.00806064647188,0.0132763560713,0.00853480261728,0.00948311090809,0.0113797354897,0.00853480261728,0.00900895476269,0.0099572670535,0.0142246683621,0.0104314231989,0.0109055793443,0.0137505122167,0.00806064647188,0.00853480261728,0.00711233418107,0.00663817803566,0.00711233418107,0.0118538916351,0.00948311090809,0.0099572670535,0.00663817803566,0.00663817803566,0.00521571359945,0.00806064647188,0.00663817803566,0.00806064647188,0.00948311090809,0.0123280437805,0.00616402189026,0.00568986574485,0.00568986574485,0.00711233418107,0.011853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# Creating weights for histo: y10_M_4
y10_M_4_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_5
y10_M_5_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0521138287,0.0,0.0,0.0,0.0,0.0,1.05462838872,0.0,0.0,0.0,1.0529581672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_6
y10_M_6_weights = numpy.array([0.461303760033,1.15081967027,0.230569108273,0.921614182285,0.46091142043,0.460625523598,0.230186260137,0.690756333584,0.691148288917,0.460551743771,0.230522534757,0.460787301241,0.45949922842,1.15139645944,0.229952470308,0.691912217547,0.460788454051,0.0,0.0,0.921384773134,0.691887624271,0.0,0.461233054365,0.0,0.230186260137,0.921700258751,0.230020178671,0.460627829218,0.230020178671,0.230764048411,0.0,0.0,0.230360180709,0.690554591868,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230360180709,0.0,0.0,0.0,0.460541752753,0.0,0.230465316963,0.0,0.0,0.230673168571,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230752251324,0.0,0.0,0.0,0.0,0.0,0.230186260137,0.0,0.229982520217,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230428273342,0.0,0.0,0.230551278148,0.0,0.0,0.0,0.229703309683,0.0,0.460081013101,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230673168571,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230619678196,0.0,0.0,0.0,0.0,0.230128542792,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230020178671,0.0,0.0,0.0,0.230569108273,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.230020178671,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_7
y10_M_7_weights = numpy.array([0.331986889589,0.470803586655,0.41534568781,0.415458397734,0.47073896117,0.277029068906,0.526422664539,0.249129477428,0.5262049382,0.359979649476,0.193697159504,0.221507929407,0.415286063106,0.193815101015,0.221531009938,0.276861773527,0.332257124135,0.277037839508,0.221469231051,0.0553450350508,0.193770594059,0.249263998453,0.221607175689,0.110764774085,0.166144045257,0.110815243512,0.221420223391,0.0830655216122,0.221455344265,0.277078692047,0.110720959545,0.0830448645373,0.0553610760195,0.166105770043,0.0553107604629,0.0554236627249,0.0831165680523,0.0554017362209,0.138448716474,0.0830516348263,0.0276381506154,0.0830120517164,0.0,0.0552624836864,0.138459218115,0.110910912312,0.0276896817466,0.0831109902574,0.110845402072,0.0554480896198,0.0553459967395,0.0,0.0554746322299,0.110529968155,0.0553792327036,0.0276870736467,0.0554895961072,0.055452782661,0.0830422102763,0.0,0.0553457659342,0.055432818002,0.110930838503,0.110861366106,0.0553453812587,0.0276929399482,0.0,0.0554876727297,0.083025361489,0.110931377049,0.0276234290836,0.0,0.0554092758609,0.0830222456174,0.0,0.0276929399482,0.0,0.0,0.0276622120685,0.0,0.0,0.0277219329413,0.027640512523,0.0,0.0553960045558,0.0276038183262,0.0277244641062,0.0,0.0,0.0,0.0,0.0277263951772,0.0,0.0,0.0277179130823,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0554893653019,0.0,0.0553453812587,0.0552930269219,0.0,0.0277631932365,0.0,0.0276234290836,0.0276831153357,0.0,0.0,0.0277307073897,0.0,0.0276586845941,0.0,0.0276381506154,0.0,0.0,0.0,0.0276873275325,0.0,0.0,0.0276038183262,0.0276873275325,0.0,0.0,0.0,0.027640512523,0.0,0.0553551520167,0.0277261682187,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0276953710974,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277373238085,0.0,0.0,0.0,0.0,0.0,0.027669617072,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0276381506154,0.0276831153357,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0276038183262,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277058611985,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277263951772,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0276929399482,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_8
y10_M_8_weights = numpy.array([0.171425176725,0.110913048464,0.100895664997,0.121051809151,0.0705639221694,0.0907136333304,0.0907521099096,0.120861550357,0.0805460455527,0.0705653180074,0.100792130228,0.100822838665,0.0403013036689,0.0705123975389,0.0907691027206,0.0907965339726,0.0705733895926,0.0605082988096,0.110944606541,0.0907265600045,0.060498103123,0.0706434242494,0.0403831786737,0.0503637605663,0.0604676010273,0.030269409556,0.0,0.0605221054686,0.0504180647352,0.030218036647,0.0100733687095,0.0201455115091,0.0907402149419,0.0201586809377,0.0605298736107,0.0100921882477,0.0403226478533,0.0301995084141,0.0201924238052,0.0,0.030229919477,0.0100853122281,0.0201592210663,0.0201563383573,0.0100975167078,0.0201501177747,0.0,0.0504232293359,0.0,0.040263512871,0.0302264905705,0.0,0.0201586809377,0.0,0.0,0.0100921882477,0.0,0.0201839213309,0.0201593970633,0.0,0.0,0.020185007657,0.0101000474228,0.0,0.020150761074,0.0100733687095,0.0,0.0201405168365,0.0302352843502,0.0100829696478,0.0101033488832,0.0,0.02012472566,0.0100975167078,0.0,0.0,0.0201806684213,0.0100921882477,0.0100953561932,0.0201565507674,0.0101000474228,0.0201950516221,0.0302184371918,0.0503978614966,0.0100921882477,0.0,0.0,0.0100953561932,0.0,0.0100712385393,0.0302327111531,0.0,0.0,0.0101033488832,0.0100829696478,0.0101000474228,0.0,0.0,0.0,0.0100533232614,0.0,0.0100975167078,0.0100975167078,0.0,0.0,0.0,0.0,0.0,0.0,0.0100996954289,0.0100996954289,0.0,0.0,0.0,0.0,0.0100829696478,0.0,0.0,0.0,0.0,0.0302571990075,0.0100953561932,0.0,0.0100450210595,0.0,0.0,0.0,0.0,0.0,0.0,0.0100996954289,0.0,0.0,0.0,0.0101033488832,0.0100235251535,0.0,0.0,0.0,0.0100805663788,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100592768141,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100996954289,0.0,0.0100429576467,0.0,0.0,0.0,0.0,0.0,0.0100996954289,0.0100733687095,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100235251535,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100975167078,0.0100847538929,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100853122281,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0101000474228,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100975167078,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_9
y10_M_9_weights = numpy.array([0.0395887882306,0.0395919431357,0.0480965285236,0.0537768197651,0.0424228548879,0.0311108771808,0.0509138972684,0.045275273859,0.0339429931833,0.0282836243491,0.0311243393918,0.0197972219876,0.0424551734281,0.0311284677005,0.0254733541408,0.0311415836415,0.0254701299817,0.00566695984371,0.0254795292905,0.0141389227432,0.0226267602018,0.0367860782523,0.0254759896408,0.0226008438104,0.0141400500446,0.0311050367589,0.0113113852005,0.0113171025042,0.02831115282,0.00848730266371,0.00849171183599,0.00849386255789,0.019793786219,0.0311368243517,0.0113139937684,0.0113128933991,0.00848397462356,0.00848956111408,0.0113252013765,0.0311024012589,0.0113216617268,0.00848061965129,0.0226472863222,0.0113129010939,0.00565948041012,0.00283041389272,0.0113231352983,0.00849757534257,0.00566743307948,0.0198128580051,0.0141470331578,0.0141538431359,0.00565845698968,0.00848606763378,0.0,0.00282190565226,0.0113168024034,0.00565715270573,0.0084836129637,0.00283250420974,0.002823576213,0.00848566365203,0.00848342828633,0.0056534437685,0.00565649864004,0.00849022672211,0.005667256097,0.00565920339406,0.00848799135641,0.00283012148688,0.00564696082322,0.00566166960647,0.00283012148688,0.005660507678,0.00282930967593,0.00565389391959,0.00565641784369,0.00566634809992,0.00282800539199,0.00282142779956,0.00282747713775,0.0,0.00564943473053,0.00565392085171,0.00566011523859,0.00283622815201,0.00283012148688,0.0,0.00283097831295,0.00566200818166,0.00283201519944,0.0,0.00283201519944,0.0,0.00282708392885,0.00282586044125,0.00849040755204,0.00565806070281,0.00283016919521,0.00283041389272,0.00282879027082,0.00283014110886,0.0,0.00283201519944,0.00282544030023,0.005667256097,0.00282879027082,0.0,0.0,0.00282544030023,0.00282513596731,0.00564891917286,0.00282747713775,0.00283041389272,0.00282347964212,0.0,0.00283102948397,0.0,0.0,0.0,0.0,0.0,0.00283012148688,0.0,0.0,0.0,0.0,0.00282513596731,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00565288588893,0.0,0.0,0.0,0.0,0.00282586044125,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00282747713775,0.0,0.00282800539199,0.0,0.00566232751961,0.0,0.00283102948397,0.0,0.00283201519944,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00282586044125,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00282347964212,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00283441369682,0.0,0.00283016919521,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00283014110886,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00282142779956,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_10
y10_M_10_weights = numpy.array([0.00456495541109,0.00455821388808,0.0015209497587,0.00305728659455,0.0,0.00303012549001,0.0015209497587,0.00153333600715,0.0,0.00304044815164,0.0,0.0,0.00303278593326,0.00455975744156,0.00456632877184,0.00307259093912,0.00304287812557,0.0,0.00151265404516,0.0,0.0015209497587,0.00304183214944,0.0,0.0,0.00154541023559,0.00152495992482,0.00152325208808,0.00152192836688,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00305783262954,0.0,0.00151448716266,0.0,0.00458922678495,0.0015084961423,0.0,0.0,0.0,0.00308362510091,0.0,0.001522606774,0.0,0.0,0.00152162934771,0.0,0.0,0.00152192836688,0.0,0.00151881880393,0.00305649117993,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00459552982531,0.0,0.0,0.0,0.0,0.00151727406856,0.00302944708289,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0015244966224,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00152644438361,0.0,0.0,0.0,0.0,0.0,0.00151727406856,0.0,0.00153153125511,0.0,0.0,0.0,0.00304671100761,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00151265404516,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00151265404516,0.0,0.0,0.0,0.00151265404516,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0015244966224,0.0,0.0,0.0,0.00151115658554,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0015209497587,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00153333600715,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_11
y10_M_11_weights = numpy.array([0.0,0.000361210164043,0.000180766967933,0.0,0.0,0.000180402041284,0.000180612781708,0.000180970239661,0.000180003620999,0.0,0.000180626140664,0.000180503369161,0.000361314071314,0.0,0.000361042811353,0.000361412165322,0.000180533821421,0.00072191107081,0.000180533821421,0.0,0.000180003620999,0.0,0.000542350143295,0.0,0.0,0.0,0.0,0.0,0.000180640770069,0.0,0.000360707643993,0.0,0.000180755033419,0.000180686044226,0.0,0.000180766967933,0.000180503369161,0.0,0.0,0.000180970239661,0.0,0.0,0.000180626140664,0.0,0.000180402041284,0.0,0.0,0.0,0.000181168429595,0.000180547141879,0.0,0.0,0.0,0.000180503369161,0.000361129509825,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000179998693199,0.0,0.0,0.0,0.0,0.0,0.000361173244045,0.0,0.000180734321262,0.000180657131903,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180203004384,0.0,0.0,0.0,0.0,0.0,0.0,0.000180003620999,0.0,0.0,0.0,0.000181168429595,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180734321262,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180003620999,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180154573355,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180755033419,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180766967933,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180343716158,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_12
y10_M_12_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.012170493784,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0121240822392,0.0,0.0,0.0,0.0,0.0,0.0121753353338,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0121313846429,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_13
y10_M_13_weights = numpy.array([0.0200670126467,0.0200880860334,0.0300606820052,0.0100299569039,0.0,0.0301341868043,0.030113266303,0.0200658432804,0.0100369731021,0.0200736734897,0.0100367003877,0.0501881711396,0.0200979574689,0.0100696699077,0.0301172991707,0.0100407291233,0.030109873901,0.0200786525938,0.0100546540867,0.0200734007753,0.0100609843668,0.0200665333305,0.0100602901846,0.0100457330197,0.0100187053682,0.0,0.0401615363932,0.0100309733849,0.0100696699077,0.0501817664829,0.0200368322513,0.0100407291233,0.0200939039409,0.020058128768,0.0200873422668,0.0201058537908,0.0201005978402,0.0301433227373,0.0100702897132,0.0,0.0100367003877,0.0,0.0100407291233,0.0100299569039,0.0,0.0,0.0100187053682,0.0201025894819,0.0,0.0100309733849,0.0,0.0,0.0,0.0200725371797,0.0200759006575,0.0200719504305,0.0,0.0100355640776,0.0,0.0100367003877,0.0200795285856,0.0100153625506,0.0,0.0100459437535,0.0,0.0100153625506,0.0,0.0100271595151,0.0,0.0,0.0,0.0,0.0100262835234,0.0,0.0,0.0100340930726,0.0,0.0,0.0,0.0,0.0100184161257,0.0,0.0,0.0,0.0,0.0,0.01003244439,0.0100407291233,0.01003244439,0.0100584803526,0.0,0.0,0.0,0.0100546540867,0.0,0.0200884372565,0.0100702897132,0.020117840829,0.0100568564622,0.0100369731021,0.0,0.0,0.0,0.0,0.0100568564622,0.01003244439,0.0100696699077,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100262835234,0.0,0.0,0.0,0.0,0.0100340930726,0.0,0.0,0.0,0.0,0.0,0.0,0.0100568564622,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_14
y10_M_14_weights = numpy.array([0.137484358887,0.214444563398,0.203555150017,0.153959531642,0.165111509392,0.181573803777,0.175908011631,0.10452917891,0.0990238179407,0.121082759406,0.115635533918,0.093439317966,0.137603351775,0.148474117927,0.120959257057,0.0934716967069,0.0714910004796,0.0769705640832,0.104500293986,0.11544032708,0.137547653841,0.0989505696724,0.12106772787,0.0440423596197,0.0549469670399,0.0660144838089,0.11550423142,0.099006958245,0.0825242290964,0.115505490819,0.0659674391641,0.0440307812744,0.093501719153,0.0769642264627,0.0550339468194,0.0550127807918,0.0275091407607,0.060472031509,0.0385578234215,0.0494848318928,0.0880161835607,0.0605261450384,0.0605041664953,0.0604967726047,0.0494321402655,0.0329698296303,0.0495841619072,0.0495105886327,0.0439973056377,0.0384924484279,0.0440022213562,0.044054100468,0.0164796050267,0.0274510865314,0.038490189635,0.0274794676963,0.0329860149382,0.0495038447544,0.0219937817887,0.0329924744361,0.0330067706455,0.0330086150556,0.016481303184,0.0715331700317,0.0220172147344,0.0275065325861,0.00547921015942,0.0274784601771,0.044045162798,0.0164694892092,0.0274902132132,0.0165057192734,0.0,0.0165153313312,0.0219986528188,0.0165167126075,0.0110035027389,0.00549979523847,0.0110016583288,0.0220129246528,0.00550231403638,0.0274985658721,0.0109983838915,0.0109964135415,0.0165292050326,0.0165115246963,0.00549598047841,0.00551630148994,0.00550886291095,0.00550243185112,0.0275025187597,0.0165107365563,0.0165157497767,0.0274848302983,0.0109989607775,0.0164812463079,0.0109923753397,0.00549598047841,0.00550243185112,0.0,0.00550886291095,0.0,0.0165145960047,0.0,0.0165120284559,0.0109879877562,0.011012919793,0.0109884508901,0.0,0.00550231403638,0.00549598047841,0.0110140126263,0.0054880625153,0.0110067243626,0.00549598047841,0.0,0.0110169011187,0.0,0.0164843054286,0.00549979523847,0.0,0.0110137932471,0.0,0.0,0.00549598047841,0.0,0.0,0.0,0.0,0.0,0.00550877759683,0.00549795082839,0.00550877759683,0.0,0.00550803820777,0.00549442857389,0.00549979523847,0.0,0.00549598047841,0.00549901928621,0.0,0.0,0.0,0.0054880625153,0.0,0.0110110916332,0.0,0.0,0.00549598047841,0.00549237290979,0.0,0.00549710581232,0.0,0.00548474338967,0.0,0.0,0.0,0.00550370750039,0.0,0.0,0.00549795082839,0.00550803820777,0.0,0.0,0.0,0.0,0.0,0.00549237290979,0.0,0.00551630148994,0.0,0.0,0.0,0.0,0.0,0.0,0.00549392481431,0.0,0.0,0.0,0.0,0.0054880625153,0.00550803820777,0.0,0.00550493033615,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0109996879788,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00547487945204,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00550972823991,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00549710581232,0.00549710581232,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00549392481431,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0055142173878,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00549598047841,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_15
y10_M_15_weights = numpy.array([0.171738081197,0.156911819898,0.146062783658,0.171725775749,0.148012656072,0.128249545171,0.121394488641,0.124316852205,0.114487564847,0.119413271405,0.0917862576392,0.109541616429,0.115471840368,0.0947389238706,0.0799307399561,0.0858578775128,0.0986886921488,0.0888086999311,0.081916165896,0.0740052858809,0.0858781594566,0.080927761837,0.0631565302218,0.0690734065578,0.0582300220064,0.0572389323936,0.0493256073219,0.05919798379,0.045400089194,0.0453972833915,0.0463642431027,0.0463807171717,0.0355327631705,0.0424396067984,0.0453811299856,0.0384800061865,0.0305761967937,0.031587383969,0.0335534899546,0.0404611151989,0.0394825715316,0.0365159885197,0.0286302525033,0.0286245727574,0.0246780071023,0.0305851392871,0.0384927244885,0.0286133014478,0.0207281105588,0.0296105357682,0.0226914307833,0.0236928417411,0.0226906050757,0.0236800192236,0.0246659501681,0.021709091266,0.0217055880212,0.0197187671965,0.0197435263995,0.0217113278914,0.0128316323271,0.0148141442407,0.0148037387217,0.00986753846284,0.022708967049,0.0187429010664,0.00789183262442,0.0138138596123,0.0138216677598,0.0118344020151,0.0118415888778,0.0138172987245,0.00887640876712,0.00690421018184,0.0187466808833,0.00888321083407,0.0128188298511,0.00986465650283,0.00789943234093,0.00987156278529,0.0098675504877,0.00789752038693,0.00986233570332,0.0118470802341,0.00986960273183,0.0118376888123,0.00789728790616,0.00887895002254,0.00888601262829,0.0108487757006,0.00887637269252,0.00494040495436,0.00493162680079,0.00394604618078,0.0118410758167,0.000986794330005,0.00789850241781,0.00689994937031,0.00493692976753,0.00395231915354,0.00394512948502,0.00296125960289,0.00690833070324,0.0029604783873,0.00197674518784,0.000987783575805,0.0039457110878,0.00394813930945,0.00592262021466,0.00394953780159,0.00691033484789,0.00197417747771,0.00197379709105,0.0,0.00395059518831,0.0,0.00197502843753,0.00592739408722,0.00295981541625,0.00493513004564,0.00197140374151,0.00296065354954,0.00197618242402,0.00394603135011,0.0,0.00394863553567,0.00197177330579,0.00296188128856,0.00197234729281,0.000988009643322,0.00395129944474,0.0,0.00197572828484,0.00690603395347,0.00197349807267,0.000986315339434,0.00197393577786,0.0,0.00197502843753,0.00394307964587,0.00394403281706,0.000987659318837,0.0,0.000987944709035,0.000984736875107,0.000987944709035,0.0009888946736,0.0,0.00296328298733,0.0,0.00296173538683,0.00197415262632,0.000986137772218,0.0,0.0,0.00197493905268,0.00197384438887,0.000988009643322,0.0,0.000986201904847,0.000987733873018,0.00098629048804,0.0,0.0,0.00197453862458,0.00197431135457,0.0,0.0,0.0,0.000983908762537,0.0,0.0009888946736,0.0,0.0,0.000984219404958,0.0,0.0,0.0,0.000986455629559,0.0,0.0,0.0,0.0,0.000986137772218,0.0,0.000987862138276,0.0,0.0,0.0,0.0,0.0,0.0,0.000988172780696,0.000986315339434,0.0,0.0,0.0,0.0,0.0,0.000986201904847,0.0,0.000986201904847,0.0,0.0,0.0,0.0,0.0,0.000984219404958,0.0,0.0,0.0,0.0,0.0,0.000988572807969,0.0,0.0,0.0,0.000983908762537,0.000988172780696,0.000984219404958,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000988572807969,0.0,0.0,0.0,0.000987862138276,0.00197733280305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000986201904847,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000988009643322,0.0,0.0,0.0,0.0,0.0,0.0,0.000987862138276,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00098542870584,0.000984736875107,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000987733873018,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00197423479625,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000986455629559,0.0,0.0,0.0,0.000986794330005,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000985767807115,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_16
y10_M_16_weights = numpy.array([0.0579738251312,0.0524401125933,0.0557049885866,0.047141025882,0.0489022400081,0.0536928640651,0.0398258815458,0.0438615457914,0.0378088396447,0.0436039935325,0.0410906883999,0.0342798695571,0.0307457740316,0.0325187434558,0.0284896930657,0.0312548688632,0.0310005535125,0.0277303240172,0.0289885450236,0.0304943394892,0.0254625357668,0.0236979767022,0.0247066356915,0.0264713307942,0.020918412868,0.026716247508,0.0209236063251,0.0206708834212,0.0231883937337,0.0201655856549,0.0168901026857,0.0206731080453,0.0163820521471,0.018900034592,0.0216771217313,0.0153808352458,0.0143694995055,0.0153788586912,0.0131036323539,0.0123537939793,0.0161325381435,0.013612775199,0.0118477840132,0.00983200646685,0.0120968258844,0.00983117023224,0.0100861457682,0.0133574355609,0.00983115422775,0.00932573242665,0.00983225453645,0.00730921067149,0.010080132081,0.00983395901466,0.0108372925098,0.00730954676579,0.00680728185039,0.00680594547545,0.0063013479056,0.00882362355503,0.00655538717884,0.00730796232125,0.00832048639492,0.00680847018378,0.00378152134329,0.00630092378661,0.00479010791225,0.00554646011435,0.00529225679509,0.00453600462105,0.00655315055133,0.00554567589433,0.00428743888347,0.00403551620406,0.00453540845379,0.00579891094193,0.00428544632444,0.00353282396878,0.00352949823571,0.00504123036714,0.00504261475554,0.00328053198576,0.00428740687449,0.00327783522916,0.00327776080828,0.00252208839689,0.00478931568998,0.00302545442122,0.00277190408516,0.00302551723885,0.00176495917679,0.00327611154556,0.00151202581383,0.00403480400425,0.00201646613956,0.00352800181587,0.00277298558859,0.00151137083006,0.0015117833458,0.00226871331,0.0020173879982,0.0,0.00176508961338,0.00201801577432,0.0030246113847,0.00277238221931,0.00100844532933,0.00100958564926,0.00151376790259,0.000755759635856,0.000756258175726,0.00151353463714,0.00277197450492,0.00176496757915,0.00176478632829,0.000252186593448,0.00277326446683,0.00075814630546,0.00151327616463,0.000504275879596,0.00201614124841,0.000755868066277,0.00126026197899,0.00176480393323,0.0017639508939,0.0012615911519,0.00100844292866,0.00201611564122,0.000252125056183,0.000503813349828,0.000503602890782,0.000757409698797,0.00100762709977,0.00125993628761,0.00151250114719,0.000755988099954,0.000756714303697,0.00050462077636,0.000755467954022,0.00100841252013,0.00100844132821,0.000252324632176,0.000756199359224,0.00126092656544,0.000503385629827,0.000252086205283,0.00126248660313,0.0,0.00100901829008,0.00126069810135,0.000756703100554,0.000755848060664,0.0,0.000251770956837,0.000252186593448,0.000252089806293,0.000504636380738,0.000252186593448,0.00025161467299,0.000504535952562,0.00126039441614,0.00100813724289,0.000251550334939,0.0,0.00125998550142,0.0,0.0,0.0,0.000252220482956,0.000252449667256,0.0,0.000504361103506,0.00025164472142,0.000755339117875,0.000504220664104,0.0,0.000504199458155,0.0,0.000504131038959,0.000252089806293,0.000756244972022,0.000252186593448,0.000504135040082,0.0,0.0,0.0,0.000251958169361,0.0,0.000252082364206,0.0,0.000252449667256,0.000251550334939,0.0,0.0,0.0,0.000252305666855,0.000252324632176,0.000252358441662,0.0,0.000252186593448,0.0,0.0,0.0,0.000252186593448,0.0,0.000252358441662,0.0,0.0,0.000252048674754,0.00025201786611,0.0,0.0,0.0,0.0,0.000504233467697,0.0,0.0,0.0,0.000252147782559,0.0,0.000252147782559,0.0,0.0,0.0,0.0,0.000252082364206,0.000252086205283,0.000251938723906,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000251958169361,0.0,0.000252086205283,0.0,0.0,0.0,0.0,0.000251550334939,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00025164472142,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000252086205283,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000251958169361,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_17
y10_M_17_weights = numpy.array([0.0183245975829,0.0197573929883,0.0183171997235,0.0134567261532,0.01690471844,0.016883924457,0.0157320877532,0.0166074544565,0.0148904412925,0.012317065926,0.0123264232184,0.0154487797314,0.0146004252118,0.0137320964719,0.0128861512552,0.0117382134232,0.0102988499183,0.0100325369788,0.00801447692591,0.0120235208664,0.0140204130444,0.00915378825406,0.0108819811831,0.0102913320937,0.006300566864,0.00715156061991,0.00773896664773,0.00802672338226,0.00572244714909,0.00887261661406,0.00572153541291,0.0103157050411,0.0068698091477,0.00772748896892,0.00773180971867,0.00659075689443,0.00515373471208,0.0065848336084,0.00401117332436,0.00458455740958,0.00686360594266,0.00486498426509,0.00602059287745,0.00286499498325,0.00401044653466,0.00485900899409,0.00516236521475,0.00487481642005,0.0028644311464,0.00315261175827,0.00286279861879,0.0037204214565,0.00458089946804,0.00257605559093,0.00286442114929,0.00401287783114,0.00257502288975,0.00257636850039,0.00400715348754,0.00143458588732,0.00401077543949,0.00314911876901,0.00314800009271,0.00229807102872,0.00200662936046,0.00171773395542,0.00171850173326,0.00371889089939,0.00228885869441,0.00286379233125,0.00200857079869,0.00314983456189,0.00200309338364,0.00343923781998,0.00343848403809,0.00257066215158,0.00143366615346,0.0020008150429,0.00143226056018,0.000859453607962,0.00143576954482,0.00200299341256,0.000859006737269,0.00114064794139,0.000858312538143,0.000861499415986,0.00143017616332,0.00172170280699,0.00171206959446,0.000571036164615,0.000861228294438,0.00171773895397,0.000859073517945,0.00114537857253,0.00171616041074,0.0014330823224,0.000572765464224,0.00143236652952,0.000572889728267,0.00229121601229,0.000286183789678,0.0,0.000286315251638,0.00143259246414,0.00057085571683,0.00114449082941,0.0,0.000858161581824,0.000858431403748,0.00114296627056,0.000573262620367,0.000284774897356,0.000570390551431,0.000857390105059,0.00143584852197,0.000855988110741,0.00114741898212,0.000286315251638,0.000573138356324,0.000573006994335,0.0,0.0,0.000857664625623,0.00143159875168,0.000861216697794,0.0,0.000570257489933,0.000860979166526,0.000573273417243,0.000571981191162,0.000284909558391,0.000286823104686,0.000571903713581,0.0008584688929,0.000287128716254,0.000575049103429,0.0,0.000287772729901,0.0,0.000284468985875,0.000572313195093,0.0,0.000287128716254,0.0,0.000286450312557,0.0,0.000571619095938,0.000286315251638,0.0,0.000287128716254,0.000283567346774,0.000573460163206,0.00057408798154,0.0,0.0,0.000287128716254,0.0,0.0,0.000286450312557,0.0,0.0,0.0,0.00028643941571,0.0,0.000283567346774,0.000286315251638,0.000287131815357,0.0,0.0,0.0,0.000287276373527,0.0,0.0,0.0,0.0,0.000287772729901,0.000284540465192,0.0,0.000572765464224,0.000287128716254,0.0,0.000287276373527,0.000284909558391,0.0,0.0,0.000286315251638,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000284909558391,0.0,0.00028395763384,0.0,0.0,0.0,0.000286450312557,0.000287276373527,0.000286183789678,0.0,0.00028643941571,0.0,0.0,0.000284468985875,0.0,0.000283567346774,0.0,0.0,0.0,0.0,0.000284468985875,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00028643941571,0.0,0.0,0.0,0.0,0.0,0.00028395763384,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_18
y10_M_18_weights = numpy.array([0.00164151478952,0.00181289759307,0.00157685087401,0.00142433323368,0.00125269017185,0.00120972115213,0.00118784436891,0.00144583660284,0.00133891403441,0.00107993524976,0.00103641009035,0.00114332427687,0.00127450744351,0.00107952327892,0.00118815156588,0.000993640560067,0.00105868417607,0.000820743145516,0.000907341260324,0.000885826994683,0.000799209601483,0.000907328268365,0.000840861404167,0.000950319919246,0.000475196001833,0.000367572621971,0.000710815243517,0.000518339365272,0.000756132455127,0.000626546042201,0.000367378119766,0.000604778223805,0.00077737682329,0.000496791571994,0.000669716646846,0.00053989093041,0.000496649917727,0.000540121432915,0.000602761117337,0.000259030375304,0.000367284200473,0.000367036976058,0.000648211182209,0.000324148967485,0.000259253627458,0.00021590683508,0.000388786521893,0.000367299329819,0.000345796547393,0.000323894073624,0.000280649372902,0.000302366690295,0.000259149649873,0.00034559362137,0.000451869986501,0.000323903209905,0.000259173119219,0.000280740651894,0.000302476660945,0.000345612145389,0.000322548148542,0.000302260365776,0.000259346666651,0.000215998197891,0.000345740095234,0.000259159079521,0.000280719110387,0.000237603155791,0.000172751192144,0.000237574699209,0.000216138133867,0.00032381218237,0.000171237586966,0.000194366124515,0.000215887933875,0.000194487536471,0.000172721101089,8.64686562196e-05,0.000214293862368,0.000216087549044,0.000259332333586,0.000107866203774,0.000129464498056,0.000172686274256,0.000151284871024,0.000129656443778,6.4752554203e-05,0.000108008025679,0.000172827551337,0.000107987196634,0.000172853241889,0.000129592447901,0.00017282633596,0.00025934578655,6.48493233457e-05,6.48335234467e-05,0.000129618515639,0.000108059448692,8.65591808398e-05,6.48711582193e-05,6.47415739019e-05,6.47861237497e-05,6.48378820395e-05,0.000129600787901,0.000107990214122,0.0,0.000129626604181,0.00010795153161,6.48155023417e-05,4.32340556977e-05,0.0,0.000151264712532,6.48255606329e-05,0.000107884560155,8.63938476793e-05,0.000108009366784,0.000194459750442,4.33305314735e-05,8.64548260693e-05,6.4705070687e-05,2.16093751657e-05,4.32496879586e-05,8.63901596392e-05,4.31353168064e-05,6.47695275693e-05,6.48655004306e-05,4.32362769037e-05,6.48877543997e-05,4.32011147943e-05,2.16179959594e-05,2.15556597001e-05,0.000107804387193,8.63847113982e-05,6.48861618369e-05,2.16093751657e-05,6.48234651555e-05,6.48794563095e-05,0.000151358841373,0.0,0.0,0.0,2.1559456705e-05,4.32023720807e-05,0.0,2.16403295567e-05,2.16179959594e-05,4.31768072574e-05,2.15937470959e-05,6.47352455604e-05,2.1559456705e-05,2.16751857264e-05,0.0,4.31850215285e-05,2.15912660507e-05,4.31172118824e-05,8.63752817502e-05,2.16093751657e-05,4.31242945957e-05,0.0,2.16292025721e-05,4.31688444436e-05,0.0,2.15827542218e-05,0.0,2.16751857264e-05,0.0,2.15977871761e-05,0.0,2.16257659893e-05,2.15556597001e-05,0.0,0.0,0.0,6.48019236487e-05,4.31541341928e-05,0.0,0.0,2.16179959594e-05,2.16553289833e-05,2.15983655279e-05,0.0,0.0,0.0,0.0,4.32204350952e-05,2.15933950557e-05,2.16751857264e-05,2.16403295567e-05,0.0,0.0,0.0,0.0,0.0,2.16751857264e-05,0.0,0.0,0.0,0.0,0.0,2.15940320808e-05,0.0,0.0,0.0,0.0,2.15933950557e-05,0.0,0.0,2.15789823627e-05,0.0,0.0,2.16086166029e-05,2.16751857264e-05,0.0,0.0,0.0,2.16093751657e-05,0.0,0.0,0.0,0.0,0.0,2.16142031454e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.46766560145e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.16292025721e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.32315830345e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15259500227e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15789823627e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15827542218e-05,0.0,0.0,2.15827542218e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15789823627e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y10_M_19
y10_M_19_weights = numpy.array([0.000198600128315,5.59145952508e-05,0.000170155435845,0.000141986005013,5.68463094188e-05,0.000113420460538,8.52347705897e-05,0.000113597543842,0.000141884589705,2.84292648704e-05,8.47386225498e-05,8.4767547443e-05,8.52254902723e-05,0.000142025799014,8.52862800633e-05,0.00011367298911,5.68266796915e-05,5.68781743166e-05,2.83684899279e-05,0.0,2.81091458905e-05,0.00016967983814,0.000113345475574,0.000140514428798,8.51264507252e-05,5.67791347695e-05,0.000142092973663,2.84489094462e-05,2.6750626214e-05,2.84292648704e-05,0.000141837208116,8.51662447262e-05,0.000113662506064,0.000142071799691,5.66865988688e-05,2.84292648704e-05,2.83498698991e-05,0.000113526404641,5.65598965517e-05,8.51054549352e-05,2.83973999726e-05,5.66138114835e-05,0.0,8.52544151655e-05,5.68266796915e-05,2.84080908982e-05,0.0,0.0,2.84080908982e-05,5.67765808261e-05,5.67658899005e-05,0.0,8.36089035301e-05,8.51872256677e-05,0.0,8.51343798284e-05,2.83973999726e-05,8.52147993467e-05,5.68266796915e-05,5.67791347695e-05,2.75171952782e-05,2.83973999726e-05,2.83684899279e-05,2.83973999726e-05,0.0,0.0,2.84489094462e-05,0.0,0.0,0.0,0.0,5.68266796915e-05,5.67472698717e-05,2.84292648704e-05,2.84292648704e-05,0.0,5.67977547983e-05,5.68373706171e-05,2.84292648704e-05,2.84489094462e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.84489094462e-05,2.83498698991e-05,0.0,5.67948147937e-05,2.84489094462e-05,0.0,0.0,5.68570003444e-05,0.0,0.0,8.51313804298e-05,0.0,0.0,0.0,2.83684899279e-05,5.67472698717e-05,2.84292648704e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.66287936279e-05,0.0,2.84292648704e-05,0.0,0.0,2.84489094462e-05,2.83498698991e-05,2.84080908982e-05,0.0,0.0,2.84489094462e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.68173993741e-05,0.0,0.0,0.0,0.0,0.0,0.0,2.84489094462e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.79727326493e-05,0.0,5.68266796915e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.83684899279e-05,0.0,0.0,2.83498698991e-05,0.0,2.81624965791e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.84292648704e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.83498698991e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.83684899279e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating a new Canvas
fig = plt.figure(figsize=(12,6),dpi=80)
frame = gridspec.GridSpec(1,1,right=0.7)
pad = fig.add_subplot(frame[0])
# Creating a new Stack
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights+y10_M_17_weights+y10_M_18_weights+y10_M_19_weights,\
label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights+y10_M_17_weights+y10_M_18_weights,\
label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights+y10_M_17_weights,\
label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights,\
label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights,\
label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights,\
label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights,\
label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights,\
label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights,\
label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights,\
label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights,\
label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights,\
label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights,\
label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights,\
label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights,\
label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#758991", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights,\
label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#688296", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights,\
label="$signal\_2pt4TeVL$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#6d7a84", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights+y10_M_2_weights,\
label="$signal\_2pt2TeVL$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7c99d1", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights+y10_M_1_weights,\
label="$signal\_2TeVL$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7f7f9b", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y10_M_0_weights,\
label="$signal\_1pt8TeVL$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#aaa5bf", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
# Axis
plt.rc('text',usetex=False)
plt.xlabel(r"M [ a_{1} , a_{2} ] ( GeV ) ",\
fontsize=16,color="black")
plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 40.0\ \mathrm{fb}^{-1})$ ",\
fontsize=16,color="black")
# Boundary of y-axis
ymax=(y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights+y10_M_17_weights+y10_M_18_weights+y10_M_19_weights).max()*1.1
ymin=0 # linear scale
#ymin=min([x for x in (y10_M_0_weights+y10_M_1_weights+y10_M_2_weights+y10_M_3_weights+y10_M_4_weights+y10_M_5_weights+y10_M_6_weights+y10_M_7_weights+y10_M_8_weights+y10_M_9_weights+y10_M_10_weights+y10_M_11_weights+y10_M_12_weights+y10_M_13_weights+y10_M_14_weights+y10_M_15_weights+y10_M_16_weights+y10_M_17_weights+y10_M_18_weights+y10_M_19_weights) if x])/100. # log scale
plt.gca().set_ylim(ymin,ymax)
# Log/Linear scale for X-axis
plt.gca().set_xscale("linear")
#plt.gca().set_xscale("log",nonposx="clip")
# Log/Linear scale for Y-axis
plt.gca().set_yscale("linear")
#plt.gca().set_yscale("log",nonposy="clip")
# Legend
plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.)
# Saving the image
plt.savefig('../../HTML/MadAnalysis5job_0/selection_9.png')
plt.savefig('../../PDF/MadAnalysis5job_0/selection_9.png')
plt.savefig('../../DVI/MadAnalysis5job_0/selection_9.eps')
# Running!
if __name__ == '__main__':
selection_9()
| 397.761468
| 6,505
| 0.763009
| 19,136
| 86,712
| 3.408393
| 0.140364
| 0.298238
| 0.429787
| 0.550603
| 0.366634
| 0.29439
| 0.291278
| 0.271576
| 0.268847
| 0.260062
| 0
| 0.679501
| 0.021773
| 86,712
| 217
| 6,506
| 399.59447
| 0.08942
| 0.016664
| 0
| 0.171875
| 0
| 0.007813
| 0.013904
| 0.002347
| 0
| 0
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| 0
| 1
| 0.007813
| false
| 0
| 0.03125
| 0
| 0.039063
| 0
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| null | 1
| 1
| 1
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| 1
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| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
67d3f3d6518861c5c5eb453be69a462917aa1fab
| 2,924
|
py
|
Python
|
simple_rest_client/request.py
|
cfytrok/python-simple-rest-client
|
4896e8226ffe194625c63773ea6f49531293b308
|
[
"MIT"
] | null | null | null |
simple_rest_client/request.py
|
cfytrok/python-simple-rest-client
|
4896e8226ffe194625c63773ea6f49531293b308
|
[
"MIT"
] | null | null | null |
simple_rest_client/request.py
|
cfytrok/python-simple-rest-client
|
4896e8226ffe194625c63773ea6f49531293b308
|
[
"MIT"
] | null | null | null |
import logging
from .decorators import handle_async_request_error, handle_request_error
from .models import Response
logger = logging.getLogger(__name__)
@handle_request_error
def make_request(client, request):
logger.debug("operation=request_started, request=%r", request)
method = request.method
client_method = getattr(client, method.lower())
client_options = {
"params": request.params,
"headers": request.headers,
"timeout": request.timeout,
"verify": request.ssl_verify,
**request.kwargs,
}
if method.lower() in ("post", "put", "patch"):
if request.headers.get("Content-Type") == "application/json":
client_options["json"] = request.body
else:
client_options["data"] = request.body
client_response = client_method(request.url, **client_options)
content_type = client_response.headers.get("Content-Type", "")
if "text" in content_type:
body = client_response.text
elif "json" in content_type:
body = client_response.text
if body:
body = client_response.json()
else:
body = client_response.content
response = Response(
url=str(client_response.url),
method=method,
body=body,
headers=client_response.headers,
status_code=client_response.status_code,
client_response=client_response,
)
logger.debug("operation=request_finished, request=%r, response=%r", request, response)
return response
@handle_async_request_error
async def make_async_request(client, request):
logger.debug("operation=request_started, request=%r", request)
method = request.method
client_method = getattr(client, method.lower())
client_options = {
"params": request.params,
"headers": request.headers,
"timeout": request.timeout,
"verify": request.ssl_verify,
**request.kwargs,
}
if method.lower() in ("post", "put", "patch"):
if request.headers.get("Content-Type") == "application/json":
client_options["json"] = request.body
else:
client_options["data"] = request.body
client_response = await client_method(request.url, **client_options)
content_type = client_response.headers.get("Content-Type", "")
if "text" in content_type:
body = client_response.text
elif "json" in content_type:
body = client_response.text
if body:
body = client_response.json()
else:
body = client_response.content
response = Response(
url=str(client_response.url),
method=method,
body=body,
headers=client_response.headers,
status_code=client_response.status_code,
client_response=client_response,
)
logger.debug("operation=request_finished, request=%r, response=%r", request, response)
return response
| 33.609195
| 90
| 0.657661
| 326
| 2,924
| 5.693252
| 0.159509
| 0.165948
| 0.096983
| 0.05819
| 0.895474
| 0.895474
| 0.895474
| 0.895474
| 0.895474
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| 0
| 0
| 0.229822
| 2,924
| 86
| 91
| 34
| 0.824156
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| 0.124487
| 0.036252
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| 0
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| 0.012821
| false
| 0
| 0.038462
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| 0.076923
| 0
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| null | 0
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
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| 0
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| 0
| 1
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| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
67de1d750ff785993f607f50c13fa0377406a71d
| 1,350
|
py
|
Python
|
MascotasPasto/mascotas/models.py
|
FabianBedoya/Frameworks-7a-2020B
|
0828dd00cd05626216b856ca6060da70bb773986
|
[
"MIT"
] | null | null | null |
MascotasPasto/mascotas/models.py
|
FabianBedoya/Frameworks-7a-2020B
|
0828dd00cd05626216b856ca6060da70bb773986
|
[
"MIT"
] | null | null | null |
MascotasPasto/mascotas/models.py
|
FabianBedoya/Frameworks-7a-2020B
|
0828dd00cd05626216b856ca6060da70bb773986
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Tipos(models.Model) :
codigo = models.CharField(max_length=20)
nombre = models.CharField(max_length=20)
abreviatura = models.CharField(max_length=5)
estado = models.BooleanField(default=True)
fecha_creacion = models.DateTimeField('Date creatio')
fecha_modificacion = models.DateTimeField('Date update')
class Razas(models.Model) :
codigo = models.CharField(max_length=20)
nombre = models.CharField(max_length=20)
abreviatura = models.CharField(max_length=5)
id_tipo = models.ForeignKey(Tipos, null = True, blank = True, on_delete = models.CASCADE)
estado = models.BooleanField(default=True)
fecha_creacion = models.DateTimeField('Date creatio')
fecha_modificacion = models.DateTimeField('Date update')
class Mascotas(models.Model) :
codigo = models.CharField(max_length=20)
id_tipo = models.ForeignKey(Tipos, null = True, blank = True, on_delete = models.CASCADE)
id_raza = models.ForeignKey(Razas, null = True, blank = True, on_delete = models.CASCADE)
nombre = models.CharField(max_length=25)
tiene_vacunas = models.BooleanField(default=True)
estado = models.BooleanField(default=True)
fecha_creacion = models.DateTimeField('Date creatio')
fecha_modificacion = models.DateTimeField('Date update')
| 46.551724
| 93
| 0.742963
| 165
| 1,350
| 5.951515
| 0.266667
| 0.1222
| 0.14664
| 0.195519
| 0.860489
| 0.829939
| 0.829939
| 0.829939
| 0.747454
| 0.747454
| 0
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| 0.15037
| 1,350
| 29
| 94
| 46.551724
| 0.843941
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| 0
|
0
| 9
|
67e67a298cf11f047dba57c0c695cecc10ac1fa0
| 7,562
|
gyp
|
Python
|
chrome/browser/resources/md_extensions/compiled_resources2.gyp
|
xzhan96/chromium.src
|
1bd0cf3997f947746c0fc5406a2466e7b5f6159e
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 1
|
2021-01-07T18:51:03.000Z
|
2021-01-07T18:51:03.000Z
|
chrome/browser/resources/md_extensions/compiled_resources2.gyp
|
emilio/chromium.src
|
1bd0cf3997f947746c0fc5406a2466e7b5f6159e
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null |
chrome/browser/resources/md_extensions/compiled_resources2.gyp
|
emilio/chromium.src
|
1bd0cf3997f947746c0fc5406a2466e7b5f6159e
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null |
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'target_name': 'animation_helper',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'code_section',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(EXTERNS_GYP):developer_private',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'detail_view',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:load_time_data',
'<(DEPTH)/third_party/polymer/v1_0/components-chromium/neon-animation/compiled_resources2.gyp:neon-animatable-behavior-extracted',
'<(EXTERNS_GYP):developer_private',
'animation_helper',
'item',
'item_source',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'drop_overlay',
'dependencies': [
'<(DEPTH)/chrome/browser/resources/extensions/compiled_resources2.gyp:drag_and_drop_handler',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:load_time_data',
'<(DEPTH)/ui/webui/resources/js/cr/ui/compiled_resources2.gyp:drag_wrapper',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'error_page',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/third_party/polymer/v1_0/components-chromium/neon-animation/compiled_resources2.gyp:neon-animatable-behavior-extracted',
'<(EXTERNS_GYP):developer_private',
'animation_helper',
'code_section',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'extensions',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'manager',
'service',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'item',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:load_time_data',
'<(EXTERNS_GYP):developer_private',
'item_source',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'item_list',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
'<(DEPTH)/third_party/polymer/v1_0/components-chromium/neon-animation/compiled_resources2.gyp:neon-animatable-behavior-extracted',
'<(DEPTH)/third_party/polymer/v1_0/components-chromium/iron-resizable-behavior/compiled_resources2.gyp:iron-resizable-behavior-extracted',
'<(EXTERNS_GYP):developer_private',
'animation_helper',
'item',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'item_source',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:load_time_data',
'<(EXTERNS_GYP):developer_private',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'keyboard_shortcuts',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/third_party/polymer/v1_0/components-chromium/neon-animation/compiled_resources2.gyp:neon-animatable-behavior-extracted',
'<(EXTERNS_GYP):developer_private',
'animation_helper',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'manager',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
'<(EXTERNS_GYP):developer_private',
'animation_helper',
'detail_view',
'item',
'item_list',
'keyboard_shortcuts',
'sidebar',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'options_dialog',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(EXTERNS_GYP):developer_private',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'pack_dialog',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'service',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(EXTERNS_GYP):developer_private',
'<(EXTERNS_GYP):management',
'error_page',
'item',
'manager',
'pack_dialog',
'sidebar',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'shortcut_input',
'dependencies': [
'<(DEPTH)/chrome/browser/resources/extensions/compiled_resources2.gyp:shortcut_util',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(EXTERNS_GYP):developer_private',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
{
'target_name': 'sidebar',
'dependencies': [
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:assert',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:cr',
'<(DEPTH)/ui/webui/resources/js/compiled_resources2.gyp:i18n_behavior',
],
'includes': ['../../../../third_party/closure_compiler/compile_js2.gypi'],
},
]
}
| 41.097826
| 146
| 0.628008
| 790
| 7,562
| 5.775949
| 0.120253
| 0.18146
| 0.211703
| 0.179487
| 0.887136
| 0.883191
| 0.874206
| 0.874206
| 0.854482
| 0.809336
| 0
| 0.014304
| 0.186459
| 7,562
| 183
| 147
| 41.322404
| 0.727406
| 0.020497
| 0
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| 0
| 0.027778
| 0.730109
| 0.608537
| 0
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| 0.066667
| 1
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| true
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| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
|
0
| 11
|
db1ae9c852d3517a6d295afea5ad93f7baef0d56
| 3,948
|
py
|
Python
|
test/test_init_thrs_multiplier.py
|
WoojunePark/LQ-Nets
|
2f80fb9afe5ad866ccb93ffd1814b58ff0e565d7
|
[
"MIT"
] | 2
|
2020-03-27T03:56:06.000Z
|
2020-03-30T01:51:41.000Z
|
test/test_init_thrs_multiplier.py
|
WoojunePark/LQ-Nets
|
2f80fb9afe5ad866ccb93ffd1814b58ff0e565d7
|
[
"MIT"
] | null | null | null |
test/test_init_thrs_multiplier.py
|
WoojunePark/LQ-Nets
|
2f80fb9afe5ad866ccb93ffd1814b58ff0e565d7
|
[
"MIT"
] | 1
|
2020-08-27T15:56:26.000Z
|
2020-08-27T15:56:26.000Z
|
nbit = 3
num_levels = 2 ** nbit
# initialize threshold multiplier
init_thrs_multiplier = []
for i in range(1, num_levels):
thrs_multiplier_i = [0. for j in range(num_levels)]
print(f'for i={i}, initial thrs_multiplier_i is {thrs_multiplier_i}')
thrs_multiplier_i[i - 1] = 0.5
print(f'for i={i}, initial thrs_multiplier_i[i-1] is {thrs_multiplier_i[i - 1]}')
thrs_multiplier_i[i] = 0.5
print(f'for i={i}, initial thrs_multiplier_i[i] is {thrs_multiplier_i[i]}')
init_thrs_multiplier.append(thrs_multiplier_i)
print(f'current init_thrs_multiplier is {init_thrs_multiplier}')
print('----------------')
print(f'final init_thrs_multiplier is {init_thrs_multiplier}')
# C:\ProgramData\Anaconda3\python.exe D:/GitHub/LQ-Nets/test/test_init_thrs_multiplier.py
# for i=1, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=1, initial thrs_multiplier_i[i-1] is 0.5
# for i=1, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]
# ----------------
# for i=2, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=2, initial thrs_multiplier_i[i-1] is 0.5
# for i=2, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0]]
# ----------------
# for i=3, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=3, initial thrs_multiplier_i[i-1] is 0.5
# for i=3, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0]]
# ----------------
# for i=4, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=4, initial thrs_multiplier_i[i-1] is 0.5
# for i=4, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0]]
# ----------------
# for i=5, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=5, initial thrs_multiplier_i[i-1] is 0.5
# for i=5, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0]]
# ----------------
# for i=6, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=6, initial thrs_multiplier_i[i-1] is 0.5
# for i=6, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0]]
# ----------------
# for i=7, initial thrs_multiplier_i is [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
# for i=7, initial thrs_multiplier_i[i-1] is 0.5
# for i=7, initial thrs_multiplier_i[i] is 0.5
# current init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5]]
# ----------------
# final init_thrs_multiplier is [[0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.5]]
#
# Process finished with exit code 0
| 69.263158
| 328
| 0.556991
| 1,065
| 3,948
| 1.974648
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| 0.820257
| 0.819306
| 0.779363
| 0.775559
| 0.757014
| 0
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| 3,948
| 57
| 329
| 69.263158
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| null | 0
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| 1
|
0
| 14
|
db2e57c781bbf3e9b380a21e47b704f485363df6
| 2,447
|
py
|
Python
|
hw3/plot_ac.py
|
hatim-ez/berkeley-cs294-deep-rl
|
8ffd415e8140b18f9456bc8560a099e98456bf05
|
[
"MIT"
] | 3
|
2018-11-17T10:32:53.000Z
|
2019-04-28T02:23:53.000Z
|
hw3/plot_ac.py
|
hatim-ez/berkeley-cs294-deep-rl
|
8ffd415e8140b18f9456bc8560a099e98456bf05
|
[
"MIT"
] | null | null | null |
hw3/plot_ac.py
|
hatim-ez/berkeley-cs294-deep-rl
|
8ffd415e8140b18f9456bc8560a099e98456bf05
|
[
"MIT"
] | null | null | null |
from pylab import *
import os
from os.path import join
dirnames = os.listdir("data")
fig, ax = plt.subplots(figsize=(25,20))
ax.set_title("Finding best target update per gradient steps ratio for actor-critic on cartpole")
ax.set_xlabel("Iteration")
ax.set_ylabel("Average return")
for dirname in dirnames:
if not ("CartPole" in dirname) or dirname == "ac_1_1_CartPole-v0_10-10-2018_20-40-20":
continue
print(dirname)
experiments = {}
for subdirname in os.listdir(os.path.join("data", dirname)):
experiments[subdirname] = np.genfromtxt(join("data", dirname, subdirname, 'log.txt'), delimiter='\t', dtype=None, names=True)
for key, data in experiments.items():
errorbar(data['Iteration'], data['AverageReturn'], np.sqrt(data['StdReturn']), label=dirname[3:8] + "_{}".format(key))
ax.legend(prop={'size': 10}).draggable()
plt.savefig("figs/ac_update_settings_comparison.png")
#plt.show()
fig, ax = plt.subplots(figsize=(25,20))
ax.set_title("AC results on Inverted Pendulum for ntu=10, ngsptu=10")
ax.set_xlabel("Iteration")
ax.set_ylabel("Average return")
for dirname in dirnames:
if not ("InvertedPendulum" in dirname):
continue
print(dirname)
experiments = {}
for subdirname in os.listdir(os.path.join("data", dirname)):
experiments[subdirname] = np.genfromtxt(join("data", dirname, subdirname, 'log.txt'), delimiter='\t', dtype=None, names=True)
for key, data in experiments.items():
errorbar(data['Iteration'], data['AverageReturn'], np.sqrt(data['StdReturn']), label=dirname[3:8] + "_{}".format(key))
ax.legend(prop={'size': 10}).draggable()
plt.savefig("figs/ac_inverted_pendulum_results.png")
fig, ax = plt.subplots(figsize=(25,20))
ax.set_title("AC results on Inverted Pendulum for ntu=10, ngsptu=10")
ax.set_xlabel("Iteration")
ax.set_ylabel("Average return")
for dirname in dirnames:
if not ("HalfCheetah" in dirname):
continue
print(dirname)
experiments = {}
for subdirname in os.listdir(os.path.join("data", dirname)):
experiments[subdirname] = np.genfromtxt(join("data", dirname, subdirname, 'log.txt'), delimiter='\t', dtype=None, names=True)
for key, data in experiments.items():
errorbar(data['Iteration'], data['AverageReturn'], np.sqrt(data['StdReturn']), label=dirname[3:8] + "_{}".format(key))
ax.legend(prop={'size': 10}).draggable()
plt.savefig("figs/ac_half_cheetah_results.png")
| 37.646154
| 133
| 0.69432
| 341
| 2,447
| 4.906158
| 0.26393
| 0.026898
| 0.053796
| 0.028691
| 0.824268
| 0.824268
| 0.824268
| 0.824268
| 0.824268
| 0.824268
| 0
| 0.023245
| 0.138537
| 2,447
| 65
| 134
| 37.646154
| 0.770398
| 0.004087
| 0
| 0.77551
| 0
| 0
| 0.247947
| 0.059524
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.061224
| 0
| 0.061224
| 0.061224
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
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| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
c0555c19a15e3f8a056a9fd7167774f00d47449b
| 39
|
py
|
Python
|
agent/src/agent/data_extractor/__init__.py
|
anodot/daria
|
d475899309f56cd85347be0f7001a0dd97dd197a
|
[
"Apache-2.0"
] | 16
|
2019-04-03T08:31:54.000Z
|
2021-01-24T17:12:04.000Z
|
agent/src/agent/data_extractor/__init__.py
|
anodot/daria
|
d475899309f56cd85347be0f7001a0dd97dd197a
|
[
"Apache-2.0"
] | 10
|
2020-01-20T14:59:06.000Z
|
2022-01-21T10:19:16.000Z
|
agent/src/agent/data_extractor/__init__.py
|
anodot/daria
|
d475899309f56cd85347be0f7001a0dd97dd197a
|
[
"Apache-2.0"
] | 5
|
2021-01-08T19:23:03.000Z
|
2021-11-09T14:15:49.000Z
|
from . import cacti
from . import snmp
| 13
| 19
| 0.74359
| 6
| 39
| 4.833333
| 0.666667
| 0.689655
| 0
| 0
| 0
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| 39
| 2
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|
0
| 7
|
2253e610a5c53ed127912c6dc911bef8e4e5f8cf
| 13,842
|
py
|
Python
|
planetary_systems/migrations/0001_initial.py
|
Neo1277/nasa-datasetcsv-django-mysql
|
7a66148080358685eb65c15ba89c9a7a8e811092
|
[
"MIT"
] | 1
|
2021-03-03T00:14:04.000Z
|
2021-03-03T00:14:04.000Z
|
planetary_systems/migrations/0001_initial.py
|
Neo1277/nasa-datasetcsv-django-mysql
|
7a66148080358685eb65c15ba89c9a7a8e811092
|
[
"MIT"
] | null | null | null |
planetary_systems/migrations/0001_initial.py
|
Neo1277/nasa-datasetcsv-django-mysql
|
7a66148080358685eb65c15ba89c9a7a8e811092
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.1.5 on 2021-01-14 03:22
from django.db import migrations, models
import django.db.models.deletion
import planetary_systems.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DiscoveryFacility',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=255)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
],
),
migrations.CreateModel(
name='DiscoveryMethod',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=255)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
],
),
migrations.CreateModel(
name='PlanetarySystem',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=255)),
('number_of_stars', models.PositiveSmallIntegerField()),
('number_of_planets', models.PositiveSmallIntegerField()),
('publication_reference', models.CharField(max_length=255)),
('right_ascension_sexagesimal', models.CharField(max_length=23)),
('right_ascension_decimal', models.DecimalField(decimal_places=10, max_digits=23)),
('declination_sexagesimal', models.CharField(max_length=23)),
('declination_decimal', models.DecimalField(decimal_places=10, max_digits=23)),
('distance', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('distance_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('distance_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_v_magnitude', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_v_magnitude_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_v_magnitude_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_ks_magnitude', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_ks_magnitude_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_ks_magnitude_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_gaia_magnitude', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_gaia_magnitude_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('brightness_gaia_magnitude_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
],
),
migrations.CreateModel(
name='SolutionType',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=255)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
],
),
migrations.CreateModel(
name='SpectralType',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=20)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
],
),
migrations.CreateModel(
name='Star',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('hd_name', models.CharField(help_text='Name of the star as given by the Henry Draper Catalog', max_length=255, null=True)),
('hip_name', models.CharField(help_text='Name of the star as given by the Hipparcos Catalog', max_length=255, null=True)),
('tic_id', models.CharField(help_text='Name of the star as given by the TESS Input Catalog', max_length=255, null=True)),
('gaia_id', models.CharField(help_text='Name of the star as given by the Gaia Catalog', max_length=255, null=True)),
('publication_reference', models.CharField(max_length=255)),
('effective_temperature', models.DecimalField(decimal_places=4, max_digits=10, null=True)),
('effective_temperature_err1', models.DecimalField(decimal_places=4, max_digits=10, null=True)),
('effective_temperature_err2', models.DecimalField(decimal_places=4, max_digits=10, null=True)),
('effective_temperature_limit', models.SmallIntegerField(null=True)),
('radius', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('radius_err1', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('radius_err2', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('radius_limit', models.SmallIntegerField(null=True)),
('mass', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('mass_err1', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('mass_err2', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('mass_limit', models.SmallIntegerField(null=True)),
('measurement', models.DecimalField(decimal_places=4, max_digits=7, null=True)),
('measurement_err1', models.DecimalField(decimal_places=4, max_digits=7, null=True)),
('measurement_err2', models.DecimalField(decimal_places=4, max_digits=7, null=True)),
('measurement_limit', models.SmallIntegerField(null=True)),
('metallicity_ratio', models.CharField(max_length=20, null=True)),
('surface_gravity', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('surface_gravity_err1', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('surface_gravity_err2', models.DecimalField(decimal_places=3, max_digits=7, null=True)),
('surface_gravity_limit', models.SmallIntegerField(null=True)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
('planetary_system', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='star_planetary_system', to='planetary_systems.planetarysystem')),
('spectral_type', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='star_spectral_type', to='planetary_systems.spectraltype')),
],
),
migrations.CreateModel(
name='Planet',
fields=[
('id', planetary_systems.models.UnsignedAutoField(primary_key=True, serialize=False, unique=True)),
('name', models.CharField(max_length=255)),
('planet_letter', models.CharField(max_length=1)),
('explicit', models.BooleanField()),
('discovery_year', models.PositiveSmallIntegerField()),
('controversial_flag', models.BooleanField()),
('publication_reference', models.CharField(max_length=255)),
('orbital_period', models.DecimalField(decimal_places=10, max_digits=25, null=True)),
('orbital_period_err1', models.DecimalField(decimal_places=10, max_digits=25, null=True)),
('orbital_period_err2', models.DecimalField(decimal_places=10, max_digits=25, null=True)),
('orbital_period_limit', models.SmallIntegerField(null=True)),
('orbit_semi_major_axis', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('orbit_semi_major_axis_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('orbit_semi_major_axis_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('orbit_semi_major_axis_limit', models.SmallIntegerField(null=True)),
('earth_radius', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('earth_radius_err1', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('earth_radius_err2', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('earth_radius_limit', models.SmallIntegerField(null=True)),
('jupiter_radius', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('jupiter_radius_err1', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('jupiter_radius_err2', models.DecimalField(decimal_places=4, max_digits=9, null=True)),
('jupiter_radius_limit', models.SmallIntegerField(null=True)),
('earth_mass', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('earth_mass_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('earth_mass_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('earth_mass_limit', models.SmallIntegerField(null=True)),
('jupiter_mass', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('jupiter_mass_err1', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('jupiter_mass_err2', models.DecimalField(decimal_places=10, max_digits=23, null=True)),
('jupiter_mass_limit', models.SmallIntegerField(null=True)),
('mass_provenance', models.CharField(max_length=20, null=True)),
('eccentricity', models.DecimalField(decimal_places=10, max_digits=14, null=True)),
('eccentricity_err1', models.DecimalField(decimal_places=10, max_digits=14, null=True)),
('eccentricity_err2', models.DecimalField(decimal_places=10, max_digits=14, null=True)),
('eccentricity_limit', models.SmallIntegerField(null=True)),
('insolation_flux', models.DecimalField(decimal_places=3, max_digits=8, null=True)),
('insolation_flux_err1', models.DecimalField(decimal_places=3, max_digits=8, null=True)),
('insolation_flux_err2', models.DecimalField(decimal_places=3, max_digits=8, null=True)),
('insolation_flux_limit', models.SmallIntegerField(null=True)),
('equilibrium_temperature', models.SmallIntegerField(null=True)),
('equilibrium_temperature_err1', models.SmallIntegerField(null=True)),
('equilibrium_temperature_err2', models.SmallIntegerField(null=True)),
('equilibrium_temperature_limit', models.SmallIntegerField(null=True)),
('transit_timing_variations', models.BooleanField()),
('date_last_update', models.DateField()),
('reference_date_publication', models.CharField(max_length=25)),
('release_date', models.CharField(max_length=25)),
('row_created_on', models.DateTimeField(auto_now_add=True, help_text='Date and time when the register was created')),
('row_updated_on', models.DateTimeField(auto_now=True, help_text='Date and time when the register was updated')),
('discovery_facility', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='planet_discovery_facility', to='planetary_systems.discoveryfacility')),
('discovery_method', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='planet_discovery_method', to='planetary_systems.discoverymethod')),
('planetary_system', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='planet_planetary_system', to='planetary_systems.planetarysystem')),
('solution_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='planet_solution_type', to='planetary_systems.solutiontype')),
],
),
]
| 78.647727
| 187
| 0.658648
| 1,547
| 13,842
| 5.641888
| 0.100194
| 0.068744
| 0.15181
| 0.188245
| 0.871104
| 0.848992
| 0.749083
| 0.725137
| 0.720555
| 0.708868
| 0
| 0.024761
| 0.215142
| 13,842
| 175
| 188
| 79.097143
| 0.778627
| 0.003251
| 0
| 0.339286
| 1
| 0
| 0.229721
| 0.077057
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.017857
| 0
| 0.041667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
97d3e775aa23a35b1a9c70118ef82af1da68b459
| 116
|
py
|
Python
|
flaskexample/setting.py
|
hinowashi/InshightWebapp
|
e1eb89d14a403ee13788115e1600ebecb0089277
|
[
"MIT"
] | null | null | null |
flaskexample/setting.py
|
hinowashi/InshightWebapp
|
e1eb89d14a403ee13788115e1600ebecb0089277
|
[
"MIT"
] | null | null | null |
flaskexample/setting.py
|
hinowashi/InshightWebapp
|
e1eb89d14a403ee13788115e1600ebecb0089277
|
[
"MIT"
] | null | null | null |
MAPBOX_ACCESS_KEY = 'pk.eyJ1IjoiaGlub3dhc2hpIiwiYSI6ImNrYmIxbnF5bDAwM2kyc2xjaXo2NDJ1YWkifQ.q3H1blv9u7mMl0H06niDeQ'
| 58
| 115
| 0.922414
| 6
| 116
| 17.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.034483
| 116
| 1
| 116
| 116
| 0.794643
| 0
| 0
| 0
| 0
| 0
| 0.793103
| 0.793103
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
97e6f738c7ab7e9cf59befa44c92e2522d53621e
| 138
|
py
|
Python
|
discord/webhook/async_.py
|
kuzaku-developers/disnake
|
61cc1ad4c2bafd39726a1447c85f7e469e41af10
|
[
"MIT"
] | null | null | null |
discord/webhook/async_.py
|
kuzaku-developers/disnake
|
61cc1ad4c2bafd39726a1447c85f7e469e41af10
|
[
"MIT"
] | null | null | null |
discord/webhook/async_.py
|
kuzaku-developers/disnake
|
61cc1ad4c2bafd39726a1447c85f7e469e41af10
|
[
"MIT"
] | null | null | null |
from disnake.webhook.async_ import *
from disnake.webhook.async_ import __dict__ as __original_dict__
locals().update(__original_dict__)
| 27.6
| 64
| 0.84058
| 18
| 138
| 5.555556
| 0.555556
| 0.22
| 0.36
| 0.46
| 0.58
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086957
| 138
| 4
| 65
| 34.5
| 0.793651
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
97f5fbbc04c072c891121d895a8eec72d115ab0c
| 6,464
|
py
|
Python
|
django_bleach/tests/test_forms.py
|
pegler/django-bleach
|
eb371ed9a032558d23ff04d8b707d5a30a2baa25
|
[
"MIT"
] | 1
|
2021-01-05T17:30:56.000Z
|
2021-01-05T17:30:56.000Z
|
django_bleach/tests/test_forms.py
|
PhysicistSouravDas/django-bleach
|
0973e1ff79512fd63f103829b9bd3e24cedf493c
|
[
"MIT"
] | null | null | null |
django_bleach/tests/test_forms.py
|
PhysicistSouravDas/django-bleach
|
0973e1ff79512fd63f103829b9bd3e24cedf493c
|
[
"MIT"
] | null | null | null |
from django.test import TestCase
from mock import patch
from testproject.forms import BleachForm
class TestBleachField(TestCase):
def test_empty(self):
""" Test no data """
form = BleachForm(data={})
form.is_valid()
self.assertEqual(form.fields['no_tags'].to_python(None), None)
self.assertEqual(form.fields['no_tags'].to_python(''), '')
self.assertEqual(form.fields['no_tags'].to_python([]), [])
self.assertEqual(form.fields['no_tags'].to_python({}), {})
def test_bleaching(self):
""" Test values are bleached """
test_data = {
'no_tags': "<h1>Heading</h1>",
'no_strip': "<h1>Heading</h1>",
'bleach_strip': "<!-- script here -->"
"<script>alert(\"Hello World\")</script>",
'bleach_attrs': "<a href=\"https://www.google.com\" "
"target=\"_blank\">google.com</a>",
'bleach_styles': "<li style=\"color: white\">item</li>"
}
form = BleachForm(data=test_data)
form.is_valid()
self.assertEqual(
form.cleaned_data['no_tags'], 'Heading'
)
self.assertEqual(
form.cleaned_data['no_strip'],
'<h1>Heading</h1>'
)
self.assertEqual(
form.cleaned_data['bleach_strip'],
'alert("Hello World")'
)
self.assertEqual(
form.cleaned_data['bleach_attrs'],
'<a href="https://www.google.com">google.com</a>'
)
self.assertNotEqual(
form.cleaned_data['bleach_styles'],
test_data['bleach_styles']
)
def test_tags(self):
""" Test allowed tags are rendered"""
test_data = {
'no_tags': "<p>No tags here</p>",
'no_strip': "No tags here",
'bleach_strip': "<ul><li>one</li><li>two</li></ul>",
'bleach_attrs': "<a href=\"https://www.google.com\" "
"title=\"Google\">google.com</a>",
'bleach_styles': "<li style=\"color: white;\">item</li>"
}
form = BleachForm(data=test_data)
form.is_valid()
self.assertEqual(form.cleaned_data['no_tags'], "No tags here")
self.assertEqual(form.cleaned_data['no_strip'], "No tags here")
self.assertEqual(
form.cleaned_data['bleach_strip'],
test_data['bleach_strip']
)
self.assertEqual(
form.cleaned_data['bleach_attrs'],
test_data['bleach_attrs']
)
self.assertEqual(
form.cleaned_data['bleach_styles'],
test_data['bleach_styles']
)
def test_attrs(self):
""" Test allowed attributes are rendered """
list_html = "<ul class=\"our-list\">" \
"<li class=\"list-item\">one</li>" \
"<li>two</li>" \
"</ul>"
test_data = {
'no_strip': "",
'no_tags': list_html,
'bleach_strip': list_html,
'bleach_attrs': list_html,
'bleach_styles': list_html
}
form = BleachForm(data=test_data)
form.is_valid()
self.assertEqual(form.cleaned_data['no_tags'], 'onetwo')
self.assertEqual(
form.cleaned_data['bleach_strip'],
'<ul><li>one</li><li>two</li></ul>'
)
self.assertEqual(
form.cleaned_data['bleach_attrs'],
test_data['bleach_strip']
)
self.assertEqual(
form.cleaned_data['bleach_styles'],
'<ul><li>one</li><li>two</li></ul>'
)
@patch('django_bleach.forms.settings',
BLEACH_DEFAULT_WIDGET='testproject.forms.CustomBleachWidget')
def test_custom_widget(self, settings):
self.assertEqual(
settings.BLEACH_DEFAULT_WIDGET,
'testproject.forms.CustomBleachWidget'
)
test_data = {
'no_tags': "<h1>Heading</h1>",
'no_strip': "<h1>Heading</h1>",
'bleach_strip': "<!-- script here -->"
"<script>alert(\"Hello World\")</script>",
'bleach_attrs': "<a href=\"http://www.google.com\" "
"target=\"_blank\">google.com</a>",
'bleach_styles': "<li style=\"color: white\">item</li>"
}
form = BleachForm(data=test_data)
form.is_valid()
self.assertEqual(
form.cleaned_data['no_tags'], 'Heading'
)
self.assertEqual(
form.cleaned_data['no_strip'],
'<h1>Heading</h1>'
)
self.assertEqual(
form.cleaned_data['bleach_strip'],
'alert("Hello World")'
)
self.assertEqual(
form.cleaned_data['bleach_attrs'],
'<a>google.com</a>'
)
self.assertNotEqual(
form.cleaned_data['bleach_styles'],
test_data['bleach_styles']
)
@patch('django_bleach.forms.settings',
BLEACH_DEFAULT_WIDGET='testproject.forms.CustomBleachWidget')
def test_custom_widget2(self, settings):
self.assertEqual(
settings.BLEACH_DEFAULT_WIDGET,
'testproject.forms.CustomBleachWidget'
)
test_data = {
'no_tags': "<h1>Heading</h1>",
'no_strip': "<h1>Heading</h1>",
'bleach_strip': "<!-- script here -->"
"<script>alert(\"Hello World\")</script>",
'bleach_attrs': "<a href=\"https://www.google.com\" "
"target=\"_blank\">google.com</a>",
'bleach_styles': "<li style=\"color: white\">item</li>"
}
form = BleachForm(data=test_data)
form.is_valid()
self.assertEqual(
form.cleaned_data['no_tags'], 'Heading'
)
self.assertEqual(
form.cleaned_data['no_strip'],
'<h1>Heading</h1>'
)
self.assertEqual(
form.cleaned_data['bleach_strip'],
'alert("Hello World")'
)
self.assertEqual(
form.cleaned_data['bleach_attrs'],
'<a href="https://www.google.com">google.com</a>'
)
self.assertNotEqual(
form.cleaned_data['bleach_styles'],
test_data['bleach_styles']
)
| 34.940541
| 72
| 0.519028
| 663
| 6,464
| 4.853695
| 0.116139
| 0.125855
| 0.147607
| 0.169671
| 0.861094
| 0.850528
| 0.846178
| 0.820075
| 0.767247
| 0.767247
| 0
| 0.004347
| 0.323793
| 6,464
| 184
| 73
| 35.130435
| 0.731869
| 0.016708
| 0
| 0.625
| 0
| 0
| 0.277839
| 0.060496
| 0
| 0
| 0
| 0
| 0.178571
| 1
| 0.035714
| false
| 0
| 0.017857
| 0
| 0.059524
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
3f06fd82aa3c914bfd41ed43aa69e7830cc89363
| 735
|
py
|
Python
|
test.py
|
SUPERustam/Flask_pattern
|
a843ab09d5e4feff78e879054fe75e6b4e914bc2
|
[
"MIT"
] | 1
|
2021-04-27T15:51:06.000Z
|
2021-04-27T15:51:06.000Z
|
test.py
|
SUPERustam/Flask_template
|
a843ab09d5e4feff78e879054fe75e6b4e914bc2
|
[
"MIT"
] | null | null | null |
test.py
|
SUPERustam/Flask_template
|
a843ab09d5e4feff78e879054fe75e6b4e914bc2
|
[
"MIT"
] | null | null | null |
from requests import get, post, delete
print(get('http://localhost:5000/api/v2/news').json())
print(get('http://localhost:5000/api/v2/news/1').json())
print(get('http://localhost:5000/api/v2/news/999').json())
print(get('http://localhost:5000/api/v2/news/q').json())
print(post('http://localhost:5000/api/v2/news',
json={'title': 'Заголовок'}).json())
print(post('http://localhost:5000/api/v2/news',
json={'title': 'Заголовок',
'content': 'Текст новости',
'user_id': 1,
'is_private': False}).json())
print(delete('http://localhost:5000/api/v2/news/999').json())
# новости с id = 999 нет в базе
print(delete('http://localhost:5000/api/v2/news/1').json())
| 30.625
| 61
| 0.613605
| 105
| 735
| 4.27619
| 0.295238
| 0.231626
| 0.302895
| 0.356347
| 0.783964
| 0.783964
| 0.783964
| 0.783964
| 0.507795
| 0.253898
| 0
| 0.083871
| 0.156463
| 735
| 23
| 62
| 31.956522
| 0.640323
| 0.039456
| 0
| 0.142857
| 0
| 0
| 0.487216
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.071429
| 0
| 0.071429
| 0.571429
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
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