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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b666301f2e73ca7da7fa6cb1deb62ced6adcb6c0 | 160 | py | Python | codesync/codesyncd/__init__.py | codesyncapp/codesync | 6521291fbcc6ccbbe17a07bf24d76a45f9e88d2c | [
"MIT"
] | 1 | 2022-02-09T23:53:40.000Z | 2022-02-09T23:53:40.000Z | codesync/codesyncd/__init__.py | codesyncapp/codesync | 6521291fbcc6ccbbe17a07bf24d76a45f9e88d2c | [
"MIT"
] | 1 | 2021-08-03T12:29:01.000Z | 2021-08-03T12:29:01.000Z | codesync/codesyncd/__init__.py | codesyncapp/codesync | 6521291fbcc6ccbbe17a07bf24d76a45f9e88d2c | [
"MIT"
] | null | null | null | """
Init process to sync the repo/branch
"""
from .utils import *
from .populate_buffer import *
from .handle_buffer import *
from .codesyncd import run_daemon
| 20 | 36 | 0.7625 | 23 | 160 | 5.173913 | 0.695652 | 0.252101 | 0.268908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 160 | 7 | 37 | 22.857143 | 0.875 | 0.225 | 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 |
b6b4b2fee8b0546303efa96d19bc4cc7b32c4ca8 | 3,588 | py | Python | tests/memory_threshold_check_test.py | liuh-80/sonic-utilities | 3d3c89bd75e3c70881c64e2a59043177c56111b4 | [
"Apache-2.0"
] | null | null | null | tests/memory_threshold_check_test.py | liuh-80/sonic-utilities | 3d3c89bd75e3c70881c64e2a59043177c56111b4 | [
"Apache-2.0"
] | null | null | null | tests/memory_threshold_check_test.py | liuh-80/sonic-utilities | 3d3c89bd75e3c70881c64e2a59043177c56111b4 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import pytest
from unittest import mock
from .mock_tables import dbconnector
from utilities_common.general import load_module_from_source
test_path = os.path.dirname(os.path.abspath(__file__))
modules_path = os.path.dirname(test_path)
scripts_path = os.path.join(modules_path, 'scripts')
sys.path.insert(0, scripts_path)
memory_threshold_check_path = os.path.join(scripts_path, 'memory_threshold_check.py')
memory_threshold_check = load_module_from_source('memory_threshold_check.py', memory_threshold_check_path)
@pytest.fixture()
def setup_dbs_regular_mem_usage():
cfg_db = dbconnector.dedicated_dbs.get('CONFIG_DB')
state_db = dbconnector.dedicated_dbs.get('STATE_DB')
dbconnector.dedicated_dbs['CONFIG_DB'] = os.path.join(test_path, 'memory_threshold_check', 'config_db')
dbconnector.dedicated_dbs['STATE_DB'] = os.path.join(test_path, 'memory_threshold_check', 'state_db')
yield
dbconnector.dedicated_dbs['CONFIG_DB'] = cfg_db
dbconnector.dedicated_dbs['STATE_DB'] = state_db
@pytest.fixture()
def setup_dbs_telemetry_high_mem_usage():
memory_threshold_check.MemoryStats.get_sys_memory_stats = mock.Mock(return_value={'MemAvailable': 10000000, 'MemTotal': 20000000})
cfg_db = dbconnector.dedicated_dbs.get('CONFIG_DB')
state_db = dbconnector.dedicated_dbs.get('STATE_DB')
dbconnector.dedicated_dbs['CONFIG_DB'] = os.path.join(test_path, 'memory_threshold_check', 'config_db')
dbconnector.dedicated_dbs['STATE_DB'] = os.path.join(test_path, 'memory_threshold_check', 'state_db_2')
yield
dbconnector.dedicated_dbs['CONFIG_DB'] = cfg_db
dbconnector.dedicated_dbs['STATE_DB'] = state_db
@pytest.fixture()
def setup_dbs_swss_high_mem_usage():
memory_threshold_check.MemoryStats.get_sys_memory_stats = mock.Mock(return_value={'MemAvailable': 10000000, 'MemTotal': 20000000})
cfg_db = dbconnector.dedicated_dbs.get('CONFIG_DB')
state_db = dbconnector.dedicated_dbs.get('STATE_DB')
dbconnector.dedicated_dbs['CONFIG_DB'] = os.path.join(test_path, 'memory_threshold_check', 'config_db')
dbconnector.dedicated_dbs['STATE_DB'] = os.path.join(test_path, 'memory_threshold_check', 'state_db_3')
yield
dbconnector.dedicated_dbs['CONFIG_DB'] = cfg_db
dbconnector.dedicated_dbs['STATE_DB'] = state_db
def test_memory_check_host_not_crossed(setup_dbs_regular_mem_usage):
memory_threshold_check.MemoryStats.get_sys_memory_stats = mock.Mock(return_value={'MemAvailable': 1000000, 'MemTotal': 2000000})
assert memory_threshold_check.main() == (memory_threshold_check.EXIT_SUCCESS, '')
def test_memory_check_host_less_then_min_required(setup_dbs_regular_mem_usage):
memory_threshold_check.MemoryStats.get_sys_memory_stats = mock.Mock(return_value={'MemAvailable': 1000, 'MemTotal': 2000000})
assert memory_threshold_check.main() == (memory_threshold_check.EXIT_THRESHOLD_CROSSED, '')
def test_memory_check_host_threshold_crossed(setup_dbs_regular_mem_usage):
memory_threshold_check.MemoryStats.get_sys_memory_stats = mock.Mock(return_value={'MemAvailable': 2000000, 'MemTotal': 20000000})
assert memory_threshold_check.main() == (memory_threshold_check.EXIT_THRESHOLD_CROSSED, '')
def test_memory_check_telemetry_threshold_crossed(setup_dbs_telemetry_high_mem_usage):
assert memory_threshold_check.main() == (memory_threshold_check.EXIT_THRESHOLD_CROSSED, 'telemetry')
def test_memory_check_swss_threshold_crossed(setup_dbs_swss_high_mem_usage):
assert memory_threshold_check.main() == (memory_threshold_check.EXIT_THRESHOLD_CROSSED, 'swss')
| 49.833333 | 134 | 0.801561 | 493 | 3,588 | 5.373225 | 0.141988 | 0.147225 | 0.1963 | 0.141563 | 0.832012 | 0.783314 | 0.767459 | 0.735749 | 0.735749 | 0.735749 | 0 | 0.022964 | 0.089744 | 3,588 | 71 | 135 | 50.535211 | 0.78812 | 0 | 0 | 0.462963 | 0 | 0 | 0.14214 | 0.050725 | 0 | 0 | 0 | 0 | 0.092593 | 1 | 0.148148 | false | 0 | 0.111111 | 0 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fcc1ce901476e289f38ff6b986990739c3eaccaa | 107 | py | Python | python/tjauto/cli_util.py | jtong/tjauto | ebe3571f500ab187af84c626fccba055f95a992e | [
"MIT"
] | null | null | null | python/tjauto/cli_util.py | jtong/tjauto | ebe3571f500ab187af84c626fccba055f95a992e | [
"MIT"
] | null | null | null | python/tjauto/cli_util.py | jtong/tjauto | ebe3571f500ab187af84c626fccba055f95a992e | [
"MIT"
] | null | null | null | import os
def goto_and_exec(location_path, next_cmd):
os.system("cd "+location_path+" && "+next_cmd)
| 17.833333 | 50 | 0.71028 | 17 | 107 | 4.117647 | 0.705882 | 0.342857 | 0.457143 | 0.542857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140187 | 107 | 5 | 51 | 21.4 | 0.76087 | 0 | 0 | 0 | 0 | 0 | 0.066038 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
fcfc3907d4d25b7690f1ad579b148afd35eb3544 | 174 | py | Python | aoutil/__init__.py | a24ma/aoutil | 72d6acb93aea2e9fa36912938c932b025f40e277 | [
"MIT"
] | null | null | null | aoutil/__init__.py | a24ma/aoutil | 72d6acb93aea2e9fa36912938c932b025f40e277 | [
"MIT"
] | null | null | null | aoutil/__init__.py | a24ma/aoutil | 72d6acb93aea2e9fa36912938c932b025f40e277 | [
"MIT"
] | null | null | null | from aoutil.now import now, ts
from aoutil.log import setup_detail_logger, setup_simple_logger, test_log
from aoutil.log import NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL
| 43.5 | 73 | 0.821839 | 28 | 174 | 4.928571 | 0.607143 | 0.217391 | 0.188406 | 0.275362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.114943 | 174 | 3 | 74 | 58 | 0.896104 | 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 |
1e22de507ca4eafff100b3273f32d40938b21621 | 28,100 | py | Python | BIGDATA/hadoop.py | KranNaut/Dash | dfddf1c6a0e84761df2216a576f46cb1e5138bd8 | [
"MIT"
] | null | null | null | BIGDATA/hadoop.py | KranNaut/Dash | dfddf1c6a0e84761df2216a576f46cb1e5138bd8 | [
"MIT"
] | null | null | null | BIGDATA/hadoop.py | KranNaut/Dash | dfddf1c6a0e84761df2216a576f46cb1e5138bd8 | [
"MIT"
] | null | null | null | import os
import getpass
import subprocess
###############################################################
def LocalHadoopInstall():
status = 1
print("Please wait")
if not subprocess.getstatusoutput("sudo yum install initscripts -y")[0]:
if not subprocess.getstatusoutput("pip3 install gdown")[0]:
if not os.system(
"sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/hadoop-1.2.1-1.x86_64.rpm") and 0 == os.system(
"sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/jdk-8u171-linux-x64.rpm"):
os.system("sudo rpm -ihv jdk-8u171-linux-x64.rpm")
status = os.system("sudo rpm -ihv hadoop-1.2.1-1.x86_64.rpm --force")
if status == 0:
print("Hadoop successfully installed in your system")
else:
print("something went wrong please contact support team")
#################################################################
def LocalNodeConfigure(current_type):
if current_type == "NameNode":
os.system("sudo cp BIGDATA/templates/core-site/namenode/core-site.xml /etc/hadoop/core-site.xml")
folder = input("Enter Directory: ")
subprocess.getstatusoutput("sudo mkdir {}".format(folder))
if not os.system("sudo cp BIGDATA/templates/hdfs-site/namenode/hdfs-site.xml /etc/hadoop/hdfs-site.xml"):
return True
elif current_type == "DataNode":
os.system("sudo cp BIGDATA/templates/core-site/datanode/core-site.xml /etc/hadoop/core-site.xml")
folder = input("Enter Directory: ")
subprocess.getstatusoutput("sudo mkdir {}".format(folder))
if not os.system("sudo cp BIGDATA/templates/hdfs-site/datanode/hdfs-site.xml /etc/hadoop/hdfs-site.xml"):
return True
else:
os.system("sudo cp BIGDATA/templates/core-site/datanode/core-site.xml /etc/hadoop/core-site.xml")
if not os.system("sudo cp BIGDATA/templates/hdfs-site/client/hdfs-site.xml /etc/hadoop/hdfs-site.xml"):
return True
return False
#####################################################################
def LocalCurrentNode():
os.system('tput setaf 4')
print("""
Current system is.....
Enter 1 For NameNode
Enter 2 For DataNode
Enter 3 For Client
Enter 4 to return back
""")
os.system('tput setaf 7')
choice = input("Enter your Choice: ")
if choice == "1":
if LocalNodeConfigure("NameNode"):
print("completed")
else:
print("Something went Wrong")
elif choice == '2':
if LocalNodeConfigure("DataNode"):
print("completed")
else:
print("Something Went Wrong")
elif choice == '3':
if LocalNodeConfigure("Client"):
print("Client Started.....")
else:
print("Something Went Wrong")
elif choice == '4':
return
else:
print("Something Went Wrong")
###################################################################################
###################################################################################
def RemoteHadoopInstall(username, password, Ip):
status = None
if 0 == subprocess.getstatusoutput("sudo yum install initscripts -y")[0]:
if 0 == os.system("sshpass -p {} ssh {}@{} yum install wget -y".format(password, username, Ip)):
if 0 == os.system(
"sshpass -p {} ssh {}@{} sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/hadoop-1.2.1-1.x86_64.rpm".format(
password, username, Ip)) and 0 == os.system(
"sshpass -p {} ssh {}@{} sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/jdk-8u171-linux-x64.rpm".format(
password, username, Ip)):
if 0 == os.system(
"sshpass -p {} ssh {}@{} rpm -ihv jdk-8u171-linux-x64.rpm".format(password, username, Ip)):
status = os.system(
"sshpass -p {} ssh {}@{} rpm -ihv hadoop-1.2.1-1.x86_64.rpm --force".format(password, username,
Ip))
if status == 0:
print("Hadoop successfully installed in your system")
else:
print("something went wrong please contact support team")
###############################################################################
def RemoteNodeConfigure(current_type, username, password, Ip):
# HDFS-Site file Configure
if current_type == "NameNode":
os.system(
"sshpass -p {} scp BIGDATA/templates/core-site/namenode/core-site.xml {}@{}:/etc/hadoop/core-site.xml".format(
password, username, Ip))
folder = input("Enter CurrentNode Directory: ")
subprocess.getoutput("sshpass -p {} ssh {}@{} sudo mkdir {}".format(password, username, Ip, folder))
if not os.system(
"sshpass -p {} scp BIGDATA/templates/hdfs-site/namenode/hdfs-site.xml {}@{}:/etc/hadoop/hdfs-site.xml".format(
password, username, Ip)):
return True
elif current_type == "DataNode":
os.system(
"sshpass -p {} scp BIGDATA/templates/core-site/datanode/core-site.xml {}@{}:/etc/hadoop/core-site.xml".format(
password, username, Ip))
folder = input("Enter CurrentNode Directory: ")
subprocess.getoutput("sshpass -p {} ssh {}@{} sudo mkdir {}".format(password, username, Ip, folder))
if not os.system(
"sshpass -p {} scp BIGDATA/templates/hdfs-site/datanode/hdfs-site.xml {}@{}:/etc/hadoop/hdfs-site.xml".format(
password, username, Ip)):
return True
else:
os.system(
"sshpass -p {} scp BIGDATA/templates/core-site/datanode/core-site.xml {}@{}:/etc/hadoop/core-site.xml".format(
password, username, Ip))
if not os.system(
"sshpass -p {} scp BIGDATA/templates/hdfs-site/client/hdfs-site.xml {}@{}:/etc/hadoop/hdfs-site.xml".format(
password, username, Ip)):
return True
return False
########################################################################
def RemoteCurrentNode(username, password, Ip):
os.system('tput setaf 4')
print("""
Current system is.....
Enter 1 For NameNode
Enter 2 For DataNode
Enter 3 For Client
Enter 4 to return back
""")
os.system('tput setaf 7')
choice = input("Enter your Choice: ")
if choice == "1":
if RemoteNodeConfigure("NameNode", username, password, Ip):
print("completed")
else:
print("Something went Wrong")
elif choice == '2':
if RemoteNodeConfigure("DataNode", username, password, Ip):
print("completed")
else:
print("Something went Wrong")
elif choice == '3':
if RemoteNodeConfigure("Client", username, password, Ip):
print("Completed")
else:
print("Something went Wrong")
elif choice == '4':
return
else:
print("wrong choice")
########################################################################
########################################################################
def CloudHadoopInstall(username, key_path, Ip):
status = None
if 0 == subprocess.getstatusoutput(
"ssh -i {} {}@{} sudo yum install initscripts -y".format(key_path, username, Ip))[0]:
if 0 == os.system("ssh -i {} {}@{} sudo yum install wget -y".format(key_path, username, Ip)):
if 0 == os.system(
"ssh -i {} {}@{} sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/hadoop-1.2.1-1.x86_64.rpm".format(
key_path, username, Ip)) and 0 == os.system(
"ssh -i {} {}@{} sudo wget https://rohitraut04.s3.ap-south-1.amazonaws.com/jdk-8u171-linux-x64.rpm".format(
key_path, username, Ip)):
if 0 == os.system(
"ssh -i {} {}@{} sudo rpm -ihv jdk-8u171-linux-x64.rpm".format(key_path, username, Ip)):
status = os.system(
"ssh -i {} {}@{} sudo rpm -ihv hadoop-1.2.1-1.x86_64.rpm --force".format(key_path, username,
Ip))
if status == 0:
print("Hadoop successfully installed in your system")
else:
print("something went wrong")
########################################################################
def CloudNodeConfigure(current_type, username, key_path, Ip):
# HDFS-Site file Configure
if current_type == "NameNode":
if not os.system(
"scp -i {} BIGDATA/templates/core-site/namenode/core-site.xml {}@{}:/home/{}/".format(key_path,
username, Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp core-site.xml /etc/hadoop/core-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm core-site.xml".format(key_path, username, Ip)):
pass
else:
return False
folder = input("Enter Directory: ")
subprocess.getoutput("ssh -i {} {}@{} sudo mkdir {}".format(key_path, username, Ip, folder))
if not os.system("scp -i {} BIGDATA/templates/hdfs-site/namenode/hdfs-site.xml {}@{}:/home/{}/".format(key_path,
username,
Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp hdfs-site.xml /etc/hadoop/hdfs-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm hdfs-site.xml".format(key_path, username, Ip)):
return True
elif current_type == "DataNode":
if not os.system(
"scp -i {} BIGDATA/templates/core-site/datanode/core-site.xml {}@{}:/home/{}/".format(key_path,
username, Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp core-site.xml /etc/hadoop/core-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm core-site.xml".format(key_path, username, Ip)):
pass
else:
return False
folder = input("Enter Directory: ")
subprocess.getoutput("ssh -i {} {}@{} sudo mkdir {}".format(key_path, username, Ip, folder))
if not os.system("scp -i {} BIGDATA/templates/hdfs-site/datanode/hdfs-site.xml {}@{}:/home/{}/".format(key_path,
username,
Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp hdfs-site.xml /etc/hadoop/hdfs-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm hdfs-site.xml".format(key_path, username, Ip)):
return True
else:
if not os.system(
"scp -i {} BIGDATA/templates/core-site/datanode/core-site.xml {}@{}:/home/{}/".format(key_path,
username, Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp core-site.xml /etc/hadoop/core-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm core-site.xml".format(key_path, username, Ip)):
pass
else:
return False
if not os.system(
"scp -i {} BIGDATA/templates/hdfs-site/client/hdfs-site.xml {}@{}:/home/{}/".format(key_path, username,
Ip,
username)) and not os.system(
"ssh -i {} {}@{} sudo cp hdfs-site.xml /etc/hadoop/hdfs-site.xml".format(key_path, username,
Ip)) and not os.system(
"ssh -i {} {}@{} sudo rm hdfs-site.xml".format(key_path, username, Ip)):
return True
return False
##########################################################################
def CloudCurrentNode(username, key_path, Ip):
os.system('tput setaf 4')
print("""
Current system is.....
Enter 1 For NameNode
Enter 2 For DataNode
Enter 3 For Client
Enter 4 to return back
""")
os.system('tput setaf 7')
choice = input("Enter your Choice: ")
if choice == "1":
if CloudNodeConfigure("NameNode", username, key_path, Ip):
print("completed")
else:
print("Something went Wrong")
elif choice == '2':
if CloudNodeConfigure("DataNode", username, key_path, Ip):
print("Completed")
else:
print("Something went Wrong")
elif choice == '3':
if CloudNodeConfigure("Client", key_path, username, Ip):
print("Client Started.....")
else:
print("Something went Wrong")
elif choice == '4':
return
else:
print(" wrong choice ")
####################################################################################
####################################################################################
####################################################################################
def HadoopMainMenu():
os.system('tput setaf 3')
print("\t\t\t\t=====================================================")
print("\t\t\t\t\t\tWelcome to Hadoop menu !!")
print("\t\t\t\t=====================================================")
os.system('tput setaf 4')
ostype = input("""
Enter local to work on local operating system
Enter remote to work on remote operating system
:""")
if ostype == "local":
while True:
os.system('tput setaf 4')
print("""
Enter 1 to install hadoop
Enter 2 to configure node
Enter 3 to format namenode
Enter 4 to start/stop hadoop service
Enter 5 to get cluster report
Enter 6 to see all files
Enter 7 to put/rm/read File
Enter 8 to return
""")
os.system('tput setaf 7')
choice = input("Enter your choice: ")
if choice == "1":
LocalHadoopInstall()
elif choice == "2":
LocalCurrentNode()
elif choice == '3':
os.system("hadoop namenode -format")
elif choice == "4":
s = input("Enter start/stop hadoop service : ")
if s == "start":
service = input("service NameNode/Datanode : ")
if service.lower() == "namenode":
os.system("hadoop-daemon.sh start namenode")
elif service.lower() == "datanode":
os.system("hadoop-daemon.sh start datanode")
elif s == "stop":
service = input("service NameNode/Datanode : ")
if service.lower() == "namenode":
os.system("hadoop-daemon.sh stop namenode")
elif service.lower() == "datanode":
os.system("hadoop-daemon.sh stop datanode")
else:
print("wrong input ")
elif choice == "5":
os.system("hadoop dfsadmin -report")
elif choice == "6":
os.system("hadoop fs -ls /")
elif choice == "7":
c = input("Enter put/rm/read File")
if c.lower() == 'put':
file_name = input("Enter file name [PATH/filename] : ")
os.system("hadoop fs -put {} /".format(file_name))
elif c.lower() == "rm":
file_name = input("Enter File name : ")
os.system("hadoop fs -rm /{}".format(file_name))
elif c.lower() == "read":
file_name = input("Enter file name : ")
os.system("hadoop fs -cat /{}".format(file_name))
elif choice == "8":
return
else:
print("not supported")
input("Press Enter to continue........")
os.system('clear')
elif ostype == "remote":
username = input("Enter os username : ").strip()
ip = input("Enter os ip: ").strip()
key_or_password = input("Connect using password/Key : ").strip()
if key_or_password.lower() == "password" or key_or_password == "pass":
password = getpass.getpass("Enter password: ")
os.system("yum install sshpass")
while True:
os.system('tput setaf 4')
print("""
Enter 1 to install hadoop
Enter 2 for configure node
Enter 3 to format namenode
Enter 4 for start/stop hadoop service
Enter 5 for get cluster report
Enter 6 to see all files in cluster
Enter 7 to put/rm/read File
Enter 8 to return
""")
os.system('tput setaf 7')
choice = input("Enter you choice : ")
if choice == "1":
RemoteHadoopInstall(username, password, ip)
elif choice == "2":
RemoteCurrentNode(username, password, ip)
elif choice == "3":
os.system(
"sshpass -p {} ssh {}@{} hadoop namenode -format".format(password, username, ip))
elif choice == "4":
s = input("Enter start/stop hadoop service : ")
if s == "start":
service = input("service NameNode/Datanode : ")
if service.lower() == "namenode":
os.system(
"sshpass -p {} ssh {}@{} hadoop-daemon.sh start namenode".format(password, username,
ip))
os.system('sleep 3')
service_state = subprocess.getstatusoutput(
"sshpass -p {} ssh {}@{} sudo jps".format(password, username, ip))
if service_state[0] == 0 and 'NameNode' in service_state[1]:
print("NameNode Started")
else:
print("failed to start service")
elif service.lower() == "datanode":
os.system(
"sshpass -p {} ssh {}@{} hadoop-daemon.sh start datanode".format(password, username,
ip))
os.system('sleep 3')
service_state = subprocess.getstatusoutput(
"sshpass -p {} ssh {}@{} sudo jps".format(password, username, ip))
if service_state[0] == 0 and 'DataNode' in service_state[1]:
print("DataNode Started")
else:
print("failed to start service")
else:
print("Wrong Input")
elif s == "stop":
service = str(input("service NameNode/Datanode:"))
if service.lower() == "namenode":
os.system(
"sshpass -p {} ssh {}@{} hadoop-daemon.sh stop namenode".format(password, username, ip))
elif service.lower() == "datanode":
os.system(
"sshpass -p {} ssh {}@{} hadoop-daemon.sh stop datanode".format(password, username, ip))
else:
print("Wrong Input")
else:
print("wrong input ")
elif choice == '5':
os.system(
"sshpass -p {} ssh {}@{} hadoop dfsadmin -report".format(password, username, ip))
elif choice == '6':
os.system(
"sshpass -p {} ssh {}@{} hadoop fs -ls /".format(password, username, ip))
elif choice == "7":
c = input("Enter put/rm/read File")
if c.lower() == 'put':
file_name = input("Enter file name [PATH/filename] : ")
os.system(
"sshpass -p {} ssh {}@{} hadoop fs -put {} /".format(password, username, ip, file_name))
elif c.lower() == "rm":
file_name = input("Enter File name : ")
os.system("sshpass -p {} ssh {}@{} hadoop fs -rm /{}".format(password, username, ip, file_name))
elif c.lower() == "read":
file_name = input("Enter file name : ")
os.system(
"sshpass -p {} ssh {}@{} hadoop fs -cat /{}".format(password, username, ip, file_name))
elif choice == '9':
exit()
else:
print("not supported")
input("Press Enter to continue........")
os.system('clear')
elif key_or_password.lower() == "key":
key = input("Enter key in this format { PATH/KeyName.pem } : ")
while True:
os.system('tput setaf 4')
print("""
Enter 1 to install hadoop
Enter 2 for configure node
Enter 3 to format namenode
Enter 4 start/stop hadoop service
Enter 5 to get cluster report
Enter 6 to see all files in cluster
Enter 7 to put/read/rm file in cluster
Enter 8 to return
""")
os.system('tput setaf 7')
choice = input("Enter your choice: ")
if choice == "1":
CloudHadoopInstall(username, key, ip)
elif choice == "2":
CloudCurrentNode(username, key, ip)
elif choice == "3":
os.system("ssh -i {} {}@{} sudo hadoop namenode -format".format(key, username, ip))
elif choice == "4":
s = input("Enter start/stop hadoop service : ")
if s == "start":
service = input("service NameNode/Datanode : ")
if service.lower() == "namenode":
os.system(
"ssh -i {} {}@{} sudo hadoop-daemon.sh start namenode".format(key, username, ip))
os.system('sleep 3')
service_state = subprocess.getstatusoutput(
"ssh -i {} {}@{} sudo jps".format(key, username, ip))
if service_state[0] == 0 and 'NameNode' in service_state[1]:
print("NameNode Started")
else:
print("failed to start service")
elif service.lower() == "datanode":
os.system(
"ssh -i {} {}@{} sudo hadoop-daemon.sh start datanode".format(key, username, ip))
os.system('sleep 3')
service_state = subprocess.getstatusoutput(
"ssh -i {} {}@{} sudo jps".format(key, username, ip))
if service_state[0] == 0 and 'DataNode' in service_state[1]:
print("DataNode Started")
else:
print("failed to start service")
else:
print("Wrong Input")
elif s == "stop":
service = input("service NameNode/Datanode : ")
if service.lower() == "namenode":
os.system(
"ssh -i {} {}@{} sudo hadoop-daemon.sh stop namenode".format(key, username, ip))
elif service.lower() == "datanode":
os.system(
"ssh -i {} {}@{} sudo hadoop-daemon.sh stop datanode".format(key, username, ip))
else:
print("Wrong Input")
else:
print("wrong input ")
elif choice == '5':
os.system(
"ssh -i {} {}@{} sudo hadoop dfsadmin -report".format(key, username, ip))
elif choice == '6':
os.system(
"ssh -i {} {}@{} sudo hadoop fs -ls /".format(key, username, ip))
elif choice == "7":
c = input("Enter put/rm/read File")
if c.lower() == 'put':
file_name = input("Enter file name [PATH/filename] : ")
os.system("ssh -i {} {}@{} hadoop fs -put {} /".format(key, username, ip, file_name))
elif c.lower() == "rm":
file_name = input("Enter File name : ")
os.system("ssh -i {} {}@{} hadoop fs -rm /{}".format(key, username, ip, file_name))
elif c.lower() == "read":
file_name = input("Enter file name : ")
os.system("ssh -i {} {}@{} hadoop fs -cat /{}".format(key, username, ip, file_name))
elif choice == '8':
return
else:
print("not supported")
input("Press Enter to continue........")
os.system('clear') | 49.646643 | 140 | 0.434128 | 2,647 | 28,100 | 4.576502 | 0.064601 | 0.063398 | 0.019151 | 0.03789 | 0.883276 | 0.855787 | 0.817732 | 0.792637 | 0.778273 | 0.743685 | 0 | 0.013866 | 0.409715 | 28,100 | 566 | 141 | 49.646643 | 0.716465 | 0.001744 | 0 | 0.747495 | 0 | 0.064128 | 0.335161 | 0.060979 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02004 | false | 0.1002 | 0.006012 | 0 | 0.066132 | 0.11022 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
1e23a75b66b66aaca69fc27019ff9c61bf0758f0 | 63,730 | py | Python | src/amuse/rfi/tools/create_fortran.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | 1 | 2019-12-28T22:47:51.000Z | 2019-12-28T22:47:51.000Z | src/amuse/rfi/tools/create_fortran.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | 1 | 2020-01-27T17:01:49.000Z | 2020-01-28T02:09:55.000Z | src/amuse/rfi/tools/create_fortran.py | aatrani/amuse | fd1abcfb1b118a9ab13031912abf6e65e9c60dde | [
"Apache-2.0"
] | null | null | null | from amuse.support.core import late
from amuse.support import exceptions
from amuse import config
from amuse.rfi.tools.create_code import GenerateASourcecodeString
from amuse.rfi.tools.create_code import GenerateASourcecodeStringFromASpecificationClass
from amuse.rfi.tools.create_code import DTypeSpec
from amuse.rfi.tools.create_code import dtypes
from amuse.rfi.tools.create_code import DTypeToSpecDictionary
from amuse.rfi.tools import create_definition
from amuse.rfi.core import LegacyFunctionSpecification
dtype_to_spec = DTypeToSpecDictionary({
'int32' : DTypeSpec('integers_in','integers_out','HEADER_INTEGER_COUNT', 'integer', 'integer'),
'int64' : DTypeSpec('longs_in', 'longs_out', 'HEADER_LONG_COUNT', 'integer*8', 'long'),
'float32' : DTypeSpec('floats_in', 'floats_out', 'HEADER_FLOAT_COUNT', 'real*4', 'float'),
'float64' : DTypeSpec('doubles_in', 'doubles_out', 'HEADER_DOUBLE_COUNT', 'real*8', 'double'),
'bool' : DTypeSpec('booleans_in', 'booleans_out', 'HEADER_BOOLEAN_COUNT', 'logical', 'boolean'),
'string' : DTypeSpec('strings_in', 'strings_out', 'HEADER_STRING_COUNT', 'integer*4', 'integer'),
})
CONSTANTS_STRING = """
integer HEADER_FLAGS, HEADER_CALL_ID, HEADER_FUNCTION_ID, HEADER_CALL_COUNT, &
HEADER_INTEGER_COUNT, HEADER_LONG_COUNT, HEADER_FLOAT_COUNT, &
HEADER_DOUBLE_COUNT, HEADER_BOOLEAN_COUNT, HEADER_STRING_COUNT, &
HEADER_SIZE, MAX_COMMUNICATORS
parameter (HEADER_FLAGS=1, HEADER_CALL_ID=2, HEADER_FUNCTION_ID=3, &
HEADER_CALL_COUNT=4, HEADER_INTEGER_COUNT=5, HEADER_LONG_COUNT=6, &
HEADER_FLOAT_COUNT=7, HEADER_DOUBLE_COUNT=8, &
HEADER_BOOLEAN_COUNT=9, HEADER_STRING_COUNT=10, &
HEADER_SIZE=11, MAX_COMMUNICATORS = 2048)
"""
ARRAY_DEFINES_STRING = """
integer*4, target :: header_in(HEADER_SIZE)
integer*4, target :: header_out(HEADER_SIZE)
integer*4, allocatable, target :: integers_in(:)
integer*4, allocatable, target :: integers_out(:)
integer*8, allocatable, target :: longs_in(:)
integer*8, allocatable, target :: longs_out(:)
real*4, allocatable, target :: floats_in(:)
real*4, allocatable, target :: floats_out(:)
real*8, allocatable, target :: doubles_in(:)
real*8, allocatable, target :: doubles_out(:)
logical*1, allocatable, target :: c_booleans_in(:)
logical*1, allocatable, target :: c_booleans_out(:)
logical, allocatable, target :: booleans_in(:)
logical, allocatable, target :: booleans_out(:)
integer*4, allocatable, target :: string_sizes_in(:)
integer*4, allocatable, target :: string_sizes_out(:)
character (len=256), allocatable, target :: strings_in(:)
character (len=256), allocatable, target :: strings_out(:)
character (len=100000) :: characters_in
character (len=100000) :: characters_out
"""
ISO_ARRAY_DEFINES_STRING = """
integer (c_int32_t), target :: header_in(HEADER_SIZE)
integer (c_int32_t), target :: header_out(HEADER_SIZE)
integer (c_int32_t), allocatable, target :: integers_in(:)
integer (c_int32_t), allocatable, target :: integers_out(:)
integer (c_int64_t), allocatable, target :: longs_in(:)
integer (c_int64_t), allocatable, target :: longs_out(:)
real (c_float), allocatable, target :: floats_in(:)
real (c_float), allocatable, target :: floats_out(:)
real (c_double), allocatable, target :: doubles_in(:)
real (c_double), allocatable, target :: doubles_out(:)
logical (c_bool), allocatable, target :: c_booleans_in(:)
logical (c_bool), allocatable, target :: c_booleans_out(:)
logical, allocatable, target :: booleans_in(:)
logical, allocatable, target :: booleans_out(:)
integer (c_int32_t), allocatable, target :: string_sizes_in(:)
integer (c_int32_t), allocatable, target :: string_sizes_out(:)
character (c_char), allocatable, target :: strings_in(:) * 256
character (c_char), allocatable, target :: strings_out(:) * 256
character (len=1000000) :: characters_in
character (len=1000000) :: characters_out
character (kind=c_char), target :: c_characters_in(1000000)
character (kind=c_char), target :: c_characters_out(1000000)
"""
MODULE_GLOBALS_STRING = """
integer, save :: polling_interval = 0
integer, save :: last_communicator_id = 0
integer, save :: communicators(MAX_COMMUNICATORS)
integer, save :: id_to_activate = -1
integer, save :: active_communicator_id = -1
"""
NOMPI_MODULE_GLOBALS_STRING = """
integer, save :: polling_interval = 0
"""
MPI_INTERNAL_FUNCTIONS_STRING = """
FUNCTION internal__open_port(outval)
IMPLICIT NONE
INCLUDE 'mpif.h'
character(len=MPI_MAX_PORT_NAME+1), intent(out) :: outval
INTEGER :: internal__open_port
INTEGER :: ierror
call MPI_Open_port(MPI_INFO_NULL, outval, ierror);
internal__open_port = 0
END FUNCTION
FUNCTION internal__accept_on_port(port_identifier, comm_identifier)
IMPLICIT NONE
INCLUDE 'mpif.h'
character(len=*), intent(in) :: port_identifier
INTEGER, intent(out) :: comm_identifier
INTEGER :: internal__accept_on_port
INTEGER :: ierror, rank
INTEGER :: mcommunicator, communicator
last_communicator_id = last_communicator_id + 1
IF (last_communicator_id .GE. MAX_COMMUNICATORS) THEN
last_communicator_id = last_communicator_id - 1
comm_identifier = -1
internal__accept_on_port = -1
return;
END IF
call MPI_Comm_rank(MPI_COMM_WORLD, rank, ierror);
IF (rank .EQ. 0) THEN
call MPI_Comm_accept(port_identifier, MPI_INFO_NULL, 0, MPI_COMM_SELF, communicator, ierror)
call MPI_Intercomm_merge(communicator, 0, mcommunicator, ierror)
call MPI_Intercomm_create(MPI_COMM_WORLD, 0, mcommunicator, 1, 65, communicators(last_communicator_id), ierror)
call MPI_Comm_free(mcommunicator, ierror)
call MPI_Comm_free(communicator, ierror)
ELSE
call MPI_Intercomm_create(MPI_COMM_WORLD,0, MPI_COMM_NULL, 1, 65, communicators(last_communicator_id), ierror)
END IF
comm_identifier = last_communicator_id;
internal__accept_on_port = 0
END FUNCTION
FUNCTION internal__connect_to_port(port_identifier, comm_identifier)
IMPLICIT NONE
INCLUDE 'mpif.h'
character(len=*), intent(in) :: port_identifier
INTEGER, intent(out) :: comm_identifier
INTEGER :: internal__connect_to_port
INTEGER :: ierror, rank
INTEGER :: mcommunicator, communicator
last_communicator_id = last_communicator_id + 1
IF (last_communicator_id .GE. MAX_COMMUNICATORS) THEN
last_communicator_id = last_communicator_id - 1
comm_identifier = -1
internal__connect_to_port = -1
return;
END IF
call MPI_Comm_rank(MPI_COMM_WORLD, rank, ierror);
IF (rank .EQ. 0) THEN
call MPI_Comm_connect(port_identifier, MPI_INFO_NULL, 0, MPI_COMM_SELF, communicator, ierror)
call MPI_Intercomm_merge(communicator, 1, mcommunicator, ierror)
call MPI_Intercomm_create(MPI_COMM_WORLD, 0, mcommunicator, 0, 65, communicators(last_communicator_id), ierror)
call MPI_Comm_free(mcommunicator, ierror)
call MPI_Comm_free(communicator, ierror)
ELSE
call MPI_Intercomm_create(MPI_COMM_WORLD,0, MPI_COMM_NULL, 1, 65, communicators(last_communicator_id), ierror)
END IF
comm_identifier = last_communicator_id;
internal__connect_to_port = 0
END FUNCTION
FUNCTION internal__activate_communicator(comm_identifier)
IMPLICIT NONE
INCLUDE 'mpif.h'
INTEGER, intent(in) :: comm_identifier
INTEGER :: internal__activate_communicator
if ((comm_identifier .LT. 0) .OR. (comm_identifier .GT. last_communicator_id)) then
internal__activate_communicator = -1
return
end if
internal__activate_communicator = 0
id_to_activate = comm_identifier
END FUNCTION
FUNCTION internal__become_code(number_of_workers, modulename, classname)
IMPLICIT NONE
character(len=*), intent(in) :: modulename, classname
integer, intent(in) :: number_of_workers
INTEGER :: internal__become_code
internal__become_code = 0
END FUNCTION
"""
NOMPI_INTERNAL_FUNCTIONS_STRING = """
FUNCTION internal__open_port(outval)
IMPLICIT NONE
character(len=*), intent(out) :: outval
INTEGER :: internal__open_port
outval = ""
internal__open_port = 0
END FUNCTION
FUNCTION internal__accept_on_port(port_identifier, comm_identifier)
IMPLICIT NONE
character(len=*), intent(in) :: port_identifier
INTEGER, intent(out) :: comm_identifier
INTEGER :: internal__accept_on_port
comm_identifier = -1;
internal__accept_on_port = 0
END FUNCTION
FUNCTION internal__connect_to_port(port_identifier, comm_identifier)
IMPLICIT NONE
character(len=*), intent(in) :: port_identifier
INTEGER, intent(out) :: comm_identifier
INTEGER :: internal__connect_to_port
comm_identifier = -1
internal__connect_to_port = 0
END FUNCTION
FUNCTION internal__activate_communicator(comm_identifier)
IMPLICIT NONE
INTEGER, intent(in) :: comm_identifier
INTEGER :: internal__activate_communicator
internal__activate_communicator = 0
END FUNCTION
FUNCTION internal__become_code(number_of_workers, modulename, classname)
IMPLICIT NONE
character(len=*), intent(in) :: modulename, classname
integer, intent(in) :: number_of_workers
INTEGER :: internal__become_code
internal__become_code = 0
END FUNCTION
"""
INTERNAL_FUNCTIONS_STRING = MPI_INTERNAL_FUNCTIONS_STRING
POLLING_FUNCTIONS_STRING = """
FUNCTION internal__get_message_polling_interval(outval)
INTEGER,intent(out) :: outval
INTEGER :: internal__get_message_polling_interval
outval = polling_interval
internal__get_message_polling_interval = 0
END FUNCTION
FUNCTION internal__set_message_polling_interval(inval)
INTEGER,intent(in) :: inval
INTEGER :: internal__set_message_polling_interval
polling_interval = inval
internal__set_message_polling_interval = 0
END FUNCTION
"""
RECV_HEADER_SLEEP_STRING = """
SUBROUTINE mpi_recv_header(parent, ioerror)
use iso_c_binding
implicit none
INCLUDE 'mpif.h'
integer,intent(in) :: parent
integer,intent(inout) :: ioerror
integer :: request_status(MPI_STATUS_SIZE),header_request
logical is_finished
INTERFACE
INTEGER (C_INT) FUNCTION usleep(useconds) bind(C)
!SUBROUTINE usleep(useconds) bind(C)
use iso_c_binding
implicit none
INTEGER(c_int32_t), value :: useconds
END
END INTERFACE
call MPI_Irecv(header_in, HEADER_SIZE, MPI_INTEGER, 0, 989, parent, header_request, ioerror)
if(polling_interval.GT.0) then
is_finished = .false.
call MPI_Test(header_request, is_finished, request_status, ioerror)
DO WHILE(.NOT. is_finished)
ioerror = usleep(int(polling_interval, c_int32_t))
call MPI_Test(header_request, is_finished, request_status, ioerror)
END DO
call MPI_Wait(header_request, request_status, ioerror)
else
call MPI_Wait(header_request, request_status, ioerror)
endif
END SUBROUTINE
"""
RECV_HEADER_WAIT_STRING = """
SUBROUTINE mpi_recv_header(parent, ioerror)
implicit none
INCLUDE 'mpif.h'
integer,intent(in) :: parent
integer,intent(inout) :: ioerror
integer :: request_status(MPI_STATUS_SIZE),header_request
call MPI_Irecv(header_in, HEADER_SIZE, MPI_INTEGER, 0, 989, parent, header_request, ioerror)
call MPI_Wait(header_request, request_status, ioerror)
END SUBROUTINE
"""
EMPTY_RUN_LOOP_MPI_STRING = """
SUBROUTINE run_loop_mpi
implicit none
END SUBROUTINE
"""
RUN_LOOP_MPI_STRING = """
SUBROUTINE run_loop_mpi
implicit none
INCLUDE 'mpif.h'
integer :: provided
integer :: rank, parent, ioerror, max_call_count = 255
integer :: must_run_loop, maximum_size, total_string_length
integer i, offset, call_count
call MPI_INIT_THREAD(MPI_THREAD_MULTIPLE, provided, ioerror)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(string_sizes_out(max_call_count * MAX_STRINGS_OUT))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
!ensure there is at least one string to return an error code in
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
call MPI_COMM_GET_PARENT(parent, ioerror)
call MPI_COMM_RANK(parent, rank, ioerror)
last_communicator_id = last_communicator_id + 1
communicators(1) = parent
active_communicator_id = 1
must_run_loop = 1
do while (must_run_loop .eq. 1)
if ((id_to_activate .GE. 0) .AND. (id_to_activate .NE. active_communicator_id)) then
active_communicator_id = id_to_activate
id_to_activate = -1
parent = communicators(active_communicator_id)
call MPI_COMM_RANK(parent, rank, ioerror)
end if
call mpi_recv_header(parent, ioerror)
!print*, 'fortran: got header ', header_in
call_count = header_in(HEADER_CALL_COUNT)
IF (call_count .gt. max_call_count) THEN
max_call_count = call_count + 255;
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(c_booleans_in)
DEALLOCATE(c_booleans_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(string_sizes_out(max_call_count * MAX_STRINGS_OUT))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
END IF
if (header_in(HEADER_INTEGER_COUNT) .gt. 0) then
call MPI_BCast(integers_in, header_in(HEADER_INTEGER_COUNT), MPI_INTEGER, 0, parent, ioError);
end if
if (header_in(HEADER_LONG_COUNT) .gt. 0) then
call MPI_BCast(longs_in, header_in(HEADER_LONG_COUNT), MPI_INTEGER8, 0, parent, ioError);
end if
if (header_in(HEADER_FLOAT_COUNT) .gt. 0) then
call MPI_BCast(floats_in, header_in(HEADER_FLOAT_COUNT), MPI_REAL, 0, parent, ioError);
end if
if (header_in(HEADER_DOUBLE_COUNT) .gt. 0) then
call MPI_BCast(doubles_in, header_in(HEADER_DOUBLE_COUNT), MPI_REAL8, 0, parent, ioError);
end if
if (header_in(HEADER_BOOLEAN_COUNT) .gt. 0) then
! some older MPI do not define MPI_C_BOOL; this seems to work ok
! maybe booleans_in in this call should be replaced by char (more portable) or logical*1
call MPI_BCast(c_booleans_in, header_in(HEADER_BOOLEAN_COUNT), MPI_BYTE, 0, parent, ioError);
do i=1,header_in(HEADER_BOOLEAN_COUNT)
booleans_in(i)=logical(c_booleans_in(i))
enddo
end if
if (header_in(HEADER_STRING_COUNT) .gt. 0) then
strings_in = ' '
call MPI_BCast(string_sizes_in, header_in(HEADER_STRING_COUNT), MPI_INTEGER, 0, parent, ioError);
maximum_size = 0
total_string_length = 0
do i = 1, header_in(HEADER_STRING_COUNT), 1
total_string_length = total_string_length + string_sizes_in(i) + 1
if (string_sizes_in(i) .gt. maximum_size) then
maximum_size = string_sizes_in(i)
end if
end do
if(maximum_size.GT.256) then
print*, "fortran_worker reports too large string"
stop
endif
if(total_string_length.GT.1000000) then
print*, "fortran_worker reports too large string message"
stop
endif
call MPI_BCast(characters_in, total_string_length, MPI_CHARACTER, 0, parent, ioError);
offset = 1
do i = 1, header_in(HEADER_STRING_COUNT), 1
strings_in(i) = ' '
strings_in(i) = characters_in(offset : (offset + string_sizes_in(i)))
strings_in(i)((string_sizes_in(i) + 1):(string_sizes_in(i) + 1)) = ' '
offset = offset + string_sizes_in(i) + 1
!print*, 'fortran: strings_in(i) ', i, strings_in(i) , ' of length ', string_sizes_in(i), &
!' actually of size ', len_trim(strings_in(i))
end do
end if
header_out = 0
header_out(HEADER_CALL_ID) = header_in(HEADER_CALL_ID)
header_out(HEADER_FUNCTION_ID) = header_in(HEADER_FUNCTION_ID)
header_out(HEADER_CALL_COUNT) = header_in(HEADER_CALL_COUNT)
strings_out = ' '
must_run_loop = handle_call()
!print*, 'fortran: sending header ', header_out
if (rank .eq. 0 ) then
call MPI_SEND(header_out, HEADER_SIZE, MPI_INTEGER, 0, 999, parent, ioerror);
if (header_out(HEADER_INTEGER_COUNT) .gt. 0) then
call MPI_SEND(integers_out, header_out(HEADER_INTEGER_COUNT), MPI_INTEGER, 0, 999, parent, ioerror)
end if
if (header_out(HEADER_LONG_COUNT) .gt. 0) then
call MPI_SEND(longs_out, header_out(HEADER_LONG_COUNT), MPI_INTEGER8, 0, 999, parent, ioerror)
end if
if (header_out(HEADER_FLOAT_COUNT) .gt. 0) then
call MPI_SEND(floats_out, header_out(HEADER_FLOAT_COUNT), MPI_REAL, 0, 999, parent, ioerror)
end if
if (header_out(HEADER_DOUBLE_COUNT) .gt. 0) then
call MPI_SEND(doubles_out, header_out(HEADER_DOUBLE_COUNT), MPI_REAL8, 0, 999, parent, ioerror)
end if
if (header_out(HEADER_BOOLEAN_COUNT) .gt. 0) then
do i=1,header_out(HEADER_BOOLEAN_COUNT)
c_booleans_out(i)=booleans_out(i)
enddo
call MPI_SEND(c_booleans_out, header_out(HEADER_BOOLEAN_COUNT), MPI_BYTE, 0, 999, parent, ioerror)
end if
if (header_out(HEADER_STRING_COUNT) .gt. 0) then
offset = 1
do i = 1, header_out(HEADER_STRING_COUNT),1
string_sizes_out(i) = len_trim(strings_out(i))
!print*, 'fortran: sending strings, strings_out(i) ', i, strings_out(i) , ' of length ', string_sizes_out(i), &
!' actually of size ', len_trim(strings_out(i))
characters_out(offset:offset+string_sizes_out(i)) = strings_out(i)
offset = offset + string_sizes_out(i) + 1
characters_out(offset-1:offset-1) = char(0)
end do
total_string_length=offset-1
if(total_string_length.GT.1000000) then
print*, "fortran_worker reports too large string message"
stop
endif
call MPI_SEND(string_sizes_out, header_out(HEADER_STRING_COUNT), MPI_INTEGER, 0, 999, parent, ioerror)
call MPI_SEND(characters_out, offset -1, MPI_CHARACTER, 0, 999, parent, ioerror)
end if
end if
end do
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
do i = 1, last_communicator_id, 1
call MPI_COMM_DISCONNECT(communicators(i), ioerror);
end do
call MPI_FINALIZE(ioerror)
return
end subroutine
"""
RUN_LOOP_SOCKETS_STRING = """
SUBROUTINE run_loop_sockets
use iso_c_binding
use FortranSocketsInterface
implicit none
integer :: max_call_count = 255
integer :: must_run_loop, maximum_size, total_string_length
integer :: i, offset, call_count, port
character(len=32) :: port_string
character(kind=c_char, len=64) :: host
logical (c_bool), allocatable, target :: c_booleans_in(:)
logical (c_bool), allocatable, target :: c_booleans_out(:)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
!ensure there is at least one string to return an error code in
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
ALLOCATE(string_sizes_out(max(1, max_call_count * MAX_STRINGS_OUT)))
call get_command_argument(1, port_string)
call get_command_argument(2, host)
read (port_string,*) port
!add a null character to the end of the string so c knows when the string ends
host = trim(host) // c_null_char
call forsockets_init(host, port)
must_run_loop = 1
do while (must_run_loop .eq. 1)
call receive_integers(c_loc(header_in), HEADER_SIZE)
!print*, 'fortran sockets: got header ', header_in
call_count = header_in(HEADER_CALL_COUNT)
IF (call_count .gt. max_call_count) THEN
max_call_count = call_count + 255;
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(c_booleans_in)
DEALLOCATE(c_booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(string_sizes_out(max_call_count * MAX_STRINGS_OUT))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
END IF
if (header_in(HEADER_INTEGER_COUNT) .gt. 0) then
call receive_integers(c_loc(integers_in), header_in(HEADER_INTEGER_COUNT))
end if
if (header_in(HEADER_LONG_COUNT) .gt. 0) then
call receive_longs(c_loc(longs_in), header_in(HEADER_LONG_COUNT))
end if
if (header_in(HEADER_FLOAT_COUNT) .gt. 0) then
call receive_floats(c_loc(floats_in), header_in(HEADER_FLOAT_COUNT))
end if
if (header_in(HEADER_DOUBLE_COUNT) .gt. 0) then
call receive_doubles(c_loc(doubles_in), header_in(HEADER_DOUBLE_COUNT))
end if
if (header_in(HEADER_BOOLEAN_COUNT) .gt. 0) then
call receive_booleans(c_loc(c_booleans_in), header_in(HEADER_BOOLEAN_COUNT))
do i = 1, header_in(HEADER_BOOLEAN_COUNT), 1
booleans_in(i) = logical(c_booleans_in(i))
end do
end if
if (header_in(HEADER_STRING_COUNT) .gt. 0) then
strings_in = ' '
call receive_integers(c_loc(string_sizes_in), header_in(HEADER_STRING_COUNT))
maximum_size = 0
total_string_length = 0
do i = 1, header_in(HEADER_STRING_COUNT), 1
total_string_length = total_string_length + string_sizes_in(i) + 1
if (string_sizes_in(i) .gt. maximum_size) then
maximum_size = string_sizes_in(i)
end if
end do
if(maximum_size.GT.256) then
print*, "fortran_worker reports too large string"
stop
endif
if(total_string_length.GT.1000000) then
print*, "fortran_worker reports too large string message"
stop
endif
call receive_string(c_loc(c_characters_in), total_string_length)
! this trick is necessary on older gfortran compilers (~<4.9)
! as c_loc needs character(len=1)
do i=1, total_string_length
characters_in(i:i)=c_characters_in(i)
enddo
offset = 1
do i = 1, header_in(HEADER_STRING_COUNT), 1
strings_in(i) = ' '
strings_in(i) = characters_in(offset : (offset + string_sizes_in(i)))
strings_in(i)((string_sizes_in(i) + 1):(string_sizes_in(i) + 1)) = ' '
offset = offset + string_sizes_in(i) + 1
!print*, 'fortran: strings_in(i) ', i, strings_in(i) , ' of length ', string_sizes_in(i), &
!' actually of size ', len_trim(strings_in(i))
end do
end if
header_out = 0
header_out(HEADER_CALL_ID) = header_in(HEADER_CALL_ID)
header_out(HEADER_FUNCTION_ID) = header_in(HEADER_FUNCTION_ID)
header_out(HEADER_CALL_COUNT) = header_in(HEADER_CALL_COUNT)
strings_out = ' '
must_run_loop = handle_call()
!print*, 'fortran: sending header ', header_out
call send_integers(c_loc(header_out), HEADER_SIZE)
if (header_out(HEADER_INTEGER_COUNT) .gt. 0) then
call send_integers(c_loc(integers_out), header_out(HEADER_INTEGER_COUNT))
end if
if (header_out(HEADER_LONG_COUNT) .gt. 0) then
call send_longs(c_loc(longs_out), header_out(HEADER_LONG_COUNT))
end if
if (header_out(HEADER_FLOAT_COUNT) .gt. 0) then
call send_floats(c_loc(floats_out), header_out(HEADER_FLOAT_COUNT))
end if
if (header_out(HEADER_DOUBLE_COUNT) .gt. 0) then
call send_doubles(c_loc(doubles_out), header_out(HEADER_DOUBLE_COUNT))
end if
if (header_out(HEADER_BOOLEAN_COUNT) .gt. 0) then
do i = 1, header_out(HEADER_BOOLEAN_COUNT), 1
c_booleans_out(i) = logical(booleans_out(i), c_bool)
end do
call send_booleans(c_loc(c_booleans_out), header_out(HEADER_BOOLEAN_COUNT))
end if
if (header_out(HEADER_STRING_COUNT) .gt. 0) then
offset = 1
do i = 1, header_out(HEADER_STRING_COUNT),1
string_sizes_out(i) = len_trim(strings_out(i))
!print*, 'fortran: sending strings, strings_out(i) ', i, strings_out(i) , ' of length ', string_sizes_out(i), &
!' actually of size ', len_trim(strings_out(i))
characters_out(offset:offset+string_sizes_out(i)) = strings_out(i)
offset = offset + string_sizes_out(i) + 1
characters_out(offset-1:offset-1) = char(0)
end do
total_string_length=offset-1
if(total_string_length.GT.1000000) then
print*, "fortran_worker reports too large string message"
stop
endif
do i=1, total_string_length
c_characters_out(i)=characters_out(i:i)
enddo
call send_integers(c_loc(string_sizes_out), header_out(HEADER_STRING_COUNT))
call send_string(c_loc(c_characters_out), offset-1 )
end if
end do
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(c_booleans_in)
DEALLOCATE(c_booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
call forsockets_close()
return
end subroutine
"""
EMPTY_RUN_LOOP_SOCKETS_STRING = """
subroutine run_loop_sockets
print*, 'fortran: sockets channel not supported in this worker'
return
end subroutine
"""
RUN_LOOP_SOCKETS_MPI_STRING = """
SUBROUTINE run_loop_sockets_mpi
use iso_c_binding
use FortranSocketsInterface
implicit none
include 'mpif.h'
integer :: provided
integer :: max_call_count = 255
integer :: must_run_loop, maximum_size, total_string_length
integer :: i, offset, call_count, port, rank, ioerror
character(len=32) :: port_string
character(kind=c_char, len=64) :: host
logical (c_bool), allocatable, target :: c_booleans_in(:)
logical (c_bool), allocatable, target :: c_booleans_out(:)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
!ensure there is at least one string to return an error code in
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
ALLOCATE(string_sizes_out(max(1, max_call_count * MAX_STRINGS_OUT)))
call mpi_init_thread(mpi_thread_multiple, provided, ioerror)
call mpi_comm_rank(MPI_COMM_WORLD, rank, ioerror)
if (rank .eq. 0) then
call get_command_argument(1, port_string)
call get_command_argument(2, host)
read (port_string,*) port
!add a null character to the end of the string so c knows when the string ends
host = trim(host) // c_null_char
call forsockets_init(host, port)
end if
must_run_loop = 1
do while (must_run_loop .eq. 1)
if (rank .eq. 0) then
call receive_integers(c_loc(header_in), HEADER_SIZE)
end if
call MPI_BCast(header_in, HEADER_SIZE , MPI_INTEGER, 0, MPI_COMM_WORLD, ioerror)
!print*, 'fortran sockets mpi: got header ', header_in
call_count = header_in(HEADER_CALL_COUNT)
IF (call_count .gt. max_call_count) THEN
max_call_count = call_count + 255;
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(c_booleans_in)
DEALLOCATE(c_booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
ALLOCATE(integers_in(max_call_count * MAX_INTEGERS_IN))
ALLOCATE(integers_out(max_call_count * MAX_INTEGERS_OUT))
ALLOCATE(longs_in(max_call_count * MAX_LONGS_IN))
ALLOCATE(longs_out(max_call_count * MAX_LONGS_OUT))
ALLOCATE(floats_in(max_call_count * MAX_FLOATS_IN))
ALLOCATE(floats_out(max_call_count * MAX_FLOATS_OUT))
ALLOCATE(doubles_in(max_call_count * MAX_DOUBLES_IN))
ALLOCATE(doubles_out(max_call_count * MAX_DOUBLES_OUT))
ALLOCATE(booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(c_booleans_in(max_call_count * MAX_BOOLEANS_IN))
ALLOCATE(c_booleans_out(max_call_count * MAX_BOOLEANS_OUT))
ALLOCATE(string_sizes_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(string_sizes_out(max_call_count * MAX_STRINGS_OUT))
ALLOCATE(strings_in(max_call_count * MAX_STRINGS_IN))
ALLOCATE(strings_out(max(1, max_call_count * MAX_STRINGS_OUT)))
END IF
if (header_in(HEADER_INTEGER_COUNT) .gt. 0) then
if (rank .eq. 0) then
call receive_integers(c_loc(integers_in), header_in(HEADER_INTEGER_COUNT))
end if
call MPI_BCast(integers_in, header_in(HEADER_INTEGER_COUNT), MPI_INTEGER, 0, MPI_COMM_WORLD, ioError);
end if
if (header_in(HEADER_LONG_COUNT) .gt. 0) then
if (rank .eq. 0) then
call receive_longs(c_loc(longs_in), header_in(HEADER_LONG_COUNT))
end if
call MPI_BCast(longs_in, header_in(HEADER_LONG_COUNT), MPI_INTEGER8, 0, MPI_COMM_WORLD, ioError);
end if
if (header_in(HEADER_FLOAT_COUNT) .gt. 0) then
if (rank .eq. 0) then
call receive_floats(c_loc(floats_in), header_in(HEADER_FLOAT_COUNT))
end if
call MPI_BCast(floats_in, header_in(HEADER_FLOAT_COUNT), MPI_REAL, 0, MPI_COMM_WORLD, ioerror)
end if
if (header_in(HEADER_DOUBLE_COUNT) .gt. 0) then
if (rank .eq. 0) then
call receive_doubles(c_loc(doubles_in), header_in(HEADER_DOUBLE_COUNT))
end if
call MPI_BCast(doubles_in, header_in(HEADER_DOUBLE_COUNT), MPI_REAL8, 0, MPI_COMM_WORLD, ioerror)
end if
if (header_in(HEADER_BOOLEAN_COUNT) .gt. 0) then
if (rank .eq. 0) then
call receive_booleans(c_loc(c_booleans_in), header_in(HEADER_BOOLEAN_COUNT))
do i = 1, header_in(HEADER_BOOLEAN_COUNT), 1
booleans_in(i) = logical(c_booleans_in(i))
end do
end if
call MPI_BCast(booleans_in, header_in(HEADER_BOOLEAN_COUNT), MPI_LOGICAL, 0, MPI_COMM_WORLD, ioerror)
end if
if (header_in(HEADER_STRING_COUNT) .gt. 0) then
strings_in = ' '
if (rank .eq. 0) then
call receive_integers(c_loc(string_sizes_in), header_in(HEADER_STRING_COUNT))
end if
call MPI_BCast(string_sizes_in, header_in(HEADER_STRING_COUNT), MPI_INTEGER, 0, MPI_COMM_WORLD, ioError);
maximum_size = 0
total_string_length = 0
do i = 1, header_in(HEADER_STRING_COUNT), 1
total_string_length = total_string_length + string_sizes_in(i) + 1
if (string_sizes_in(i) .gt. maximum_size) then
maximum_size = string_sizes_in(i)
end if
end do
if(maximum_size.GT.256) then
print*, "fortran_worker reports too large string"
stop
endif
if(total_string_length.GT.1000000) then
print*, "fortran_worker reports too large string message"
stop
endif
if (rank .eq. 0) then
call receive_string(c_loc(c_characters_in), total_string_length)
endif
do i=1, total_string_length
characters_in(i:i)=c_characters_in(i)
enddo
call MPI_BCast(characters_in, total_string_length, MPI_CHARACTER, 0, MPI_COMM_WORLD, ioError);
offset = 1
do i = 1, header_in(HEADER_STRING_COUNT), 1
strings_in(i) = ' '
strings_in(i) = characters_in(offset : (offset + string_sizes_in(i)))
strings_in(i)((string_sizes_in(i) + 1):(string_sizes_in(i) + 1)) = ' '
offset = offset + string_sizes_in(i) + 1
!print*, 'fortran: strings_in(i) ', i, strings_in(i) , ' of length ', string_sizes_in(i), &
!' actually of size ', len_trim(strings_in(i))
end do
end if
header_out = 0
header_out(HEADER_CALL_ID) = header_in(HEADER_CALL_ID)
header_out(HEADER_FUNCTION_ID) = header_in(HEADER_FUNCTION_ID)
header_out(HEADER_CALL_COUNT) = header_in(HEADER_CALL_COUNT)
strings_out = ' '
must_run_loop = handle_call()
call MPI_Barrier(MPI_COMM_WORLD, ioerror)
if (rank .eq. 0) then
!print*, 'fortran: sending header ', header_out
call send_integers(c_loc(header_out), HEADER_SIZE)
if (header_out(HEADER_INTEGER_COUNT) .gt. 0) then
call send_integers(c_loc(integers_out), header_out(HEADER_INTEGER_COUNT))
end if
if (header_out(HEADER_LONG_COUNT) .gt. 0) then
call send_longs(c_loc(longs_out), header_out(HEADER_LONG_COUNT))
end if
if (header_out(HEADER_FLOAT_COUNT) .gt. 0) then
call send_floats(c_loc(floats_out), header_out(HEADER_FLOAT_COUNT))
end if
if (header_out(HEADER_DOUBLE_COUNT) .gt. 0) then
call send_doubles(c_loc(doubles_out), header_out(HEADER_DOUBLE_COUNT))
end if
if (header_out(HEADER_BOOLEAN_COUNT) .gt. 0) then
do i = 1, header_out(HEADER_BOOLEAN_COUNT), 1
c_booleans_out(i) = logical(booleans_out(i), c_bool)
!print*, 'fortran sockets mpi: sending boolean', booleans_out(i) , i, ' send as ', c_booleans_out(i)
end do
call send_booleans(c_loc(c_booleans_out), header_out(HEADER_BOOLEAN_COUNT))
end if
if (header_out(HEADER_STRING_COUNT) .gt. 0) then
offset = 1
do i = 1, header_out(HEADER_STRING_COUNT),1
string_sizes_out(i) = len_trim(strings_out(i))
!print*, 'fortran: sending strings, strings_out(i) ', i, strings_out(i) , ' of length ', string_sizes_out(i), &
!' actually of size ', len_trim(strings_out(i))
characters_out(offset:offset+string_sizes_out(i)) = strings_out(i)
offset = offset + string_sizes_out(i) + 1
characters_out(offset-1:offset-1) = char(0)
end do
total_string_length=offset-1
if(total_string_length.GT.1000000) then
print*, "fortran_Worker reports too large string message"
stop
endif
do i=1, total_string_length
c_characters_out(i)=characters_out(i:i)
enddo
call send_integers(c_loc(string_sizes_out), header_out(HEADER_STRING_COUNT))
call send_string(c_loc(c_characters_out), offset-1 )
end if
end if
end do
DEALLOCATE(integers_in)
DEALLOCATE(integers_out)
DEALLOCATE(longs_in)
DEALLOCATE(longs_out)
DEALLOCATE(floats_in)
DEALLOCATE(floats_out)
DEALLOCATE(doubles_in)
DEALLOCATE(doubles_out)
DEALLOCATE(booleans_in)
DEALLOCATE(booleans_out)
DEALLOCATE(string_sizes_in)
DEALLOCATE(string_sizes_out)
DEALLOCATE(strings_in)
DEALLOCATE(strings_out)
if (rank .eq. 0) then
call forsockets_close()
end if
call MPI_FINALIZE(ioerror)
return
end subroutine
"""
EMPTY_RUN_LOOP_SOCKETS_MPI_STRING = """
subroutine run_loop_sockets_mpi
print*, 'fortran: sockets channel not supported in this worker'
return
end subroutine
"""
MAIN_STRING = """
integer :: count
logical :: use_mpi
character(len=32) :: use_mpi_string
count = command_argument_count()
use_mpi = NEEDS_MPI
if (count .eq. 0) then
call run_loop_mpi()
else if (count .eq. 3) then
call get_command_argument(3, use_mpi_string)
if (use_mpi_string .eq. 'true') then
use_mpi = .true.
else if (use_mpi_string .eq. 'false') then
use_mpi = .false.
else
print*, 'fortran worker: need either true or false as mpi enable arguments, not', use_mpi_string
stop
end if
if (use_mpi) then
call run_loop_sockets_mpi()
else
call run_loop_sockets()
end if
else
print*, 'fortran worker: need either 0 or 3 arguments, not', count
stop
end if
"""
class GenerateAFortranStringOfAFunctionSpecification(GenerateASourcecodeString):
MAX_STRING_LEN = 256
@late
def specification(self):
raise exceptions.AmuseException("No specification set, please set the specification first")
@late
def underscore_functions_from_specification_classes(self):
return []
@late
def dtype_to_spec(self):
return dtype_to_spec
def index_string(self, index, must_copy_in_to_out = False):
if self.specification.must_handle_array and not must_copy_in_to_out:
if index == 0:
return '1'
else:
return '( %d * call_count) + 1' % (index )
elif self.specification.can_handle_array or (self.specification.must_handle_array and must_copy_in_to_out):
if index == 0:
return 'i'
else:
if index == -1:
return "i - 1"
else:
return '( %d * call_count) + i' % index
else:
return index + 1
def start(self):
self.specification.prepare_output_parameters()
self.output_casestmt_start()
self.out.indent()
#self.output_lines_before_with_clear_out_variables()
#self.output_lines_before_with_clear_input_variables()
if self.specification.must_handle_array:
pass
elif self.specification.can_handle_array:
self.out.lf() + 'do i = 1, call_count, 1'
self.out.indent()
#self.output_lines_before_with_inout_variables()
self.output_function_start()
self.output_function_parameters()
self.output_function_end()
self.output_lines_with_inout_variables()
if self.specification.must_handle_array:
if not self.specification.result_type is None:
spec = self.dtype_to_spec[self.specification.result_type]
self.out.lf() + 'DO i = 2, call_count'
self.out.indent()
self.out.lf() + spec.output_var_name + '(i)' + ' = ' + spec.output_var_name + '(1)'
self.out.dedent()
self.out.lf() + 'END DO'
elif self.specification.can_handle_array:
self.out.dedent()
self.out.lf() + 'end do'
self.output_lines_with_number_of_outputs()
self.output_casestmt_end()
self.out.dedent()
self._result = self.out.string
def output_function_parameters(self):
self.out.indent()
first = True
for parameter in self.specification.parameters:
spec = self.dtype_to_spec[parameter.datatype]
if first:
first = False
self.out + ' &'
else:
self.out + ' ,&'
if parameter.direction == LegacyFunctionSpecification.IN:
# if parameter.datatype == 'string':
# self.out.n() + 'input_characters('
# self.out + '( (' + self.index_string(parameter.input_index) + ')* ' + self.MAX_STRING_LEN + ')'
# self.out + ':' + '(((' + self.index_string(parameter.input_index) + ')* ' + self.MAX_STRING_LEN + ') +'
# self.out + '(' + spec.input_var_name + '(' + self.index_string(parameter.input_index) + ')' + '-'
# self.out + 'get_offset(' + self.index_string(parameter.input_index) + ' - 1 , '+spec.input_var_name +') ))'
# self.out + ')'
# else:
if parameter.datatype == 'string':
self.out.n() + 'strings_in(' + self.index_string(parameter.input_index) + ')'
else:
self.out.n() + spec.input_var_name
self.out + '(' + self.index_string(parameter.input_index) + ')'
if parameter.direction == LegacyFunctionSpecification.INOUT:
# if parameter.datatype == 'string':
# self.out.n() + 'output_characters('
# self.out + '((' + self.index_string(parameter.output_index) + ')* ' + self.MAX_STRING_LEN + ')'
# self.out + ':' + '(((' + self.index_string(parameter.output_index) + ')+1) * ' + self.MAX_STRING_LEN + ' - 1)'
# self.out + ')'
# else:
# if parameter.datatype == 'string':
# self.out.n() + spec.input_var_name
# self.out + '(' + self.index_string(parameter.input_index) + ', :)'
# else:
self.out.n() + spec.input_var_name
self.out + '(' + self.index_string(parameter.input_index) + ')'
elif parameter.direction == LegacyFunctionSpecification.OUT:
# if parameter.datatype == 'string':
# self.out.n() + 'output_characters('
# self.out + '((' + self.index_string(parameter.output_index) + ')* ' + self.MAX_STRING_LEN + ')'
# self.out + ':' + '(((' + self.index_string(parameter.output_index) + ')+1) * ' + self.MAX_STRING_LEN + ' - 1)'
# self.out + ')'
# else:
# if parameter.datatype == 'string':
# self.out.n() + spec.output_var_name
# self.out + '(' + self.index_string(parameter.output_index) + ')(1:50)'
# else:
self.out.n() + spec.output_var_name
self.out + '(' + self.index_string(parameter.output_index) + ')'
elif parameter.direction == LegacyFunctionSpecification.LENGTH:
self.out.n() + 'call_count'
self.out.dedent()
def output_lines_with_inout_variables(self):
for parameter in self.specification.parameters:
spec = self.dtype_to_spec[parameter.datatype]
if parameter.direction == LegacyFunctionSpecification.INOUT:
if self.specification.must_handle_array:
self.out.lf() + 'DO i = 1, call_count'
self.out.indent()
self.out.n() + spec.output_var_name
self.out + '(' + self.index_string(parameter.output_index, must_copy_in_to_out = True) + ')'
self.out + ' = '
self.out + spec.input_var_name + '(' + self.index_string(parameter.input_index, must_copy_in_to_out = True) + ')'
if self.specification.must_handle_array:
self.out.dedent()
self.out.lf() + 'END DO'
def output_lines_before_with_clear_out_variables(self):
for parameter in self.specification.parameters:
spec = self.dtype_to_spec[parameter.datatype]
if parameter.is_output():
if parameter.datatype == 'string':
self.out.lf() + 'output_characters = "x"'
return
def output_lines_before_with_clear_input_variables(self):
for parameter in self.specification.parameters:
spec = self.dtype_to_spec[parameter.datatype]
if parameter.is_input():
if parameter.datatype == 'string':
self.out.lf() + 'input_characters = "x"'
return
def output_lines_before_with_inout_variables(self):
for parameter in self.specification.parameters:
spec = self.dtype_to_spec[parameter.datatype]
if parameter.direction == LegacyFunctionSpecification.IN:
if parameter.datatype == 'string':
self.out.n() + 'input_characters('
self.out + '( (' + self.index_string(parameter.input_index) + ')* ' + self.MAX_STRING_LEN + ')'
self.out + ':' + '(((' + self.index_string(parameter.input_index) + ')+1) * ' + self.MAX_STRING_LEN + ' - 1)'
self.out + ') = &'
self.out.lf()
self.out + 'characters('
self.out + 'get_offset(' + self.index_string(parameter.input_index) + ' - 1 , '+spec.input_var_name +')'
self.out + ':' + spec.input_var_name + '(' + self.index_string(parameter.input_index) + ')'
self.out + ')'
if parameter.direction == LegacyFunctionSpecification.INOUT:
if parameter.datatype == 'string':
self.out.n() + 'output_characters('
self.out + '( (' + self.index_string(parameter.output_index) + ')* ' + self.MAX_STRING_LEN + ')'
self.out + ':' + '(((' + self.index_string(parameter.output_index) + ')+1) * ' + self.MAX_STRING_LEN + ' - 1)'
self.out + ') = &'
self.out.lf()
self.out + 'characters('
self.out + 'get_offset(' + self.index_string(parameter.input_index) + ' - 1 , '+spec.input_var_name +')'
self.out + ':' + spec.input_var_name + '(' + self.index_string(parameter.input_index) + ')'
self.out + ')'
def output_lines_with_number_of_outputs(self):
dtype_to_count = {}
for parameter in self.specification.output_parameters:
count = dtype_to_count.get(parameter.datatype, 0)
dtype_to_count[parameter.datatype] = count + 1
if not self.specification.result_type is None:
count = dtype_to_count.get(self.specification.result_type, 0)
dtype_to_count[self.specification.result_type] = count + 1
for dtype in dtype_to_count:
spec = self.dtype_to_spec[dtype]
count = dtype_to_count[dtype]
self.out.n() + 'header_out(' + spec.counter_name + ') = ' + count + ' * call_count'
pass
def output_function_end(self):
self.out + ' &'
self.out.n() + ')'
def output_function_start(self):
self.out.n()
if not self.specification.result_type is None:
spec = self.dtype_to_spec[self.specification.result_type]
# if self.specification.result_type == 'string':
# self.out + 'output_characters('
# self.out + '( (' + self.index_string(0) + ')* ' + self.MAX_STRING_LEN + ')'
# self.out + ':' + '(((' + self.index_string(0) + ')+1)*' + self.MAX_STRING_LEN + '-1)'
# self.out + ') = &'
# self.out.lf()
# else:
self.out + spec.output_var_name
self.out + '(' + self.index_string(0) + ')' + ' = '
else:
self.out + 'CALL '
self.out + self.specification.name
if self.must_add_underscore_to_function(self.specification):
self.out + '_'
self.out + '('
def output_casestmt_start(self):
self.out + 'CASE(' + self.specification.id + ')'
def output_casestmt_end(self):
self.out.n()
def must_add_underscore_to_function(self, x):
for cls in self.underscore_functions_from_specification_classes:
if hasattr(cls, x.name):
return True
return False
class GenerateAFortranSourcecodeStringFromASpecificationClass(GenerateASourcecodeStringFromASpecificationClass):
MAX_STRING_LEN = 256
@late
def dtype_to_spec(self):
return dtype_to_spec
@late
def number_of_types(self):
return len(self.dtype_to_spec)
@late
def length_of_the_header(self):
return 2 + self.number_of_types
@late
def underscore_functions_from_specification_classes(self):
return []
def output_sourcecode_for_function(self):
result = GenerateAFortranStringOfAFunctionSpecification()
result.underscore_functions_from_specification_classes = self.underscore_functions_from_specification_classes
return result
def output_needs_mpi(self):
self.out.lf() + 'logical NEEDS_MPI'
if (hasattr(self, 'needs_mpi') and self.needs_mpi) and self.must_generate_mpi:
self.out.lf() + 'parameter (NEEDS_MPI=.true.)'
else:
self.out.lf() + 'parameter (NEEDS_MPI=.false.)'
self.out.lf().lf()
def start(self):
self.use_iso_c_bindings = config.compilers.fc_iso_c_bindings
self.out + 'program amuse_worker_program'
self.out.indent()
self.output_modules()
if self.use_iso_c_bindings:
self.out.n() + 'use iso_c_binding'
self.out.n() + 'implicit none'
self.out.n() + CONSTANTS_STRING
self.output_needs_mpi()
self.output_maximum_constants()
if self.must_generate_mpi:
self.out.lf().lf() + MODULE_GLOBALS_STRING
else:
self.out.lf().lf() + NOMPI_MODULE_GLOBALS_STRING
if self.use_iso_c_bindings:
self.out.n() + ISO_ARRAY_DEFINES_STRING
else:
self.out.n() + ARRAY_DEFINES_STRING
self.out.lf().lf() + MAIN_STRING
self.out.lf().lf() + 'CONTAINS'
self.out + POLLING_FUNCTIONS_STRING
if self.must_generate_mpi:
self.out + INTERNAL_FUNCTIONS_STRING
if self.use_iso_c_bindings:
self.out + RECV_HEADER_SLEEP_STRING
else:
self.out + RECV_HEADER_WAIT_STRING
self.out + RUN_LOOP_MPI_STRING
else:
self.out + NOMPI_INTERNAL_FUNCTIONS_STRING
self.out + EMPTY_RUN_LOOP_MPI_STRING
if self.use_iso_c_bindings:
self.out.n() + RUN_LOOP_SOCKETS_STRING
if self.must_generate_mpi:
self.out.n() + RUN_LOOP_SOCKETS_MPI_STRING
else:
self.out.n() + EMPTY_RUN_LOOP_SOCKETS_MPI_STRING
else:
self.out.n() + EMPTY_RUN_LOOP_SOCKETS_STRING
self.out.n() + EMPTY_RUN_LOOP_SOCKETS_MPI_STRING
self.output_handle_call()
self.out.dedent()
self.out.n() + 'end program amuse_worker_program'
self._result = self.out.string
def output_mpi_include(self):
self.out.n() + "INCLUDE 'mpif.h'"
def output_modules(self):
self.out.n()
if hasattr(self.specification_class, 'use_modules'):
for x in self.specification_class.use_modules:
self.out.n() + 'use ' + x
def must_include_declaration_of_function(self, x):
if x.specification.name.startswith("internal__"):
return False
return True
def output_declarations_for_the_functions(self):
if not hasattr(self.specification_class, 'use_modules'):
for x in self.interface_functions:
if not self.must_include_declaration_of_function(x):
continue
specification = x.specification
if specification.id == 0:
continue
if specification.result_type is None:
continue
if specification.result_type == 'string':
type = 'CHARACTER(len=255)'
else:
spec = self.dtype_to_spec[specification.result_type]
type = spec.type
self.out.lf() + type + ' :: ' + specification.name
if self.must_add_underscore_to_function(x):
self.out + '_'
def must_add_underscore_to_function(self, x):
for cls in self.underscore_functions_from_specification_classes:
if hasattr(cls, x.specification.name):
return True
return False
def output_handle_call(self):
self.out.lf() + 'integer function handle_call()'
self.out.indent().n()
self.out.lf() + 'implicit none'
self.output_declarations_for_the_functions()
self.out.lf() + 'integer i, call_count'
self.out.lf() + 'call_count = header_in(HEADER_CALL_COUNT)'
self.out.lf() + 'handle_call = 1'
self.out.lf() + 'SELECT CASE (header_in(HEADER_FUNCTION_ID))'
self.out.indent().n()
self.out.lf() + 'CASE(0)'
self.out.indent().lf()+'handle_call = 0'
self.out.dedent()
self.output_sourcecode_for_functions()
self.out.lf() + 'CASE DEFAULT'
self.out.indent()
self.out.lf() + 'header_out(HEADER_STRING_COUNT) = 1'
self.out.lf() + 'header_out(HEADER_FLAGS) = IOR(header_out(HEADER_FLAGS), 256) '
self.out.lf() + "strings_out(1) = 'error, illegal function id'"
self.out.dedent()
self.out.dedent().n() + 'END SELECT'
self.out.n() + 'return'
self.out.dedent()
self.out.n() + 'end function'
def output_maximum_constants(self):
self.out.lf() + 'integer MAX_INTEGERS_IN, MAX_INTEGERS_OUT, MAX_LONGS_IN, MAX_LONGS_OUT, &'
self.out.lf() + 'MAX_FLOATS_IN, MAX_FLOATS_OUT, MAX_DOUBLES_IN,MAX_DOUBLES_OUT, &'
self.out.lf() + 'MAX_BOOLEANS_IN,MAX_BOOLEANS_OUT, MAX_STRINGS_IN, MAX_STRINGS_OUT'
self.out.lf()
for dtype in self.dtype_to_spec.keys():
dtype_spec = self.dtype_to_spec[dtype]
maximum = self.mapping_from_dtype_to_maximum_number_of_inputvariables.get(dtype,0)
self.out.n() + 'parameter (MAX_' + dtype_spec.input_var_name.upper() + '=' + maximum + ')'
maximum =self.mapping_from_dtype_to_maximum_number_of_outputvariables.get(dtype,0)
self.out.n() + 'parameter (MAX_' + dtype_spec.output_var_name.upper() + '=' + maximum + ')'
class GenerateAFortranStubStringFromASpecificationClass\
(GenerateASourcecodeStringFromASpecificationClass):
@late
def dtype_to_spec(self):
return dtype_to_spec
@late
def ignore_functions_from_specification_classes(self):
return []
@late
def underscore_functions_from_specification_classes(self):
return []
def output_sourcecode_for_function(self):
result = create_definition.CreateFortranStub()
result.output_definition_only = False
return result
def start(self):
self.output_modules()
self.out.lf()
self.output_sourcecode_for_functions()
self.out.lf()
self._result = self.out.string
def must_include_interface_function_in_output(self, x):
if x.specification.name.startswith("internal__"):
return False
for cls in self.ignore_functions_from_specification_classes:
if hasattr(cls, x.specification.name):
return False
return True
def output_modules(self):
self.out.n()
if hasattr(self.specification_class, 'use_modules'):
for x in self.specification_class.use_modules:
self.out.n() + 'use ' + x
| 38.694596 | 132 | 0.623427 | 7,816 | 63,730 | 4.730169 | 0.042733 | 0.029158 | 0.034081 | 0.038949 | 0.832896 | 0.794731 | 0.752617 | 0.704579 | 0.666847 | 0.645614 | 0 | 0.011476 | 0.284889 | 63,730 | 1,646 | 133 | 38.718105 | 0.799754 | 0.03802 | 0 | 0.713276 | 1 | 0.007855 | 0.714309 | 0.247172 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029065 | false | 0.001571 | 0.007855 | 0.00707 | 0.067557 | 0.020424 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
1e265b3ae8c065184df7633e84cd6bebc489d53b | 3,558 | py | Python | tests/integration/test_debug_layout.py | benjamintemitope/SublimeTextXdebug | 7b62975aed85f4bc839d908d7a696d1ca2b794d9 | [
"MIT"
] | 344 | 2015-01-03T01:55:52.000Z | 2022-01-11T08:52:55.000Z | tests/integration/test_debug_layout.py | benjamintemitope/SublimeTextXdebug | 7b62975aed85f4bc839d908d7a696d1ca2b794d9 | [
"MIT"
] | 107 | 2015-01-05T12:46:39.000Z | 2021-03-25T04:56:16.000Z | tests/integration/test_debug_layout.py | benjamintemitope/SublimeTextXdebug | 7b62975aed85f4bc839d908d7a696d1ca2b794d9 | [
"MIT"
] | 82 | 2015-01-10T16:02:50.000Z | 2022-01-18T19:25:58.000Z | try:
from xdebug.unittesting import XdebugDeferrableTestCase
except:
from SublimeTextXdebug.xdebug.unittesting import XdebugDeferrableTestCase
class TestDebugLayout(XdebugDeferrableTestCase):
def window_does_not_have_debug_layout(self):
breakpoint_view = self.get_view_by_title('Xdebug Breakpoint')
context_view = self.get_view_by_title('Xdebug Context')
stack_view = self.get_view_by_title('Xdebug Stack')
watch_view = self.get_view_by_title('Xdebug Watch')
return not breakpoint_view and not context_view and not stack_view and not watch_view
def test_debug_layout_remains_open_on_session_stop(self):
self.set_xdebug_settings({
'break_on_start': True
})
yield self.window_has_xdebug_settings
self.run_command('xdebug_session_start')
yield self.window_has_debug_layout
stack_view = self.get_view_by_title('Xdebug Stack')
self.send_server_request()
def stack_has_content():
return not self.view_is_empty(stack_view)
yield stack_has_content
self.run_command('xdebug_session_stop')
self.assertIsNotNone(self.get_view_by_title('Xdebug Breakpoint'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Context'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Stack'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Watch'))
def test_debug_layout_is_restored_after_session_stop(self):
self.set_xdebug_settings({
'break_on_start': True
})
yield self.window_has_xdebug_settings
self.run_command('xdebug_session_start')
yield self.window_has_debug_layout
stack_view = self.get_view_by_title('Xdebug Stack')
self.send_server_request()
def stack_has_content():
return not self.view_is_empty(stack_view)
yield stack_has_content
self.run_command('xdebug_session_stop')
self.assertIsNotNone(self.get_view_by_title('Xdebug Breakpoint'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Context'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Stack'))
self.assertIsNotNone(self.get_view_by_title('Xdebug Watch'))
self.run_command('xdebug_layout', {'restore': True})
yield self.window_does_not_have_debug_layout
self.assertIsNone(self.get_view_by_title('Xdebug Breakpoint'))
self.assertIsNone(self.get_view_by_title('Xdebug Context'))
self.assertIsNone(self.get_view_by_title('Xdebug Stack'))
self.assertIsNone(self.get_view_by_title('Xdebug Watch'))
def test_debug_layout_is_closed_on_session_stop(self):
self.set_xdebug_settings({
'break_on_start': True,
'close_on_stop': True
})
yield self.window_has_xdebug_settings
self.run_command('xdebug_session_start')
yield self.window_has_debug_layout
stack_view = self.get_view_by_title('Xdebug Stack')
self.send_server_request()
def stack_has_content():
return not self.view_is_empty(stack_view)
yield stack_has_content
self.run_command('xdebug_session_stop')
yield self.window_does_not_have_debug_layout
self.assertIsNone(self.get_view_by_title('Xdebug Breakpoint'))
self.assertIsNone(self.get_view_by_title('Xdebug Context'))
self.assertIsNone(self.get_view_by_title('Xdebug Stack'))
self.assertIsNone(self.get_view_by_title('Xdebug Watch'))
| 37.851064 | 93 | 0.715571 | 460 | 3,558 | 5.11087 | 0.121739 | 0.068482 | 0.107614 | 0.12718 | 0.845598 | 0.845598 | 0.845598 | 0.786899 | 0.786899 | 0.770736 | 0 | 0 | 0.201799 | 3,558 | 93 | 94 | 38.258065 | 0.827817 | 0 | 0 | 0.771429 | 0 | 0 | 0.141372 | 0 | 0 | 0 | 0 | 0 | 0.228571 | 1 | 0.1 | false | 0 | 0.028571 | 0.042857 | 0.2 | 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 |
1e4d5dee2dccb4bc591ffa0d5a11cc09f618dd0b | 2,367 | py | Python | loading.py | Cherepok3-python/loading | e2719dd3d116cf3cded01fdbb152efc11d32e8b6 | [
"MIT"
] | null | null | null | loading.py | Cherepok3-python/loading | e2719dd3d116cf3cded01fdbb152efc11d32e8b6 | [
"MIT"
] | null | null | null | loading.py | Cherepok3-python/loading | e2719dd3d116cf3cded01fdbb152efc11d32e8b6 | [
"MIT"
] | null | null | null | import time
import sys
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rloading |')
time.sleep(0.1)
sys.stdout.write('\rloading /')
time.sleep(0.1)
sys.stdout.write('\rloading -')
time.sleep(0.1)
sys.stdout.write('\rloading \\')
time.sleep(0.1)
sys.stdout.write('\rDone!') | 23.67 | 32 | 0.685256 | 392 | 2,367 | 4.137755 | 0.02551 | 0.271887 | 0.422935 | 0.651048 | 0.985203 | 0.985203 | 0.985203 | 0.985203 | 0.985203 | 0.985203 | 0 | 0.043282 | 0.062949 | 2,367 | 100 | 33 | 23.67 | 0.688007 | 0 | 0 | 0.969697 | 0 | 0 | 0.230997 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.020202 | 0 | 0.020202 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
1ec98e5639493d631e014d9de4bd49e85d1da890 | 140 | py | Python | jmu_gradescope_utils/__init__.py | JMU-CS/jmu_python_gradescope_utils | 842d6bdb7d6271eaffbf589942b7dd18e6f91f41 | [
"MIT"
] | null | null | null | jmu_gradescope_utils/__init__.py | JMU-CS/jmu_python_gradescope_utils | 842d6bdb7d6271eaffbf589942b7dd18e6f91f41 | [
"MIT"
] | 1 | 2022-01-11T13:22:08.000Z | 2022-01-11T14:25:06.000Z | jmu_gradescope_utils/__init__.py | JMU-CS/jmu_python_gradescope_utils | 842d6bdb7d6271eaffbf589942b7dd18e6f91f41 | [
"MIT"
] | null | null | null | from jmu_gradescope_utils.jmu_test_case import *
from jmu_gradescope_utils.utils import *
from jmu_gradescope_utils.coverage_utils import *
| 35 | 49 | 0.871429 | 21 | 140 | 5.380952 | 0.380952 | 0.185841 | 0.451327 | 0.584071 | 0.495575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 140 | 3 | 50 | 46.666667 | 0.882813 | 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 |
1ee59ea523e79c9d0668d2d7685ab257ffa40525 | 2,325 | py | Python | ds/numpy.py | amresht/hackerrank | 184502d275654fde68b93c3a4fbb341bbf1f81ca | [
"MIT"
] | null | null | null | ds/numpy.py | amresht/hackerrank | 184502d275654fde68b93c3a4fbb341bbf1f81ca | [
"MIT"
] | null | null | null | ds/numpy.py | amresht/hackerrank | 184502d275654fde68b93c3a4fbb341bbf1f81ca | [
"MIT"
] | null | null | null | {
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'null' is not defined",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-2-d4cdadb62aa7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32mG:\\GITHUB\\hackerrank\\ds\\numpy.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 25\u001b[0m {\n\u001b[0;32m 26\u001b[0m \u001b[1;34m\"cell_type\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m\"code\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 27\u001b[1;33m \u001b[1;34m\"execution_count\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnull\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 28\u001b[0m \u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 29\u001b[0m \u001b[1;34m\"outputs\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mNameError\u001b[0m: name 'null' is not defined"
]
}
],
"source": [
"import numpy\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
| 42.272727 | 957 | 0.594839 | 355 | 2,325 | 3.856338 | 0.225352 | 0.245435 | 0.315559 | 0.265888 | 0.609204 | 0.450694 | 0.427319 | 0.427319 | 0.406866 | 0.385683 | 0 | 0.251266 | 0.150968 | 2,325 | 54 | 958 | 43.055556 | 0.442249 | 0 | 0 | 0.111111 | 0 | 0.12963 | 0.777634 | 0.466237 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.037037 | 0 | 0.037037 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
94dc3b3557bcf2cdeb2b6fb7bde083db56feba53 | 12,436 | py | Python | test/test_cii.py | bepec/pydvbcss | 72bec02d42582416390ea0379dc6b79da8cd0721 | [
"Apache-2.0"
] | 22 | 2015-03-15T17:24:47.000Z | 2021-12-23T01:42:24.000Z | test/test_cii.py | bepec/pydvbcss | 72bec02d42582416390ea0379dc6b79da8cd0721 | [
"Apache-2.0"
] | 15 | 2016-02-21T20:05:03.000Z | 2021-01-11T12:19:18.000Z | test/test_cii.py | bepec/pydvbcss | 72bec02d42582416390ea0379dc6b79da8cd0721 | [
"Apache-2.0"
] | 6 | 2015-03-30T11:41:20.000Z | 2020-12-16T11:16:00.000Z | #!/usr/bin/env python
#
# Copyright 2015 British Broadcasting Corporation
#
# 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 _useDvbCssUninstalled # Enable to run when dvbcss not yet installed ... @UnusedImport
from dvbcss.protocol.cii import CII
from dvbcss.protocol.cii import TimelineOption
from dvbcss.protocol.transformers import OMIT
import json
class Test_CII(unittest.TestCase):
def test_create_empty(self):
c=CII()
self.assertEquals(OMIT, c.protocolVersion)
self.assertEquals(OMIT, c.contentId)
self.assertEquals(OMIT, c.contentIdStatus)
self.assertEquals(OMIT, c.presentationStatus)
self.assertEquals(OMIT, c.mrsUrl)
self.assertEquals(OMIT, c.wcUrl)
self.assertEquals(OMIT, c.tsUrl)
self.assertEquals(OMIT, c.teUrl)
self.assertEquals(OMIT, c.timelines)
self.assertEquals(OMIT, c.private)
def test_pack_empty_message(self):
c=CII()
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j,{})
def test_unpack_empty_message(self):
msg="{}"
c=CII.unpack(msg)
self.assertEquals(OMIT, c.protocolVersion)
self.assertEquals(OMIT, c.contentId)
self.assertEquals(OMIT, c.contentIdStatus)
self.assertEquals(OMIT, c.presentationStatus)
self.assertEquals(OMIT, c.mrsUrl)
self.assertEquals(OMIT, c.wcUrl)
self.assertEquals(OMIT, c.tsUrl)
self.assertEquals(OMIT, c.teUrl)
self.assertEquals(OMIT, c.timelines)
self.assertEquals(OMIT, c.private)
def test_unpack_ignore_unknown_fields(self):
msg="""{ "flurble" : 5 }"""
c=CII.unpack(msg)
self.assertEquals(OMIT, c.protocolVersion)
self.assertEquals(OMIT, c.contentId)
self.assertEquals(OMIT, c.contentIdStatus)
self.assertEquals(OMIT, c.presentationStatus)
self.assertEquals(OMIT, c.mrsUrl)
self.assertEquals(OMIT, c.wcUrl)
self.assertEquals(OMIT, c.tsUrl)
self.assertEquals(OMIT, c.teUrl)
self.assertEquals(OMIT, c.timelines)
self.assertEquals(OMIT, c.private)
def test_pack_unpack_protocolVersion(self):
c=CII(protocolVersion="1.1")
self.assertEquals(c.protocolVersion, "1.1")
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["protocolVersion"], "1.1")
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals("1.1", c.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_contentId(self):
VALUE="dvb://a.b.c.d"
c=CII(contentId=VALUE)
self.assertEquals(c.contentId, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["contentId"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(VALUE, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_contentIdStatus(self):
for VALUE in ["partial","final"]:
c=CII(contentIdStatus=VALUE)
self.assertEquals(c.contentIdStatus, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["contentIdStatus"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(VALUE, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_presentationStatus(self):
STATUSES=[
( ["okay"], "okay" ),
( ["transitioning"], "transitioning" ),
( ["fault"], "fault" ),
( ["other"], "other" ),
( ["okay", "sub"], "okay sub" ),
( ["transitioning", "sub1", "sub2"], "transitioning sub1 sub2" ),
]
for (VALUE, ENCODED) in STATUSES:
c=CII(presentationStatus=VALUE)
self.assertEquals(c.presentationStatus, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["presentationStatus"], ENCODED)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(VALUE, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_presentationStatus_not_a_string(self):
c=CII(presentationStatus="okay")
with self.assertRaises(ValueError):
c.pack()
def test_pack_unpack_mrsUrl(self):
VALUE="http://blah.com"
c=CII(mrsUrl=VALUE)
self.assertEquals(c.mrsUrl, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["mrsUrl"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(VALUE, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_wcUrl(self):
VALUE="udp://1.2.3.4:1234"
c=CII(wcUrl=VALUE)
self.assertEquals(c.wcUrl, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["wcUrl"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(VALUE, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_tsUrl(self):
VALUE="ws://1.2.3.4:5678/blah/"
c=CII(tsUrl=VALUE)
self.assertEquals(c.tsUrl, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["tsUrl"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(VALUE, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_teUrl(self):
VALUE="ws://1.2.3.4:5678/seilgr"
c=CII(teUrl=VALUE)
self.assertEquals(c.teUrl, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["teUrl"], VALUE)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(VALUE, d.teUrl)
self.assertEquals(OMIT, d.timelines)
self.assertEquals(OMIT, d.private)
def test_pack_unpack_timelines(self):
TIMELINES=[
( [], [] ),
( [ TimelineOption("urn:dvb:css:timeline:pts", 1, 1000, 0.2, OMIT) ],
[ { "timelineSelector" : "urn:dvb:css:timeline:pts",
"timelineProperties" : {
"unitsPerTick" : 1,
"unitsPerSecond" : 1000,
"accuracy" : 0.2
}
}
]
),
( [ TimelineOption("urn:dvb:css:timeline:pts", 1, 1000, 0.2, OMIT),
TimelineOption("urn:dvb:css:timeline:temi:1:5", 1001, 30000, OMIT, []),
TimelineOption("urn:dvb:css:timeline:temi:1:6", 1, 25, OMIT, [{'type':'blah','abc':5},{'type':'bbc','pqr':None}]),
],
[ { "timelineSelector" : "urn:dvb:css:timeline:pts",
"timelineProperties" : {
"unitsPerTick" : 1,
"unitsPerSecond" : 1000,
"accuracy" : 0.2
}
},
{ "timelineSelector" : "urn:dvb:css:timeline:temi:1:5",
"timelineProperties" : {
"unitsPerTick" : 1001,
"unitsPerSecond" : 30000
},
"private" : []
},
{ "timelineSelector" : "urn:dvb:css:timeline:temi:1:6",
"timelineProperties" : {
"unitsPerTick" : 1,
"unitsPerSecond" : 25,
},
"private" : [{'type':'blah','abc':5},{'type':'bbc','pqr':None}]
}
]
),
]
for (VALUE, ENCODED) in TIMELINES:
c=CII(timelines=VALUE)
self.assertEquals(c.timelines, VALUE)
msg=c.pack()
j=json.loads(msg)
self.assertEquals(j["timelines"], ENCODED)
self.assertEquals(len(j.keys()), 1)
d=CII.unpack(msg)
self.assertEquals(OMIT, d.protocolVersion)
self.assertEquals(OMIT, d.contentId)
self.assertEquals(OMIT, d.contentIdStatus)
self.assertEquals(OMIT, d.presentationStatus)
self.assertEquals(OMIT, d.mrsUrl)
self.assertEquals(OMIT, d.wcUrl)
self.assertEquals(OMIT, d.tsUrl)
self.assertEquals(OMIT, d.teUrl)
self.assertEquals(VALUE, d.timelines)
self.assertEquals(OMIT, d.private)
if __name__ == "__main__":
#import sys;sys.argv = ['', 'Test.testName']
unittest.main()
| 37.233533 | 130 | 0.58017 | 1,333 | 12,436 | 5.372093 | 0.128282 | 0.33068 | 0.310013 | 0.237537 | 0.731602 | 0.716101 | 0.716101 | 0.699623 | 0.676442 | 0.676442 | 0 | 0.013268 | 0.29696 | 12,436 | 333 | 131 | 37.345345 | 0.805787 | 0.056127 | 0 | 0.613139 | 0 | 0 | 0.074396 | 0.022097 | 0 | 0 | 0 | 0 | 0.543796 | 1 | 0.051095 | false | 0 | 0.021898 | 0 | 0.076642 | 0 | 0 | 0 | 0 | null | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bf4a453b867ccfa9b993bfae82a8a7628c418600 | 1,233 | py | Python | aaaaaaaaaaaaaaaaaaaaaaaaaaaaa.py | miemie2013/ppgan | 48008d85ec6c5fa2e1469acf8507b2614fa550cc | [
"Apache-2.0"
] | null | null | null | aaaaaaaaaaaaaaaaaaaaaaaaaaaaa.py | miemie2013/ppgan | 48008d85ec6c5fa2e1469acf8507b2614fa550cc | [
"Apache-2.0"
] | null | null | null | aaaaaaaaaaaaaaaaaaaaaaaaaaaaa.py | miemie2013/ppgan | 48008d85ec6c5fa2e1469acf8507b2614fa550cc | [
"Apache-2.0"
] | 1 | 2022-01-19T03:01:13.000Z | 2022-01-19T03:01:13.000Z |
import torch
import numpy as np
ckpt_file = 'D_00.pth'
state_dict = torch.load(ckpt_file, map_location=torch.device('cpu'))
model_dic1 = {}
for key, value in state_dict.items():
model_dic1[key] = value.data.numpy()
ckpt_file = 'D_19.pth'
state_dict = torch.load(ckpt_file, map_location=torch.device('cpu'))
model_dic2 = {}
for key, value in state_dict.items():
model_dic2[key] = value.data.numpy()
for key, value in model_dic1.items():
value2 = model_dic2[key]
ddd = np.sum((value - value2) ** 2)
if ddd > 110.00001:
print()
print('ddd=%.6f' % ddd)
print('==============================================')
print()
ckpt_file = 'G_00.pth'
state_dict = torch.load(ckpt_file, map_location=torch.device('cpu'))
model_dic1 = {}
for key, value in state_dict.items():
model_dic1[key] = value.data.numpy()
ckpt_file = 'G_19.pth'
state_dict = torch.load(ckpt_file, map_location=torch.device('cpu'))
model_dic2 = {}
for key, value in state_dict.items():
model_dic2[key] = value.data.numpy()
for key, value in model_dic1.items():
value2 = model_dic2[key]
ddd = np.sum((value - value2) ** 2)
if ddd > 0.00001:
print()
print('ddd=%.6f' % ddd)
print()
| 17.366197 | 68 | 0.628548 | 185 | 1,233 | 3.994595 | 0.205405 | 0.108254 | 0.08931 | 0.105548 | 0.925575 | 0.925575 | 0.925575 | 0.849797 | 0.849797 | 0.849797 | 0 | 0.041625 | 0.181671 | 1,233 | 70 | 69 | 17.614286 | 0.690783 | 0 | 0 | 0.756757 | 0 | 0 | 0.086743 | 0.037643 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054054 | 0 | 0.054054 | 0.189189 | 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 |
bfa2059168ae8eea3df225d37903fa106d886b15 | 13,870 | py | Python | dataset/global_sampler.py | Jeff-Zilence/TransGeo2022 | f6e652237a29bad1167699905398042af86a0b0a | [
"MIT"
] | 1 | 2022-03-22T23:03:04.000Z | 2022-03-22T23:03:04.000Z | dataset/global_sampler.py | Jeff-Zilence/TransGeo2022 | f6e652237a29bad1167699905398042af86a0b0a | [
"MIT"
] | null | null | null | dataset/global_sampler.py | Jeff-Zilence/TransGeo2022 | f6e652237a29bad1167699905398042af86a0b0a | [
"MIT"
] | null | null | null | import math
from typing import TypeVar, Optional, Iterator
import os
import torch
from torch.utils.data.distributed import DistributedSampler
from torch.utils.data.dataset import Dataset
import torch.distributed as dist
import numpy as np
import random
T_co = TypeVar('T_co', covariant=True)
# This sampler is implemented for multi-GPU training, modified from the DistributedSampler of pytorch.
# The strategy follows VIGOR
class DistributedMiningSampler(DistributedSampler[T_co]):
def __init__(self, dataset: Dataset, num_replicas: Optional[int] = None,
rank: Optional[int] = None, shuffle: bool = False,
seed: int = 0, drop_last: bool = False, batch_size: int = 128, mode = 'similarity', dim=1000, save_path = None) -> None:
super(DistributedMiningSampler, self).__init__(dataset, num_replicas, rank, shuffle, seed, drop_last)
self.dim = dim
self.batch_size = batch_size * self.num_replicas
self.queue_length = len(self.dataset)
self.current_size = len(self.dataset) // self.batch_size * self.batch_size
self.current_indices = np.arange(self.current_size)
self.queue_size = 1 # for computing moving average, not used in this implementation
self.queue = np.zeros([self.queue_length, self.queue_size, self.dim, 2])
self.queue_ptr = 0
self.queue_counter = np.zeros(self.queue_length,dtype=np.int)
self.save_path = save_path
self.mining_start = 1
self.mining_pool_size = min(40000, self.queue_length)
self.mining_save_size = 100
self.choice_pool = range(self.mining_save_size)
self.mining_save = np.zeros([self.queue_length, self.mining_save_size],dtype=int)
self.mode = mode
def update(self, data_sat, data_grd, indexes):
data_sat_norm = data_sat / np.linalg.norm(data_sat, axis=1, keepdims=True)
data_grd_norm = data_grd / np.linalg.norm(data_grd, axis=1, keepdims=True)
batch_size = data_sat.shape[0]
# writing in distributed training style, complicated. Update the queue according to the previous index.
for j in range(self.num_replicas):
index_j = self.indices_out[j:self.current_size:self.num_replicas]
for i in range(batch_size // self.num_replicas):
index = index_j[self.queue_ptr + i]
assert index == indexes[i + j * (batch_size // self.num_replicas)]
self.queue[index, self.queue_counter[index] % self.queue_size, :, 0] = \
data_sat_norm[i + j * (batch_size // self.num_replicas)]
self.queue[index, self.queue_counter[index] % self.queue_size, :, 1] = \
data_grd_norm[i + j * (batch_size // self.num_replicas)]
self.queue_counter[index] += 1
self.queue_ptr = (self.queue_ptr + batch_size // self.num_replicas)
def generate_indices_sim(self):
self.queue_ptr = 0
random.seed(7 + self.epoch)
self.current_indices = np.arange(self.current_size)
random.shuffle(self.current_indices)
if self.epoch >= self.mining_start:
assert self.mining_pool_size <= self.queue_length
mining_pool = np.array(random.sample(range(self.queue_length), self.mining_pool_size),dtype=int)
product_train = np.matmul(self.queue[:,:,:,1].mean(axis=1), np.transpose(self.queue[mining_pool,:,:,0].mean(axis=1)))
product_index = np.argsort(product_train, axis=1)
ranking = np.zeros(product_train.shape[0])
# update mining pool
for i in range(product_train.shape[0]):
ranking[i] = product_train.shape[1] - 1 - np.where(mining_pool[product_index[i]] == i)[0]
self.mining_save[i, :] = mining_pool[product_index[i, -self.mining_save_size:]]
# randomly sample first half
ori_list = self.current_indices[:self.current_size//2]
self.current_indices = []
# global hard mining for the other half
for i in range(self.current_size//self.batch_size):
index_s = i * (self.batch_size//2)
index_e = index_s + min(self.batch_size//2, self.current_size//2 - index_s)
self.current_indices.extend(ori_list[index_s:index_e])
hard_list = []
for j in range(index_s, index_e):
idx = random.choice(self.mining_save[ori_list[j]])
# random sampling until no overlap in the batch
while idx in ori_list[index_s:index_e] or idx in hard_list:
idx = random.choice(self.mining_save[ori_list[j]])
hard_list.append(idx)
self.current_indices.extend(hard_list)
self.current_indices = np.array(self.current_indices, dtype=int)
assert len(self.current_indices) == self.current_size
print('sampler updated!')
def update_epoch(self):
self.generate_indices_sim()
if self.rank == 0:
np.save(os.path.join(self.save_path,'queue.npy'), self.queue)
np.save(os.path.join(self.save_path,'queue_counter.npy'), self.queue_counter)
def load(self, path):
self.queue_counter = np.load(os.path.join(path,'queue_counter.npy'))
self.queue = np.load(os.path.join(path,'queue.npy'))
def __iter__(self) -> Iterator[T_co]:
if self.shuffle:
# deterministically shuffle based on epoch and seed
g = torch.Generator()
g.manual_seed(self.seed + self.epoch)
indices = torch.randperm(len(self.current_indices), generator=g).tolist() # type: ignore
else:
indices = list(range(len(self.current_indices))) # type: ignore
if not self.drop_last:
# add extra samples to make it evenly divisible
padding_size = self.current_size - len(indices)
if padding_size <= len(indices):
indices += indices[:padding_size]
else:
indices += (indices * math.ceil(padding_size / len(indices)))[:padding_size]
else:
# remove tail of data to make it evenly divisible.
indices = indices[:self.current_size]
assert len(indices) == self.current_size
# subsample
self.indices_out = self.current_indices[indices].tolist()
indices = indices[self.rank:self.current_size:self.num_replicas]
# assert len(indices) == self.num_samples
# print(indices)
indices_out = self.current_indices[indices].tolist()
# print(self.rank, len(indices), len(indices_out))
return iter(indices_out)
class DistributedMiningSamplerVigor(DistributedSampler[T_co]):
def __init__(self, dataset: Dataset, num_replicas: Optional[int] = None,
rank: Optional[int] = None, shuffle: bool = False,
seed: int = 0, drop_last: bool = False, batch_size: int = 128, mode = 'similarity', dim=1000, save_path=None) -> None:
super(DistributedMiningSamplerVigor, self).__init__(dataset, num_replicas, rank, shuffle, seed, drop_last)
self.dim = dim
self.batch_size = batch_size * self.num_replicas
self.queue_length = max(dataset.train_data_size, len(dataset.train_sat_cover_list))
self.current_size = len(self.dataset) // self.batch_size * self.batch_size
self.current_indices = np.arange(self.current_size)
self.queue_size = 1 # for computing moving average, not used in this implementation
self.queue = np.zeros([self.queue_length, self.queue_size, self.dim, 2])
self.queue_ptr = 0
self.queue_counter = np.zeros(self.queue_length,dtype=np.int)
self.save_path = save_path
self.mining_start = 1
self.mining_pool_size = min(40000, len(dataset.train_sat_cover_list))
self.mining_save_size = 100
self.choice_pool = range(self.mining_save_size)
self.mining_save = np.zeros([self.queue_length, self.mining_save_size],dtype=int)
self.mode = mode
# raise Exception
def update(self, data_sat, data_grd, indexes):
data_sat_norm = data_sat / np.linalg.norm(data_sat, axis=1, keepdims=True)
data_grd_norm = data_grd / np.linalg.norm(data_grd, axis=1, keepdims=True)
batch_size = data_sat.shape[0]
# writing in distributed training style, complicated. Update the queue according to the previous index.
for j in range(self.num_replicas):
index_j = self.indices_out[j:self.current_size:self.num_replicas]
for i in range(batch_size // self.num_replicas):
index = index_j[self.queue_ptr + i] %len(self.dataset.train_sat_cover_list)
assert indexes[i + j * (batch_size // self.num_replicas)] in self.dataset.train_sat_cover_dict[self.dataset.train_sat_cover_list[index]]
self.queue[index, self.queue_counter[index] % self.queue_size, :, 0] = \
data_sat_norm[i + j * (batch_size // self.num_replicas)]
self.queue[indexes[i + j * (batch_size // self.num_replicas)], self.queue_counter[index] % self.queue_size, :, 1] = \
data_grd_norm[i + j * (batch_size // self.num_replicas)]
self.queue_counter[index] += 1
self.queue_ptr = (self.queue_ptr + batch_size // self.num_replicas)
def generate_indices_sim(self):
self.queue_ptr = 0
random.seed(7 + self.epoch)
self.current_indices = np.arange(self.current_size) %len(self.dataset.train_sat_cover_list)
random.shuffle(self.current_indices)
if self.epoch >= self.mining_start:
assert self.mining_pool_size <= self.queue_length
mining_pool = np.array(random.sample(range(len(self.dataset.train_sat_cover_list)), self.mining_pool_size),dtype=int)
product_train = np.matmul(self.queue[:,:,:,1].mean(axis=1), np.transpose(self.queue[mining_pool,:,:,0].mean(axis=1)))
product_index = np.argsort(product_train, axis=1)
# update mining pool
for i in range(product_train.shape[0]):
self.mining_save[i, :] = mining_pool[product_index[i, -self.mining_save_size:]]
# randomly sample the first half
ori_list = self.current_indices[:self.current_size//2]
self.current_indices = []
# global hard mining for the other half
for i in range(self.current_size//self.batch_size):
index_s = i * (self.batch_size//2)
index_e = index_s + min(self.batch_size//2, self.current_size//2 - index_s)
self.current_indices.extend(ori_list[index_s:index_e])
hard_list = []
for j in range(index_s, index_e):
grd_id = random.choice(self.dataset.train_sat_cover_dict[self.dataset.train_sat_cover_list[ori_list[j]]])
idx = int(random.choice(self.mining_save[grd_id]))
# keep random sampling until there is no overlap in the batch, hard coded as VIGOR is complicated
while True:
flag = False
for grd_idx in self.dataset.train_sat_cover_dict[self.dataset.train_sat_cover_list[idx]]:
if not self.dataset.check_overlap(ori_list[index_s:index_e],
grd_idx) or not self.dataset.check_overlap(hard_list, grd_idx):
flag = True
if flag:
idx = random.choice(self.mining_save[grd_id])
else:
break
hard_list.append(idx)
self.current_indices.extend(hard_list)
self.current_indices = np.array(self.current_indices, dtype=int)
assert len(self.current_indices) == self.current_size
print('sampler updated!')
def update_epoch(self):
# if self.epoch >= self.mining_start:
self.generate_indices_sim()
if self.rank == 0:
np.save(os.path.join(self.save_path, 'queue.npy'), self.queue)
np.save(os.path.join(self.save_path, 'queue_counter.npy'), self.queue_counter)
def load(self, path):
self.mining_start = 0
self.queue_counter = np.load(os.path.join(path, 'queue_counter.npy'))
self.queue = np.load(os.path.join(path, 'queue.npy'))
def __iter__(self) -> Iterator[T_co]:
if self.shuffle:
# deterministically shuffle based on epoch and seed
g = torch.Generator()
g.manual_seed(self.seed + self.epoch)
indices = torch.randperm(len(self.current_indices), generator=g).tolist() # type: ignore
else:
indices = list(range(len(self.current_indices))) # type: ignore
if not self.drop_last:
# add extra samples to make it evenly divisible
padding_size = self.current_size - len(indices)
if padding_size <= len(indices):
indices += indices[:padding_size]
else:
indices += (indices * math.ceil(padding_size / len(indices)))[:padding_size]
else:
# remove tail of data to make it evenly divisible.
indices = indices[:self.current_size]
assert len(indices) == self.current_size
# subsample
self.indices_out = self.current_indices[indices].tolist()
indices = indices[self.rank:self.current_size:self.num_replicas]
# assert len(indices) == self.num_samples
# print(indices)
indices_out = self.current_indices[indices].tolist()
# print(self.rank, len(indices), len(indices_out))
return iter(indices_out) | 52.938931 | 152 | 0.630281 | 1,835 | 13,870 | 4.541689 | 0.103542 | 0.060475 | 0.060475 | 0.038757 | 0.901248 | 0.885049 | 0.87701 | 0.850132 | 0.846172 | 0.837293 | 0 | 0.008119 | 0.262942 | 13,870 | 262 | 153 | 52.938931 | 0.807102 | 0.100288 | 0 | 0.796117 | 0 | 0 | 0.012857 | 0 | 0 | 0 | 0 | 0 | 0.038835 | 1 | 0.058252 | false | 0 | 0.043689 | 0 | 0.121359 | 0.009709 | 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 |
bfa2bfed4f8d0c2fbaf2d3a4d2cff7c849d0f626 | 30 | py | Python | tests/t41.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | 3 | 2019-08-21T22:01:35.000Z | 2021-07-25T00:21:28.000Z | tests/t41.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | null | null | null | tests/t41.py | jplevyak/pyc | 9f4bc49be78ba29427841460945ce63826fcd857 | [
"BSD-3-Clause"
] | null | null | null | x = [1] + [2,3,4,5,6]
print x
| 10 | 21 | 0.433333 | 9 | 30 | 1.444444 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 0.233333 | 30 | 2 | 22 | 15 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.5 | 1 | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
44a58d1217417e349e3a1a158b8541d56f8debff | 28 | py | Python | test.py | LeisureGuardian/LG-API | 103137d4ce1f71e5d9beaf96cbd0fc47fcd575c2 | [
"MIT"
] | null | null | null | test.py | LeisureGuardian/LG-API | 103137d4ce1f71e5d9beaf96cbd0fc47fcd575c2 | [
"MIT"
] | null | null | null | test.py | LeisureGuardian/LG-API | 103137d4ce1f71e5d9beaf96cbd0fc47fcd575c2 | [
"MIT"
] | null | null | null | print(134.39457 == 134.395)
| 14 | 27 | 0.678571 | 5 | 28 | 3.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.56 | 0.107143 | 28 | 1 | 28 | 28 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
44b1b5224c415296885b3ec22539f82a9b000ea3 | 37,627 | py | Python | sdk/python/pulumi_gcp/compute/target_https_proxy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/compute/target_https_proxy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/compute/target_https_proxy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # 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__ = ['TargetHttpsProxyArgs', 'TargetHttpsProxy']
@pulumi.input_type
class TargetHttpsProxyArgs:
def __init__(__self__, *,
ssl_certificates: pulumi.Input[Sequence[pulumi.Input[str]]],
url_map: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
proxy_bind: Optional[pulumi.Input[bool]] = None,
quic_override: Optional[pulumi.Input[str]] = None,
ssl_policy: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a TargetHttpsProxy resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] ssl_certificates: A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
:param pulumi.Input[str] url_map: A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
:param pulumi.Input[str] description: An optional description of this resource.
:param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
:param pulumi.Input[str] project: The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
:param pulumi.Input[bool] proxy_bind: This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
:param pulumi.Input[str] quic_override: Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
:param pulumi.Input[str] ssl_policy: A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
"""
pulumi.set(__self__, "ssl_certificates", ssl_certificates)
pulumi.set(__self__, "url_map", url_map)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if project is not None:
pulumi.set(__self__, "project", project)
if proxy_bind is not None:
pulumi.set(__self__, "proxy_bind", proxy_bind)
if quic_override is not None:
pulumi.set(__self__, "quic_override", quic_override)
if ssl_policy is not None:
pulumi.set(__self__, "ssl_policy", ssl_policy)
@property
@pulumi.getter(name="sslCertificates")
def ssl_certificates(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
"""
return pulumi.get(self, "ssl_certificates")
@ssl_certificates.setter
def ssl_certificates(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "ssl_certificates", value)
@property
@pulumi.getter(name="urlMap")
def url_map(self) -> pulumi.Input[str]:
"""
A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
return pulumi.get(self, "url_map")
@url_map.setter
def url_map(self, value: pulumi.Input[str]):
pulumi.set(self, "url_map", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of this resource.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def project(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
"""
return pulumi.get(self, "project")
@project.setter
def project(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project", value)
@property
@pulumi.getter(name="proxyBind")
def proxy_bind(self) -> Optional[pulumi.Input[bool]]:
"""
This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
"""
return pulumi.get(self, "proxy_bind")
@proxy_bind.setter
def proxy_bind(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "proxy_bind", value)
@property
@pulumi.getter(name="quicOverride")
def quic_override(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
"""
return pulumi.get(self, "quic_override")
@quic_override.setter
def quic_override(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "quic_override", value)
@property
@pulumi.getter(name="sslPolicy")
def ssl_policy(self) -> Optional[pulumi.Input[str]]:
"""
A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
"""
return pulumi.get(self, "ssl_policy")
@ssl_policy.setter
def ssl_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ssl_policy", value)
@pulumi.input_type
class _TargetHttpsProxyState:
def __init__(__self__, *,
creation_timestamp: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
proxy_bind: Optional[pulumi.Input[bool]] = None,
proxy_id: Optional[pulumi.Input[int]] = None,
quic_override: Optional[pulumi.Input[str]] = None,
self_link: Optional[pulumi.Input[str]] = None,
ssl_certificates: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ssl_policy: Optional[pulumi.Input[str]] = None,
url_map: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering TargetHttpsProxy resources.
:param pulumi.Input[str] creation_timestamp: Creation timestamp in RFC3339 text format.
:param pulumi.Input[str] description: An optional description of this resource.
:param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
:param pulumi.Input[str] project: The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
:param pulumi.Input[bool] proxy_bind: This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
:param pulumi.Input[int] proxy_id: The unique identifier for the resource.
:param pulumi.Input[str] quic_override: Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
:param pulumi.Input[str] self_link: The URI of the created resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] ssl_certificates: A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
:param pulumi.Input[str] ssl_policy: A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
:param pulumi.Input[str] url_map: A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
if creation_timestamp is not None:
pulumi.set(__self__, "creation_timestamp", creation_timestamp)
if description is not None:
pulumi.set(__self__, "description", description)
if name is not None:
pulumi.set(__self__, "name", name)
if project is not None:
pulumi.set(__self__, "project", project)
if proxy_bind is not None:
pulumi.set(__self__, "proxy_bind", proxy_bind)
if proxy_id is not None:
pulumi.set(__self__, "proxy_id", proxy_id)
if quic_override is not None:
pulumi.set(__self__, "quic_override", quic_override)
if self_link is not None:
pulumi.set(__self__, "self_link", self_link)
if ssl_certificates is not None:
pulumi.set(__self__, "ssl_certificates", ssl_certificates)
if ssl_policy is not None:
pulumi.set(__self__, "ssl_policy", ssl_policy)
if url_map is not None:
pulumi.set(__self__, "url_map", url_map)
@property
@pulumi.getter(name="creationTimestamp")
def creation_timestamp(self) -> Optional[pulumi.Input[str]]:
"""
Creation timestamp in RFC3339 text format.
"""
return pulumi.get(self, "creation_timestamp")
@creation_timestamp.setter
def creation_timestamp(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "creation_timestamp", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of this resource.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def project(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
"""
return pulumi.get(self, "project")
@project.setter
def project(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "project", value)
@property
@pulumi.getter(name="proxyBind")
def proxy_bind(self) -> Optional[pulumi.Input[bool]]:
"""
This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
"""
return pulumi.get(self, "proxy_bind")
@proxy_bind.setter
def proxy_bind(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "proxy_bind", value)
@property
@pulumi.getter(name="proxyId")
def proxy_id(self) -> Optional[pulumi.Input[int]]:
"""
The unique identifier for the resource.
"""
return pulumi.get(self, "proxy_id")
@proxy_id.setter
def proxy_id(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "proxy_id", value)
@property
@pulumi.getter(name="quicOverride")
def quic_override(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
"""
return pulumi.get(self, "quic_override")
@quic_override.setter
def quic_override(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "quic_override", value)
@property
@pulumi.getter(name="selfLink")
def self_link(self) -> Optional[pulumi.Input[str]]:
"""
The URI of the created resource.
"""
return pulumi.get(self, "self_link")
@self_link.setter
def self_link(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "self_link", value)
@property
@pulumi.getter(name="sslCertificates")
def ssl_certificates(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
"""
return pulumi.get(self, "ssl_certificates")
@ssl_certificates.setter
def ssl_certificates(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "ssl_certificates", value)
@property
@pulumi.getter(name="sslPolicy")
def ssl_policy(self) -> Optional[pulumi.Input[str]]:
"""
A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
"""
return pulumi.get(self, "ssl_policy")
@ssl_policy.setter
def ssl_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ssl_policy", value)
@property
@pulumi.getter(name="urlMap")
def url_map(self) -> Optional[pulumi.Input[str]]:
"""
A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
return pulumi.get(self, "url_map")
@url_map.setter
def url_map(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url_map", value)
class TargetHttpsProxy(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
proxy_bind: Optional[pulumi.Input[bool]] = None,
quic_override: Optional[pulumi.Input[str]] = None,
ssl_certificates: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ssl_policy: Optional[pulumi.Input[str]] = None,
url_map: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Represents a TargetHttpsProxy resource, which is used by one or more
global forwarding rule to route incoming HTTPS requests to a URL map.
To get more information about TargetHttpsProxy, see:
* [API documentation](https://cloud.google.com/compute/docs/reference/v1/targetHttpsProxies)
* How-to Guides
* [Official Documentation](https://cloud.google.com/compute/docs/load-balancing/http/target-proxies)
## Example Usage
### Target Https Proxy Basic
```python
import pulumi
import pulumi_gcp as gcp
default_ssl_certificate = gcp.compute.SSLCertificate("defaultSSLCertificate",
private_key=(lambda path: open(path).read())("path/to/private.key"),
certificate=(lambda path: open(path).read())("path/to/certificate.crt"))
default_http_health_check = gcp.compute.HttpHealthCheck("defaultHttpHealthCheck",
request_path="/",
check_interval_sec=1,
timeout_sec=1)
default_backend_service = gcp.compute.BackendService("defaultBackendService",
port_name="http",
protocol="HTTP",
timeout_sec=10,
health_checks=[default_http_health_check.id])
default_url_map = gcp.compute.URLMap("defaultURLMap",
description="a description",
default_service=default_backend_service.id,
host_rules=[gcp.compute.URLMapHostRuleArgs(
hosts=["mysite.com"],
path_matcher="allpaths",
)],
path_matchers=[gcp.compute.URLMapPathMatcherArgs(
name="allpaths",
default_service=default_backend_service.id,
path_rules=[gcp.compute.URLMapPathMatcherPathRuleArgs(
paths=["/*"],
service=default_backend_service.id,
)],
)])
default_target_https_proxy = gcp.compute.TargetHttpsProxy("defaultTargetHttpsProxy",
url_map=default_url_map.id,
ssl_certificates=[default_ssl_certificate.id])
```
## Import
TargetHttpsProxy can be imported using any of these accepted formats
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default projects/{{project}}/global/targetHttpsProxies/{{name}}
```
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default {{project}}/{{name}}
```
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default {{name}}
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: An optional description of this resource.
:param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
:param pulumi.Input[str] project: The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
:param pulumi.Input[bool] proxy_bind: This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
:param pulumi.Input[str] quic_override: Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] ssl_certificates: A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
:param pulumi.Input[str] ssl_policy: A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
:param pulumi.Input[str] url_map: A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: TargetHttpsProxyArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Represents a TargetHttpsProxy resource, which is used by one or more
global forwarding rule to route incoming HTTPS requests to a URL map.
To get more information about TargetHttpsProxy, see:
* [API documentation](https://cloud.google.com/compute/docs/reference/v1/targetHttpsProxies)
* How-to Guides
* [Official Documentation](https://cloud.google.com/compute/docs/load-balancing/http/target-proxies)
## Example Usage
### Target Https Proxy Basic
```python
import pulumi
import pulumi_gcp as gcp
default_ssl_certificate = gcp.compute.SSLCertificate("defaultSSLCertificate",
private_key=(lambda path: open(path).read())("path/to/private.key"),
certificate=(lambda path: open(path).read())("path/to/certificate.crt"))
default_http_health_check = gcp.compute.HttpHealthCheck("defaultHttpHealthCheck",
request_path="/",
check_interval_sec=1,
timeout_sec=1)
default_backend_service = gcp.compute.BackendService("defaultBackendService",
port_name="http",
protocol="HTTP",
timeout_sec=10,
health_checks=[default_http_health_check.id])
default_url_map = gcp.compute.URLMap("defaultURLMap",
description="a description",
default_service=default_backend_service.id,
host_rules=[gcp.compute.URLMapHostRuleArgs(
hosts=["mysite.com"],
path_matcher="allpaths",
)],
path_matchers=[gcp.compute.URLMapPathMatcherArgs(
name="allpaths",
default_service=default_backend_service.id,
path_rules=[gcp.compute.URLMapPathMatcherPathRuleArgs(
paths=["/*"],
service=default_backend_service.id,
)],
)])
default_target_https_proxy = gcp.compute.TargetHttpsProxy("defaultTargetHttpsProxy",
url_map=default_url_map.id,
ssl_certificates=[default_ssl_certificate.id])
```
## Import
TargetHttpsProxy can be imported using any of these accepted formats
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default projects/{{project}}/global/targetHttpsProxies/{{name}}
```
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default {{project}}/{{name}}
```
```sh
$ pulumi import gcp:compute/targetHttpsProxy:TargetHttpsProxy default {{name}}
```
:param str resource_name: The name of the resource.
:param TargetHttpsProxyArgs 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(TargetHttpsProxyArgs, 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,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
proxy_bind: Optional[pulumi.Input[bool]] = None,
quic_override: Optional[pulumi.Input[str]] = None,
ssl_certificates: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ssl_policy: Optional[pulumi.Input[str]] = None,
url_map: 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__ = TargetHttpsProxyArgs.__new__(TargetHttpsProxyArgs)
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["project"] = project
__props__.__dict__["proxy_bind"] = proxy_bind
__props__.__dict__["quic_override"] = quic_override
if ssl_certificates is None and not opts.urn:
raise TypeError("Missing required property 'ssl_certificates'")
__props__.__dict__["ssl_certificates"] = ssl_certificates
__props__.__dict__["ssl_policy"] = ssl_policy
if url_map is None and not opts.urn:
raise TypeError("Missing required property 'url_map'")
__props__.__dict__["url_map"] = url_map
__props__.__dict__["creation_timestamp"] = None
__props__.__dict__["proxy_id"] = None
__props__.__dict__["self_link"] = None
super(TargetHttpsProxy, __self__).__init__(
'gcp:compute/targetHttpsProxy:TargetHttpsProxy',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
creation_timestamp: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
project: Optional[pulumi.Input[str]] = None,
proxy_bind: Optional[pulumi.Input[bool]] = None,
proxy_id: Optional[pulumi.Input[int]] = None,
quic_override: Optional[pulumi.Input[str]] = None,
self_link: Optional[pulumi.Input[str]] = None,
ssl_certificates: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
ssl_policy: Optional[pulumi.Input[str]] = None,
url_map: Optional[pulumi.Input[str]] = None) -> 'TargetHttpsProxy':
"""
Get an existing TargetHttpsProxy 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[str] creation_timestamp: Creation timestamp in RFC3339 text format.
:param pulumi.Input[str] description: An optional description of this resource.
:param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
:param pulumi.Input[str] project: The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
:param pulumi.Input[bool] proxy_bind: This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
:param pulumi.Input[int] proxy_id: The unique identifier for the resource.
:param pulumi.Input[str] quic_override: Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
:param pulumi.Input[str] self_link: The URI of the created resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] ssl_certificates: A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
:param pulumi.Input[str] ssl_policy: A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
:param pulumi.Input[str] url_map: A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _TargetHttpsProxyState.__new__(_TargetHttpsProxyState)
__props__.__dict__["creation_timestamp"] = creation_timestamp
__props__.__dict__["description"] = description
__props__.__dict__["name"] = name
__props__.__dict__["project"] = project
__props__.__dict__["proxy_bind"] = proxy_bind
__props__.__dict__["proxy_id"] = proxy_id
__props__.__dict__["quic_override"] = quic_override
__props__.__dict__["self_link"] = self_link
__props__.__dict__["ssl_certificates"] = ssl_certificates
__props__.__dict__["ssl_policy"] = ssl_policy
__props__.__dict__["url_map"] = url_map
return TargetHttpsProxy(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="creationTimestamp")
def creation_timestamp(self) -> pulumi.Output[str]:
"""
Creation timestamp in RFC3339 text format.
"""
return pulumi.get(self, "creation_timestamp")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
An optional description of this resource.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the resource. Provided by the client when the resource is
created. The name must be 1-63 characters long, and comply with
RFC1035. Specifically, the name must be 1-63 characters long and match
the regular expression `a-z?` which means the
first character must be a lowercase letter, and all following
characters must be a dash, lowercase letter, or digit, except the last
character, which cannot be a dash.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def project(self) -> pulumi.Output[str]:
"""
The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
"""
return pulumi.get(self, "project")
@property
@pulumi.getter(name="proxyBind")
def proxy_bind(self) -> pulumi.Output[bool]:
"""
This field only applies when the forwarding rule that references
this target proxy has a loadBalancingScheme set to INTERNAL_SELF_MANAGED.
"""
return pulumi.get(self, "proxy_bind")
@property
@pulumi.getter(name="proxyId")
def proxy_id(self) -> pulumi.Output[int]:
"""
The unique identifier for the resource.
"""
return pulumi.get(self, "proxy_id")
@property
@pulumi.getter(name="quicOverride")
def quic_override(self) -> pulumi.Output[Optional[str]]:
"""
Specifies the QUIC override policy for this resource. This determines
whether the load balancer will attempt to negotiate QUIC with clients
or not. Can specify one of NONE, ENABLE, or DISABLE. If NONE is
specified, uses the QUIC policy with no user overrides, which is
equivalent to DISABLE.
Default value is `NONE`.
Possible values are `NONE`, `ENABLE`, and `DISABLE`.
"""
return pulumi.get(self, "quic_override")
@property
@pulumi.getter(name="selfLink")
def self_link(self) -> pulumi.Output[str]:
"""
The URI of the created resource.
"""
return pulumi.get(self, "self_link")
@property
@pulumi.getter(name="sslCertificates")
def ssl_certificates(self) -> pulumi.Output[Sequence[str]]:
"""
A list of SslCertificate resources that are used to authenticate
connections between users and the load balancer. At least one SSL
certificate must be specified.
"""
return pulumi.get(self, "ssl_certificates")
@property
@pulumi.getter(name="sslPolicy")
def ssl_policy(self) -> pulumi.Output[Optional[str]]:
"""
A reference to the SslPolicy resource that will be associated with
the TargetHttpsProxy resource. If not set, the TargetHttpsProxy
resource will not have any SSL policy configured.
"""
return pulumi.get(self, "ssl_policy")
@property
@pulumi.getter(name="urlMap")
def url_map(self) -> pulumi.Output[str]:
"""
A reference to the UrlMap resource that defines the mapping from URL
to the BackendService.
"""
return pulumi.get(self, "url_map")
| 45.886585 | 139 | 0.643554 | 4,456 | 37,627 | 5.276481 | 0.067998 | 0.065031 | 0.062521 | 0.055206 | 0.912385 | 0.894012 | 0.879126 | 0.86777 | 0.864835 | 0.836977 | 0 | 0.003527 | 0.268982 | 37,627 | 819 | 140 | 45.942613 | 0.851269 | 0.490286 | 0 | 0.72807 | 1 | 0 | 0.090819 | 0.002795 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163743 | false | 0.002924 | 0.01462 | 0 | 0.277778 | 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 |
78225f57af8a4a73caf486c4d8a34af27fcbf919 | 1,383 | py | Python | Server/tests/__init__.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 27 | 2018-01-14T08:07:18.000Z | 2020-01-20T14:21:17.000Z | Server/tests/__init__.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 50 | 2018-02-12T12:51:33.000Z | 2018-08-28T00:48:31.000Z | Server/tests/__init__.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 10 | 2018-03-31T16:30:32.000Z | 2021-03-02T10:30:31.000Z | from .v2.views.admin.account.t_account_management import *
from .v2.views.admin.account.t_auth import *
from .v2.views.admin.excel.t_extension import *
from .v2.views.admin.excel.t_goingout import *
from .v2.views.admin.excel.t_stay import *
from .v2.views.admin.point.t_point import *
from .v2.views.admin.point.t_rule import *
from .v2.views.admin.point.t_student import *
from .v2.views.admin.post.t_post import *
from .v2.views.admin.post.t_preview import *
from .v2.views.admin.report.t_facility import *
# ---
from .v2.views.mixed.jwt.t_checker import *
from .v2.views.mixed.jwt.t_refresh import *
from .v2.views.mixed.metadata.t_developers import *
from .v2.views.mixed.metadata.t_links import *
from .v2.views.mixed.metadata.t_version import *
from .v2.views.mixed.school_data.t_meal import *
# ---
from .v2.views.student.account.t_alteration import *
from .v2.views.student.account.t_auth import *
from .v2.views.student.account.t_info import *
from .v2.views.student.account.t_signup import *
from .v2.views.student.apply.t_extension.post import *
from .v2.views.student.apply.t_extension.get import *
from .v2.views.student.apply.t_extension.delete import *
from .v2.views.student.apply.t_goingout import *
from .v2.views.student.apply.t_stay import *
from .v2.views.student.report.t_bug_report import *
from .v2.views.student.report.t_facility_report import * | 32.928571 | 58 | 0.778742 | 231 | 1,383 | 4.52381 | 0.164502 | 0.160766 | 0.294737 | 0.439234 | 0.83445 | 0.778947 | 0.717703 | 0.111962 | 0 | 0 | 0 | 0.022293 | 0.091829 | 1,383 | 42 | 59 | 32.928571 | 0.809713 | 0.005061 | 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 | 0 | 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 |
782db76eab2d43a3043d2df9fe3b6e737f5a5807 | 151 | py | Python | python-day3/loginapi/app/resources/__init__.py | sunilvijendra/python-flask-course | be49492098df05f28091c71e7eeecb706409a967 | [
"MIT"
] | null | null | null | python-day3/loginapi/app/resources/__init__.py | sunilvijendra/python-flask-course | be49492098df05f28091c71e7eeecb706409a967 | [
"MIT"
] | null | null | null | python-day3/loginapi/app/resources/__init__.py | sunilvijendra/python-flask-course | be49492098df05f28091c71e7eeecb706409a967 | [
"MIT"
] | 1 | 2018-07-16T07:01:15.000Z | 2018-07-16T07:01:15.000Z | from loginapi.app import api
from . import Users
#api.add_resource(User, '/user')
api.add_resource(Users, '/users')
#api.add_resource(Login, '/login') | 25.166667 | 34 | 0.741722 | 23 | 151 | 4.73913 | 0.434783 | 0.165138 | 0.385321 | 0.348624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092715 | 151 | 6 | 34 | 25.166667 | 0.79562 | 0.423841 | 0 | 0 | 0 | 0 | 0.069767 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 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 |
78793b46aa218c718f1838bcb93b8ab8978579ca | 186 | py | Python | visualize/__init__.py | lamnhh/AI-assignment-1 | cf4cd66afb4726b64f37110b358ae3483379c895 | [
"MIT"
] | null | null | null | visualize/__init__.py | lamnhh/AI-assignment-1 | cf4cd66afb4726b64f37110b358ae3483379c895 | [
"MIT"
] | null | null | null | visualize/__init__.py | lamnhh/AI-assignment-1 | cf4cd66afb4726b64f37110b358ae3483379c895 | [
"MIT"
] | null | null | null | from visualize.visualize2d import visualize as visualize2d
from visualize.visualize3d import visualize as visualize3d
from visualize.input_visualiser import visualize as visualize_input
| 46.5 | 67 | 0.887097 | 23 | 186 | 7.086957 | 0.347826 | 0.239264 | 0.312883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02381 | 0.096774 | 186 | 3 | 68 | 62 | 0.946429 | 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 |
788644fe9c8256333a0f31c5365d936cc9d076b6 | 3,035 | py | Python | primer.py | chrisalopez1337/python-algos | 560912b5b34f3fe7286e7ecff48097da766e11e1 | [
"MIT"
] | null | null | null | primer.py | chrisalopez1337/python-algos | 560912b5b34f3fe7286e7ecff48097da766e11e1 | [
"MIT"
] | null | null | null | primer.py | chrisalopez1337/python-algos | 560912b5b34f3fe7286e7ecff48097da766e11e1 | [
"MIT"
] | null | null | null | # Some of the old interview questions for primer.
import json
docid_to_title = json.loads('{"28099931907": {"content": {"title": "Zika dollars and Internet fight in play as government shutdown looms"}}, "28108959337": {"content": {"title": "Leaders express renewed optimism about flood relief as Congress aims to avoid a government shutdown"}}, "28110814722": {"content": {"title": "Senate passes stopgap spending bill, $1.1B to fight Zika"}}, "28101422554": {"content": {"title": "Senate blocks bill to avert shutdown as De..."}}, "28099132063": {"content": {"title": "Senate Dems threaten shutdown over Flint aid"}}, "28101167069": {"content": {"title": "Zika dollars, internet fight in play as government shutdown looms"}}, "28102817621": {"content": {"title": "House leaders reach deal on Flint aid, potentially averting shutdown"}}, "28108039075": {"content": {"title": "Deal reached to keep US government running, help Flint"}}, "28098698025": {"content": {"title": "Defeat of Republicans\\u2019 stop-gap spending bill brings federal government closer to a shutdown"}}, "28097027782": {"content": {"title": "Will Democrats force a government shutdown over Flint relief funds?"}}, "28111131355": {"content": {"title": "Lawmakers strike deal to avoid shutdown"}}, "28110856451": {"content": {"title": "Louisiana flood aid, $500 million, survives Senate budget fight"}}, "28106625838": {"content": {"title": "Pelosi aide says deal with Speaker Ryan covers Flint aid"}}, "28099931906": {"content": {"title": "Zika dollars and Internet fight in play as government shutdown looms"}}, "28096859458": {"content": {"title": "Are Democrats pushing the federal government toward a shutdown?"}}, "28110814723": {"content": {"title": "Senate passes stopgap spending bill, $1.1B to fight Zika"}}, "28093906031": {"content": {"title": "will democrats force a federal shutdown over Flint relief funds?"}}, "28108873175": {"content": {"title": "Senate Democrats accept deal on Flint aid, potentially averting shutdown", "sources": ["ABC", "FOX"]}}, "28103573587": {"content": {"title": "ALEXANDER : Senate Democrats\\u2019 Election Politics Are Putting Babies at Risk"}}, "28096849799": {"content": {"title": "Democrats poised to block stopgap funding bill over Flint"}}, "28098943696": {"content": {"title": "Senate blocks stopgap bill to prevent shutdown this weekend"}}, "28110942840": {"content": {"title": "Senate Passes Short-Term Government Funding Measure"}}, "28107038234": {"content": {"title": "House aides: Deal reached to help Flint, keep US gov\'t open"}}, "28084509076": {"content": {"title": "Week ahead: Spending fight shifts from Zika to Flint"}}, "28089633072": {"content": {"title": "Flint water aid spending bill\'s sticking point"}}, "28099749478": {"content": {"title": "Government shutdown looms due to partisan clash over Flint aid"}}, "28099468922": {"content": {"title": "Funding bill rejected as shutdown nears"}}, "28107540657": {"content": null}, "28098940419": {"content": {"title": ""}}');
print(docid_to_title);
| 505.833333 | 2,948 | 0.712356 | 370 | 3,035 | 5.832432 | 0.432432 | 0.1557 | 0.058387 | 0.031974 | 0.230769 | 0.204819 | 0.176089 | 0.138091 | 0.117702 | 0.117702 | 0 | 0.12486 | 0.118616 | 3,035 | 5 | 2,949 | 607 | 0.681869 | 0.015486 | 0 | 0 | 0 | 0.666667 | 0.925653 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0.333333 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 7 |
78a5c01c29b68de4286a88d999a1dd1592f69ee2 | 225 | py | Python | redant_libs/framework_mixin.py | srijan-sivakumar/dummy_redant | 36f30548331d67f38975e22efbb4cae953faaea3 | [
"MIT"
] | null | null | null | redant_libs/framework_mixin.py | srijan-sivakumar/dummy_redant | 36f30548331d67f38975e22efbb4cae953faaea3 | [
"MIT"
] | null | null | null | redant_libs/framework_mixin.py | srijan-sivakumar/dummy_redant | 36f30548331d67f38975e22efbb4cae953faaea3 | [
"MIT"
] | null | null | null | from redant_libs.ops_libs.peer_ops import peer_ops
from redant_libs.support_libs.rexe import Remote_ops
from redant_libs.ops_libs.volume_ops import volume_ops
class frameworkMixin(Remote_ops, peer_ops, volume_ops):
pass
| 32.142857 | 55 | 0.853333 | 38 | 225 | 4.684211 | 0.342105 | 0.168539 | 0.235955 | 0.191011 | 0.235955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097778 | 225 | 6 | 56 | 37.5 | 0.876847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.2 | 0.6 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
1532932461b530afa3acc56936b9b50794ae7f94 | 4,634 | py | Python | python/test_alpenglow/evaluation/test_DcgScore.py | fbobee/Alpenglow | 5f956511017c1bee72390aaecd964c04d8ad4b45 | [
"Apache-2.0"
] | 28 | 2017-07-23T22:47:44.000Z | 2022-03-12T15:11:13.000Z | python/test_alpenglow/evaluation/test_DcgScore.py | fbobee/Alpenglow | 5f956511017c1bee72390aaecd964c04d8ad4b45 | [
"Apache-2.0"
] | 4 | 2017-05-10T10:23:17.000Z | 2019-05-23T14:07:09.000Z | python/test_alpenglow/evaluation/test_DcgScore.py | fbobee/Alpenglow | 5f956511017c1bee72390aaecd964c04d8ad4b45 | [
"Apache-2.0"
] | 9 | 2017-05-04T09:20:58.000Z | 2021-12-14T08:19:01.000Z | import alpenglow as prs
import alpenglow.Getter as rs
import alpenglow.evaluation
import pandas as pd
import math
import unittest
class TestDcgScore(unittest.TestCase):
def test_dcgScore(self):
ranks = [102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 65, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 100, 102, 102, 18, 102, 102, 100, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 100, 100, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 100, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 67, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 100, 102, 102, 102, 102, 100, 102, 100, 102, 102, 102, 102, 58, 100, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 102, 102, 102, 102, 102, 100, 100, 102, 102, 100, 102, 102, 102, 100, 100, 100, 102, 102, 100, 102, 102, 102, 102, 100, 102, 102, 102, 47, 102, 102, 102, 100, 100, 102, 102, 102, 100, 102, 100, 102, 102, 102, 102, 102, 100, 100, 102, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 100, 102, 54, 100, 102, 100, 100, 102, 102, 100, 100, 102, 100, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 100, 100, 102, 100, 102, 102, 102, 102, 100, 102, 102, 102, 100, 102, 100, 100, 47, 102, 100, 102, 102, 102, 100, 102, 102, 100, 100, 102, 102, 100, 100, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 100, 102, 102, 102, 102, 102, 100, 102, 102, 100, 100, 100, 100, 100, 102, 100, 102, 102, 100, 102, 102, 100, 100, 37, 100, 102, 102, 102, 102, 102, 100, 102, 100, 102, 102, 102, 55, 102, 102, 100, 102, 102, 102, 102, 102, 102, 100, 100, 102, 102, 102, 102, 100, 102, 102, 102, 102, 102, 22, 102, 100, 100, 100, 102, 102, 102, 102, 102, 100, 102, 100, 102, 100, 102, 102, 102, 102, 102, 100, 102, 102, 102, 100, 102, 102, 100, 102, 100, 100, 102, 100, 102, 102, 100, 100, 100, 102, 102, 100, 100, 100, 102, 102, 100, 102, 102, 102, 102, 102, 102, 102, 100, 102, 102, 100, 100, 102, 102, 102, 102, 100, 102, 102, 102, 102, 100, 102, 102, 102, 21, 100, 102, 100, 102, 100, 102, 102, 102, 100, 100, 102, 102, 100, 102, 102, 102, 100, 102, 102, 100, 102, 102, 102, 102, 100, 102, 102, 102, 100, 100, 102, 102, 102, 100, 102, 102, 102, 100, 102, 102, 100, 102, 102, 102, 100, 102, 100, 102, 100, 100, 102, 100, 102, 100, 100, 100, 102, 102, 102, 102, 102, 100, 102, 100, 102, 102, 100, 102, 102, 102, 100, 102, 100, 102, 102, 102, 100, 102, 102, 102, 102, 102, 100, 102, 100, 100, 100, 102, 100, 102, 100, 102, 102, 100, 100, 100, 100, 100, 100, 102, 88, 102, 102, 102, 100, 102, 100, 100, 102, 100, 102, 102, 100, 102, 102, 102, 102, 102, 102, 100, 102, 102, 102, 100, 100, 100, 100, 102, 100, 100, 102, 102, 100, 102, 100, 102, 102, 102, 100, 102, 102, 100, 102, 14, 102, 100, 102, 102, 102, 102, 100, 102, 100, 100, 100, 102, 100, 102, 100, 102, 102, 102, 102, 102, 100, 100, 100, 100, 102, 102, 102, 102, 102, 102, 100, 102, 100, 100, 102, 100, 100, 102, 102, 100, 100, 100, 102, 100, 102, 102, 102, 102, 102, 102, 102, 100, 100, 102, 102, 100, 102, 102, 100, 100, 102, 102, 100, 102, 100, 102, 102, 100]
facRankings = pd.DataFrame.from_records(
[
(i, i, 0, r + 1 if r < 100 else None)
for i, r in enumerate(ranks)
],
columns=["id", "time", "prediction", "rank"]
).set_index("id")
facRankings.top_k = 100
dcg = alpenglow.evaluation.DcgScore(facRankings).mean()
dcgs = [math.log(2) / math.log(r + 2) if r < 100 else 0 for r in ranks]
self.assertAlmostEqual(dcg, sum(dcgs) / len(dcgs))
| 201.478261 | 3,938 | 0.598403 | 879 | 4,634 | 3.150171 | 0.07281 | 0.953413 | 1.105092 | 1.191766 | 0.83857 | 0.83857 | 0.836403 | 0.83532 | 0.814735 | 0.782232 | 0 | 0.649079 | 0.214717 | 4,634 | 22 | 3,939 | 210.636364 | 0.111844 | 0 | 0 | 0 | 0 | 0 | 0.004748 | 0 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0.05 | false | 0 | 0.3 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 |
1549cc4761b55f7cb9c93e9077d3ecfc88b40f7c | 189 | py | Python | extensions/lrc_editor/__init__.py | Tang142857/MyEditor | 2d532eecfa6c48719cf6db99495a910ddd0ff52c | [
"MulanPSL-1.0"
] | null | null | null | extensions/lrc_editor/__init__.py | Tang142857/MyEditor | 2d532eecfa6c48719cf6db99495a910ddd0ff52c | [
"MulanPSL-1.0"
] | null | null | null | extensions/lrc_editor/__init__.py | Tang142857/MyEditor | 2d532eecfa6c48719cf6db99495a910ddd0ff52c | [
"MulanPSL-1.0"
] | null | null | null | """
lyrics file editor for ME
@author: Tang142857
@file: __init__.py ,Create at: 2021-02-15
Copyright(c): DFSA Software Develop Center
"""
print(f'Importing lrc_extension at {__file__}')
| 18.9 | 47 | 0.740741 | 28 | 189 | 4.678571 | 0.892857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085366 | 0.132275 | 189 | 9 | 48 | 21 | 0.713415 | 0.693122 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
ece79794dc55d45c8a4e4410efd61b785e56f63a | 177 | py | Python | knx_stack/decode/layer/network/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 2 | 2021-07-28T07:42:28.000Z | 2022-01-25T18:56:05.000Z | knx_stack/decode/layer/network/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 6 | 2021-07-25T21:36:01.000Z | 2022-02-20T21:11:31.000Z | knx_stack/decode/layer/network/__init__.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | null | null | null | from knx_stack.decode.layer.network import n_data_broadcast
from knx_stack.decode.layer.network import n_data_group
from knx_stack.decode.layer.network import n_data_individual
| 44.25 | 60 | 0.881356 | 30 | 177 | 4.9 | 0.4 | 0.142857 | 0.244898 | 0.367347 | 0.836735 | 0.836735 | 0.836735 | 0.836735 | 0.836735 | 0 | 0 | 0 | 0.067797 | 177 | 3 | 61 | 59 | 0.890909 | 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 | 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 | 11 |
01d90c21b4cacb5ed3ce2a0cc9107bb62085e09e | 14,456 | py | Python | computational-harmony/majorMajorNetwork.py | TylerMclaughlin/computational-harmony | 3a3a10aa46738f6761fa3df19df62c70a66afdf2 | [
"MIT"
] | 5 | 2019-06-04T00:22:15.000Z | 2021-05-06T17:48:39.000Z | computational-harmony/majorMajorNetwork.py | TylerMclaughlin/computational-harmony | 3a3a10aa46738f6761fa3df19df62c70a66afdf2 | [
"MIT"
] | null | null | null | computational-harmony/majorMajorNetwork.py | TylerMclaughlin/computational-harmony | 3a3a10aa46738f6761fa3df19df62c70a66afdf2 | [
"MIT"
] | 1 | 2017-08-10T18:12:11.000Z | 2017-08-10T18:12:11.000Z | [('C', 'Major'), ('C sharp', 'Major'), [0, 5], 2]
[('C sharp', 'Major'), ('G', 'Major'), [0, 6], 2]
[('G', 'Major'), ('C sharp', 'Major'), [0, 6], 2]
[('C sharp', 'Major'), ('C', 'Major'), [0, 5], 2]
[('C', 'Major'), ('B', 'Major'), [11, 4], 2]
[('B', 'Major'), ('B flat', 'Major'), [10, 3], 2]
[('B flat', 'Major'), ('A', 'Major'), [9, 2], 2]
[('B flat', 'Major'), ('B', 'Major'), [10, 3], 2]
[('B flat', 'Major'), ('E', 'Major'), [9, 3], 2]
[('B flat', 'Major'), ('F sharp', 'Major'), [10, 3, 5], 3]
[('B flat', 'Major'), ('D', 'Major'), [9, 2, 7], 3]
[('B flat', 'Major'), ('C sharp', 'Major'), [0, 10, 3, 5], 4]
[('B flat', 'Major'), ('G', 'Major'), [0, 9, 2, 7], 4]
[('B flat', 'Major'), ('G sharp', 'Major'), [0, 10, 3, 5, 7], 5]
[('B flat', 'Major'), ('C', 'Major'), [0, 9, 2, 5, 7], 5]
[('B flat', 'Major'), ('E flat', 'Major'), [0, 2, 3, 5, 7, 10], 6]
[('B flat', 'Major'), ('F', 'Major'), [0, 2, 5, 7, 9, 10], 6]
[('B', 'Major'), ('C', 'Major'), [11, 4], 2]
[('C', 'Major'), ('F sharp', 'Major'), [11, 5], 2]
[('C', 'Major'), ('G sharp', 'Major'), [0, 5, 7], 3]
[('C', 'Major'), ('E', 'Major'), [9, 11, 4], 3]
[('C', 'Major'), ('A', 'Major'), [9, 2, 11, 4], 4]
[('C', 'Major'), ('E flat', 'Major'), [0, 2, 5, 7], 4]
[('C', 'Major'), ('B flat', 'Major'), [0, 9, 2, 5, 7], 5]
[('C', 'Major'), ('D', 'Major'), [9, 2, 11, 4, 7], 5]
[('C', 'Major'), ('G', 'Major'), [0, 2, 4, 7, 9, 11], 6]
[('C', 'Major'), ('F', 'Major'), [0, 2, 4, 5, 7, 9], 6]
[('B', 'Major'), ('F', 'Major'), [10, 4], 2]
[('F', 'Major'), ('B', 'Major'), [10, 4], 2]
[('F', 'Major'), ('F sharp', 'Major'), [10, 5], 2]
[('F', 'Major'), ('E', 'Major'), [9, 4], 2]
[('F', 'Major'), ('A', 'Major'), [9, 2, 4], 3]
[('F', 'Major'), ('C sharp', 'Major'), [0, 10, 5], 3]
[('F', 'Major'), ('G sharp', 'Major'), [0, 10, 5, 7], 4]
[('F', 'Major'), ('D', 'Major'), [9, 2, 4, 7], 4]
[('F', 'Major'), ('G', 'Major'), [0, 9, 2, 4, 7], 5]
[('F', 'Major'), ('E flat', 'Major'), [0, 2, 10, 5, 7], 5]
[('F', 'Major'), ('B flat', 'Major'), [0, 2, 5, 7, 9, 10], 6]
[('F', 'Major'), ('C', 'Major'), [0, 2, 4, 5, 7, 9], 6]
[('B', 'Major'), ('G', 'Major'), [11, 4, 6], 3]
[('G', 'Major'), ('G sharp', 'Major'), [0, 7], 2]
[('G', 'Major'), ('F sharp', 'Major'), [11, 6], 2]
[('G', 'Major'), ('B', 'Major'), [11, 4, 6], 3]
[('G', 'Major'), ('E flat', 'Major'), [0, 2, 7], 3]
[('G', 'Major'), ('B flat', 'Major'), [0, 9, 2, 7], 4]
[('G', 'Major'), ('E', 'Major'), [9, 11, 4, 6], 4]
[('G', 'Major'), ('A', 'Major'), [9, 2, 11, 4, 6], 5]
[('G', 'Major'), ('F', 'Major'), [0, 9, 2, 4, 7], 5]
[('G', 'Major'), ('C', 'Major'), [0, 2, 4, 7, 9, 11], 6]
[('G', 'Major'), ('D', 'Major'), [2, 4, 6, 7, 9, 11], 6]
[('B', 'Major'), ('E flat', 'Major'), [8, 10, 3], 3]
[('E flat', 'Major'), ('A', 'Major'), [8, 2], 2]
[('E flat', 'Major'), ('E', 'Major'), [8, 3], 2]
[('E flat', 'Major'), ('D', 'Major'), [2, 7], 2]
[('E flat', 'Major'), ('B', 'Major'), [8, 10, 3], 3]
[('E flat', 'Major'), ('G', 'Major'), [0, 2, 7], 3]
[('E flat', 'Major'), ('F sharp', 'Major'), [8, 10, 3, 5], 4]
[('E flat', 'Major'), ('C', 'Major'), [0, 2, 5, 7], 4]
[('E flat', 'Major'), ('C sharp', 'Major'), [0, 8, 10, 3, 5], 5]
[('E flat', 'Major'), ('F', 'Major'), [0, 2, 10, 5, 7], 5]
[('E flat', 'Major'), ('B flat', 'Major'), [0, 2, 3, 5, 7, 10], 6]
[('E flat', 'Major'), ('G sharp', 'Major'), [0, 3, 5, 7, 8, 10], 6]
[('B', 'Major'), ('G sharp', 'Major'), [8, 1, 10, 3], 4]
[('G sharp', 'Major'), ('A', 'Major'), [8, 1], 2]
[('G sharp', 'Major'), ('G', 'Major'), [0, 7], 2]
[('G sharp', 'Major'), ('D', 'Major'), [1, 7], 2]
[('G sharp', 'Major'), ('C', 'Major'), [0, 5, 7], 3]
[('G sharp', 'Major'), ('E', 'Major'), [8, 1, 3], 3]
[('G sharp', 'Major'), ('B', 'Major'), [8, 1, 10, 3], 4]
[('G sharp', 'Major'), ('F', 'Major'), [0, 10, 5, 7], 4]
[('G sharp', 'Major'), ('B flat', 'Major'), [0, 10, 3, 5, 7], 5]
[('G sharp', 'Major'), ('F sharp', 'Major'), [8, 1, 10, 3, 5], 5]
[('G sharp', 'Major'), ('C sharp', 'Major'), [0, 1, 3, 5, 8, 10], 6]
[('G sharp', 'Major'), ('E flat', 'Major'), [0, 3, 5, 7, 8, 10], 6]
[('B', 'Major'), ('D', 'Major'), [1, 11, 4, 6], 4]
[('D', 'Major'), ('C sharp', 'Major'), [1, 6], 2]
[('D', 'Major'), ('G sharp', 'Major'), [1, 7], 2]
[('D', 'Major'), ('E flat', 'Major'), [2, 7], 2]
[('D', 'Major'), ('B flat', 'Major'), [9, 2, 7], 3]
[('D', 'Major'), ('F sharp', 'Major'), [1, 11, 6], 3]
[('D', 'Major'), ('B', 'Major'), [1, 11, 4, 6], 4]
[('D', 'Major'), ('F', 'Major'), [9, 2, 4, 7], 4]
[('D', 'Major'), ('C', 'Major'), [9, 2, 11, 4, 7], 5]
[('D', 'Major'), ('E', 'Major'), [1, 11, 4, 6, 9], 5]
[('D', 'Major'), ('A', 'Major'), [1, 2, 4, 6, 9, 11], 6]
[('D', 'Major'), ('G', 'Major'), [2, 4, 6, 7, 9, 11], 6]
[('B', 'Major'), ('A', 'Major'), [8, 1, 11, 4, 6], 5]
[('A', 'Major'), ('B flat', 'Major'), [9, 2], 2]
[('A', 'Major'), ('G sharp', 'Major'), [8, 1], 2]
[('A', 'Major'), ('E flat', 'Major'), [8, 2], 2]
[('A', 'Major'), ('C sharp', 'Major'), [8, 1, 6], 3]
[('A', 'Major'), ('F', 'Major'), [9, 2, 4], 3]
[('A', 'Major'), ('F sharp', 'Major'), [8, 1, 11, 6], 4]
[('A', 'Major'), ('C', 'Major'), [9, 2, 11, 4], 4]
[('A', 'Major'), ('B', 'Major'), [8, 1, 11, 4, 6], 5]
[('A', 'Major'), ('G', 'Major'), [9, 2, 11, 4, 6], 5]
[('A', 'Major'), ('E', 'Major'), [1, 4, 6, 8, 9, 11], 6]
[('A', 'Major'), ('D', 'Major'), [1, 2, 4, 6, 9, 11], 6]
[('B', 'Major'), ('C sharp', 'Major'), [8, 1, 10, 3, 6], 5]
[('C sharp', 'Major'), ('D', 'Major'), [1, 6], 2]
[('C sharp', 'Major'), ('A', 'Major'), [8, 1, 6], 3]
[('C sharp', 'Major'), ('F', 'Major'), [0, 10, 5], 3]
[('C sharp', 'Major'), ('B flat', 'Major'), [0, 10, 3, 5], 4]
[('C sharp', 'Major'), ('E', 'Major'), [8, 1, 3, 6], 4]
[('C sharp', 'Major'), ('B', 'Major'), [8, 1, 10, 3, 6], 5]
[('C sharp', 'Major'), ('E flat', 'Major'), [0, 8, 10, 3, 5], 5]
[('C sharp', 'Major'), ('G sharp', 'Major'), [0, 1, 3, 5, 8, 10], 6]
[('C sharp', 'Major'), ('F sharp', 'Major'), [1, 3, 5, 6, 8, 10], 6]
[('B', 'Major'), ('F sharp', 'Major'), [1, 3, 6, 8, 10, 11], 6]
[('F sharp', 'Major'), ('G', 'Major'), [11, 6], 2]
[('F sharp', 'Major'), ('C', 'Major'), [11, 5], 2]
[('F sharp', 'Major'), ('F', 'Major'), [10, 5], 2]
[('F sharp', 'Major'), ('B flat', 'Major'), [10, 3, 5], 3]
[('F sharp', 'Major'), ('D', 'Major'), [1, 11, 6], 3]
[('F sharp', 'Major'), ('A', 'Major'), [8, 1, 11, 6], 4]
[('F sharp', 'Major'), ('E flat', 'Major'), [8, 10, 3, 5], 4]
[('F sharp', 'Major'), ('G sharp', 'Major'), [8, 1, 10, 3, 5], 5]
[('F sharp', 'Major'), ('E', 'Major'), [8, 1, 3, 6, 11], 5]
[('F sharp', 'Major'), ('C sharp', 'Major'), [1, 3, 5, 6, 8, 10], 6]
[('F sharp', 'Major'), ('B', 'Major'), [1, 3, 6, 8, 10, 11], 6]
[('B', 'Major'), ('E', 'Major'), [1, 3, 4, 6, 8, 11], 6]
[('E', 'Major'), ('B flat', 'Major'), [9, 3], 2]
[('E', 'Major'), ('E flat', 'Major'), [8, 3], 2]
[('E', 'Major'), ('F', 'Major'), [9, 4], 2]
[('E', 'Major'), ('G sharp', 'Major'), [8, 1, 3], 3]
[('E', 'Major'), ('C', 'Major'), [9, 11, 4], 3]
[('E', 'Major'), ('C sharp', 'Major'), [8, 1, 3, 6], 4]
[('E', 'Major'), ('G', 'Major'), [9, 11, 4, 6], 4]
[('E', 'Major'), ('F sharp', 'Major'), [8, 1, 3, 6, 11], 5]
[('E', 'Major'), ('D', 'Major'), [1, 11, 4, 6, 9], 5]
[('E', 'Major'), ('A', 'Major'), [1, 4, 6, 8, 9, 11], 6]
[('E', 'Major'), ('B', 'Major'), [1, 3, 4, 6, 8, 11], 6]
[('C', 'Major'), ('C sharp', 'Major'), [0, 5], 2]
[('C sharp', 'Major'), ('G', 'Major'), [0, 6], 2]
[('G', 'Major'), ('C sharp', 'Major'), [0, 6], 2]
[('C sharp', 'Major'), ('C', 'Major'), [0, 5], 2]
[('C', 'Major'), ('B', 'Major'), [11, 4], 2]
[('B', 'Major'), ('B flat', 'Major'), [10, 3], 2]
[('B flat', 'Major'), ('A', 'Major'), [9, 2], 2]
[('A', 'Major'), ('B flat', 'Major'), [9, 2], 2]
[('B flat', 'Major'), ('B', 'Major'), [10, 3], 2]
[('B', 'Major'), ('C', 'Major'), [11, 4], 2]
[('C', 'Major'), ('F sharp', 'Major'), [11, 5], 2]
[('F sharp', 'Major'), ('G', 'Major'), [11, 6], 2]
[('F sharp', 'Major'), ('C', 'Major'), [11, 5], 2]
[('F sharp', 'Major'), ('F', 'Major'), [10, 5], 2]
[('F sharp', 'Major'), ('B flat', 'Major'), [10, 3, 5], 3]
[('F sharp', 'Major'), ('D', 'Major'), [1, 11, 6], 3]
[('F sharp', 'Major'), ('A', 'Major'), [8, 1, 11, 6], 4]
[('F sharp', 'Major'), ('E flat', 'Major'), [8, 10, 3, 5], 4]
[('F sharp', 'Major'), ('G sharp', 'Major'), [8, 1, 10, 3, 5], 5]
[('F sharp', 'Major'), ('E', 'Major'), [8, 1, 3, 6, 11], 5]
[('F sharp', 'Major'), ('C sharp', 'Major'), [1, 3, 5, 6, 8, 10], 6]
[('F sharp', 'Major'), ('B', 'Major'), [1, 3, 6, 8, 10, 11], 6]
[('C', 'Major'), ('G sharp', 'Major'), [0, 5, 7], 3]
[('G sharp', 'Major'), ('A', 'Major'), [8, 1], 2]
[('G sharp', 'Major'), ('G', 'Major'), [0, 7], 2]
[('G sharp', 'Major'), ('D', 'Major'), [1, 7], 2]
[('G sharp', 'Major'), ('C', 'Major'), [0, 5, 7], 3]
[('G sharp', 'Major'), ('E', 'Major'), [8, 1, 3], 3]
[('G sharp', 'Major'), ('B', 'Major'), [8, 1, 10, 3], 4]
[('G sharp', 'Major'), ('F', 'Major'), [0, 10, 5, 7], 4]
[('G sharp', 'Major'), ('B flat', 'Major'), [0, 10, 3, 5, 7], 5]
[('G sharp', 'Major'), ('F sharp', 'Major'), [8, 1, 10, 3, 5], 5]
[('G sharp', 'Major'), ('C sharp', 'Major'), [0, 1, 3, 5, 8, 10], 6]
[('G sharp', 'Major'), ('E flat', 'Major'), [0, 3, 5, 7, 8, 10], 6]
[('C', 'Major'), ('E', 'Major'), [9, 11, 4], 3]
[('E', 'Major'), ('B flat', 'Major'), [9, 3], 2]
[('E', 'Major'), ('E flat', 'Major'), [8, 3], 2]
[('E', 'Major'), ('F', 'Major'), [9, 4], 2]
[('E', 'Major'), ('G sharp', 'Major'), [8, 1, 3], 3]
[('E', 'Major'), ('C', 'Major'), [9, 11, 4], 3]
[('E', 'Major'), ('C sharp', 'Major'), [8, 1, 3, 6], 4]
[('E', 'Major'), ('G', 'Major'), [9, 11, 4, 6], 4]
[('E', 'Major'), ('F sharp', 'Major'), [8, 1, 3, 6, 11], 5]
[('E', 'Major'), ('D', 'Major'), [1, 11, 4, 6, 9], 5]
[('E', 'Major'), ('A', 'Major'), [1, 4, 6, 8, 9, 11], 6]
[('E', 'Major'), ('B', 'Major'), [1, 3, 4, 6, 8, 11], 6]
[('C', 'Major'), ('A', 'Major'), [9, 2, 11, 4], 4]
[('A', 'Major'), ('G sharp', 'Major'), [8, 1], 2]
[('A', 'Major'), ('E flat', 'Major'), [8, 2], 2]
[('A', 'Major'), ('C sharp', 'Major'), [8, 1, 6], 3]
[('A', 'Major'), ('F', 'Major'), [9, 2, 4], 3]
[('A', 'Major'), ('F sharp', 'Major'), [8, 1, 11, 6], 4]
[('A', 'Major'), ('C', 'Major'), [9, 2, 11, 4], 4]
[('A', 'Major'), ('B', 'Major'), [8, 1, 11, 4, 6], 5]
[('A', 'Major'), ('G', 'Major'), [9, 2, 11, 4, 6], 5]
[('A', 'Major'), ('E', 'Major'), [1, 4, 6, 8, 9, 11], 6]
[('A', 'Major'), ('D', 'Major'), [1, 2, 4, 6, 9, 11], 6]
[('C', 'Major'), ('E flat', 'Major'), [0, 2, 5, 7], 4]
[('E flat', 'Major'), ('A', 'Major'), [8, 2], 2]
[('E flat', 'Major'), ('E', 'Major'), [8, 3], 2]
[('E flat', 'Major'), ('D', 'Major'), [2, 7], 2]
[('E flat', 'Major'), ('B', 'Major'), [8, 10, 3], 3]
[('E flat', 'Major'), ('G', 'Major'), [0, 2, 7], 3]
[('E flat', 'Major'), ('F sharp', 'Major'), [8, 10, 3, 5], 4]
[('E flat', 'Major'), ('C', 'Major'), [0, 2, 5, 7], 4]
[('E flat', 'Major'), ('C sharp', 'Major'), [0, 8, 10, 3, 5], 5]
[('E flat', 'Major'), ('F', 'Major'), [0, 2, 10, 5, 7], 5]
[('E flat', 'Major'), ('B flat', 'Major'), [0, 2, 3, 5, 7, 10], 6]
[('E flat', 'Major'), ('G sharp', 'Major'), [0, 3, 5, 7, 8, 10], 6]
[('C', 'Major'), ('B flat', 'Major'), [0, 9, 2, 5, 7], 5]
[('B flat', 'Major'), ('E', 'Major'), [9, 3], 2]
[('B flat', 'Major'), ('F sharp', 'Major'), [10, 3, 5], 3]
[('B flat', 'Major'), ('D', 'Major'), [9, 2, 7], 3]
[('B flat', 'Major'), ('C sharp', 'Major'), [0, 10, 3, 5], 4]
[('B flat', 'Major'), ('G', 'Major'), [0, 9, 2, 7], 4]
[('B flat', 'Major'), ('G sharp', 'Major'), [0, 10, 3, 5, 7], 5]
[('B flat', 'Major'), ('C', 'Major'), [0, 9, 2, 5, 7], 5]
[('B flat', 'Major'), ('E flat', 'Major'), [0, 2, 3, 5, 7, 10], 6]
[('B flat', 'Major'), ('F', 'Major'), [0, 2, 5, 7, 9, 10], 6]
[('C', 'Major'), ('D', 'Major'), [9, 2, 11, 4, 7], 5]
[('D', 'Major'), ('C sharp', 'Major'), [1, 6], 2]
[('D', 'Major'), ('G sharp', 'Major'), [1, 7], 2]
[('D', 'Major'), ('E flat', 'Major'), [2, 7], 2]
[('D', 'Major'), ('B flat', 'Major'), [9, 2, 7], 3]
[('D', 'Major'), ('F sharp', 'Major'), [1, 11, 6], 3]
[('D', 'Major'), ('B', 'Major'), [1, 11, 4, 6], 4]
[('D', 'Major'), ('F', 'Major'), [9, 2, 4, 7], 4]
[('D', 'Major'), ('C', 'Major'), [9, 2, 11, 4, 7], 5]
[('D', 'Major'), ('E', 'Major'), [1, 11, 4, 6, 9], 5]
[('D', 'Major'), ('A', 'Major'), [1, 2, 4, 6, 9, 11], 6]
[('D', 'Major'), ('G', 'Major'), [2, 4, 6, 7, 9, 11], 6]
[('C', 'Major'), ('G', 'Major'), [0, 2, 4, 7, 9, 11], 6]
[('G', 'Major'), ('G sharp', 'Major'), [0, 7], 2]
[('G', 'Major'), ('F sharp', 'Major'), [11, 6], 2]
[('G', 'Major'), ('B', 'Major'), [11, 4, 6], 3]
[('G', 'Major'), ('E flat', 'Major'), [0, 2, 7], 3]
[('G', 'Major'), ('B flat', 'Major'), [0, 9, 2, 7], 4]
[('G', 'Major'), ('E', 'Major'), [9, 11, 4, 6], 4]
[('G', 'Major'), ('A', 'Major'), [9, 2, 11, 4, 6], 5]
[('G', 'Major'), ('F', 'Major'), [0, 9, 2, 4, 7], 5]
[('G', 'Major'), ('C', 'Major'), [0, 2, 4, 7, 9, 11], 6]
[('G', 'Major'), ('D', 'Major'), [2, 4, 6, 7, 9, 11], 6]
[('C', 'Major'), ('F', 'Major'), [0, 2, 4, 5, 7, 9], 6]
[('F', 'Major'), ('B', 'Major'), [10, 4], 2]
[('F', 'Major'), ('F sharp', 'Major'), [10, 5], 2]
[('F', 'Major'), ('E', 'Major'), [9, 4], 2]
[('F', 'Major'), ('A', 'Major'), [9, 2, 4], 3]
[('F', 'Major'), ('C sharp', 'Major'), [0, 10, 5], 3]
[('F', 'Major'), ('G sharp', 'Major'), [0, 10, 5, 7], 4]
[('F', 'Major'), ('D', 'Major'), [9, 2, 4, 7], 4]
[('F', 'Major'), ('G', 'Major'), [0, 9, 2, 4, 7], 5]
[('F', 'Major'), ('E flat', 'Major'), [0, 2, 10, 5, 7], 5]
[('F', 'Major'), ('B flat', 'Major'), [0, 2, 5, 7, 9, 10], 6]
[('F', 'Major'), ('C', 'Major'), [0, 2, 4, 5, 7, 9], 6]
[('B', 'Major'), ('F', 'Major'), [10, 4], 2]
[('B', 'Major'), ('G', 'Major'), [11, 4, 6], 3]
[('B', 'Major'), ('E flat', 'Major'), [8, 10, 3], 3]
[('B', 'Major'), ('G sharp', 'Major'), [8, 1, 10, 3], 4]
[('B', 'Major'), ('D', 'Major'), [1, 11, 4, 6], 4]
[('B', 'Major'), ('A', 'Major'), [8, 1, 11, 4, 6], 5]
[('B', 'Major'), ('C sharp', 'Major'), [8, 1, 10, 3, 6], 5]
[('C sharp', 'Major'), ('D', 'Major'), [1, 6], 2]
[('C sharp', 'Major'), ('A', 'Major'), [8, 1, 6], 3]
[('C sharp', 'Major'), ('F', 'Major'), [0, 10, 5], 3]
[('C sharp', 'Major'), ('B flat', 'Major'), [0, 10, 3, 5], 4]
[('C sharp', 'Major'), ('E', 'Major'), [8, 1, 3, 6], 4]
[('C sharp', 'Major'), ('B', 'Major'), [8, 1, 10, 3, 6], 5]
[('B', 'Major'), ('F sharp', 'Major'), [1, 3, 6, 8, 10, 11], 6]
[('B', 'Major'), ('E', 'Major'), [1, 3, 4, 6, 8, 11], 6]
[('C sharp', 'Major'), ('E flat', 'Major'), [0, 8, 10, 3, 5], 5]
[('C sharp', 'Major'), ('G sharp', 'Major'), [0, 1, 3, 5, 8, 10], 6]
[('C sharp', 'Major'), ('F sharp', 'Major'), [1, 3, 5, 6, 8, 10], 6]
| 54.550943 | 68 | 0.388766 | 2,548 | 14,456 | 2.205651 | 0.008634 | 0.234875 | 0.086121 | 0.062633 | 1 | 1 | 1 | 1 | 0.985765 | 0.960142 | 0 | 0.120927 | 0.176259 | 14,456 | 264 | 69 | 54.757576 | 0.351025 | 0 | 0 | 1 | 0 | 0 | 0.304372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
bf2aea4d1c025913f325764be4ce4c5069302edc | 64 | py | Python | mhkit/river/io/__init__.py | cmichelenstrofer/MHKiT-Python | 7fda1eb13fc7cec832dc2b556a5bd8bc4d8ea6ce | [
"BSD-3-Clause"
] | 3 | 2020-01-15T16:21:26.000Z | 2020-01-28T17:10:13.000Z | mhkit/river/io/__init__.py | cmichelenstrofer/MHKiT-Python | 7fda1eb13fc7cec832dc2b556a5bd8bc4d8ea6ce | [
"BSD-3-Clause"
] | null | null | null | mhkit/river/io/__init__.py | cmichelenstrofer/MHKiT-Python | 7fda1eb13fc7cec832dc2b556a5bd8bc4d8ea6ce | [
"BSD-3-Clause"
] | 4 | 2020-01-15T16:24:04.000Z | 2020-01-15T20:45:22.000Z | from mhkit.river.io import usgs
from mhkit.river.io import d3d
| 21.333333 | 31 | 0.796875 | 12 | 64 | 4.25 | 0.583333 | 0.352941 | 0.54902 | 0.627451 | 0.862745 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018182 | 0.140625 | 64 | 2 | 32 | 32 | 0.909091 | 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 | 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 | 9 |
172d0bd94a1af6dc18fedd9539b8b708ba606cf5 | 121 | py | Python | graphite_feeder/handler/event/enum/clima/__init__.py | majamassarini/automate-graphite-feeder | 0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0 | [
"MIT"
] | null | null | null | graphite_feeder/handler/event/enum/clima/__init__.py | majamassarini/automate-graphite-feeder | 0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0 | [
"MIT"
] | null | null | null | graphite_feeder/handler/event/enum/clima/__init__.py | majamassarini/automate-graphite-feeder | 0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0 | [
"MIT"
] | null | null | null | from graphite_feeder.handler.event.enum.clima import command
from graphite_feeder.handler.event.enum.clima import season
| 40.333333 | 60 | 0.867769 | 18 | 121 | 5.722222 | 0.555556 | 0.23301 | 0.349515 | 0.485437 | 0.873786 | 0.873786 | 0.873786 | 0.873786 | 0 | 0 | 0 | 0 | 0.066116 | 121 | 2 | 61 | 60.5 | 0.911504 | 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 | 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 | 12 |
1739cb8664fb21299aedfc93248d79355c2d6fd1 | 5,076 | py | Python | backend/pollaris/app/migrations/0013_add_constraints.py | Elizabeth-Warren/pollaris | 153ca4297ceed1ac1685ca80c5890384800cfa8a | [
"MIT"
] | 78 | 2020-03-27T14:49:11.000Z | 2021-11-15T10:24:11.000Z | backend/pollaris/app/migrations/0013_add_constraints.py | Elizabeth-Warren/pollaris | 153ca4297ceed1ac1685ca80c5890384800cfa8a | [
"MIT"
] | 10 | 2020-06-06T01:47:56.000Z | 2022-02-27T23:34:30.000Z | backend/pollaris/app/migrations/0013_add_constraints.py | Elizabeth-Warren/pollaris | 153ca4297ceed1ac1685ca80c5890384800cfa8a | [
"MIT"
] | 14 | 2020-03-27T17:36:30.000Z | 2020-05-21T04:50:07.000Z | # Generated by Django 2.2.6 on 2020-01-09 16:38
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("app", "0012_unique_constraints")]
operations = [
migrations.AlterField(
model_name="dropboxlocation",
name="address",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="dropboxlocation",
name="city",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="dropboxlocation",
name="dates_hours",
field=models.CharField(blank=True, default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="dropboxlocation",
name="location_name",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="dropboxlocation",
name="state_code",
field=models.CharField(
default="",
max_length=2,
validators=[django.core.validators.RegexValidator("^[A-Z]{2}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="dropboxlocation",
name="zip",
field=models.CharField(
default="",
max_length=5,
validators=[django.core.validators.RegexValidator("^[0-9]{5}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="address",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="city",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="dates_hours",
field=models.CharField(blank=True, default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="location_name",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="state_code",
field=models.CharField(
default="",
max_length=2,
validators=[django.core.validators.RegexValidator("^[A-Z]{2}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="earlyvotelocation",
name="zip",
field=models.CharField(
default="",
max_length=5,
validators=[django.core.validators.RegexValidator("^[0-9]{5}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="address",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="city",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="dates_hours",
field=models.CharField(blank=True, default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="location_name",
field=models.CharField(default="", max_length=1024),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="state_code",
field=models.CharField(
default="",
max_length=2,
validators=[django.core.validators.RegexValidator("^[A-Z]{2}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="pollinglocation",
name="zip",
field=models.CharField(
default="",
max_length=5,
validators=[django.core.validators.RegexValidator("^[0-9]{5}$")],
),
preserve_default=False,
),
migrations.AlterField(
model_name="precinct",
name="precinct_code",
field=models.CharField(blank=True, max_length=1024),
),
]
| 33.84 | 81 | 0.535461 | 417 | 5,076 | 6.354916 | 0.136691 | 0.143396 | 0.179245 | 0.207925 | 0.920755 | 0.909811 | 0.893208 | 0.893208 | 0.893208 | 0.863396 | 0 | 0.026831 | 0.346533 | 5,076 | 149 | 82 | 34.067114 | 0.772083 | 0.008865 | 0 | 0.937063 | 1 | 0 | 0.105985 | 0.004573 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.013986 | 0 | 0.034965 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
bdcc9196d97b804ddd35b3a5b8d301c46ec56dac | 102 | py | Python | event_chain/app/apis/__init__.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | event_chain/app/apis/__init__.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | event_chain/app/apis/__init__.py | ArcBlock/event-chain | 50a37c76ab094386fc66c985f4174f8dabc98ad5 | [
"MIT"
] | null | null | null | from event_chain.app.apis.ticket import api_ticket
from event_chain.app.apis.mobile import api_mobile
| 34 | 50 | 0.862745 | 18 | 102 | 4.666667 | 0.5 | 0.214286 | 0.333333 | 0.404762 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 102 | 2 | 51 | 51 | 0.893617 | 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 |
da43779bee1964e09f2f635cdf175f70ffcf9518 | 2,265 | py | Python | ZiggeoStreams.py | nraval1729/ZiggeoPythonSdk | 5f4774fd505d16d249d43a75b9aab3483d7e892a | [
"Apache-2.0"
] | null | null | null | ZiggeoStreams.py | nraval1729/ZiggeoPythonSdk | 5f4774fd505d16d249d43a75b9aab3483d7e892a | [
"Apache-2.0"
] | null | null | null | ZiggeoStreams.py | nraval1729/ZiggeoPythonSdk | 5f4774fd505d16d249d43a75b9aab3483d7e892a | [
"Apache-2.0"
] | null | null | null | from builtins import object
class ZiggeoStreams(object):
def __init__(self, application):
self.__application = application
def index(self, video_token_or_key, data = None):
return self.__application.connect.getJSON('/v1/videos/' + video_token_or_key + '/streams', data)
def get(self, video_token_or_key, token_or_key):
return self.__application.connect.getJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '')
def download_video(self, video_token_or_key, token_or_key):
return self.__application.connect.get('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/video')
def download_image(self, video_token_or_key, token_or_key):
return self.__application.connect.get('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/image')
def push_to_service(self, video_token_or_key, token_or_key, data = None):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/push', data)
def delete(self, video_token_or_key, token_or_key):
return self.__application.connect.delete('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '')
def create(self, video_token_or_key, data = None, file = None):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams', data, file)
def attach_image(self, video_token_or_key, token_or_key, data = None, file = None):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/image', data, file)
def attach_video(self, video_token_or_key, token_or_key, data = None, file = None):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/video', data, file)
def attach_subtitle(self, video_token_or_key, token_or_key, data = None):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/subtitle', data)
def bind(self, video_token_or_key, token_or_key):
return self.__application.connect.postJSON('/v1/videos/' + video_token_or_key + '/streams/' + token_or_key + '/bind')
| 56.625 | 138 | 0.710817 | 318 | 2,265 | 4.632075 | 0.113208 | 0.190088 | 0.271555 | 0.224033 | 0.828921 | 0.828921 | 0.828921 | 0.816701 | 0.81127 | 0.785472 | 0 | 0.005741 | 0.154084 | 2,265 | 39 | 139 | 58.076923 | 0.763048 | 0 | 0 | 0 | 0 | 0 | 0.115283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.461538 | false | 0 | 0.038462 | 0.423077 | 0.961538 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 11 |
16f3a2c947fb2cfff372e3cb4375ec2a4f6fc7e5 | 358 | py | Python | ExtractCluster5.py | yasuhikohaga/my_bioinfo_codes | 4355e2243761f0388ec2126cef1525d04c492f6f | [
"MIT"
] | null | null | null | ExtractCluster5.py | yasuhikohaga/my_bioinfo_codes | 4355e2243761f0388ec2126cef1525d04c492f6f | [
"MIT"
] | null | null | null | ExtractCluster5.py | yasuhikohaga/my_bioinfo_codes | 4355e2243761f0388ec2126cef1525d04c492f6f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pandas as pd
df = pd.read_csv('/Users/yasuhikohaga/desktop/PC9_GEX-ATAC_exon/wnn_analysis/wnn/フィルタリング変更後_解析/SeuratObjectDataExtraction/metadata.csv')
df = df[df.seurat_clusters == 5]
df.to_csv('/Users/yasuhikohaga/desktop/PC9_GEX-ATAC_exon/wnn_analysis/wnn/フィルタリング変更後_解析/SeuratObjectDataExtraction/metadata_cluster5.csv')
| 35.8 | 139 | 0.818436 | 52 | 358 | 5.403846 | 0.557692 | 0.05694 | 0.142349 | 0.192171 | 0.718861 | 0.718861 | 0.718861 | 0.718861 | 0.718861 | 0.718861 | 0 | 0.014749 | 0.053073 | 358 | 9 | 140 | 39.777778 | 0.814159 | 0.058659 | 0 | 0 | 0 | 0.5 | 0.723214 | 0.723214 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
e529404d2dab638f763a453d2960e3d033846c82 | 87,819 | py | Python | kit_imagenet.py | pmathewjacob/insightface-attendance | 447b669e3d176bb1c78a6108334d6470a8fb25a8 | [
"MIT"
] | 5 | 2019-12-02T03:32:29.000Z | 2020-06-14T19:22:40.000Z | kit_imagenet.py | pmathewjacob/insightface-attendance | 447b669e3d176bb1c78a6108334d6470a8fb25a8 | [
"MIT"
] | 13 | 2020-03-24T17:53:27.000Z | 2022-02-10T00:49:34.000Z | kit_imagenet.py | pmathewjacob/insightface-attendance | 447b669e3d176bb1c78a6108334d6470a8fb25a8 | [
"MIT"
] | 6 | 2019-12-02T16:35:57.000Z | 2020-08-21T08:44:27.000Z | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
__weights_dict = dict()
def load_weights(weight_file):
if weight_file == None:
return
try:
weights_dict = np.load(weight_file, allow_pickle=True).item()
except:
weights_dict = np.load(weight_file, encoding='bytes', allow_pickle=True).item()
return weights_dict
class KitModel(nn.Module):
def __init__(self, weight_file):
super(KitModel, self).__init__()
global __weights_dict
__weights_dict = load_weights(weight_file)
self.vargface_head_conv1 = self.__conv(2, name='vargface_head_conv1', in_channels=3, out_channels=40, kernel_size=(3, 3), stride=(1, 1), groups=1, bias=False)
self.vargface_head_conv1_bn = self.__batch_normalization(2, 'vargface_head_conv1_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_head_head_pooling_sep1_data_conv2d_depthwise', in_channels=40, out_channels=40, kernel_size=(3, 3), stride=(2, 2), groups=5, bias=False)
self.vargface_head_head_pooling_shortcut_conv2d_depthwise = self.__conv(2, name='vargface_head_head_pooling_shortcut_conv2d_depthwise', in_channels=40, out_channels=40, kernel_size=(3, 3), stride=(2, 2), groups=5, bias=False)
self.vargface_head_head_pooling_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_sep1_data_conv2d_depthwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_shortcut_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_shortcut_conv2d_depthwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_head_head_pooling_sep1_data_conv2d_pointwise', in_channels=40, out_channels=40, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_head_head_pooling_shortcut_conv2d_pointwise = self.__conv(2, name='vargface_head_head_pooling_shortcut_conv2d_pointwise', in_channels=40, out_channels=40, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_head_head_pooling_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_sep1_data_conv2d_pointwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_shortcut_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_shortcut_conv2d_pointwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_head_head_pooling_sep2_data_conv2d_depthwise', in_channels=40, out_channels=40, kernel_size=(3, 3), stride=(1, 1), groups=5, bias=False)
self.vargface_head_head_pooling_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_sep2_data_conv2d_depthwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_head_head_pooling_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_head_head_pooling_sep2_data_conv2d_pointwise', in_channels=40, out_channels=40, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_head_head_pooling_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_head_head_pooling_sep2_data_conv2d_pointwise_bn', num_features=40, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise', in_channels=40, out_channels=80, kernel_size=(3, 3), stride=(2, 2), groups=5, bias=False)
self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise', in_channels=40, out_channels=80, kernel_size=(3, 3), stride=(2, 2), groups=5, bias=False)
self.vargface_stage_2_unit_1_shortcut_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_1_shortcut_conv2d_depthwise', in_channels=40, out_channels=80, kernel_size=(3, 3), stride=(2, 2), groups=5, bias=False)
self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_shortcut_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_shortcut_conv2d_depthwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise', in_channels=80, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise', in_channels=80, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_1_shortcut_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_1_shortcut_conv2d_pointwise', in_channels=80, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_shortcut_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_shortcut_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_1_sep2_data_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(1, 1), groups=10, bias=False)
self.vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_1_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_1_sep2_data_conv2d_pointwise', in_channels=160, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_1_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_1_sep2_data_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_2_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_2_sep1_data_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(1, 1), groups=10, bias=False)
self.vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_2_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_2_sep1_data_conv2d_pointwise', in_channels=160, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_2_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_2_sep2_data_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(1, 1), groups=10, bias=False)
self.vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_2_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_2_sep2_data_conv2d_pointwise', in_channels=160, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_2_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_2_sep2_data_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_3_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_3_sep1_data_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(1, 1), groups=10, bias=False)
self.vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_3_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_3_sep1_data_conv2d_pointwise', in_channels=160, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_3_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_2_unit_3_sep2_data_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(1, 1), groups=10, bias=False)
self.vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_2_unit_3_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_2_unit_3_sep2_data_conv2d_pointwise', in_channels=160, out_channels=80, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_2_unit_3_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_2_unit_3_sep2_data_conv2d_pointwise_bn', num_features=80, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(2, 2), groups=10, bias=False)
self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(2, 2), groups=10, bias=False)
self.vargface_stage_3_unit_1_shortcut_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_1_shortcut_conv2d_depthwise', in_channels=80, out_channels=160, kernel_size=(3, 3), stride=(2, 2), groups=10, bias=False)
self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_shortcut_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_shortcut_conv2d_depthwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise', in_channels=160, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise', in_channels=160, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_1_shortcut_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_1_shortcut_conv2d_pointwise', in_channels=160, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_shortcut_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_shortcut_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_1_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_1_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_1_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_1_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_1_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_2_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_2_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_2_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_2_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_2_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_2_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_2_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_2_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_2_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_2_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_3_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_3_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_3_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_3_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_3_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_3_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_3_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_3_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_3_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_3_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_4_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_4_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_4_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_4_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_4_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_4_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_4_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_4_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_4_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_4_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_5_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_5_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_5_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_5_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_5_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_5_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_5_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_5_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_5_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_5_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_6_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_6_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_6_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_6_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_6_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_6_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_6_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_6_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_6_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_6_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_7_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_7_sep1_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_7_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_7_sep1_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_7_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_3_unit_7_sep2_data_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(1, 1), groups=20, bias=False)
self.vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_3_unit_7_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_3_unit_7_sep2_data_conv2d_pointwise', in_channels=320, out_channels=160, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_3_unit_7_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_3_unit_7_sep2_data_conv2d_pointwise_bn', num_features=160, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(2, 2), groups=20, bias=False)
self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(2, 2), groups=20, bias=False)
self.vargface_stage_4_unit_1_shortcut_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_1_shortcut_conv2d_depthwise', in_channels=160, out_channels=320, kernel_size=(3, 3), stride=(2, 2), groups=20, bias=False)
self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_shortcut_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_shortcut_conv2d_depthwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise', in_channels=320, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise', in_channels=320, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_1_shortcut_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_1_shortcut_conv2d_pointwise', in_channels=320, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_shortcut_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_shortcut_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_1_sep2_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_1_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_1_sep2_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_1_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_1_sep2_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_2_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_2_sep1_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_2_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_2_sep1_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_2_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_2_sep2_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_2_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_2_sep2_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_2_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_2_sep2_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_3_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_3_sep1_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_3_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_3_sep1_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_3_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_3_sep2_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_3_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_3_sep2_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_3_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_3_sep2_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_4_sep1_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_4_sep1_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_4_sep1_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_4_sep1_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_4_sep2_data_conv2d_depthwise = self.__conv(2, name='vargface_stage_4_unit_4_sep2_data_conv2d_depthwise', in_channels=320, out_channels=640, kernel_size=(3, 3), stride=(1, 1), groups=40, bias=False)
self.vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_bn', num_features=640, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.vargface_stage_4_unit_4_sep2_data_conv2d_pointwise = self.__conv(2, name='vargface_stage_4_unit_4_sep2_data_conv2d_pointwise', in_channels=640, out_channels=320, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.vargface_stage_4_unit_4_sep2_data_conv2d_pointwise_bn = self.__batch_normalization(2, 'vargface_stage_4_unit_4_sep2_data_conv2d_pointwise_bn', num_features=320, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.embed_convx = self.__conv(2, name='embed_convx', in_channels=320, out_channels=1024, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.embed_convx_bn = self.__batch_normalization(2, 'embed_convx_bn', num_features=1024, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.embed_convx_depthwise = self.__conv(2, name='embed_convx_depthwise', in_channels=1024, out_channels=1024, kernel_size=(7, 7), stride=(1, 1), groups=128, bias=False)
self.embed_convx_depthwise_bn = self.__batch_normalization(2, 'embed_convx_depthwise_bn', num_features=1024, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.embed_convx_pointwise = self.__conv(2, name='embed_convx_pointwise', in_channels=1024, out_channels=512, kernel_size=(1, 1), stride=(1, 1), groups=1, bias=False)
self.embed_convx_pointwise_bn = self.__batch_normalization(2, 'embed_convx_pointwise_bn', num_features=512, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
self.pre_fc1 = self.__dense(name = 'pre_fc1', in_features = 512, out_features = 512, bias = True)
self.fc1 = self.__batch_normalization(0, 'fc1', num_features=512, eps=1.9999999494757503e-05, momentum=0.8999999761581421)
def forward(self, x):
self.minusscalar0_second = torch.autograd.Variable(torch.from_numpy(__weights_dict['minusscalar0_second']['value']), requires_grad=False)
self.mulscalar0_second = torch.autograd.Variable(torch.from_numpy(__weights_dict['mulscalar0_second']['value']), requires_grad=False)
minusscalar0 = x - self.minusscalar0_second
mulscalar0 = minusscalar0 * self.mulscalar0_second
vargface_head_conv1_pad = F.pad(mulscalar0, (1, 1, 1, 1))
vargface_head_conv1 = self.vargface_head_conv1(vargface_head_conv1_pad)
vargface_head_conv1_bn = self.vargface_head_conv1_bn(vargface_head_conv1)
vargface_head_conv1_act = F.prelu(vargface_head_conv1_bn, torch.from_numpy(__weights_dict['vargface_head_conv1_act']['weights']))
vargface_head_head_pooling_sep1_data_conv2d_depthwise_pad = F.pad(vargface_head_conv1_act, (1, 1, 1, 1))
vargface_head_head_pooling_sep1_data_conv2d_depthwise = self.vargface_head_head_pooling_sep1_data_conv2d_depthwise(vargface_head_head_pooling_sep1_data_conv2d_depthwise_pad)
vargface_head_head_pooling_shortcut_conv2d_depthwise_pad = F.pad(vargface_head_conv1_act, (1, 1, 1, 1))
vargface_head_head_pooling_shortcut_conv2d_depthwise = self.vargface_head_head_pooling_shortcut_conv2d_depthwise(vargface_head_head_pooling_shortcut_conv2d_depthwise_pad)
vargface_head_head_pooling_sep1_data_conv2d_depthwise_bn = self.vargface_head_head_pooling_sep1_data_conv2d_depthwise_bn(vargface_head_head_pooling_sep1_data_conv2d_depthwise)
vargface_head_head_pooling_shortcut_conv2d_depthwise_bn = self.vargface_head_head_pooling_shortcut_conv2d_depthwise_bn(vargface_head_head_pooling_shortcut_conv2d_depthwise)
vargface_head_head_pooling_sep1_data_conv2d_depthwise_act = F.prelu(vargface_head_head_pooling_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_head_head_pooling_sep1_data_conv2d_depthwise_act']['weights']))
vargface_head_head_pooling_shortcut_conv2d_depthwise_act = F.prelu(vargface_head_head_pooling_shortcut_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_head_head_pooling_shortcut_conv2d_depthwise_act']['weights']))
vargface_head_head_pooling_sep1_data_conv2d_pointwise = self.vargface_head_head_pooling_sep1_data_conv2d_pointwise(vargface_head_head_pooling_sep1_data_conv2d_depthwise_act)
vargface_head_head_pooling_shortcut_conv2d_pointwise = self.vargface_head_head_pooling_shortcut_conv2d_pointwise(vargface_head_head_pooling_shortcut_conv2d_depthwise_act)
vargface_head_head_pooling_sep1_data_conv2d_pointwise_bn = self.vargface_head_head_pooling_sep1_data_conv2d_pointwise_bn(vargface_head_head_pooling_sep1_data_conv2d_pointwise)
vargface_head_head_pooling_shortcut_conv2d_pointwise_bn = self.vargface_head_head_pooling_shortcut_conv2d_pointwise_bn(vargface_head_head_pooling_shortcut_conv2d_pointwise)
vargface_head_head_pooling_sep1_data_conv2d_pointwise_act = F.prelu(vargface_head_head_pooling_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_head_head_pooling_sep1_data_conv2d_pointwise_act']['weights']))
vargface_head_head_pooling_sep2_data_conv2d_depthwise_pad = F.pad(vargface_head_head_pooling_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_head_head_pooling_sep2_data_conv2d_depthwise = self.vargface_head_head_pooling_sep2_data_conv2d_depthwise(vargface_head_head_pooling_sep2_data_conv2d_depthwise_pad)
vargface_head_head_pooling_sep2_data_conv2d_depthwise_bn = self.vargface_head_head_pooling_sep2_data_conv2d_depthwise_bn(vargface_head_head_pooling_sep2_data_conv2d_depthwise)
vargface_head_head_pooling_sep2_data_conv2d_depthwise_act = F.prelu(vargface_head_head_pooling_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_head_head_pooling_sep2_data_conv2d_depthwise_act']['weights']))
vargface_head_head_pooling_sep2_data_conv2d_pointwise = self.vargface_head_head_pooling_sep2_data_conv2d_pointwise(vargface_head_head_pooling_sep2_data_conv2d_depthwise_act)
vargface_head_head_pooling_sep2_data_conv2d_pointwise_bn = self.vargface_head_head_pooling_sep2_data_conv2d_pointwise_bn(vargface_head_head_pooling_sep2_data_conv2d_pointwise)
plus0 = vargface_head_head_pooling_sep2_data_conv2d_pointwise_bn + vargface_head_head_pooling_shortcut_conv2d_pointwise_bn
vargface_head_head_pooling_out_data_act = F.prelu(plus0, torch.from_numpy(__weights_dict['vargface_head_head_pooling_out_data_act']['weights']))
vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_pad = F.pad(vargface_head_head_pooling_out_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise = self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise(vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_pad)
vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_pad = F.pad(vargface_head_head_pooling_out_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise = self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise(vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_pad)
vargface_stage_2_unit_1_shortcut_conv2d_depthwise_pad = F.pad(vargface_head_head_pooling_out_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_1_shortcut_conv2d_depthwise = self.vargface_stage_2_unit_1_shortcut_conv2d_depthwise(vargface_stage_2_unit_1_shortcut_conv2d_depthwise_pad)
vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_bn(vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise)
vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_bn(vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise)
vargface_stage_2_unit_1_shortcut_conv2d_depthwise_bn = self.vargface_stage_2_unit_1_shortcut_conv2d_depthwise_bn(vargface_stage_2_unit_1_shortcut_conv2d_depthwise)
vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_1_shortcut_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_1_shortcut_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_shortcut_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise = self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise(vargface_stage_2_unit_1_sep1_data_branch_conv2d_depthwise_act)
vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise = self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise(vargface_stage_2_unit_1_sep2_data_branch_conv2d_depthwise_act)
vargface_stage_2_unit_1_shortcut_conv2d_pointwise = self.vargface_stage_2_unit_1_shortcut_conv2d_pointwise(vargface_stage_2_unit_1_shortcut_conv2d_depthwise_act)
vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise_bn(vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise)
vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise_bn(vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise)
vargface_stage_2_unit_1_shortcut_conv2d_pointwise_bn = self.vargface_stage_2_unit_1_shortcut_conv2d_pointwise_bn(vargface_stage_2_unit_1_shortcut_conv2d_pointwise)
plus1 = vargface_stage_2_unit_1_sep1_data_branch_conv2d_pointwise_bn + vargface_stage_2_unit_1_sep2_data_branch_conv2d_pointwise_bn
vargface_stage_2_unit_1_sep1_data_act = F.prelu(plus1, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_sep1_data_act']['weights']))
vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_1_sep1_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_1_sep2_data_conv2d_depthwise = self.vargface_stage_2_unit_1_sep2_data_conv2d_depthwise(vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_pad)
vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_bn = self.vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_bn(vargface_stage_2_unit_1_sep2_data_conv2d_depthwise)
vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_1_sep2_data_conv2d_pointwise = self.vargface_stage_2_unit_1_sep2_data_conv2d_pointwise(vargface_stage_2_unit_1_sep2_data_conv2d_depthwise_act)
vargface_stage_2_unit_1_sep2_data_conv2d_pointwise_bn = self.vargface_stage_2_unit_1_sep2_data_conv2d_pointwise_bn(vargface_stage_2_unit_1_sep2_data_conv2d_pointwise)
plus2 = vargface_stage_2_unit_1_sep2_data_conv2d_pointwise_bn + vargface_stage_2_unit_1_shortcut_conv2d_pointwise_bn
vargface_stage_2_unit_1_out_data_act = F.prelu(plus2, torch.from_numpy(__weights_dict['vargface_stage_2_unit_1_out_data_act']['weights']))
vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_1_out_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_2_sep1_data_conv2d_depthwise = self.vargface_stage_2_unit_2_sep1_data_conv2d_depthwise(vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_pad)
vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_bn = self.vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_bn(vargface_stage_2_unit_2_sep1_data_conv2d_depthwise)
vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_2_sep1_data_conv2d_pointwise = self.vargface_stage_2_unit_2_sep1_data_conv2d_pointwise(vargface_stage_2_unit_2_sep1_data_conv2d_depthwise_act)
vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_bn = self.vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_bn(vargface_stage_2_unit_2_sep1_data_conv2d_pointwise)
vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_2_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_2_unit_2_sep2_data_conv2d_depthwise = self.vargface_stage_2_unit_2_sep2_data_conv2d_depthwise(vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_pad)
vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_bn = self.vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_bn(vargface_stage_2_unit_2_sep2_data_conv2d_depthwise)
vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_2_sep2_data_conv2d_pointwise = self.vargface_stage_2_unit_2_sep2_data_conv2d_pointwise(vargface_stage_2_unit_2_sep2_data_conv2d_depthwise_act)
vargface_stage_2_unit_2_sep2_data_conv2d_pointwise_bn = self.vargface_stage_2_unit_2_sep2_data_conv2d_pointwise_bn(vargface_stage_2_unit_2_sep2_data_conv2d_pointwise)
plus3 = vargface_stage_2_unit_2_sep2_data_conv2d_pointwise_bn + vargface_stage_2_unit_1_out_data_act
vargface_stage_2_unit_2_out_data_act = F.prelu(plus3, torch.from_numpy(__weights_dict['vargface_stage_2_unit_2_out_data_act']['weights']))
vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_2_out_data_act, (1, 1, 1, 1))
vargface_stage_2_unit_3_sep1_data_conv2d_depthwise = self.vargface_stage_2_unit_3_sep1_data_conv2d_depthwise(vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_pad)
vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_bn = self.vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_bn(vargface_stage_2_unit_3_sep1_data_conv2d_depthwise)
vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_3_sep1_data_conv2d_pointwise = self.vargface_stage_2_unit_3_sep1_data_conv2d_pointwise(vargface_stage_2_unit_3_sep1_data_conv2d_depthwise_act)
vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_bn = self.vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_bn(vargface_stage_2_unit_3_sep1_data_conv2d_pointwise)
vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_3_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_2_unit_3_sep2_data_conv2d_depthwise = self.vargface_stage_2_unit_3_sep2_data_conv2d_depthwise(vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_pad)
vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_bn = self.vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_bn(vargface_stage_2_unit_3_sep2_data_conv2d_depthwise)
vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_2_unit_3_sep2_data_conv2d_pointwise = self.vargface_stage_2_unit_3_sep2_data_conv2d_pointwise(vargface_stage_2_unit_3_sep2_data_conv2d_depthwise_act)
vargface_stage_2_unit_3_sep2_data_conv2d_pointwise_bn = self.vargface_stage_2_unit_3_sep2_data_conv2d_pointwise_bn(vargface_stage_2_unit_3_sep2_data_conv2d_pointwise)
plus4 = vargface_stage_2_unit_3_sep2_data_conv2d_pointwise_bn + vargface_stage_2_unit_2_out_data_act
vargface_stage_2_unit_3_out_data_act = F.prelu(plus4, torch.from_numpy(__weights_dict['vargface_stage_2_unit_3_out_data_act']['weights']))
vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_3_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise = self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise(vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_pad)
vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_3_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise = self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise(vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_pad)
vargface_stage_3_unit_1_shortcut_conv2d_depthwise_pad = F.pad(vargface_stage_2_unit_3_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_1_shortcut_conv2d_depthwise = self.vargface_stage_3_unit_1_shortcut_conv2d_depthwise(vargface_stage_3_unit_1_shortcut_conv2d_depthwise_pad)
vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_bn(vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise)
vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_bn(vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise)
vargface_stage_3_unit_1_shortcut_conv2d_depthwise_bn = self.vargface_stage_3_unit_1_shortcut_conv2d_depthwise_bn(vargface_stage_3_unit_1_shortcut_conv2d_depthwise)
vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_1_shortcut_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_1_shortcut_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_shortcut_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise = self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise(vargface_stage_3_unit_1_sep1_data_branch_conv2d_depthwise_act)
vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise = self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise(vargface_stage_3_unit_1_sep2_data_branch_conv2d_depthwise_act)
vargface_stage_3_unit_1_shortcut_conv2d_pointwise = self.vargface_stage_3_unit_1_shortcut_conv2d_pointwise(vargface_stage_3_unit_1_shortcut_conv2d_depthwise_act)
vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise_bn(vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise)
vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise_bn(vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise)
vargface_stage_3_unit_1_shortcut_conv2d_pointwise_bn = self.vargface_stage_3_unit_1_shortcut_conv2d_pointwise_bn(vargface_stage_3_unit_1_shortcut_conv2d_pointwise)
plus5 = vargface_stage_3_unit_1_sep1_data_branch_conv2d_pointwise_bn + vargface_stage_3_unit_1_sep2_data_branch_conv2d_pointwise_bn
vargface_stage_3_unit_1_sep1_data_act = F.prelu(plus5, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_sep1_data_act']['weights']))
vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_1_sep1_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_1_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_1_sep2_data_conv2d_depthwise(vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_1_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_1_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_1_sep2_data_conv2d_pointwise(vargface_stage_3_unit_1_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_1_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_1_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_1_sep2_data_conv2d_pointwise)
plus6 = vargface_stage_3_unit_1_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_1_shortcut_conv2d_pointwise_bn
vargface_stage_3_unit_1_out_data_act = F.prelu(plus6, torch.from_numpy(__weights_dict['vargface_stage_3_unit_1_out_data_act']['weights']))
vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_1_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_2_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_2_sep1_data_conv2d_depthwise(vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_2_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_2_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_2_sep1_data_conv2d_pointwise(vargface_stage_3_unit_2_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_2_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_2_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_2_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_2_sep2_data_conv2d_depthwise(vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_2_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_2_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_2_sep2_data_conv2d_pointwise(vargface_stage_3_unit_2_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_2_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_2_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_2_sep2_data_conv2d_pointwise)
plus7 = vargface_stage_3_unit_2_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_1_out_data_act
vargface_stage_3_unit_2_out_data_act = F.prelu(plus7, torch.from_numpy(__weights_dict['vargface_stage_3_unit_2_out_data_act']['weights']))
vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_2_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_3_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_3_sep1_data_conv2d_depthwise(vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_3_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_3_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_3_sep1_data_conv2d_pointwise(vargface_stage_3_unit_3_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_3_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_3_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_3_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_3_sep2_data_conv2d_depthwise(vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_3_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_3_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_3_sep2_data_conv2d_pointwise(vargface_stage_3_unit_3_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_3_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_3_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_3_sep2_data_conv2d_pointwise)
plus8 = vargface_stage_3_unit_3_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_2_out_data_act
vargface_stage_3_unit_3_out_data_act = F.prelu(plus8, torch.from_numpy(__weights_dict['vargface_stage_3_unit_3_out_data_act']['weights']))
vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_3_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_4_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_4_sep1_data_conv2d_depthwise(vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_4_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_4_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_4_sep1_data_conv2d_pointwise(vargface_stage_3_unit_4_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_4_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_4_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_4_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_4_sep2_data_conv2d_depthwise(vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_4_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_4_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_4_sep2_data_conv2d_pointwise(vargface_stage_3_unit_4_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_4_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_4_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_4_sep2_data_conv2d_pointwise)
plus9 = vargface_stage_3_unit_4_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_3_out_data_act
vargface_stage_3_unit_4_out_data_act = F.prelu(plus9, torch.from_numpy(__weights_dict['vargface_stage_3_unit_4_out_data_act']['weights']))
vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_4_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_5_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_5_sep1_data_conv2d_depthwise(vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_5_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_5_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_5_sep1_data_conv2d_pointwise(vargface_stage_3_unit_5_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_5_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_5_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_5_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_5_sep2_data_conv2d_depthwise(vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_5_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_5_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_5_sep2_data_conv2d_pointwise(vargface_stage_3_unit_5_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_5_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_5_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_5_sep2_data_conv2d_pointwise)
plus10 = vargface_stage_3_unit_5_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_4_out_data_act
vargface_stage_3_unit_5_out_data_act = F.prelu(plus10, torch.from_numpy(__weights_dict['vargface_stage_3_unit_5_out_data_act']['weights']))
vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_5_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_6_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_6_sep1_data_conv2d_depthwise(vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_6_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_6_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_6_sep1_data_conv2d_pointwise(vargface_stage_3_unit_6_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_6_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_6_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_6_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_6_sep2_data_conv2d_depthwise(vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_6_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_6_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_6_sep2_data_conv2d_pointwise(vargface_stage_3_unit_6_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_6_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_6_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_6_sep2_data_conv2d_pointwise)
plus11 = vargface_stage_3_unit_6_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_5_out_data_act
vargface_stage_3_unit_6_out_data_act = F.prelu(plus11, torch.from_numpy(__weights_dict['vargface_stage_3_unit_6_out_data_act']['weights']))
vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_6_out_data_act, (1, 1, 1, 1))
vargface_stage_3_unit_7_sep1_data_conv2d_depthwise = self.vargface_stage_3_unit_7_sep1_data_conv2d_depthwise(vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_pad)
vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_bn(vargface_stage_3_unit_7_sep1_data_conv2d_depthwise)
vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_7_sep1_data_conv2d_pointwise = self.vargface_stage_3_unit_7_sep1_data_conv2d_pointwise(vargface_stage_3_unit_7_sep1_data_conv2d_depthwise_act)
vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_bn(vargface_stage_3_unit_7_sep1_data_conv2d_pointwise)
vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_7_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_3_unit_7_sep2_data_conv2d_depthwise = self.vargface_stage_3_unit_7_sep2_data_conv2d_depthwise(vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_pad)
vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_bn = self.vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_bn(vargface_stage_3_unit_7_sep2_data_conv2d_depthwise)
vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_3_unit_7_sep2_data_conv2d_pointwise = self.vargface_stage_3_unit_7_sep2_data_conv2d_pointwise(vargface_stage_3_unit_7_sep2_data_conv2d_depthwise_act)
vargface_stage_3_unit_7_sep2_data_conv2d_pointwise_bn = self.vargface_stage_3_unit_7_sep2_data_conv2d_pointwise_bn(vargface_stage_3_unit_7_sep2_data_conv2d_pointwise)
plus12 = vargface_stage_3_unit_7_sep2_data_conv2d_pointwise_bn + vargface_stage_3_unit_6_out_data_act
vargface_stage_3_unit_7_out_data_act = F.prelu(plus12, torch.from_numpy(__weights_dict['vargface_stage_3_unit_7_out_data_act']['weights']))
vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_7_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise = self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise(vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_pad)
vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_7_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise = self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise(vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_pad)
vargface_stage_4_unit_1_shortcut_conv2d_depthwise_pad = F.pad(vargface_stage_3_unit_7_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_1_shortcut_conv2d_depthwise = self.vargface_stage_4_unit_1_shortcut_conv2d_depthwise(vargface_stage_4_unit_1_shortcut_conv2d_depthwise_pad)
vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_bn = self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_bn(vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise)
vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_bn = self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_bn(vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise)
vargface_stage_4_unit_1_shortcut_conv2d_depthwise_bn = self.vargface_stage_4_unit_1_shortcut_conv2d_depthwise_bn(vargface_stage_4_unit_1_shortcut_conv2d_depthwise)
vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_1_shortcut_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_1_shortcut_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_shortcut_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise = self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise(vargface_stage_4_unit_1_sep1_data_branch_conv2d_depthwise_act)
vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise = self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise(vargface_stage_4_unit_1_sep2_data_branch_conv2d_depthwise_act)
vargface_stage_4_unit_1_shortcut_conv2d_pointwise = self.vargface_stage_4_unit_1_shortcut_conv2d_pointwise(vargface_stage_4_unit_1_shortcut_conv2d_depthwise_act)
vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise_bn = self.vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise_bn(vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise)
vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise_bn = self.vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise_bn(vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise)
vargface_stage_4_unit_1_shortcut_conv2d_pointwise_bn = self.vargface_stage_4_unit_1_shortcut_conv2d_pointwise_bn(vargface_stage_4_unit_1_shortcut_conv2d_pointwise)
plus13 = vargface_stage_4_unit_1_sep1_data_branch_conv2d_pointwise_bn + vargface_stage_4_unit_1_sep2_data_branch_conv2d_pointwise_bn
vargface_stage_4_unit_1_sep1_data_act = F.prelu(plus13, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_sep1_data_act']['weights']))
vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_1_sep1_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_1_sep2_data_conv2d_depthwise = self.vargface_stage_4_unit_1_sep2_data_conv2d_depthwise(vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_pad)
vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_bn(vargface_stage_4_unit_1_sep2_data_conv2d_depthwise)
vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_1_sep2_data_conv2d_pointwise = self.vargface_stage_4_unit_1_sep2_data_conv2d_pointwise(vargface_stage_4_unit_1_sep2_data_conv2d_depthwise_act)
vargface_stage_4_unit_1_sep2_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_1_sep2_data_conv2d_pointwise_bn(vargface_stage_4_unit_1_sep2_data_conv2d_pointwise)
plus14 = vargface_stage_4_unit_1_sep2_data_conv2d_pointwise_bn + vargface_stage_4_unit_1_shortcut_conv2d_pointwise_bn
vargface_stage_4_unit_1_out_data_act = F.prelu(plus14, torch.from_numpy(__weights_dict['vargface_stage_4_unit_1_out_data_act']['weights']))
vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_1_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_2_sep1_data_conv2d_depthwise = self.vargface_stage_4_unit_2_sep1_data_conv2d_depthwise(vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_pad)
vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_bn(vargface_stage_4_unit_2_sep1_data_conv2d_depthwise)
vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_2_sep1_data_conv2d_pointwise = self.vargface_stage_4_unit_2_sep1_data_conv2d_pointwise(vargface_stage_4_unit_2_sep1_data_conv2d_depthwise_act)
vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_bn(vargface_stage_4_unit_2_sep1_data_conv2d_pointwise)
vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_2_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_4_unit_2_sep2_data_conv2d_depthwise = self.vargface_stage_4_unit_2_sep2_data_conv2d_depthwise(vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_pad)
vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_bn(vargface_stage_4_unit_2_sep2_data_conv2d_depthwise)
vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_2_sep2_data_conv2d_pointwise = self.vargface_stage_4_unit_2_sep2_data_conv2d_pointwise(vargface_stage_4_unit_2_sep2_data_conv2d_depthwise_act)
vargface_stage_4_unit_2_sep2_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_2_sep2_data_conv2d_pointwise_bn(vargface_stage_4_unit_2_sep2_data_conv2d_pointwise)
plus15 = vargface_stage_4_unit_2_sep2_data_conv2d_pointwise_bn + vargface_stage_4_unit_1_out_data_act
vargface_stage_4_unit_2_out_data_act = F.prelu(plus15, torch.from_numpy(__weights_dict['vargface_stage_4_unit_2_out_data_act']['weights']))
vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_2_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_3_sep1_data_conv2d_depthwise = self.vargface_stage_4_unit_3_sep1_data_conv2d_depthwise(vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_pad)
vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_bn(vargface_stage_4_unit_3_sep1_data_conv2d_depthwise)
vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_3_sep1_data_conv2d_pointwise = self.vargface_stage_4_unit_3_sep1_data_conv2d_pointwise(vargface_stage_4_unit_3_sep1_data_conv2d_depthwise_act)
vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_bn(vargface_stage_4_unit_3_sep1_data_conv2d_pointwise)
vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_3_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_4_unit_3_sep2_data_conv2d_depthwise = self.vargface_stage_4_unit_3_sep2_data_conv2d_depthwise(vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_pad)
vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_bn(vargface_stage_4_unit_3_sep2_data_conv2d_depthwise)
vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_3_sep2_data_conv2d_pointwise = self.vargface_stage_4_unit_3_sep2_data_conv2d_pointwise(vargface_stage_4_unit_3_sep2_data_conv2d_depthwise_act)
vargface_stage_4_unit_3_sep2_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_3_sep2_data_conv2d_pointwise_bn(vargface_stage_4_unit_3_sep2_data_conv2d_pointwise)
plus16 = vargface_stage_4_unit_3_sep2_data_conv2d_pointwise_bn + vargface_stage_4_unit_2_out_data_act
vargface_stage_4_unit_3_out_data_act = F.prelu(plus16, torch.from_numpy(__weights_dict['vargface_stage_4_unit_3_out_data_act']['weights']))
vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_3_out_data_act, (1, 1, 1, 1))
vargface_stage_4_unit_4_sep1_data_conv2d_depthwise = self.vargface_stage_4_unit_4_sep1_data_conv2d_depthwise(vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_pad)
vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_bn(vargface_stage_4_unit_4_sep1_data_conv2d_depthwise)
vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_4_sep1_data_conv2d_pointwise = self.vargface_stage_4_unit_4_sep1_data_conv2d_pointwise(vargface_stage_4_unit_4_sep1_data_conv2d_depthwise_act)
vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_bn(vargface_stage_4_unit_4_sep1_data_conv2d_pointwise)
vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_act = F.prelu(vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_act']['weights']))
vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_pad = F.pad(vargface_stage_4_unit_4_sep1_data_conv2d_pointwise_act, (1, 1, 1, 1))
vargface_stage_4_unit_4_sep2_data_conv2d_depthwise = self.vargface_stage_4_unit_4_sep2_data_conv2d_depthwise(vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_pad)
vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_bn = self.vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_bn(vargface_stage_4_unit_4_sep2_data_conv2d_depthwise)
vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_act = F.prelu(vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_bn, torch.from_numpy(__weights_dict['vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_act']['weights']))
vargface_stage_4_unit_4_sep2_data_conv2d_pointwise = self.vargface_stage_4_unit_4_sep2_data_conv2d_pointwise(vargface_stage_4_unit_4_sep2_data_conv2d_depthwise_act)
vargface_stage_4_unit_4_sep2_data_conv2d_pointwise_bn = self.vargface_stage_4_unit_4_sep2_data_conv2d_pointwise_bn(vargface_stage_4_unit_4_sep2_data_conv2d_pointwise)
plus17 = vargface_stage_4_unit_4_sep2_data_conv2d_pointwise_bn + vargface_stage_4_unit_3_out_data_act
vargface_stage_4_unit_4_out_data_act = F.prelu(plus17, torch.from_numpy(__weights_dict['vargface_stage_4_unit_4_out_data_act']['weights']))
embed_convx = self.embed_convx(vargface_stage_4_unit_4_out_data_act)
embed_convx_bn = self.embed_convx_bn(embed_convx)
embed_convx_act = F.prelu(embed_convx_bn, torch.from_numpy(__weights_dict['embed_convx_act']['weights']))
embed_convx_depthwise = self.embed_convx_depthwise(embed_convx_act)
embed_convx_depthwise_bn = self.embed_convx_depthwise_bn(embed_convx_depthwise)
embed_convx_pointwise = self.embed_convx_pointwise(embed_convx_depthwise_bn)
embed_convx_pointwise_bn = self.embed_convx_pointwise_bn(embed_convx_pointwise)
embed_convx_pointwise_act = F.prelu(embed_convx_pointwise_bn, torch.from_numpy(__weights_dict['embed_convx_pointwise_act']['weights']))
pre_fc1 = self.pre_fc1(embed_convx_pointwise_act.view(embed_convx_pointwise_act.size(0), -1))
fc1 = self.fc1(pre_fc1)
return fc1
@staticmethod
def __conv(dim, name, **kwargs):
if dim == 1: layer = nn.Conv1d(**kwargs)
elif dim == 2: layer = nn.Conv2d(**kwargs)
elif dim == 3: layer = nn.Conv3d(**kwargs)
else: raise NotImplementedError()
layer.state_dict()['weight'].copy_(torch.from_numpy(__weights_dict[name]['weights']))
if 'bias' in __weights_dict[name]:
layer.state_dict()['bias'].copy_(torch.from_numpy(__weights_dict[name]['bias']))
return layer
@staticmethod
def __batch_normalization(dim, name, **kwargs):
if dim == 0 or dim == 1: layer = nn.BatchNorm1d(**kwargs)
elif dim == 2: layer = nn.BatchNorm2d(**kwargs)
elif dim == 3: layer = nn.BatchNorm3d(**kwargs)
else: raise NotImplementedError()
if 'scale' in __weights_dict[name]:
layer.state_dict()['weight'].copy_(torch.from_numpy(__weights_dict[name]['scale']))
else:
layer.weight.data.fill_(1)
if 'bias' in __weights_dict[name]:
layer.state_dict()['bias'].copy_(torch.from_numpy(__weights_dict[name]['bias']))
else:
layer.bias.data.fill_(0)
layer.state_dict()['running_mean'].copy_(torch.from_numpy(__weights_dict[name]['mean']))
layer.state_dict()['running_var'].copy_(torch.from_numpy(__weights_dict[name]['var']))
return layer
@staticmethod
def __dense(name, **kwargs):
layer = nn.Linear(**kwargs)
layer.state_dict()['weight'].copy_(torch.from_numpy(__weights_dict[name]['weights']))
if 'bias' in __weights_dict[name]:
layer.state_dict()['bias'].copy_(torch.from_numpy(__weights_dict[name]['bias']))
return layer
| 168.882692 | 251 | 0.852162 | 14,212 | 87,819 | 4.563397 | 0.010273 | 0.190224 | 0.09714 | 0.124894 | 0.976393 | 0.968499 | 0.962285 | 0.957228 | 0.944291 | 0.918156 | 0 | 0.099801 | 0.079345 | 87,819 | 519 | 252 | 169.208092 | 0.702354 | 0 | 0 | 0.035928 | 0 | 0 | 0.137079 | 0.128903 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011976 | false | 0 | 0.00998 | 0 | 0.035928 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e58bd3f16eaafbc287b2f1d6c92f534d489e2eff | 6,887 | py | Python | QuantumInformation/RecurNum.py | pranay1990/QuantumInformation | 6588e623c3c4839e2b484a5ce57bb9aac9bb458c | [
"Unlicense"
] | null | null | null | QuantumInformation/RecurNum.py | pranay1990/QuantumInformation | 6588e623c3c4839e2b484a5ce57bb9aac9bb458c | [
"Unlicense"
] | null | null | null | QuantumInformation/RecurNum.py | pranay1990/QuantumInformation | 6588e623c3c4839e2b484a5ce57bb9aac9bb458c | [
"Unlicense"
] | null | null | null | """
Created on Mon Jul 15 18:26:57 2019
@authors: Dr. M. S. Ramkarthik and Dr. Pranay Barkataki
"""
def recur_comb_add(mylist,vec,icount,sum2):
lenvec=len(vec)
if icount<=lenvec-1:
for j in range(icount,lenvec):
sum3=sum2+vec[j]
sum3=int(sum3)
mylist.append(sum3)
recur_comb_add(mylist,vec,j+1,sum3)
if j==lenvec:
return()
if icount==lenvec:
return()
def RecurChainRL1(row,tot_spins,icount,mylist,shift):
len_row=len(row)
if icount<len_row:
for x in range(icount,len_row):
row2=row.copy()
if x>=0:
row2[x]=1
if shift==0:
y=0
if shift==1:
y=1
sumr=0
if shift==0:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0:
sumr=sumr+(2**y)
if row2[x1]==1:
sumr=sumr+(2**(y+1))
y=y+2
mylist.append(sumr)
if shift==1:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0 and x1==len_row-1:
sumr=sumr+(2**(tot_spins-1))
if row2[x1]==1 and x1==len_row-1:
sumr=sumr+1
if row2[x1]==0 and x1!=len_row-1:
sumr=sumr+(2**y)
y=y+2
if row2[x1]==1 and x1!=len_row-1:
sumr=sumr+(2**(y+1))
y=y+2
mylist.append(sumr)
if x<len_row-1 and x!=-1:
RecurChainRL1(row2,tot_spins,x+1,mylist,shift)
if x==len_row-1:
return()
if icount >= len_row:
return()
def RecurChainRL2(row,tot_spins,icount,mylist,shift):
len_row=len(row)
if icount<len_row:
for x in range(icount,len_row):
row2=row.copy()
if x>=0:
row2[x]=1
if shift==0:
y=0
if shift==1:
y=1
sumr=0
cntr=0
if shift==0:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0:
sumr=sumr+(2**y)
cntr=cntr+0
if row2[x1]==1:
sumr=sumr+(2**(y+1))
cntr=cntr+1
y=y+2
if cntr%2==0:
mylist.append(sumr)
if cntr%2==1:
mylist.append(-sumr)
if shift==1:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0 and x1==len_row-1:
sumr=sumr+(2**(tot_spins-1))
if row2[x1]==1 and x1==len_row-1:
sumr=sumr+1
cntr=cntr+1
if row2[x1]==0 and x1!=len_row-1:
sumr=sumr+(2**y)
y=y+2
if row2[x1]==1 and x1!=len_row-1:
sumr=sumr+(2**(y+1))
y=y+2
cntr=cntr+1
if cntr%2==0:
mylist.append(sumr)
#print(sumr)
if cntr%2!=0:
mylist.append(-sumr)
#print(sumr)
if x<len_row-1 and x!=-1:
RecurChainRL2(row2,tot_spins,x+1,mylist,shift)
if x==len_row-1:
return()
if icount >= len_row:
return()
def RecurChainRL3(row,tot_spins,icount,mylist,shift):
len_row=len(row)
if icount<len_row:
for x in range(icount,len_row):
row2=row.copy()
if x>=0:
row2[x]=1
if shift==0:
y=0
if shift==1:
y=1
sumr=0
if shift==0:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0:
sumr=sumr+0
if row2[x1]==1:
sumr=sumr+(2**y)+(2**(y+1))
y=y+2
mylist.append(sumr)
if shift==1:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0 and x1==len_row-1:
sumr=sumr+0
if row2[x1]==1 and x1==len_row-1:
sumr=sumr+1+(2**(tot_spins-1))
if row2[x1]==0 and x1!=len_row-1:
sumr=sumr+0
y=y+2
if row2[x1]==1 and x1!=len_row-1:
sumr=sumr+(2**(y+1))+(2**y)
y=y+2
mylist.append(sumr)
if x<len_row-1 and x!=-1:
RecurChainRL3(row2,tot_spins,x+1,mylist,shift)
if x==len_row-1:
return()
if icount >= len_row:
return()
def RecurChainRL4(row,tot_spins,icount,mylist,shift):
len_row=len(row)
if icount<len_row:
for x in range(icount,len_row):
row2=row.copy()
if x>=0:
row2[x]=1
if shift==0:
y=0
if shift==1:
y=1
sumr=0
cntr=0
if shift==0:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0:
sumr=sumr+0
cntr=cntr+0
if row2[x1]==1:
sumr=sumr+(2**y)+(2**(y+1))
cntr=cntr+1
y=y+2
if cntr%2==0:
mylist.append(sumr)
if cntr%2==1:
mylist.append(-sumr)
if shift==1:
for x1 in range(len_row-1,-1,-1):
if row2[x1]==0 and x1==len_row-1:
sumr=sumr+0
if row2[x1]==1 and x1==len_row-1:
sumr=sumr+1+(2**(tot_spins-1))
cntr=cntr+1
if row2[x1]==0 and x1!=len_row-1:
sumr=sumr+0
y=y+2
if row2[x1]==1 and x1!=len_row-1:
sumr=sumr+(2**(y+1))+(2**y)
y=y+2
cntr=cntr+1
if cntr%2==0:
mylist.append(sumr)
#print(sumr)
if cntr%2!=0:
mylist.append(-sumr)
#print(sumr)
if x<len_row-1 and x!=-1:
RecurChainRL4(row2,tot_spins,x+1,mylist,shift)
if x==len_row-1:
return()
if icount >= len_row:
return()
| 32.952153 | 62 | 0.37186 | 875 | 6,887 | 2.853714 | 0.062857 | 0.12495 | 0.089708 | 0.070485 | 0.872647 | 0.855827 | 0.855827 | 0.855827 | 0.855827 | 0.852623 | 0 | 0.090722 | 0.505445 | 6,887 | 208 | 63 | 33.110577 | 0.642396 | 0.019893 | 0 | 0.905263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0 | 0 | 0.026316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e5a43a458defd1bdceda52cfe49a90a95163d69c | 44,196 | py | Python | django_c3/tests.py | eclipseconsulting/Django-C3 | 9a8f0042cadb4664ebed536d96d3626ce40da328 | [
"BSD-3-Clause"
] | 7 | 2018-04-14T08:26:23.000Z | 2022-01-05T09:50:50.000Z | django_c3/tests.py | eclipseconsulting/Django-C3 | 9a8f0042cadb4664ebed536d96d3626ce40da328 | [
"BSD-3-Clause"
] | 1 | 2019-07-23T19:58:55.000Z | 2019-07-23T19:58:55.000Z | django_c3/tests.py | eclipseconsulting/Django-C3 | 9a8f0042cadb4664ebed536d96d3626ce40da328 | [
"BSD-3-Clause"
] | 2 | 2018-05-16T17:10:31.000Z | 2019-07-11T19:46:54.000Z | from django.test import SimpleTestCase
from django.template import Context, Template
###############################################################################
class DonutChartTest(SimpleTestCase):
def setUp(self):
self.chart_data = [
{'title': 'A', 'value': 6},
{'title': 'B', 'value': 10, 'color': 'red'},
{'title': 'C', 'value': 84},
]
self.context = Context({'pie_chart': self.chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'inner_title': 'my_inner_title',
'outer_title': 'my_outer_title',
'show_legend': False,
'height': 130,
'width': 120
}
self.template = (
'{%% load c3 %%}'
'{%% donut "%(bind_element)s" pie_chart '
'inner_title="%(inner_title)s" outer_title="%(outer_title)s" '
'show_legend=%(show_legend)s height=%(height)s '
'width=%(width)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'colors: {.*"B"\:.*"red"'
self.assertRegex(rendered_template, rgx)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"A\",\s+6\]')
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"B\",\s+10\]')
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"C\",\s+84\]')
def test_chart_inner_title(self):
self.tag_arguments['inner_title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'donut: { title: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_outer_title(self):
self.tag_arguments['outer_title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
###############################################################################
class PieChartTest(SimpleTestCase):
def setUp(self):
self.pie_chart_data = [
{'title': 'A', 'value': 6},
{'title': 'B', 'value': 10, 'color': 'red'},
{'title': 'C', 'value': 84},
]
self.context = Context({'pie_chart': self.pie_chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'title': 'pie-lchart',
'show_legend': False,
'height': 130,
'width': 120
}
self.template = (
'{%% load c3 %%}'
'{%% pie "%(bind_element)s" pie_chart title="%(title)s" '
'show_legend=%(show_legend)s height=%(height)s '
'width=%(width)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'colors: {.*"B"\:.*"red"'
self.assertRegex(rendered_template, rgx)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"A\",\s+6\]')
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"B\",\s+10\]')
self.assertRegex(rendered_template, r'columns\:\s+\[.*\[\"C\",\s+84\]')
def test_chart_title(self):
self.tag_arguments['title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
###############################################################################
class StepChartTest(SimpleTestCase):
def setUp(self):
self.step_chart_data = {
'x': ['2017-5-19', '2017-5-20', '2017-5-21', '2017-5-22'],
'horizontal_lines': [40],
# 'vertical_lines': [40],
'data': [
{'title': 'A', 'values': [26, 35, 52, 34, 45, 74],
'color': '#FF34FF'},
],
# 'groups': [('A',)]
}
self.context = Context({'step_chart': self.step_chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'title': 'step-chart',
'area': False,
'x_is_category': True,
'labels': False,
'vertical_grid_line': False,
'horizontal_grid_line': False,
'zoom': False,
'show_legend': False,
'group_tooltip': True,
'height': 130,
'width': 120
}
self.template = (
'{%% load c3 %%}'
'{%% step "%(bind_element)s" step_chart title="%(title)s" '
'area=%(area)s x_is_category=%(x_is_category)s '
'labels=%(labels)s vertical_grid_line=%(vertical_grid_line)s '
'horizontal_grid_line=%(horizontal_grid_line)s '
'show_legend=%(show_legend)s zoom=%(zoom)s '
'group_tooltip=%(group_tooltip)s '
'height=%(height)s width=%(width)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_chart_title(self):
self.tag_arguments['title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_area_true(self):
self.tag_arguments['area'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "area-step"'
self.assertRegex(rendered_template, rgx)
def test_chart_area_false(self):
self.tag_arguments['area'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "step"'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_true(self):
self.tag_arguments['labels'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : true'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_false(self):
self.tag_arguments['labels'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : false'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_true(self):
self.tag_arguments['vertical_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_false(self):
self.tag_arguments['vertical_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_true(self):
self.tag_arguments['horizontal_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_false(self):
self.tag_arguments['horizontal_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_true(self):
self.tag_arguments['zoom'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_false(self):
self.tag_arguments['zoom'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_true(self):
self.tag_arguments['group_tooltip'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_false(self):
self.tag_arguments['group_tooltip'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'"A": "#FF34FF",'
self.assertRegex(rendered_template, rgx)
def test_x_is_category(self):
self.tag_arguments['x_is_category'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
self.assertRaises(
ValueError, self.template_to_render.render, self.context)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertTrue('["A", 26,35,52,34,45,74]' in rendered_template)
self.assertRegex(
rendered_template, r'x: "2d2014226823e74c2accfcce8e0ca141",')
columns = (
'["2d2014226823e74c2accfcce8e0ca141", '
'\'2017-5-19\',\'2017-5-20\',\'2017-5-21\',\'2017-5-22\']'
)
self.assertTrue(columns in rendered_template)
###############################################################################
class LineXYChartTest(SimpleTestCase):
def setUp(self):
self.line_xy_chart_data = {
'horizontal_lines': [40],
'data': [
{'title': 'A',
'values': [(i, i*2) for i in range(3)], "color": "blue"},
],
# 'groups': [('A', 'B')]
}
self.context = Context({'line_xy_chart': self.line_xy_chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'title': 'step-chart',
'area': False,
'labels': False,
'vertical_grid_line': False,
'horizontal_grid_line': False,
'zoom': False,
'show_legend': False,
'group_tooltip': True,
'height': 130,
'width': 120,
'show_points': True,
'angle': True,
}
self.template = (
'{%% load c3 %%}'
'{%% line_xy "%(bind_element)s" '
'line_xy_chart title="%(title)s" '
'area=%(area)s '
'labels=%(labels)s vertical_grid_line=%(vertical_grid_line)s '
'horizontal_grid_line=%(horizontal_grid_line)s '
'show_legend=%(show_legend)s zoom=%(zoom)s '
'group_tooltip=%(group_tooltip)s '
'height=%(height)s width=%(width)s '
'show_points=%(show_points)s angle=%(angle)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_chart_title(self):
self.tag_arguments['title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_area_true(self):
self.tag_arguments['area'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "area"'
self.assertRegex(rendered_template, rgx)
def test_chart_area_false(self):
self.tag_arguments['area'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "line"'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_true(self):
self.tag_arguments['labels'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : true'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_false(self):
self.tag_arguments['labels'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : false'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_true(self):
self.tag_arguments['vertical_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_false(self):
self.tag_arguments['vertical_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_true(self):
self.tag_arguments['horizontal_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_false(self):
self.tag_arguments['horizontal_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_true(self):
self.tag_arguments['zoom'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_false(self):
self.tag_arguments['zoom'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_true(self):
self.tag_arguments['group_tooltip'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_false(self):
self.tag_arguments['group_tooltip'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_points_true(self):
self.tag_arguments['show_points'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'point: { show: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_points_false(self):
self.tag_arguments['show_points'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'point: { show: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_angle_true(self):
self.tag_arguments['angle'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "line"'
self.assertRegex(rendered_template, rgx)
def test_chart_angle_false(self):
self.tag_arguments['angle'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "spline"'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'colors: { "A": "blue", }'
self.assertRegex(rendered_template, rgx)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertTrue(
'columns: [ ["A", 0,2,4], ["A_x", 0,1,2], ]' in
rendered_template)
###############################################################################
class BarChartTest(SimpleTestCase):
def setUp(self):
self.bar_chart_data = {
'x': ['2017-5-19', '2017-5-20', '2017-5-21', '2017-5-22'],
'horizontal_lines': [40],
'data': [
{'title': 'A', 'values': [26, 5, 52, 74]},
{'title': 'B', 'values': [54, 21, 40, 26], 'color': 'red'},
{'title': 'C', 'values': [63, 14, 25, 11]},
],
# 'groups': [('B', 'C')]
}
self.context = Context({'bar_chart': self.bar_chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'title': 'step-chart',
'x_is_category': True,
'labels': False,
'vertical_grid_line': False,
'horizontal_grid_line': False,
'zoom': False,
'show_legend': False,
'group_tooltip': True,
'height': 130,
'width': 120,
'column_width': 35
}
self.template = (
'{%% load c3 %%}'
'{%% bar "%(bind_element)s" bar_chart title="%(title)s" '
'x_is_category=%(x_is_category)s '
'labels=%(labels)s vertical_grid_line=%(vertical_grid_line)s '
'horizontal_grid_line=%(horizontal_grid_line)s '
'show_legend=%(show_legend)s zoom=%(zoom)s '
'group_tooltip=%(group_tooltip)s '
'height=%(height)s width=%(width)s '
'column_width=%(column_width)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_chart_title(self):
self.tag_arguments['title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_true(self):
self.tag_arguments['labels'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : true'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_false(self):
self.tag_arguments['labels'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : false'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_true(self):
self.tag_arguments['vertical_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_false(self):
self.tag_arguments['vertical_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_true(self):
self.tag_arguments['horizontal_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_false(self):
self.tag_arguments['horizontal_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_true(self):
self.tag_arguments['zoom'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_false(self):
self.tag_arguments['zoom'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_true(self):
self.tag_arguments['group_tooltip'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_false(self):
self.tag_arguments['group_tooltip'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
def test_chart_column_width(self):
self.tag_arguments['column_width'] = 35
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'bar: { width: %s },' % self.tag_arguments['column_width']
self.assertRegex(rendered_template, rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'colors: { "B": "red", }'
self.assertRegex(rendered_template, rgx)
def test_x_is_category(self):
self.tag_arguments['x_is_category'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
self.assertRaises(
ValueError, self.template_to_render.render, self.context)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertTrue('["A", 26,5,52,74]' in rendered_template)
self.assertTrue('["B", 54,21,40,26]' in rendered_template)
self.assertTrue('["C", 63,14,25,11]' in rendered_template)
self.assertRegex(
rendered_template, r'x: "2d2014226823e74c2accfcce8e0ca141",')
columns = (
'["2d2014226823e74c2accfcce8e0ca141", '
'\'2017-5-19\',\'2017-5-20\',\'2017-5-21\',\'2017-5-22\']'
)
self.assertTrue(columns in rendered_template)
###############################################################################
class LineChartTest(SimpleTestCase):
def setUp(self):
self.line_chart_data = {
'x': ['2017-5-19', '2017-5-20', '2017-5-21', '2017-5-22'],
'horizontal_lines': [40],
'data': [
{'title': 'A', 'values': [26, 35, 52, 34, 45, 74]},
{'title': 'B', 'values': [54, 25, 52, 26, 20, 89],
'color': 'red'},
],
# 'groups': [('A', 'B')]
}
self.context = Context({'line_chart': self.line_chart_data})
self.tag_arguments = {
'bind_element': '#chart',
'title': 'step-chart',
'x_is_category': True,
'area': False,
'labels': False,
'vertical_grid_line': False,
'horizontal_grid_line': False,
'zoom': False,
'show_legend': False,
'group_tooltip': True,
'height': 130,
'width': 120,
'show_points': True,
'angle': True,
}
self.template = (
'{%% load c3 %%}'
'{%% line "%(bind_element)s" '
'line_chart title="%(title)s" '
'area=%(area)s x_is_category=%(x_is_category)s '
'labels=%(labels)s vertical_grid_line=%(vertical_grid_line)s '
'horizontal_grid_line=%(horizontal_grid_line)s '
'show_legend=%(show_legend)s zoom=%(zoom)s '
'group_tooltip=%(group_tooltip)s '
'height=%(height)s width=%(width)s '
'show_points=%(show_points)s angle=%(angle)s %%}'
)
def test_bind_element(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
bind_to_rgx = r'bindto:\s+"%s"' % self.tag_arguments['bind_element']
self.assertRegex(rendered_template, bind_to_rgx)
def test_chart_title(self):
self.tag_arguments['title'] = 'mytitle'
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'title: { text: "%s"}' % 'mytitle'
self.assertRegex(rendered_template, rgx)
def test_chart_area_true(self):
self.tag_arguments['area'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "area"'
self.assertRegex(rendered_template, rgx)
def test_chart_area_false(self):
self.tag_arguments['area'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "line"'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_true(self):
self.tag_arguments['labels'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : true'
self.assertRegex(rendered_template, rgx)
def test_chart_labels_false(self):
self.tag_arguments['labels'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'labels : false'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_true(self):
self.tag_arguments['show_legend'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: true }'
self.assertRegex(rendered_template, rgx)
def test_chart_legend_false(self):
self.tag_arguments['show_legend'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'legend: { show: false }'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_true(self):
self.tag_arguments['vertical_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_vertical_grid_line_false(self):
self.tag_arguments['vertical_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'x: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_true(self):
self.tag_arguments['horizontal_grid_line'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: true ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_horizontal_grid_line_false(self):
self.tag_arguments['horizontal_grid_line'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_true(self):
self.tag_arguments['zoom'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'zoom: { enabled: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_zoom_false(self):
self.tag_arguments['zoom'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'y: { show: false ,lines'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_true(self):
self.tag_arguments['group_tooltip'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_group_tooltip_false(self):
self.tag_arguments['group_tooltip'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'tooltip: { grouped: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_points_true(self):
self.tag_arguments['show_points'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'point: { show: true },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_points_false(self):
self.tag_arguments['show_points'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'point: { show: false },'
self.assertRegex(rendered_template, rgx)
def test_chart_show_angle_true(self):
self.tag_arguments['angle'] = True
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "line"'
self.assertRegex(rendered_template, rgx)
def test_chart_angle_false(self):
self.tag_arguments['angle'] = False
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'type : "spline"'
self.assertRegex(rendered_template, rgx)
def test_chart_height(self):
self.tag_arguments['height'] = 500
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: %s' % self.tag_arguments['height']
self.assertRegex(rendered_template, rgx)
def test_chart_width(self):
self.tag_arguments['width'] = 402
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'size: { height: 130, width: %s }' % self.tag_arguments['width']
self.assertRegex(rendered_template, rgx)
def test_colors(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
rgx = r'colors: { "B": "red", }'
self.assertRegex(rendered_template, rgx)
def test_data(self):
self.template_to_render = Template(self.template % self.tag_arguments)
rendered_template = self.template_to_render.render(self.context)
self.assertTrue('["A", 26,35,52,34,45,74]' in rendered_template)
self.assertTrue('["B", 54,25,52,26,20,89]' in rendered_template)
self.assertTrue(
('["2d2014226823e74c2accfcce8e0ca141",'
'\'2017-5-19\',\'2017-5-20\',\'2017-5-21\',\'2017-5-22\']') in
rendered_template)
| 44.778116 | 79 | 0.642117 | 5,259 | 44,196 | 5.121316 | 0.023769 | 0.144358 | 0.130101 | 0.157428 | 0.973972 | 0.958601 | 0.955259 | 0.950915 | 0.946683 | 0.944678 | 0 | 0.015344 | 0.228754 | 44,196 | 986 | 80 | 44.823529 | 0.774805 | 0.002512 | 0 | 0.896635 | 0 | 0.001202 | 0.151886 | 0.028116 | 0 | 0 | 0 | 0 | 0.141827 | 1 | 0.134615 | false | 0 | 0.002404 | 0 | 0.144231 | 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 |
e5eb82f32b9f10ea4466b87befd45af6e9400d3d | 4,554 | py | Python | libs/loss.py | james20141606/membrane_prediction | aed9627145e612f80339a1521c305a746f707fe6 | [
"MIT"
] | null | null | null | libs/loss.py | james20141606/membrane_prediction | aed9627145e612f80339a1521c305a746f707fe6 | [
"MIT"
] | null | null | null | libs/loss.py | james20141606/membrane_prediction | aed9627145e612f80339a1521c305a746f707fe6 | [
"MIT"
] | null | null | null | from __future__ import print_function, division
from torch.nn.modules.loss import _assert_no_grad, _Loss
import torch.nn.functional as F
import torch
# define a customized loss function for future development
class WeightedBCELoss(_Loss):
def __init__(self, size_average=True, reduce=True):
super(WeightedBCELoss, self).__init__(size_average, reduce)
def forward(self, input, target, weight):
_assert_no_grad(target)
return F.binary_cross_entropy(input, target, weight, self.size_average,
self.reduce)
# Weighted binary cross entropy + Dice loss
class BCLoss(_Loss):
def __init__(self, size_average=True, reduce=True):
super(BCLoss, self).__init__(size_average, reduce)
def dice_loss(self, input, target):
smooth = 1.
loss = 0.
for index in range(input.size()[0]):
iflat = input[index].view(-1)
tflat = target[index].view(-1)
intersection = (iflat * tflat).sum()
loss += 1 - ((2. * intersection + smooth) / (iflat.sum() + tflat.sum() + smooth))
# size_average=True for the dice loss
return loss / float(input.size()[0])
def forward(self, input, target, weight):
_assert_no_grad(target)
"""
Weighted binary classification loss + Dice coefficient loss
"""
loss1 = F.binary_cross_entropy(input, target, weight, self.size_average,
self.reduce)
loss2 = self.dice_loss(input, target)
return loss1, loss2
# Focal Loss
class FocalLoss(_Loss):
def __init__(self, size_average=True, reduce=True):
super().__init__(size_average, reduce)
def focal_loss(self, input, target, weight):
gamma = 2
eps = 1e-7
loss = 0.
for index in range(input.size()[0]):
iflat = input[index].view(-1)
tflat = target[index].view(-1)
wflat = weight[index].view(-1)
iflat = iflat.clamp(eps, 1.0 - eps)
fc_loss_pos = -1 * tflat * torch.log(iflat) * (1 - iflat) ** gamma
fc_loss_neg = -1 * (1-tflat) * torch.log(1 - iflat) * (iflat) ** gamma
fc_loss = fc_loss_pos + fc_loss_neg
fc_loss = fc_loss * wflat # weighted focal loss
loss += fc_loss.mean()
return loss / float(input.size()[0])
def forward(self, input, target, weight):
_assert_no_grad(target)
"""
Weighted Focal Loss
"""
if not (target.size() == input.size()):
raise ValueError("Target size ({}) must be the same as input size ({})".format(target.size(), input.size()))
loss = self.focal_loss(input, target, weight)
return loss
# Focal Loss + Dice Loss
class BCLoss_focal(_Loss):
def __init__(self, size_average=True, reduce=True):
super().__init__(size_average, reduce)
def dice_loss(self, input, target):
smooth = 1.
loss = 0.
for index in range(input.size()[0]):
iflat = input[index].view(-1)
tflat = target[index].view(-1)
intersection = (iflat * tflat).sum()
loss += 1 - ((2. * intersection + smooth) / (iflat.sum() + tflat.sum() + smooth))
# size_average=True for the dice loss
return loss / float(input.size()[0])
def focal_loss(self, input, target, weight):
gamma = 2
eps = 1e-7
loss = 0.
for index in range(input.size()[0]):
iflat = input[index].view(-1)
tflat = target[index].view(-1)
wflat = weight[index].view(-1)
iflat = iflat.clamp(eps, 1.0 - eps)
fc_loss_pos = -1 * tflat * torch.log(iflat) * (1 - iflat) ** gamma
fc_loss_neg = -1 * (1-tflat) * torch.log(1 - iflat) * (iflat) ** gamma
fc_loss = fc_loss_pos + fc_loss_neg
fc_loss = fc_loss * wflat # weighted focal loss
loss += fc_loss.mean()
return loss / float(input.size()[0])
def forward(self, input, target, weight):
_assert_no_grad(target)
"""
Weighted binary classification loss + Dice coefficient loss
"""
if not (target.size() == input.size()):
raise ValueError("Target size ({}) must be the same as input size ({})".format(target.size(), input.size()))
loss1 = self.focal_loss(input, target, weight)
loss2 = self.dice_loss(input, target)
return loss1, loss2 | 34.5 | 120 | 0.577075 | 566 | 4,554 | 4.45583 | 0.14311 | 0.038065 | 0.067407 | 0.04996 | 0.8636 | 0.8636 | 0.828311 | 0.828311 | 0.828311 | 0.793418 | 0 | 0.017533 | 0.298639 | 4,554 | 132 | 121 | 34.5 | 0.772073 | 0.053579 | 0 | 0.827586 | 0 | 0 | 0.025409 | 0 | 0 | 0 | 0 | 0 | 0.057471 | 1 | 0.137931 | false | 0 | 0.045977 | 0 | 0.321839 | 0.011494 | 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 |
e5fe74a345140265f1cd7b5e289f7f58717a83a1 | 12 | py | Python | _draft/answers/x_9_6.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | null | null | null | _draft/answers/x_9_6.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | 1 | 2021-11-13T08:03:04.000Z | 2021-11-13T08:03:04.000Z | _draft/answers/x_9_6.py | ofl/kuku2 | 7247fb1862d917d23258ebe7a93dca5939433225 | [
"MIT"
] | null | null | null | # x_9_6
#
#
| 3 | 7 | 0.416667 | 3 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0.333333 | 12 | 3 | 8 | 4 | 0.125 | 0.416667 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f91b65408b4d4cc541329de17ba3022dbd686633 | 3,663 | py | Python | plotting.py | shutingli/StarLWebInterface | c65530ece7b1ee6b0086c0788b9d7710e36098af | [
"BSD-3-Clause"
] | null | null | null | plotting.py | shutingli/StarLWebInterface | c65530ece7b1ee6b0086c0788b9d7710e36098af | [
"BSD-3-Clause"
] | null | null | null | plotting.py | shutingli/StarLWebInterface | c65530ece7b1ee6b0086c0788b9d7710e36098af | [
"BSD-3-Clause"
] | null | null | null | import os
from sys import argv
def writePlot( filename ,robotnum, robotID, mode):
writeFile = open(filename +".gy", "wb")
writeFile.write( "set term png\n")
writeFile.write( "set output 'output.png'\n")
writeFile.write("set style line 1 lc rgb '#0060ad' lt 1 lw 2 pt 2 ps 1.5 # --- blue\n")
writeFile.write("set style line 2 lc rgb '#dd181f' lt 1 lw 2 pt 2 ps 1.5 # --- red\n")
writeFile.write("set style line 3 lc rgb '#00ff80' lt 1 lw 2 pt 2 ps 1.5 # --- green\n")
writeFile.write("set style line 4 lc rgb '#80ff00' lt 1 lw 2 pt 2 ps 1.5 # --- green\n")
robotID = int(robotID)
robotnum = int(robotnum)
if int(mode) == 1:
writeFile.write( "set xlabel 't (ms)'\n")
writeFile.write( "set ylabel 'X (mm)'\n")
writeFile.write( "set title ' "+filename+" x vs t '\n")
tmp = robotID
if robotnum ==1:
writeFile.write( "plot '"+filename+str(robotID)+".dat' using 1:2 title 'robot" +str(robotID)+ "' with l ls "+str(robotID)+"\n")
writeFile.close()
return;
newID = 1
for i in range(robotnum):
while int(tmp) % 2 ==0:
tmp = tmp/2
newID=newID+1
if i == 0:
writeFile.write( "plot '"+filename+str(newID)+".dat' using 1:2 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
elif i == robotnum-1:
writeFile.write( " '"+filename+str(newID)+".dat' using 1:2 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+" \n")
else:
writeFile.write( " '"+filename+str(newID)+".dat' using 1:2 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
tmp = tmp/2
newID = newID+1
if int(mode)== 2:
writeFile.write( "set xlabel 't (ms)'\n")
writeFile.write( "set ylabel 'Y (mm)'\n")
writeFile.write( "set title ' "+filename+" y vs t '\n")
tmp = robotID
if robotnum ==1:
writeFile.write( "plot '"+filename+str(robotID)+".dat' using 1:3 title 'robot" +str(robotID)+ "' with l ls "+str(robotID)+"\n")
writeFile.close()
return;
newID = 1
for i in range(robotnum):
while int(tmp) % 2 ==0:
tmp = tmp/2
newID=newID+1
if i == 0:
writeFile.write( "plot '"+filename+str(newID)+".dat' using 1:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
elif i == robotnum-1:
writeFile.write( " '"+filename+str(newID)+".dat' using 1:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+" \n")
else:
writeFile.write( " '"+filename+str(newID)+".dat' using 1:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
tmp = tmp/2
newID = newID+1
if int(mode)== 3:
writeFile.write( "set xlabel 'Y (ms)'\n")
writeFile.write( "set ylabel 'X (mm)'\n")
writeFile.write( "set title ' "+filename+" y vs x '\n")
tmp = robotID
if robotnum ==1:
writeFile.write( "plot '"+filename+str(robotID)+".dat' using 2:3 title 'robot" +str(robotID)+ "' with l ls "+str(robotID)+"\n")
writeFile.close()
return;
newID = 1
for i in range(robotnum):
while int(tmp) % 2 ==0:
tmp = tmp/2
newID=newID+1
if i == 0:
writeFile.write( "plot '"+filename+str(newID)+".dat' using 2:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
elif i == robotnum-1:
writeFile.write( " '"+filename+str(newID)+".dat' using 2:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+" \n")
else:
writeFile.write( " '"+filename+str(newID)+".dat' using 2:3 title 'robot" +str(newID)+ "' with l ls "+str(i+1)+", \\")
writeFile.write("\n")
tmp = tmp/2
newID = newID+1
writeFile.close()
print "success"
writePlot(argv[1],argv[2],argv[3],argv[4])
os.system("gnuplot "+argv[1]+".gy")
| 40.7 | 130 | 0.595141 | 591 | 3,663 | 3.688663 | 0.128596 | 0.211927 | 0.116972 | 0.055046 | 0.849083 | 0.838073 | 0.788991 | 0.788073 | 0.788073 | 0.759174 | 0 | 0.037351 | 0.196014 | 3,663 | 89 | 131 | 41.157303 | 0.702886 | 0 | 0 | 0.602273 | 0 | 0.045455 | 0.311493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.022727 | null | null | 0.011364 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
00c4b307b8474d9233ea6c44d4101e02f9278c76 | 203 | py | Python | sfaira/data/dataloaders/databases/cellxgene/__init__.py | johnmous/sfaira | c50240a74530e614ab7681bf9c63b04cb815b361 | [
"BSD-3-Clause"
] | 110 | 2020-09-08T07:47:15.000Z | 2022-03-29T03:33:56.000Z | sfaira/data/dataloaders/databases/cellxgene/__init__.py | johnmous/sfaira | c50240a74530e614ab7681bf9c63b04cb815b361 | [
"BSD-3-Clause"
] | 405 | 2020-09-15T15:05:46.000Z | 2022-03-16T14:44:23.000Z | sfaira/data/dataloaders/databases/cellxgene/__init__.py | johnmous/sfaira | c50240a74530e614ab7681bf9c63b04cb815b361 | [
"BSD-3-Clause"
] | 20 | 2021-03-30T15:30:14.000Z | 2022-03-07T12:52:58.000Z | from sfaira.data.dataloaders.databases.cellxgene.cellxgene_group import DatasetSuperGroupCellxgene, DatasetGroupCellxgene
from sfaira.data.dataloaders.databases.cellxgene.cellxgene_loader import Dataset
| 67.666667 | 121 | 0.901478 | 21 | 203 | 8.619048 | 0.571429 | 0.110497 | 0.154696 | 0.276243 | 0.574586 | 0.574586 | 0.574586 | 0 | 0 | 0 | 0 | 0 | 0.044335 | 203 | 2 | 122 | 101.5 | 0.93299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
00d98ba5128787589ffde6e456183c3d87761aaa | 14,478 | py | Python | pyvisdk/mo/storage_resource_manager.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/mo/storage_resource_manager.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/mo/storage_resource_manager.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null |
from pyvisdk.base.managed_object_types import ManagedObjectTypes
from pyvisdk.base.base_entity import BaseEntity
import logging
########################################
# Automatically generated, do not edit.
########################################
log = logging.getLogger(__name__)
class StorageResourceManager(BaseEntity):
'''This managed object type provides a way to configure resource usage for storage
resources.'''
def __init__(self, core, name=None, ref=None, type=ManagedObjectTypes.StorageResourceManager):
super(StorageResourceManager, self).__init__(core, name=name, ref=ref, type=type)
def ApplyStorageDrsRecommendation_Task(self, key):
'''Applies a recommendation from the recommendation list. Each recommendation can
be applied only once. In the case of CreateVm and CloneVm a VirtualMachine is
returned. Other workflows don't have a return value.Applies a recommendation
from the recommendation list. Each recommendation can be applied only once. In
the case of CreateVm and CloneVm a VirtualMachine is returned. Other workflows
don't have a return value.Applies a recommendation from the recommendation
list. Each recommendation can be applied only once. In the case of CreateVm and
CloneVm a VirtualMachine is returned. Other workflows don't have a return
value.
:param key: The key fields of the Recommendations that are applied.
'''
return self.delegate("ApplyStorageDrsRecommendation_Task")(key)
def ApplyStorageDrsRecommendationToPod_Task(self, pod, key):
'''Applies a recommendation from the recommendation list. Each recommendation can
be applied only once.Applies a recommendation from the recommendation list.
Each recommendation can be applied only once.
:param pod: The storage pod.
:param key: The key field of the Recommendation.
'''
return self.delegate("ApplyStorageDrsRecommendationToPod_Task")(pod, key)
def CancelStorageDrsRecommendation(self, key):
'''Cancels a recommendation. Currently only initial placement recommendations can
be cancelled. Migration recommendations cannot.
:param key: The key field of the Recommendation.
'''
return self.delegate("CancelStorageDrsRecommendation")(key)
def ConfigureDatastoreIORM_Task(self, datastore, spec):
'''Changes configuration of storage I/O resource management for a given datastore.
The changes are applied to all the backing storage devices for the datastore.
Currently we only support storage I/O resource management on VMFS volumes. In
order to enable storage I/O resource management on a datstore, we require that
all the hosts that are attached to the datastore support this feature.Changes
configuration of storage I/O resource management for a given datastore. The
changes are applied to all the backing storage devices for the datastore.
Currently we only support storage I/O resource management on VMFS volumes. In
order to enable storage I/O resource management on a datstore, we require that
all the hosts that are attached to the datastore support this feature.
:param datastore: The datastore to be configured.
:param spec: The configuration spec.
'''
return self.delegate("ConfigureDatastoreIORM_Task")(datastore, spec)
def ConfigureStorageDrsForPod_Task(self, pod, spec, modify):
'''Change the storage DRS configuration for a pod StoragePod.
:param pod: The storage pod.
:param spec: A set of storage Drs configuration changes to apply to the storage pod. The specification can be a complete set of changes or a partial set of changes, applied incrementally.
:param modify: Flag to specify whether the specification ("spec") should be applied incrementally. If "modify" is false and the operation succeeds, then the configuration of the storage pod matches the specification exactly; in this case any unset portions of the specification will result in unset or default portions of the configuration.
'''
return self.delegate("ConfigureStorageDrsForPod_Task")(pod, spec, modify)
def QueryIORMConfigOption(self, host):
'''Query configuration options for storage I/O resource management.
:param host: [in] - The host VC will forward the query to. This parameter is ignored by host if this method is called on a host directly.
'''
return self.delegate("QueryIORMConfigOption")(host)
def RecommendDatastores(self, storageSpec):
'''This method returns a StoragePlacementResult object. This API is intended to
replace the following existing APIs for SDRS-enabled pods: CreateVm:
StoragePlacementSpec::type == create = CreateVM_Task AddDisk:
StoragePlacementSpec::type == reconfigure = ReconfigVM_Task RelocateVm:
StoragePlacementSpec::type == relocate = RelocateVM_Task CloneVm:
StoragePlacementSpec::type == clone = CloneVM_Task The PodSelectionSpec
parameter in StoragePlacementSpec is required for all workflows. It specifies
which SDRS-enabled pod the user has selected for the VM and/or for each disk.
For CreateVm, RelocateVm and CloneVm, PodSelectionSpec.storagePod is the user
selected SDRS pod for the VM, i.e., its system files. For all workflows,
PodSelectionSpec.disk.storagePod is the user selected SDRS pod for the given
disk. Note that a DiskLocator must be specified for each disk that the user
requests to create, migrate or clone into an SDRS pod, even if it's the same
pod as the VM or the user has manually selected a datastore within the pod. If
the user has manually selected a datastore, the datastore must be specified in
the workflow specific fields as described below. For CreateVm and AddDisk, the
manually selected datastore must be specified in ConfigSpec.files or
ConfigSpec.deviceChange.device.backing.datastore, the fields should will be
unset if the user wants SDRS to recommend the datastore. For RelocateVm, the
manually selected datastore must be specified in RelocateSpec.datastore or
RelocateSpec.disk.datastore; the fields should be unset iff the user wants SDRS
recommendations. For CloneVm, the manually selected datastore must be specified
in CloneSpec.location.datastore or CloneSpec.location.disk[].datastore; the
fields should be unset iff the user wants SDRS recommendations. The remaining
expected input parameters in StoragePlacementSpec will be the same as those for
the existing API as determined by StoragePlacementSpec::type. If a parameter is
optional in the existing API, it will also be optional in the new API.This
method returns a StoragePlacementResult object. This API is intended to replace
the following existing APIs for SDRS-enabled pods: CreateVm:
StoragePlacementSpec::type == create = CreateVM_Task AddDisk:
StoragePlacementSpec::type == reconfigure = ReconfigVM_Task RelocateVm:
StoragePlacementSpec::type == relocate = RelocateVM_Task CloneVm:
StoragePlacementSpec::type == clone = CloneVM_Task The PodSelectionSpec
parameter in StoragePlacementSpec is required for all workflows. It specifies
which SDRS-enabled pod the user has selected for the VM and/or for each disk.
For CreateVm, RelocateVm and CloneVm, PodSelectionSpec.storagePod is the user
selected SDRS pod for the VM, i.e., its system files. For all workflows,
PodSelectionSpec.disk.storagePod is the user selected SDRS pod for the given
disk. Note that a DiskLocator must be specified for each disk that the user
requests to create, migrate or clone into an SDRS pod, even if it's the same
pod as the VM or the user has manually selected a datastore within the pod. If
the user has manually selected a datastore, the datastore must be specified in
the workflow specific fields as described below. For CreateVm and AddDisk, the
manually selected datastore must be specified in ConfigSpec.files or
ConfigSpec.deviceChange.device.backing.datastore, the fields should will be
unset if the user wants SDRS to recommend the datastore. For RelocateVm, the
manually selected datastore must be specified in RelocateSpec.datastore or
RelocateSpec.disk.datastore; the fields should be unset iff the user wants SDRS
recommendations. For CloneVm, the manually selected datastore must be specified
in CloneSpec.location.datastore or CloneSpec.location.disk[].datastore; the
fields should be unset iff the user wants SDRS recommendations. The remaining
expected input parameters in StoragePlacementSpec will be the same as those for
the existing API as determined by StoragePlacementSpec::type. If a parameter is
optional in the existing API, it will also be optional in the new API.This
method returns a StoragePlacementResult object. This API is intended to replace
the following existing APIs for SDRS-enabled pods: CreateVm:
StoragePlacementSpec::type == create = CreateVM_Task AddDisk:
StoragePlacementSpec::type == reconfigure = ReconfigVM_Task RelocateVm:
StoragePlacementSpec::type == relocate = RelocateVM_Task CloneVm:
StoragePlacementSpec::type == clone = CloneVM_Task The PodSelectionSpec
parameter in StoragePlacementSpec is required for all workflows. It specifies
which SDRS-enabled pod the user has selected for the VM and/or for each disk.
For CreateVm, RelocateVm and CloneVm, PodSelectionSpec.storagePod is the user
selected SDRS pod for the VM, i.e., its system files. For all workflows,
PodSelectionSpec.disk.storagePod is the user selected SDRS pod for the given
disk. Note that a DiskLocator must be specified for each disk that the user
requests to create, migrate or clone into an SDRS pod, even if it's the same
pod as the VM or the user has manually selected a datastore within the pod. If
the user has manually selected a datastore, the datastore must be specified in
the workflow specific fields as described below. For CreateVm and AddDisk, the
manually selected datastore must be specified in ConfigSpec.files or
ConfigSpec.deviceChange.device.backing.datastore, the fields should will be
unset if the user wants SDRS to recommend the datastore. For RelocateVm, the
manually selected datastore must be specified in RelocateSpec.datastore or
RelocateSpec.disk.datastore; the fields should be unset iff the user wants SDRS
recommendations. For CloneVm, the manually selected datastore must be specified
in CloneSpec.location.datastore or CloneSpec.location.disk[].datastore; the
fields should be unset iff the user wants SDRS recommendations. The remaining
expected input parameters in StoragePlacementSpec will be the same as those for
the existing API as determined by StoragePlacementSpec::type. If a parameter is
optional in the existing API, it will also be optional in the new API.This
method returns a StoragePlacementResult object. This API is intended to replace
the following existing APIs for SDRS-enabled pods: CreateVm:
StoragePlacementSpec::type == create = CreateVM_Task AddDisk:
StoragePlacementSpec::type == reconfigure = ReconfigVM_Task RelocateVm:
StoragePlacementSpec::type == relocate = RelocateVM_Task CloneVm:
StoragePlacementSpec::type == clone = CloneVM_Task The PodSelectionSpec
parameter in StoragePlacementSpec is required for all workflows. It specifies
which SDRS-enabled pod the user has selected for the VM and/or for each disk.
For CreateVm, RelocateVm and CloneVm, PodSelectionSpec.storagePod is the user
selected SDRS pod for the VM, i.e., its system files. For all workflows,
PodSelectionSpec.disk.storagePod is the user selected SDRS pod for the given
disk. Note that a DiskLocator must be specified for each disk that the user
requests to create, migrate or clone into an SDRS pod, even if it's the same
pod as the VM or the user has manually selected a datastore within the pod. If
the user has manually selected a datastore, the datastore must be specified in
the workflow specific fields as described below. For CreateVm and AddDisk, the
manually selected datastore must be specified in ConfigSpec.files or
ConfigSpec.deviceChange.device.backing.datastore, the fields should will be
unset if the user wants SDRS to recommend the datastore. For RelocateVm, the
manually selected datastore must be specified in RelocateSpec.datastore or
RelocateSpec.disk.datastore; the fields should be unset iff the user wants SDRS
recommendations. For CloneVm, the manually selected datastore must be specified
in CloneSpec.location.datastore or CloneSpec.location.disk[].datastore; the
fields should be unset iff the user wants SDRS recommendations. The remaining
expected input parameters in StoragePlacementSpec will be the same as those for
the existing API as determined by StoragePlacementSpec::type. If a parameter is
optional in the existing API, it will also be optional in the new API.
:param storageSpec:
'''
return self.delegate("RecommendDatastores")(storageSpec)
def RefreshStorageDrsRecommendation(self, pod):
'''Make Storage DRS invoke again on the specified pod StoragePod and return a new
list of recommendations. Concurrent "refresh" requests may be combined together
and trigger only one Storage DRS invocation.
:param pod: The storage pod. The recommendations generated is stored at PodStorageDrsEntry#recommendation.
'''
return self.delegate("RefreshStorageDrsRecommendation")(pod) | 64.633929 | 348 | 0.723857 | 1,864 | 14,478 | 5.601395 | 0.127682 | 0.024136 | 0.028733 | 0.036778 | 0.786515 | 0.781917 | 0.777416 | 0.777416 | 0.777416 | 0.777416 | 0 | 0 | 0.229383 | 14,478 | 224 | 349 | 64.633929 | 0.935825 | 0.789819 | 0 | 0 | 1 | 0 | 0.149515 | 0.137217 | 0 | 0 | 0 | 0 | 0 | 1 | 0.391304 | false | 0 | 0.130435 | 0 | 0.913043 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
970fb8804146ef0abbb40f00a0ed87eef6d6abc0 | 12,851 | py | Python | tests/unit_tests/test_vmedia.py | ecoen66/imcsdk | b10eaa926a5ee57cea7182ae0adc8dd1c818b0ab | [
"Apache-2.0"
] | 31 | 2016-06-14T07:23:59.000Z | 2021-09-12T17:17:26.000Z | tests/unit_tests/test_vmedia.py | sthagen/imcsdk | 1831eaecb5960ca03a8624b1579521749762b932 | [
"Apache-2.0"
] | 109 | 2016-05-25T03:56:56.000Z | 2021-10-18T02:58:12.000Z | tests/unit_tests/test_vmedia.py | sthagen/imcsdk | 1831eaecb5960ca03a8624b1579521749762b932 | [
"Apache-2.0"
] | 67 | 2016-05-17T05:53:56.000Z | 2022-03-24T15:52:53.000Z | # Copyright 2016 Cisco Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from mock import patch, call, MagicMock
from nose.tools import assert_raises
from imcsdk.imchandle import ImcHandle
from imcsdk.imcexception import ImcOperationError
from imcsdk.mometa.comm.CommVMediaMap import CommVMediaMap
from imcsdk.apis.server.vmedia import vmedia_mount_iso_uri, \
vmedia_mount_remove_all, \
vmedia_get_existing_uri, \
vmedia_get_existing_status
from imcsdk.imccoreutils import IMC_PLATFORM
@patch.object(ImcHandle, 'query_children')
@patch.object(ImcHandle, 'login')
def test_vmedia_get_existing_uri(login_mock, query_mock):
# Patch ImcHandle.login to create a Faux ImcHandle w/o real CIMC
# Patch ImcHandle.query_children to simulate CIMC interaction
login_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# Scenario: No pre-existing mappings
query_mock.return_value = []
assert vmedia_get_existing_uri(test_cimc) == []
# Assert query_children called with correct in_dn
assert query_mock.mock_calls[0] == \
call(in_dn='sys/svc-ext/vmedia-svc')
# Scenario: Three pre-existing mappings
vmedia1 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="One.iso")
vmedia1.remote_share = "http://169.254.1.2/"
vmedia1.remote_file = "One.iso"
vmedia2 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Two")
vmedia2.remote_share = "http://169.254.1.2/"
vmedia2.remote_file = "Two.iso"
vmedia3 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Three")
vmedia3.remote_share = "http://169.254.1.2/"
vmedia3.remote_file = "Three.iso"
query_mock.return_value = [vmedia1, vmedia2, vmedia3]
assert vmedia_get_existing_uri(test_cimc) == \
["http://169.254.1.2/One.iso",
"http://169.254.1.2/Two.iso",
"http://169.254.1.2/Three.iso"]
@patch.object(ImcHandle, 'query_children')
@patch.object(ImcHandle, 'login')
def test_vmedia_get_existing_status(login_mock, query_mock):
# Patch ImcHandle.login to create a Faux ImcHandle w/o real CIMC
# Patch ImcHandle.query_children to simulate CIMC interaction
login_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# Scenario: No pre-existing mappings
query_mock.return_value = []
assert vmedia_get_existing_status(test_cimc) == []
# Assert query_children called with correct in_dn
assert query_mock.mock_calls[0] == \
call(in_dn='sys/svc-ext/vmedia-svc')
# Scenario: Three pre-existing mappings
# mapping_status is not a read-write property, so mock it.
vmedia1 = MagicMock()
vmedia1.mapping_status = "In-Progress"
vmedia2 = MagicMock()
vmedia2.mapping_status = "OK"
vmedia3 = MagicMock()
vmedia3.mapping_status = "Error"
query_mock.return_value = [vmedia1, vmedia2, vmedia3]
assert vmedia_get_existing_status(test_cimc) == \
["In-Progress", "OK", "Error"]
@patch('imcsdk.apis.server.vmedia.vmedia_get_existing_status')
@patch('imcsdk.apis.server.vmedia.vmedia_get_existing_uri')
@patch('imcsdk.apis.server.vmedia.vmedia_mount_create')
@patch.object(ImcHandle, 'login')
def test_valid_vmedia_mount_iso_uri(login_mock, add_mount_mock,
exist_mock, state_mock):
# Patch ImcHandle.login to create a Faux ImcHandle object w/o real CIMC
# Patch vmedia_mount_create to simulate CIMC interaction w/o real CIMC
# Patch vmedia_get_existing_uri to simulate existing ISOs
# Patch vmedia_get_existing_status to simulate ISO status
login_mock.return_value = True
add_mount_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# http mapping succeeded
exist_mock.return_value = ["http://169.254.1.2/test.iso"]
state_mock.side_effect = [['In Progress'], ['OK']]
assert vmedia_mount_iso_uri(
test_cimc,
'http://169.254.1.2/test.iso',
interval=1
) is True
# Assert values of the mount options
assert add_mount_mock.call_args[1] == {
'volume_name': 'test.iso',
'map': 'www',
'mount_options': 'noauto',
'remote_share': "http://169.254.1.2/",
'remote_file': 'test.iso',
'username': '',
'password': '',
'server_id': 1
}
# https mapping succeeded
exist_mock.return_value = ["https://169.254.1.2/test.iso"]
state_mock.side_effect = [['In Progress'], ['OK']]
assert vmedia_mount_iso_uri(
test_cimc,
'https://169.254.1.2/test.iso',
interval=1
) is True
# Assert values of the mount options
assert add_mount_mock.call_args[1] == {
'volume_name': 'test.iso',
'mount_options': 'noauto',
'map': 'www',
'remote_share': "https://169.254.1.2/",
'remote_file': 'test.iso',
'username': '',
'password': '',
'server_id': 1
}
# CIFS mapping succeeded
exist_mock.return_value = ["//169.254.1.2/test.iso"]
state_mock.side_effect = [['In Progress'], ['OK']]
assert vmedia_mount_iso_uri(
test_cimc,
'//169.254.1.2/test.iso',
interval=1
) is True
# Assert values of the object passed to add_mo()
assert add_mount_mock.call_args[1] == {
'volume_name': 'test.iso',
'mount_options': 'noauto',
'map': 'cifs',
'remote_share': "//169.254.1.2/",
'remote_file': 'test.iso',
'username': '',
'password': '',
'server_id': 1
}
# NFS mapping succeeded
exist_mock.return_value = ["169.254.1.2:/test.iso"]
state_mock.side_effect = [['In Progress'], ['OK']]
assert vmedia_mount_iso_uri(
test_cimc,
'169.254.1.2:/test.iso',
interval=1
) is True
# Assert values of the object passed to add_mo()
assert add_mount_mock.call_args[1] == {
'volume_name': 'test.iso',
'mount_options': 'noauto',
'map': 'nfs',
'remote_share': "169.254.1.2:/",
'remote_file': 'test.iso',
'username': '',
'password': '',
'server_id': 1
}
@patch('imcsdk.apis.server.vmedia.vmedia_get_existing_status')
@patch('imcsdk.apis.server.vmedia.vmedia_get_existing_uri')
@patch('imcsdk.apis.server.vmedia.vmedia_mount_create')
@patch.object(ImcHandle, 'login')
def test_invalid_vmedia_mount_iso_uri(login_mock, add_mount_mock,
exist_mock, state_mock):
# Patch ImcHandle.login to create a Faux ImcHandle object w/o real CIMC
# Patch vmedia_mount_create to simulate CIMC interaction w/o real CIMC
# Patch vmedia_get_existing_uri to simulate existing ISOs
# Patch vmedia_get_existing_status to simulate ISO status
login_mock.return_value = True
add_mount_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# Scenario: Zero value passed in as check interval
assert_raises(ValueError, vmedia_mount_iso_uri, test_cimc,
'http://1.1.1.1/test.iso', interval=0)
# Scenario: Invalid protocol
exist_mock.side_effect = [[], ["britt://1.1.1.1/test.iso"]]
assert_raises(ValueError, vmedia_mount_iso_uri, test_cimc,
'britt://1.1.1.1/test.iso', interval=1)
# Scenario: Mapping failed
exist_mock.side_effect = [[], []]
assert_raises(ImcOperationError, vmedia_mount_iso_uri, test_cimc,
'http://169.254.1.2/test.iso', interval=1)
# Scenario: Timeout on state change
exist_mock.side_effect = [[], ["http://169.254.1.2/test.iso"]]
state_mock.side_effect = [['In Progress'], ['In Progress']]
assert_raises(ImcOperationError, vmedia_mount_iso_uri, test_cimc,
'http://169.254.1.2/test.iso', interval=1, timeout=0)
# State returns Error
exist_mock.side_effect = [[], ["http://169.254.1.2/test.iso"]]
state_mock.side_effect = [['In Progress'],
['ERROR: [404] File not found. ']]
assert_raises(ImcOperationError, vmedia_mount_iso_uri, test_cimc,
'http://169.254.1.2/test.iso', interval=1)
@patch.object(ImcHandle, 'remove_mo')
@patch.object(ImcHandle, 'query_children')
@patch.object(ImcHandle, 'login')
def test_valid_remove_vmedia_all(login_mock, query_mock, remove_mock):
# Patch ImcHandle.login to create a Faux ImcHandle object w/o real CIMC
# Patch ImcHandle.query_children to simulate CIMC interaction w/o real CIMC
# Patch ImcHandle.remove_mo to simulate CIMC interaction w/o real CIMC
login_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# Scenario: server has no vmedia mounts
query_mock.return_value = []
assert vmedia_mount_remove_all(test_cimc) is True
assert remove_mock.mock_calls == []
# Scenario: Three pre-exising mounts, removed successfully
vmedia1 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="One.iso")
vmedia1.remote_share = "http://169.254.1.2/"
vmedia1.remote_file = "One.iso"
vmedia2 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Two")
vmedia2.remote_share = "http://169.254.1.2/"
vmedia2.remote_file = "Two.iso"
vmedia3 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Three")
vmedia3.remote_share = "http://169.254.1.2/"
vmedia3.remote_file = "Three.iso"
# query_mocked call first time in remove_existing_virtual_media
# query_mock called a second time in get_existing_virtual_media_uri
query_mock.side_effect = [[vmedia1, vmedia2, vmedia3], []]
assert vmedia_mount_remove_all(test_cimc) is True
assert remove_mock.mock_calls == [call(vmedia1),
call(vmedia2),
call(vmedia3)]
@patch.object(ImcHandle, 'remove_mo')
@patch.object(ImcHandle, 'query_children')
@patch.object(ImcHandle, 'login')
def test_invalid_remove_vmedia_all(login_mock, query_mock, remove_mock):
# Patch ImcHandle.login to create a Faux ImcHandle object w/o real CIMC
# Patch ImcHandle.query_children to simulate CIMC interaction w/o real CIMC
# Patch ImcHandle.remove_mo to simulate CIMC interaction w/o real CIMC
login_mock.return_value = True
test_cimc = ImcHandle(ip='169.254.1.1',
username='admin',
password='right')
test_cimc._set_platform(platform=IMC_PLATFORM.TYPE_CLASSIC)
# Scenario: Three pre-exising mounts, only two unsuccessfully
vmedia1 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="One.iso")
vmedia1.remote_share = "http://169.254.1.2/"
vmedia1.remote_file = "One.iso"
vmedia2 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Two")
vmedia2.remote_share = "http://169.254.1.2/"
vmedia2.remote_file = "Two.iso"
vmedia3 = CommVMediaMap(parent_mo_or_dn="sys/svc-ext/vmedia-svc",
volume_name="Three")
vmedia3.remote_share = "http://169.254.1.2/"
vmedia3.remote_file = "Three.iso"
query_mock.side_effect = [[vmedia1, vmedia2, vmedia3], [vmedia1]]
assert_raises(ImcOperationError, vmedia_mount_remove_all, test_cimc)
| 41.996732 | 79 | 0.650844 | 1,696 | 12,851 | 4.704599 | 0.117335 | 0.026319 | 0.030706 | 0.029076 | 0.8189 | 0.806241 | 0.787442 | 0.761624 | 0.758742 | 0.746961 | 0 | 0.037656 | 0.231266 | 12,851 | 305 | 80 | 42.134426 | 0.770017 | 0.211735 | 0 | 0.714932 | 0 | 0 | 0.213222 | 0.066309 | 0 | 0 | 0 | 0 | 0.113122 | 1 | 0.027149 | false | 0.045249 | 0.031674 | 0 | 0.058824 | 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 |
8af57d7abd0ddffcade87399c278e4a4e7a667ba | 22,404 | py | Python | veritastool/fairness/tests/test_creditscoring.py | mas-veritas2/veritastool | 37f36b620c3637e230efd8ed69cbb5e4ef87fe2b | [
"Apache-2.0"
] | 2 | 2022-01-12T07:12:50.000Z | 2022-03-08T10:57:10.000Z | veritastool/fairness/tests/test_creditscoring.py | mas-veritas2/veritastool | 37f36b620c3637e230efd8ed69cbb5e4ef87fe2b | [
"Apache-2.0"
] | 18 | 2021-11-02T03:03:00.000Z | 2021-12-10T07:44:40.000Z | veritastool/fairness/tests/test_creditscoring.py | mas-veritas2/veritastool | 37f36b620c3637e230efd8ed69cbb5e4ef87fe2b | [
"Apache-2.0"
] | null | null | null | import pickle
from veritastool.model.model_container import ModelContainer
from veritastool.fairness.credit_scoring import CreditScoring
from veritastool.metrics.performance_metrics import PerformanceMetrics
from veritastool.metrics.fairness_metrics import FairnessMetrics
from veritastool.fairness.fairness import Fairness
# from veritastool.custom.LRwrapper import LRwrapper
import numpy as np
import pandas as pd
import pytest
from veritastool.util.errors import *
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
#cre_sco_obj.k = 1
def test_check_input():
cre_sco_obj._model_type_to_metric_lookup[cre_sco_obj.model_params[0].model_type] = ('classification', 4, 2)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj._check_input()
assert toolkit_exit.type == MyError
cre_sco_obj._model_type_to_metric_lookup[cre_sco_obj.model_params[0].model_type] = ('classification', 2, 1)
cre_sco_obj.model_params[0].y_pred = None
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj._check_input()
assert toolkit_exit.type == MyError
def test_check_special_params():
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = 1
base_default_rate = 2
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
# cre_sco_obj.spl_params = {'num_applicants': 1, 'base_default_rate': 2}
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': ['3500', 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
# cre_sco_obj.spl_params = {'num_applicants': {'SEX': ['3500', '5000'], 'MARRIAGE': [3500, 5000]},
# 'base_default_rate': {'SEX': [0.1, 0.05], 'MARRIAGE': [0.1, 0.05]}}
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': ['0.10',0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [-3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [-0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000, 3500], 'MARRIAGE':[3500, 5000, 3500]}
base_default_rate = {'SEX': [-0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.1, 0.05, 0.1], 'MARRIAGE':[0.1, 0.05, 0.1]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.001,0.005], 'MARRIAGE':[0.001,0.005]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500, 5000], 'MARRIAGE':[3500, 5000]}
base_default_rate = {'SEX': [0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
with pytest.raises(MyError) as toolkit_exit:
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",fair_metric_name = "mi_independence",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
assert toolkit_exit.type == MyError
def test_get_confusion_matrix():
#Load Credit Scoring Test Data
#PATH = os.path.abspath(os.path.dirname(__file__))
file = "veritastool/resources/data/credit_score_dict.pickle"
input_file = open(file, "rb")
cs = pickle.load(input_file)
#Reduce into two classes
cs["X_train"]['MARRIAGE'] = cs["X_train"]['MARRIAGE'].replace([0, 3],1)
cs["X_test"]['MARRIAGE'] = cs["X_test"]['MARRIAGE'].replace([0, 3],1)
#Model Contariner Parameters
y_true = np.array(cs["y_test"])
y_pred = np.array(cs["y_pred"])
y_train = np.array(cs["y_train"])
p_var = ['SEX', 'MARRIAGE']
p_grp = {'SEX': [1], 'MARRIAGE':[1]}
x_train = cs["X_train"]
x_test = cs["X_test"]
model_object = cs["model"]
# model_object = LogisticRegression(C=0.1)
model_name = "credit scoring"
model_type = "credit"
y_prob = cs["y_prob"]
#rejection inference
num_applicants = {'SEX': [3500.0, 5000.0], 'MARRIAGE':[3500.0, 5000.0]}
base_default_rate = {'SEX': [0.10,0.05], 'MARRIAGE':[0.10,0.05]}
# model_object = LRwrapper(model_object)
#Create Model Container and Use Case Object
container = ModelContainer(y_true = y_true, y_train = y_train, p_var = p_var, p_grp = p_grp, x_train = x_train, x_test = x_test, model_object = model_object, model_type = model_type,model_name = model_name, y_pred= y_pred, y_prob= y_prob)
cre_sco_obj= CreditScoring(model_params = [container], fair_threshold = 0.43, fair_concern = "eligible",
fair_priority = "benefit", fair_impact = "significant",
fairness_metric_value_input = {'SEX':{'fpr_parity': 0.2} },
num_applicants =num_applicants, base_default_rate=base_default_rate)
result = cre_sco_obj._get_confusion_matrix(None,None,None)
assert len(result) == 4
assert result[0] == None
result = cre_sco_obj._get_confusion_matrix(None,None,0.25,curr_p_var = 'SEX')
assert len(result) == 8
assert result[0] == None
cre_sco_obj.spl_params = {'num_applicants': {'SEX': [3500, 5000], 'MARRIAGE': [3500, 5000]},
'base_default_rate': {'SEX': [0.1, 0.05], 'MARRIAGE': [0.1, 0.05]}}
result = cre_sco_obj._get_confusion_matrix(y_true,y_pred, None)
assert len(result) == 4
assert result == (507, 61, 539.0, 7393.0)
cre_sco_obj._rejection_inference_flag = {'SEX': False, 'MARRIAGE': False}
cre_sco_obj.spl_params = {'num_applicants': {'SEX': [3500, 5000], 'MARRIAGE': [3500, 5000]},
'base_default_rate': {'SEX': [0.1, 0.05], 'MARRIAGE': [0.1, 0.05]}}
result = cre_sco_obj._get_confusion_matrix(y_true=y_true,y_pred=y_pred,sample_weight = np.array([0.7 for x in range(len(y_pred))]),curr_p_var = 'SEX', feature_mask = cre_sco_obj.feature_mask)
assert len(result) == 8
assert result == (113.4000000000003,
18.199999999999992,
30.79999999999998,
45.500000000000036,
241.49999999999852,
24.499999999999986,
26.599999999999984,
24.499999999999986)
| 47.067227 | 245 | 0.650911 | 3,187 | 22,404 | 4.277063 | 0.048949 | 0.014526 | 0.040716 | 0.02421 | 0.933827 | 0.932874 | 0.926564 | 0.918348 | 0.918348 | 0.912332 | 0 | 0.039913 | 0.203758 | 22,404 | 475 | 246 | 47.166316 | 0.7242 | 0.145644 | 0 | 0.873817 | 0 | 0 | 0.156403 | 0.029453 | 0 | 0 | 0 | 0 | 0.059937 | 1 | 0.009464 | false | 0 | 0.031546 | 0 | 0.041009 | 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 |
c1da020d49ce08ffb439dc0a160daf851022938e | 5,337 | py | Python | test/test_config_clientagent.py | Hawkheart/Astron | 3a15606ab15b63b666fdff1e0145417470232dbc | [
"BSD-3-Clause"
] | null | null | null | test/test_config_clientagent.py | Hawkheart/Astron | 3a15606ab15b63b666fdff1e0145417470232dbc | [
"BSD-3-Clause"
] | null | null | null | test/test_config_clientagent.py | Hawkheart/Astron | 3a15606ab15b63b666fdff1e0145417470232dbc | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2
import unittest
from common.unittests import ConfigTest
from common.dcfile import *
class TestConfigClientAgent(ConfigTest):
def test_clientagent_good(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
general:
dc_files:
- %r
uberdogs:
- id: 1234
class: UberDog1
anonymous: true
- id: 1235
class: UberDog2
anonymous: false
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 3999
client:
relocate: true
add_interest: enabled
- type: clientagent
bind: 127.0.0.1:57135
version: "Sword Art Online v5.1"
client:
type: libastron
add_interest: disabled
channels:
min: 110600
max: 110699
- type: clientagent
bind: 127.0.0.1:57144
version: "Sword Art Online v5.1"
client:
type: libastron
add_interest: visible
channels:
min: 220600
max: 220699
""" % test_dc
self.assertEquals(self.checkConfig(config), 'Valid')
def test_ca_invalid_attr(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 3999
weeuuweeeuu: sirens!
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
def test_ca_invalid_channels(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 0
max: 3999
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 0
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
def test_ca_reserved_channels(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 100
max: 3999
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 999
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
def test_ca_client_type_typo(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: 127.0.0.1:57128
version: "Sword Art Online v5.1"
client:
type: astron
channels:
min: 3100
max: 3999
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
def test_ca_bind_address(self):
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: pizza:2314
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 3999
"""
self.assertEquals(self.checkConfig(config), 'Invalid')
# ipv6 test disabled because client agent can't accept them yet, and causes a crash
config = """\
messagedirector:
bind: 127.0.0.1:57123
roles:
- type: clientagent
bind: ::1:2314
version: "Sword Art Online v5.1"
channels:
min: 3100
max: 3999
"""
#self.assertEquals(self.checkConfig(config), 'Valid')
if __name__ == '__main__':
unittest.main()
| 29.486188 | 91 | 0.417276 | 454 | 5,337 | 4.837004 | 0.211454 | 0.057377 | 0.065574 | 0.07377 | 0.755464 | 0.755464 | 0.734062 | 0.711293 | 0.70674 | 0.612022 | 0 | 0.123638 | 0.501405 | 5,337 | 180 | 92 | 29.65 | 0.701616 | 0.029043 | 0 | 0.72549 | 0 | 0 | 0.788183 | 0 | 0 | 0 | 0 | 0 | 0.052288 | 1 | 0.039216 | false | 0 | 0.019608 | 0 | 0.065359 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 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 |
a9bcc77df02d87548c72dd5b8ca7058f19553dbf | 127 | py | Python | mymodule.py | lzcdev/EasyPythonDemo | 6e8af845d08a47e378c5c7d170dfa45fd7e362e3 | [
"MIT"
] | null | null | null | mymodule.py | lzcdev/EasyPythonDemo | 6e8af845d08a47e378c5c7d170dfa45fd7e362e3 | [
"MIT"
] | null | null | null | mymodule.py | lzcdev/EasyPythonDemo | 6e8af845d08a47e378c5c7d170dfa45fd7e362e3 | [
"MIT"
] | null | null | null | #!usr/bin/python
from mymudule import sayhi, version
# Alternative:
# from mymudule import *
sayhi()
print 'Version', version | 15.875 | 35 | 0.748031 | 16 | 127 | 5.9375 | 0.625 | 0.252632 | 0.378947 | 0.484211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141732 | 127 | 8 | 36 | 15.875 | 0.87156 | 0.401575 | 0 | 0 | 0 | 0 | 0.094595 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0.333333 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
a9e28bbf9ab70446b598d80ff5d1ee7c74014aac | 106 | py | Python | custom_cropping.py | namantuli18/Amazon-Web-Services-Hackathon | e4a8ab53aaa55068dda06e73ef1f9e2c30b8969d | [
"MIT"
] | 2 | 2020-09-20T16:58:17.000Z | 2020-09-30T15:01:53.000Z | custom_cropping.py | namantuli18/Amazon-Web-Services-Hackathon | e4a8ab53aaa55068dda06e73ef1f9e2c30b8969d | [
"MIT"
] | null | null | null | custom_cropping.py | namantuli18/Amazon-Web-Services-Hackathon | e4a8ab53aaa55068dda06e73ef1f9e2c30b8969d | [
"MIT"
] | 1 | 2020-09-15T12:42:51.000Z | 2020-09-15T12:42:51.000Z | import torch
import cv2
import tqdm
import numpy as np
import glob
import numpy as np
import pandas as pd
| 13.25 | 19 | 0.811321 | 20 | 106 | 4.3 | 0.5 | 0.255814 | 0.302326 | 0.348837 | 0.488372 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 0.188679 | 106 | 7 | 20 | 15.142857 | 0.988372 | 0 | 0 | 0.285714 | 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 |
99b39528107b9fad8953ee50fdd64cc1e3b82241 | 1,640 | py | Python | Simulations/generate_data.py | aagarwal1996/additive_trees | 3c24d35b1023c5b569f4e7cdb3821916e406f321 | [
"MIT"
] | null | null | null | Simulations/generate_data.py | aagarwal1996/additive_trees | 3c24d35b1023c5b569f4e7cdb3821916e406f321 | [
"MIT"
] | null | null | null | Simulations/generate_data.py | aagarwal1996/additive_trees | 3c24d35b1023c5b569f4e7cdb3821916e406f321 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import statistics
import sys
'''
This script is used for the generation of simulation data. Specifically,
'''
def sample_uniform_X(n,d):
X = np.random.uniform(0,1.0,(n,d))
return X
def sample_boolean_X(n,d):
X = np.random.randint(0,2.0,(n,d))
return X
def linear_model(X,s,beta,sigma):
'''
This method is used to crete responses from a linear model with hard sparsity
Parameters:
X: X matrix
s: sparsity
beta: coefficient vector. If beta not a vector, then assumed that
sigma: s.d. of added noise
Returns:
numpy array of shape (n)
'''
def create_y(x,s,beta):
linear_term = 0
for i in range(s):
linear_term += x[i]*beta
return linear_term
y_train = np.array([create_y(X[i, :],s,beta) for i in range(len(X))])
y_train = y_train + sigma * np.random.randn((len(X)))
return y_train
def sum_of_squares(X,s,beta,sigma):
'''
This method is used to crete responses from a sum of squares model with hard sparsity
Parameters:
X: X matrix
s: sparsity
beta: coefficient vector. If beta not a vector, then assumed that
sigma: s.d. of added noise
Returns:
numpy array of shape (n)
'''
def create_y(x,s,beta):
linear_term = 0
for i in range(s):
linear_term += x[i]*x[i]*beta
return linear_term
y_train = np.array([create_y(X[i, :],s,beta) for i in range(len(X))])
y_train = y_train + sigma * np.random.randn((len(X)))
return y_train | 25.625 | 89 | 0.617683 | 269 | 1,640 | 3.672862 | 0.275093 | 0.048583 | 0.024292 | 0.044534 | 0.763158 | 0.763158 | 0.712551 | 0.712551 | 0.712551 | 0.712551 | 0 | 0.006728 | 0.275 | 1,640 | 64 | 90 | 25.625 | 0.824222 | 0.307927 | 0 | 0.551724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0 | 0.172414 | 0 | 0.586207 | 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 | 0 | 1 | 0 | 0 | 7 |
99e7925587178ab11923854249de48ddf52a6141 | 23,892 | py | Python | sdk/python/pulumi_gcp/compute/firewall_policy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/compute/firewall_policy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/compute/firewall_policy.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # 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__ = ['FirewallPolicyArgs', 'FirewallPolicy']
@pulumi.input_type
class FirewallPolicyArgs:
def __init__(__self__, *,
parent: pulumi.Input[str],
short_name: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a FirewallPolicy resource.
:param pulumi.Input[str] parent: The parent of the firewall policy.
:param pulumi.Input[str] short_name: User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
:param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource.
"""
pulumi.set(__self__, "parent", parent)
pulumi.set(__self__, "short_name", short_name)
if description is not None:
pulumi.set(__self__, "description", description)
@property
@pulumi.getter
def parent(self) -> pulumi.Input[str]:
"""
The parent of the firewall policy.
"""
return pulumi.get(self, "parent")
@parent.setter
def parent(self, value: pulumi.Input[str]):
pulumi.set(self, "parent", value)
@property
@pulumi.getter(name="shortName")
def short_name(self) -> pulumi.Input[str]:
"""
User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
return pulumi.get(self, "short_name")
@short_name.setter
def short_name(self, value: pulumi.Input[str]):
pulumi.set(self, "short_name", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of this resource. Provide this property when you create the resource.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@pulumi.input_type
class _FirewallPolicyState:
def __init__(__self__, *,
creation_timestamp: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
fingerprint: Optional[pulumi.Input[str]] = None,
firewall_policy_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
rule_tuple_count: Optional[pulumi.Input[int]] = None,
self_link: Optional[pulumi.Input[str]] = None,
self_link_with_id: Optional[pulumi.Input[str]] = None,
short_name: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering FirewallPolicy resources.
:param pulumi.Input[str] creation_timestamp: Creation timestamp in RFC3339 text format.
:param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource.
:param pulumi.Input[str] fingerprint: Fingerprint of the resource. This field is used internally during updates of this resource.
:param pulumi.Input[str] firewall_policy_id: The unique identifier for the resource. This identifier is defined by the server.
:param pulumi.Input[str] name: Name of the resource. It is a numeric ID allocated by GCP which uniquely identifies the Firewall Policy.
:param pulumi.Input[str] parent: The parent of the firewall policy.
:param pulumi.Input[int] rule_tuple_count: Total count of all firewall policy rule tuples. A firewall policy can not exceed a set number of tuples.
:param pulumi.Input[str] self_link: Server-defined URL for the resource.
:param pulumi.Input[str] self_link_with_id: Server-defined URL for this resource with the resource id.
:param pulumi.Input[str] short_name: User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
if creation_timestamp is not None:
pulumi.set(__self__, "creation_timestamp", creation_timestamp)
if description is not None:
pulumi.set(__self__, "description", description)
if fingerprint is not None:
pulumi.set(__self__, "fingerprint", fingerprint)
if firewall_policy_id is not None:
pulumi.set(__self__, "firewall_policy_id", firewall_policy_id)
if name is not None:
pulumi.set(__self__, "name", name)
if parent is not None:
pulumi.set(__self__, "parent", parent)
if rule_tuple_count is not None:
pulumi.set(__self__, "rule_tuple_count", rule_tuple_count)
if self_link is not None:
pulumi.set(__self__, "self_link", self_link)
if self_link_with_id is not None:
pulumi.set(__self__, "self_link_with_id", self_link_with_id)
if short_name is not None:
pulumi.set(__self__, "short_name", short_name)
@property
@pulumi.getter(name="creationTimestamp")
def creation_timestamp(self) -> Optional[pulumi.Input[str]]:
"""
Creation timestamp in RFC3339 text format.
"""
return pulumi.get(self, "creation_timestamp")
@creation_timestamp.setter
def creation_timestamp(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "creation_timestamp", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
An optional description of this resource. Provide this property when you create the resource.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def fingerprint(self) -> Optional[pulumi.Input[str]]:
"""
Fingerprint of the resource. This field is used internally during updates of this resource.
"""
return pulumi.get(self, "fingerprint")
@fingerprint.setter
def fingerprint(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "fingerprint", value)
@property
@pulumi.getter(name="firewallPolicyId")
def firewall_policy_id(self) -> Optional[pulumi.Input[str]]:
"""
The unique identifier for the resource. This identifier is defined by the server.
"""
return pulumi.get(self, "firewall_policy_id")
@firewall_policy_id.setter
def firewall_policy_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "firewall_policy_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the resource. It is a numeric ID allocated by GCP which uniquely identifies the Firewall Policy.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def parent(self) -> Optional[pulumi.Input[str]]:
"""
The parent of the firewall policy.
"""
return pulumi.get(self, "parent")
@parent.setter
def parent(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "parent", value)
@property
@pulumi.getter(name="ruleTupleCount")
def rule_tuple_count(self) -> Optional[pulumi.Input[int]]:
"""
Total count of all firewall policy rule tuples. A firewall policy can not exceed a set number of tuples.
"""
return pulumi.get(self, "rule_tuple_count")
@rule_tuple_count.setter
def rule_tuple_count(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "rule_tuple_count", value)
@property
@pulumi.getter(name="selfLink")
def self_link(self) -> Optional[pulumi.Input[str]]:
"""
Server-defined URL for the resource.
"""
return pulumi.get(self, "self_link")
@self_link.setter
def self_link(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "self_link", value)
@property
@pulumi.getter(name="selfLinkWithId")
def self_link_with_id(self) -> Optional[pulumi.Input[str]]:
"""
Server-defined URL for this resource with the resource id.
"""
return pulumi.get(self, "self_link_with_id")
@self_link_with_id.setter
def self_link_with_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "self_link_with_id", value)
@property
@pulumi.getter(name="shortName")
def short_name(self) -> Optional[pulumi.Input[str]]:
"""
User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
return pulumi.get(self, "short_name")
@short_name.setter
def short_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "short_name", value)
class FirewallPolicy(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
short_name: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Hierarchical firewall policy rules let you create and enforce a consistent firewall policy across your organization. Rules can explicitly allow or deny connections or delegate evaluation to lower level policies. Policies can be created within organizations or folders.
This resource should be generally be used with `compute.FirewallPolicyAssociation` and `compute.FirewallPolicyRule`
For more information see the [official documentation](https://cloud.google.com/vpc/docs/firewall-policies)
## Example Usage
```python
import pulumi
import pulumi_gcp as gcp
default = gcp.compute.FirewallPolicy("default",
description="Example Resource",
parent="organizations/12345",
short_name="my-policy")
```
## Import
FirewallPolicy can be imported using any of these accepted formats
```sh
$ pulumi import gcp:compute/firewallPolicy:FirewallPolicy default locations/global/firewallPolicies/{{name}}
```
```sh
$ pulumi import gcp:compute/firewallPolicy:FirewallPolicy default {{name}}
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource.
:param pulumi.Input[str] parent: The parent of the firewall policy.
:param pulumi.Input[str] short_name: User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: FirewallPolicyArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Hierarchical firewall policy rules let you create and enforce a consistent firewall policy across your organization. Rules can explicitly allow or deny connections or delegate evaluation to lower level policies. Policies can be created within organizations or folders.
This resource should be generally be used with `compute.FirewallPolicyAssociation` and `compute.FirewallPolicyRule`
For more information see the [official documentation](https://cloud.google.com/vpc/docs/firewall-policies)
## Example Usage
```python
import pulumi
import pulumi_gcp as gcp
default = gcp.compute.FirewallPolicy("default",
description="Example Resource",
parent="organizations/12345",
short_name="my-policy")
```
## Import
FirewallPolicy can be imported using any of these accepted formats
```sh
$ pulumi import gcp:compute/firewallPolicy:FirewallPolicy default locations/global/firewallPolicies/{{name}}
```
```sh
$ pulumi import gcp:compute/firewallPolicy:FirewallPolicy default {{name}}
```
:param str resource_name: The name of the resource.
:param FirewallPolicyArgs 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(FirewallPolicyArgs, 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,
description: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
short_name: 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__ = FirewallPolicyArgs.__new__(FirewallPolicyArgs)
__props__.__dict__["description"] = description
if parent is None and not opts.urn:
raise TypeError("Missing required property 'parent'")
__props__.__dict__["parent"] = parent
if short_name is None and not opts.urn:
raise TypeError("Missing required property 'short_name'")
__props__.__dict__["short_name"] = short_name
__props__.__dict__["creation_timestamp"] = None
__props__.__dict__["fingerprint"] = None
__props__.__dict__["firewall_policy_id"] = None
__props__.__dict__["name"] = None
__props__.__dict__["rule_tuple_count"] = None
__props__.__dict__["self_link"] = None
__props__.__dict__["self_link_with_id"] = None
super(FirewallPolicy, __self__).__init__(
'gcp:compute/firewallPolicy:FirewallPolicy',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
creation_timestamp: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
fingerprint: Optional[pulumi.Input[str]] = None,
firewall_policy_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
rule_tuple_count: Optional[pulumi.Input[int]] = None,
self_link: Optional[pulumi.Input[str]] = None,
self_link_with_id: Optional[pulumi.Input[str]] = None,
short_name: Optional[pulumi.Input[str]] = None) -> 'FirewallPolicy':
"""
Get an existing FirewallPolicy 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[str] creation_timestamp: Creation timestamp in RFC3339 text format.
:param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource.
:param pulumi.Input[str] fingerprint: Fingerprint of the resource. This field is used internally during updates of this resource.
:param pulumi.Input[str] firewall_policy_id: The unique identifier for the resource. This identifier is defined by the server.
:param pulumi.Input[str] name: Name of the resource. It is a numeric ID allocated by GCP which uniquely identifies the Firewall Policy.
:param pulumi.Input[str] parent: The parent of the firewall policy.
:param pulumi.Input[int] rule_tuple_count: Total count of all firewall policy rule tuples. A firewall policy can not exceed a set number of tuples.
:param pulumi.Input[str] self_link: Server-defined URL for the resource.
:param pulumi.Input[str] self_link_with_id: Server-defined URL for this resource with the resource id.
:param pulumi.Input[str] short_name: User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _FirewallPolicyState.__new__(_FirewallPolicyState)
__props__.__dict__["creation_timestamp"] = creation_timestamp
__props__.__dict__["description"] = description
__props__.__dict__["fingerprint"] = fingerprint
__props__.__dict__["firewall_policy_id"] = firewall_policy_id
__props__.__dict__["name"] = name
__props__.__dict__["parent"] = parent
__props__.__dict__["rule_tuple_count"] = rule_tuple_count
__props__.__dict__["self_link"] = self_link
__props__.__dict__["self_link_with_id"] = self_link_with_id
__props__.__dict__["short_name"] = short_name
return FirewallPolicy(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="creationTimestamp")
def creation_timestamp(self) -> pulumi.Output[str]:
"""
Creation timestamp in RFC3339 text format.
"""
return pulumi.get(self, "creation_timestamp")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
An optional description of this resource. Provide this property when you create the resource.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter
def fingerprint(self) -> pulumi.Output[str]:
"""
Fingerprint of the resource. This field is used internally during updates of this resource.
"""
return pulumi.get(self, "fingerprint")
@property
@pulumi.getter(name="firewallPolicyId")
def firewall_policy_id(self) -> pulumi.Output[str]:
"""
The unique identifier for the resource. This identifier is defined by the server.
"""
return pulumi.get(self, "firewall_policy_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the resource. It is a numeric ID allocated by GCP which uniquely identifies the Firewall Policy.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def parent(self) -> pulumi.Output[str]:
"""
The parent of the firewall policy.
"""
return pulumi.get(self, "parent")
@property
@pulumi.getter(name="ruleTupleCount")
def rule_tuple_count(self) -> pulumi.Output[int]:
"""
Total count of all firewall policy rule tuples. A firewall policy can not exceed a set number of tuples.
"""
return pulumi.get(self, "rule_tuple_count")
@property
@pulumi.getter(name="selfLink")
def self_link(self) -> pulumi.Output[str]:
"""
Server-defined URL for the resource.
"""
return pulumi.get(self, "self_link")
@property
@pulumi.getter(name="selfLinkWithId")
def self_link_with_id(self) -> pulumi.Output[str]:
"""
Server-defined URL for this resource with the resource id.
"""
return pulumi.get(self, "self_link_with_id")
@property
@pulumi.getter(name="shortName")
def short_name(self) -> pulumi.Output[str]:
"""
User-provided name of the Organization firewall policy. The name should be unique in the organization in which the firewall policy is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression a-z? which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash.
"""
return pulumi.get(self, "short_name")
| 48.169355 | 525 | 0.672736 | 2,964 | 23,892 | 5.238529 | 0.082659 | 0.060218 | 0.069427 | 0.06376 | 0.851742 | 0.817608 | 0.776583 | 0.752238 | 0.742513 | 0.713274 | 0 | 0.005335 | 0.239034 | 23,892 | 495 | 526 | 48.266667 | 0.848688 | 0.432906 | 0 | 0.532075 | 1 | 0 | 0.104084 | 0.003329 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162264 | false | 0.003774 | 0.018868 | 0 | 0.283019 | 0.049057 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4131e83429eb30f1f02e6c81cbff70a8677a23ea | 7,427 | py | Python | authors/apps/notifications/tests/test_notification.py | andela/ah-magnificent6 | daf55ce4819f57cec8510c5726e86a0b1e78e3e1 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/notifications/tests/test_notification.py | andela/ah-magnificent6 | daf55ce4819f57cec8510c5726e86a0b1e78e3e1 | [
"BSD-3-Clause"
] | 75 | 2018-08-28T08:37:04.000Z | 2022-03-11T23:29:08.000Z | authors/apps/notifications/tests/test_notification.py | andela/ah-magnificent6 | daf55ce4819f57cec8510c5726e86a0b1e78e3e1 | [
"BSD-3-Clause"
] | 2 | 2018-08-27T08:13:55.000Z | 2018-12-18T09:17:26.000Z | from .base_setup import Base
from rest_framework import status
from django.urls import reverse
from django.core import mail
from authors.apps.authentication.models import User
from authors.apps.profiles.models import Profile
from authors.apps.core.cron import EmailNotificationCron
class ArticleDeleteUpdateTests(Base):
"""Test suite for favouriting articles."""
def setUp(self):
"""Setup data for the tests."""
super().setUp()
self.res = self.client.post(
self.article_url,
self.article_data,
format="json",
**self.headers_one)
def tearDown(self):
"""Teardown for the tests."""
super().tearDown()
def test_successfull_notification(self):
"""
Tests that a user successfully receiving notifications.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
self.assertEqual(notification.status_code, status.HTTP_200_OK)
def test_successfully_get_a_notification(self):
"""
Tests that a user can get a notification.
"""
EmailNotificationCron().do()
self.assertEqual(len(mail.outbox), 3)
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
response = self.client.get(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_successfully_delete_notification(self):
"""
Tests that a user can delete a notification.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
delete = self.client.delete(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_two)
self.assertEqual(delete.status_code, status.HTTP_200_OK)
def test_unsuccessfully_delete_notification(self):
"""
Tests that a user cannot delete a notification they do not own.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
delete = self.client.delete(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_one)
self.assertEqual(delete.status_code, status.HTTP_403_FORBIDDEN)
def test_unsuccessfully_mark_read_notification(self):
"""
Tests that a user cannot mark read a notification they do not own.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
delete = self.client.put(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_one)
self.assertEqual(delete.status_code, status.HTTP_403_FORBIDDEN)
def test_successfully_mark_read_notification(self):
"""
Tests that a user successfully marks as read.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
delete = self.client.put(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_two)
self.assertEqual(delete.status_code, status.HTTP_200_OK)
def test_unsuccessfully_mark_read_notification(self):
"""
Tests that a user cannot mark as read a notification they do not own.
"""
notification = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
pk = [*notification.data][0]
delete = self.client.put(
reverse('notifications:notification', kwargs={'pk': pk}),
**self.headers_one)
self.assertEqual(delete.status_code, status.HTTP_403_FORBIDDEN)
def test_successfully_mark_all_notification_as_read(self):
"""
Tests that a user successfully marks all as read.
"""
notification = self.client.put(
reverse('notifications:my_notifications'), **self.headers_two)
self.assertEqual(notification.status_code, status.HTTP_200_OK)
response = self.client.get(
reverse('notifications:my_notifications'), **self.headers_two)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_unsuccessfully_mark_non_existing_notification(self):
"""
Tests that a user unssuccessful marks as read non existing notification.
"""
response = self.client.put(
reverse('notifications:notification', kwargs={'pk': 500}),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_unsuccessfully_delete_non_existing_notification(self):
"""
Tests that a user unsuccessfully deletes non-existing notification.
"""
response = self.client.delete(
reverse('notifications:notification', kwargs={'pk': 500}),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_unsuccessfully_get_non_existing_notification(self):
"""
Tests that a user unsuccessfully gets non-existing notification.
"""
response = self.client.get(
reverse('notifications:notification', kwargs={'pk': 500}),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
def test_successfully_activate_app_notification(self):
"""
Tests that a user successfully activating notifications.
"""
response = self.client.post(
reverse('notifications:switch_app_notifications'),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_successfully_deactivate_app_notification(self):
"""
Tests that a user successfully deactivating notifications.
"""
self.client.post(
reverse('notifications:switch_app_notifications'),
**self.headers_one)
response = self.client.post(
reverse('notifications:switch_app_notifications'),
**self.headers_one)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_successfully_activate_email_notification(self):
"""
Tests that a user successfully activating notifications.
"""
response = self.client.post(
reverse('notifications:switch_email_notifications'),
**self.headers_two)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_successfully_deactivate_email_notification(self):
"""
Tests that a user successfully deactivating notifications.
"""
self.client.post(
reverse('notifications:switch_email_notifications'),
**self.headers_one)
response = self.client.post(
reverse('notifications:switch_email_notifications'),
**self.headers_one)
self.assertEqual(response.status_code, status.HTTP_200_OK)
| 39.505319 | 80 | 0.650195 | 791 | 7,427 | 5.900126 | 0.12263 | 0.053568 | 0.050996 | 0.068567 | 0.849582 | 0.841654 | 0.821727 | 0.777159 | 0.751446 | 0.714806 | 0 | 0.011435 | 0.246398 | 7,427 | 187 | 81 | 39.716578 | 0.822405 | 0.129797 | 0 | 0.714286 | 0 | 0 | 0.124549 | 0.120944 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.058824 | 0 | 0.210084 | 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 |
4170f433bb97caf67171fac3293b0a6b1c2d0603 | 66 | py | Python | tests/test_Monthly_Savings_calculator.py | valli180/Monthly_Savings_Calculator | ce4e0c9ec49ba249ab73b8b177f1146be6ed6715 | [
"MIT"
] | null | null | null | tests/test_Monthly_Savings_calculator.py | valli180/Monthly_Savings_Calculator | ce4e0c9ec49ba249ab73b8b177f1146be6ed6715 | [
"MIT"
] | null | null | null | tests/test_Monthly_Savings_calculator.py | valli180/Monthly_Savings_Calculator | ce4e0c9ec49ba249ab73b8b177f1146be6ed6715 | [
"MIT"
] | null | null | null | from Monthly_Savings_calculator import Monthly_Savings_calculator
| 33 | 65 | 0.939394 | 8 | 66 | 7.25 | 0.625 | 0.482759 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 66 | 1 | 66 | 66 | 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 |
4185ff9e4540cc266e2717d07955343fcb5f2fd7 | 28,281 | py | Python | scale/scheduler/test/node/test_node_class.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | scale/scheduler/test/node/test_node_class.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | scale/scheduler/test/node/test_node_class.py | stevevarner/scale | 9623b261db4ddcf770f00df16afc91176142bb7c | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import datetime
import django
from django.test import TestCase
from django.utils.timezone import now
from mock import patch
from job.execution.job_exe import RunningJobExecution
from job.execution.tasks.cleanup_task import CLEANUP_TASK_ID_PREFIX
from job.tasks.health_task import HEALTH_TASK_ID_PREFIX, HealthTask
from job.tasks.manager import TaskManager
from job.tasks.pull_task import PULL_TASK_ID_PREFIX
from job.tasks.update import TaskStatusUpdate
from job.test import utils as job_test_utils
from node.test import utils as node_test_utils
from scheduler.cleanup.node import JOB_EXES_WARNING_THRESHOLD
from scheduler.models import Scheduler
from scheduler.node.conditions import NodeConditions
from scheduler.node.node_class import Node
from util.parse import datetime_to_string
class TestNode(TestCase):
def setUp(self):
django.setup()
self.scheduler = Scheduler()
self.node_agent = 'agent_1'
self.node = node_test_utils.create_node(hostname='host_1', slave_id=self.node_agent)
self.job_exe = job_test_utils.create_running_job_exe(agent_id=self.node_agent, node=self.node)
self.task_mgr = TaskManager()
@patch('scheduler.node.conditions.now')
def test_generate_status_json(self, mock_now):
"""Tests calling generate_status_json() successfully"""
right_now = now()
mock_now.return_value = right_now
num_job_exes = JOB_EXES_WARNING_THRESHOLD + 1
node = Node(self.node_agent, self.node, self.scheduler)
node._conditions.handle_pull_task_failed()
node._conditions.update_cleanup_count(num_job_exes)
node._update_state()
nodes_list = []
node.generate_status_json(nodes_list)
expected_results = [{'id': node.id, 'hostname': node.hostname, 'agent_id': self.node_agent, 'is_active': True,
'state': {'name': 'DEGRADED', 'title': Node.DEGRADED.title,
'description': Node.DEGRADED.description},
'errors': [{'name': 'IMAGE_PULL', 'title': NodeConditions.IMAGE_PULL_ERR.title,
'description': NodeConditions.IMAGE_PULL_ERR.description,
'started': datetime_to_string(right_now),
'last_updated': datetime_to_string(right_now)}],
'warnings': [{'name': 'CLEANUP', 'title': NodeConditions.CLEANUP_WARNING.title,
'description': NodeConditions.CLEANUP_WARNING.description % num_job_exes,
'started': datetime_to_string(right_now),
'last_updated': datetime_to_string(right_now)}]}]
self.assertListEqual(nodes_list, expected_results)
def test_handle_failed_cleanup_task(self):
"""Tests handling failed cleanup task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
# Get initial cleanup task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
task_1_id = task.id
# Fail task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# No new cleanup task right away
tasks = node.get_next_tasks(when + datetime.timedelta(seconds=5))
self.assertListEqual([], tasks)
self.assertFalse(node._is_initial_cleanup_completed)
# After error threshold, we should get new cleanup task
new_time = when + Node.CLEANUP_ERR_THRESHOLD + datetime.timedelta(seconds=5)
node._last_heath_task = new_time # Get rid of health check task
task = node.get_next_tasks(new_time)[0]
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
def test_handle_initial_cleanup_task(self):
"""Tests handling the initial cleanup task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
# Get initial cleanup task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertTrue(task.is_initial_cleanup)
self.assertEqual(task.agent_id, self.node_agent)
# Schedule initial cleanup and make sure no new task is ready
self.task_mgr.launch_tasks([task], now())
self.assertListEqual([], node.get_next_tasks(when))
self.assertFalse(node._is_initial_cleanup_completed)
# Complete initial clean up, verify no new cleanup task
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FINISHED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
for task in node.get_next_tasks(when):
self.assertFalse(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertTrue(node._is_initial_cleanup_completed)
def test_handle_killed_cleanup_task(self):
"""Tests handling killed cleanup task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
# Get initial cleanup task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
task_1_id = task.id
# Kill task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.KILLED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_initial_cleanup_completed)
def test_handle_lost_cleanup_tasks(self):
"""Tests handling lost cleanup tasks"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
# Get initial cleanup task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
task_1_id = task.id
# Lose task without scheduling and get different task next time
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_initial_cleanup_completed)
# Lose task with scheduling and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_initial_cleanup_completed)
# Lose task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_initial_cleanup_completed)
def test_handle_regular_cleanup_task(self):
"""Tests handling a regular cleanup task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# No task since there are no job executions to clean
self.assertListEqual([], node.get_next_tasks(when))
# Add job execution and complete task to clean it up
node.add_job_execution(self.job_exe)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(CLEANUP_TASK_ID_PREFIX))
self.assertFalse(task.is_initial_cleanup)
self.assertListEqual(task.job_exes, [self.job_exe])
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FINISHED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# No task since all job executions have been cleaned
self.assertListEqual([], node.get_next_tasks(when))
def test_paused_node_cleanup_task(self):
"""Tests not returning cleanup task when its node is paused"""
when = now()
paused_node = node_test_utils.create_node(hostname='host_1_paused', slave_id='agent_paused')
paused_node.is_paused = True
node = Node('agent_paused', paused_node, self.scheduler)
# Turn off health task
node._last_heath_task = when
# No task due to paused node
self.assertListEqual([], node.get_next_tasks(when))
def test_handle_failed_health_task(self):
"""Tests handling failed health task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get health task
task = node.get_next_tasks(when)[0]
task_1_id = task.id
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
# Fail task after running
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# Check node state
self.assertEqual(node._state, Node.DEGRADED)
self.assertTrue(NodeConditions.HEALTH_FAIL_ERR.name in node._conditions._active_errors)
# No new health task right away
tasks = node.get_next_tasks(when + datetime.timedelta(seconds=5))
self.assertListEqual([], tasks)
self.assertFalse(node._conditions.is_health_check_normal)
# After error threshold, we should get new health task
new_time = when + Node.HEALTH_ERR_THRESHOLD + datetime.timedelta(seconds=5)
task = node.get_next_tasks(new_time)[0]
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
def test_handle_failed_health_task_bad_daemon(self):
"""Tests handling a failed health task where the Docker daemon is bad"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get health task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
# Fail task with bad daemon exit code
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now(),
exit_code=HealthTask.BAD_DAEMON_CODE)
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# Check node state
self.assertEqual(node._state, Node.DEGRADED)
self.assertTrue(NodeConditions.BAD_DAEMON_ERR.name in node._conditions._active_errors)
def test_handle_failed_health_task_bad_logstash(self):
"""Tests handling a failed health task where logstash is unreachable"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get health task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
# Fail task with bad logstash exit code
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now(),
exit_code=HealthTask.BAD_LOGSTASH_CODE)
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# Check node state
self.assertEqual(node._state, Node.DEGRADED)
self.assertTrue(NodeConditions.BAD_LOGSTASH_ERR.name in node._conditions._active_errors)
def test_handle_failed_health_task_low_docker_space(self):
"""Tests handling a failed health task where Docker has low disk space"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get health task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
# Fail task with low Docker space exit code
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now(),
exit_code=HealthTask.LOW_DOCKER_SPACE_CODE)
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# Check node state
self.assertEqual(node._state, Node.DEGRADED)
self.assertTrue(NodeConditions.LOW_DOCKER_SPACE_ERR.name in node._conditions._active_errors)
def test_handle_successful_health_task(self):
"""Tests handling the health task successfully"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get health task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
self.assertEqual(task.agent_id, self.node_agent)
# Schedule health task and make sure no new task is ready
self.task_mgr.launch_tasks([task], now())
self.assertListEqual([], node.get_next_tasks(when))
self.assertTrue(node._conditions.is_health_check_normal)
# Complete pull task, verify no new task
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FINISHED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
self.assertListEqual([], node.get_next_tasks(when))
self.assertTrue(node._conditions.is_health_check_normal)
def test_handle_killed_health_task(self):
"""Tests handling killed health task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get pull task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
task_1_id = task.id
# Kill task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.KILLED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(node._conditions.is_health_check_normal)
def test_handle_lost_health_task(self):
"""Tests handling lost health task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._initial_cleanup_completed()
node._image_pull_completed()
node._update_state()
# Get pull task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
task_1_id = task.id
self.assertIsNotNone(task)
# Lose task without scheduling and get different task next time
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(node._conditions.is_health_check_normal)
# Lose task with scheduling and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(node._conditions.is_health_check_normal)
# Lose task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(HEALTH_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(node._conditions.is_health_check_normal)
def test_handle_failed_pull_task(self):
"""Tests handling failed Docker pull task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._update_state()
# Get Docker pull task
task = node.get_next_tasks(when)[0]
task_1_id = task.id
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
# Fail task after running
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FAILED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
# No new pull task right away
tasks = node.get_next_tasks(when + datetime.timedelta(seconds=5))
self.assertListEqual([], tasks)
self.assertFalse(node._is_image_pulled)
# After error threshold, we should get new pull task
new_time = when + Node.IMAGE_PULL_ERR_THRESHOLD + datetime.timedelta(seconds=5)
node._last_heath_task = new_time # Get rid of health check task
task = node.get_next_tasks(new_time)[0]
self.assertNotEqual(task.id, task_1_id)
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
def test_handle_successful_pull_task(self):
"""Tests handling the Docker pull task successfully"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._update_state()
# Get Docker pull task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
self.assertEqual(task.agent_id, self.node_agent)
# Schedule pull task and make sure no new task is ready
self.task_mgr.launch_tasks([task], now())
self.assertListEqual([], node.get_next_tasks(when))
self.assertFalse(node._is_image_pulled)
# Complete pull task, verify no new task
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.FINISHED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
self.assertListEqual([], node.get_next_tasks(when))
self.assertTrue(node._is_image_pulled)
# Node should now be ready
self.assertEqual(node._state, Node.READY)
def test_handle_killed_pull_task(self):
"""Tests handling killed cleanup task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._update_state()
# Get pull task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
task_1_id = task.id
# Kill task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.KILLED, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_image_pulled)
def test_handle_lost_pull_task(self):
"""Tests handling lost pull task"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._update_state()
# Get pull task
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
task_1_id = task.id
self.assertIsNotNone(task)
# Lose task without scheduling and get different task next time
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_image_pulled)
# Lose task with scheduling and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_image_pulled)
# Lose task after running and get different task next time
self.task_mgr.launch_tasks([task], now())
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.RUNNING, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
update = job_test_utils.create_task_status_update(task.id, task.agent_id, TaskStatusUpdate.LOST, now())
self.task_mgr.handle_task_update(update)
node.handle_task_update(update)
task = node.get_next_tasks(when)[0]
self.assertTrue(task.id.startswith(PULL_TASK_ID_PREFIX))
self.assertNotEqual(task.id, task_1_id)
self.assertFalse(node._is_image_pulled)
def test_paused_node_pull_task(self):
"""Tests not returning pull task when its node is paused"""
when = now()
paused_node = node_test_utils.create_node(hostname='host_1_paused', slave_id='agent_paused')
paused_node.is_paused = True
node = Node('agent_paused', paused_node, self.scheduler)
node._last_heath_task = when
node._initial_cleanup_completed()
node._update_state()
tasks = node.get_next_tasks(when)
# No task due to paused node
self.assertListEqual([], tasks)
def test_node_that_is_not_cleaned_yet_no_pull_task(self):
"""Tests not returning pull task when the node hasn't been cleaned up yet"""
when = now()
node = Node(self.node_agent, self.node, self.scheduler)
tasks = node.get_next_tasks(when)
# No pull task due to node not cleaned yet
for task in tasks:
self.assertFalse(task.id.startswith(PULL_TASK_ID_PREFIX))
| 46.745455 | 118 | 0.692196 | 3,748 | 28,281 | 4.907417 | 0.047759 | 0.042734 | 0.063502 | 0.087316 | 0.867613 | 0.838526 | 0.828522 | 0.80846 | 0.799815 | 0.778068 | 0 | 0.002977 | 0.216046 | 28,281 | 604 | 119 | 46.822848 | 0.82662 | 0.109084 | 0 | 0.80137 | 0 | 0 | 0.011383 | 0.001158 | 0 | 0 | 0 | 0 | 0.226027 | 1 | 0.047945 | false | 0 | 0.043379 | 0 | 0.093607 | 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 |
68caffdd1ffd981ee3f1cddb8682094b221647ab | 176 | py | Python | planar_ising/decomp_ising/__init__.py | ValeryTyumen/planar_ising | 5a1803487e1dd59c5d5e790cc949b7234bf52ac8 | [
"MIT"
] | 8 | 2019-05-02T20:27:21.000Z | 2020-11-01T20:41:38.000Z | planar_ising/decomp_ising/__init__.py | ValeryTyumen/planar_ising | 5a1803487e1dd59c5d5e790cc949b7234bf52ac8 | [
"MIT"
] | 1 | 2019-09-03T18:15:53.000Z | 2019-09-06T16:41:12.000Z | planar_ising/decomp_ising/__init__.py | ValeryTyumen/planar_ising | 5a1803487e1dd59c5d5e790cc949b7234bf52ac8 | [
"MIT"
] | 3 | 2019-08-11T23:08:58.000Z | 2022-03-19T09:09:50.000Z | from .decomp_graph import DecompGraph
from .decomp_inference_and_sampling import DecompInferenceAndSampling
from .small_inference_and_sampling import SmallInferenceAndSampling
| 44 | 69 | 0.914773 | 19 | 176 | 8.105263 | 0.578947 | 0.12987 | 0.25974 | 0.337662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068182 | 176 | 3 | 70 | 58.666667 | 0.939024 | 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 |
ec44ca0e1ccdfd5fc59ca4f8988105c4f3455e80 | 4,349 | py | Python | src/users/migrations/0001_initial.py | raghuraju/Simple-Project-Management | fd7ab82a86bd5f1f7e6d389d4a0ee8de51b845ab | [
"Apache-2.0"
] | null | null | null | src/users/migrations/0001_initial.py | raghuraju/Simple-Project-Management | fd7ab82a86bd5f1f7e6d389d4a0ee8de51b845ab | [
"Apache-2.0"
] | 1 | 2017-04-15T03:48:04.000Z | 2017-04-15T03:48:04.000Z | src/users/migrations/0001_initial.py | raghuraju/Simple-Project-Management | fd7ab82a86bd5f1f7e6d389d4a0ee8de51b845ab | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-14 17:33
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Designer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=40)),
('last_name', models.CharField(max_length=40)),
('date_of_birth', models.DateField()),
('joined_on', models.DateField()),
('active', models.BooleanField(default=True)),
('email', models.EmailField(max_length=256)),
('employed_since', models.DateField()),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Developer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=40)),
('last_name', models.CharField(max_length=40)),
('date_of_birth', models.DateField()),
('joined_on', models.DateField()),
('active', models.BooleanField(default=True)),
('email', models.EmailField(max_length=256)),
('employed_since', models.DateField()),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Manager',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=40)),
('last_name', models.CharField(max_length=40)),
('date_of_birth', models.DateField()),
('joined_on', models.DateField()),
('active', models.BooleanField(default=True)),
('email', models.EmailField(max_length=256)),
('employed_since', models.DateField()),
('designation', models.CharField(choices=[(0, 'PROJECT'), (1, 'SENIOR'), (2, 'EXECUTIVE')], max_length=3)),
('reports_to', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='users.Manager')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Team',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=30)),
('incharge', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='users.Manager')),
],
),
migrations.CreateModel(
name='Tester',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('first_name', models.CharField(max_length=40)),
('last_name', models.CharField(max_length=40)),
('date_of_birth', models.DateField()),
('joined_on', models.DateField()),
('active', models.BooleanField(default=True)),
('email', models.EmailField(max_length=256)),
('employed_since', models.DateField()),
('automation', models.BooleanField(default=False)),
('team', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='users.Team')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='developer',
name='team',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='users.Team'),
),
migrations.AddField(
model_name='designer',
name='team',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='users.Team'),
),
]
| 41.817308 | 123 | 0.538285 | 401 | 4,349 | 5.673317 | 0.216958 | 0.055385 | 0.075165 | 0.087033 | 0.776264 | 0.763956 | 0.744176 | 0.744176 | 0.744176 | 0.744176 | 0 | 0.016762 | 0.314095 | 4,349 | 103 | 124 | 42.223301 | 0.745893 | 0.015176 | 0 | 0.726316 | 1 | 0 | 0.116822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.031579 | 0 | 0.073684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6b588b5a0a7880eebca65bd76006430a81918205 | 142 | py | Python | app/api/__init__.py | RomanBachaloSigmaSoftware/sample-app-mysure-python | 51d10ad3382996c429c73e1823c9e1df5d599207 | [
"MIT"
] | 4 | 2020-12-03T23:28:48.000Z | 2021-11-14T17:05:49.000Z | app/api/__init__.py | RomanBachaloSigmaSoftware/sample-app-mysure-python | 51d10ad3382996c429c73e1823c9e1df5d599207 | [
"MIT"
] | 8 | 2020-12-15T20:11:56.000Z | 2022-03-10T03:41:01.000Z | app/api/__init__.py | RomanBachaloSigmaSoftware/sample-app-mysure-python | 51d10ad3382996c429c73e1823c9e1df5d599207 | [
"MIT"
] | 8 | 2020-05-17T14:31:16.000Z | 2022-03-09T12:27:14.000Z | from app.api.clickwrap import clickwrap
from app.api.common import common
from app.api.requests import requests
from app.api.auth import auth
| 28.4 | 39 | 0.830986 | 24 | 142 | 4.916667 | 0.333333 | 0.237288 | 0.338983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112676 | 142 | 4 | 40 | 35.5 | 0.936508 | 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 |
6b6c385e07c97b38425622a73e909c45610f3350 | 2,995 | py | Python | server/processes/migrations/0103_auto_20200418_2054.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | server/processes/migrations/0103_auto_20200418_2054.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | 6 | 2021-11-01T01:35:40.000Z | 2022-02-11T03:33:06.000Z | server/processes/migrations/0103_auto_20200418_2054.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | # Generated by Django 2.2.12 on 2020-04-18 20:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('processes', '0102_processexecution_heartbeat_interval_seconds'),
]
operations = [
migrations.AddField(
model_name='processexecution',
name='api_max_retries',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='api_max_retries_for_final_update',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='api_max_retries_for_process_creation_conflict',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='api_retry_delay_seconds',
field=models.PositiveIntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='api_timeout_seconds',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='command',
field=models.CharField(blank=True, max_length=5000),
),
migrations.AddField(
model_name='processexecution',
name='deployment',
field=models.CharField(blank=True, max_length=200),
),
migrations.AddField(
model_name='processexecution',
name='is_service',
field=models.BooleanField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='is_status_listener_enabled',
field=models.BooleanField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='max_conflicting_age_seconds',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='process_max_concurrency',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='process_max_retries',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='process_retry_delay_seconds',
field=models.PositiveIntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='processexecution',
name='process_timeout_seconds',
field=models.IntegerField(blank=True, null=True),
),
]
| 35.654762 | 75 | 0.580968 | 262 | 2,995 | 6.435115 | 0.236641 | 0.149466 | 0.190985 | 0.224199 | 0.827402 | 0.827402 | 0.799526 | 0.724199 | 0.724199 | 0.658363 | 0 | 0.013196 | 0.316861 | 2,995 | 83 | 76 | 36.084337 | 0.81085 | 0.015359 | 0 | 0.701299 | 1 | 0 | 0.204958 | 0.09567 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.012987 | 0 | 0.051948 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
2e24a2219bbb9d98aaaf627353bbd9dd57685acc | 118 | py | Python | test/__init__.py | jesopo/scpl | 1fa5acfb468ab212276781fa1760bb5eda438c23 | [
"MIT"
] | null | null | null | test/__init__.py | jesopo/scpl | 1fa5acfb468ab212276781fa1760bb5eda438c23 | [
"MIT"
] | 2 | 2021-11-15T11:12:14.000Z | 2021-11-15T17:35:27.000Z | test/__init__.py | jesopo/scpl | 1fa5acfb468ab212276781fa1760bb5eda438c23 | [
"MIT"
] | null | null | null | from .lexer import *
from .eval import *
from .parser import *
from .parser_operators import *
from .regex import *
| 14.75 | 31 | 0.728814 | 16 | 118 | 5.3125 | 0.4375 | 0.470588 | 0.376471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186441 | 118 | 7 | 32 | 16.857143 | 0.885417 | 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 |
2e43778eb12b90847605bcf4dedc7c85859ff5f3 | 12,414 | py | Python | tests/unit/pypyr/utils/poll_test.py | FooBarQuaxx/pypyr | ebe56b2200a53e2f38c78bbb42d466bb1556c37c | [
"Apache-2.0"
] | null | null | null | tests/unit/pypyr/utils/poll_test.py | FooBarQuaxx/pypyr | ebe56b2200a53e2f38c78bbb42d466bb1556c37c | [
"Apache-2.0"
] | null | null | null | tests/unit/pypyr/utils/poll_test.py | FooBarQuaxx/pypyr | ebe56b2200a53e2f38c78bbb42d466bb1556c37c | [
"Apache-2.0"
] | null | null | null | """poll.py unit tests."""
import logging
from unittest.mock import call, MagicMock, patch
import pypyr.utils.poll as poll
# ----------------- wait_until_true -------------------------------------------
from tests.common.utils import patch_logger
@patch('time.sleep')
def test_wait_until_true_with_static_decorator(mock_time_sleep):
"""wait_until_true with static decorator."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'expected value',
'test string 5'
]
@poll.wait_until_true(interval=0.01, max_attempts=10)
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
if mock(arg1) == 'expected value':
return True
else:
return False
assert decorate_me('v1', 'v2')
assert mock.call_count == 4
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 3
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_wait_until_true_invoke_inline(mock_time_sleep):
"""wait_until_true with dynamic invocation."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'expected value',
'test string 5'
]
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
if mock(arg1) == 'expected value':
return True
else:
return False
assert poll.wait_until_true(interval=0.01, max_attempts=10)(
decorate_me)('v1', 'v2')
assert mock.call_count == 4
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 3
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_wait_until_true_with_timeout(mock_time_sleep):
"""wait_until_true with dynamic invocation, exhaust wait attempts."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'test string 4',
'test string 5',
'test string 6',
'test string 7',
'test string 8',
'test string 9',
'test string 10',
'test string 11',
]
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
if mock(arg1) == 'expected value':
return True
else:
return False
assert not poll.wait_until_true(interval=0.01, max_attempts=10)(
decorate_me)('v1', 'v2')
assert mock.call_count == 10
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 9
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_wait_until_true_once_not_found(mock_time_sleep):
"""wait_until_true max_attempts 1."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
]
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
if mock(arg1) == 'expected value':
return True
else:
return False
assert not poll.wait_until_true(interval=0.01, max_attempts=1)(
decorate_me)('v1', 'v2')
mock.assert_called_once_with('v1')
mock_time_sleep.assert_not_called()
@patch('time.sleep')
def test_wait_until_true_once_found(mock_time_sleep):
"""wait_until_true max_attempts 1."""
mock = MagicMock()
mock.side_effect = [
'expected value',
'test string 2',
]
def decorate_me(arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
if mock(arg1) == 'expected value':
return True
else:
return False
assert poll.wait_until_true(interval=0.01, max_attempts=1)(
decorate_me)('v1', 'v2')
mock.assert_called_once_with('v1')
mock_time_sleep.assert_not_called()
# ----------------- wait_until_true -------------------------------------------
# ----------------- while_until_true -------------------------------------
@patch('time.sleep')
def test_while_until_true_with_static_decorator(mock_time_sleep):
"""while_until_true with static decorator."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'expected value',
'test string 5'
]
actual_counter = 0
@poll.while_until_true(interval=0.01, max_attempts=10)
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
if mock(arg1) == 'expected value':
return True
else:
return False
assert decorate_me('v1', 'v2')
assert mock.call_count == 4
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 3
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_while_until_true_invoke_inline(mock_time_sleep):
"""while_until_true with dynamic invocation."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'expected value',
'test string 5'
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
if mock(arg1) == 'expected value':
return True
else:
return False
assert poll.while_until_true(interval=0.01, max_attempts=10)(
decorate_me)('v1', 'v2')
assert mock.call_count == 4
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 3
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_while_until_true_with_exhaust(mock_time_sleep):
"""while_until_true with dynamic invocation, exhaust wait attempts."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'test string 4',
'test string 5',
'test string 6',
'test string 7',
'test string 8',
'test string 9',
'test string 10',
'test string 11',
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
out = mock(arg1)
assert out == f'test string {counter}'
if out == 'expected value':
return True
else:
return False
assert not poll.while_until_true(interval=0.01, max_attempts=10)(
decorate_me)('v1', 'v2')
assert mock.call_count == 10
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 9
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_while_until_true_once_not_found(mock_time_sleep):
"""while_until_true max_attempts 1."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
if mock(arg1) == 'expected value':
return True
else:
return False
assert not poll.while_until_true(interval=0.01, max_attempts=1)(
decorate_me)('v1', 'v2')
mock.assert_called_once_with('v1')
mock_time_sleep.assert_not_called()
@patch('time.sleep')
def test_while_until_true_once_found(mock_time_sleep):
"""wait_until_true max_attempts 1."""
mock = MagicMock()
mock.side_effect = [
'expected value',
'test string 2',
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
if mock(arg1) == 'expected value':
return True
else:
return False
assert poll.while_until_true(interval=0.01, max_attempts=1)(
decorate_me)('v1', 'v2')
mock.assert_called_once_with('v1')
mock_time_sleep.assert_not_called()
@patch('time.sleep')
def test_while_until_true_no_max(mock_time_sleep):
"""while_until_true with dynamic invocation, infinite (max is None)."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
'test string 4',
'test string 5',
'test string 6',
'test string 7',
'test string 8',
'test string 9',
'test string 10',
'test string 11',
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
out = mock(arg1)
assert out == f'test string {counter}'
if out == 'test string 11':
return True
else:
return False
with patch_logger('pypyr.utils.poll', logging.DEBUG) as mock_logger_debug:
assert (poll.while_until_true(interval=0.01,
max_attempts=None)(decorate_me)('v1',
'v2'))
assert mock_logger_debug.mock_calls == [
call('started'),
call('Looping every 0.01 seconds.'),
call('iteration 1. Still waiting. . .'),
call('iteration 2. Still waiting. . .'),
call('iteration 3. Still waiting. . .'),
call('iteration 4. Still waiting. . .'),
call('iteration 5. Still waiting. . .'),
call('iteration 6. Still waiting. . .'),
call('iteration 7. Still waiting. . .'),
call('iteration 8. Still waiting. . .'),
call('iteration 9. Still waiting. . .'),
call('iteration 10. Still waiting. . .'),
call('iteration 11. Desired state reached.'),
call('done')]
assert mock.call_count == 11
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 10
mock_time_sleep.assert_called_with(0.01)
@patch('time.sleep')
def test_while_until_true_max_exhaust(mock_time_sleep):
"""while_until_true with dynamic invocation, exhaust max."""
mock = MagicMock()
mock.side_effect = [
'test string 1',
'test string 2',
'test string 3',
]
actual_counter = 0
def decorate_me(counter, arg1, arg2):
"""Test static decorator syntax."""
assert arg1 == 'v1'
assert arg2 == 'v2'
nonlocal actual_counter
actual_counter += 1
assert actual_counter == counter
out = mock(arg1)
assert out == f'test string {counter}'
return False
with patch_logger('pypyr.utils.poll', logging.DEBUG) as mock_logger_debug:
assert not (poll.while_until_true(interval=0.01,
max_attempts=3)(decorate_me)('v1',
'v2'))
assert mock_logger_debug.mock_calls == [
call('started'),
call('Looping every 0.01 seconds for 3 attempts'),
call('iteration 1. Still waiting. . .'),
call('iteration 2. Still waiting. . .'),
call('iteration 3. Max attempts exhausted.'),
call('done')]
assert mock.call_count == 3
mock.assert_called_with('v1')
assert mock_time_sleep.call_count == 2
mock_time_sleep.assert_called_with(0.01)
# ----------------- while_until_true -------------------------------------
| 29.278302 | 79 | 0.582971 | 1,508 | 12,414 | 4.570292 | 0.06366 | 0.089959 | 0.06036 | 0.0296 | 0.926872 | 0.92484 | 0.91628 | 0.911492 | 0.895241 | 0.866657 | 0 | 0.036561 | 0.286129 | 12,414 | 423 | 80 | 29.347518 | 0.741142 | 0.098518 | 0 | 0.81982 | 0 | 0 | 0.168866 | 0 | 0 | 0 | 0 | 0 | 0.264264 | 1 | 0.072072 | false | 0 | 0.012012 | 0 | 0.153153 | 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 |
2e43fc1be571c9fed0404d0b65d021a29b3ee8a0 | 18,127 | py | Python | mlearner/preprocessing/replace_na.py | jaisenbe58r/MLearner | e768a4cad150b35fb5bf543ab28aa23764af51d9 | [
"MIT"
] | 6 | 2020-04-16T22:36:14.000Z | 2020-04-25T14:34:47.000Z | mlearner/preprocessing/replace_na.py | jaisenbe58r/MLearner | e768a4cad150b35fb5bf543ab28aa23764af51d9 | [
"MIT"
] | 9 | 2020-04-16T18:25:37.000Z | 2020-05-03T17:24:36.000Z | mlearner/preprocessing/replace_na.py | jaisenbe58r/MLearner | e768a4cad150b35fb5bf543ab28aa23764af51d9 | [
"MIT"
] | 1 | 2020-04-18T17:29:42.000Z | 2020-04-18T17:29:42.000Z |
"""Jaime Sendra Berenguer-2020.
MLearner Machine Learning Library Extensions
Author:Jaime Sendra Berenguer<www.linkedin.com/in/jaisenbe>
License: MIT
"""
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
class FillNaTransformer_median(BaseEstimator, TransformerMixin):
"""This transformer handles missing values.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_median/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if self.columns is None:
self.columns = X.select_dtypes(exclude=["object"]).columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
self.train_median = X[self.columns].median()
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "train_median"):
raise AttributeError("FillNaTransformer_median has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
X[self.columns] = X[self.columns].fillna(self.train_median)
return X
class FillNaTransformer_mean(BaseEstimator, TransformerMixin):
"""This transformer handles missing values.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_mean/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if self.columns is None:
self.columns = X.select_dtypes(exclude=["object"]).columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
self.train_mean = X[self.columns].mean()
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "train_mean"):
raise AttributeError("FillNaTransformer_median has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
X[self.columns] = X[self.columns].fillna(self.train_mean)
return X
class FillNaTransformer_idmax(BaseEstimator, TransformerMixin):
"""This transformer handles missing values for idmax.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_idmax/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if self.columns is None:
# self.columns = X.select_dtypes(exclude=["object"]).columnsX.select_dtypes(exclude=["object"]).columns
self.columns = X.columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
self._fitted = True
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "_fitted"):
raise AttributeError("FillNaTransformer_idmax has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
for col in self.columns:
X[col] = X[col].fillna(X[col].value_counts().idxmax())
return X
class FillNaTransformer_any(BaseEstimator, TransformerMixin):
"""This transformer delete row that there is some NaN.
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_any/
"""
def __init__(self):
"""Init replace missing values."""
def fit(self, X, y=None, **fit_params):
"""Not implemented.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
return self
def transform(self, X):
"""This transformer delete row that there is some NaN
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
self.columns = X.columns
X.dropna(axis=0, how="any", inplace=True)
# X.reset_index()
# X.drop(["index"], axis=1)
return X
class FillNaTransformer_all(BaseEstimator, TransformerMixin):
"""This transformer delete row that there is all NaN.
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_all/
"""
def __init__(self):
"""Init replace missing values."""
def fit(self, X, y=None, **fit_params):
"""Not implemented.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
return self
def transform(self, X):
"""This transformer delete row that there is some NaN
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
self.columns = X.columns
X.dropna(axis=0, how="all", inplace=True)
# X.reset_index()
# X.drop(["index"], axis=1, inplace=True)
return X
class FillNaTransformer_value(BaseEstimator, TransformerMixin):
"""This transformer handles missing values.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_value/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, value=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if value is not None:
if (not isinstance(value, bool) and not isinstance(value, int)
and not isinstance(value, float) and not isinstance(value, str)):
raise NameError("Type value not permited: {}".format(type(value)))
else:
self.value = value
else:
raise NameError("Not alowed value=None")
if self.columns is None:
self.columns = X.select_dtypes(exclude=["object"]).columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "value"):
raise AttributeError("FillNaTransformer_value has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
X[self.columns] = X[self.columns].fillna(self.value)
return X
class FillNaTransformer_backward(BaseEstimator, TransformerMixin):
"""This transformer handles missing values closer backward.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_backward/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if self.columns is None:
self.columns = X.columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
self._fitted = True
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "_fitted"):
raise AttributeError("FillNaTransformer_backward has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
X_transform = X.copy()
X_transform[self.columns] = X[self.columns].fillna(method="bfill")
return X_transform
class FillNaTransformer_forward(BaseEstimator, TransformerMixin):
"""This transformer handles missing values closer forward.
Attributes
----------
columns: list of columns to transformer [n_columns]
Examples
--------
For usage examples, please see
https://jaisenbe58r.github.io/MLearner/user_guide/preprocessing/FillNaTransformer_forward/
"""
def __init__(self, columns=None):
"""Init replace missing values."""
if columns is not None:
if isinstance(columns, list) or isinstance(columns, tuple):
self.columns = columns
else:
raise NameError("Invalid type {}".format(type(columns)))
else:
self.columns = columns
def fit(self, X, y=None, **fit_params):
"""Gets the columns to make a replace missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe, where n_samples is the number of samples and
n_features is the number of features.
Returns
--------
self
"""
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
if self.columns is None:
self.columns = X.columns
_lista = [i for i in self.columns if i not in X.columns.tolist()]
if len(_lista) > 0:
raise NameError("The columns {} no exist in Dataframe".format(_lista))
self._fitted = True
return self
def transform(self, X):
"""this transformer handles missing values.
Parameters
----------
X : {Dataframe}, shape = [n_samples, n_features]
Dataframe of samples, where n_samples is the number of samples and
n_features is the number of features.
Returns
-------
X : {Dataframe}, shape = [n_samples, n_features]
A copy of the input Dataframe with the columns replaced.
"""
if not hasattr(self, "_fitted"):
raise AttributeError("FillNaTransformer_backward has not been fitted, yet.")
if not isinstance(X, pd.core.frame.DataFrame):
raise NameError("Invalid type {}".format(type(X)))
X_transform = X.copy()
X_transform[self.columns] = X[self.columns].fillna(method="ffill")
return X_transform
| 30.619932 | 115 | 0.591218 | 2,081 | 18,127 | 5.05382 | 0.072081 | 0.054388 | 0.03347 | 0.039555 | 0.907103 | 0.90406 | 0.90406 | 0.897975 | 0.884663 | 0.872112 | 0 | 0.002353 | 0.29674 | 18,127 | 591 | 116 | 30.671743 | 0.822639 | 0.402273 | 0 | 0.824468 | 0 | 0 | 0.103426 | 0.015928 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12766 | false | 0 | 0.010638 | 0 | 0.265957 | 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 |
2e90cadea406e869651af5bcac5b45acadc3c7e1 | 160 | py | Python | profit/__init__.py | manal44/profit | a05a2eb0a5a14c36edc46cadfccce3f43fcc1a4e | [
"MIT"
] | null | null | null | profit/__init__.py | manal44/profit | a05a2eb0a5a14c36edc46cadfccce3f43fcc1a4e | [
"MIT"
] | null | null | null | profit/__init__.py | manal44/profit | a05a2eb0a5a14c36edc46cadfccce3f43fcc1a4e | [
"MIT"
] | null | null | null | from profit.main import *
from profit.config import *
from profit.post import *
from profit.pre import *
from profit.run.run import *
from profit.util import *
| 22.857143 | 28 | 0.76875 | 25 | 160 | 4.92 | 0.36 | 0.487805 | 0.650407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 160 | 6 | 29 | 26.666667 | 0.904412 | 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 |
cf228b069fed563cbebff0acfabb39c59989e225 | 65,299 | py | Python | infoblox_netmri/api/broker/v3_6_0/nios_grid_member_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/broker/v3_6_0/nios_grid_member_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/broker/v3_6_0/nios_grid_member_broker.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | from ..broker import Broker
class NiosGridMemberBroker(Broker):
controller = "nios_grid_members"
def index(self, **kwargs):
"""Lists the available nios grid members. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ways to query lists, using this method is most efficient.
**Inputs**
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier for the device from which NIOS GridMember entry was collected.
:type DeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier for the device from which NIOS GridMember entry was collected.
:type DeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberDeviceID: The internal NetMRI identifier of each device in the NIOS GridMember.
:type GridMemberDeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberDeviceID: The internal NetMRI identifier of each device in the NIOS GridMember.
:type GridMemberDeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberIPDotted: The management IP address of the switch, in dotted (or colon-delimited for IPv6) format.
:type GridMemberIPDotted: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberIPDotted: The management IP address of the switch, in dotted (or colon-delimited for IPv6) format.
:type GridMemberIPDotted: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the nios grid members as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of nios grid member methods. The listed methods will be called on each nios grid member returned and included in the output. Available methods are: device.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: device.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` GridMemberStatusID
:param sort: The data field(s) to use for sorting the output. Default is GridMemberStatusID. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each NiosGridMember. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return nios_grid_members: An array of the NiosGridMember objects that match the specified input criteria.
:rtype nios_grid_members: Array of NiosGridMember
"""
return self.api_list_request(self._get_method_fullname("index"), kwargs)
def show(self, **kwargs):
"""Shows the details for the specified nios grid member.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of nios grid member methods. The listed methods will be called on each nios grid member returned and included in the output. Available methods are: device.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: device.
:type include: Array of String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return nios_grid_member: The nios grid member identified by the specified GridMemberStatusID.
:rtype nios_grid_member: NiosGridMember
"""
return self.api_request(self._get_method_fullname("show"), kwargs)
def search(self, **kwargs):
"""Lists the available nios grid members matching the input criteria. This method provides a more flexible search interface than the index method, but searching using this method is more demanding on the system and will not perform to the same level as the index method. The input fields listed below will be used as in the index method, to filter the result, along with the optional query string and XML filter described below.
**Inputs**
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record.
:type DataSourceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record.
:type DataSourceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier for the device from which NIOS GridMember entry was collected.
:type DeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceID: The internal NetMRI identifier for the device from which NIOS GridMember entry was collected.
:type DeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberChangedCols: The fields that changed between this revision of the record and the previous revision.
:type GridMemberChangedCols: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberChangedCols: The fields that changed between this revision of the record and the previous revision.
:type GridMemberChangedCols: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberDeviceID: The internal NetMRI identifier of each device in the NIOS GridMember.
:type GridMemberDeviceID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberDeviceID: The internal NetMRI identifier of each device in the NIOS GridMember.
:type GridMemberDeviceID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberEndTime: The ending effective time of this record, or empty if still in effect.
:type GridMemberEndTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberEndTime: The ending effective time of this record, or empty if still in effect.
:type GridMemberEndTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberFirstSeenTime: The timestamp of when NetMRI first discovered this interface in the NIOS GridMember.
:type GridMemberFirstSeenTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberFirstSeenTime: The timestamp of when NetMRI first discovered this interface in the NIOS GridMember.
:type GridMemberFirstSeenTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberIPDotted: The management IP address of the switch, in dotted (or colon-delimited for IPv6) format.
:type GridMemberIPDotted: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberIPDotted: The management IP address of the switch, in dotted (or colon-delimited for IPv6) format.
:type GridMemberIPDotted: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberIPNumeric: The numerical value of the GridMember.
:type GridMemberIPNumeric: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberIPNumeric: The numerical value of the GridMember.
:type GridMemberIPNumeric: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberLastRepTimeFromMaster: The last response time returned from master in the NIOS GridMember.
:type GridMemberLastRepTimeFromMaster: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberLastRepTimeFromMaster: The last response time returned from master in the NIOS GridMember.
:type GridMemberLastRepTimeFromMaster: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberLastRepTimeToMaster: The last response time sent to master of the NIOS grid member.
:type GridMemberLastRepTimeToMaster: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberLastRepTimeToMaster: The last response time sent to master of the NIOS grid member.
:type GridMemberLastRepTimeToMaster: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberQueueFromMaster: The grid member queue return from master in the NIOS GridMember.
:type GridMemberQueueFromMaster: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberQueueFromMaster: The grid member queue return from master in the NIOS GridMember.
:type GridMemberQueueFromMaster: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberQueueToMaster: The grid member queue sent to master in the NIOs GridMember.
:type GridMemberQueueToMaster: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberQueueToMaster: The grid member queue sent to master in the NIOs GridMember.
:type GridMemberQueueToMaster: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberStartTime: The starting effective time of this record.
:type GridMemberStartTime: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberStartTime: The starting effective time of this record.
:type GridMemberStartTime: Array of DateTime
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberStatus: The status of the NIOS GridMember.
:type GridMemberStatus: String
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberStatus: The status of the NIOS GridMember.
:type GridMemberStatus: Array of String
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Array of Integer
| ``api version min:`` 2.4
| ``api version max:`` 2.4
| ``required:`` False
| ``default:`` None
:param GridMemberTimestamp: The date and time this record was collected or calculated.
:type GridMemberTimestamp: DateTime
| ``api version min:`` 2.5
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param GridMemberTimestamp: The date and time this record was collected or calculated.
:type GridMemberTimestamp: Array of DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the nios grid members as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of nios grid member methods. The listed methods will be called on each nios grid member returned and included in the output. Available methods are: device.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: device.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` GridMemberStatusID
:param sort: The data field(s) to use for sorting the output. Default is GridMemberStatusID. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each NiosGridMember. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param query: This value will be matched against nios grid members, looking to see if one or more of the listed attributes contain the passed value. You may also surround the value with '/' and '/' to perform a regular expression search rather than a containment operation. Any record that matches will be returned. The attributes searched are: DataSourceID, DeviceID, GridMemberChangedCols, GridMemberDeviceID, GridMemberEndTime, GridMemberFirstSeenTime, GridMemberIPDotted, GridMemberIPNumeric, GridMemberLastRepTimeFromMaster, GridMemberLastRepTimeToMaster, GridMemberQueueFromMaster, GridMemberQueueToMaster, GridMemberStartTime, GridMemberStatus, GridMemberStatusID, GridMemberTimestamp.
:type query: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return nios_grid_members: An array of the NiosGridMember objects that match the specified input criteria.
:rtype nios_grid_members: Array of NiosGridMember
"""
return self.api_list_request(self._get_method_fullname("search"), kwargs)
def find(self, **kwargs):
"""Lists the available nios grid members matching the input specification. This provides the most flexible search specification of all the query mechanisms, enabling searching using comparison operations other than equality. However, it is more complex to use and will not perform as efficiently as the index or search methods. In the input descriptions below, 'field names' refers to the following fields: DataSourceID, DeviceID, GridMemberChangedCols, GridMemberDeviceID, GridMemberEndTime, GridMemberFirstSeenTime, GridMemberIPDotted, GridMemberIPNumeric, GridMemberLastRepTimeFromMaster, GridMemberLastRepTimeToMaster, GridMemberQueueFromMaster, GridMemberQueueToMaster, GridMemberStartTime, GridMemberStatus, GridMemberStatusID, GridMemberTimestamp.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DataSourceID: The operator to apply to the field DataSourceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DataSourceID: The internal NetMRI identifier for the collector NetMRI that collected this data record. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DataSourceID: If op_DataSourceID is specified, the field named in this input will be compared to the value in DataSourceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DataSourceID must be specified if op_DataSourceID is specified.
:type val_f_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DataSourceID: If op_DataSourceID is specified, this value will be compared to the value in DataSourceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DataSourceID must be specified if op_DataSourceID is specified.
:type val_c_DataSourceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_DeviceID: The operator to apply to the field DeviceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. DeviceID: The internal NetMRI identifier for the device from which NIOS GridMember entry was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_DeviceID: If op_DeviceID is specified, the field named in this input will be compared to the value in DeviceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_DeviceID must be specified if op_DeviceID is specified.
:type val_f_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_DeviceID: If op_DeviceID is specified, this value will be compared to the value in DeviceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_DeviceID must be specified if op_DeviceID is specified.
:type val_c_DeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberChangedCols: The operator to apply to the field GridMemberChangedCols. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberChangedCols: The fields that changed between this revision of the record and the previous revision. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberChangedCols: If op_GridMemberChangedCols is specified, the field named in this input will be compared to the value in GridMemberChangedCols using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberChangedCols must be specified if op_GridMemberChangedCols is specified.
:type val_f_GridMemberChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberChangedCols: If op_GridMemberChangedCols is specified, this value will be compared to the value in GridMemberChangedCols using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberChangedCols must be specified if op_GridMemberChangedCols is specified.
:type val_c_GridMemberChangedCols: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberDeviceID: The operator to apply to the field GridMemberDeviceID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberDeviceID: The internal NetMRI identifier of each device in the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberDeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberDeviceID: If op_GridMemberDeviceID is specified, the field named in this input will be compared to the value in GridMemberDeviceID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberDeviceID must be specified if op_GridMemberDeviceID is specified.
:type val_f_GridMemberDeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberDeviceID: If op_GridMemberDeviceID is specified, this value will be compared to the value in GridMemberDeviceID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberDeviceID must be specified if op_GridMemberDeviceID is specified.
:type val_c_GridMemberDeviceID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberEndTime: The operator to apply to the field GridMemberEndTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberEndTime: The ending effective time of this record, or empty if still in effect. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberEndTime: If op_GridMemberEndTime is specified, the field named in this input will be compared to the value in GridMemberEndTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberEndTime must be specified if op_GridMemberEndTime is specified.
:type val_f_GridMemberEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberEndTime: If op_GridMemberEndTime is specified, this value will be compared to the value in GridMemberEndTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberEndTime must be specified if op_GridMemberEndTime is specified.
:type val_c_GridMemberEndTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberFirstSeenTime: The operator to apply to the field GridMemberFirstSeenTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberFirstSeenTime: The timestamp of when NetMRI first discovered this interface in the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberFirstSeenTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberFirstSeenTime: If op_GridMemberFirstSeenTime is specified, the field named in this input will be compared to the value in GridMemberFirstSeenTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberFirstSeenTime must be specified if op_GridMemberFirstSeenTime is specified.
:type val_f_GridMemberFirstSeenTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberFirstSeenTime: If op_GridMemberFirstSeenTime is specified, this value will be compared to the value in GridMemberFirstSeenTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberFirstSeenTime must be specified if op_GridMemberFirstSeenTime is specified.
:type val_c_GridMemberFirstSeenTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberIPDotted: The operator to apply to the field GridMemberIPDotted. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberIPDotted: The management IP address of the switch, in dotted (or colon-delimited for IPv6) format. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberIPDotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberIPDotted: If op_GridMemberIPDotted is specified, the field named in this input will be compared to the value in GridMemberIPDotted using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberIPDotted must be specified if op_GridMemberIPDotted is specified.
:type val_f_GridMemberIPDotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberIPDotted: If op_GridMemberIPDotted is specified, this value will be compared to the value in GridMemberIPDotted using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberIPDotted must be specified if op_GridMemberIPDotted is specified.
:type val_c_GridMemberIPDotted: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberIPNumeric: The operator to apply to the field GridMemberIPNumeric. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberIPNumeric: The numerical value of the GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberIPNumeric: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberIPNumeric: If op_GridMemberIPNumeric is specified, the field named in this input will be compared to the value in GridMemberIPNumeric using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberIPNumeric must be specified if op_GridMemberIPNumeric is specified.
:type val_f_GridMemberIPNumeric: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberIPNumeric: If op_GridMemberIPNumeric is specified, this value will be compared to the value in GridMemberIPNumeric using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberIPNumeric must be specified if op_GridMemberIPNumeric is specified.
:type val_c_GridMemberIPNumeric: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberLastRepTimeFromMaster: The operator to apply to the field GridMemberLastRepTimeFromMaster. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberLastRepTimeFromMaster: The last response time returned from master in the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberLastRepTimeFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberLastRepTimeFromMaster: If op_GridMemberLastRepTimeFromMaster is specified, the field named in this input will be compared to the value in GridMemberLastRepTimeFromMaster using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberLastRepTimeFromMaster must be specified if op_GridMemberLastRepTimeFromMaster is specified.
:type val_f_GridMemberLastRepTimeFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberLastRepTimeFromMaster: If op_GridMemberLastRepTimeFromMaster is specified, this value will be compared to the value in GridMemberLastRepTimeFromMaster using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberLastRepTimeFromMaster must be specified if op_GridMemberLastRepTimeFromMaster is specified.
:type val_c_GridMemberLastRepTimeFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberLastRepTimeToMaster: The operator to apply to the field GridMemberLastRepTimeToMaster. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberLastRepTimeToMaster: The last response time sent to master of the NIOS grid member. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberLastRepTimeToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberLastRepTimeToMaster: If op_GridMemberLastRepTimeToMaster is specified, the field named in this input will be compared to the value in GridMemberLastRepTimeToMaster using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberLastRepTimeToMaster must be specified if op_GridMemberLastRepTimeToMaster is specified.
:type val_f_GridMemberLastRepTimeToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberLastRepTimeToMaster: If op_GridMemberLastRepTimeToMaster is specified, this value will be compared to the value in GridMemberLastRepTimeToMaster using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberLastRepTimeToMaster must be specified if op_GridMemberLastRepTimeToMaster is specified.
:type val_c_GridMemberLastRepTimeToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberQueueFromMaster: The operator to apply to the field GridMemberQueueFromMaster. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberQueueFromMaster: The grid member queue return from master in the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberQueueFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberQueueFromMaster: If op_GridMemberQueueFromMaster is specified, the field named in this input will be compared to the value in GridMemberQueueFromMaster using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberQueueFromMaster must be specified if op_GridMemberQueueFromMaster is specified.
:type val_f_GridMemberQueueFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberQueueFromMaster: If op_GridMemberQueueFromMaster is specified, this value will be compared to the value in GridMemberQueueFromMaster using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberQueueFromMaster must be specified if op_GridMemberQueueFromMaster is specified.
:type val_c_GridMemberQueueFromMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberQueueToMaster: The operator to apply to the field GridMemberQueueToMaster. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberQueueToMaster: The grid member queue sent to master in the NIOs GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberQueueToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberQueueToMaster: If op_GridMemberQueueToMaster is specified, the field named in this input will be compared to the value in GridMemberQueueToMaster using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberQueueToMaster must be specified if op_GridMemberQueueToMaster is specified.
:type val_f_GridMemberQueueToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberQueueToMaster: If op_GridMemberQueueToMaster is specified, this value will be compared to the value in GridMemberQueueToMaster using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberQueueToMaster must be specified if op_GridMemberQueueToMaster is specified.
:type val_c_GridMemberQueueToMaster: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberStartTime: The operator to apply to the field GridMemberStartTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberStartTime: The starting effective time of this record. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberStartTime: If op_GridMemberStartTime is specified, the field named in this input will be compared to the value in GridMemberStartTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberStartTime must be specified if op_GridMemberStartTime is specified.
:type val_f_GridMemberStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberStartTime: If op_GridMemberStartTime is specified, this value will be compared to the value in GridMemberStartTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberStartTime must be specified if op_GridMemberStartTime is specified.
:type val_c_GridMemberStartTime: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberStatus: The operator to apply to the field GridMemberStatus. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberStatus: The status of the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberStatus: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberStatus: If op_GridMemberStatus is specified, the field named in this input will be compared to the value in GridMemberStatus using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberStatus must be specified if op_GridMemberStatus is specified.
:type val_f_GridMemberStatus: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberStatus: If op_GridMemberStatus is specified, this value will be compared to the value in GridMemberStatus using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberStatus must be specified if op_GridMemberStatus is specified.
:type val_c_GridMemberStatus: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberStatusID: The operator to apply to the field GridMemberStatusID. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberStatusID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberStatusID: If op_GridMemberStatusID is specified, the field named in this input will be compared to the value in GridMemberStatusID using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberStatusID must be specified if op_GridMemberStatusID is specified.
:type val_f_GridMemberStatusID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberStatusID: If op_GridMemberStatusID is specified, this value will be compared to the value in GridMemberStatusID using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberStatusID must be specified if op_GridMemberStatusID is specified.
:type val_c_GridMemberStatusID: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param op_GridMemberTimestamp: The operator to apply to the field GridMemberTimestamp. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. GridMemberTimestamp: The date and time this record was collected or calculated. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values.
:type op_GridMemberTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_f_GridMemberTimestamp: If op_GridMemberTimestamp is specified, the field named in this input will be compared to the value in GridMemberTimestamp using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_GridMemberTimestamp must be specified if op_GridMemberTimestamp is specified.
:type val_f_GridMemberTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param val_c_GridMemberTimestamp: If op_GridMemberTimestamp is specified, this value will be compared to the value in GridMemberTimestamp using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_GridMemberTimestamp must be specified if op_GridMemberTimestamp is specified.
:type val_c_GridMemberTimestamp: String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param DeviceGroupID: The internal NetMRI identifier of the device groups to which to limit the results.
:type DeviceGroupID: Array of Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param timestamp: The data returned will represent the nios grid members as of this date and time. If omitted, the result will indicate the most recently collected data.
:type timestamp: DateTime
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param methods: A list of nios grid member methods. The listed methods will be called on each nios grid member returned and included in the output. Available methods are: device.
:type methods: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param include: A list of associated object types to include in the output. The listed associations will be returned as outputs named according to the association name (see outputs below). Available includes are: device.
:type include: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 0
:param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information.
:type start: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` 1000
:param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000.
:type limit: Integer
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` GridMemberStatusID
:param sort: The data field(s) to use for sorting the output. Default is GridMemberStatusID. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster.
:type sort: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` asc
:param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'.
:type dir: Array of String
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param select: The list of attributes to return for each NiosGridMember. Valid values are DataSourceID, GridMemberStatusID, GridMemberStartTime, GridMemberEndTime, GridMemberChangedCols, GridMemberTimestamp, GridMemberFirstSeenTime, DeviceID, GridMemberDeviceID, GridMemberIPDotted, GridMemberIPNumeric, GridMemberStatus, GridMemberQueueFromMaster, GridMemberLastRepTimeFromMaster, GridMemberQueueToMaster, GridMemberLastRepTimeToMaster. If empty or omitted, all attributes will be returned.
:type select: Array
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_field: The field name for NIOS GOTO that is used for locating a row position of records.
:type goto_field: String
| ``api version min:`` 2.8
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records.
:type goto_value: String
| ``api version min:`` 2.3
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering.
:type xml_filter: String
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return nios_grid_members: An array of the NiosGridMember objects that match the specified input criteria.
:rtype nios_grid_members: Array of NiosGridMember
"""
return self.api_list_request(self._get_method_fullname("find"), kwargs)
def data_source(self, **kwargs):
"""The collector NetMRI that collected this data record.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return : The collector NetMRI that collected this data record.
:rtype : DataSource
"""
return self.api_request(self._get_method_fullname("data_source"), kwargs)
def device(self, **kwargs):
"""The device from which this data was collected.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return : The device from which this data was collected.
:rtype : Device
"""
return self.api_request(self._get_method_fullname("device"), kwargs)
def infradevice(self, **kwargs):
"""The device from which this data was collected.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` True
| ``default:`` None
:param GridMemberStatusID: The internal NetMRI identifier of the status in the NIOS GridMember.
:type GridMemberStatusID: Integer
**Outputs**
| ``api version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` None
:return : The device from which this data was collected.
:rtype : InfraDevice
"""
return self.api_request(self._get_method_fullname("infradevice"), kwargs)
| 54.461218 | 762 | 0.626947 | 7,429 | 65,299 | 5.462512 | 0.041325 | 0.067519 | 0.043888 | 0.071561 | 0.949484 | 0.948695 | 0.914221 | 0.901506 | 0.893078 | 0.893078 | 0 | 0.004428 | 0.294537 | 65,299 | 1,199 | 763 | 54.461218 | 0.876503 | 0.826123 | 0 | 0 | 0 | 0 | 0.053827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.411765 | false | 0 | 0.058824 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
cf2dc22cc4d04d198fe1745a55b448033abbfafa | 205 | py | Python | src/pretix/helpers/debug.py | alainrk/pretix | 867a8132aa1ed73dd9513efae5b3c46b5bbae140 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-08-31T13:16:55.000Z | 2021-08-31T13:16:55.000Z | src/pretix/helpers/debug.py | alainrk/pretix | 867a8132aa1ed73dd9513efae5b3c46b5bbae140 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/pretix/helpers/debug.py | alainrk/pretix | 867a8132aa1ed73dd9513efae5b3c46b5bbae140 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from debug_toolbar.middleware import DebugToolbarMiddleware
from django.utils.deprecation import MiddlewareMixin
class DebugMiddlewareCompatibilityShim(MiddlewareMixin, DebugToolbarMiddleware):
pass
| 29.285714 | 80 | 0.878049 | 17 | 205 | 10.529412 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087805 | 205 | 6 | 81 | 34.166667 | 0.957219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.25 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
cf64e897f622f8f3a074fa029e115fc429591fcf | 369 | py | Python | mlflow/models/evaluation/__init__.py | devlibx/mlflowx | 291c51161ec26450b1e79c8e4a32af960da79591 | [
"Apache-2.0"
] | 1 | 2022-01-07T05:51:52.000Z | 2022-01-07T05:51:52.000Z | mlflow/models/evaluation/__init__.py | devlibx/mlflowx | 291c51161ec26450b1e79c8e4a32af960da79591 | [
"Apache-2.0"
] | null | null | null | mlflow/models/evaluation/__init__.py | devlibx/mlflowx | 291c51161ec26450b1e79c8e4a32af960da79591 | [
"Apache-2.0"
] | null | null | null | from mlflow.models.evaluation.base import (
ModelEvaluator,
EvaluationDataset,
EvaluationResult,
EvaluationMetrics,
EvaluationArtifact,
evaluate,
list_evaluators,
)
__all__ = [
"ModelEvaluator",
"EvaluationDataset",
"EvaluationResult",
"EvaluationMetrics",
"EvaluationArtifact",
"evaluate",
"list_evaluators",
]
| 18.45 | 43 | 0.685637 | 23 | 369 | 10.73913 | 0.652174 | 0.251012 | 0.380567 | 0.518219 | 0.842105 | 0.842105 | 0.842105 | 0.842105 | 0 | 0 | 0 | 0 | 0.216802 | 369 | 19 | 44 | 19.421053 | 0.854671 | 0 | 0 | 0 | 0 | 0 | 0.284553 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0 | 1 | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
d8624a6e39889501aae808d4d055de567b890b3c | 211 | py | Python | primeiros exercicios/sen.cos.tan.py | Pedroluis1/python | d949fa2646c049aa51a41a32dc62de7b14eae90f | [
"MIT"
] | null | null | null | primeiros exercicios/sen.cos.tan.py | Pedroluis1/python | d949fa2646c049aa51a41a32dc62de7b14eae90f | [
"MIT"
] | null | null | null | primeiros exercicios/sen.cos.tan.py | Pedroluis1/python | d949fa2646c049aa51a41a32dc62de7b14eae90f | [
"MIT"
] | null | null | null | import math
an = float(input('Digite um ângulo: '))
print(f'O ângulo tem o seno de {math.sin(math.radians(an)):.2f}, o Coseno de {math.cos(math.radians(an)):.2f} e a tangente é {math.tan(math.radians(an)):.2f}') | 70.333333 | 159 | 0.687204 | 41 | 211 | 3.536585 | 0.585366 | 0.227586 | 0.268966 | 0.310345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015957 | 0.109005 | 211 | 3 | 159 | 70.333333 | 0.755319 | 0 | 0 | 0 | 0 | 0.333333 | 0.787736 | 0.457547 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 8 |
d8d70a31c00da1605870c367d3ca161401bd6a43 | 8,044 | py | Python | flatten_test.py | dcirne/flatten | 0806eb9789d461cb6a0fdb6a12b7021e8debbf90 | [
"Apache-2.0"
] | null | null | null | flatten_test.py | dcirne/flatten | 0806eb9789d461cb6a0fdb6a12b7021e8debbf90 | [
"Apache-2.0"
] | null | null | null | flatten_test.py | dcirne/flatten | 0806eb9789d461cb6a0fdb6a12b7021e8debbf90 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Dalmo Cirne
#
# 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 flatten # Python module containing the C++ implementation
import flatten_python # Pure Python implementation
import json
import pytest
def test_flatten_python():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
with open('validation.json', 'r') as validation_file:
validation_json = validation_file.read()
flatten_arrays = False
flatten_str = flatten_python.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 10)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == ["Non-Fiction", "Technology"])
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
assert(flatten_dict["genre"] == "Unknown")
def test_flatten_cpp():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
with open('validation.json', 'r') as validation_file:
validation_json = validation_file.read()
flatten_arrays = False
flatten_str = flatten.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 10)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == ["Non-Fiction", "Technology"])
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
assert(flatten_dict["genre"] == "Unknown")
def test_flatten_python_including_arrays():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
with open('validation.json', 'r') as validation_file:
validation_json = validation_file.read()
flatten_arrays = True
flatten_str = flatten_python.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 10)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == "Non-Fiction")
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
assert(flatten_dict["genre"] == "Unknown")
def test_flatten_cpp_including_arrays():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
with open('validation.json', 'r') as validation_file:
validation_json = validation_file.read()
flatten_arrays = True
flatten_str = flatten.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 10)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == "Non-Fiction")
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
assert(flatten_dict["genre"] == "Unknown")
def test_invalid_json_python():
json_data = '{"invalid":'
with pytest.raises(Exception):
flatten_str = flatten_python.flatten_json(json_data, False, "")
assert(len(flatten_str) == 0)
assert(flatten_str == "")
def test_invalid_json_cpp():
json_data = '{"invalid":'
flatten_str = flatten.flatten_json(json_data, False, "")
assert(len(flatten_str) == 0)
assert(flatten_str == "")
def test_empty_json_python():
json_data = ""
with pytest.raises(Exception):
flatten_str = flatten_python.flatten_json(json_data, False, "")
assert(len(flatten_str) == 0)
assert(flatten_str == "")
def test_empty_json_cpp():
json_data = ""
flatten_str = flatten.flatten_json(json_data, False, "")
assert(len(flatten_str) == 0)
assert(flatten_str == "")
def test_invalid_validation_python():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
validation_json = '[{"name":"missing_field_with_no_default"}]'
flatten_arrays = True
flatten_str = flatten_python.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
assert(flatten_str == "")
def test_invalid_validation_cpp():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
validation_json = '[{"name":"missing_field_with_no_default"}]'
flatten_arrays = True
flatten_str = flatten.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
assert(flatten_str == "")
def test_empty_validation_python():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
validation_json = ""
flatten_arrays = False
flatten_str = flatten_python.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 9)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == ["Non-Fiction", "Technology"])
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
def test_empty_validation_cpp():
with open('sample.json', 'r') as json_file:
json_data = json_file.read()
validation_json = ""
flatten_arrays = False
flatten_str = flatten.flatten_json(json_data, flatten_arrays, validation_json)
assert(flatten_str is not None)
flatten_dict = json.loads(flatten_str)
assert(len(flatten_dict) == 9)
assert(flatten_dict["isbn"] == "123-456-222")
assert(flatten_dict["author.lastname"] == "Doe")
assert(flatten_dict["author.firstname"] == "Jane")
assert(flatten_dict["editor.lastname"] == "Smith")
assert(flatten_dict["editor.firstname"] == "Jane")
assert(flatten_dict["title"] == "The Ultimate Book in the Universe")
assert(flatten_dict["category"] == ["Non-Fiction", "Technology"])
assert(flatten_dict["price"] == 3.14)
assert(flatten_dict["Number of pages"] == 42)
| 38.859903 | 89 | 0.691447 | 1,048 | 8,044 | 5.069656 | 0.124046 | 0.176172 | 0.185583 | 0.042914 | 0.874271 | 0.874271 | 0.87333 | 0.872012 | 0.872012 | 0.872012 | 0 | 0.015819 | 0.166957 | 8,044 | 206 | 90 | 39.048544 | 0.777048 | 0.077449 | 0 | 0.898734 | 0 | 0 | 0.18555 | 0.011344 | 0 | 0 | 0 | 0 | 0.518987 | 1 | 0.075949 | false | 0 | 0.025316 | 0 | 0.101266 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
2b14dc79b9108e19c222929eb02014d6730f5b90 | 448 | py | Python | output/models/saxon_data/cta/cta0006_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/saxon_data/cta/cta0006_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/saxon_data/cta/cta0006_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.saxon_data.cta.cta0006_xsd.cta0006 import (
DateMessageType,
DecimalMessageType,
IntMessageType,
Message,
MessageType,
Messages,
QNameMessageType,
StringMessageType,
TimeMessageType,
)
__all__ = [
"DateMessageType",
"DecimalMessageType",
"IntMessageType",
"Message",
"MessageType",
"Messages",
"QNameMessageType",
"StringMessageType",
"TimeMessageType",
]
| 18.666667 | 62 | 0.674107 | 29 | 448 | 10.206897 | 0.655172 | 0.222973 | 0.317568 | 0.364865 | 0.817568 | 0.817568 | 0.817568 | 0.817568 | 0.817568 | 0 | 0 | 0.022989 | 0.223214 | 448 | 23 | 63 | 19.478261 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0.270089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 0 | 1 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 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 | 10 |
5111b7870e682c1db9ccf1fb8ffd180fe473ce6f | 51,177 | py | Python | application/src/pytest/python/modules/user_profiles/routes_admin_test.py | okebinda/base.api.python | fdf6dc02ab73d588919f38d6017788f7822cfd04 | [
"Apache-2.0"
] | null | null | null | application/src/pytest/python/modules/user_profiles/routes_admin_test.py | okebinda/base.api.python | fdf6dc02ab73d588919f38d6017788f7822cfd04 | [
"Apache-2.0"
] | 2 | 2021-06-02T03:26:04.000Z | 2021-09-30T03:04:00.000Z | application/src/pytest/python/modules/user_profiles/routes_admin_test.py | okebinda/base.api.python | fdf6dc02ab73d588919f38d6017788f7822cfd04 | [
"Apache-2.0"
] | null | null | null | from copy import copy
import re
import base64
import pytest
from werkzeug.exceptions import NotFound, Unauthorized
from sqlalchemy.orm.exc import NoResultFound
from fixtures import Fixtures
from app import create_app
from config import Config
from modules.user_profiles.routes_admin import get_user_profiles, \
post_user_profiles, get_user_profile, put_user_profile, delete_user_profile
from modules.user_profiles.model import UserProfile
from modules.users.model import User
from modules.app_keys.model import AppKey
from modules.administrators.model import Administrator
from modules.roles.model import Role
@pytest.fixture
def app(request):
config = copy(Config)
config.TESTING = True
config.APP_TYPE = 'admin' if 'admin_api' in request.keywords else 'public'
app = create_app(config)
if 'unit' in request.keywords:
yield app
else:
fixtures = Fixtures(app)
fixtures.setup()
yield app
fixtures.teardown()
# UNIT TESTS
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles(app, mocker):
expected_status = 200
expected_length = 2
expected_json = {
'created_at': None,
'first_name': None,
'id': None,
'joined_at': None,
'last_name': None,
'status': None,
'status_changed_at': None,
'user_id': None,
'updated_at': None,
}
expected_limit = 10
expected_page = 1
expected_total = 2
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = [UserProfile()] * expected_length
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = expected_total
result = get_user_profiles()
assert result[1] == expected_status
assert len(result[0].json['user_profiles']) == expected_length
assert result[0].json['user_profiles'][0] == expected_json
assert result[0].json['limit'] == expected_limit
assert result[0].json['page'] == expected_page
assert result[0].json['total'] == expected_total
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_limit_10_page_2_of_3(app, mocker):
expected_status = 200
expected_length = 10
expected_json = {
'created_at': None,
'first_name': None,
'id': None,
'joined_at': None,
'last_name': None,
'status': None,
'status_changed_at': None,
'user_id': None,
'updated_at': None,
}
expected_limit = 10
expected_page = 2
expected_total = 25
expected_previous_uri = 'http://localhost/user_profiles/1/10'
expected_next_uri = 'http://localhost/user_profiles/3/10'
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = [UserProfile()] * expected_length
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = expected_total
result = get_user_profiles(expected_page, expected_limit)
assert result[1] == expected_status
assert len(result[0].json['user_profiles']) == expected_length
assert result[0].json['user_profiles'][0] == expected_json
assert result[0].json['previous_uri'] == expected_previous_uri
assert result[0].json['next_uri'] == expected_next_uri
assert result[0].json['limit'] == expected_limit
assert result[0].json['page'] == expected_page
assert result[0].json['total'] == expected_total
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_empty(app, mocker):
expected_status = 204
expected_content = ''
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = []
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = 15
result = get_user_profiles(5, 10)
assert result[1] == expected_status
assert result[0] == expected_content
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_route(app, mocker, client):
expected_status = 200
expected_length = 10
expected_limit = 10
expected_page = 1
expected_total = 15
expected_next_uri = 'http://localhost/user_profiles/2/10'
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = [UserProfile()] * expected_length
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = expected_total
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get("/user_profiles?app_key=123",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert len(response.json['user_profiles']) == expected_length
assert response.json['limit'] == expected_limit
assert response.json['page'] == expected_page
assert response.json['total'] == expected_total
assert response.json['next_uri'] == expected_next_uri
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_limit_5_page_2_of_3_route(app, mocker, client):
expected_status = 200
expected_length = 5
expected_limit = 5
expected_page = 2
expected_total = 12
expected_next_uri = 'http://localhost/user_profiles/3/5'
expected_previous_uri = 'http://localhost/user_profiles/1/5'
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = [UserProfile()] * expected_length
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = expected_total
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get(
"/user_profiles/{}/{}?app_key=123".format(expected_page,
expected_limit),
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert len(response.json['user_profiles']) == expected_length
assert response.json['limit'] == expected_limit
assert response.json['page'] == expected_page
assert response.json['total'] == expected_total
assert response.json['next_uri'] == expected_next_uri
assert response.json['previous_uri'] == expected_previous_uri
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_empty_route(app, mocker, client):
expected_status = 204
expected_json = None
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.limit.return_value \
.offset.return_value \
.__iter__.return_value = []
query_mock.return_value \
.filter.return_value \
.order_by.return_value \
.count.return_value = 15
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get("/user_profiles/3?app_key=123",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert response.json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_route_no_app_key(app, client):
expected_status = 401
response = client.get("/user_profiles")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_route_bad_app_key(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.side_effect = NoResultFound()
response = client.get("/user_profiles?app_key=BAD_KEY")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profiles_route_unauthorized(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login
auth_mock = mocker.patch('modules.administrators.Authentication')
auth_mock.verify_password.side_effect = Unauthorized()
response = client.get("/user_profiles?app_key=123")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_ok(app, mocker):
expected_status = 200
expected_json = {
'created_at': None,
'first_name': None,
'id': None,
'joined_at': None,
'last_name': None,
'status': None,
'status_changed_at': None,
'user_id': None,
'updated_at': None,
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.get.return_value = UserProfile()
result = get_user_profile(1)
assert result[1] == expected_status
assert result[0].json['user_profile'] == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_not_found(app, mocker):
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.get.return_value = None
try:
get_user_profile(250)
assert False
except NotFound:
assert True
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_route_ok(app, mocker, client):
expected_status = 200
# mock db query
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
# mock resource query
query_mock.return_value \
.get.return_value = UserProfile()
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get("/user_profile/1?app_key=123",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert 'user_profile' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_route_no_app_key(app, client):
expected_status = 401
response = client.get("/user_profile/1")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_route_bad_app_key(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.side_effect = NoResultFound()
response = client.get("/user_profile/1?app_key=BAD_KEY")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_get_user_profile_route_unauthorized(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login
auth_mock = mocker.patch('modules.administrators.Authentication')
auth_mock.verify_password.side_effect = Unauthorized()
response = client.get("/user_profile/1?app_key=123")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profile_ok(app, mocker):
expected_status = 201
expected_m_length = 9
expected_m_id = None
expected_m_user_id = 9
expected_m_first_name = "Service"
expected_m_last_name = "Account"
expected_m_joined_at = "2019-02-04T00:00:00+0000"
expected_m_status = UserProfile.STATUS_ENABLED
expected_m_created_at = None
expected_m_updated_at = None
# @todo: timezone
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}$")
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock exists() validation
user_9 = User()
user_9.id = 9
query_mock.return_value \
.get.return_value = user_9
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.add.return_value = None
db_mock.commit.return_value = None
result = post_user_profiles()
assert result[1] == expected_status
assert 'user_profile' in result[0].json
assert len(result[0].json['user_profile']) == expected_m_length
assert result[0].json['user_profile']['id'] == expected_m_id
assert result[0].json['user_profile']['user_id'] == expected_m_user_id
assert result[0].json['user_profile']['first_name'] == \
expected_m_first_name
assert result[0].json['user_profile']['last_name'] == expected_m_last_name
assert result[0].json['user_profile']['joined_at'] == expected_m_joined_at
assert result[0].json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
result[0].json['user_profile']['status_changed_at']))
assert result[0].json['user_profile']['created_at'] == \
expected_m_created_at
assert result[0].json['user_profile']['updated_at'] == \
expected_m_updated_at
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_required_fail(app, mocker):
expected_status = 400
expected_json = {
'error': {
'user_id': ['Missing data for required field.'],
'first_name': ['Missing data for required field.'],
'foo': ['Unknown field.'],
'joined_at': ['Missing data for required field.'],
'last_name': ['Missing data for required field.'],
'status': ['Missing data for required field.'],
}
}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {'foo': "bar"}
result = post_user_profiles()
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_user_exists_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'user_id': ['Invalid value.']}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 250,
'first_name': "Service",
'last_name': "Account",
'joined_at': "2019-02-04T00:00:00+0000",
'status': UserProfile.STATUS_ENABLED
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock exists() validation
query_mock.return_value \
.get.return_value = None
result = post_user_profiles()
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_min_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'first_name': ["Value must be between 1 and 40 characters long."],
'last_name': ["Value must be between 2 and 40 characters long."],
}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 9,
'first_name': "",
'last_name': "A",
'joined_at': "2019-02-04T00:00:00+0000",
'status': UserProfile.STATUS_ENABLED
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock exists() validation
user_9 = User()
user_9.id = 9
query_mock.return_value \
.get.return_value = user_9
result = post_user_profiles()
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_max_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'first_name': ["Value must be between 1 and 40 characters long."],
'last_name': ["Value must be between 2 and 40 characters long."],
}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 9,
'first_name': "LRUNzhfsbfrfZ4BT9N6R3SNYVfAAuQdQdTSmrwFew",
'last_name': "z3Sytm4QrL8g7J4kgugEABnhwXZAnCZmrngUCeeXm",
'joined_at': "2019-02-04T00:00:00+0000",
'status': UserProfile.STATUS_ENABLED
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock exists() validation
user_9 = User()
user_9.id = 9
query_mock.return_value \
.get.return_value = user_9
result = post_user_profiles()
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_type_fail(app, mocker):
expected_status = 400
expected_json = {
"error": {
'user_id': ['Not a valid integer.'],
'first_name': ['Not a valid string.'],
'joined_at': ['Not a valid datetime.'],
'last_name': ['Not a valid string.'],
'status': ['Not a valid integer.'],
}
}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 'bad',
'first_name': 123,
'joined_at': 123,
'last_name': 123,
'status': "bad",
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock exists() validation
query_mock.return_value \
.get.return_value = None
result = post_user_profiles()
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_route_ok(app, mocker, client):
expected_status = 201
expected_m_length = 9
expected_m_id = None
expected_m_user_id = 9
expected_m_first_name = "Service"
expected_m_last_name = "Account"
expected_m_joined_at = "2019-02-04T00:00:00+0000"
expected_m_status = UserProfile.STATUS_ENABLED
expected_m_created_at = None
expected_m_updated_at = None
# @todo: timezone
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}$")
data = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
# mock exists() validation
user_9 = User()
user_9.id = 9
query_mock.return_value \
.get.return_value = user_9
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.add.return_value = None
db_mock.commit.return_value = None
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.post(
"/user_profiles?app_key=123",
json=data,
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert 'user_profile' in response.json
assert len(response.json['user_profile']) == expected_m_length
assert response.json['user_profile']['id'] == expected_m_id
assert response.json['user_profile']['user_id'] == expected_m_user_id
assert response.json['user_profile']['first_name'] == \
expected_m_first_name
assert response.json['user_profile']['last_name'] == expected_m_last_name
assert response.json['user_profile']['joined_at'] == expected_m_joined_at
assert response.json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
response.json['user_profile']['status_changed_at']))
assert response.json['user_profile']['created_at'] == \
expected_m_created_at
assert response.json['user_profile']['updated_at'] == \
expected_m_updated_at
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_route_no_app_key(app, client):
expected_status = 401
response = client.post("/user_profiles")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_route_bad_app_key(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.side_effect = NoResultFound()
response = client.post("/user_profiles?app_key=BAD_KEY")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_post_user_profiles_route_unauthorized(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login
auth_mock = mocker.patch('modules.administrators.Authentication')
auth_mock.verify_password.side_effect = Unauthorized()
response = client.post("/user_profiles?app_key=123")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_ok(app, mocker):
expected_status = 200
expected_m_length = 9
expected_m_id = 2
expected_m_user_id = 9
expected_m_first_name = "LynneA"
expected_m_last_name = "HarfordA"
expected_m_joined_at = "2018-12-09T08:00:00+0000"
expected_m_status = UserProfile.STATUS_DISABLED
expected_m_created_at = None
expected_m_updated_at = None
# @todo: timezone
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}$")
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
user_profile_2 = UserProfile()
user_profile_2.id = expected_m_id
user_9 = User()
user_9.id = 9
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query and exists() validation
query_mock.return_value \
.get.side_effect = [user_profile_2, user_9]
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.commit.return_value = None
result = put_user_profile(expected_m_id)
assert result[1] == expected_status
assert 'user_profile' in result[0].json
assert len(result[0].json['user_profile']) == expected_m_length
assert result[0].json['user_profile']['id'] == expected_m_id
assert result[0].json['user_profile']['user_id'] == expected_m_user_id
assert result[0].json['user_profile']['first_name'] == \
expected_m_first_name
assert result[0].json['user_profile']['last_name'] == expected_m_last_name
assert result[0].json['user_profile']['joined_at'] == expected_m_joined_at
assert result[0].json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
result[0].json['user_profile']['status_changed_at']))
assert result[0].json['user_profile']['created_at'] == \
expected_m_created_at
assert result[0].json['user_profile']['updated_at'] == \
expected_m_updated_at
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_required_fail(app, mocker):
expected_status = 400
expected_json = {
'error': {
'user_id': ['Missing data for required field.'],
'first_name': ['Missing data for required field.'],
'foo': ['Unknown field.'],
'joined_at': ['Missing data for required field.'],
'last_name': ['Missing data for required field.'],
'status': ['Missing data for required field.'],
}
}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {'foo': "bar"}
user_profile_2 = UserProfile()
user_profile_2.id = 2
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query and exists() validation
query_mock.return_value \
.get.return_value = [user_profile_2, None]
result = put_user_profile(2)
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_user_exists_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'user_id': ['Invalid value.']}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 250,
'first_name': "LynneA",
'last_name': "HarfordA",
'joined_at': "2018-12-09T08:00:00+0000",
'status': UserProfile.STATUS_DISABLED
}
user_profile_2 = UserProfile()
user_profile_2.id = 2
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query and exists() validation
query_mock.return_value \
.get.side_effect = [user_profile_2, None]
result = put_user_profile(2)
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_min_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'first_name': ["Value must be between 1 and 40 characters long."],
'last_name': ["Value must be between 2 and 40 characters long."],
}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 9,
'first_name': "",
'last_name': "H",
'joined_at': "2018-12-09T08:00:00+0000",
'status': UserProfile.STATUS_DISABLED
}
user_profile_2 = UserProfile()
user_profile_2.id = 2
user_9 = User()
user_9.id = 9
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query and exists() validation
query_mock.return_value \
.get.side_effect = [user_profile_2, user_9]
result = put_user_profile(2)
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_max_fail(app, mocker):
expected_status = 400
expected_json = {'error': {
'first_name': ["Value must be between 1 and 40 characters long."],
'last_name': ["Value must be between 2 and 40 characters long."],
}}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 9,
'first_name': "pSJxpg6GC2qRnekNVDKMkYqNqAbd7X5UzsKuhVzf4",
'last_name': "J5ATwnHEfD5YqSQNTDcb9bFbaD6ZRZvL3b9ugjyUK",
'joined_at': "2018-12-09T08:00:00+0000",
'status': UserProfile.STATUS_DISABLED
}
user_profile_2 = UserProfile()
user_profile_2.id = 2
user_9 = User()
user_9.id = 9
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query and exists() validation
query_mock.return_value \
.get.side_effect = [user_profile_2, user_9]
result = put_user_profile(2)
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_type_fail(app, mocker):
expected_status = 400
expected_json = {
"error": {
'user_id': ['Not a valid integer.'],
'first_name': ['Not a valid string.'],
'joined_at': ['Not a valid datetime.'],
'last_name': ['Not a valid string.'],
'status': ['Not a valid integer.'],
}
}
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': 'bad',
'first_name': 123,
'joined_at': 123,
'last_name': 123,
'status': "bad",
}
user_profile_2 = UserProfile()
user_profile_2.id = 2
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock initial resource query
query_mock.return_value \
.get.side_effect = [user_profile_2, None]
result = put_user_profile(2)
assert result[1] == expected_status
assert result[0].json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_route_ok(app, mocker, client):
expected_status = 200
expected_m_length = 9
expected_m_id = 2
expected_m_user_id = 9
expected_m_first_name = "LynneA"
expected_m_last_name = "HarfordA"
expected_m_joined_at = "2018-12-09T08:00:00+0000"
expected_m_status = UserProfile.STATUS_DISABLED
expected_m_created_at = None
expected_m_updated_at = None
# @todo: timezone
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}$")
data = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
user_profile_2 = UserProfile()
user_profile_2.id = expected_m_id
user_9 = User()
user_9.id = 9
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
# mock initial resource query and exists() validation
query_mock.return_value \
.get.side_effect = [user_profile_2, user_9]
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.add.return_value = None
db_mock.commit.return_value = None
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.put(
"/user_profile/{}?app_key=123".format(expected_m_id),
json=data,
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert 'user_profile' in response.json
assert len(response.json['user_profile']) == expected_m_length
assert response.json['user_profile']['id'] == expected_m_id
assert response.json['user_profile']['user_id'] == expected_m_user_id
assert response.json['user_profile']['first_name'] == \
expected_m_first_name
assert response.json['user_profile']['last_name'] == expected_m_last_name
assert response.json['user_profile']['joined_at'] == expected_m_joined_at
assert response.json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
response.json['user_profile']['status_changed_at']))
assert response.json['user_profile']['created_at'] == \
expected_m_created_at
assert response.json['user_profile']['updated_at'] == \
expected_m_updated_at
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_route_no_app_key(app, client):
expected_status = 401
response = client.put("/user_profile/1")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_route_bad_app_key(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.side_effect = NoResultFound()
response = client.put("/user_profile/1?app_key=BAD_KEY")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_put_user_profile_route_unauthorized(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login
auth_mock = mocker.patch('modules.administrators.Authentication')
auth_mock.verify_password.side_effect = Unauthorized()
response = client.put("/user_profile/1?app_key=123")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_profile_ok(app, mocker):
expected_status = 204
expected_content = ''
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.get.return_value = UserProfile()
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.commit.return_value = None
result = delete_user_profile(7)
assert result[1] == expected_status
assert result[0] == expected_content
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_fail(app, mocker):
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
query_mock.return_value \
.get.return_value = None
try:
delete_user_profile(250)
assert False
except NotFound:
assert True
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_profile_route_ok(app, mocker, client):
expected_status = 204
expected_json = None
# mock db query
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login db query
role2 = Role()
role2.id = 2
role2.name = 'SUPER_ADMIN'
role2.password_reset_days = 365
admin1 = Administrator()
admin1.id = 1
admin1.password = 'admin1pass'
admin1.roles = [role2]
query_mock.return_value \
.filter.return_value \
.first.return_value = admin1
auth_db_mock = mocker.patch('modules.administrators.authentication.db')
auth_db_mock.add.return_value = None
auth_db_mock.commit.return_value = None
# mock resource query
query_mock.return_value \
.get.return_value = UserProfile()
# mock db commit
db_mock = mocker.patch('modules.user_profiles.routes_admin.db')
db_mock.commit.return_value = None
# mock user login
auth_mock = mocker.patch(
'modules.administrators.Authentication.is_account_locked')
auth_mock.return_value = False
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.delete("/user_profile/7?app_key=123",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert response.json == expected_json
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_profile_route_no_app_key(app, client):
expected_status = 401
response = client.delete("/user_profile/7")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_profile_route_bad_app_key(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.side_effect = NoResultFound()
response = client.delete("/user_profile/7?app_key=BAD_KEY")
assert response.status_code == expected_status
assert 'error' in response.json
@pytest.mark.unit
@pytest.mark.admin_api
def test_delete_user_profile_route_unauthorized(app, mocker, client):
expected_status = 401
query_mock = mocker.patch('flask_sqlalchemy._QueryProperty.__get__')
# mock app key authorization db query
query_mock.return_value \
.filter.return_value \
.one.return_value = AppKey()
# mock user login
auth_mock = mocker.patch('modules.administrators.Authentication')
auth_mock.verify_password.side_effect = Unauthorized()
response = client.delete("/user_profile/7?app_key=123")
assert response.status_code == expected_status
assert 'error' in response.json
# INTEGRATION TESTS
@pytest.mark.integration
@pytest.mark.admin_api
def test_get_user_profiles_route_with_data(client):
expected_status = 200
expected_json = {
"limit": 10,
"page": 1,
"total": 6,
"user_profiles": [
{
"created_at": "2018-12-01T00:00:00+0000",
"first_name": "Fiona",
"id": 1,
"joined_at": "2018-12-03T00:00:00+0000",
"last_name": "Farnham",
"status": 1,
"status_changed_at": "2018-12-04T00:00:00+0000",
"updated_at": "2018-12-02T00:00:00+0000",
"user_id": 1
},
{
"created_at": "2018-12-05T00:00:00+0000",
"first_name": "Lynne",
"id": 2,
"joined_at": "2018-12-07T00:00:00+0000",
"last_name": "Harford",
"status": 1,
"status_changed_at": "2018-12-08T00:00:00+0000",
"updated_at": "2018-12-06T00:00:00+0000",
"user_id": 2
},
{
"created_at": "2018-12-10T00:00:00+0000",
"first_name": "Duane",
"id": 3,
"joined_at": "2018-12-12T00:00:00+0000",
"last_name": "Hargrave",
"status": 1,
"status_changed_at": "2018-12-13T00:00:00+0000",
"updated_at": "2018-12-11T00:00:00+0000",
"user_id": 3
},
{
"created_at": "2018-12-20T00:00:00+0000",
"first_name": "Elroy",
"id": 5,
"joined_at": "2018-12-22T00:00:00+0000",
"last_name": "Hunnicutt",
"status": 2,
"status_changed_at": "2018-12-23T00:00:00+0000",
"updated_at": "2018-12-21T00:00:00+0000",
"user_id": 5
},
{
"created_at": "2018-12-25T00:00:00+0000",
"first_name": "Alease",
"id": 6,
"joined_at": "2018-12-27T00:00:00+0000",
"last_name": "Richards",
"status": 5,
"status_changed_at": "2018-12-28T00:00:00+0000",
"updated_at": "2018-12-26T00:00:00+0000",
"user_id": 6
},
{
"created_at": "2019-01-05T00:00:00+0000",
"first_name": "Luke",
"id": 8,
"joined_at": "2019-01-07T00:00:00+0000",
"last_name": "Tennyson",
"status": 1,
"status_changed_at": "2019-01-08T00:00:00+0000",
"updated_at": "2019-01-06T00:00:00+0000",
"user_id": 8
}
]
}
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get(
"/user_profiles?app_key=7sv3aPS45Ck8URGRKUtBdMWgKFN4ahfW",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert response.json == expected_json
@pytest.mark.integration
@pytest.mark.admin_api
def test_get_user_profile_2_route_with_data(client):
expected_status = 200
expected_json = {
"user_profile": {
"created_at": "2018-12-05T00:00:00+0000",
"first_name": "Lynne",
"id": 2,
"joined_at": "2018-12-07T00:00:00+0000",
"last_name": "Harford",
"status": 1,
"status_changed_at": "2018-12-08T00:00:00+0000",
"updated_at": "2018-12-06T00:00:00+0000",
"user_id": 2
}
}
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.get(
"/user_profile/2?app_key=7sv3aPS45Ck8URGRKUtBdMWgKFN4ahfW",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert response.json == expected_json
@pytest.mark.integration
@pytest.mark.admin_api
def test_post_user_profiles_route_with_data(client, mocker):
expected_status = 201
expected_m_length = 9
expected_m_id = 9
expected_m_user_id = 9
expected_m_first_name = "Service"
expected_m_last_name = "Account"
expected_m_joined_at = "2019-02-04T00:00:00+0000"
expected_m_status = UserProfile.STATUS_ENABLED
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\+\d{4}$")
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.post(
"/user_profiles?app_key=7sv3aPS45Ck8URGRKUtBdMWgKFN4ahfW",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert 'user_profile' in response.json
assert len(response.json['user_profile']) == expected_m_length
assert response.json['user_profile']['id'] == expected_m_id
assert response.json['user_profile']['user_id'] == expected_m_user_id
assert response.json['user_profile']['first_name'] == \
expected_m_first_name
assert response.json['user_profile']['last_name'] == expected_m_last_name
assert response.json['user_profile']['joined_at'] == expected_m_joined_at
assert response.json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
response.json['user_profile']['status_changed_at']))
assert bool(re_datetime.match(
response.json['user_profile']['created_at']))
assert bool(re_datetime.match(
response.json['user_profile']['updated_at']))
@pytest.mark.integration
@pytest.mark.admin_api
def test_put_user_profile_route_with_data(client, mocker):
expected_status = 200
expected_m_length = 9
expected_m_id = 2
expected_m_user_id = 9
expected_m_first_name = "LynneA"
expected_m_last_name = "HarfordA"
expected_m_joined_at = "2018-12-09T08:00:00+0000"
expected_m_status = UserProfile.STATUS_DISABLED
re_datetime = re.compile(r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\+\d{4}$")
request_mock = mocker.patch('modules.user_profiles.routes_admin.request')
request_mock.json = {
'user_id': expected_m_user_id,
'first_name': expected_m_first_name,
'last_name': expected_m_last_name,
'joined_at': expected_m_joined_at,
'status': expected_m_status,
}
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.put(
"/user_profile/{}?app_key=7sv3aPS45Ck8URGRKUtBdMWgKFN4ahfW".format(
expected_m_id), headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert 'user_profile' in response.json
assert len(response.json['user_profile']) == expected_m_length
assert response.json['user_profile']['id'] == expected_m_id
assert response.json['user_profile']['user_id'] == expected_m_user_id
assert response.json['user_profile']['first_name'] == \
expected_m_first_name
assert response.json['user_profile']['last_name'] == expected_m_last_name
assert response.json['user_profile']['joined_at'] == expected_m_joined_at
assert response.json['user_profile']['status'] == expected_m_status
assert bool(re_datetime.match(
response.json['user_profile']['status_changed_at']))
assert bool(re_datetime.match(
response.json['user_profile']['created_at']))
assert bool(re_datetime.match(
response.json['user_profile']['updated_at']))
@pytest.mark.integration
@pytest.mark.admin_api
def test_delete_user_profile_7_route_with_data(client):
expected_status = 204
expected_json = None
credentials = base64.b64encode(
'admin1:admin1pass'.encode('ascii')).decode('utf-8')
response = client.delete(
"/user_profile/7?app_key=7sv3aPS45Ck8URGRKUtBdMWgKFN4ahfW",
headers={"Authorization": f"Basic {credentials}"})
assert response.status_code == expected_status
assert response.json == expected_json
| 31.167479 | 79 | 0.671454 | 6,497 | 51,177 | 4.964291 | 0.039095 | 0.064459 | 0.034415 | 0.034105 | 0.952377 | 0.938765 | 0.932719 | 0.919976 | 0.911977 | 0.898893 | 0 | 0.036532 | 0.213201 | 51,177 | 1,641 | 80 | 31.186472 | 0.764466 | 0.032124 | 0 | 0.817666 | 0 | 0.004862 | 0.216729 | 0.103978 | 0 | 0 | 0 | 0.000609 | 0.138574 | 1 | 0.038088 | false | 0.025122 | 0.012156 | 0 | 0.050243 | 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 |
514003ef09e5ac7eed9001343b34c0a0908bad47 | 53,282 | py | Python | iiif_api_services/tests/test_collection.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 4 | 2019-12-08T18:39:37.000Z | 2021-11-09T19:35:44.000Z | iiif_api_services/tests/test_collection.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 2 | 2020-06-05T16:45:31.000Z | 2021-06-10T17:30:00.000Z | iiif_api_services/tests/test_collection.py | utlib/utl_iiif_api | e2d77ad5a677487e205b840cc800af46b4697eab | [
"Apache-2.0"
] | 1 | 2019-12-08T18:45:52.000Z | 2019-12-08T18:45:52.000Z | import os
import json
from test_addons import APIMongoTestCase
from rest_framework import status
from rest_framework_jwt.settings import api_settings
from django.conf import settings # import the settings file to get IIIF_BASE_URL & IIIF_CONTEXT
from iiif_api_services.models.User import User
from iiif_api_services.models.CollectionModel import Collection
from iiif_api_services.models.ManifestModel import Manifest
from django.test import override_settings
COLLECTION_MEDIUM = os.path.join(os.path.dirname(__file__), 'testData', 'collection', 'collectionMedium.json')
COLLECTION_SHORT = os.path.join(os.path.dirname(__file__), 'testData', 'collection', 'collectionShort.json')
URL = '/collections'
class Collection_Test_Without_Authentication(APIMongoTestCase):
def setUp(self):
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collections/book1").save()
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
Collection(label="collection3", name="book3", ATid="http://example.org/iiif/collections/book3").save()
def test_to_get_a_specific_collection_of_an_name(self):
response = self.client.get('/collections/book1')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data["ATtype"], 'sc:Collection')
self.assertEqual(response.data["label"], 'collection1')
def test_a_collection_cannot_be_created(self):
response = self.client.post(URL, {})
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_a_collection_cannot_be_updated(self):
response = self.client.put('/collections/book2', {})
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
def test_a_collection_cannot_be_deleted(self):
response = self.client.delete('/collections/book3', {})
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
@override_settings()
class Collection_Test_POST_Without_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('staff', 'staff@mail.com', 'staffpass')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
settings.QUEUE_POST_ENABLED = False
settings.QUEUE_PUT_ENABLED = False
settings.QUEUE_DELETE_ENABLED = False
def test_a_collection_can_be_successfully_created_with_no_nested_structures(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label parent')
self.assertEqual(Collection.objects()[0].ATid, settings.IIIF_BASE_URL + "/collections/book1")
def test_a_collection_can_be_successfully_created_with_one_level_nested_structures(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label child')
self.assertEqual(Collection.objects()[0].ATid, settings.IIIF_BASE_URL + "/collections/top6")
self.assertEqual(len(Collection.objects()), 4)
self.assertEqual(len(Manifest.objects()), 3)
createdCollectionID = settings.IIIF_BASE_URL + "/collections/book1"
self.assertEqual(createdCollectionID in Collection.objects.get(name='top6').belongsTo, True)
self.assertEqual(createdCollectionID in Manifest.objects.get(identifier='book1').belongsTo, True)
def test_a_duplicate_collection_cannot_be_created(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]["name"], ['This field must be unique.'])
def test_a_collection_with_no_id_given_can_be_successfully_created(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
del data["collection"]["@id"]
response = self.client.post("/collections", data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label parent')
def test_a_collection_cannot_be_created_with_id_being_top_level_collection_name(self):
data = {"collection": {"@id": settings.IIIF_BASE_URL + "/collections/"+settings.TOP_LEVEL_COLLECTION_NAME}}
response = self.client.post("/collections", data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_412_PRECONDITION_FAILED)
self.assertEqual(response.data["responseBody"]["error"], "Collection name cannot be: "+settings.TOP_LEVEL_COLLECTION_NAME+".")
def test_a_hidden_child_cannot_be_viewed(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get("/collections/book1")
self.assertEqual(len(response.data["manifests"]), 3)
manifest = Manifest.objects.get(identifier='book1')
manifest.hidden = True
manifest.save()
response = self.client.get("/collections/book1")
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.data["collections"]), 3)
self.assertEqual(len(response.data["manifests"]), 2)
def test_an_exisinting_child_collection_will_be_updated_on_parent_creation(self):
Collection(label="top6", name="top6", ATid="http://example.org/iiif/collections/top6", ownedBy=["staff"]).save()
self.assertEqual(Collection.objects.get(name="top6").label, "top6")
self.assertFalse(settings.IIIF_BASE_URL + "/collections/book1" in Collection.objects.get(name="top6").belongsTo)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects.get(name="top6").label, "some collection label child")
self.assertTrue(settings.IIIF_BASE_URL + "/collections/book1" in Collection.objects.get(name="top6").belongsTo)
def test_a_collection_cannot_be_created_with_errors_in_nested_collections(self):
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["collections"][1]["total"] = "invalid"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]['total'][0], 'A valid integer is required.')
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
def test_a_collection_cannot_be_created_with_errors_in_nested_manifests(self):
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["manifests"][1]["viewingDirection"] = ["invalid"]
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]['viewingDirection'][0], 'Not a valid string.')
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
def test_a_collection_cannot_be_created_with_errors_in_nested_members(self):
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["members"][1]["total"] = "invalid"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]['total'][0], 'A valid integer is required.')
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
def test_a_collection_cannot_be_created_with_errors_in_nested_members_with_missing_type(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
del data["collection"]["members"][1]["@type"]
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"], 'Field @type is required for member object.')
def test_a_collection_cannot_be_created_with_errors_in_nested_members_with_invalid_type(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
data["collection"]["members"][1]["@type"] = "invalid"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"], 'Field @type must be sc:Collection or sc:Manifest.')
def test_a_collection_created_with_errors_in_nested_members_will_clean_previous_members(self):
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
data["collection"]["members"][0]["viewingDirection"] = ["invalid"]
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]["viewingDirection"][0], 'Not a valid string.')
self.assertEqual(len(Collection.objects), 0)
self.assertEqual(len(Manifest.objects), 0)
def test_a_collection_with_will_create_its_user_permissions_field(self):
self.user = User.create_user('testStaff', 'testemail@mail.com', 'testStaffpass', False)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects.get(name="book1").ownedBy, ["testStaff"])
self.assertEqual(Collection.objects.get(name="top6").ownedBy, ["testStaff"])
self.assertEqual(Collection.objects.get(name="top98").ownedBy, ["testStaff"])
self.assertEqual(Collection.objects.get(name="top6666").ownedBy, ["testStaff"])
self.assertEqual(Manifest.objects.get(identifier="book1").ownedBy, ["testStaff"])
self.assertEqual(Manifest.objects.get(identifier="book2").ownedBy, ["testStaff"])
self.assertEqual(Manifest.objects.get(identifier="book3").ownedBy, ["testStaff"])
@override_settings()
class Collection_Test_POST_With_THREAD_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('staff', 'staff@mail.com', 'staffpass')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'THREAD'
def test_a_collection_can_be_successfully_created_with_no_nested_structures(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label parent')
self.assertEqual(Collection.objects()[0].ATid, settings.IIIF_BASE_URL + "/collections/book1")
@override_settings()
class Collection_Test_POST_With_PROCESS_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('staff', 'staff@mail.com', 'staffpass')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'PROCESS'
def test_a_collection_can_be_successfully_created_with_no_nested_structures(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label parent')
self.assertEqual(Collection.objects()[0].ATid, settings.IIIF_BASE_URL + "/collections/book1")
@override_settings()
class Collection_Test_POST_With_CELERY_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('staff', 'staff@mail.com', 'staffpass')
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'CELERY'
def test_a_collection_can_be_successfully_created_with_no_nested_structures(self):
data = {"collection": json.loads(open(COLLECTION_SHORT).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertEqual(Collection.objects()[0].label, 'some collection label parent')
self.assertEqual(Collection.objects()[0].ATid, settings.IIIF_BASE_URL + "/collections/book1")
class Collection_Test_GET(APIMongoTestCase):
def setUp(self):
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collections/book1").save()
def test_a_collection_from_an_name_that_does_not_exist_cannot_be_viewed(self):
response = self.client.get("/collections/nonExistingCollection")
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data["error"], "Collection with name 'nonExistingCollection' does not exist.")
def test_default_top_level_collection_can_be_viewed(self):
response = self.client.get("/collections/"+settings.TOP_LEVEL_COLLECTION_NAME)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data["ATid"], settings.IIIF_BASE_URL + "/collections/"+settings.TOP_LEVEL_COLLECTION_NAME)
def test_default_uoft_collection_can_be_viewed_from_root_endpoint(self):
response = self.client.get("/collections")
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data["ATid"], settings.IIIF_BASE_URL + "/collections/"+settings.TOP_LEVEL_COLLECTION_NAME)
def test_a_collection_can_be_viewed(self):
response = self.client.get("/collections/book1")
self.assertEqual(response.status_code, status.HTTP_200_OK)
@override_settings()
class Collection_Test_DELETE_Without_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = False
settings.QUEUE_PUT_ENABLED = False
settings.QUEUE_DELETE_ENABLED = False
def test_a_collection_can_be_deleted_sucessfully(self):
response = self.client.delete("/collections/book2")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
self.assertEqual(response.data["responseBody"]['message'], "Successfully deleted Collection 'book2'.")
def test_a_collection_that_does_not_exist_cannot_be_deleted(self):
response = self.client.delete("/collections/nonExistingItem")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data["responseBody"]["error"], "Collection with name 'nonExistingItem' does not exist.")
def test_deleting_a_collection_will_delete_all_of_its_nested_objects(self):
self.assertEqual(len(Manifest.objects), 0)
self.assertEqual(len(Collection.objects), 1)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.delete("/collections/book1")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
self.assertEqual(response.data["responseBody"]['message'], "Successfully deleted Collection 'book1'.")
self.assertEqual(len(Manifest.objects), 0)
self.assertEqual(len(Collection.objects), 1)
@override_settings()
class Collection_Test_DELETE_With_THREAD_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'THREAD'
def test_a_collection_can_be_deleted_sucessfully(self):
response = self.client.delete("/collections/book2")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
self.assertEqual(response.data["responseBody"]['message'], "Successfully deleted Collection 'book2'.")
@override_settings()
class Collection_Test_DELETE_With_PROCESS_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'PROCESS'
def test_a_collection_can_be_deleted_sucessfully(self):
response = self.client.delete("/collections/book2")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
self.assertEqual(response.data["responseBody"]['message'], "Successfully deleted Collection 'book2'.")
@override_settings()
class Collection_Test_DELETE_With_CELERY_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'CELERY'
def test_a_collection_can_be_deleted_sucessfully(self):
response = self.client.delete("/collections/book2")
if settings.QUEUE_DELETE_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_204_NO_CONTENT)
self.assertEqual(response.data["responseBody"]['message'], "Successfully deleted Collection 'book2'.")
@override_settings()
class Collection_Test_PUT_Without_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collectionsShort/book1", viewingHint="paged").save()
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = False
settings.QUEUE_PUT_ENABLED = False
settings.QUEUE_DELETE_ENABLED = False
def test_a_collection_can_be_updated_sucessfully(self):
data = {"collection": {"label": "new_collection1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects()[0].label, 'new_collection1')
self.assertEqual(Collection.objects()[0].viewingHint, 'non-paged')
def test_a_collection_cannot_be_updated_with_invalid_data(self):
data = {"collection": {"label": "new_collection1", "viewingHint": ["non-paged"]}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]["viewingHint"][0], "Not a valid string.")
def test_an_name_collection_that_does_not_exist_cannot_be_updated(self):
data = {"collection": {"label": "new_collection1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/nonExistingCollection", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data["responseBody"]["error"], "Collection with name 'nonExistingCollection' does not exist.")
def test_a_collection_with_new_id_can_be_updated_successfully(self):
data = {"collection": {"@id": "http://example.org/iiif/collections/new_book1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(response.data["responseBody"]["@id"], settings.IIIF_BASE_URL + "/collections/new_book1")
def test_the_top_level_collection_cannot_be_updated(self):
data = {"collection": {"@id": "http://example.org/iiif/collections/new_book1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/"+settings.TOP_LEVEL_COLLECTION_NAME, data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
print response.data["responseBody"]
self.assertEqual(response.data["responseCode"], status.HTTP_412_PRECONDITION_FAILED)
self.assertEqual(response.data["responseBody"]["error"], "Top level Collection cannot be edited.")
def test_a_collection_with_nested_objects_can_be_updated_successfully(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(Collection.objects()[2].label, 'some collection label child')
data["collection"]["collections"][0]["label"] = 'NEW LABEL'
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects()[2].label, "NEW LABEL")
def test_a_collection_with_nested_objects_no_id_can_be_updated_successfully(self):
self.assertEqual(len(Manifest.objects), 0)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(len(Manifest.objects), 3)
del data["collection"]["members"][0]["@id"]
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(len(Manifest.objects), 4)
def test_a_collection_with_new_id_will_update_its_nested_objects_belongsTo_field(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(Collection.objects.get(name='top6').belongsTo[0], settings.IIIF_BASE_URL + "/collections/book3")
self.assertEqual(Collection.objects.get(name='top98').belongsTo[0], settings.IIIF_BASE_URL + "/collections/book3")
self.assertEqual(Collection.objects.get(name='top6666').belongsTo[0], settings.IIIF_BASE_URL + "/collections/book3")
data["collection"]["@id"] = "http://example.org/iiif/collections/not-book3"
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects.get(name='top6').belongsTo[0], settings.IIIF_BASE_URL + "/collections/not-book3")
self.assertEqual(Collection.objects.get(name='top98').belongsTo[0], settings.IIIF_BASE_URL + "/collections/not-book3")
self.assertEqual(Collection.objects.get(name='top6666').belongsTo[0], settings.IIIF_BASE_URL + "/collections/not-book3")
def test_a_collection_with_new_id_will_update_its_parent_objects_children_field(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book35"
data["collection"]['members'][1]['collections'] = [{"@id": "http://example.org/iiif/collection/book_3_child"}]
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(Collection.objects.get(name='book_3_child').belongsTo[0], settings.IIIF_BASE_URL + "/collections/top6666")
self.assertEqual(Collection.objects.get(name='top6666').children[0], settings.IIIF_BASE_URL + "/collections/book_3_child")
data = {"collection": {"@id": "http://example.org/iiif/collections/not_book3_child"}}
response = self.client.put(URL+"/book_3_child", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects.get(name='not_book3_child').belongsTo[0], settings.IIIF_BASE_URL + "/collections/top6666")
self.assertEqual(Collection.objects.get(name='top6666').children[0], settings.IIIF_BASE_URL + "/collections/not_book3_child")
def test_a_collection_cannot_be_updated_with_errors_in_nested_collections(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
data["collection"]["collections"][1]["total"] = "invalid"
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]['total'][0], 'A valid integer is required.')
def test_a_collection_cannot_be_updated_with_errors_in_nested_collections(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
data["collection"]["collections"][1]["viewingHint"] = ["invalid"]
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]["viewingHint"][0], "Not a valid string.")
def test_a_collection_can_be_updated_with_nested_members_with_missing_id(self):
self.assertEqual(len(Collection.objects), 2)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
self.assertEqual(len(Collection.objects), 6)
del data["collection"]["members"][1]["@id"]
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(len(Collection.objects), 7)
def test_a_collection_cannot_be_updated_with_errors_in_nested_members_with_missing_type(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
del data["collection"]["members"][1]["@type"]
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"], 'Field @type is required for member object.')
def test_a_collection_cannot_be_updated_with_errors_in_nested_members_with_invalid_type(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
data["collection"]["members"][1]["@type"] = "invalid"
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"], 'Field @type must be sc:Collection or sc:Manifest.')
def test_a_collection_cannot_be_updated_with_errors_in_nested_manifests(self):
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
data["collection"]["manifests"][1]["viewingDirection"] = ["invalid"]
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_422_UNPROCESSABLE_ENTITY)
self.assertEqual(response.data["responseBody"]["error"]['viewingDirection'][0], 'Not a valid string.')
def test_a_collection_can_be_updated_with_a_new_belongsTo_field_will_replace_existing_values(self):
Collection(label="collection2", name="book3", ATid="http://example.org/iiif/collections/book3", belongsTo=[settings.IIIF_BASE_URL +"/collections/book1"]).save()
self.assertEqual(Collection.objects.get(name='book3').belongsTo, [settings.IIIF_BASE_URL + "/collections/book1"])
self.assertFalse("http://example.org/iiif/collections/book2" in Collection.objects.get(name='book3').belongsTo)
data = {"collection": {"belongsTo": ["http://example.org/iiif/collections/book2"]}}
response = self.client.put(URL+"/book3", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertFalse(settings.IIIF_BASE_URL + "/collections/book1" in Collection.objects.get(name='book3').belongsTo)
self.assertTrue("http://example.org/iiif/collections/book2" in Collection.objects.get(name='book3').belongsTo)
def test_an_embedded_collection_updated_with_a_new_belongsTo_field_will_append_existing_values(self):
Collection(label="top6", name="top6", ATid="http://example.org/iiif/collections/top6", belongsTo=[settings.IIIF_BASE_URL +"/collections/book156"]).save()
self.assertEqual(Collection.objects.get(name='top6').belongsTo, [settings.IIIF_BASE_URL + "/collections/book156"])
self.assertFalse(settings.IIIF_BASE_URL + "/collections/book3" in Collection.objects.get(name='top6').belongsTo)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertTrue(settings.IIIF_BASE_URL + "/collections/book3" in Collection.objects.get(name='top6').belongsTo)
self.assertTrue(settings.IIIF_BASE_URL +"/collections/book156" in Collection.objects.get(name='top6').belongsTo)
def test_an_embedded_manifest_updated_with_a_new_belongsTo_field_will_append_existing_values(self):
Manifest(label="top6", identifier="book1", ATid="http://example.org/iiif/book1/manifest", belongsTo=[settings.IIIF_BASE_URL +"/collections/book156"]).save()
self.assertEqual(Manifest.objects.get(identifier='book1').belongsTo, [settings.IIIF_BASE_URL + "/collections/book156"])
self.assertFalse(settings.IIIF_BASE_URL + "/collections/book3" in Manifest.objects.get(identifier='book1').belongsTo)
data = {"collection": json.loads(open(COLLECTION_MEDIUM).read())}
data["collection"]["@id"] = "http://example.org/iiif/collections/book3"
response = self.client.post(URL, data)
if settings.QUEUE_POST_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_201_CREATED)
self.assertTrue(settings.IIIF_BASE_URL + "/collections/book3" in Manifest.objects.get(identifier='book1').belongsTo)
self.assertTrue(settings.IIIF_BASE_URL +"/collections/book156" in Manifest.objects.get(identifier='book1').belongsTo)
@override_settings()
class Collection_Test_PUT_With_THREAD_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collectionsShort/book1", viewingHint="paged").save()
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'THREAD'
def test_a_collection_can_be_updated_sucessfully(self):
data = {"collection": {"label": "new_collection1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects()[0].label, 'new_collection1')
self.assertEqual(Collection.objects()[0].viewingHint, 'non-paged')
@override_settings()
class Collection_Test_PUT_With_PROCESS_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collectionsShort/book1", viewingHint="paged").save()
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'PROCESS'
def test_a_collection_can_be_updated_sucessfully(self):
data = {"collection": {"label": "new_collection1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects()[0].label, 'new_collection1')
self.assertEqual(Collection.objects()[0].viewingHint, 'non-paged')
@override_settings()
class Collection_Test_PUT_With_CELERY_QUEUE(APIMongoTestCase):
def setUp(self):
self.user = User.create_user('testadmin', 'testemail@mail.com', 'testadminpass', True)
jwt_payload_handler = api_settings.JWT_PAYLOAD_HANDLER
jwt_encode_handler = api_settings.JWT_ENCODE_HANDLER
payload = jwt_payload_handler(self.user)
token = jwt_encode_handler(payload)
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + token)
Collection(label="collection1", name="book1", ATid="http://example.org/iiif/collectionsShort/book1", viewingHint="paged").save()
Collection(label="collection2", name="book2", ATid="http://example.org/iiif/collections/book2").save()
settings.QUEUE_POST_ENABLED = True
settings.QUEUE_PUT_ENABLED = True
settings.QUEUE_DELETE_ENABLED = True
settings.QUEUE_RUNNER = 'CELERY'
def test_a_collection_can_be_updated_sucessfully(self):
data = {"collection": {"label": "new_collection1", "viewingHint": "non-paged"}}
response = self.client.put("/collections/book1", data)
if settings.QUEUE_PUT_ENABLED:
while self.client.get(response.data["status"]).status_code!=status.HTTP_301_MOVED_PERMANENTLY: pass # Wait till background process finishes
response = self.client.get(response.data["status"])
self.assertEqual(response.data["responseCode"], status.HTTP_200_OK)
self.assertEqual(Collection.objects()[0].label, 'new_collection1')
self.assertEqual(Collection.objects()[0].viewingHint, 'non-paged') | 66.436409 | 168 | 0.720056 | 6,417 | 53,282 | 5.747546 | 0.035998 | 0.048262 | 0.053197 | 0.056369 | 0.951467 | 0.935497 | 0.918578 | 0.898921 | 0.878938 | 0.86183 | 0 | 0.014242 | 0.153973 | 53,282 | 802 | 169 | 66.436409 | 0.80394 | 0.041065 | 0 | 0.771389 | 0 | 0 | 0.16633 | 0.005956 | 0 | 0 | 0 | 0 | 0.234222 | 0 | null | null | 0.096774 | 0.014025 | null | null | 0.001403 | 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 |
5a95fdfcc2eacb26f51fffde772f548fbf419cd4 | 2,814 | py | Python | pure_cols_checker.py | Yasin-VU/simple-python-bibliometrics | 2491043516e7f3ee42a2bc370efedf1a8ceffd6f | [
"BSD-3-Clause"
] | 6 | 2020-01-29T13:33:08.000Z | 2022-01-17T18:39:28.000Z | pure_cols_checker.py | descartesmbogning/simple-python-bibliometrics | 2491043516e7f3ee42a2bc370efedf1a8ceffd6f | [
"BSD-3-Clause"
] | 5 | 2020-01-29T13:39:10.000Z | 2020-02-12T06:39:57.000Z | pure_cols_checker.py | descartesmbogning/simple-python-bibliometrics | 2491043516e7f3ee42a2bc370efedf1a8ceffd6f | [
"BSD-3-Clause"
] | 1 | 2021-04-20T19:28:20.000Z | 2021-04-20T19:28:20.000Z |
orig = ['Unnamed: 0',
'Title of the contribution in original language',
'Current publication status > Date',
'Subtitle of the contribution in original language',
'Type',
'Workflow > Step',
'Original language',
'Electronic version(s) of this work > DOI (Digital Object Identifier)[1]',
'Organisations > Organisational unit[1]',
'Organisations > Organisational unit[2]',
'Organisations > Organisational unit[3]',
'Organisations > Organisational unit[4]',
'Organisations > Organisational unit[5]',
'Organisations > Organisational unit[6]',
'Organisations > Organisational unit[7]',
'Organisations > Organisational unit[8]',
'Organisations > Organisational unit[9]',
'Organisations > Organisational unit[10]',
'Journal > Journal[1]:Titles',
'Journal > Journal[1]:ISSNs',
'UUID',
'DOI',
'orig_doi',
'upw_doi',
'upw_doi_lowercase',
'upw_error',
'upw_error_message',
'upw_free_fulltext_url',
'upw_is_boai_license',
'upw_is_free_to_read',
'upw_is_subscription_journal',
'upw_license',
'upw_oa_color_x',
'upw_oa_color_verbose',
'ff',
'ff_provided_organization_string',
'ff_match',
'ff_score',
'ff_terms',
'ff_message',
'ff_match_subgroup',
'DOI_isnull',
'pub_uuid',
'pure_year']
new = ['Unnamed: 0',
'Title of the contribution in original language',
'Current publication status > Date',
'Subtitle of the contribution in original language',
'Type',
'Workflow > Step',
'Original language',
'Electronic version(s) of this work > DOI (Digital Object Identifier)[1]',
'Organisations > Organisational unit[1]',
'Organisations > Organisational unit[2]',
'Organisations > Organisational unit[3]',
'Organisations > Organisational unit[4]',
'Organisations > Organisational unit[5]',
'Organisations > Organisational unit[6]',
'Organisations > Organisational unit[7]',
'Organisations > Organisational unit[8]',
'Organisations > Organisational unit[9]',
'Organisations > Organisational unit[10]',
'Journal > Journal[1]:Titles',
'Journal > Journal[1]:ISSNs',
'UUID',
'DOI',
'orig_doi',
'own_doi_lowercase',
'upw_doi',
'upw_doi_lowercase',
'upw_error',
'upw_error_message',
'upw_free_fulltext_url',
'upw_is_boai_license',
'upw_is_free_to_read',
'upw_is_subscription_journal',
'upw_license',
'upw_oa_color_x',
'upw_oa_color_verbose',
'ff',
'ff_provided_organization_string',
'ff_match',
'ff_score',
'ff_terms',
'ff_message',
'ff_match_subgroup',
'DOI_isnull',
'pub_uuid',
'pure_year']
print(orig == new)
| 29.621053 | 83 | 0.634684 | 302 | 2,814 | 5.649007 | 0.251656 | 0.31653 | 0.363423 | 0.044549 | 0.98007 | 0.98007 | 0.98007 | 0.98007 | 0.98007 | 0.98007 | 0 | 0.013908 | 0.233475 | 2,814 | 94 | 84 | 29.93617 | 0.777005 | 0 | 0 | 0.955556 | 0 | 0 | 0.707326 | 0.056188 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.011111 | 0 | 0 | 0 | null | 1 | 1 | 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 | 10 |
51a24cd01db8fe17d61aa716e6112a4d7041d48b | 13,294 | py | Python | RNN_Cell.py | srnn/sRNN | 00618c719553bf54f693b51bef6bec8eb233e51a | [
"MIT"
] | null | null | null | RNN_Cell.py | srnn/sRNN | 00618c719553bf54f693b51bef6bec8eb233e51a | [
"MIT"
] | null | null | null | RNN_Cell.py | srnn/sRNN | 00618c719553bf54f693b51bef6bec8eb233e51a | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import numpy as np
from expRNN.exprnn import modrelu
from expRNN.initialization import henaff_init, cayley_init, random_orthogonal_init
from expRNN.exp_numpy import expm, expm_frechet
import snorm
verbose = False
def rvs(dim=3):
random_state = np.random
H = np.eye(dim)
D = np.ones((dim,))
for n in range(1, dim):
x = random_state.normal(size=(dim-n+1,))
D[n-1] = np.sign(x[0])
x[0] -= D[n-1]*np.sqrt((x*x).sum())
# Householder transformation
Hx = (np.eye(dim-n+1) - 2.*np.outer(x, x)/(x*x).sum())
mat = np.eye(dim)
mat[n-1:, n-1:] = Hx
H = np.dot(H, mat)
# Fix the last sign such that the determinant is 1
D[-1] = (-1)**(1-(dim % 2))*D.prod()
# Equivalent to np.dot(np.diag(D), H) but faster, apparently
H = (D*H.T).T
return H
class RNNCell(nn.Module):
def __init__(self,inp_size,hid_size,nonlin,bias=True,cuda=False,r_initializer=henaff_init,i_initializer=nn.init.xavier_normal_):
super(RNNCell, self).__init__()
self.cudafy = cuda
self.hidden_size = hid_size
#Add Non linearity
if nonlin == 'relu':
self.nonlinearity = nn.ReLU()
if nonlin == 'modrelu':
self.nonlinearity = modrelu(hid_size)
elif nonlin == 'tanh':
self.nonlinearity = nn.Tanh()
elif nonlin == 'sigmoid':
self.nonlinearity = nn.Sigmoid()
else:
self.nonlinearity = None
# Create linear layer to act on input X
self.U = nn.Linear(inp_size, hid_size, bias=bias)
self.i_initializer = i_initializer
self.V = nn.Linear(hid_size, hid_size, bias=False)
self.r_initializer = r_initializer
self.reset_parameters()
def reset_parameters(self):
self.i_initializer(self.U.weight.data)
if self.r_initializer == random_orthogonal_init or \
self.r_initializer == henaff_init or \
self.r_initializer == cayley_init:
self.V.weight.data = self._B(
torch.as_tensor(self.r_initializer(self.hidden_size)))
else:
print('other')
self.r_initializer(self.L.weight.data)
def _A(self,gradients=False):
A = self.V.weight.data
if not gradients:
A = A.data
A = A.triu(diagonal=1)
return A-A.t()
def _B(self,gradients=False):
return expm(self._A())
def _norm(self):
norm = snorm.spectral_norm(self.V.weight.data)
return norm
def forward(self, x, hidden = None):
if hidden is None:
hidden = x.new_zeros(x.shape[0],self.hidden_size, requires_grad=True)
self.first_hidden = hidden
h = self.U(x) + self.V(hidden)
if self.nonlinearity:
h = self.nonlinearity(h)
return h
class OrthoRNNCell(nn.Module):
def __init__(self,inp_size,hid_size,nonlin,bias=False,cuda=False,r_initializer=henaff_init,i_initializer=nn.init.xavier_normal_):
super(OrthoRNNCell,self).__init__()
self.cudafy = cuda
self.hidden_size = hid_size
#Add Non linearity
if nonlin == 'relu':
self.nonlinearity = nn.ReLU()
if nonlin == 'modrelu':
self.nonlinearity = modrelu(hid_size)
elif nonlin == 'tanh':
self.nonlinearity = nn.Tanh()
elif nonlin == 'sigmoid':
self.nonlinearity = nn.Sigmoid()
else:
self.nonlinearity = None
# Create linear layer to act on input X
self.U = nn.Linear(inp_size, hid_size, bias=bias)
self.i_initializer = i_initializer
self.r_initializer = r_initializer
# determine if P is learnable, if P is learnable determine how
self.log_P = torch.Tensor(hid_size,hid_size)
self.log_P = nn.Parameter(self.log_P)
self.P = torch.Tensor(hid_size,hid_size)
self.P = nn.Parameter(self.P)
self.gamma = nn.Parameter(torch.ones(1))
UppT = torch.zeros(hid_size,hid_size)
self.UppT = UppT
self.UppT = nn.Parameter(self.UppT)
self.M = torch.triu(torch.ones_like(self.UppT),diagonal=1)
self.D = torch.zeros_like(self.UppT)
# Create rotations and mask M for *.3 and *.4
self.thetas = [0]*int(hid_size)
for i in range(0,len(self.thetas)):
self.thetas[i] = nn.Parameter(torch.Tensor([np.random.uniform(0,2*3.14)]))
self.register_parameter('theta_{}'.format(i),self.thetas[i])
self.alpha_crit = nn.MSELoss()
self.alphas = [0]*int(hid_size/2)
for i in range(0,len(self.alphas)):
self.alphas[i] = nn.Parameter(torch.Tensor([np.random.uniform(1.00,1.00)]))
self.register_parameter('alpha_{}'.format(i),self.alphas[i])
self.reset_parameters()
# cudafy variables if needed
if cuda:
self.P.data = self.P.data.cuda()
self.log_P.data = self.log_P.data.cuda()
self.M = self.M.cuda()
self.D = self.D.cuda()
for item in self.thetas:
item = item.cuda()
for item in self.alphas:
item = item.cuda()
def reset_parameters(self):
if self.r_initializer == random_orthogonal_init or \
self.r_initializer == henaff_init or \
self.r_initializer == cayley_init:
self.P.data = self._B(
torch.as_tensor(self.r_initializer(self.hidden_size), dtype=torch.float32))
else:
self.r_initializer(self.P.data)
def _A(self,gradients=False):
A = self.log_P
if not gradients:
A = A.data
A = A.triu(diagonal=1)
return A-A.t()
def _norm(self):
norm = 1
if hasattr(self, 'rec'):
norm = snorm.spectral_norm(self.rec.data)
return norm
def _B(self,gradients=False):
return expm(self._A())
def orthogonal_step(self,optimizer):
A = self._A(False)
B = self.P.data
G = self.P.grad.data
BtG = B.t().mm(G)
grad = 0.5*(BtG - BtG.t())
frechet_deriv = B.mm(expm_frechet(-A, grad))
self.log_P.grad = (frechet_deriv - frechet_deriv.t()).triu(diagonal=1)
optimizer.step()
self.P.data = self._B(False)
self.P.grad.data.zero_()
def forward(self, x,hidden=None):
if hidden is None:
hidden = x.new_zeros(x.shape[0],self.hidden_size, requires_grad=True)
self.first_hidden = hidden
self.calc_rec()
h = self.U(x) + torch.matmul(hidden,self.rec)
if self.nonlinearity:
h = self.nonlinearity(h)
return h
def calc_rec(self):
self.calc_D()
self.calc_alpha_block()
self.rec = torch.matmul(torch.matmul(self.P,torch.mul(self.UppT,self.M)+torch.mul(self.alpha_block,self.D)),self.P.t())
def calc_D(self):
self.D = torch.zeros_like(self.UppT)
for i in range(0,self.hidden_size,2):
self.D[i,i] = self.thetas[int(i/2)].cos()
self.D[i,i+1] = -self.thetas[int(i/2)].sin()
self.D[i+1,i] = self.thetas[int(i/2)].sin()
self.D[i+1,i+1] = self.thetas[int(i/2)].cos()
def calc_alpha_block(self):
self.alpha_block = torch.zeros_like(self.UppT)
for i in range(0,self.hidden_size,2):
self.alpha_block[i,i] = self.alphas[int(i/2)]
self.alpha_block[i+1,i] = self.alphas[int(i/2)]
self.alpha_block[i,i+1] = self.alphas[int(i/2)]
self.alpha_block[i+1,i+1] = self.alphas[int(i/2)]
def alpha_loss(self,lam):
reg_loss = 0
for alph in range(len(self.alphas)):
reg_loss += lam*self.alpha_crit(self.alphas[alph],torch.ones_like(self.alphas[alph]))
return reg_loss
class OrthoRNNCell2(nn.Module):
def __init__(self,inp_size,hid_size, slen, nonlin,bias=False,cuda=False,r_initializer=henaff_init,i_initializer=nn.init.xavier_normal_):
super(OrthoRNNCell2,self).__init__()
self.cudafy = cuda
self.hidden_size = hid_size
#Add Non linearity
if nonlin == 'relu':
self.nonlinearity = nn.ReLU()
if nonlin == 'modrelu':
self.nonlinearity = modrelu(hid_size)
elif nonlin == 'tanh':
self.nonlinearity = nn.Tanh()
elif nonlin == 'sigmoid':
self.nonlinearity = nn.Sigmoid()
else:
self.nonlinearity = None
# Create linear layer to act on input X
self.U = nn.Linear(inp_size, hid_size, bias=bias)
self.i_initializer = i_initializer
self.r_initializer = r_initializer
# determine if P is learnable, if P is learnable determine how
self.log_P = torch.Tensor(hid_size,hid_size)
self.log_P = nn.Parameter(self.log_P)
self.P = torch.Tensor(hid_size,hid_size)
self.P = nn.Parameter(self.P)
self.gamma = nn.Parameter(torch.rand(slen))
UppT = torch.zeros(hid_size,hid_size)
self.UppT = UppT
self.UppT = nn.Parameter(self.UppT)
self.M = torch.triu(torch.ones_like(self.UppT),diagonal=1)
self.D = torch.zeros_like(self.UppT)
# Create rotations and mask M for *.3 and *.4
self.thetas = [0]*int(hid_size)
for i in range(0,len(self.thetas)):
self.thetas[i] = nn.Parameter(torch.Tensor([np.random.uniform(0,2*3.14)]))
self.register_parameter('theta_{}'.format(i),self.thetas[i])
self.alpha_crit = nn.MSELoss()
self.alphas = [0]*int(hid_size/2)
for i in range(0,len(self.alphas)):
self.alphas[i] = nn.Parameter(torch.Tensor([np.random.uniform(1.00,1.00)]))
self.register_parameter('alpha_{}'.format(i),self.alphas[i])
self.reset_parameters()
# cudafy variables if needed
if cuda:
self.P.data = self.P.data.cuda()
self.log_P.data = self.log_P.data.cuda()
self.M = self.M.cuda()
self.D = self.D.cuda()
for item in self.thetas:
item = item.cuda()
for item in self.alphas:
item = item.cuda()
def reset_parameters(self):
if self.r_initializer == random_orthogonal_init or \
self.r_initializer == henaff_init or \
self.r_initializer == cayley_init:
self.P.data = self._B(
torch.as_tensor(self.r_initializer(self.hidden_size), dtype=torch.float32))
else:
self.r_initializer(self.P.data)
def _A(self,gradients=False):
A = self.log_P
if not gradients:
A = A.data
A = A.triu(diagonal=1)
return A-A.t()
def get_alpha(self):
return self.gamma.clone().detach().cpu().numpy()
def _norm(self):
norm = 1
if hasattr(self, 'rec'):
norm = snorm.spectral_norm(self.rec.data)
return norm
def _B(self,gradients=False):
return expm(self._A())
def orthogonal_step(self,optimizer):
A = self._A(False)
B = self.P.data
G = self.P.grad.data
BtG = B.t().mm(G)
grad = 0.5*(BtG - BtG.t())
frechet_deriv = B.mm(expm_frechet(-A, grad))
self.log_P.grad = (frechet_deriv - frechet_deriv.t()).triu(diagonal=1)
optimizer.step()
# def orth_complete(self):
self.P.data = self._B(False)
self.P.grad.data.zero_()
def forward(self, x,hidden=None, i=1):
if hidden is None:
hidden = x.new_zeros(x.shape[0],self.hidden_size, requires_grad=True)
self.first_hidden = hidden
self.calc_rec()
h = self.U(x) + torch.matmul(hidden,self.rec)
if self.nonlinearity:
h = (1- torch.exp(-self.gamma[i] * h)) * self.nonlinearity(h)
else:
h = (1- torch.exp(-self.gamma[i] * h)) * h
return h
def calc_rec(self):
self.calc_D()
self.calc_alpha_block()
self.rec = torch.matmul(torch.matmul(self.P,torch.mul(self.UppT,self.M)+torch.mul(self.alpha_block,self.D)),self.P.t())
def calc_D(self):
self.D = torch.zeros_like(self.UppT)
for i in range(0,self.hidden_size,2):
self.D[i,i] = self.thetas[int(i/2)].cos()
self.D[i,i+1] = -self.thetas[int(i/2)].sin()
self.D[i+1,i] = self.thetas[int(i/2)].sin()
self.D[i+1,i+1] = self.thetas[int(i/2)].cos()
def calc_alpha_block(self):
self.alpha_block = torch.zeros_like(self.UppT)
for i in range(0,self.hidden_size,2):
self.alpha_block[i,i] = self.alphas[int(i/2)]
self.alpha_block[i+1,i] = self.alphas[int(i/2)]
self.alpha_block[i,i+1] = self.alphas[int(i/2)]
self.alpha_block[i+1,i+1] = self.alphas[int(i/2)]
def alpha_loss(self,lam):
reg_loss = 0
for alph in range(len(self.alphas)):
reg_loss += lam*self.alpha_crit(self.alphas[alph],torch.ones_like(self.alphas[alph]))
return reg_loss
| 35.076517 | 140 | 0.578381 | 1,910 | 13,294 | 3.888482 | 0.097906 | 0.028275 | 0.038777 | 0.011849 | 0.877609 | 0.870473 | 0.870473 | 0.870473 | 0.860778 | 0.848391 | 0 | 0.012661 | 0.287047 | 13,294 | 378 | 141 | 35.169312 | 0.770943 | 0.044456 | 0 | 0.838926 | 0 | 0 | 0.008592 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.100671 | false | 0 | 0.02349 | 0.013423 | 0.187919 | 0.003356 | 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 |
51a998722d49fcabeb2cd37cb356eedeed72a45b | 8,525 | py | Python | test/regression/daily/ledger_lte.py | trust-tech/fabric | 1cdbfc04fc9d65b58b13718b78585dae48c1b69c | [
"Apache-2.0"
] | null | null | null | test/regression/daily/ledger_lte.py | trust-tech/fabric | 1cdbfc04fc9d65b58b13718b78585dae48c1b69c | [
"Apache-2.0"
] | null | null | null | test/regression/daily/ledger_lte.py | trust-tech/fabric | 1cdbfc04fc9d65b58b13718b78585dae48c1b69c | [
"Apache-2.0"
] | null | null | null | import unittest
import subprocess
class perf_goleveldb(unittest.TestCase):
def test_FAB_3790_VaryNumParallelTxPerChain(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of parallel
transactions per chain and observe the performance.
Passing criteria: all subtests (8) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumParallelTxPerChain",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 8)
def test_FAB_3795_VaryNumChain(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of chains
(ledgers).
Passing criteria: all subtests (8) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumChain",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 8)
def test_FAB_3798_VaryNumParallelTxWithSingleChain(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of parallel
transactions on a single chain.
Passing criteria: all subtests (8) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumParallelTxWithSingleChain",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 8)
def test_FAB_3799_VaryNumChainWithNoParallelism(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of chains
without any parallelism within a single chain.
Passing criteria: all subtests (8) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumChainWithNoParallelism",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 8)
def test_FAB_3801_VaryKVSize(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the size of key-value.
Passing criteria: all subtests (5) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyKVSize",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 5)
def test_FAB_3802_VaryBatchSize(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the value of the batch
size
Passing criteria: all subtests (4) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyBatchSize",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 4)
def test_FAB_3800_VaryNumKeysInEachTX(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of keys in
each transaction.
Passing criteria: all subtests (5) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumKeysInEachTX",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 5)
def test_FAB_3803_VaryNumTxs(self):
'''
In this Performance test, we observe the performance (time to
complete a set number of Ledger operations) of the Ledger component,
with goleveldb as the state database. We vary the number of
transactions carried out.
Passing criteria: all subtests (4) completed successfully
'''
result = subprocess.check_output(
"./runbenchmarks.sh varyNumTxs",
shell=True, stderr=subprocess.STDOUT,
cwd='../../tools/LTE/scripts')
completion_count = result.count("PASS")
self.assertEqual(completion_count, 4)
class perf_couchdb(unittest.TestCase):
@unittest.skip("WIP, skipping")
def test_FAB_3870_VaryNumParallelTxPerChain(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the number of parallel transactions per chain.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3871_VaryNumChain(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the number of chains (ledgers).
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3872_VaryNumParallelTxWithSingleChain(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, vary the number of parallel transactions on a single chain.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3873_VaryNumChainWithNoParallelism(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the number of chains without any parallelism.
within a single chain.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3874_VaryKVSize(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, varying the size of key-value.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3875_VaryBatchSize(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the value of the batch size.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3876_VaryNumKeysInEachTX(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the number of keys in each transaction.
'''
self.assertTrue(True)
@unittest.skip("WIP, skipping")
def test_FAB_3877_VaryNumTxs(self):
'''
In this Performance test, we observe the performance (operations
per second) of the Ledger component, with CouchDB as the state
database, as we vary the number of transactions carried out.
'''
self.assertTrue(True)
| 41.183575 | 78 | 0.644575 | 966 | 8,525 | 5.611801 | 0.114907 | 0.029515 | 0.065855 | 0.061981 | 0.930087 | 0.924368 | 0.924368 | 0.915698 | 0.900572 | 0.887106 | 0 | 0.013027 | 0.279648 | 8,525 | 206 | 79 | 41.383495 | 0.869728 | 0.44176 | 0 | 0.666667 | 0 | 0 | 0.157788 | 0.068493 | 0 | 0 | 0 | 0 | 0.190476 | 1 | 0.190476 | false | 0.095238 | 0.02381 | 0 | 0.238095 | 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 |
51de4de9bdeb9237862aca0ba8f95f0aafcf1aeb | 132 | py | Python | viz/__init__.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | 3 | 2021-06-23T10:27:11.000Z | 2022-02-09T07:50:42.000Z | viz/__init__.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | 3 | 2021-06-23T09:36:29.000Z | 2022-01-13T03:38:16.000Z | viz/__init__.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | null | null | null | from viz.backtesting import *
from viz.data import *
from viz.fit import *
from viz.forecast import *
from viz.uncertainty import *
| 22 | 29 | 0.772727 | 20 | 132 | 5.1 | 0.4 | 0.343137 | 0.509804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 132 | 5 | 30 | 26.4 | 0.910714 | 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 |
51f2317764cfa41342dda3b67e0ccd71d4403954 | 4,272 | py | Python | tests/read_only_tests.py | Don42/strichliste-django | 0e7e005de7bf4852c544710f5cb8fdc6d0790763 | [
"MIT"
] | 1 | 2016-02-24T07:46:20.000Z | 2016-02-24T07:46:20.000Z | tests/read_only_tests.py | hackerspace-bootstrap/strichliste-django | 0e7e005de7bf4852c544710f5cb8fdc6d0790763 | [
"MIT"
] | 2 | 2016-04-17T22:06:26.000Z | 2016-07-26T21:20:48.000Z | tests/read_only_tests.py | Don42/strichliste-django | 0e7e005de7bf4852c544710f5cb8fdc6d0790763 | [
"MIT"
] | 1 | 2017-01-04T12:54:35.000Z | 2017-01-04T12:54:35.000Z | import json
import requests
import unittest
URL = ("http://", "127.0.0.1", ":", "8000", "/")
HEADERS = {'Content-Type': 'application/json'}
class EmptyTests(unittest.TestCase):
def setUp(self):
requests.get(''.join(URL + ('debug/clear/',)))
def test_empty_user_list(self):
r = requests.get(''.join(URL + ('user',)))
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
users = json.loads(r.text)
assert {'overall_count', 'limit', 'offset', 'entries'}.issubset(users)
assert users['overall_count'] == 0
assert users['limit'] == 100
assert users['offset'] == 0
assert users['entries'] == []
def test_user_not_found(self):
r = requests.get(''.join(URL + ('user', '/', '10')))
self.assertEqual(404, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
result = json.loads(r.text)
self.assertEqual("user 10 not found", result.get('msg'))
def test_user_not_found_transactions(self):
r = requests.get(''.join(URL + ('user', '/', '10', '/', 'transaction')))
self.assertEqual(404, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
result = json.loads(r.text)
self.assertEqual("user 10 not found", result.get('msg'))
def test_empty_transactions(self):
r = requests.get(''.join((URL + ('transaction',))))
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
transactions = json.loads(r.text)
self.assertEqual(0, transactions.get('overall_count'))
self.assertEqual(100, transactions.get('limit'))
self.assertEqual(0, transactions.get('offset'))
self.assertEqual([], transactions.get('entries'))
def test_user_limits(self):
r = requests.get(''.join(URL + ('user',)),
headers=HEADERS,
params={'offset': 1, 'limit': 1})
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
transactions = json.loads(r.text)
self.assertEqual(0, transactions.get('overall_count'))
self.assertEqual(1, transactions.get('limit'))
self.assertEqual(1, transactions.get('offset'))
self.assertEqual([], transactions.get('entries'))
def test_user_limits_max(self):
r = requests.get(''.join(URL + ('user',)),
headers=HEADERS,
params={'offset': 0, 'limit': 1000})
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
transactions = json.loads(r.text)
self.assertEqual(0, transactions.get('overall_count'))
self.assertEqual(250, transactions.get('limit')) # 250 is the max
self.assertEqual(0, transactions.get('offset'))
self.assertEqual([], transactions.get('entries'))
def test_transaction_limits(self):
r = requests.get(''.join(URL + ('transaction',)),
headers=HEADERS,
params={'offset': 1, 'limit': 1})
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
transactions = json.loads(r.text)
self.assertEqual(0, transactions.get('overall_count'))
self.assertEqual(1, transactions.get('limit'))
self.assertEqual(1, transactions.get('offset'))
self.assertEqual([], transactions.get('entries'))
def test_transaction_limits_max(self):
r = requests.get(''.join(URL + ('transaction',)),
headers=HEADERS,
params={'offset': 0, 'limit': 1000})
self.assertEqual(200, r.status_code)
self.assertEqual('application/json', r.headers['Content-Type'])
transactions = json.loads(r.text)
self.assertEqual(0, transactions.get('overall_count'))
self.assertEqual(250, transactions.get('limit')) # 250 is the max
self.assertEqual(0, transactions.get('offset'))
self.assertEqual([], transactions.get('entries'))
| 44.5 | 80 | 0.604869 | 478 | 4,272 | 5.328452 | 0.123431 | 0.223793 | 0.063604 | 0.063604 | 0.864547 | 0.844523 | 0.844523 | 0.81115 | 0.786023 | 0.786023 | 0 | 0.026675 | 0.227762 | 4,272 | 95 | 81 | 44.968421 | 0.745377 | 0.006788 | 0 | 0.674699 | 0 | 0 | 0.155189 | 0 | 0 | 0 | 0 | 0 | 0.518072 | 1 | 0.108434 | false | 0 | 0.036145 | 0 | 0.156627 | 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 |
cfd249386e501c864682f04b5c7390c246a5d3a5 | 7,758 | py | Python | tests/test_smith_waterman_gotoh.py | jiayingwang/smart-match | 3f273aafce87dc1a97da20baa49b3adceaf53979 | [
"MIT"
] | 14 | 2020-09-27T10:20:00.000Z | 2022-01-08T19:12:29.000Z | tests/test_smith_waterman_gotoh.py | jiayingwang/smart-match | 3f273aafce87dc1a97da20baa49b3adceaf53979 | [
"MIT"
] | 5 | 2020-09-28T13:45:13.000Z | 2020-12-08T09:24:49.000Z | tests/test_smith_waterman_gotoh.py | jiayingwang/smart-match | 3f273aafce87dc1a97da20baa49b3adceaf53979 | [
"MIT"
] | 19 | 2020-09-25T12:36:09.000Z | 2021-08-16T09:30:48.000Z | import unittest
import smart_match
class TestSmithWatermanGotoh(unittest.TestCase):
def setUp(self):
smart_match.use('Smith Waterman Gotoh')
def test_similarity(self):
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("test string1", "test string2")), 0.9167)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("test", "test string2")), 1.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("", "test string2")), 0.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("aaa bbb ccc ddd", "aaa bbb ccc eee")), 0.8000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("a b c d", "a b c e")), 0.8571)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Healed", "Sealed")), 0.8333)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Healed", "Healthy")), 0.6667)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Healed", "Heard")), 0.6000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Healed", "Herded")), 0.3333)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Sam J Chapman", "Samuel John Chapman")), 0.7692)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Sam Chapman", "S Chapman")), 0.8889)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("John Smith", "Samuel John Chapman")), 0.5000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("aaa bbb ccc ddd", "aaa bbb ccc eee")), 0.8000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("John Smith", "Sam Chapman")), 0.1500)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("John Smith", "S Chapman")), 0.1111)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","Web Database Applications with PHP & MySQL")), 1.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","Building Web Database Applications with Visual Studio 6")), 1.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","Web Application Development With PHP")), 0.5000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection")), 0.8800)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","Structural Assessment: The Role of Large and Full-Scale Testing")), 0.1000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Database Applications","How to Find a Scholarship Online")), 0.0800)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Aplications","Web Database Applications with PHP & MySQL")), 0.8000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Aplications","Creating Database Web Applications with PHP and ASP")), 0.9667)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Aplications","Web Application Development With PHP")), 0.9000)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Aplications","Structural Assessment: The Role of Large and Full-Scale Testing")), 0.1667)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity("Web Aplications","How to Find a Scholarship Online")), 0.1333)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity('GGTTGACTA', 'TGTTACGG')), 0.5625)
smart_match.set_params(gap=-2, match=3, mismatch=-3)
self.assertAlmostEqual(float('%.4f' % smart_match.similarity('GGTTGACTA', 'TGTTACGG')), 0.5417)
def test_dissimilarity(self):
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("test string1", "test string2")), 0.0833)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("test", "test string2")), 0.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("", "test string2")), 1.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("aaa bbb ccc ddd", "aaa bbb ccc eee")), 0.2000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("a b c d", "a b c e")), 0.1429)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Healed", "Sealed")), 0.1667)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Healed", "Healthy")), 0.3333)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Healed", "Heard")), 0.4000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Healed", "Herded")), 0.6667)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Sam J Chapman", "Samuel John Chapman")), 0.2308)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Sam Chapman", "S Chapman")), 0.1111)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("John Smith", "Samuel John Chapman")), 0.5000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("aaa bbb ccc ddd", "aaa bbb ccc eee")), 0.2000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("John Smith", "Sam Chapman")), 0.8500)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("John Smith", "S Chapman")), 0.8889)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications", "Web Database Applications with PHP & MySQL")),
0.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications","Building Web Database Applications with Visual Studio 6")),
0.0000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications", "Web Application Development With PHP")),
0.5000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications","WebRAD: Building Database Applications on the Web with Visual FoxPro and Web Connection")),
0.1200)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications","Structural Assessment: The Role of Large and Full-Scale Testing")),
0.9000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Database Applications", "How to Find a Scholarship Online")),
0.9200)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Aplications", "Web Database Applications with PHP & MySQL")),
0.2000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Aplications", "Creating Database Web Applications with PHP and ASP")),
0.0333)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Aplications", "Web Application Development With PHP")), 0.1000)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Aplications","Structural Assessment: The Role of Large and Full-Scale Testing")),
0.8333)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity("Web Aplications", "How to Find a Scholarship Online")), 0.8667)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity('GGTTGACTA', 'TGTTACGG')), 0.4375)
smart_match.set_params(gap=-2, match=3, mismatch=-3)
self.assertAlmostEqual(float('%.4f' % smart_match.dissimilarity('GGTTGACTA', 'TGTTACGG')), 0.4583)
if __name__ == '__main__':
unittest.main()
| 89.172414 | 197 | 0.684068 | 913 | 7,758 | 5.733844 | 0.135816 | 0.114613 | 0.278128 | 0.299522 | 0.94021 | 0.926075 | 0.926075 | 0.914613 | 0.72703 | 0.589876 | 0 | 0.054262 | 0.163831 | 7,758 | 86 | 198 | 90.209302 | 0.752736 | 0 | 0 | 0.105263 | 0 | 0 | 0.314256 | 0 | 0 | 0 | 0 | 0 | 0.736842 | 1 | 0.039474 | false | 0 | 0.026316 | 0 | 0.078947 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 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 |
5c79b176670938ed0bf4639ee3805c4b17604919 | 41,888 | py | Python | model_description.py | akshitac8/keras_aud | 29de5c30992726f8fda64f03e6559263eb79328d | [
"MIT"
] | 7 | 2018-05-27T16:38:57.000Z | 2019-09-20T05:54:30.000Z | model_description.py | akshitac8/keras_aud | 29de5c30992726f8fda64f03e6559263eb79328d | [
"MIT"
] | null | null | null | model_description.py | akshitac8/keras_aud | 29de5c30992726f8fda64f03e6559263eb79328d | [
"MIT"
] | 3 | 2018-05-22T13:13:51.000Z | 2019-06-05T15:36:18.000Z | """
Created on Sat Apr 08 11:48:18 2018
author: @akshitac8
"""
from keras.models import Model
from keras.layers import Dense, Dropout, Flatten, Input
from keras.layers import Conv2D, Conv2DTranspose, merge, Merge
from keras.layers import BatchNormalization, Lambda,Activation,Concatenate,RepeatVector,dot
from keras.layers import LSTM, GRU, Reshape, Bidirectional, Permute,TimeDistributed
from keras.layers import MaxPooling2D, AveragePooling2D, GlobalMaxPooling1D, GlobalMaxPooling2D, GlobalAveragePooling2D
from keras.layers.merge import Multiply
from keras import backend as K
import numpy as np
############################# Keras shape #############################
def kr(t,m=None):
if m is None:
return t._keras_shape
else:
return t._keras_shape[m]
###########################FUNCTIONAL MODELS#############################################
########################### BASIC DNN #################################
def dnn(dimx,dimy,num_classes,**kwargs):
"""
Deep Neural Network containing 3 Dense layers each followed by a Dropout.
Parameters
----------
input_neurons : int
default : 200
Number of Neurons for each Dense layer.
dropout : float
default : 0.1
Dropout used after each Dense Layer.
act1 : str
default : relu
Activation used after 1st layer.
act2 : str
default : relu
Activation used after 2nd layer.
act3 : str
default : relu
Activation used after 3rd layer.
act4 : str
default : softmax
Activation used after 4th layer.
print_sum : bool
default : False
Print summary if the model
loss
default : categorical_crossentropy
Loss used
optimizer
default : adam
Optimizer used
metrics
default : accuracy
Metrics used.
Returns
-------
DNN Model
"""
input_neurons = kwargs['kwargs'].get('input_neurons',200)
dropout = kwargs['kwargs'].get('dropout',0.1)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','relu')
act3 = kwargs['kwargs'].get('act3','relu')
act4 = kwargs['kwargs'].get('act4','softmax')
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','binary_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
print "Model DNN"
print "Activation 1 {} 2 {} 3 {} 4 {}".format(act1,act2,act3,act4)
print "Neurons {} Dropout {}".format(input_neurons,dropout)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
input_dim = dimx * dimy
inpx = Input(shape=(input_dim,))
x = Dense(input_neurons, activation=act1)(inpx)
x = Dropout(dropout)(x)
x = Dense(input_neurons, activation=act2)(x)
x = Dropout(dropout)(x)
x = Dense(input_neurons, activation=act3)(x)
x = Dropout(dropout)(x)
score = Dense(num_classes, activation=act4)(x)
model = Model([inpx],score)
if print_sum:
model.summary()
model.compile(loss=loss,optimizer=optimizer,metrics=[metrics])
return model
########################### BASIC CNN #################################
def cnn(dimx,dimy,num_classes,**kwargs):
"""
Convolution Neural Network containing 1 Convolution layer followed by a
Dense Layer.
Parameters
----------
input_neurons : int
default : 200
Number of Neurons for the Dense layer.
dropout : float
default : 0.1
Dropout used after the Dense Layer.
act1 : str
default : relu
Activation used after 1st Convolution layer.
act2 : str
default : relu
Activation used after 1st Dense layer.
act3 : str
default : softmax
Activation used after last Dense layer.
print_sum : bool
default : False
Print summary if the model
nb_filter : int
default : 100
Number of kernels
filter_length : int, tuple
default : 3
Size of kernels
pool_size : int, tuple
default : (2,2)
Pooling size.
loss
default : categorical_crossentropy
Loss used
optimizer
default : adam
Optimizer used
metrics
default : accuracy
Metrics used.
Returns
-------
CNN Model
"""
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','relu')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',128)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',2)
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
if type(nb_filter) is int:
nb_filter = [nb_filter] * 2
if type(pool_size) is int:
pool_size = [pool_size] * 2
print "Model CNN"
print "Activation 1 {} 2 {} 3 {}".format(act1,act2,act3)
print "Neurons {} Dropout {}".format(input_neurons,dropout)
print "Kernels {} Size {} Poolsize {}".format(nb_filter,filter_length,pool_size)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
inpx = Input(shape=(1,dimx,dimy),name='inpx')
x = Conv2D(filters=nb_filter[0],
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx)
hx = MaxPooling2D(pool_size=pool_size[0])(x)
x = Conv2D(filters=nb_filter[1],
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx)
hx = MaxPooling2D(pool_size=pool_size[1])(x)
h = Flatten()(hx)
wrap = Dense(input_neurons, activation=act2,name='wrap')(h)
wrap= Dropout(dropout)(wrap)
score = Dense(num_classes,activation=act3,name='score')(wrap)
model = Model([inpx],score)
if print_sum:
model.summary()
model.compile(loss=loss,optimizer=optimizer,metrics=[metrics])
return model
########################### BASIC RNN #################################
def rnn(dimx,dimy,num_classes,**kwargs):
"""
Deep Neural Network containing 1 LSTM layers followed by 3 Dense Layers.
Parameters
----------
rnn_units : int
default : 32
Number of Units for LSTM layer.
input_neurons : int
default : 200
Number of Neurons for each Dense layer.
act1 : str
default : relu
Activation used after 1st layer.
act2 : str
default : relu
Activation used after 2nd layer.
act3 : str
default : relu
Activation used after 3rd layer.
act4 : str
default : softmax
Activation used after 4th layer.
print_sum : bool
default : False
Print summary if the model
loss
default : categorical_crossentropy
Loss used
optimizer
default : adam
Optimizer used
metrics
default : accuracy
Metrics used.
Returns
-------
RNN Model
"""
rnn_units = kwargs['kwargs'].get('rnn_units',32)
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','relu')
act3 = kwargs['kwargs'].get('act3','relu')
act4 = kwargs['kwargs'].get('act4','sigmoid')
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
input_dim=dimx*dimy
main_input = Input(shape=(1,input_dim), name='main_input')
x = LSTM(rnn_units)(main_input)
# We stack a deep densely-connected network on top
x = Dense(input_neurons, activation=act1)(x)
x = Dense(input_neurons, activation=act2)(x)
x = Dense(input_neurons, activation=act3)(x)
# And finally we add the main logistic regression layer
main_output = Dense(num_classes, activation=act4, name='main_output')(x)
model = Model(inputs=main_input, outputs=main_output)
if print_sum:
model.summary()
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
########################### BASIC CRNN #################################
def cnn_rnn(dimx,dimy,num_classes,**kwargs):
"""
Deep Neural Network containing 1 LSTM layers followed by 3 Dense Layers.
Parameters
----------
rnn_units : int
default : 32
Number of Units for LSTM layer.
input_neurons : int
default : 200
Number of Neurons for each Dense layer.
dropout : float
default : 0.1
Dropout used after the Dense Layer.
act1 : str
default : relu
Activation used after Convolution layer.
act2 : str
default : tanh
Activation used after Recurrent layer.
act3 : str
default : softmax
Activation used after Dense layer.
print_sum : bool
default : False
Print summary if the model
nb_filter : int
default : 100
Number of kernels
filter_length : int, tuple
default : 3
Size of kernels
pool_size : int, tuple
default : (2,2)
Pooling size.
loss
default : categorical_crossentropy
Loss used
optimizer
default : adam
Optimizer used
metrics
default : accuracy
Metrics used.
Returns
-------
RNN Model
"""
rnn_units = kwargs['kwargs'].get('rnn_units',32)
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','tanh')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',100)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',(2,2))
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
main_input = Input(shape=(1,dimx,dimy))
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(main_input)
hx = MaxPooling2D(pool_size=pool_size)(x)
wrap= Dropout(dropout)(hx)
x = Permute((2,1,3))(wrap)
a,b,c,d= kr(x)
x = Reshape((b*d,c))(x)
x = LSTM(rnn_units,activation=act2)(x)
wrap= Dropout(dropout)(x)
x = Dense(input_neurons, activation=act3)(wrap)
main_output = Dense(num_classes, activation='softmax', name='main_output')(wrap)
model = Model(inputs=main_input, outputs=main_output)
if print_sum:
model.summary()
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
############################# BASIC CBRNN #############################
def cbrnn(dimx,dimy,num_classes,**kwargs):
"""
CNN with biderectional lstm
Parameters
----------
rnn_units : int
default : 32
Number of Units for LSTM layer.
dropout : float
default : 0.1
Dropout used after the Dense Layer.
act1 : str
default : relu
Activation used after 4 Convolution layers.
act2 : str
default : sigmoid
Activation used after Recurrent layer.
act3 : str
default : sigmoid
Activation used after Dense layer.
print_sum : bool
default : False
Print summary if the model
nb_filter : int
default : 100
Number of kernels
filter_length : int, tuple
default : 3
Size of kernels
pool_size : int, tuple
default : (2,2)
Pooling size.
loss
default : categorical_crossentropy
Loss used
optimizer
default : adam
Optimizer used
metrics
default : accuracy
Metrics used.
Returns
-------
CBRNN Model
"""
rnn_units = kwargs['kwargs'].get('rnn_units',32)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','sigmoid')
act3 = kwargs['kwargs'].get('act3','sigmoid')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',100)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',(2,2))
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','binary_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','mse')
print "Functional CBRNN"
print "Activation 1 {} 2 {} 3 {}".format(act1,act2,act3)
print "Dropout {}".format(dropout)
print "Kernels {} Size {} Poolsize {}".format(nb_filter,filter_length,pool_size)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
main_input = Input(shape=(1,dimx,dimy))
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(main_input)
#x1=BatchNormalization()(x)
hx = MaxPooling2D(pool_size=pool_size)(x)
# wrap= Dropout(dropout)(hx)
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(hx)
#x2=BatchNormalization()(x)
hx = MaxPooling2D(pool_size=pool_size)(x)
# wrap= Dropout(dropout)(hx)
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(hx)
#x3=BatchNormalization()(x)
hx = MaxPooling2D(pool_size=(2,2))(x)
# wrap= Dropout(dropout)(hx)
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(hx)
# x4=BatchNormalization()(x)
hx = MaxPooling2D(pool_size=(1,1))(x)
wrap= Dropout(dropout)(x)
x = Permute((2,1,3))(wrap)
a,b,c,d= kr(x)
x = Reshape((b*d,c))(x)
# x = Reshape((c*d,b))(x)
# w = Bidirectional(LSTM(rnn_units,activation=act2,return_sequences=False))(x)
rnnout = Bidirectional(LSTM(rnn_units, activation=act2, return_sequences=True))(x)
rnnout_gate = Bidirectional(LSTM(rnn_units, activation=act3, return_sequences=False))(x)
w = Multiply()([rnnout, rnnout_gate])
wrap= Dropout(dropout)(w)
wrap=Flatten()(wrap)
main_output = Dense(num_classes, activation=act3, name='main_output')(wrap)
model = Model(inputs=main_input, outputs=main_output)
if print_sum:
model.summary()
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
############################ Multi CNN : Ensemble model combining different features ################################
def multi_cnn(dimx,dimy,num_classes,**kwargs):
"""
This model is used to combine same or complementary features through a mini ensemble convolution model
based on their properties.
"""
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','tanh')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',100)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',(2,2))
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
inps,outs=[],[]
for i in range(len(dimy)):
inpx = Input(shape=(1,dimx,dimy[i]))
inps.append(inpx)
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx)
x = MaxPooling2D(pool_size=pool_size)(x)
x= Dropout(dropout)(x)
h = Flatten()(x)
outs.append(h)
combine = Merge(mode='concat')(outs)
# And finally we add the main logistic regression layer
wrap = Dense(input_neurons, activation=act2,name='wrap')(combine)
main_output = Dense(num_classes,activation=act3,name='score')(wrap)
model = Model(inputs=inps,outputs=main_output)
if print_sum:
model.summary()
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
############################ Transpose CNN ################################
def transpose_cnn(dimx,dimy,num_classes,**kwargs):
"""
The first section of the neural network contains conv layers.
The deconv layer after conv layer maintains the same shape.
The last layer will be a conv layer to calculate class wise score.
Emphasis is given to check the size parameter for model.
This is used for acoustic event detection.
"""
act1 = kwargs['kwargs'].get('act1','tanh')
act2 = kwargs['kwargs'].get('act2','tanh')
act3 = kwargs['kwargs'].get('act3','sigmoid')
nb_filter = kwargs['kwargs'].get('nb_filter',128)
pool_size = kwargs['kwargs'].get('pool_size',(1,2))
dropout = kwargs['kwargs'].get('dropout',0.1)
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','binary_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','mse')
if type(nb_filter) is int:
nb_filter = [nb_filter] * 2
inpx = Input(shape=(1,dimx,dimy),name='inpx')
x = Conv2D(filters=nb_filter[0],
kernel_size=5,
data_format='channels_first',
padding='same',
activation=act1)(inpx)
hx = MaxPooling2D(pool_size=pool_size)(x)
#hx = ZeroPadding2D(padding=(2, 1))(hx)
hx = Conv2D(filters=nb_filter[1],
kernel_size=3,
data_format='channels_first',
padding='same',
activation=act1)(hx)
x=Conv2DTranspose(filters=nb_filter[1], kernel_size=3,padding='same', data_format='channels_first',activation=act2)(hx)
hx = MaxPooling2D(pool_size=pool_size)(x)
x=Conv2DTranspose(filters=nb_filter[0], kernel_size=5,padding='same', data_format='channels_first',activation=act2)(hx)
hx = MaxPooling2D(pool_size=pool_size)(x)
# Don't use softmax in last layer
score=Conv2D(filters=num_classes, kernel_size=(1,1),padding='same', data_format='channels_first',activation=act3)(hx)
# Check for compiling
# wrap= Dropout(dropout)(score)
score=GlobalAveragePooling2D(data_format='channels_first')(score)
kr(score)
model = Model(inputs=[inpx], outputs=[score])
if print_sum:
model.summary()
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
##################### Sequence2Sequence Model ############################
def seq2seq(dimx,dimy,num_classes,**kwargs):
# Recurrent sequence to sequence learning auto encoders for audio classification task
print "seq2seq_lstm"
## encoder
x = Input(shape=(dimx,dimy))
# Encoder
encoder=Bidirectional(LSTM(32,return_state=True))
encoder_outputs, forward_h, forward_c, backward_h, backward_c = encoder(x)
state_h = Concatenate(axis=1)([forward_h, backward_h])
state_c = Concatenate(axis=1)([forward_c, backward_c])
encoder_states = [state_h, state_c]
#hidden_1 = Dense(128, activation='relu')(encoder_outputs)
#h = Dense(64, activation='relu')(hidden_1)
# Decoder
y = Input(shape=(dimx,dimy))
decoder_lstm = LSTM(64, return_sequences=True, return_state=True)
decoder_outputs, _, _ = decoder_lstm(y,
initial_state=encoder_states)
#hidden_2 = Dense(128, activation='relu')(decoder_outputs)
r = Dense(40, activation='sigmoid')(decoder_outputs)
model = Model([x,y], r)
model.compile(optimizer='adam', loss='categorical_crossentropy',metrics=['accuracy'])
return model
####################### ATTENTION MODEL ACRNN ##################################
def ACRNN(dimx,dimy,num_classes,**kwargs):
act1 = kwargs['kwargs'].get('act1','tanh')
nb_filter = kwargs['kwargs'].get('nb_filter',72)
filter_length = kwargs['kwargs'].get('filter_length',4)
act2 = kwargs['kwargs'].get('act2','linear')
rnn_units = kwargs['kwargs'].get('rnn_units',[20,20])
dropout = kwargs['kwargs'].get('dropout',[0.1,0.2])
act3 = kwargs['kwargs'].get('act3','softmax')
print_sum = kwargs['kwargs'].get('print_sum',False)
loss = kwargs['kwargs'].get('loss','binary_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','mse')
#input shape
main_input = Input(shape=(1,dimx,dimy))
#CNN
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(main_input)
hx = MaxPooling2D(pool_size=(1,2))(x)
x = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1,use_bias=False)(hx)
hx = MaxPooling2D(pool_size=(1,2))(x)
wrap= Dropout(dropout[0])(hx)
x = Permute((2,1,3))(wrap)
a,b,c,d= kr(x)
x = Reshape((b*d,c))(x)
#RNN LAYERS
rnnout = Bidirectional(GRU(rnn_units[0],activation=act2, return_sequences=True),merge_mode='concat')(x)
rnnout_1 = Bidirectional(GRU(rnn_units[1],activation='sigmoid', return_sequences=True),merge_mode='concat')(rnnout)
w = Multiply()([rnnout, rnnout_1])
#Attention starts
hidden_size = int(w._keras_shape[1])
a = Permute((2, 1))(w)
a = Reshape((hidden_size, a._keras_shape[1]))(a)
a = TimeDistributed(Dense( a._keras_shape[1], activation='softmax',use_bias=False))(a)
a = Lambda(lambda x: K.mean(x, axis=1), name='dim_reduction')(a)
a = RepeatVector(dimy)(a)
a_probs = Permute((2, 1), name='attention_vec')(a)
attention_mul = merge([w,a_probs], name='attention_mul', mode='mul')
attention_mul = GlobalMaxPooling1D()(attention_mul)
attention_mul = Dropout(dropout[1])(attention_mul)
# compile Model
main_output = Dense(num_classes, activation=act3)(attention_mul)
mymodel = Model([main_input], main_output)
if print_sum:
mymodel.summary()
mymodel.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return mymodel
'''
Architectures with more than one feature and models
'''
def ensemble_cnn(dimx0,dimy0,dimx1,dimy1,num_classes,**kwargs):
print "No Dropout used"
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','sigmoid')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',128)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',2)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','mse')
if type(filter_length) is int:
filter_length = [filter_length] * 2
if type(pool_size) is int:
pool_size = [pool_size] * 2
print "Model ensemble CNN"
print "Activation 1 {} 2 {} 3 {}".format(act1,act2,act3)
print "Neurons {} Dropout {}".format(input_neurons,dropout)
print "Kernels {} Size {} Poolsize {}".format(nb_filter,filter_length,pool_size)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
inpx0 = Input(shape=(1,dimx0,dimy0),name='inpx0')
inpx1 = Input(shape=(1,dimx1,dimy1),name='inpx1')
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
x0 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx0)
x1 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx0 = MaxPooling2D(pool_size=pool_size)(x0)
hx1 = MaxPooling2D(pool_size=pool_size)(x1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
x1 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(hx0)
x2 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(hx1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx1 = MaxPooling2D(pool_size=pool_size)(x1)
hx2 = MaxPooling2D(pool_size=pool_size)(x2)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
h0 = Flatten()(hx1)
h1 = Flatten()(hx2)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
combine = Concatenate()([h0,h1])
wrap = Dense(input_neurons, activation=act2,name='wrap')(combine)
score = Dense(num_classes,activation=act3,name='score')(wrap)
model = Model([inpx0,inpx1],score)
# sgd_x = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
# op_x = optimizers.Adagrad()
# print "Adagrad optimiser used"
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
def ensemble_rnn(dimx0,dimy0,dimx1,dimy1,num_classes,**kwargs):
print "No Dropout used"
rnn_units = kwargs['kwargs'].get('rnn_units',32)
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','sigmoid')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
pool_size = kwargs['kwargs'].get('pool_size',2)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
if type(pool_size) is int:
pool_size = [pool_size] * 2
print "Model Ensemble RNN"
print "Activation 1 {} 2 {} 3 {}".format(act1,act2,act3)
print "Neurons {} Dropout {}".format(input_neurons,dropout)
print "Poolsize {}".format(pool_size)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
inpx0 = Input(shape=(1,dimx0,dimy0),name='inpx0')
inpx1 = Input(shape=(1,dimx1,dimy1),name='inpx1')
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
x0 = LSTM(rnn_units, activation='relu',return_sequences=True, unroll=True)(inpx0)
x1 = LSTM(rnn_units, activation='sigmoid',return_sequences=True, unroll=True)(inpx1)
x2 = LSTM(rnn_units, activation='relu',return_sequences=False, unroll=True)(x0)
x3 = LSTM(rnn_units, activation='relu',return_sequences=False, unroll=True)(x1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
h0 = Dense(input_neurons, activation=act1)(x2)
h1 = Dense(input_neurons, activation=act2)(x3)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
combine = Concatenate()([h0,h1])
wrap = Dense(input_neurons, activation=act2,name='wrap')(combine)
score = Dense(num_classes,activation=act3,name='score')(wrap)
model = Model([inpx0,inpx1],score)
# sgd_x = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
# op_x = optimizers.Adagrad()
# print "Adagrad optimiser used"
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
def ensemble_cnn_rnn(dimx0,dimy0,dimx1,dimy1,num_classes,**kwargs):
print "No Dropout used"
rnn_units = kwargs['kwargs'].get('rnn_units',32)
input_neurons = kwargs['kwargs'].get('input_neurons',200)
act1 = kwargs['kwargs'].get('act1','relu')
act2 = kwargs['kwargs'].get('act2','sigmoid')
act3 = kwargs['kwargs'].get('act3','softmax')
dropout = kwargs['kwargs'].get('dropout',0.1)
nb_filter = kwargs['kwargs'].get('nb_filter',100)
filter_length = kwargs['kwargs'].get('filter_length',3)
pool_size = kwargs['kwargs'].get('pool_size',2)
loss = kwargs['kwargs'].get('loss','categorical_crossentropy')
optimizer = kwargs['kwargs'].get('optimizer','adam')
metrics = kwargs['kwargs'].get('metrics','accuracy')
if type(filter_length) is int:
filter_length = [filter_length] * 2
if type(pool_size) is int:
pool_size = [pool_size] * 2
print "Model Ensemble RNN"
print "Activation 1 {} 2 {} 3 {}".format(act1,act2,act3)
print "Neurons {} Dropout {}".format(input_neurons,dropout)
print "Kernels {} Size {} Poolsize {}".format(nb_filter,filter_length,pool_size)
print "Loss {} Optimizer {} Metrics {}".format(loss,optimizer,metrics)
inpx0 = Input(shape=(1,dimx0,dimy0),name='inpx0')
inpx1 = Input(shape=(1,dimx1,dimy1),name='inpx1')
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
x0 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx0)
x1 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(inpx1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx0 = MaxPooling2D(pool_size=pool_size)(x0)
hx1 = MaxPooling2D(pool_size=pool_size)(x1)
wrap0= Dropout(dropout)(hx0)
wrap1= Dropout(dropout)(hx1)
x2 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap0)
x3 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx2 = MaxPooling2D(pool_size=pool_size)(x2)
hx3 = MaxPooling2D(pool_size=pool_size)(x3)
wrap2= Dropout(dropout)(hx2)
wrap3= Dropout(dropout)(hx3)
x4 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap2)
x5 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap3)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx4 = MaxPooling2D(pool_size=pool_size)(x4)
hx5 = MaxPooling2D(pool_size=pool_size)(x5)
wrap4= Dropout(dropout)(hx4)
wrap5= Dropout(dropout)(hx5)
x6 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap4)
x7 = Conv2D(filters=nb_filter,
kernel_size=filter_length,
data_format='channels_first',
padding='same',
activation=act1)(wrap5)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
hx6 = MaxPooling2D(pool_size=pool_size)(x6)
hx7 = MaxPooling2D(pool_size=pool_size)(x7)
wrap6= Dropout(dropout)(hx6)
wrap7= Dropout(dropout)(hx7)
x8 = Permute((2,1,3))(wrap6)
a,b,c,d= kr(x8)
x8 = Reshape((b*d,c))(x8)
x9 = Permute((2,1,3))(wrap7)
a,b,c,d= kr(x9)
x9 = Reshape((b*d,c))(x9)
x_0 = LSTM(rnn_units, activation='relu',return_sequences=True)(x8)
x_1 = LSTM(rnn_units, activation='sigmoid',return_sequences=True)(x9)
x_2 = LSTM(rnn_units, activation='relu',return_sequences=False)(x_0)
x_3 = LSTM(rnn_units, activation='relu',return_sequences=False)(x_1)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
h0 = Dense(input_neurons, activation=act1)(x_2)
h1 = Dense(input_neurons, activation=act2)(x_3)
"""""""""""""""""""""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""
combine = Concatenate()([h0,h1])
wrap = Dense(input_neurons, activation=act2,name='wrap')(combine)
score = Dense(num_classes,activation=act3,name='score')(wrap)
model = Model([inpx0,inpx1],score)
# sgd_x = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
# op_x = optimizers.Adagrad()
# print "Adagrad optimiser used"
model.compile(loss=loss,
optimizer=optimizer,
metrics=[metrics])
return model
########################################### DYNAMIC MODELS ###########################################
"""
Dynamic Models can be accessed by
"""
########################### DYNAMIC DNN #################################
def dnn_dynamic(num_classes,input_dim,acts,**kwargs):
input_neurons = kwargs['kwargs'].get('input_neurons',200)
drops = kwargs['kwargs'].get('drops',[])
dnn_layers = kwargs['kwargs'].get('dnn_layers',1)
last_act = kwargs['kwargs'].get('last_act','softmax')
end_dense = kwargs['kwargs'].get('end_dense',{})
if not np.all([len(acts)==dnn_layers]):
print "Layers Mismatch"
return False
x = Input(shape=(input_dim,),name='inpx')
inpx = x
for i in range(dnn_layers):
x = Dense(input_neurons,activation=acts[i])(inpx)
if drops != []:
x = Dropout(drops[i])(x)
if end_dense != {}:
x = Dense(end_dense['input_neurons'], activation=end_dense['activation'],name='wrap')(x)
try:
x = Dropout(end_dense['dropout'])(x)
except:
pass
score = Dense(num_classes,activation=last_act,name='score')(x)
model = Model(inpx,score)
model.summary()
model.compile(loss='categorical_crossentropy',
optimizer='adadelta',
metrics=['accuracy'])
return model
########################### DYNAMIC CNN #################################
def cnn_dynamic(num_classes,dimx,dimy,acts,**kwargs):
cnn_layers = kwargs['kwargs'].get('cnn_layers',1)
nb_filter = kwargs['kwargs'].get('nb_filter',[])
filter_length = kwargs['kwargs'].get('filter_length',[])
pools = kwargs['kwargs'].get('pools',[])
drops = kwargs['kwargs'].get('drops',[])
bn = kwargs['kwargs'].get('batch_norm',False)
end_dense = kwargs['kwargs'].get('end_dense',{})
last_act = kwargs['kwargs'].get('last_act','softmax')
if not np.all([len(acts)==cnn_layers,len(nb_filter)==cnn_layers,len(filter_length)==cnn_layers]):
raise Exception("Layers Mismatch")
x = Input(shape=(1,dimx,dimy),name='inpx')
inpx = x
for i in range(cnn_layers):
x = Conv2D(filters=nb_filter[i],
kernel_size=filter_length[i],
data_format='channels_first',
padding='same',
activation=acts[i])(x)
if bn:
x=BatchNormalization()(x)
if pools != []:
if pools[i][0]=='max':
x = MaxPooling2D(pool_size=pools[i][1])(x)
elif pools[i][0]=='avg':
x = AveragePooling2D(pool_size=pools[i][1])(x)
elif pools[i][0]=='globmax':
x = GlobalMaxPooling2D()(x)
elif pools[i][0]=='globavg':
x = GlobalAveragePooling2D()(x)
if drops != []:
x = Dropout(drops[i])(x)
if pools[-1][0]=='max' or pools[-1][0]=='avg':
x = Flatten()(x)
if end_dense != {}:
x = Dense(end_dense['input_neurons'], activation=end_dense['activation'],name='wrap')(x)
try:
x = Dropout(end_dense['dropout'])(x)
except:
pass
score = Dense(num_classes,activation=last_act,name='score')(x)
model = Model(inpx,score)
model.summary()
model.compile(loss='categorical_crossentropy',
optimizer='adadelta',
metrics=['accuracy'])
return model
############################# DYNAMIC CBRNN #############################
def cbrnn_dynamic(num_classes,dimx,dimy,acts,**kwargs):
"""
"""
pools = kwargs['kwargs'].get('pools',[])
drops = kwargs['kwargs'].get('drops',[])
bn = kwargs['kwargs'].get('batch_norm',False)
end_dense = kwargs['kwargs'].get('end_dense',{})
last_act = kwargs['kwargs'].get('last_act','softmax')
cnn_layers = kwargs['kwargs'].get('cnn_layers',1)
rnn_layers = kwargs['kwargs'].get('rnn_layers',1)
rnn_type = kwargs['kwargs'].get('rnn_type','LSTM')
rnn_units = kwargs['kwargs'].get('rnn_units',[])
nb_filter = kwargs['kwargs'].get('nb_filter',[])
filter_length = kwargs['kwargs'].get('filter_length',[])
#CNN with biderectional lstm
print "CBRNN"
if not np.all([len(acts)==cnn_layers,len(nb_filter)==cnn_layers,len(filter_length)==cnn_layers]):
print "Layers Mismatch"
return False
x = Input(shape=(1,dimx,dimy),name='inpx')
inpx = x
for i in range(cnn_layers):
x = Conv2D(filters=nb_filter[i],
kernel_size=filter_length[i],
data_format='channels_first',
padding='same',
activation=acts[i])(x)
if bn:
x=BatchNormalization()(x)
if pools != []:
if pools[i][0]=='max':
x = MaxPooling2D(pool_size=pools[i][1])(x)
elif pools[i][0]=='avg':
x = AveragePooling2D(pool_size=pools[i][1])(x)
if drops != []:
x = Dropout(drops[i])(x)
x = Permute((2,1,3))(x)
a,b,c,d= kr(x)
x = Reshape((b*d,c))(x)
for i in range(rnn_layers):
#Only last layer can have return_sequences as False
r = False if i == rnn_layers-1 else True
if rnn_type=='LSTM':
x = LSTM(rnn_units[i],return_sequences=r)(x)
elif rnn_type=='GRU':
x = Bidirectional(GRU(rnn_units[i],return_sequences=r))(x)
elif rnn_type=='bdLSTM':
x = Bidirectional(LSTM(rnn_units[i],return_sequences=r))(x)
elif rnn_type=='bdGRU':
x = Bidirectional(GRU(rnn_units[i],return_sequences=r))(x)
x= Dropout(0.1)(x)
if end_dense != {}:
x = Dense(end_dense['input_neurons'], activation=end_dense['activation'],name='wrap')(x)
try:
x = Dropout(end_dense['dropout'])(x)
except:
pass
main_output = Dense(num_classes, activation=last_act, name='main_output')(x)
model = Model(inputs=inpx, outputs=main_output)
model.summary()
model.compile(loss='categorical_crossentropy',
optimizer='adam',
metrics=['accuracy'])
return model
| 36.017197 | 124 | 0.568635 | 4,787 | 41,888 | 4.838939 | 0.072488 | 0.076153 | 0.095191 | 0.029788 | 0.816396 | 0.786306 | 0.75695 | 0.718831 | 0.669833 | 0.642592 | 0 | 0.023007 | 0.244581 | 41,888 | 1,162 | 125 | 36.048193 | 0.709035 | 0.039725 | 0 | 0.721127 | 0 | 0 | 0.136302 | 0.007922 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.004225 | 0.012676 | null | null | 0.073239 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5c84ebe36aebe29f6fd6426b496803ebfd2ecf4a | 165 | py | Python | oozer/common/cold_storage/__init__.py | panoramichq/data-collection-fb | 550b90a303c880ae8c3dfd2801dc4f991a969f89 | [
"MIT"
] | null | null | null | oozer/common/cold_storage/__init__.py | panoramichq/data-collection-fb | 550b90a303c880ae8c3dfd2801dc4f991a969f89 | [
"MIT"
] | null | null | null | oozer/common/cold_storage/__init__.py | panoramichq/data-collection-fb | 550b90a303c880ae8c3dfd2801dc4f991a969f89 | [
"MIT"
] | null | null | null | # flake8: noqa: F401
from oozer.common.cold_storage.base_store import store # for backward compat
from oozer.common.cold_storage.batch_store import ChunkDumpStore
| 33 | 77 | 0.830303 | 24 | 165 | 5.541667 | 0.666667 | 0.135338 | 0.225564 | 0.285714 | 0.390977 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027211 | 0.109091 | 165 | 4 | 78 | 41.25 | 0.877551 | 0.230303 | 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 |
5cc3664c82996ad2b72e918e28bfde957c8159e7 | 22,055 | py | Python | backend/api/tests/api/test_document.py | vtmoreau/doccano | f0b94c3e56a917d8b2ee6d5d3efd6b900a6eaacb | [
"MIT"
] | null | null | null | backend/api/tests/api/test_document.py | vtmoreau/doccano | f0b94c3e56a917d8b2ee6d5d3efd6b900a6eaacb | [
"MIT"
] | null | null | null | backend/api/tests/api/test_document.py | vtmoreau/doccano | f0b94c3e56a917d8b2ee6d5d3efd6b900a6eaacb | [
"MIT"
] | null | null | null | from django.conf import settings
from django.contrib.auth.models import User
from model_mommy import mommy
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase
from ...models import Document
from .utils import (TestUtilsMixin, assign_user_to_role, create_default_roles,
remove_all_role_mappings)
class TestDocumentListAPI(APITestCase, TestUtilsMixin):
@classmethod
def setUpTestData(cls):
cls.project_member_name = 'project_member_name'
cls.project_member_pass = 'project_member_pass'
cls.non_project_member_name = 'non_project_member_name'
cls.non_project_member_pass = 'non_project_member_pass'
cls.super_user_name = 'super_user_name'
cls.super_user_pass = 'super_user_pass'
create_default_roles()
project_member = User.objects.create_user(username=cls.project_member_name,
password=cls.project_member_pass)
non_project_member = User.objects.create_user(username=cls.non_project_member_name,
password=cls.non_project_member_pass)
super_user = User.objects.create_superuser(username=cls.super_user_name,
password=cls.super_user_pass,
email='fizz@buzz.com')
cls.main_project = mommy.make('TextClassificationProject', users=[project_member, super_user])
doc1 = mommy.make('Document', project=cls.main_project)
doc2 = mommy.make('Document', project=cls.main_project)
mommy.make('Document', project=cls.main_project)
cls.random_order_project = mommy.make('TextClassificationProject', users=[project_member, super_user],
randomize_document_order=True)
mommy.make('Document', 100, project=cls.random_order_project)
sub_project = mommy.make('TextClassificationProject', users=[non_project_member])
mommy.make('Document', project=sub_project)
cls.url = reverse(viewname='doc_list', args=[cls.main_project.id])
cls.random_order_project_url = reverse(viewname='doc_list', args=[cls.random_order_project.id])
cls.data = {'text': 'example'}
assign_user_to_role(project_member=project_member, project=cls.main_project,
role_name=settings.ROLE_ANNOTATOR)
assign_user_to_role(project_member=project_member, project=cls.random_order_project,
role_name=settings.ROLE_ANNOTATOR)
mommy.make('DocumentAnnotation', document=doc1, user=project_member)
mommy.make('DocumentAnnotation', document=doc2, user=project_member)
def _test_list(self, url, username, password, expected_num_results):
self.client.login(username=username, password=password)
response = self.client.get(url, format='json')
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(len(response.json().get('results')), expected_num_results)
def test_returns_docs_to_project_member(self):
self._test_list(self.url,
username=self.project_member_name,
password=self.project_member_pass,
expected_num_results=3)
def test_returns_docs_to_project_member_filtered_to_active(self):
self._test_list('{}?doc_annotations__isnull=true'.format(self.url),
username=self.project_member_name,
password=self.project_member_pass,
expected_num_results=1)
def test_returns_docs_to_project_member_filtered_to_completed(self):
self._test_list('{}?doc_annotations__isnull=false'.format(self.url),
username=self.project_member_name,
password=self.project_member_pass,
expected_num_results=2)
def test_returns_docs_to_project_member_filtered_to_active_with_collaborative_annotation(self):
self._test_list('{}?doc_annotations__isnull=true'.format(self.url),
username=self.super_user_name,
password=self.super_user_pass,
expected_num_results=3)
self._patch_project(self.main_project, 'collaborative_annotation', True)
self._test_list('{}?doc_annotations__isnull=true'.format(self.url),
username=self.super_user_name,
password=self.super_user_pass,
expected_num_results=1)
def test_returns_docs_to_project_member_filtered_to_completed_with_collaborative_annotation(self):
self._test_list('{}?doc_annotations__isnull=false'.format(self.url),
username=self.super_user_name,
password=self.super_user_pass,
expected_num_results=0)
self._patch_project(self.main_project, 'collaborative_annotation', True)
self._test_list('{}?doc_annotations__isnull=false'.format(self.url),
username=self.super_user_name,
password=self.super_user_pass,
expected_num_results=2)
def test_returns_docs_in_consistent_order_for_all_users(self):
self.client.login(username=self.project_member_name, password=self.project_member_pass)
user1_documents = self.client.get(self.url, format='json').json().get('results')
self.client.logout()
self.client.login(username=self.super_user_name, password=self.super_user_pass)
user2_documents = self.client.get(self.url, format='json').json().get('results')
self.client.logout()
self.assertEqual([doc['id'] for doc in user1_documents], [doc['id'] for doc in user2_documents])
def test_can_return_docs_in_consistent_random_order(self):
self.client.login(username=self.project_member_name, password=self.project_member_pass)
user1_documents1 = self.client.get(self.random_order_project_url, format='json').json().get('results')
user1_documents2 = self.client.get(self.random_order_project_url, format='json').json().get('results')
self.client.logout()
self.assertEqual(user1_documents1, user1_documents2)
self.client.login(username=self.super_user_name, password=self.super_user_pass)
user2_documents1 = self.client.get(self.random_order_project_url, format='json').json().get('results')
user2_documents2 = self.client.get(self.random_order_project_url, format='json').json().get('results')
self.client.logout()
self.assertEqual(user2_documents1, user2_documents2)
self.assertNotEqual(user1_documents1, user2_documents1)
self.assertNotEqual(user1_documents2, user2_documents2)
def test_do_not_return_docs_to_non_project_member(self):
self.client.login(username=self.non_project_member_name,
password=self.non_project_member_pass)
response = self.client.get(self.url, format='json')
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_do_not_return_docs_of_other_projects(self):
self._test_list(self.url,
username=self.project_member_name,
password=self.project_member_pass,
expected_num_results=self.main_project.documents.count())
def test_allows_superuser_to_create_doc(self):
self.client.login(username=self.super_user_name,
password=self.super_user_pass)
response = self.client.post(self.url, format='json', data=self.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_disallows_project_member_to_create_doc(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.post(self.url, format='json', data=self.data)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
@classmethod
def doCleanups(cls):
remove_all_role_mappings()
class TestDocumentDetailAPI(APITestCase):
@classmethod
def setUpTestData(cls):
cls.project_member_name = 'project_member_name'
cls.project_member_pass = 'project_member_pass'
cls.non_project_member_name = 'non_project_member_name'
cls.non_project_member_pass = 'non_project_member_pass'
cls.super_user_name = 'super_user_name'
cls.super_user_pass = 'super_user_pass'
create_default_roles()
project_member = User.objects.create_user(username=cls.project_member_name,
password=cls.project_member_pass)
non_project_member = User.objects.create_user(username=cls.non_project_member_name,
password=cls.non_project_member_pass)
# Todo: change super_user to project_admin.
super_user = User.objects.create_superuser(username=cls.super_user_name,
password=cls.super_user_pass,
email='fizz@buzz.com')
project = mommy.make('TextClassificationProject', users=[project_member, super_user])
cls.doc = mommy.make('Document', project=project)
cls.url = reverse(viewname='doc_detail', args=[project.id, cls.doc.id])
cls.data = {'text': 'example'}
assign_user_to_role(project_member=project_member, project=project,
role_name=settings.ROLE_ANNOTATOR)
def test_returns_doc_to_project_member(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json')
self.assertEqual(response.data['id'], self.doc.id)
def test_do_not_return_doc_to_non_project_member(self):
self.client.login(username=self.non_project_member_name,
password=self.non_project_member_pass)
response = self.client.get(self.url, format='json')
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_allows_superuser_to_update_doc(self):
self.client.login(username=self.super_user_name,
password=self.super_user_pass)
response = self.client.patch(self.url, format='json', data=self.data)
self.assertEqual(response.data['text'], self.data['text'])
def test_disallows_project_member_to_update_doc(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.patch(self.url, format='json', data=self.data)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_allows_superuser_to_delete_doc(self):
self.client.login(username=self.super_user_name,
password=self.super_user_pass)
response = self.client.delete(self.url, format='json')
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
def test_disallows_project_member_to_delete_doc(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.delete(self.url, format='json')
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
@classmethod
def doCleanups(cls):
remove_all_role_mappings()
class TestApproveLabelsAPI(APITestCase):
@classmethod
def setUpTestData(cls):
cls.annotator_name = 'annotator_name'
cls.annotator_pass = 'annotator_pass'
cls.approver_name = 'approver_name_name'
cls.approver_pass = 'approver_pass'
cls.project_admin_name = 'project_admin_name'
cls.project_admin_pass = 'project_admin_pass'
create_default_roles()
annotator = User.objects.create_user(username=cls.annotator_name,
password=cls.annotator_pass)
approver = User.objects.create_user(username=cls.approver_name,
password=cls.approver_pass)
project_admin = User.objects.create_user(username=cls.project_admin_name,
password=cls.project_admin_pass)
project = mommy.make('TextClassificationProject', users=[annotator, approver, project_admin])
cls.doc = mommy.make('Document', project=project)
cls.url = reverse(viewname='approve_labels', args=[project.id, cls.doc.id])
assign_user_to_role(project_member=annotator, project=project,
role_name=settings.ROLE_ANNOTATOR)
assign_user_to_role(project_member=approver, project=project,
role_name=settings.ROLE_ANNOTATION_APPROVER)
assign_user_to_role(project_member=project_admin, project=project,
role_name=settings.ROLE_PROJECT_ADMIN)
def test_allow_project_admin_to_approve_and_disapprove_labels(self):
self.client.login(username=self.project_admin_name, password=self.project_admin_pass)
response = self.client.post(self.url, format='json', data={'approved': True})
self.assertEqual(response.data['annotation_approver'], self.project_admin_name)
response = self.client.post(self.url, format='json', data={'approved': False})
self.assertIsNone(response.data['annotation_approver'])
def test_allow_approver_to_approve_and_disapprove_labels(self):
self.client.login(username=self.approver_name, password=self.approver_pass)
response = self.client.post(self.url, format='json', data={'approved': True})
self.assertEqual(response.data['annotation_approver'], self.approver_name)
response = self.client.post(self.url, format='json', data={'approved': False})
self.assertIsNone(response.data['annotation_approver'])
def test_disallows_non_annotation_approver_to_approve_and_disapprove_labels(self):
self.client.login(username=self.annotator_name, password=self.annotator_pass)
response = self.client.post(self.url, format='json', data={'approved': True})
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
@classmethod
def doCleanups(cls):
remove_all_role_mappings()
class TestSearch(APITestCase):
@classmethod
def setUpTestData(cls):
cls.project_member_name = 'project_member_name'
cls.project_member_pass = 'project_member_pass'
cls.non_project_member_name = 'non_project_member_name'
cls.non_project_member_pass = 'non_project_member_pass'
create_default_roles()
project_member = User.objects.create_user(username=cls.project_member_name,
password=cls.project_member_pass)
non_project_member = User.objects.create_user(username=cls.non_project_member_name,
password=cls.non_project_member_pass)
cls.main_project = mommy.make('TextClassificationProject', users=[project_member])
cls.search_term = 'example'
doc1 = mommy.make('Document', text=cls.search_term, project=cls.main_project)
doc2 = mommy.make('Document', text='Lorem', project=cls.main_project)
label1 = mommy.make('Label', project=cls.main_project)
label2 = mommy.make('Label', project=cls.main_project)
mommy.make('SequenceAnnotation', document=doc1, user=project_member, label=label1)
mommy.make('SequenceAnnotation', document=doc2, user=project_member, label=label2)
sub_project = mommy.make('TextClassificationProject', users=[non_project_member])
mommy.make('Document', text=cls.search_term, project=sub_project)
cls.url = reverse(viewname='doc_list', args=[cls.main_project.id])
cls.data = {'q': cls.search_term}
assign_user_to_role(project_member=project_member, project=cls.main_project,
role_name=settings.ROLE_ANNOTATOR)
def test_can_filter_doc_by_term(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=self.data)
count = Document.objects.filter(text__contains=self.search_term,
project=self.main_project).count()
self.assertEqual(response.data['count'], count)
def test_can_order_doc_by_created_at_ascending(self):
params = {'ordering': 'created_at'}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project).order_by('created_at').values()
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
def test_can_order_doc_by_created_at_descending(self):
params = {'ordering': '-created_at'}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project).order_by('-created_at').values()
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
def test_can_order_doc_by_annotation_updated_at_ascending(self):
params = {'ordering': 'seq_annotations__updated_at'}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project).order_by('seq_annotations__updated_at').values()
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
def test_can_order_doc_by_annotation_updated_at_descending(self):
params = {'ordering': '-seq_annotations__updated_at'}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project).order_by('-seq_annotations__updated_at').values()
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
@classmethod
def doCleanups(cls):
remove_all_role_mappings()
class TestFilter(APITestCase):
@classmethod
def setUpTestData(cls):
cls.project_member_name = 'project_member_name'
cls.project_member_pass = 'project_member_pass'
create_default_roles()
project_member = User.objects.create_user(username=cls.project_member_name,
password=cls.project_member_pass)
cls.main_project = mommy.make('SequenceLabelingProject', users=[project_member])
cls.label1 = mommy.make('Label', project=cls.main_project)
cls.label2 = mommy.make('Label', project=cls.main_project)
doc1 = mommy.make('Document', project=cls.main_project)
doc2 = mommy.make('Document', project=cls.main_project)
mommy.make('Document', project=cls.main_project)
mommy.make('SequenceAnnotation', document=doc1, user=project_member, label=cls.label1)
mommy.make('SequenceAnnotation', document=doc2, user=project_member, label=cls.label2)
cls.url = reverse(viewname='doc_list', args=[cls.main_project.id])
cls.params = {'seq_annotations__label__id': cls.label1.id}
assign_user_to_role(project_member=project_member, project=cls.main_project,
role_name=settings.ROLE_ANNOTATOR)
def test_can_filter_by_label(self):
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=self.params)
docs = Document.objects.filter(project=self.main_project,
seq_annotations__label__id=self.label1.id).values()
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
def test_can_filter_doc_with_annotation(self):
params = {'seq_annotations__isnull': False}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project, seq_annotations__isnull=False).values()
self.assertEqual(response.data['count'], docs.count())
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
def test_can_filter_doc_without_anotation(self):
params = {'seq_annotations__isnull': True}
self.client.login(username=self.project_member_name,
password=self.project_member_pass)
response = self.client.get(self.url, format='json', data=params)
docs = Document.objects.filter(project=self.main_project, seq_annotations__isnull=True).values()
self.assertEqual(response.data['count'], docs.count())
for d1, d2 in zip(response.data['results'], docs):
self.assertEqual(d1['id'], d2['id'])
@classmethod
def doCleanups(cls):
remove_all_role_mappings()
| 53.016827 | 115 | 0.672909 | 2,614 | 22,055 | 5.355011 | 0.06733 | 0.117017 | 0.049793 | 0.048221 | 0.858123 | 0.825046 | 0.798114 | 0.784469 | 0.759251 | 0.734534 | 0 | 0.006735 | 0.225754 | 22,055 | 415 | 116 | 53.144578 | 0.813012 | 0.001859 | 0 | 0.608696 | 0 | 0 | 0.085045 | 0.034299 | 0 | 0 | 0 | 0.00241 | 0.089855 | 1 | 0.113043 | false | 0.168116 | 0.023188 | 0 | 0.150725 | 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 |
7a3a373d8e90f4ce7810b775f353120b7fe9db04 | 97,937 | py | Python | misc-cogs.py | RobertoDraws/TriviaNationBot | 0ad4ce9ab35fde0d9fe475ea871bca8e21416963 | [
"MIT"
] | 1 | 2020-12-18T20:32:13.000Z | 2020-12-18T20:32:13.000Z | misc-cogs.py | RobertoDraws/TriviaNationBot | 0ad4ce9ab35fde0d9fe475ea871bca8e21416963 | [
"MIT"
] | null | null | null | misc-cogs.py | RobertoDraws/TriviaNationBot | 0ad4ce9ab35fde0d9fe475ea871bca8e21416963 | [
"MIT"
] | 1 | 2019-04-04T12:09:39.000Z | 2019-04-04T12:09:39.000Z | #Included: doge, warm, cookie, eightball, coinflip, farm, sport/play
import discord
from discord.ext import commands
from discord.ext.commands import Bot
from discord.utils import find
import asyncio
import logging
import os
import time
import requests
import random
from time import localtime, strftime
from datetime import datetime
import subprocess
import colorama
from urllib.parse import quote
from itertools import cycle
from discord.utils import find
spin_logo = "https://cdn.discordapp.com/attachments/411306798042054657/471067301408538635/Trivia_Nation_Logo_HQ.jpg"
red = "0xff2f2f"
green = "0xbfea15"
class misccogs:
def __init__(self, bot):
self.bot = bot
#█▀▀▄ █▀▀█ █▀▀▀ █▀▀
#█░░█ █░░█ █░▀█ █▀▀
#▀▀▀░ ▀▀▀▀ ▀▀▀▀ ▀▀▀
@commands.command(pass_context = True)
async def doge(self, ctx):
url = 'https://dog.ceo/api/breeds/image/random'
r = requests.get(url)
data = r.json()
embed = discord.Embed(title=":dog: Woof!", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_image(url=data["message"])
embed.set_footer(text='+doge', icon_url=spin_logo)
await self.bot.say(embed=embed)
print ("| {0} has used the doge command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +doge', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url=data["message"])
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
#█░░░█ █▀▀█ █▀▀█ █▀▄▀█
#█▄█▄█ █▄▄█ █▄▄▀ █░▀░█
#░▀░▀░ ▀░░▀ ▀░▀▀ ▀░░░▀
@commands.command(pass_context=True)
async def warm(self, ctx, user: discord.Member):
embed=discord.Embed(title=":sun_with_face: **{0}** has been warmed by **{1}** :heart:.".format(user.name, ctx.message.author.name), color=0xeca762, timestamp=datetime.utcnow())
embed.set_footer(text='+warm', icon_url=spin_logo)
await self.bot.say(embed=embed)
print ("| {0} has used the warm command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +warm {}'.format(user.name), icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url=ctx.message.author.avatar_url)
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
@warm.error
async def warm_error(self, error, ctx):
print ("| {0} has used the warn command with an error in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Invalid syntax: +warm', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url=ctx.message.author.avatar_url)
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description="This command makes a member warm :wink:", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Invalid Syntax".format(user.name))
embed.add_field(name="Usage", value="+warm <member>")
embed.set_footer(text='+warm', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(5)
await self.bot.delete_message(ctx.message)
await self.bot.delete_message(botmessage1)
#█▀▀ █▀▀█ █▀▀█ █░█ ░▀░ █▀▀
#█░░ █░░█ █░░█ █▀▄ ▀█▀ █▀▀
#▀▀▀ ▀▀▀▀ ▀▀▀▀ ▀░▀ ▀▀▀ ▀▀▀
@commands.command(pass_context=True)
async def cookie(self, ctx, user: discord.Member):
embed=discord.Embed(title="**{0}** has given a :cookie: with :heart: to **{1}**.".format(ctx.message.author.name, user.name), color=0xeca762, timestamp=datetime.utcnow())
embed.set_footer(text='+cookie', icon_url=spin_logo)
await self.bot.say(embed=embed)
print ("| {0} has used the cookie command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +cookie {}'.format(user.name), icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url=ctx.message.author.avatar_url)
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
@cookie.error
async def cookie_error(self, error, ctIx):
print ("| {0} has used the cookie command with an error in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Invalid syntax: +cookie', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url=ctx.message.author.avatar_url)
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description="This command gives a member a :cookie:.", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Invalid Syntax".format(user.name))
embed.add_field(name="Usage", value="+cookie <member>")
embed.set_footer(text='+cookie', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(5)
await self.bot.delete_message(ctx.message)
await self.bot.delete_message(botmessage1)
#█▀▀ ░▀░ █▀▀▀ █░░█ ▀▀█▀▀ █▀▀▄ █▀▀█ █░░ █░░
#█▀▀ ▀█▀ █░▀█ █▀▀█ ░░█░░ █▀▀▄ █▄▄█ █░░ █░░
#▀▀▀ ▀▀▀ ▀▀▀▀ ▀░░▀ ░░▀░░ ▀▀▀░ ▀░░▀ ▀▀▀ ▀▀▀
@commands.command(pass_context=True, aliases=['8ball'])
@commands.cooldown(1, 20, commands.BucketType.user)
async def eightball(self, ctx, *, mesg):
print ("| {0} has used the eightball command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +eightball', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://thumbs.gfycat.com/KeenVerifiableCavy-max-1mb.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="Randomly selecting answer, give me a few seconds...", color=0xffffff)
embed.set_author(name="Magic 8 Ball", icon_url="https://thumbs.gfycat.com/KeenVerifiableCavy-max-1mb.gif")
botmessage = await self.bot.say(embed=embed)
await asyncio.sleep(5)
await self.bot.delete_message(botmessage)
possible_responses = [
':white_check_mark: It is certain.',
':white_check_mark: It is decidedly so.',
':white_check_mark: Without a doubt.',
':white_check_mark: Yes - definitely.',
':white_check_mark: You may rely on it.',
':white_check_mark: As I see it, yes.',
':white_check_mark: Most likely.',
':white_check_mark: Outlook good.',
':white_check_mark: Yes.',
':white_check_mark: Signs point to yes.',
':warning: Reply hazy, try again',
':warning: Ask again later.',
':warning: Better not tell you now.',
':warning: Cannot predict now.',
':warning: Concentrate and ask again.',
":x: Don't count on it.",
':x: My reply is no.',
':x: My sources say no.',
':x: Outlook not so good.',
':x: Very doubtful.',
]
answer = (random.choice(possible_responses))
embed=discord.Embed(title="And the answer is...", color=0xffffff, timestamp=datetime.utcnow())
embed.set_author(name="Magic 8 Ball", icon_url="https://thumbs.gfycat.com/KeenVerifiableCavy-max-1mb.gif")
embed.add_field(name="Question", value='{}'.format(mesg), inline=False)
embed.add_field(name="Answer", value='{}'.format(answer), inline=False)
embed.set_footer(text='+eightball', icon_url=spin_logo)
await self.bot.say(embed=embed)
@eightball.error
async def eightball_error(self, error, ctx):
print ("| {0} has used the eightball command on cooldown in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Cooldown: +eightball', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://thumbs.gfycat.com/KeenVerifiableCavy-max-1mb.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description=f'**You are on cooldown or you have not asked a question :alarm_clock:.** Try again in {str(round(error.retry_after, 2))} seconds!\n*This message will be deleted once you can use the* `+eightball` *command again.*', color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="8Ball Cooldown".format(user.name))
embed.set_thumbnail(url="https://i.imgur.com/zEbHiZs.gif")
embed.set_footer(text='+eightball', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(error.retry_after)
await self.bot.delete_message(botmessage1)
#█▀▀ █▀▀█ ░▀░ █▀▀▄ █▀▀ █░░ ░▀░ █▀▀█
#█░░ █░░█ ▀█▀ █░░█ █▀▀ █░░ ▀█▀ █░░█
#▀▀▀ ▀▀▀▀ ▀▀▀ ▀░░▀ ▀░░ ▀▀▀ ▀▀▀ █▀▀▀
@commands.command(pass_context=True, aliases=['coin', 'flip'])
@commands.cooldown(1, 20, commands.BucketType.user)
async def coinflip(self, ctx, *, choices):
print ("| {0} has used the coinflip command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +coinflip', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://i.imgur.com/GsrBafV.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="Flipping, give me a few seconds...", color=0xffffff)
embed.set_author(name="Coin Flip", icon_url="https://i.imgur.com/GsrBafV.gif")
botmessage = await self.bot.say(embed=embed)
await asyncio.sleep(5)
await self.bot.delete_message(botmessage)
answer = random.choice(list(map(str.strip, choices.split('|'))))
embed=discord.Embed(title="And the answer is...", color=0xffffff, timestamp=datetime.utcnow())
embed.set_author(name="Coin Flip", icon_url="https://i.imgur.com/GsrBafV.gif")
embed.add_field(name="Options", value='{}'.format(choices), inline=False)
embed.add_field(name="Answer", value='{}'.format(answer), inline=False)
embed.set_footer(text='+coinflip', icon_url=spin_logo)
await self.bot.say(embed=embed)
@coinflip.error
async def coinflip_error(self, error, ctx):
print ("| {0} has used the coinflip command on cooldown in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Cooldown: +coinflip', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://i.imgur.com/GsrBafV.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description=f'**You are on cooldown or you have not put in two arguments :alarm_clock:.**Try again in {str(round(error.retry_after, 2))} seconds!\n*This message will be deleted once you can use the* `+coinflip` *command again.*', color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Coin Flip Cooldown".format(user.name))
embed.set_thumbnail(url="https://i.imgur.com/zEbHiZs.gif")
embed.set_footer(text='+coinflip', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(error.retry_after)
await self.bot.delete_message(botmessage1)
#█▀▀ █▀▀█ █▀▀█ █▀▄▀█
#█▀▀ █▄▄█ █▄▄▀ █░▀░█
#▀░░ ▀░░▀ ▀░▀▀ ▀░░░▀
@commands.command(pass_context=True, aliases=['farmy'])
@commands.cooldown(1, 30, commands.BucketType.user)
async def farm(self, ctx):
print ("| {0} has used the farm command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +farm', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://i.imgur.com/g12DuwU.png')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="Farming, give me a few seconds...", color=0xffffff)
embed.set_author(name="Farmy", icon_url="https://media0.giphy.com/media/l378lr9mW23l1Tw4g/giphy.gif")
botmessage = await self.bot.say(embed=embed)
await asyncio.sleep(3)
await self.bot.delete_message(botmessage)
possible_responses = [
':green_apple:',
':apple:',
':pear:',
':tangerine:',
':lemon:',
':banana:',
':watermelon:',
':grapes:',
':strawberry:',
':melon:',
':cherries:',
':peach:',
':pineapple:',
':tomato:',
':eggplant:',
':hot_pepper:',
':corn:',
':sweet_potato:',
':honey_pot:',
':bread:',
':cheese:',
':bacon:',
':potato:',
':carrot:',
':french_bread:',
':kiwi:',
':peanuts:',
':milk:',
':chocolate_bar:',
':burrito:',
':chicken:',
':poultry_leg:',
':meat_on_bone:',
':fried_shrimp:',
':cooking:',
':hamburger:',
':fries:',
':hotdog:',
':pizza:',
':spaghetti:',
':taco:',
':ramen:',
':stew:',
':fish_cake:',
':sushi:',
':bento:',
':curry:',
':rice_ball:',
':rice:',
':rice_cracker:',
':oden:',
':dango:',
':shaved_ice:',
':ice_cream:',
':icecream:',
':cake:',
':birthday:',
':custard:',
':candy:',
':lollipop:',
':popcorn:',
':doughnut:',
':cookie:',
':beer:',
':beers:',
':wine_glass:',
':cocktail:',
':tropical_drink:',
':salad:',
':shallow_pan_of_food:',
':stuffed_flatbread:',
':champagne_glass:',
':tumbler_glass:',
':spoon:',
':egg:',
':pancakes:',
':poop:',
]
item = (random.choice(possible_responses))
embed=discord.Embed(title=":tractor: | {0}, you farmed: {1}!".format(ctx.message.author.name, item), color=0xffffff, timestamp=datetime.utcnow())
embed.set_author(name="Farmy", icon_url="https://media0.giphy.com/media/l378lr9mW23l1Tw4g/giphy.gif")
embed.set_thumbnail(url='https://i.imgur.com/g12DuwU.png')
embed.set_footer(text='+farm (Idea by DevelUpGames#1185)', icon_url=spin_logo)
await self.bot.say(embed=embed)
@farm.error
async def farm_error(self, error, ctx):
print ("| {0} has used the farm command on cooldown in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Cooldown: +farm', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://i.imgur.com/GsrBafV.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description=f'**You are on cooldown! :alarm_clock:.**Try again in {str(round(error.retry_after, 2))} seconds!\n*This message will be deleted once you can use the* `+farm` *command again.*', color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Farmy Cooldown".format(user.name))
embed.set_thumbnail(url="https://i.imgur.com/zEbHiZs.gif")
embed.set_footer(text='+farm', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(error.retry_after)
await self.bot.delete_message(botmessage1)
#█▀▀ █▀▀█ █▀▀█ █▀▀█ ▀▀█▀▀
#▀▀█ █░░█ █░░█ █▄▄▀ ░░█░░
#▀▀▀ █▀▀▀ ▀▀▀▀ ▀░▀▀ ░░▀░░
@commands.command(pass_context=True, aliases=['play'])
@commands.cooldown(1, 30, commands.BucketType.user)
async def sport(self, ctx):
print ("| {0} has used the sport command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +sport', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://cdn.dribbble.com/users/68398/screenshots/3333492/cyclist.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="Thinking, give me a few seconds...", color=0xffffff)
embed.set_author(name="Sport", icon_url="https://i.imgur.com/Yb9gtzH.jpg")
botmessage = await self.bot.say(embed=embed)
await asyncio.sleep(3)
await self.bot.delete_message(botmessage)
possible_responses = [
':soccer:',
':basketball:',
':football:',
':baseball:',
':tennis:',
':volleyball:',
':rugby_football:',
':8ball:',
':ping_pong:',
':badminton:',
':goal:',
':hockey:',
':field_hockey:',
':cricket:',
':golf:',
':bow_and_arrow:',
':fishing_pole_and_fish:',
':boxing_glove:',
':martial_arts_uniform:',
':running_shirt_with_sash:',
':ice_skate:',
':ski:',
':skier:',
':snowboarder:',
':lifter:',
':wrestlers:',
':cartwheel:',
':person_doing_cartwheel:',
':basketball_player:',
':person_with_ball:',
':basketball_player::',
':person_with_ball:',
':fencer:',
':handball:',
':golfer:',
':horse_racing:',
':surfer:',
':swimmer:',
':water_polo:',
':rowboat:',
':mountain_bicyclist:',
':bicyclist:',
':circus_tent:',
':juggling:',
':juggler:',
':performing_arts:',
':art:',
':clapper:',
':microphone:',
':headphones:',
':musical_score:',
':musical_keyboard:',
':drum:',
':saxophone:',
':trumpet:',
':guitar:',
':violin:',
':game_die:',
':dart:',
':bowling:',
':video_game:',
':slot_machine:',
]
sport = (random.choice(possible_responses))
embed=discord.Embed(title=":trophy: | {0}, you will play/do: {1}!".format(ctx.message.author.name, sport), color=0xffffff, timestamp=datetime.utcnow())
embed.set_author(name="Sports", icon_url="https://i.imgur.com/Yb9gtzH.jpg")
embed.set_thumbnail(url='https://cdn.dribbble.com/users/68398/screenshots/3333492/cyclist.gif')
embed.set_footer(text='+sport', icon_url=spin_logo)
await self.bot.say(embed=embed)
@sport.error
async def sport_error(self, error, ctx):
print ("| {0} has used the sport command on cooldown in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Cooldown: +sport', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://i.imgur.com/GsrBafV.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description=f'**You are on cooldown! :alarm_clock:.**Try again in {str(round(error.retry_after, 2))} seconds!\n*This message will be deleted once you can use the* `+sport` *command again.*', color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Sport Cooldown".format(user.name))
embed.set_thumbnail(url="https://i.imgur.com/zEbHiZs.gif")
embed.set_footer(text='+sport', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(error.retry_after)
await self.bot.delete_message(botmessage1)
@commands.command(pass_context=True)
@commands.cooldown(1, 30, commands.BucketType.user)
async def fish(self, ctx):
print ("| {0} has used the fish command in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Command: +fish', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://media.giphy.com/media/Y4sT5ESJWdPGtTKqNd/giphy.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="Fishing, give me a few seconds...", color=0xffffff)
embed.set_author(name="Fishy", icon_url="https://media.giphy.com/media/Y4sT5ESJWdPGtTKqNd/giphy.gif")
botmessage = await self.bot.say(embed=embed)
await asyncio.sleep(3)
await self.bot.delete_message(botmessage)
possible_responses = [
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :shopping_cart:!**'.format(ctx.message.author.name), #Shopping Cart
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :paperclip:!**'.format(ctx.message.author.name), #Paper Clip
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :wrench:!**'.format(ctx.message.author.name), #Wrench
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :mans_shoe:!**'.format(ctx.message.author.name), #Shoes
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :battery:!**'.format(ctx.message.author.name), #Battery
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :fish:!**'.format(ctx.message.author.name), #Blue fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :tropical_fish:!**'.format(ctx.message.author.name), #Yellow fish
':fishing_pole_and_fish: | **{}, you caught: :whale:!**'.format(ctx.message.author.name), #Whale
':fishing_pole_and_fish: | **{}, you caught: :whale:!**'.format(ctx.message.author.name), #Whale
':fishing_pole_and_fish: | **{}, you caught: :whale:!**'.format(ctx.message.author.name), #Whale
':fishing_pole_and_fish: | **{}, you caught: :whale:!**'.format(ctx.message.author.name), #Whale
':fishing_pole_and_fish: | **{}, you caught: :penguin:!**'.format(ctx.message.author.name), #Penguin
':fishing_pole_and_fish: | **{}, you caught: :penguin:!**'.format(ctx.message.author.name), #Penguin
':fishing_pole_and_fish: | **{}, you caught: :penguin:!**'.format(ctx.message.author.name), #Penguin
':fishing_pole_and_fish: | **{}, you caught: :crown:!**'.format(ctx.message.author.name), #Crown
':fishing_pole_and_fish: | **{}, you caught: :crown:!**'.format(ctx.message.author.name), #Crown
':fishing_pole_and_fish: | **{}, you caught: :gem:!**'.format(ctx.message.author.name), #Gem
]
fish = (random.choice(possible_responses))
embed=discord.Embed(title="{}".format(fish), color=0xffffff, timestamp=datetime.utcnow())
embed.set_author(name="Fishy", icon_url="https://media.giphy.com/media/Y4sT5ESJWdPGtTKqNd/giphy.gif")
embed.set_thumbnail(url='https://media.giphy.com/media/Y4sT5ESJWdPGtTKqNd/giphy.gif')
embed.set_footer(text='+fish', icon_url=spin_logo)
await self.bot.say(embed=embed)
@fish.error
async def fish_error(self, error, ctx):
print ("| {0} has used the fish command on cooldown in {1}".format(ctx.message.author.name, ctx.message.server.name))
print('|-----------------------------------------------------------------------------')
user = discord.Member
embed=discord.Embed(title="", color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name='Cooldown: +fish', icon_url=spin_logo)
embed.add_field(name="Server", value="{}".format(ctx.message.server.name))
embed.add_field(name="Channel", value="{}".format(ctx.message.channel.mention))
embed.add_field(name="User", value="{}".format(ctx.message.author.mention))
embed.set_thumbnail(url='https://media.giphy.com/media/Y4sT5ESJWdPGtTKqNd/giphy.gif')
embed.set_footer(text="ID: {}".format(ctx.message.id))
await self.bot.send_message(discord.Object(id='436634502392053761'), embed=embed)
embed=discord.Embed(title="", description=f'**You are on cooldown :alarm_clock:.** Try again in {str(round(error.retry_after, 2))} seconds!\n*This message will be deleted once you can use the* `+fish` *command again.*', color=0xbfea15, timestamp=datetime.utcnow())
embed.set_author(name="Fishy Cooldown".format(user.name))
embed.set_thumbnail(url="https://i.imgur.com/zEbHiZs.gif")
embed.set_footer(text='+fish', icon_url=spin_logo)
botmessage1 = await self.bot.say(embed=embed)
await asyncio.sleep(error.retry_after)
await self.bot.delete_message(botmessage1)
def setup(bot):
bot.add_cog(misccogs(bot))
| 84.501294 | 313 | 0.604205 | 11,491 | 97,937 | 4.989731 | 0.042294 | 0.116679 | 0.180547 | 0.230985 | 0.943562 | 0.938748 | 0.935801 | 0.931615 | 0.922424 | 0.909047 | 0 | 0.006943 | 0.192593 | 97,937 | 1,158 | 314 | 84.574266 | 0.712488 | 0.056138 | 0 | 0.73772 | 0 | 0.004634 | 0.463579 | 0.160073 | 0 | 0 | 0.003264 | 0 | 0 | 1 | 0.001854 | false | 0.007414 | 0.015755 | 0 | 0.018536 | 0.027804 | 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 |
7abea5cefb9ece4bdd5e00bd6f12b07053cf28a2 | 6,507 | py | Python | token.py | Asjadd/Discord-brute-force-Public | a8e6e80dbb0cb7754707fc3890a15997de3f679c | [
"MIT"
] | 1 | 2022-02-28T01:21:08.000Z | 2022-02-28T01:21:08.000Z | token.py | Asjadd/Discord-brute-force-Public | a8e6e80dbb0cb7754707fc3890a15997de3f679c | [
"MIT"
] | null | null | null | token.py | Asjadd/Discord-brute-force-Public | a8e6e80dbb0cb7754707fc3890a15997de3f679c | [
"MIT"
] | null | null | null | from pytransform import pyarmor_runtime
pyarmor_runtime()
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8fcb6883a3b20462aaa7ce787045ac24e1addbc9 | 11,396 | py | Python | brywidgets/images.py | andy31lewis/brywidgets | 2ff3ffe633cbf226208d7af95cc0eb542173be2b | [
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"BSD-3-Clause"
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login_b64 = 'data:image/png;base64,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'
save_b64 = 'data:image/png;base64,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'
open_b64 = 'data:image/png;base64,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'
uparrow_b64 = 'data:image/png;base64,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'
saveas_b64 = 'data:image/png;base64,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'
closebutton_b64 = 'data:image/png;base64,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'
hues_b64 = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQAAAAAwCAYAAAD+f6R/AAABIklEQVR4nO3aMW7DMBBE0ZWS+P7nDZIohXubjbAk5z1gLzDFhwDxuKquelStcH8fVd+1xl312T/Y0H31jzV452//WqN31E//YAN3FhBLACCYAEAwAYBgAgDBBACCCQAEO+uoWuWuWufax9pw1AnWGr72sQbPFwAEEwAIJgAQTAAgmABAMAGAYAIAwbwDuOGeJhhsp1EXegfwNMFg3gEArwgABBMACCYAEEwAIJgAQDABgGDeAdxw7UPtOOpS7wAmGMs7AOAdAYBgAgDBBACCCQAEEwAIJgAQbJ13ANX9x9Q7gOZRu5fyDgDYiwBAMAGAYAIAwQQAggkABBMACLbMO4D+P6beAXTeBEt5BwDsRQAgmABAMAGAYAIAwQQAggkABPsHW+IBkGJm7agAAAAASUVORK5CYII='
minus_b64 = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEAAAABACAYAAACqaXHeAAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAADzZAAA82QHNHPbHAAAAB3RJTUUH5AQPCQkWxiVwNQAAAGlJREFUeNrt2LERgCAQRUHObuyA/iM7sByIzmFs4e9GEPKA5MYAAAAAACBHnZt5r5Vy8Oet+gIkHfwf4Yr/Aqm33+JfgAACCCCAAAIIIIAAAgggQOY8oCcjsfOAXqTNBdIvHgAAAAAg0wbIrBHGR5+81AAAAABJRU5ErkJggg=='
copy_b64 = 'data:image/png;base64,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'
circle_b64 = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAARElEQVR4nI2QwQkAMQzDrO6/s+7VkpYLxE8h4mDUAKaJSpKQxApq9gGV1UkvX13lm5EIOBLPj+Pqbp7KGe+otwP4N9cH/OwpBV7e2E4AAAAASUVORK5CYII='
plus_b64 = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEAAAABACAYAAACqaXHeAAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAADzZAAA82QHNHPbHAAAAB3RJTUUH5AQPCQYbPwwQRwAAALZJREFUeNrt20EOQDAQBVDjNm7g/is3cJxaSbBEmzbz/spGYp7q4qdiapB1KeXNfdseUfvZosfBW0JE78PXRpin5AEAAAAAAAAAAAAAAAAAAAAAAACQLbee7e8er+ecHWNkG/yJ4BPI+vZtggAAAAAAAAAAAAAAAACQNdseMbc4i9d1H3BeZOsFbpVYjTgnaBMEAAAAAAAAAAAAAAAAAAAAAABIBjBK2TrEChjy5+lrvhSktVfSAYIsKVsYNMYvAAAAAElFTkSuQmCC'
folder_b64 = 'data:image/png;base64,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'
| 712.25 | 1,510 | 0.963233 | 350 | 11,396 | 31.32 | 0.748571 | 0.009579 | 0.01642 | 0.020525 | 0.069057 | 0.055647 | 0.044335 | 0.044335 | 0 | 0 | 0 | 0.096555 | 0.003949 | 11,396 | 15 | 1,511 | 759.733333 | 0.869175 | 0 | 0 | 0 | 0 | 0.866667 | 0.979115 | 0.979115 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8ff2eaa72868fab3cee8788194fcefaf48dafb08 | 13,570 | py | Python | src/executor/clients/geth.py | marioevz/kintsugi_testing | 49d2275f16f8d9f2a1160fe05690f8a5c44337d3 | [
"MIT"
] | 4 | 2021-11-13T16:20:18.000Z | 2021-12-21T20:36:04.000Z | src/executor/clients/geth.py | marioevz/kintsugi_testing | 49d2275f16f8d9f2a1160fe05690f8a5c44337d3 | [
"MIT"
] | null | null | null | src/executor/clients/geth.py | marioevz/kintsugi_testing | 49d2275f16f8d9f2a1160fe05690f8a5c44337d3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import re
# Client specific messages:
MESSAGES = {
'UnknownHeader': 'unknown header',
'UnknownPayload': 'unknown payload',
'FinalizedBlockHash_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'FinalizedBlockHash_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'FinalizedBlockHash_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ForkchoiceStateV1.finalizedBlockHash of type common.Hash',
'FinalizedBlockHash_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ForkchoiceStateV1.finalizedBlockHash of type common.Hash',
'HeadBlockHash_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'HeadBlockHash_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'HeadBlockHash_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ForkchoiceStateV1.headBlockHash of type common.Hash',
'HeadBlockHash_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ForkchoiceStateV1.headBlockHash of type common.Hash',
'SafeBlockHash_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'SafeBlockHash_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'SafeBlockHash_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ForkchoiceStateV1.safeBlockHash of type common.Hash',
'SafeBlockHash_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ForkchoiceStateV1.safeBlockHash of type common.Hash',
'Random_TooShort': 'invalid argument 1: hex string has length 62, want 64 for common.Hash',
'Random_TooLong': 'invalid argument 1: hex string has length 66, want 64 for common.Hash',
'Random_Odd': 'invalid argument 1: json: cannot unmarshal hex string of odd length into Go struct field PayloadAttributesV1.random of type common.Hash',
'Random_Prefix': 'invalid argument 1: json: cannot unmarshal hex string without 0x prefix into Go struct field PayloadAttributesV1.random of type common.Hash',
'FeeRecipient_TooShort': 'invalid argument 1: hex string has length 38, want 40 for common.Address',
'FeeRecipient_TooLong': 'invalid argument 1: hex string has length 42, want 40 for common.Address',
'FeeRecipient_Odd': 'invalid argument 1: json: cannot unmarshal hex string of odd length into Go struct field PayloadAttributesV1.feeRecipient of type common.Address',
'FeeRecipient_Prefix': 'invalid argument 1: json: cannot unmarshal hex string without 0x prefix into Go struct field PayloadAttributesV1.feeRecipient of type common.Address',
'Timestamp_Prefix': 'invalid argument 1: json: cannot unmarshal hex string without 0x prefix into Go struct field PayloadAttributesV1.timestamp of type hexutil.Uint64',
'Timestamp_LeadingZeros': 'invalid argument 1: json: cannot unmarshal hex number with leading zero digits into Go struct field PayloadAttributesV1.timestamp of type hexutil.Uint64',
'Timestamp_Empty': 'invalid argument 1: json: cannot unmarshal hex string "0x" into Go struct field PayloadAttributesV1.timestamp of type hexutil.Uint64',
'Timestamp_Long': 'invalid argument 1: json: cannot unmarshal hex number > 64 bits into Go struct field PayloadAttributesV1.timestamp of type hexutil.Uint64',
'BlockHash_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'BlockHash_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.blockHash of type common.Hash',
'BlockHash_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.blockHash of type common.Hash',
'BlockHash_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'Coinbase_TooLong': 'invalid argument 0: hex string has length 42, want 40 for common.Address',
'Coinbase_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.coinbase of type common.Address',
'Coinbase_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.coinbase of type common.Address',
'Coinbase_TooShort': 'invalid argument 0: hex string has length 38, want 40 for common.Address',
'ExtraData_TooLong': 'invalid extradata length: 33',
'ExtraData_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.extraData of type hexutil.Bytes',
'ExtraData_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.extraData of type hexutil.Bytes',
'LogsBloom_TooLong': 'REPLACE',
'LogsBloom_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.logsBloom of type hexutil.Bytes',
'LogsBloom_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.logsBloom of type hexutil.Bytes',
'LogsBloom_Short': 'REPLACE',
'ParentHash_Exec_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'ParentHash_Exec_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.parentHash of type common.Hash',
'ParentHash_Exec_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.parentHash of type common.Hash',
'ParentHash_Exec_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'Random_Exec_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'Random_Exec_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.random of type common.Hash',
'Random_Exec_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.random of type common.Hash',
'Random_Exec_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'ReceiptRoot_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'ReceiptRoot_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.receiptRoot of type common.Hash',
'ReceiptRoot_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.receiptRoot of type common.Hash',
'ReceiptRoot_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'StateRoot_TooLong': 'invalid argument 0: hex string has length 66, want 64 for common.Hash',
'StateRoot_Odd': 'invalid argument 0: json: cannot unmarshal hex string of odd length into Go struct field ExecutableDataV1.stateRoot of type common.Hash',
'StateRoot_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.stateRoot of type common.Hash',
'StateRoot_TooShort': 'invalid argument 0: hex string has length 62, want 64 for common.Hash',
'BlockNumber_Empty': 'invalid argument 0: json: cannot unmarshal hex string "0x" into Go struct field ExecutableDataV1.blockNumber of type hexutil.Uint64',
'BlockNumber_LeadingZeros': 'invalid argument 0: json: cannot unmarshal hex number with leading zero digits into Go struct field ExecutableDataV1.blockNumber of type hexutil.Uint64',
'BlockNumber_TooLong': 'invalid argument 0: json: cannot unmarshal hex number > 64 bits into Go struct field ExecutableDataV1.blockNumber of type hexutil.Uint64',
'BlockNumber_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.blockNumber of type hexutil.Uint64',
'GasLimit_Empty': 'invalid argument 0: json: cannot unmarshal hex string "0x" into Go struct field ExecutableDataV1.gasLimit of type hexutil.Uint64',
'GasLimit_LeadingZeros': 'invalid argument 0: json: cannot unmarshal hex number with leading zero digits into Go struct field ExecutableDataV1.gasLimit of type hexutil.Uint64',
'GasLimit_TooLong': 'invalid argument 0: json: cannot unmarshal hex number > 64 bits into Go struct field ExecutableDataV1.gasLimit of type hexutil.Uint64',
'GasLimit_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.gasLimit of type hexutil.Uint64',
'GasUsed_Empty': 'invalid argument 0: json: cannot unmarshal hex string "0x" into Go struct field ExecutableDataV1.gasUsed of type hexutil.Uint64',
'GasUsed_LeadingZeros': 'invalid argument 0: json: cannot unmarshal hex number with leading zero digits into Go struct field ExecutableDataV1.gasUsed of type hexutil.Uint64',
'GasUsed_TooLong': 'invalid argument 0: json: cannot unmarshal hex number > 64 bits into Go struct field ExecutableDataV1.gasUsed of type hexutil.Uint64',
'GasUsed_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.gasUsed of type hexutil.Uint64',
'Timestamp_Exec_Empty': 'invalid argument 0: json: cannot unmarshal hex string "0x" into Go struct field ExecutableDataV1.timestamp of type hexutil.Uint64',
'Timestamp_Exec_LeadingZeros': 'invalid argument 0: json: cannot unmarshal hex number with leading zero digits into Go struct field ExecutableDataV1.timestamp of type hexutil.Uint64',
'Timestamp_Exec_TooLong': 'invalid argument 0: json: cannot unmarshal hex number > 64 bits into Go struct field ExecutableDataV1.timestamp of type hexutil.Uint64',
'Timestamp_Exec_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.timestamp of type hexutil.Uint64',
'BaseFeePerGas_Empty': 'invalid argument 0: json: cannot unmarshal hex string "0x" into Go struct field ExecutableDataV1.baseFeePerGas of type *hexutil.Big',
'BaseFeePerGas_LeadingZeros': 'invalid argument 0: json: cannot unmarshal hex number with leading zero digits into Go struct field ExecutableDataV1.baseFeePerGas of type *hexutil.Big',
'BaseFeePerGas_TooLong': 'invalid argument 0: json: cannot unmarshal hex number > 256 bits into Go struct field ExecutableDataV1.baseFeePerGas of type *hexutil.Big',
'BaseFeePerGas_Prefix': 'invalid argument 0: json: cannot unmarshal hex string without 0x prefix into Go struct field ExecutableDataV1.baseFeePerGas of type *hexutil.Big',
}
# Geth Client Specific Methods
def port_num() -> int:
return 8545
def prepare_genesis(config) -> dict:
# Geth uses a 1:1 copy of the genesis block
config["genesis_path"] = ''
def prepare_init_command(config) -> list[str]:
if not "genesis_path" in config:
raise Exception("Config missing genesis_path")
if not "client_binary" in config:
raise Exception("Config missing client_binary")
if not "data_dir_path" in config:
raise Exception("Config missing data_dir_path")
comm = [config['client_binary'], '--catalyst', '--datadir', config['data_dir_path']]
if 'verbose' in config and config['verbose']:
comm += ['--verbosity', '5']
comm += ['init', config["genesis_path"]]
return comm
def prepare_start_command(config) -> list[str]:
if not "client_binary" in config:
raise Exception("Config missing client_binary")
if not "data_dir_path" in config:
raise Exception("Config missing data_dir_path")
comm = [config['client_binary'], '--catalyst', '--http', '--ws', '-http.api', "engine,eth", '--datadir', config['data_dir_path']]
if 'verbose' in config and config['verbose']:
comm += ['--verbosity', '5']
return comm
def detect_start(proc) -> bool:
start_detected = False
while not start_detected:
line = proc.stderr.readline().strip()
if not line:
break
m = re.search(r'HTTP server started', line)
if m:
print(f"Client start detected.")
start_detected = True
return start_detected | 89.276316 | 288 | 0.707074 | 1,711 | 13,570 | 5.537697 | 0.087084 | 0.113984 | 0.101319 | 0.116095 | 0.914829 | 0.906174 | 0.882955 | 0.878839 | 0.858892 | 0.853509 | 0 | 0.028301 | 0.221444 | 13,570 | 152 | 289 | 89.276316 | 0.868528 | 0.008696 | 0 | 0.12069 | 0 | 0.431034 | 0.773887 | 0.136367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043103 | false | 0 | 0.008621 | 0.008621 | 0.086207 | 0.008621 | 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 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8ff3218b1440e6645a7f1db5416f26fab792c4ad | 32,842 | py | Python | venv/lib/python3.8/site-packages/azure/mgmt/billing/operations/_billing_role_assignments_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azure/mgmt/billing/operations/_billing_role_assignments_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azure/mgmt/billing/operations/_billing_role_assignments_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
import uuid
from msrest.pipeline import ClientRawResponse
from .. import models
class BillingRoleAssignmentsOperations(object):
"""BillingRoleAssignmentsOperations operations.
You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
:ivar api_version: The version of the API to be used with the client request. The current version is 2020-05-01. Constant value: "2020-05-01".
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.api_version = "2020-05-01"
self.config = config
def get_by_billing_account(
self, billing_account_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Gets a role assignment for the caller on a billing account. The
operation is supported for billing accounts with agreement type
Microsoft Partner Agreement or Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.get_by_billing_account.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_by_billing_account.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def delete_by_billing_account(
self, billing_account_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a role assignment for the caller on a billing account. The
operation is supported for billing accounts with agreement type
Microsoft Partner Agreement or Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.delete_by_billing_account.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
delete_by_billing_account.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def get_by_invoice_section(
self, billing_account_name, billing_profile_name, invoice_section_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Gets a role assignment for the caller on an invoice section. The
operation is supported for billing accounts with agreement type
Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param invoice_section_name: The ID that uniquely identifies an
invoice section.
:type invoice_section_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.get_by_invoice_section.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str'),
'invoiceSectionName': self._serialize.url("invoice_section_name", invoice_section_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_by_invoice_section.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/invoiceSections/{invoiceSectionName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def delete_by_invoice_section(
self, billing_account_name, billing_profile_name, invoice_section_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a role assignment for the caller on an invoice section. The
operation is supported for billing accounts with agreement type
Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param invoice_section_name: The ID that uniquely identifies an
invoice section.
:type invoice_section_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.delete_by_invoice_section.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str'),
'invoiceSectionName': self._serialize.url("invoice_section_name", invoice_section_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
delete_by_invoice_section.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/invoiceSections/{invoiceSectionName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def get_by_billing_profile(
self, billing_account_name, billing_profile_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Gets a role assignment for the caller on a billing profile. The
operation is supported for billing accounts with agreement type
Microsoft Partner Agreement or Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.get_by_billing_profile.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get_by_billing_profile.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def delete_by_billing_profile(
self, billing_account_name, billing_profile_name, billing_role_assignment_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a role assignment for the caller on a billing profile. The
operation is supported for billing accounts with agreement type
Microsoft Partner Agreement or Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param billing_role_assignment_name: The ID that uniquely identifies a
role assignment.
:type billing_role_assignment_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: BillingRoleAssignment or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.billing.models.BillingRoleAssignment or
~msrest.pipeline.ClientRawResponse
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
# Construct URL
url = self.delete_by_billing_profile.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str'),
'billingRoleAssignmentName': self._serialize.url("billing_role_assignment_name", billing_role_assignment_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('BillingRoleAssignment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
delete_by_billing_profile.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/billingRoleAssignments/{billingRoleAssignmentName}'}
def list_by_billing_account(
self, billing_account_name, custom_headers=None, raw=False, **operation_config):
"""Lists the role assignments for the caller on a billing account. The
operation is supported for billing accounts with agreement type
Microsoft Partner Agreement or Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of BillingRoleAssignment
:rtype:
~azure.mgmt.billing.models.BillingRoleAssignmentPaged[~azure.mgmt.billing.models.BillingRoleAssignment]
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
def prepare_request(next_link=None):
if not next_link:
# Construct URL
url = self.list_by_billing_account.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
return request
def internal_paging(next_link=None):
request = prepare_request(next_link)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
return response
# Deserialize response
header_dict = None
if raw:
header_dict = {}
deserialized = models.BillingRoleAssignmentPaged(internal_paging, self._deserialize.dependencies, header_dict)
return deserialized
list_by_billing_account.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingRoleAssignments'}
def list_by_invoice_section(
self, billing_account_name, billing_profile_name, invoice_section_name, custom_headers=None, raw=False, **operation_config):
"""Lists the role assignments for the caller on an invoice section. The
operation is supported for billing accounts with agreement type
Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param invoice_section_name: The ID that uniquely identifies an
invoice section.
:type invoice_section_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of BillingRoleAssignment
:rtype:
~azure.mgmt.billing.models.BillingRoleAssignmentPaged[~azure.mgmt.billing.models.BillingRoleAssignment]
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
def prepare_request(next_link=None):
if not next_link:
# Construct URL
url = self.list_by_invoice_section.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str'),
'invoiceSectionName': self._serialize.url("invoice_section_name", invoice_section_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
return request
def internal_paging(next_link=None):
request = prepare_request(next_link)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
return response
# Deserialize response
header_dict = None
if raw:
header_dict = {}
deserialized = models.BillingRoleAssignmentPaged(internal_paging, self._deserialize.dependencies, header_dict)
return deserialized
list_by_invoice_section.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/invoiceSections/{invoiceSectionName}/billingRoleAssignments'}
def list_by_billing_profile(
self, billing_account_name, billing_profile_name, custom_headers=None, raw=False, **operation_config):
"""Lists the role assignments for the caller on a billing profile. The
operation is supported for billing accounts with agreement type
Microsoft Customer Agreement.
:param billing_account_name: The ID that uniquely identifies a billing
account.
:type billing_account_name: str
:param billing_profile_name: The ID that uniquely identifies a billing
profile.
:type billing_profile_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of BillingRoleAssignment
:rtype:
~azure.mgmt.billing.models.BillingRoleAssignmentPaged[~azure.mgmt.billing.models.BillingRoleAssignment]
:raises:
:class:`ErrorResponseException<azure.mgmt.billing.models.ErrorResponseException>`
"""
def prepare_request(next_link=None):
if not next_link:
# Construct URL
url = self.list_by_billing_profile.metadata['url']
path_format_arguments = {
'billingAccountName': self._serialize.url("billing_account_name", billing_account_name, 'str'),
'billingProfileName': self._serialize.url("billing_profile_name", billing_profile_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
return request
def internal_paging(next_link=None):
request = prepare_request(next_link)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
raise models.ErrorResponseException(self._deserialize, response)
return response
# Deserialize response
header_dict = None
if raw:
header_dict = {}
deserialized = models.BillingRoleAssignmentPaged(internal_paging, self._deserialize.dependencies, header_dict)
return deserialized
list_by_billing_profile.metadata = {'url': '/providers/Microsoft.Billing/billingAccounts/{billingAccountName}/billingProfiles/{billingProfileName}/billingRoleAssignments'}
| 49.460843 | 242 | 0.687717 | 3,447 | 32,842 | 6.32434 | 0.05512 | 0.042385 | 0.037156 | 0.034404 | 0.956284 | 0.955734 | 0.955183 | 0.953624 | 0.953624 | 0.953624 | 0 | 0.003119 | 0.228762 | 32,842 | 663 | 243 | 49.535445 | 0.857555 | 0.32635 | 0 | 0.827922 | 0 | 0.006494 | 0.177192 | 0.106374 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0 | 0.00974 | 0 | 0.136364 | 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 |
64ffcbc9871bb721155e640aa7a15ced8b86ff0d | 21,103 | py | Python | cave/com.raytheon.viz.gfe/python/autotest/VTEC_GHG_WCN_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/python/autotest/VTEC_GHG_WCN_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | null | null | null | cave/com.raytheon.viz.gfe/python/autotest/VTEC_GHG_WCN_TestScript.py | srcarter3/awips2 | 37f31f5e88516b9fd576eaa49d43bfb762e1d174 | [
"Apache-2.0"
] | 1 | 2021-10-30T00:03:05.000Z | 2021-10-30T00:03:05.000Z | ##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to non-U.S. persons whether in the United States or abroad requires
# an export license or other authorization.
#
# Contractor Name: Raytheon Company
# Contractor Address: 6825 Pine Street, Suite 340
# Mail Stop B8
# Omaha, NE 68106
# 402.291.0100
#
# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
# further licensing information.
##
# ----------------------------------------------------------------------------
# This software is in the public domain, furnished "as is", without technical
# support, and with no warranty, express or implied, as to its usefulness for
# any purpose.
#
# Headlines Timing
#
# Author:
# ----------------------------------------------------------------------------
scripts = [
{
"commentary": "Clear out all Hazards Table and Grids.",
"name": "WCN_0",
"productType": None,
"clearHazardsTable": 1,
"checkStrings": [],
"decodeVTEC": 0,
},
{
"commentary": "Testing midnight issuance - 3 hr event.",
"name": "WCN_1",
"drtTime": "20100101_0510",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 3, "TO.A:0111", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 111",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.NEW.KTBW.TO.A.0111.100101T0510Z-100101T0800Z/",
"The National Weather Service has issued Tornado Watch 111 in effect until 3 AM EST early this morning for the following areas",
"In Florida this watch includes 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.NEW.KTBW.TO.A.0111.100101T0510Z-100101T0800Z/",
"The National Weather Service has issued Tornado Watch 111 in effect until 3 AM EST early this morning for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing continuation.",
"name": "WCN_2",
"drtTime": "20100101_0530",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 3, "TO.A:0111", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 111",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.CON.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"Tornado Watch 111 remains valid until 3 AM EST early this morning for the following areas",
"In Florida this watch includes 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.CON.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"Tornado Watch 111 remains valid until 3 AM EST early this morning for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing expire before expire time.",
"name": "WCN_3",
"drtTime": "20100101_0745",
"productType": "Hazard_WCN_Local",
"decodeVTEC": 0,
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 3, "TO.A:0111", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 111",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.EXP.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"The National Weather Service will allow Tornado Watch 111 to expire at 3 AM EST early this morning for the following areas",
"In Florida this allows to expire 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.EXP.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"The National Weather Service will allow Tornado Watch 111 to expire at 3 AM EST early this morning for the following areas",
"This allows to expire the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing expire after expire time.",
"name": "WCN_4",
"drtTime": "20100101_0815",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 3, "TO.A:0111", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 111",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.EXP.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"The National Weather Service has allowed Tornado Watch 111 to expire for the following areas",
"In Florida this allows to expire 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.EXP.KTBW.TO.A.0111.000000T0000Z-100101T0800Z/",
"The National Weather Service has allowed Tornado Watch 111 to expire for the following areas",
"This allows to expire the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing new issuance of SV.A",
"name": "WCN_5",
"drtTime": "20100101_0900",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 7, "SV.A:0112", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 112",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.NEW.KTBW.SV.A.0112.100101T0900Z-100101T1200Z/",
"The National Weather Service has issued Severe Thunderstorm Watch 112 in effect until 7 AM EST this morning for the following areas",
"In Florida this watch includes 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.NEW.KTBW.SV.A.0112.100101T0900Z-100101T1200Z/",
"The National Weather Service has issued Severe Thunderstorm Watch 112 in effect until 7 AM EST this morning for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing cancel of SV.A",
"name": "WCN_6",
"drtTime": "20100101_1100",
"productType": "Hazard_WCN_Local",
"createGrids": [
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 112",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.CAN.KTBW.SV.A.0112.000000T0000Z-100101T1200Z/",
"The National Weather Service has cancelled Severe Thunderstorm Watch 112 for the following areas",
"In Florida this cancels 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.CAN.KTBW.SV.A.0112.000000T0000Z-100101T1200Z/",
"The National Weather Service has cancelled Severe Thunderstorm Watch 112 for the following areas",
"This cancels the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing new issuance of SV.A",
"name": "WCN_7",
"drtTime": "20100101_1205",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 12, "SV.A:0115", ["FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 115",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-",
"/E.NEW.KTBW.SV.A.0115.100101T1205Z-100101T1700Z/",
"The National Weather Service has issued Severe Thunderstorm Watch 115 in effect until noon EST today for the following areas",
"In Florida this watch includes 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.NEW.KTBW.SV.A.0115.100101T1205Z-100101T1700Z/",
"The National Weather Service has issued Severe Thunderstorm Watch 115 in effect until noon EST today for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing EXA SV.A",
"name": "WCN_8",
"drtTime": "20100101_1300",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 12, "SV.A:0115", ["FLC017","FLC053","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 115",
"National Weather Service Tampa Bay Ruskin FL",
"FLC053-",
"/E.EXA.KTBW.SV.A.0115.000000T0000Z-100101T1700Z/",
"The National Weather Service has extended Severe Thunderstorm Watch 115 to include the following areas until noon EST today",
"In Florida this watch includes 1 county",
"In west central Florida",
"Hernando",
"FLC017-",
"/E.CON.KTBW.SV.A.0115.000000T0000Z-100101T1700Z/",
"Severe Thunderstorm Watch 115 remains valid until noon EST today for the following areas",
"In Florida this watch includes 1 county",
"In west central Florida",
"Citrus",
"GMZ870-",
"/E.CON.KTBW.SV.A.0115.000000T0000Z-100101T1700Z/",
"Severe Thunderstorm Watch 115 remains valid until noon EST today for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing CON after EXA SV.A",
"name": "WCN_9",
"drtTime": "20100101_1400",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 12, "SV.A:0115", ["FLC017","FLC053","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 115",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-053-",
"/E.CON.KTBW.SV.A.0115.000000T0000Z-100101T1700Z/",
"Severe Thunderstorm Watch 115 remains valid until noon EST today for the following areas",
"In Florida this watch includes 2 counties",
"In west central Florida",
"Citrus Hernando",
"GMZ870-",
"/E.CON.KTBW.SV.A.0115.000000T0000Z-100101T1700Z/",
"Severe Thunderstorm Watch 115 remains valid until noon EST today for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing EXT, EXB after EXA SV.A",
"name": "WCN_10",
"drtTime": "20100101_1500",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 14, "SV.A:0115", ["FLC101","FLC017","FLC053","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watch 115",
"National Weather Service Tampa Bay Ruskin FL",
"FLC101-",
"/E.EXB.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"The National Weather Service has extended Severe Thunderstorm Watch 115 to include the following areas until 2 PM EST this afternoon",
"In Florida this watch includes 1 county",
"In west central Florida",
"Pasco",
"FLC017-053-",
"/E.EXT.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"Severe Thunderstorm Watch 115, previously in effect until noon EST today, is now in effect until 2 PM EST this afternoon for the following areas",
"In Florida this watch includes 2 counties",
"In west central Florida",
"Citrus Hernando",
"GMZ870-",
"/E.EXT.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"Severe Thunderstorm Watch 115, previously in effect until noon EST today, is now in effect until 2 PM EST this afternoon for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing NEW/CAN TO.A",
"name": "WCN_11",
"drtTime": "20100101_1700",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 14, "TO.A:0116", ["FLC101","FLC017"]),
("Fcst", "Hazards", "DISCRETE", 14, 19, "TO.A:0116", ["FLC101","FLC017"]),
("Fcst", "Hazards", "DISCRETE", 0, 14, "SV.A:0115", ["GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watches 115/116",
"National Weather Service Tampa Bay Ruskin FL",
"FLC017-101-",
"/E.CAN.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"/E.NEW.KTBW.TO.A.0116.100101T1700Z-100102T0000Z/",
"The National Weather Service has issued Tornado Watch 116 until 7 PM EST this evening which replaces a portion of Severe Thunderstorm Watch 115. The new watch is valid for the following areas",
"In Florida the new watch includes 2 counties",
"In west central Florida",
"Citrus Pasco",
"FLC053-",
"/E.CAN.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"The National Weather Service has cancelled Severe Thunderstorm Watch 115 for the following areas",
"In Florida this cancels 1 county",
"In west central Florida",
"Hernando",
"GMZ870-",
"/E.CON.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"Severe Thunderstorm Watch 115 remains valid until 2 PM EST this afternoon for the following areas",
"This watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM"
],
},
{
"commentary": "Testing before EXP/EXA TO.A",
"name": "WCN_12",
"drtTime": "20100101_1850",
"decodeVTEC": 0, #don't decode the VTEC this time
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 0, 14, "TO.A:0116", ["FLC101","FLC017"]),
("Fcst", "Hazards", "DISCRETE", 14, 19, "TO.A:0116", ["FLC101","FLC017","GMZ870"]),
("Fcst", "Hazards", "DISCRETE", 0, 14, "SV.A:0115", ["GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watches 115/116",
"National Weather Service Tampa Bay Ruskin FL",
"GMZ870-",
"/E.EXP.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"/E.EXB.KTBW.TO.A.0116.100101T1900Z-100102T0000Z/",
"The National Weather Service has issued Tornado Watch 116 until 7 PM EST this evening. Severe Thunderstorm Watch 115 will be allowed to expire. The new watch is valid for the following areas",
"The new watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM",
"FLC017-101-",
"/E.CON.KTBW.TO.A.0116.000000T0000Z-100102T0000Z/",
"Tornado Watch 116 remains valid until 7 PM EST this evening for the following areas",
"In Florida this watch includes 2 counties",
"In west central Florida",
"Citrus Pasco",
],
},
{
"commentary": "Testing after EXP/EXA TO.A",
"name": "WCN_13",
"drtTime": "20100101_1910",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
("Fcst", "Hazards", "DISCRETE", 14, 19, "TO.A:0116", ["FLC101","FLC017","GMZ870"]),
],
"checkStrings": ["EXPERIMENTAL...Watch County Notification for Watches 115/116",
"National Weather Service Tampa Bay Ruskin FL",
"GMZ870-",
"/E.EXP.KTBW.SV.A.0115.000000T0000Z-100101T1900Z/",
"/E.EXA.KTBW.TO.A.0116.000000T0000Z-100102T0000Z/",
"The National Weather Service has issued Tornado Watch 116 until 7 PM EST this evening. Severe Thunderstorm Watch 115 has expired. The new watch is valid for the following areas",
"The new watch includes the following adjacent coastal waters",
"Waters from Tarpon Springs to Suwannee River FL out 20 to 60 NM",
"FLC017-101-",
"/E.CON.KTBW.TO.A.0116.000000T0000Z-100102T0000Z/",
"Tornado Watch 116 remains valid until 7 PM EST this evening for the following areas",
"In Florida this watch includes 2 counties",
"In west central Florida",
"Citrus Pasco",
],
},
{
"commentary": "Canceling out all hazards.",
"name": "WCN_14",
"productType": "Hazard_WCN_Local",
"createGrids": [
("Fcst", "Hazards", "DISCRETE", -100, 100, "<None>", "all"),
],
"checkStrings": [],
"decodeVTEC": 0,
},
{
"commentary": "Deleting hazard grids.",
"name": "WCN_15",
"productType": "Hazard_WCN_Local",
"clearHazardsTable": 1,
"checkStrings": [],
"decodeVTEC":0,
},
]
import TestScript
def testScript(self, dataMgr):
defaults = {
"database": "<site>_GRID__Fcst_00000000_0000",
"publishGrids": 0,
"decodeVTEC": 1,
"gridsStartTime": "20100101_0500",
"orderStrings": 1,
"vtecMode": "E",
"cmdLineVars": "{('Issued By', 'issuedBy'): None}",
"deleteGrids": [("Fcst", "Hazards", "SFC", "all", "all")],
}
return TestScript.generalTestScript(self, dataMgr, scripts, defaults)
| 48.512644 | 215 | 0.545704 | 2,239 | 21,103 | 5.114337 | 0.127736 | 0.044014 | 0.059558 | 0.047157 | 0.839665 | 0.825954 | 0.812505 | 0.810672 | 0.805781 | 0.796 | 0 | 0.116213 | 0.33128 | 21,103 | 434 | 216 | 48.624424 | 0.695224 | 0.051557 | 0 | 0.703704 | 0 | 0.031746 | 0.609815 | 0.078468 | 0 | 0 | 0 | 0 | 0 | 1 | 0.002646 | false | 0 | 0.002646 | 0 | 0.007937 | 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 |
56d3f2f0402425455db8ae84e04168f5ca4df21c | 191 | py | Python | bentoml/pycaret.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 1 | 2021-06-12T17:04:07.000Z | 2021-06-12T17:04:07.000Z | bentoml/pycaret.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 4 | 2021-05-16T08:06:25.000Z | 2021-11-13T08:46:36.000Z | bentoml/pycaret.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | null | null | null | from ._internal.frameworks.pycaret import load
from ._internal.frameworks.pycaret import save
from ._internal.frameworks.pycaret import load_runner
__all__ = ["load", "load_runner", "save"]
| 31.833333 | 53 | 0.801047 | 24 | 191 | 6 | 0.375 | 0.25 | 0.458333 | 0.604167 | 0.784722 | 0.541667 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094241 | 191 | 5 | 54 | 38.2 | 0.83237 | 0 | 0 | 0 | 0 | 0 | 0.099476 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
56d8730b6e1f7bac6928b314d33a0b7c76034ef1 | 6,325 | py | Python | tests/server/test_article_pages.py | WGierke/weightlifting_germany_server | 2477ce6d7c6a19dfe7b79728ddcb1b6f6ccf5756 | [
"Apache-2.0"
] | 1 | 2016-09-08T13:19:32.000Z | 2016-09-08T13:19:32.000Z | tests/server/test_article_pages.py | WGierke/weightlifting_germany_server | 2477ce6d7c6a19dfe7b79728ddcb1b6f6ccf5756 | [
"Apache-2.0"
] | 1 | 2016-09-05T08:42:07.000Z | 2017-10-12T08:12:06.000Z | tests/server/test_article_pages.py | WGierke/weightlifting_germany_server | 2477ce6d7c6a19dfe7b79728ddcb1b6f6ccf5756 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
from test_main_server import ServerTestCase
import json
import time
import datetime
class ArticleTestCase(ServerTestCase):
def test_adding_articles(self):
url = "http://gewichtheben.blauweiss65-schwedt.de/?page_id=6858&paged=1"
date = "1456182000"
heading = "My Article Ä"
content = "My Content Ä"
publisher = "My Publisher"
response = self.get_authenticated("/get_articles?publisher=" + publisher)
self.assertEqual(response.normal_body, '{"result": []}')
params = {"url": url, "date": date, "heading": heading, "content": content, "publisher": publisher}
response = self.post_authenticated("/add_article", params=params)
self.assertEqual(response.normal_body, 'Added article successfully')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["url"], url)
response = self.post_authenticated("/add_article", params=params)
self.assertEqual(response.normal_body, 'This article is already saved')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["url"], url)
params = {"url": url + "_2", "date": date, "heading": heading, "content": content, "publisher": publisher}
response = self.post_authenticated("/add_article", params=params)
self.assertEqual(response.normal_body, 'Added article successfully')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 2)
self.assertEqual(result[0]["url"], url)
self.assertEqual(result[1]["url"], url + "_2")
def test_deleting_articles(self):
url = "http://gewichtheben.blauweiss65-schwedt.de/?page_id=6858&paged=1"
date = "1456182000"
heading = "My Article Ä"
content = "My Content Ä"
publisher = "My Publisher"
response = self.get_authenticated("/get_articles?publisher=" + publisher)
self.assertEqual(response.normal_body, '{"result": []}')
params = {"url": url, "date": date, "heading": heading, "content": content, "publisher": publisher}
response = self.post_authenticated("/add_article", params=params)
params["url"] = url + "_2"
response = self.post_authenticated("/add_article", params=params)
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 2)
self.assertEqual(result[0]["url"], url)
self.assertEqual(result[1]["url"], url + "_2")
response = self.post_authenticated("/delete_article", params={"url": url})
self.assertEqual(response.normal_body, 'Deleted article successfully')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["url"], url + "_2")
response = self.post_authenticated("/delete_article", params={"url": url})
self.assertEqual(response.normal_body, 'No article found')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["url"], url + "_2")
response = self.post_authenticated("/delete_article", params={"url": url + "_2"})
self.assertEqual(response.normal_body, 'Deleted article successfully')
response = self.get_authenticated("/get_articles?publisher=" + publisher)
result = json.loads(response.normal_body)["result"]
self.assertEqual(len(result), 0)
def test_article_exists(self):
response = self.get_authenticated("/get_articles")
self.assertEqual(response.normal_body, '{"result": []}')
url = "http://gewichtheben.blauweiss65-schwedt.de/?page_id=6858&paged=1"
date = "1456182000"
heading = "My Article Ä"
content = "My Content Ä"
publisher = "My Publisher"
image = "My Image"
params = {"url": url, "date": date, "heading": heading, "content": content, "publisher": publisher, "image": image}
response = self.post_authenticated("/article_exists", params=params)
self.assertEqual(response.normal_body, "No")
response = self.post_authenticated("/add_article", params=params)
response = self.post_authenticated("/article_exists", params=params)
self.assertEqual(response.normal_body, "Yes")
response = self.post_authenticated("/delete_article", params=params)
response = self.post_authenticated("/article_exists", params=params)
self.assertEqual(response.normal_body, "No")
def test_article_getting(self):
response = self.get_authenticated("/get_articles")
self.assertEqual(response.normal_body, '{"result": []}')
url = "http://gewichtheben.blauweiss65-schwedt.de/?page_id=6858&paged=1"
date = str(time.mktime(datetime.date(2016, 6, 24).timetuple()))
heading = "My Article Ä"
content = "My Content Ä"
publisher = "My Publisher"
image = "My image"
params = {"url": url, "date": date, "heading": heading, "content": content, "publisher": publisher, "image": image}
response = self.post_authenticated("/add_article", params=params)
response = self.get_authenticated("/get_article", params={"url": url})
result = json.loads(response.normal_body)["result"]
self.assertEqual(result["url"], url)
self.assertEqual(result["date"], date)
self.assertEqual(result["heading"], heading.decode("utf-8"))
self.assertEqual(result["content"], content.decode("utf-8"))
self.assertEqual(result["publisher"], publisher.decode("utf-8"))
self.assertEqual(result["image"], image.decode("utf-8"))
| 49.414063 | 123 | 0.657866 | 701 | 6,325 | 5.801712 | 0.108417 | 0.1254 | 0.092943 | 0.099828 | 0.896976 | 0.890337 | 0.866978 | 0.856651 | 0.856651 | 0.843373 | 0 | 0.018043 | 0.193834 | 6,325 | 127 | 124 | 49.80315 | 0.779565 | 0.006008 | 0 | 0.742857 | 0 | 0 | 0.226094 | 0.034368 | 0 | 0 | 0 | 0 | 0.32381 | 1 | 0.038095 | false | 0 | 0.038095 | 0 | 0.085714 | 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 |
713c22a447398eb999418088fad79385d9b8c871 | 114 | py | Python | pc4store/config.py | pc4store/pc4store-py | 9bdab83ffb47c43da367018ed695d860340ba6a8 | [
"MIT"
] | 1 | 2021-04-09T18:37:17.000Z | 2021-04-09T18:37:17.000Z | pc4store/config.py | pc4store/pc4store-py | 9bdab83ffb47c43da367018ed695d860340ba6a8 | [
"MIT"
] | null | null | null | pc4store/config.py | pc4store/pc4store-py | 9bdab83ffb47c43da367018ed695d860340ba6a8 | [
"MIT"
] | null | null | null | HOST = 'https://api.pc4.store/v1'
PUBLIC_KEY = '69f72437e2e359a3e5c29fe9a7e0d509345cc57b7bfca0b470598d679a349806'
| 38 | 79 | 0.842105 | 9 | 114 | 10.555556 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.416667 | 0.052632 | 114 | 2 | 80 | 57 | 0.462963 | 0 | 0 | 0 | 0 | 0 | 0.77193 | 0.561404 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
85a51fcff592509f6b4b321bbf1dc2f7a10d7d70 | 4,864 | py | Python | attribution/solver.py | chihkuanyeh/JBShap | 60a2c8095e7b3328d877bef57a90480a9a1f6c80 | [
"MIT"
] | null | null | null | attribution/solver.py | chihkuanyeh/JBShap | 60a2c8095e7b3328d877bef57a90480a9a1f6c80 | [
"MIT"
] | null | null | null | attribution/solver.py | chihkuanyeh/JBShap | 60a2c8095e7b3328d877bef57a90480a9a1f6c80 | [
"MIT"
] | null | null | null | import numpy as np
class Solver():
def __init__(self, model, batch_size):
self.model = model
self.batch_size = batch_size
def generate_forward_owen(self, explicand, baseline, players, paths, mask=True, ret_cfs=False, total =False):
ret = []
all_cfs = []
shape = explicand.shape
batched_shape = list(shape)
remaining_batch_size = (len(players) + 1) * len(paths)
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
total_count =0
for i, path in enumerate(paths):
cfs[count] = baseline[0]
prev = cfs[count]
count += 1
total_count+=1
if count == self.batch_size or count == remaining_batch_size:
if ret_cfs:
all_cfs.append(cfs)
ret.append(self.model(cfs).numpy())
remaining_batch_size -= count
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
for j, player in enumerate(players):
if mask:
cfs[count] = prev * (
1 - players[paths[i][j]]) + explicand[0] * players[paths[i][j]]
else:
x = players[paths[i][j]][0]
y = players[paths[i][j]][1]
cfs[count] = prev
cfs[count, x, y, :] = explicand[0, x, y, :]
#prev = cfs[count]
count += 1
total_count+=1
if count == self.batch_size or count == remaining_batch_size:
if ret_cfs:
all_cfs.append(cfs)
ret.append(self.modfel(cfs).numpy())
remaining_batch_size -= count
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
if total:
if ret_cfs:
return np.concatenate(ret), np.concatenate(all_cfs), total_count
else:
return np.concatenate(ret), total_count
if ret_cfs:
return np.concatenate(ret), np.concatenate(all_cfs)
return np.concatenate(ret)
def generate_forward(self, explicand, baseline, players, paths, mask=True, ret_cfs=False, total =False):
ret = []
all_cfs = []
shape = explicand.shape
batched_shape = list(shape)
remaining_batch_size = (len(players) + 1) * len(paths)
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
total_count =0
for i, path in enumerate(paths):
cfs[count] = baseline[0]
prev = cfs[count]
count += 1
total_count+=1
if count == self.batch_size or count == remaining_batch_size:
if ret_cfs:
all_cfs.append(cfs)
ret.append(self.model(cfs).numpy())
remaining_batch_size -= count
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
for j, player in enumerate(players):
if mask:
cfs[count] = prev * (
1 - players[paths[i][j]]) + explicand[0] * players[paths[i][j]]
else:
x = players[paths[i][j]][0]
y = players[paths[i][j]][1]
cfs[count] = prev
cfs[count, x, y, :] = explicand[0, x, y, :]
prev = cfs[count]
count += 1
total_count+=1
if count == self.batch_size or count == remaining_batch_size:
if ret_cfs:
all_cfs.append(cfs)
ret.append(self.model(cfs).numpy())
remaining_batch_size -= count
batched_shape[0] = min(self.batch_size, remaining_batch_size)
cfs = np.zeros(batched_shape)
count = 0
if total:
if ret_cfs:
return np.concatenate(ret), np.concatenate(all_cfs), total_count
else:
return np.concatenate(ret), total_count
if ret_cfs:
return np.concatenate(ret), np.concatenate(all_cfs)
return np.concatenate(ret)
def solve(self, scores, paths, average=False): # output 2d array
num_paths = len(paths)
num_players = len(paths[0])
ret = np.zeros((num_paths, num_players))
order = np.zeros((num_paths,num_players))
for i in range(num_paths):
for j in range(num_players):
order[i][j] += scores[i*(num_players+1)+j+1] - (
scores[i*(num_players+1)+j])
ret[i][paths[i][j]] = scores[i*(num_players+1)+j+1] - (
scores[i*(num_players+1)+j])
if average:
ret = np.mean(ret, axis=0)
return ret, order
def solve_owen(self, scores, paths, average=False): # output 2d array
num_paths = len(paths)
num_players = len(paths[0])
ret = np.zeros((num_paths, num_players))
for i in range(num_paths):
for j in range(num_players):
ret[i][paths[i][j]] = scores[i*(num_players+1)+j+1] - (
scores[i*(num_players+1)])
if average:
ret = np.mean(ret, axis=0)
return ret
| 31.584416 | 111 | 0.594367 | 677 | 4,864 | 4.097489 | 0.094535 | 0.094088 | 0.103821 | 0.040375 | 0.941601 | 0.941601 | 0.941601 | 0.941601 | 0.941601 | 0.941601 | 0 | 0.014534 | 0.278577 | 4,864 | 153 | 112 | 31.79085 | 0.776005 | 0.010074 | 0 | 0.885496 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038168 | false | 0 | 0.007634 | 0 | 0.129771 | 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 |
85b4117ae6570bbed70e3729e70ff60e6f9b7874 | 18,406 | py | Python | sdk/python/pulumi_databricks/databricks/pipeline.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-12-10T07:35:59.000Z | 2022-03-23T22:53:55.000Z | sdk/python/pulumi_databricks/databricks/pipeline.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_databricks/databricks/pipeline.py | ingenii-solutions/pulumi-databricks | f03ecc4e190a4e59eb635663f6408350dcab42ea | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # 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
from . import outputs
from ._inputs import *
__all__ = ['PipelineArgs', 'Pipeline']
@pulumi.input_type
class PipelineArgs:
def __init__(__self__, *,
filters: pulumi.Input['PipelineFiltersArgs'],
allow_duplicate_names: Optional[pulumi.Input[bool]] = None,
clusters: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]] = None,
configuration: Optional[pulumi.Input[Mapping[str, Any]]] = None,
continuous: Optional[pulumi.Input[bool]] = None,
id: Optional[pulumi.Input[str]] = None,
libraries: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
storage: Optional[pulumi.Input[str]] = None,
target: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Pipeline resource.
"""
pulumi.set(__self__, "filters", filters)
if allow_duplicate_names is not None:
pulumi.set(__self__, "allow_duplicate_names", allow_duplicate_names)
if clusters is not None:
pulumi.set(__self__, "clusters", clusters)
if configuration is not None:
pulumi.set(__self__, "configuration", configuration)
if continuous is not None:
pulumi.set(__self__, "continuous", continuous)
if id is not None:
pulumi.set(__self__, "id", id)
if libraries is not None:
pulumi.set(__self__, "libraries", libraries)
if name is not None:
pulumi.set(__self__, "name", name)
if storage is not None:
pulumi.set(__self__, "storage", storage)
if target is not None:
pulumi.set(__self__, "target", target)
@property
@pulumi.getter
def filters(self) -> pulumi.Input['PipelineFiltersArgs']:
return pulumi.get(self, "filters")
@filters.setter
def filters(self, value: pulumi.Input['PipelineFiltersArgs']):
pulumi.set(self, "filters", value)
@property
@pulumi.getter(name="allowDuplicateNames")
def allow_duplicate_names(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "allow_duplicate_names")
@allow_duplicate_names.setter
def allow_duplicate_names(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "allow_duplicate_names", value)
@property
@pulumi.getter
def clusters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]]:
return pulumi.get(self, "clusters")
@clusters.setter
def clusters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]]):
pulumi.set(self, "clusters", value)
@property
@pulumi.getter
def configuration(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
return pulumi.get(self, "configuration")
@configuration.setter
def configuration(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "configuration", value)
@property
@pulumi.getter
def continuous(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "continuous")
@continuous.setter
def continuous(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "continuous", value)
@property
@pulumi.getter
def id(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "id")
@id.setter
def id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "id", value)
@property
@pulumi.getter
def libraries(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]]:
return pulumi.get(self, "libraries")
@libraries.setter
def libraries(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]]):
pulumi.set(self, "libraries", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def storage(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "storage")
@storage.setter
def storage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "storage", value)
@property
@pulumi.getter
def target(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "target")
@target.setter
def target(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "target", value)
@pulumi.input_type
class _PipelineState:
def __init__(__self__, *,
allow_duplicate_names: Optional[pulumi.Input[bool]] = None,
clusters: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]] = None,
configuration: Optional[pulumi.Input[Mapping[str, Any]]] = None,
continuous: Optional[pulumi.Input[bool]] = None,
filters: Optional[pulumi.Input['PipelineFiltersArgs']] = None,
id: Optional[pulumi.Input[str]] = None,
libraries: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
storage: Optional[pulumi.Input[str]] = None,
target: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Pipeline resources.
"""
if allow_duplicate_names is not None:
pulumi.set(__self__, "allow_duplicate_names", allow_duplicate_names)
if clusters is not None:
pulumi.set(__self__, "clusters", clusters)
if configuration is not None:
pulumi.set(__self__, "configuration", configuration)
if continuous is not None:
pulumi.set(__self__, "continuous", continuous)
if filters is not None:
pulumi.set(__self__, "filters", filters)
if id is not None:
pulumi.set(__self__, "id", id)
if libraries is not None:
pulumi.set(__self__, "libraries", libraries)
if name is not None:
pulumi.set(__self__, "name", name)
if storage is not None:
pulumi.set(__self__, "storage", storage)
if target is not None:
pulumi.set(__self__, "target", target)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter(name="allowDuplicateNames")
def allow_duplicate_names(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "allow_duplicate_names")
@allow_duplicate_names.setter
def allow_duplicate_names(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "allow_duplicate_names", value)
@property
@pulumi.getter
def clusters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]]:
return pulumi.get(self, "clusters")
@clusters.setter
def clusters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineClusterArgs']]]]):
pulumi.set(self, "clusters", value)
@property
@pulumi.getter
def configuration(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
return pulumi.get(self, "configuration")
@configuration.setter
def configuration(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "configuration", value)
@property
@pulumi.getter
def continuous(self) -> Optional[pulumi.Input[bool]]:
return pulumi.get(self, "continuous")
@continuous.setter
def continuous(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "continuous", value)
@property
@pulumi.getter
def filters(self) -> Optional[pulumi.Input['PipelineFiltersArgs']]:
return pulumi.get(self, "filters")
@filters.setter
def filters(self, value: Optional[pulumi.Input['PipelineFiltersArgs']]):
pulumi.set(self, "filters", value)
@property
@pulumi.getter
def id(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "id")
@id.setter
def id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "id", value)
@property
@pulumi.getter
def libraries(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]]:
return pulumi.get(self, "libraries")
@libraries.setter
def libraries(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['PipelineLibraryArgs']]]]):
pulumi.set(self, "libraries", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def storage(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "storage")
@storage.setter
def storage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "storage", value)
@property
@pulumi.getter
def target(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "target")
@target.setter
def target(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "target", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
class Pipeline(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
allow_duplicate_names: Optional[pulumi.Input[bool]] = None,
clusters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineClusterArgs']]]]] = None,
configuration: Optional[pulumi.Input[Mapping[str, Any]]] = None,
continuous: Optional[pulumi.Input[bool]] = None,
filters: Optional[pulumi.Input[pulumi.InputType['PipelineFiltersArgs']]] = None,
id: Optional[pulumi.Input[str]] = None,
libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineLibraryArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
storage: Optional[pulumi.Input[str]] = None,
target: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Create a Pipeline resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: PipelineArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Create a Pipeline resource with the given unique name, props, and options.
:param str resource_name: The name of the resource.
:param PipelineArgs 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(PipelineArgs, 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,
allow_duplicate_names: Optional[pulumi.Input[bool]] = None,
clusters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineClusterArgs']]]]] = None,
configuration: Optional[pulumi.Input[Mapping[str, Any]]] = None,
continuous: Optional[pulumi.Input[bool]] = None,
filters: Optional[pulumi.Input[pulumi.InputType['PipelineFiltersArgs']]] = None,
id: Optional[pulumi.Input[str]] = None,
libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineLibraryArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
storage: Optional[pulumi.Input[str]] = None,
target: 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__ = PipelineArgs.__new__(PipelineArgs)
__props__.__dict__["allow_duplicate_names"] = allow_duplicate_names
__props__.__dict__["clusters"] = clusters
__props__.__dict__["configuration"] = configuration
__props__.__dict__["continuous"] = continuous
if filters is None and not opts.urn:
raise TypeError("Missing required property 'filters'")
__props__.__dict__["filters"] = filters
__props__.__dict__["id"] = id
__props__.__dict__["libraries"] = libraries
__props__.__dict__["name"] = name
__props__.__dict__["storage"] = storage
__props__.__dict__["target"] = target
__props__.__dict__["url"] = None
super(Pipeline, __self__).__init__(
'databricks:databricks/pipeline:Pipeline',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
allow_duplicate_names: Optional[pulumi.Input[bool]] = None,
clusters: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineClusterArgs']]]]] = None,
configuration: Optional[pulumi.Input[Mapping[str, Any]]] = None,
continuous: Optional[pulumi.Input[bool]] = None,
filters: Optional[pulumi.Input[pulumi.InputType['PipelineFiltersArgs']]] = None,
libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['PipelineLibraryArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
storage: Optional[pulumi.Input[str]] = None,
target: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None) -> 'Pipeline':
"""
Get an existing Pipeline 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.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _PipelineState.__new__(_PipelineState)
__props__.__dict__["allow_duplicate_names"] = allow_duplicate_names
__props__.__dict__["clusters"] = clusters
__props__.__dict__["configuration"] = configuration
__props__.__dict__["continuous"] = continuous
__props__.__dict__["filters"] = filters
__props__.__dict__["id"] = id
__props__.__dict__["libraries"] = libraries
__props__.__dict__["name"] = name
__props__.__dict__["storage"] = storage
__props__.__dict__["target"] = target
__props__.__dict__["url"] = url
return Pipeline(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="allowDuplicateNames")
def allow_duplicate_names(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "allow_duplicate_names")
@property
@pulumi.getter
def clusters(self) -> pulumi.Output[Optional[Sequence['outputs.PipelineCluster']]]:
return pulumi.get(self, "clusters")
@property
@pulumi.getter
def configuration(self) -> pulumi.Output[Optional[Mapping[str, Any]]]:
return pulumi.get(self, "configuration")
@property
@pulumi.getter
def continuous(self) -> pulumi.Output[Optional[bool]]:
return pulumi.get(self, "continuous")
@property
@pulumi.getter
def filters(self) -> pulumi.Output['outputs.PipelineFilters']:
return pulumi.get(self, "filters")
@property
@pulumi.getter
def id(self) -> pulumi.Output[str]:
return pulumi.get(self, "id")
@property
@pulumi.getter
def libraries(self) -> pulumi.Output[Optional[Sequence['outputs.PipelineLibrary']]]:
return pulumi.get(self, "libraries")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
return pulumi.get(self, "name")
@property
@pulumi.getter
def storage(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "storage")
@property
@pulumi.getter
def target(self) -> pulumi.Output[Optional[str]]:
return pulumi.get(self, "target")
@property
@pulumi.getter
def url(self) -> pulumi.Output[str]:
return pulumi.get(self, "url")
| 39.926247 | 134 | 0.636151 | 1,981 | 18,406 | 5.678445 | 0.0737 | 0.112454 | 0.152014 | 0.076273 | 0.839719 | 0.820251 | 0.775091 | 0.76149 | 0.73251 | 0.708419 | 0 | 0.000072 | 0.241878 | 18,406 | 460 | 135 | 40.013043 | 0.806077 | 0.060252 | 0 | 0.803279 | 1 | 0 | 0.099322 | 0.017362 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163934 | false | 0.002732 | 0.019126 | 0.087432 | 0.281421 | 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 |
a40eeeab3b68ba7790a3fa9eb70554c70bb7b19d | 2,565 | py | Python | speaker_output.py | Sallyke/LIAM | db6fba4e9102b6f18fa63bd3a419b5e3708da021 | [
"MIT"
] | 11 | 2021-07-09T13:50:52.000Z | 2022-02-16T05:27:53.000Z | speaker_output.py | Sallyke/LIAM | db6fba4e9102b6f18fa63bd3a419b5e3708da021 | [
"MIT"
] | 3 | 2021-11-22T02:36:50.000Z | 2022-01-28T03:42:14.000Z | speaker_output.py | uoe-agents/LIAM | db6fba4e9102b6f18fa63bd3a419b5e3708da021 | [
"MIT"
] | 3 | 2021-07-01T12:29:53.000Z | 2022-03-17T16:02:03.000Z | import torch
def speaker_output(agent_id, input):
values, color = input[0].max(0)
color = int(color.data)
if agent_id == 1:
if color == 0:
return torch.Tensor([[1, 0, 0, 0, 0]])
if color == 1:
return torch.Tensor([[0, 1, 0, 0, 0]])
if color == 2:
return torch.Tensor([[0, 0, 1, 0, 0]])
if agent_id == 2:
if color == 0:
return torch.Tensor([[0, 1, 0, 0, 0]])
if color == 1:
return torch.Tensor([[0, 0, 1, 0, 0]])
if color == 2:
return torch.Tensor([[0, 0, 0, 1, 0]])
if agent_id == 3:
if color == 0:
return torch.Tensor([[0, 1, 0, 0, 0]])
if color == 1:
return torch.Tensor([[1, 0, 0, 0, 0]])
if color == 2:
return torch.Tensor([[0, 0, 0, 1, 0]])
if agent_id == 4:
if color == 0:
return torch.Tensor([[0, 0, 0, 1, 0]])
if color == 1:
return torch.Tensor([[1, 0, 0, 0, 0]])
if color == 2:
return torch.Tensor([[0, 0, 0, 0, 1]])
if agent_id == 5:
if color == 0:
return torch.Tensor([[1, 0, 0, 0, 0]])
if color == 1:
return torch.Tensor([[0, 0, 1, 0, 0]])
if color == 2:
return torch.Tensor([[0, 0, 0, 0, 1]])
if agent_id == 6:
if color == 0:
return torch.Tensor([[0, 0, 0, 0, 1]])
if color == 1:
return torch.Tensor([[0, 0, 0, 1, 0]])
if color == 2:
return torch.Tensor([[0, 0, 1, 0, 0]])
if agent_id == 7:
if color == 0:
return torch.Tensor([[0, 0, 0, 1, 0]])
if color == 1:
return torch.Tensor([[0, 0, 1, 0, 0]])
if color == 2:
return torch.Tensor([[0, 1, 0, 0, 0]])
if agent_id == 8:
if color == 0:
return torch.Tensor([[0, 0, 1, 0, 0]])
if color == 1:
return torch.Tensor([[0, 0, 0, 0, 1]])
if color == 2:
return torch.Tensor([[1, 0, 0, 0, 0]])
if agent_id == 9:
if color == 0:
return torch.Tensor([[0, 0, 0, 1, 0]])
if color == 1:
return torch.Tensor([[0, 0, 0, 0, 1]])
if color == 2:
return torch.Tensor([[0, 1, 0, 0, 0]])
if agent_id == 10:
if color == 0:
return torch.Tensor([[0, 0, 1, 0, 0]])
if color == 1:
return torch.Tensor([[0, 1, 0, 0, 0]])
if color == 2:
return torch.Tensor([[1, 0, 0, 0, 0]])
| 30.176471 | 50 | 0.424951 | 388 | 2,565 | 2.778351 | 0.069588 | 0.131725 | 0.09462 | 0.400742 | 0.910019 | 0.910019 | 0.903525 | 0.903525 | 0.903525 | 0.893321 | 0 | 0.124116 | 0.393762 | 2,565 | 84 | 51 | 30.535714 | 0.569132 | 0 | 0 | 0.810811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0 | 0.013514 | 0 | 0.432432 | 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 |
a45552c2e630cfdf9bde43b14905d9ba1f0c3df8 | 1,822 | py | Python | mysql_config/WebMonitoring/generators/website/tests/test_website_generate_samples_queries.py | raresraf/rafMetrics | 21eb5e8210364bf70eee746d71c45f3e353dcb10 | [
"MIT"
] | 15 | 2019-11-03T18:01:27.000Z | 2021-05-05T20:54:57.000Z | mysql_config/WebMonitoring/generators/website/tests/test_website_generate_samples_queries.py | raresraf/rafMetrics | 21eb5e8210364bf70eee746d71c45f3e353dcb10 | [
"MIT"
] | 392 | 2019-11-09T21:28:01.000Z | 2022-03-31T13:04:45.000Z | mysql_config/WebMonitoring/generators/website/tests/test_website_generate_samples_queries.py | raresraf/rafMetrics | 21eb5e8210364bf70eee746d71c45f3e353dcb10 | [
"MIT"
] | 1 | 2021-03-11T18:35:16.000Z | 2021-03-11T18:35:16.000Z | from mysql_config.WebMonitoring.generators.website.tests.website_expected_size import (
EXPECTED_DAILY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE,
EXPECTED_WEEKLY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE,
EXPECTED_MONTHLY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE,
)
from mysql_config.WebMonitoring.generators.website.tests.website_expected_time import (
EXPECTED_DAILY_WEBSITE_GENERATE_SAMPLES_QUERIES,
EXPECTED_WEEKLY_WEBSITE_GENERATE_SAMPLES_QUERIES,
EXPECTED_MONTHLY_WEBSITE_GENERATE_SAMPLES_QUERIES,
)
from mysql_config.WebMonitoring.generators.website.website_generate_samples_queries import (
website_generate_samples_queries, )
from mysql_config.WebMonitoring.generators.website.website_generate_samples_queries_size import (
website_generate_samples_queries_size, )
def test_website_generate_samples_queries(capfd):
website_generate_samples_queries("daily")
out, _ = capfd.readouterr()
assert out == EXPECTED_DAILY_WEBSITE_GENERATE_SAMPLES_QUERIES
website_generate_samples_queries("weekly")
out, err = capfd.readouterr()
assert out == EXPECTED_WEEKLY_WEBSITE_GENERATE_SAMPLES_QUERIES
website_generate_samples_queries("monthly")
out, err = capfd.readouterr()
assert out == EXPECTED_MONTHLY_WEBSITE_GENERATE_SAMPLES_QUERIES
def test_website_generate_samples_queries_size(capfd):
website_generate_samples_queries_size("daily")
out, _ = capfd.readouterr()
assert out == EXPECTED_DAILY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE
website_generate_samples_queries_size("weekly")
out, err = capfd.readouterr()
assert out == EXPECTED_WEEKLY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE
website_generate_samples_queries_size("monthly")
out, err = capfd.readouterr()
assert out == EXPECTED_MONTHLY_WEBSITE_GENERATE_SAMPLES_QUERIES_SIZE
| 42.372093 | 97 | 0.83315 | 214 | 1,822 | 6.53271 | 0.11215 | 0.257511 | 0.377682 | 0.497854 | 0.994278 | 0.904864 | 0.811874 | 0.669528 | 0.62804 | 0.53505 | 0 | 0 | 0.108672 | 1,822 | 42 | 98 | 43.380952 | 0.860837 | 0 | 0 | 0.176471 | 1 | 0 | 0.019759 | 0 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.058824 | false | 0 | 0.117647 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f10e314284bac198a51a793d0961c97b7aff9175 | 81 | py | Python | src/sensationdriver/platform.py | sebastianludwig/SensationDriver | 8787afa8fb55a43af69d83192a4f09a4279b5c00 | [
"MIT"
] | null | null | null | src/sensationdriver/platform.py | sebastianludwig/SensationDriver | 8787afa8fb55a43af69d83192a4f09a4279b5c00 | [
"MIT"
] | null | null | null | src/sensationdriver/platform.py | sebastianludwig/SensationDriver | 8787afa8fb55a43af69d83192a4f09a4279b5c00 | [
"MIT"
] | null | null | null | import os
def is_raspberry():
return os.popen('uname').read() == 'Linux\n'
| 13.5 | 48 | 0.62963 | 12 | 81 | 4.166667 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17284 | 81 | 5 | 49 | 16.2 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
f11c60853cfc979266d8020d350309a1addc6d06 | 7,978 | py | Python | tests/test_routing.py | gocept/alphaflow | 4b797cb12fb52254b1884159fd9a8b899c739f7c | [
"ZPL-2.1",
"ZPL-2.0"
] | null | null | null | tests/test_routing.py | gocept/alphaflow | 4b797cb12fb52254b1884159fd9a8b899c739f7c | [
"ZPL-2.1",
"ZPL-2.0"
] | null | null | null | tests/test_routing.py | gocept/alphaflow | 4b797cb12fb52254b1884159fd9a8b899c739f7c | [
"ZPL-2.1",
"ZPL-2.0"
] | 1 | 2021-11-01T07:58:18.000Z | 2021-11-01T07:58:18.000Z | # Copyright (c) 2004-2006 gocept gmbh & co. kg
# See also LICENSE.txt
# $Id$
import unittest
from Products.Archetypes.tests.utils import *
from Products.Archetypes.tests.common import *
from Products.CMFCore.utils import getToolByName
from Products.AlphaFlow.tests.AlphaFlowTestCase import AlphaFlowTestCase
from Products.AlphaFlow.activities.routing import RouteWorkItem, RouteActivity
from Products.AlphaFlow.activities.interfaces import \
IRouteWorkItem, IRouteActivity, ILifeCycleController
class RouteTest(AlphaFlowTestCase):
interfaces_to_test = [
(IRouteWorkItem, RouteWorkItem),
(IRouteActivity, RouteActivity)
]
def test_definition(self):
# Creates a simple workflow
portal = self.portal
self._create_test_users()
self.loginAsPortalOwner()
self._import_wf('workflows/routing_example.alf')
wftool = getToolByName(portal, 'workflow_manager')
# Create object for instanciation of this process
portal.createObject("testdocument", "DummyContent")
# Initialize the process
doc = portal.testdocument
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
# Do the same process but reject this time
self.loginAsPortalOwner()
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].reject()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
def test_routing_with_decision(self):
portal = self.portal
self._create_test_users()
self.loginAsPortalOwner()
self._import_wf('workflows/routing_simpledec.alf')
wftool = getToolByName(portal, 'workflow_manager')
# Create object for instanciation of this process
portal.createObject("testdocument", "DummyContent")
# Initialize the process
doc = portal.testdocument
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("editor1")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor3")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor2")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(ILifeCycleController(wi).state, "failed")
# Do the same process but reject this time
self.loginAsPortalOwner()
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].reject()
self.assertEquals(controller.state, "active")
self.login("editor1")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor2")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor3")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
# Do the same process but editor2 rejects this time
self.loginAsPortalOwner()
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor1")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "active")
self.login("editor2")
doc.getWorkItemsForCurrentUser()[0].reject()
self.assertEquals(controller.state, "active")
self.login("editor3")
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
def test_delayed_discriminator(self):
portal = self.portal
self._create_test_users()
self.loginAsPortalOwner()
self._import_wf('workflows/routing_delayed_discriminator.alf')
wftool = getToolByName(portal, 'workflow_manager')
# Create object for instanciation of this process
portal.createObject("testdocument", "DummyContent")
# Initialize the process
doc = portal.testdocument
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
# Do the same process but reject this time
self.loginAsPortalOwner()
doc.assignProcess(self.test_process)
process = doc.getInstance()
controller = ILifeCycleController(process)
controller.start("testing")
self.assertEquals(controller.state, "active")
self.login("author")
doc.getWorkItemsForCurrentUser()[0].reject()
self.assertEquals(controller.state, "active")
doc.getWorkItemsForCurrentUser()[0].accept()
doc.getWorkItemsForCurrentUser()[0].accept()
self.assertEquals(controller.state, "ended")
self.assertEquals(controller.completed, True)
wis = process.getWorkItems(state=None)
for wi in wis:
self.failIfEqual(wi.state, "failed")
def test_suite():
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(RouteTest))
return suite
if __name__ == '__main__':
framework()
| 33.103734 | 78 | 0.664076 | 749 | 7,978 | 7.012016 | 0.149533 | 0.091394 | 0.148515 | 0.14166 | 0.854532 | 0.854532 | 0.854532 | 0.854532 | 0.853389 | 0.852437 | 0 | 0.006656 | 0.227877 | 7,978 | 240 | 79 | 33.241667 | 0.845942 | 0.060416 | 0 | 0.843373 | 0 | 0 | 0.075401 | 0.01377 | 0 | 0 | 0 | 0 | 0.180723 | 1 | 0.024096 | false | 0 | 0.060241 | 0 | 0.10241 | 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 |
f125d54d0dfd7f15f9d8615b707760f434cfde1b | 98 | py | Python | _helper_functions/__init__.py | oxquantum/CVAE | 0352ddc51fbfd8d57b155e6de66b4c34e010beac | [
"MIT"
] | null | null | null | _helper_functions/__init__.py | oxquantum/CVAE | 0352ddc51fbfd8d57b155e6de66b4c34e010beac | [
"MIT"
] | null | null | null | _helper_functions/__init__.py | oxquantum/CVAE | 0352ddc51fbfd8d57b155e6de66b4c34e010beac | [
"MIT"
] | null | null | null | from .create_directory import create_directory
from .dict_to_namedtuple import dict_to_namedtuple
| 32.666667 | 50 | 0.897959 | 14 | 98 | 5.857143 | 0.5 | 0.365854 | 0.390244 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081633 | 98 | 2 | 51 | 49 | 0.911111 | 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 |
f175581f8a9bfa645aea08945f0cc1f1f2a1a653 | 145,101 | py | Python | pyboto3/inspector.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 91 | 2016-12-31T11:38:37.000Z | 2021-09-16T19:33:23.000Z | pyboto3/inspector.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 7 | 2017-01-02T18:54:23.000Z | 2020-08-11T13:54:02.000Z | pyboto3/inspector.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 26 | 2016-12-31T13:11:00.000Z | 2022-03-03T21:01:12.000Z | '''
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
def add_attributes_to_findings(findingArns=None, attributes=None):
"""
Assigns attributes (key and value pairs) to the findings that are specified by the ARNs of the findings.
See also: AWS API Documentation
Exceptions
Examples
Assigns attributes (key and value pairs) to the findings that are specified by the ARNs of the findings.
Expected Output:
:example: response = client.add_attributes_to_findings(
findingArns=[
'string',
],
attributes=[
{
'key': 'string',
'value': 'string'
},
]
)
:type findingArns: list
:param findingArns: [REQUIRED]\nThe ARNs that specify the findings that you want to assign attributes to.\n\n(string) --\n\n
:type attributes: list
:param attributes: [REQUIRED]\nThe array of attributes that you want to assign to specified findings.\n\n(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.\n\nkey (string) -- [REQUIRED]The attribute key.\n\nvalue (string) --The value assigned to the attribute key.\n\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
failedItems (dict) --
Attribute details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --
Includes details about the failed items.
failureCode (string) --
The status code of a failed item.
retryable (boolean) --
Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Assigns attributes (key and value pairs) to the findings that are specified by the ARNs of the findings.
response = client.add_attributes_to_findings(
attributes=[
{
'key': 'Example',
'value': 'example',
},
],
findingArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-8l1VIE0D/run/0-Z02cjjug/finding/0-T8yM9mEU',
],
)
print(response)
Expected Output:
{
'failedItems': {
},
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
"""
pass
def create_assessment_target(assessmentTargetName=None, resourceGroupArn=None):
"""
Creates a new assessment target using the ARN of the resource group that is generated by CreateResourceGroup . If resourceGroupArn is not specified, all EC2 instances in the current AWS account and region are included in the assessment target. If the service-linked role isn\xe2\x80\x99t already registered, this action also creates and registers a service-linked role to grant Amazon Inspector access to AWS Services needed to perform security assessments. You can create up to 50 assessment targets per AWS account. You can run up to 500 concurrent agents per AWS account. For more information, see Amazon Inspector Assessment Targets .
See also: AWS API Documentation
Exceptions
Examples
Creates a new assessment target using the ARN of the resource group that is generated by CreateResourceGroup. You can create up to 50 assessment targets per AWS account. You can run up to 500 concurrent agents per AWS account.
Expected Output:
:example: response = client.create_assessment_target(
assessmentTargetName='string',
resourceGroupArn='string'
)
:type assessmentTargetName: string
:param assessmentTargetName: [REQUIRED]\nThe user-defined name that identifies the assessment target that you want to create. The name must be unique within the AWS account.\n
:type resourceGroupArn: string
:param resourceGroupArn: The ARN that specifies the resource group that is used to create the assessment target. If resourceGroupArn is not specified, all EC2 instances in the current AWS account and region are included in the assessment target.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentTargetArn': 'string'
}
Response Structure
(dict) --
assessmentTargetArn (string) --
The ARN that specifies the assessment target that is created.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Creates a new assessment target using the ARN of the resource group that is generated by CreateResourceGroup. You can create up to 50 assessment targets per AWS account. You can run up to 500 concurrent agents per AWS account.
response = client.create_assessment_target(
assessmentTargetName='ExampleAssessmentTarget',
resourceGroupArn='arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-AB6DMKnv',
)
print(response)
Expected Output:
{
'assessmentTargetArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTargetArn': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def create_assessment_template(assessmentTargetArn=None, assessmentTemplateName=None, durationInSeconds=None, rulesPackageArns=None, userAttributesForFindings=None):
"""
Creates an assessment template for the assessment target that is specified by the ARN of the assessment target. If the service-linked role isn\xe2\x80\x99t already registered, this action also creates and registers a service-linked role to grant Amazon Inspector access to AWS Services needed to perform security assessments.
See also: AWS API Documentation
Exceptions
Examples
Creates an assessment template for the assessment target that is specified by the ARN of the assessment target.
Expected Output:
:example: response = client.create_assessment_template(
assessmentTargetArn='string',
assessmentTemplateName='string',
durationInSeconds=123,
rulesPackageArns=[
'string',
],
userAttributesForFindings=[
{
'key': 'string',
'value': 'string'
},
]
)
:type assessmentTargetArn: string
:param assessmentTargetArn: [REQUIRED]\nThe ARN that specifies the assessment target for which you want to create the assessment template.\n
:type assessmentTemplateName: string
:param assessmentTemplateName: [REQUIRED]\nThe user-defined name that identifies the assessment template that you want to create. You can create several assessment templates for an assessment target. The names of the assessment templates that correspond to a particular assessment target must be unique.\n
:type durationInSeconds: integer
:param durationInSeconds: [REQUIRED]\nThe duration of the assessment run in seconds.\n
:type rulesPackageArns: list
:param rulesPackageArns: [REQUIRED]\nThe ARNs that specify the rules packages that you want to attach to the assessment template.\n\n(string) --\n\n
:type userAttributesForFindings: list
:param userAttributesForFindings: The user-defined attributes that are assigned to every finding that is generated by the assessment run that uses this assessment template. An attribute is a key and value pair (an Attribute object). Within an assessment template, each key must be unique.\n\n(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.\n\nkey (string) -- [REQUIRED]The attribute key.\n\nvalue (string) --The value assigned to the attribute key.\n\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'assessmentTemplateArn': 'string'
}
Response Structure
(dict) --
assessmentTemplateArn (string) --
The ARN that specifies the assessment template that is created.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Creates an assessment template for the assessment target that is specified by the ARN of the assessment target.
response = client.create_assessment_template(
assessmentTargetArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX',
assessmentTemplateName='ExampleAssessmentTemplate',
durationInSeconds=180,
rulesPackageArns=[
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-11B9DBXp',
],
userAttributesForFindings=[
{
'key': 'Example',
'value': 'example',
},
],
)
print(response)
Expected Output:
{
'assessmentTemplateArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTemplateArn': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def create_exclusions_preview(assessmentTemplateArn=None):
"""
Starts the generation of an exclusions preview for the specified assessment template. The exclusions preview lists the potential exclusions (ExclusionPreview) that Inspector can detect before it runs the assessment.
See also: AWS API Documentation
Exceptions
:example: response = client.create_exclusions_preview(
assessmentTemplateArn='string'
)
:type assessmentTemplateArn: string
:param assessmentTemplateArn: [REQUIRED]\nThe ARN that specifies the assessment template for which you want to create an exclusions preview.\n
:rtype: dict
ReturnsResponse Syntax{
'previewToken': 'string'
}
Response Structure
(dict) --
previewToken (string) --Specifies the unique identifier of the requested exclusions preview. You can use the unique identifier to retrieve the exclusions preview when running the GetExclusionsPreview API.
Exceptions
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.PreviewGenerationInProgressException
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
:return: {
'previewToken': 'string'
}
"""
pass
def create_resource_group(resourceGroupTags=None):
"""
Creates a resource group using the specified set of tags (key and value pairs) that are used to select the EC2 instances to be included in an Amazon Inspector assessment target. The created resource group is then used to create an Amazon Inspector assessment target. For more information, see CreateAssessmentTarget .
See also: AWS API Documentation
Exceptions
Examples
Creates a resource group using the specified set of tags (key and value pairs) that are used to select the EC2 instances to be included in an Amazon Inspector assessment target. The created resource group is then used to create an Amazon Inspector assessment target.
Expected Output:
:example: response = client.create_resource_group(
resourceGroupTags=[
{
'key': 'string',
'value': 'string'
},
]
)
:type resourceGroupTags: list
:param resourceGroupTags: [REQUIRED]\nA collection of keys and an array of possible values, \'[{'key':'key1','values':['Value1','Value2']},{'key':'Key2','values':['Value3']}]\'.\nFor example,\'[{'key':'Name','values':['TestEC2Instance']}]\'.\n\n(dict) --This data type is used as one of the elements of the ResourceGroup data type.\n\nkey (string) -- [REQUIRED]A tag key.\n\nvalue (string) --The value assigned to a tag key.\n\n\n\n\n
:rtype: dict
ReturnsResponse Syntax{
'resourceGroupArn': 'string'
}
Response Structure
(dict) --
resourceGroupArn (string) --The ARN that specifies the resource group that is created.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Creates a resource group using the specified set of tags (key and value pairs) that are used to select the EC2 instances to be included in an Amazon Inspector assessment target. The created resource group is then used to create an Amazon Inspector assessment target.
response = client.create_resource_group(
resourceGroupTags=[
{
'key': 'Name',
'value': 'example',
},
],
)
print(response)
Expected Output:
{
'resourceGroupArn': 'arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-AB6DMKnv',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'resourceGroupArn': 'string'
}
"""
pass
def delete_assessment_run(assessmentRunArn=None):
"""
Deletes the assessment run that is specified by the ARN of the assessment run.
See also: AWS API Documentation
Exceptions
Examples
Deletes the assessment run that is specified by the ARN of the assessment run.
Expected Output:
:example: response = client.delete_assessment_run(
assessmentRunArn='string'
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN that specifies the assessment run that you want to delete.\n
:return: response = client.delete_assessment_run(
assessmentRunArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T/run/0-11LMTAVe',
)
print(response)
"""
pass
def delete_assessment_target(assessmentTargetArn=None):
"""
Deletes the assessment target that is specified by the ARN of the assessment target.
See also: AWS API Documentation
Exceptions
Examples
Deletes the assessment target that is specified by the ARN of the assessment target.
Expected Output:
:example: response = client.delete_assessment_target(
assessmentTargetArn='string'
)
:type assessmentTargetArn: string
:param assessmentTargetArn: [REQUIRED]\nThe ARN that specifies the assessment target that you want to delete.\n
:return: response = client.delete_assessment_target(
assessmentTargetArn='arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
)
print(response)
"""
pass
def delete_assessment_template(assessmentTemplateArn=None):
"""
Deletes the assessment template that is specified by the ARN of the assessment template.
See also: AWS API Documentation
Exceptions
Examples
Deletes the assessment template that is specified by the ARN of the assessment template.
Expected Output:
:example: response = client.delete_assessment_template(
assessmentTemplateArn='string'
)
:type assessmentTemplateArn: string
:param assessmentTemplateArn: [REQUIRED]\nThe ARN that specifies the assessment template that you want to delete.\n
:return: response = client.delete_assessment_template(
assessmentTemplateArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T',
)
print(response)
"""
pass
def describe_assessment_runs(assessmentRunArns=None):
"""
Describes the assessment runs that are specified by the ARNs of the assessment runs.
See also: AWS API Documentation
Exceptions
Examples
Describes the assessment runs that are specified by the ARNs of the assessment runs.
Expected Output:
:example: response = client.describe_assessment_runs(
assessmentRunArns=[
'string',
]
)
:type assessmentRunArns: list
:param assessmentRunArns: [REQUIRED]\nThe ARN that specifies the assessment run that you want to describe.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax{
'assessmentRuns': [
{
'arn': 'string',
'name': 'string',
'assessmentTemplateArn': 'string',
'state': 'CREATED'|'START_DATA_COLLECTION_PENDING'|'START_DATA_COLLECTION_IN_PROGRESS'|'COLLECTING_DATA'|'STOP_DATA_COLLECTION_PENDING'|'DATA_COLLECTED'|'START_EVALUATING_RULES_PENDING'|'EVALUATING_RULES'|'FAILED'|'ERROR'|'COMPLETED'|'COMPLETED_WITH_ERRORS'|'CANCELED',
'durationInSeconds': 123,
'rulesPackageArns': [
'string',
],
'userAttributesForFindings': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1),
'startedAt': datetime(2015, 1, 1),
'completedAt': datetime(2015, 1, 1),
'stateChangedAt': datetime(2015, 1, 1),
'dataCollected': True|False,
'stateChanges': [
{
'stateChangedAt': datetime(2015, 1, 1),
'state': 'CREATED'|'START_DATA_COLLECTION_PENDING'|'START_DATA_COLLECTION_IN_PROGRESS'|'COLLECTING_DATA'|'STOP_DATA_COLLECTION_PENDING'|'DATA_COLLECTED'|'START_EVALUATING_RULES_PENDING'|'EVALUATING_RULES'|'FAILED'|'ERROR'|'COMPLETED'|'COMPLETED_WITH_ERRORS'|'CANCELED'
},
],
'notifications': [
{
'date': datetime(2015, 1, 1),
'event': 'ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
'message': 'string',
'error': True|False,
'snsTopicArn': 'string',
'snsPublishStatusCode': 'SUCCESS'|'TOPIC_DOES_NOT_EXIST'|'ACCESS_DENIED'|'INTERNAL_ERROR'
},
],
'findingCounts': {
'string': 123
}
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
assessmentRuns (list) --Information about the assessment run.
(dict) --A snapshot of an Amazon Inspector assessment run that contains the findings of the assessment run .
Used as the response element in the DescribeAssessmentRuns action.
arn (string) --The ARN of the assessment run.
name (string) --The auto-generated name for the assessment run.
assessmentTemplateArn (string) --The ARN of the assessment template that is associated with the assessment run.
state (string) --The state of the assessment run.
durationInSeconds (integer) --The duration of the assessment run.
rulesPackageArns (list) --The rules packages selected for the assessment run.
(string) --
userAttributesForFindings (list) --The user-defined attributes that are assigned to every generated finding.
(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --The attribute key.
value (string) --The value assigned to the attribute key.
createdAt (datetime) --The time when StartAssessmentRun was called.
startedAt (datetime) --The time when StartAssessmentRun was called.
completedAt (datetime) --The assessment run completion time that corresponds to the rules packages evaluation completion time or failure.
stateChangedAt (datetime) --The last time when the assessment run\'s state changed.
dataCollected (boolean) --A Boolean value (true or false) that specifies whether the process of collecting data from the agents is completed.
stateChanges (list) --A list of the assessment run state changes.
(dict) --Used as one of the elements of the AssessmentRun data type.
stateChangedAt (datetime) --The last time the assessment run state changed.
state (string) --The assessment run state.
notifications (list) --A list of notifications for the event subscriptions. A notification about a particular generated finding is added to this list only once.
(dict) --Used as one of the elements of the AssessmentRun data type.
date (datetime) --The date of the notification.
event (string) --The event for which a notification is sent.
message (string) --The message included in the notification.
error (boolean) --The Boolean value that specifies whether the notification represents an error.
snsTopicArn (string) --The SNS topic to which the SNS notification is sent.
snsPublishStatusCode (string) --The status code of the SNS notification.
findingCounts (dict) --Provides a total count of generated findings per severity.
(string) --
(integer) --
failedItems (dict) --Assessment run details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --Includes details about the failed items.
failureCode (string) --The status code of a failed item.
retryable (boolean) --Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the assessment runs that are specified by the ARNs of the assessment runs.
response = client.describe_assessment_runs(
assessmentRunArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
],
)
print(response)
Expected Output:
{
'assessmentRuns': [
{
'name': 'Run 1 for ExampleAssessmentTemplate',
'arn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
'assessmentTemplateArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw',
'completedAt': datetime(2016, 3, 22, 20, 58, 21, 1, 82, 0),
'createdAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
'dataCollected': True,
'durationInSeconds': 3600,
'findingCounts': {
'High': 14,
'Informational': 0,
'Low': 0,
'Medium': 2,
'Undefined': 0,
},
'notifications': [
],
'rulesPackageArns': [
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-X1KXtawP',
],
'startedAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
'state': 'COMPLETED',
'stateChangedAt': datetime(2016, 3, 22, 20, 58, 21, 1, 82, 0),
'stateChanges': [
{
'state': 'CREATED',
'stateChangedAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
},
{
'state': 'START_DATA_COLLECTION_PENDING',
'stateChangedAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
},
{
'state': 'START_DATA_COLLECTION_IN_PROGRESS',
'stateChangedAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
},
{
'state': 'COLLECTING_DATA',
'stateChangedAt': datetime(2016, 3, 22, 20, 56, 10, 1, 82, 0),
},
{
'state': 'STOP_DATA_COLLECTION_PENDING',
'stateChangedAt': datetime(2016, 3, 22, 20, 57, 19, 1, 82, 0),
},
{
'state': 'DATA_COLLECTED',
'stateChangedAt': datetime(2016, 3, 22, 20, 58, 19, 1, 82, 0),
},
{
'state': 'EVALUATING_RULES',
'stateChangedAt': datetime(2016, 3, 22, 20, 58, 20, 1, 82, 0),
},
{
'state': 'COMPLETED',
'stateChangedAt': datetime(2016, 3, 22, 20, 58, 21, 1, 82, 0),
},
],
'userAttributesForFindings': [
],
},
],
'failedItems': {
},
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentRuns': [
{
'arn': 'string',
'name': 'string',
'assessmentTemplateArn': 'string',
'state': 'CREATED'|'START_DATA_COLLECTION_PENDING'|'START_DATA_COLLECTION_IN_PROGRESS'|'COLLECTING_DATA'|'STOP_DATA_COLLECTION_PENDING'|'DATA_COLLECTED'|'START_EVALUATING_RULES_PENDING'|'EVALUATING_RULES'|'FAILED'|'ERROR'|'COMPLETED'|'COMPLETED_WITH_ERRORS'|'CANCELED',
'durationInSeconds': 123,
'rulesPackageArns': [
'string',
],
'userAttributesForFindings': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1),
'startedAt': datetime(2015, 1, 1),
'completedAt': datetime(2015, 1, 1),
'stateChangedAt': datetime(2015, 1, 1),
'dataCollected': True|False,
'stateChanges': [
{
'stateChangedAt': datetime(2015, 1, 1),
'state': 'CREATED'|'START_DATA_COLLECTION_PENDING'|'START_DATA_COLLECTION_IN_PROGRESS'|'COLLECTING_DATA'|'STOP_DATA_COLLECTION_PENDING'|'DATA_COLLECTED'|'START_EVALUATING_RULES_PENDING'|'EVALUATING_RULES'|'FAILED'|'ERROR'|'COMPLETED'|'COMPLETED_WITH_ERRORS'|'CANCELED'
},
],
'notifications': [
{
'date': datetime(2015, 1, 1),
'event': 'ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
'message': 'string',
'error': True|False,
'snsTopicArn': 'string',
'snsPublishStatusCode': 'SUCCESS'|'TOPIC_DOES_NOT_EXIST'|'ACCESS_DENIED'|'INTERNAL_ERROR'
},
],
'findingCounts': {
'string': 123
}
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
(string) --
"""
pass
def describe_assessment_targets(assessmentTargetArns=None):
"""
Describes the assessment targets that are specified by the ARNs of the assessment targets.
See also: AWS API Documentation
Exceptions
Examples
Describes the assessment targets that are specified by the ARNs of the assessment targets.
Expected Output:
:example: response = client.describe_assessment_targets(
assessmentTargetArns=[
'string',
]
)
:type assessmentTargetArns: list
:param assessmentTargetArns: [REQUIRED]\nThe ARNs that specifies the assessment targets that you want to describe.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax{
'assessmentTargets': [
{
'arn': 'string',
'name': 'string',
'resourceGroupArn': 'string',
'createdAt': datetime(2015, 1, 1),
'updatedAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
assessmentTargets (list) --Information about the assessment targets.
(dict) --Contains information about an Amazon Inspector application. This data type is used as the response element in the DescribeAssessmentTargets action.
arn (string) --The ARN that specifies the Amazon Inspector assessment target.
name (string) --The name of the Amazon Inspector assessment target.
resourceGroupArn (string) --The ARN that specifies the resource group that is associated with the assessment target.
createdAt (datetime) --The time at which the assessment target is created.
updatedAt (datetime) --The time at which UpdateAssessmentTarget is called.
failedItems (dict) --Assessment target details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --Includes details about the failed items.
failureCode (string) --The status code of a failed item.
retryable (boolean) --Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the assessment targets that are specified by the ARNs of the assessment targets.
response = client.describe_assessment_targets(
assessmentTargetArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
],
)
print(response)
Expected Output:
{
'assessmentTargets': [
{
'name': 'ExampleAssessmentTarget',
'arn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
'createdAt': datetime(2016, 3, 15, 20, 36, 31, 1, 75, 0),
'resourceGroupArn': 'arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-PyGXopAI',
'updatedAt': datetime(2016, 3, 15, 20, 36, 31, 1, 75, 0),
},
],
'failedItems': {
},
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTargets': [
{
'arn': 'string',
'name': 'string',
'resourceGroupArn': 'string',
'createdAt': datetime(2015, 1, 1),
'updatedAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
"""
pass
def describe_assessment_templates(assessmentTemplateArns=None):
"""
Describes the assessment templates that are specified by the ARNs of the assessment templates.
See also: AWS API Documentation
Exceptions
Examples
Describes the assessment templates that are specified by the ARNs of the assessment templates.
Expected Output:
:example: response = client.describe_assessment_templates(
assessmentTemplateArns=[
'string',
]
)
:type assessmentTemplateArns: list
:param assessmentTemplateArns: [REQUIRED]\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax{
'assessmentTemplates': [
{
'arn': 'string',
'name': 'string',
'assessmentTargetArn': 'string',
'durationInSeconds': 123,
'rulesPackageArns': [
'string',
],
'userAttributesForFindings': [
{
'key': 'string',
'value': 'string'
},
],
'lastAssessmentRunArn': 'string',
'assessmentRunCount': 123,
'createdAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
assessmentTemplates (list) --Information about the assessment templates.
(dict) --Contains information about an Amazon Inspector assessment template. This data type is used as the response element in the DescribeAssessmentTemplates action.
arn (string) --The ARN of the assessment template.
name (string) --The name of the assessment template.
assessmentTargetArn (string) --The ARN of the assessment target that corresponds to this assessment template.
durationInSeconds (integer) --The duration in seconds specified for this assessment template. The default value is 3600 seconds (one hour). The maximum value is 86400 seconds (one day).
rulesPackageArns (list) --The rules packages that are specified for this assessment template.
(string) --
userAttributesForFindings (list) --The user-defined attributes that are assigned to every generated finding from the assessment run that uses this assessment template.
(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --The attribute key.
value (string) --The value assigned to the attribute key.
lastAssessmentRunArn (string) --The Amazon Resource Name (ARN) of the most recent assessment run associated with this assessment template. This value exists only when the value of assessmentRunCount is greaterpa than zero.
assessmentRunCount (integer) --The number of existing assessment runs associated with this assessment template. This value can be zero or a positive integer.
createdAt (datetime) --The time at which the assessment template is created.
failedItems (dict) --Assessment template details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --Includes details about the failed items.
failureCode (string) --The status code of a failed item.
retryable (boolean) --Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the assessment templates that are specified by the ARNs of the assessment templates.
response = client.describe_assessment_templates(
assessmentTemplateArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw',
],
)
print(response)
Expected Output:
{
'assessmentTemplates': [
{
'name': 'ExampleAssessmentTemplate',
'arn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw',
'assessmentRunCount': 0,
'assessmentTargetArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
'createdAt': datetime(2016, 3, 15, 20, 36, 31, 1, 75, 0),
'durationInSeconds': 3600,
'rulesPackageArns': [
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-X1KXtawP',
],
'userAttributesForFindings': [
],
},
],
'failedItems': {
},
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTemplates': [
{
'arn': 'string',
'name': 'string',
'assessmentTargetArn': 'string',
'durationInSeconds': 123,
'rulesPackageArns': [
'string',
],
'userAttributesForFindings': [
{
'key': 'string',
'value': 'string'
},
],
'lastAssessmentRunArn': 'string',
'assessmentRunCount': 123,
'createdAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
(string) --
"""
pass
def describe_cross_account_access_role():
"""
Describes the IAM role that enables Amazon Inspector to access your AWS account.
See also: AWS API Documentation
Exceptions
Examples
Describes the IAM role that enables Amazon Inspector to access your AWS account.
Expected Output:
:example: response = client.describe_cross_account_access_role()
:rtype: dict
ReturnsResponse Syntax{
'roleArn': 'string',
'valid': True|False,
'registeredAt': datetime(2015, 1, 1)
}
Response Structure
(dict) --
roleArn (string) --The ARN that specifies the IAM role that Amazon Inspector uses to access your AWS account.
valid (boolean) --A Boolean value that specifies whether the IAM role has the necessary policies attached to enable Amazon Inspector to access your AWS account.
registeredAt (datetime) --The date when the cross-account access role was registered.
Exceptions
Inspector.Client.exceptions.InternalException
Examples
Describes the IAM role that enables Amazon Inspector to access your AWS account.
response = client.describe_cross_account_access_role(
)
print(response)
Expected Output:
{
'registeredAt': datetime(2016, 3, 15, 19, 13, 2, 1, 75, 0),
'roleArn': 'arn:aws:iam::123456789012:role/inspector',
'valid': True,
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'roleArn': 'string',
'valid': True|False,
'registeredAt': datetime(2015, 1, 1)
}
"""
pass
def describe_exclusions(exclusionArns=None, locale=None):
"""
Describes the exclusions that are specified by the exclusions\' ARNs.
See also: AWS API Documentation
Exceptions
:example: response = client.describe_exclusions(
exclusionArns=[
'string',
],
locale='EN_US'
)
:type exclusionArns: list
:param exclusionArns: [REQUIRED]\nThe list of ARNs that specify the exclusions that you want to describe.\n\n(string) --\n\n
:type locale: string
:param locale: The locale into which you want to translate the exclusion\'s title, description, and recommendation.
:rtype: dict
ReturnsResponse Syntax
{
'exclusions': {
'string': {
'arn': 'string',
'title': 'string',
'description': 'string',
'recommendation': 'string',
'scopes': [
{
'key': 'INSTANCE_ID'|'RULES_PACKAGE_ARN',
'value': 'string'
},
],
'attributes': [
{
'key': 'string',
'value': 'string'
},
]
}
},
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
exclusions (dict) --
Information about the exclusions.
(string) --
(dict) --
Contains information about what was excluded from an assessment run.
arn (string) --
The ARN that specifies the exclusion.
title (string) --
The name of the exclusion.
description (string) --
The description of the exclusion.
recommendation (string) --
The recommendation for the exclusion.
scopes (list) --
The AWS resources for which the exclusion pertains.
(dict) --
This data type contains key-value pairs that identify various Amazon resources.
key (string) --
The type of the scope.
value (string) --
The resource identifier for the specified scope type.
attributes (list) --
The system-defined attributes for the exclusion.
(dict) --
This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --
The attribute key.
value (string) --
The value assigned to the attribute key.
failedItems (dict) --
Exclusion details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --
Includes details about the failed items.
failureCode (string) --
The status code of a failed item.
retryable (boolean) --
Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
:return: {
'exclusions': {
'string': {
'arn': 'string',
'title': 'string',
'description': 'string',
'recommendation': 'string',
'scopes': [
{
'key': 'INSTANCE_ID'|'RULES_PACKAGE_ARN',
'value': 'string'
},
],
'attributes': [
{
'key': 'string',
'value': 'string'
},
]
}
},
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
"""
pass
def describe_findings(findingArns=None, locale=None):
"""
Describes the findings that are specified by the ARNs of the findings.
See also: AWS API Documentation
Exceptions
Examples
Describes the findings that are specified by the ARNs of the findings.
Expected Output:
:example: response = client.describe_findings(
findingArns=[
'string',
],
locale='EN_US'
)
:type findingArns: list
:param findingArns: [REQUIRED]\nThe ARN that specifies the finding that you want to describe.\n\n(string) --\n\n
:type locale: string
:param locale: The locale into which you want to translate a finding description, recommendation, and the short description that identifies the finding.
:rtype: dict
ReturnsResponse Syntax
{
'findings': [
{
'arn': 'string',
'schemaVersion': 123,
'service': 'string',
'serviceAttributes': {
'schemaVersion': 123,
'assessmentRunArn': 'string',
'rulesPackageArn': 'string'
},
'assetType': 'ec2-instance',
'assetAttributes': {
'schemaVersion': 123,
'agentId': 'string',
'autoScalingGroup': 'string',
'amiId': 'string',
'hostname': 'string',
'ipv4Addresses': [
'string',
],
'tags': [
{
'key': 'string',
'value': 'string'
},
],
'networkInterfaces': [
{
'networkInterfaceId': 'string',
'subnetId': 'string',
'vpcId': 'string',
'privateDnsName': 'string',
'privateIpAddress': 'string',
'privateIpAddresses': [
{
'privateDnsName': 'string',
'privateIpAddress': 'string'
},
],
'publicDnsName': 'string',
'publicIp': 'string',
'ipv6Addresses': [
'string',
],
'securityGroups': [
{
'groupName': 'string',
'groupId': 'string'
},
]
},
]
},
'id': 'string',
'title': 'string',
'description': 'string',
'recommendation': 'string',
'severity': 'Low'|'Medium'|'High'|'Informational'|'Undefined',
'numericSeverity': 123.0,
'confidence': 123,
'indicatorOfCompromise': True|False,
'attributes': [
{
'key': 'string',
'value': 'string'
},
],
'userAttributes': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1),
'updatedAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
findings (list) --
Information about the finding.
(dict) --
Contains information about an Amazon Inspector finding. This data type is used as the response element in the DescribeFindings action.
arn (string) --
The ARN that specifies the finding.
schemaVersion (integer) --
The schema version of this data type.
service (string) --
The data element is set to "Inspector".
serviceAttributes (dict) --
This data type is used in the Finding data type.
schemaVersion (integer) --
The schema version of this data type.
assessmentRunArn (string) --
The ARN of the assessment run during which the finding is generated.
rulesPackageArn (string) --
The ARN of the rules package that is used to generate the finding.
assetType (string) --
The type of the host from which the finding is generated.
assetAttributes (dict) --
A collection of attributes of the host from which the finding is generated.
schemaVersion (integer) --
The schema version of this data type.
agentId (string) --
The ID of the agent that is installed on the EC2 instance where the finding is generated.
autoScalingGroup (string) --
The Auto Scaling group of the EC2 instance where the finding is generated.
amiId (string) --
The ID of the Amazon Machine Image (AMI) that is installed on the EC2 instance where the finding is generated.
hostname (string) --
The hostname of the EC2 instance where the finding is generated.
ipv4Addresses (list) --
The list of IP v4 addresses of the EC2 instance where the finding is generated.
(string) --
tags (list) --
The tags related to the EC2 instance where the finding is generated.
(dict) --
A key and value pair. This data type is used as a request parameter in the SetTagsForResource action and a response element in the ListTagsForResource action.
key (string) --
A tag key.
value (string) --
A value assigned to a tag key.
networkInterfaces (list) --
An array of the network interfaces interacting with the EC2 instance where the finding is generated.
(dict) --
Contains information about the network interfaces interacting with an EC2 instance. This data type is used as one of the elements of the AssetAttributes data type.
networkInterfaceId (string) --
The ID of the network interface.
subnetId (string) --
The ID of a subnet associated with the network interface.
vpcId (string) --
The ID of a VPC associated with the network interface.
privateDnsName (string) --
The name of a private DNS associated with the network interface.
privateIpAddress (string) --
The private IP address associated with the network interface.
privateIpAddresses (list) --
A list of the private IP addresses associated with the network interface. Includes the privateDnsName and privateIpAddress.
(dict) --
Contains information about a private IP address associated with a network interface. This data type is used as a response element in the DescribeFindings action.
privateDnsName (string) --
The DNS name of the private IP address.
privateIpAddress (string) --
The full IP address of the network inteface.
publicDnsName (string) --
The name of a public DNS associated with the network interface.
publicIp (string) --
The public IP address from which the network interface is reachable.
ipv6Addresses (list) --
The IP addresses associated with the network interface.
(string) --
securityGroups (list) --
A list of the security groups associated with the network interface. Includes the groupId and groupName.
(dict) --
Contains information about a security group associated with a network interface. This data type is used as one of the elements of the NetworkInterface data type.
groupName (string) --
The name of the security group.
groupId (string) --
The ID of the security group.
id (string) --
The ID of the finding.
title (string) --
The name of the finding.
description (string) --
The description of the finding.
recommendation (string) --
The recommendation for the finding.
severity (string) --
The finding severity. Values can be set to High, Medium, Low, and Informational.
numericSeverity (float) --
The numeric value of the finding severity.
confidence (integer) --
This data element is currently not used.
indicatorOfCompromise (boolean) --
This data element is currently not used.
attributes (list) --
The system-defined attributes for the finding.
(dict) --
This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --
The attribute key.
value (string) --
The value assigned to the attribute key.
userAttributes (list) --
The user-defined attributes that are assigned to the finding.
(dict) --
This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --
The attribute key.
value (string) --
The value assigned to the attribute key.
createdAt (datetime) --
The time when the finding was generated.
updatedAt (datetime) --
The time when AddAttributesToFindings is called.
failedItems (dict) --
Finding details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --
Includes details about the failed items.
failureCode (string) --
The status code of a failed item.
retryable (boolean) --
Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the findings that are specified by the ARNs of the findings.
response = client.describe_findings(
findingArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE/finding/0-HwPnsDm4',
],
)
print(response)
Expected Output:
{
'failedItems': {
},
'findings': [
{
'arn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE/finding/0-HwPnsDm4',
'assetAttributes': {
'ipv4Addresses': [
],
'schemaVersion': 1,
},
'assetType': 'ec2-instance',
'attributes': [
],
'confidence': 10,
'createdAt': datetime(2016, 3, 22, 20, 58, 21, 1, 82, 0),
'description': 'Amazon Inspector did not find any potential security issues during this assessment.',
'indicatorOfCompromise': False,
'numericSeverity': 0,
'recommendation': 'No remediation needed.',
'schemaVersion': 1,
'service': 'Inspector',
'serviceAttributes': {
'assessmentRunArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
'rulesPackageArn': 'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-X1KXtawP',
'schemaVersion': 1,
},
'severity': 'Informational',
'title': 'No potential security issues found',
'updatedAt': datetime(2016, 3, 22, 20, 58, 21, 1, 82, 0),
'userAttributes': [
],
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'findings': [
{
'arn': 'string',
'schemaVersion': 123,
'service': 'string',
'serviceAttributes': {
'schemaVersion': 123,
'assessmentRunArn': 'string',
'rulesPackageArn': 'string'
},
'assetType': 'ec2-instance',
'assetAttributes': {
'schemaVersion': 123,
'agentId': 'string',
'autoScalingGroup': 'string',
'amiId': 'string',
'hostname': 'string',
'ipv4Addresses': [
'string',
],
'tags': [
{
'key': 'string',
'value': 'string'
},
],
'networkInterfaces': [
{
'networkInterfaceId': 'string',
'subnetId': 'string',
'vpcId': 'string',
'privateDnsName': 'string',
'privateIpAddress': 'string',
'privateIpAddresses': [
{
'privateDnsName': 'string',
'privateIpAddress': 'string'
},
],
'publicDnsName': 'string',
'publicIp': 'string',
'ipv6Addresses': [
'string',
],
'securityGroups': [
{
'groupName': 'string',
'groupId': 'string'
},
]
},
]
},
'id': 'string',
'title': 'string',
'description': 'string',
'recommendation': 'string',
'severity': 'Low'|'Medium'|'High'|'Informational'|'Undefined',
'numericSeverity': 123.0,
'confidence': 123,
'indicatorOfCompromise': True|False,
'attributes': [
{
'key': 'string',
'value': 'string'
},
],
'userAttributes': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1),
'updatedAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
(string) --
"""
pass
def describe_resource_groups(resourceGroupArns=None):
"""
Describes the resource groups that are specified by the ARNs of the resource groups.
See also: AWS API Documentation
Exceptions
Examples
Describes the resource groups that are specified by the ARNs of the resource groups.
Expected Output:
:example: response = client.describe_resource_groups(
resourceGroupArns=[
'string',
]
)
:type resourceGroupArns: list
:param resourceGroupArns: [REQUIRED]\nThe ARN that specifies the resource group that you want to describe.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax{
'resourceGroups': [
{
'arn': 'string',
'tags': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
resourceGroups (list) --Information about a resource group.
(dict) --Contains information about a resource group. The resource group defines a set of tags that, when queried, identify the AWS resources that make up the assessment target. This data type is used as the response element in the DescribeResourceGroups action.
arn (string) --The ARN of the resource group.
tags (list) --The tags (key and value pairs) of the resource group. This data type property is used in the CreateResourceGroup action.
(dict) --This data type is used as one of the elements of the ResourceGroup data type.
key (string) --A tag key.
value (string) --The value assigned to a tag key.
createdAt (datetime) --The time at which resource group is created.
failedItems (dict) --Resource group details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --Includes details about the failed items.
failureCode (string) --The status code of a failed item.
retryable (boolean) --Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the resource groups that are specified by the ARNs of the resource groups.
response = client.describe_resource_groups(
resourceGroupArns=[
'arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-PyGXopAI',
],
)
print(response)
Expected Output:
{
'failedItems': {
},
'resourceGroups': [
{
'arn': 'arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-PyGXopAI',
'createdAt': datetime(2016, 3, 15, 20, 36, 31, 1, 75, 0),
'tags': [
{
'key': 'Name',
'value': 'example',
},
],
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'resourceGroups': [
{
'arn': 'string',
'tags': [
{
'key': 'string',
'value': 'string'
},
],
'createdAt': datetime(2015, 1, 1)
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
"""
pass
def describe_rules_packages(rulesPackageArns=None, locale=None):
"""
Describes the rules packages that are specified by the ARNs of the rules packages.
See also: AWS API Documentation
Exceptions
Examples
Describes the rules packages that are specified by the ARNs of the rules packages.
Expected Output:
:example: response = client.describe_rules_packages(
rulesPackageArns=[
'string',
],
locale='EN_US'
)
:type rulesPackageArns: list
:param rulesPackageArns: [REQUIRED]\nThe ARN that specifies the rules package that you want to describe.\n\n(string) --\n\n
:type locale: string
:param locale: The locale that you want to translate a rules package description into.
:rtype: dict
ReturnsResponse Syntax
{
'rulesPackages': [
{
'arn': 'string',
'name': 'string',
'version': 'string',
'provider': 'string',
'description': 'string'
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
rulesPackages (list) --
Information about the rules package.
(dict) --
Contains information about an Amazon Inspector rules package. This data type is used as the response element in the DescribeRulesPackages action.
arn (string) --
The ARN of the rules package.
name (string) --
The name of the rules package.
version (string) --
The version ID of the rules package.
provider (string) --
The provider of the rules package.
description (string) --
The description of the rules package.
failedItems (dict) --
Rules package details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --
Includes details about the failed items.
failureCode (string) --
The status code of a failed item.
retryable (boolean) --
Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Examples
Describes the rules packages that are specified by the ARNs of the rules packages.
response = client.describe_rules_packages(
rulesPackageArns=[
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-JJOtZiqQ',
],
)
print(response)
Expected Output:
{
'failedItems': {
},
'rulesPackages': [
{
'version': '1.1',
'name': 'Security Best Practices',
'arn': 'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-JJOtZiqQ',
'description': 'The rules in this package help determine whether your systems are configured securely.',
'provider': 'Amazon Web Services, Inc.',
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'rulesPackages': [
{
'arn': 'string',
'name': 'string',
'version': 'string',
'provider': 'string',
'description': 'string'
},
],
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to\nClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model.
"""
pass
def get_assessment_report(assessmentRunArn=None, reportFileFormat=None, reportType=None):
"""
Produces an assessment report that includes detailed and comprehensive results of a specified assessment run.
See also: AWS API Documentation
Exceptions
:example: response = client.get_assessment_report(
assessmentRunArn='string',
reportFileFormat='HTML'|'PDF',
reportType='FINDING'|'FULL'
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN that specifies the assessment run for which you want to generate a report.\n
:type reportFileFormat: string
:param reportFileFormat: [REQUIRED]\nSpecifies the file format (html or pdf) of the assessment report that you want to generate.\n
:type reportType: string
:param reportType: [REQUIRED]\nSpecifies the type of the assessment report that you want to generate. There are two types of assessment reports: a finding report and a full report. For more information, see Assessment Reports .\n
:rtype: dict
ReturnsResponse Syntax
{
'status': 'WORK_IN_PROGRESS'|'FAILED'|'COMPLETED',
'url': 'string'
}
Response Structure
(dict) --
status (string) --
Specifies the status of the request to generate an assessment report.
url (string) --
Specifies the URL where you can find the generated assessment report. This parameter is only returned if the report is successfully generated.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.AssessmentRunInProgressException
Inspector.Client.exceptions.UnsupportedFeatureException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
:return: {
'status': 'WORK_IN_PROGRESS'|'FAILED'|'COMPLETED',
'url': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.AssessmentRunInProgressException
Inspector.Client.exceptions.UnsupportedFeatureException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def get_exclusions_preview(assessmentTemplateArn=None, previewToken=None, nextToken=None, maxResults=None, locale=None):
"""
Retrieves the exclusions preview (a list of ExclusionPreview objects) specified by the preview token. You can obtain the preview token by running the CreateExclusionsPreview API.
See also: AWS API Documentation
Exceptions
:example: response = client.get_exclusions_preview(
assessmentTemplateArn='string',
previewToken='string',
nextToken='string',
maxResults=123,
locale='EN_US'
)
:type assessmentTemplateArn: string
:param assessmentTemplateArn: [REQUIRED]\nThe ARN that specifies the assessment template for which the exclusions preview was requested.\n
:type previewToken: string
:param previewToken: [REQUIRED]\nThe unique identifier associated of the exclusions preview.\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the GetExclusionsPreviewRequest action. Subsequent calls to the action fill nextToken in the request with the value of nextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 100. The maximum value is 500.
:type locale: string
:param locale: The locale into which you want to translate the exclusion\'s title, description, and recommendation.
:rtype: dict
ReturnsResponse Syntax
{
'previewStatus': 'WORK_IN_PROGRESS'|'COMPLETED',
'exclusionPreviews': [
{
'title': 'string',
'description': 'string',
'recommendation': 'string',
'scopes': [
{
'key': 'INSTANCE_ID'|'RULES_PACKAGE_ARN',
'value': 'string'
},
],
'attributes': [
{
'key': 'string',
'value': 'string'
},
]
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
previewStatus (string) --
Specifies the status of the request to generate an exclusions preview.
exclusionPreviews (list) --
Information about the exclusions included in the preview.
(dict) --
Contains information about what is excluded from an assessment run given the current state of the assessment template.
title (string) --
The name of the exclusion preview.
description (string) --
The description of the exclusion preview.
recommendation (string) --
The recommendation for the exclusion preview.
scopes (list) --
The AWS resources for which the exclusion preview pertains.
(dict) --
This data type contains key-value pairs that identify various Amazon resources.
key (string) --
The type of the scope.
value (string) --
The resource identifier for the specified scope type.
attributes (list) --
The system-defined attributes for the exclusion preview.
(dict) --
This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.
key (string) --
The attribute key.
value (string) --
The value assigned to the attribute key.
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameters is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
:return: {
'previewStatus': 'WORK_IN_PROGRESS'|'COMPLETED',
'exclusionPreviews': [
{
'title': 'string',
'description': 'string',
'recommendation': 'string',
'scopes': [
{
'key': 'INSTANCE_ID'|'RULES_PACKAGE_ARN',
'value': 'string'
},
],
'attributes': [
{
'key': 'string',
'value': 'string'
},
]
},
],
'nextToken': 'string'
}
:returns:
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
ReturnsA paginator object.
"""
pass
def get_telemetry_metadata(assessmentRunArn=None):
"""
Information about the data that is collected for the specified assessment run.
See also: AWS API Documentation
Exceptions
Examples
Information about the data that is collected for the specified assessment run.
Expected Output:
:example: response = client.get_telemetry_metadata(
assessmentRunArn='string'
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN that specifies the assessment run that has the telemetry data that you want to obtain.\n
:rtype: dict
ReturnsResponse Syntax{
'telemetryMetadata': [
{
'messageType': 'string',
'count': 123,
'dataSize': 123
},
]
}
Response Structure
(dict) --
telemetryMetadata (list) --Telemetry details.
(dict) --The metadata about the Amazon Inspector application data metrics collected by the agent. This data type is used as the response element in the GetTelemetryMetadata action.
messageType (string) --A specific type of behavioral data that is collected by the agent.
count (integer) --The count of messages that the agent sends to the Amazon Inspector service.
dataSize (integer) --The data size of messages that the agent sends to the Amazon Inspector service.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Information about the data that is collected for the specified assessment run.
response = client.get_telemetry_metadata(
assessmentRunArn='arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
)
print(response)
Expected Output:
{
'telemetryMetadata': [
{
'count': 2,
'dataSize': 345,
'messageType': 'InspectorDuplicateProcess',
},
{
'count': 3,
'dataSize': 255,
'messageType': 'InspectorTimeEventMsg',
},
{
'count': 4,
'dataSize': 1082,
'messageType': 'InspectorNetworkInterface',
},
{
'count': 2,
'dataSize': 349,
'messageType': 'InspectorDnsEntry',
},
{
'count': 11,
'dataSize': 2514,
'messageType': 'InspectorDirectoryInfoMsg',
},
{
'count': 1,
'dataSize': 179,
'messageType': 'InspectorTcpV6ListeningPort',
},
{
'count': 101,
'dataSize': 10949,
'messageType': 'InspectorTerminal',
},
{
'count': 26,
'dataSize': 5916,
'messageType': 'InspectorUser',
},
{
'count': 282,
'dataSize': 32148,
'messageType': 'InspectorDynamicallyLoadedCodeModule',
},
{
'count': 18,
'dataSize': 10172,
'messageType': 'InspectorCreateProcess',
},
{
'count': 3,
'dataSize': 8001,
'messageType': 'InspectorProcessPerformance',
},
{
'count': 1,
'dataSize': 360,
'messageType': 'InspectorOperatingSystem',
},
{
'count': 6,
'dataSize': 546,
'messageType': 'InspectorStopProcess',
},
{
'count': 1,
'dataSize': 1553,
'messageType': 'InspectorInstanceMetaData',
},
{
'count': 2,
'dataSize': 434,
'messageType': 'InspectorTcpV4Connection',
},
{
'count': 474,
'dataSize': 2960322,
'messageType': 'InspectorPackageInfo',
},
{
'count': 3,
'dataSize': 2235,
'messageType': 'InspectorSystemPerformance',
},
{
'count': 105,
'dataSize': 46048,
'messageType': 'InspectorCodeModule',
},
{
'count': 1,
'dataSize': 182,
'messageType': 'InspectorUdpV6ListeningPort',
},
{
'count': 2,
'dataSize': 371,
'messageType': 'InspectorUdpV4ListeningPort',
},
{
'count': 18,
'dataSize': 8362,
'messageType': 'InspectorKernelModule',
},
{
'count': 29,
'dataSize': 48788,
'messageType': 'InspectorConfigurationInfo',
},
{
'count': 1,
'dataSize': 79,
'messageType': 'InspectorMonitoringStart',
},
{
'count': 5,
'dataSize': 0,
'messageType': 'InspectorSplitMsgBegin',
},
{
'count': 51,
'dataSize': 4593,
'messageType': 'InspectorGroup',
},
{
'count': 1,
'dataSize': 184,
'messageType': 'InspectorTcpV4ListeningPort',
},
{
'count': 1159,
'dataSize': 3146579,
'messageType': 'Total',
},
{
'count': 5,
'dataSize': 0,
'messageType': 'InspectorSplitMsgEnd',
},
{
'count': 1,
'dataSize': 612,
'messageType': 'InspectorLoadImageInProcess',
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'telemetryMetadata': [
{
'messageType': 'string',
'count': 123,
'dataSize': 123
},
]
}
"""
pass
def get_waiter(waiter_name=None):
"""
Returns an object that can wait for some condition.
:type waiter_name: str
:param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters.
:rtype: botocore.waiter.Waiter
"""
pass
def list_assessment_run_agents(assessmentRunArn=None, filter=None, nextToken=None, maxResults=None):
"""
Lists the agents of the assessment runs that are specified by the ARNs of the assessment runs.
See also: AWS API Documentation
Exceptions
Examples
Lists the agents of the assessment runs that are specified by the ARNs of the assessment runs.
Expected Output:
:example: response = client.list_assessment_run_agents(
assessmentRunArn='string',
filter={
'agentHealths': [
'HEALTHY'|'UNHEALTHY'|'UNKNOWN',
],
'agentHealthCodes': [
'IDLE'|'RUNNING'|'SHUTDOWN'|'UNHEALTHY'|'THROTTLED'|'UNKNOWN',
]
},
nextToken='string',
maxResults=123
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN that specifies the assessment run whose agents you want to list.\n
:type filter: dict
:param filter: You can use this parameter to specify a subset of data to be included in the action\'s response.\nFor a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.\n\nagentHealths (list) -- [REQUIRED]The current health state of the agent. Values can be set to HEALTHY or UNHEALTHY .\n\n(string) --\n\n\nagentHealthCodes (list) -- [REQUIRED]The detailed health state of the agent. Values can be set to IDLE , RUNNING , SHUTDOWN , UNHEALTHY , THROTTLED , and UNKNOWN .\n\n(string) --\n\n\n\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListAssessmentRunAgents action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items that you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentRunAgents': [
{
'agentId': 'string',
'assessmentRunArn': 'string',
'agentHealth': 'HEALTHY'|'UNHEALTHY'|'UNKNOWN',
'agentHealthCode': 'IDLE'|'RUNNING'|'SHUTDOWN'|'UNHEALTHY'|'THROTTLED'|'UNKNOWN',
'agentHealthDetails': 'string',
'autoScalingGroup': 'string',
'telemetryMetadata': [
{
'messageType': 'string',
'count': 123,
'dataSize': 123
},
]
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
assessmentRunAgents (list) --
A list of ARNs that specifies the agents returned by the action.
(dict) --
Contains information about an Amazon Inspector agent. This data type is used as a response element in the ListAssessmentRunAgents action.
agentId (string) --
The AWS account of the EC2 instance where the agent is installed.
assessmentRunArn (string) --
The ARN of the assessment run that is associated with the agent.
agentHealth (string) --
The current health state of the agent.
agentHealthCode (string) --
The detailed health state of the agent.
agentHealthDetails (string) --
The description for the agent health code.
autoScalingGroup (string) --
The Auto Scaling group of the EC2 instance that is specified by the agent ID.
telemetryMetadata (list) --
The Amazon Inspector application data metrics that are collected by the agent.
(dict) --
The metadata about the Amazon Inspector application data metrics collected by the agent. This data type is used as the response element in the GetTelemetryMetadata action.
messageType (string) --
A specific type of behavioral data that is collected by the agent.
count (integer) --
The count of messages that the agent sends to the Amazon Inspector service.
dataSize (integer) --
The data size of messages that the agent sends to the Amazon Inspector service.
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists the agents of the assessment runs that are specified by the ARNs of the assessment runs.
response = client.list_assessment_run_agents(
assessmentRunArn='arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
maxResults=123,
)
print(response)
Expected Output:
{
'assessmentRunAgents': [
{
'agentHealth': 'HEALTHY',
'agentHealthCode': 'RUNNING',
'agentId': 'i-49113b93',
'assessmentRunArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
'telemetryMetadata': [
{
'count': 2,
'dataSize': 345,
'messageType': 'InspectorDuplicateProcess',
},
{
'count': 3,
'dataSize': 255,
'messageType': 'InspectorTimeEventMsg',
},
{
'count': 4,
'dataSize': 1082,
'messageType': 'InspectorNetworkInterface',
},
{
'count': 2,
'dataSize': 349,
'messageType': 'InspectorDnsEntry',
},
{
'count': 11,
'dataSize': 2514,
'messageType': 'InspectorDirectoryInfoMsg',
},
{
'count': 1,
'dataSize': 179,
'messageType': 'InspectorTcpV6ListeningPort',
},
{
'count': 101,
'dataSize': 10949,
'messageType': 'InspectorTerminal',
},
{
'count': 26,
'dataSize': 5916,
'messageType': 'InspectorUser',
},
{
'count': 282,
'dataSize': 32148,
'messageType': 'InspectorDynamicallyLoadedCodeModule',
},
{
'count': 18,
'dataSize': 10172,
'messageType': 'InspectorCreateProcess',
},
{
'count': 3,
'dataSize': 8001,
'messageType': 'InspectorProcessPerformance',
},
{
'count': 1,
'dataSize': 360,
'messageType': 'InspectorOperatingSystem',
},
{
'count': 6,
'dataSize': 546,
'messageType': 'InspectorStopProcess',
},
{
'count': 1,
'dataSize': 1553,
'messageType': 'InspectorInstanceMetaData',
},
{
'count': 2,
'dataSize': 434,
'messageType': 'InspectorTcpV4Connection',
},
{
'count': 474,
'dataSize': 2960322,
'messageType': 'InspectorPackageInfo',
},
{
'count': 3,
'dataSize': 2235,
'messageType': 'InspectorSystemPerformance',
},
{
'count': 105,
'dataSize': 46048,
'messageType': 'InspectorCodeModule',
},
{
'count': 1,
'dataSize': 182,
'messageType': 'InspectorUdpV6ListeningPort',
},
{
'count': 2,
'dataSize': 371,
'messageType': 'InspectorUdpV4ListeningPort',
},
{
'count': 18,
'dataSize': 8362,
'messageType': 'InspectorKernelModule',
},
{
'count': 29,
'dataSize': 48788,
'messageType': 'InspectorConfigurationInfo',
},
{
'count': 1,
'dataSize': 79,
'messageType': 'InspectorMonitoringStart',
},
{
'count': 5,
'dataSize': 0,
'messageType': 'InspectorSplitMsgBegin',
},
{
'count': 51,
'dataSize': 4593,
'messageType': 'InspectorGroup',
},
{
'count': 1,
'dataSize': 184,
'messageType': 'InspectorTcpV4ListeningPort',
},
{
'count': 1159,
'dataSize': 3146579,
'messageType': 'Total',
},
{
'count': 5,
'dataSize': 0,
'messageType': 'InspectorSplitMsgEnd',
},
{
'count': 1,
'dataSize': 612,
'messageType': 'InspectorLoadImageInProcess',
},
],
},
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentRunAgents': [
{
'agentId': 'string',
'assessmentRunArn': 'string',
'agentHealth': 'HEALTHY'|'UNHEALTHY'|'UNKNOWN',
'agentHealthCode': 'IDLE'|'RUNNING'|'SHUTDOWN'|'UNHEALTHY'|'THROTTLED'|'UNKNOWN',
'agentHealthDetails': 'string',
'autoScalingGroup': 'string',
'telemetryMetadata': [
{
'messageType': 'string',
'count': 123,
'dataSize': 123
},
]
},
],
'nextToken': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
"""
pass
def list_assessment_runs(assessmentTemplateArns=None, filter=None, nextToken=None, maxResults=None):
"""
Lists the assessment runs that correspond to the assessment templates that are specified by the ARNs of the assessment templates.
See also: AWS API Documentation
Exceptions
Examples
Lists the assessment runs that correspond to the assessment templates that are specified by the ARNs of the assessment templates.
Expected Output:
:example: response = client.list_assessment_runs(
assessmentTemplateArns=[
'string',
],
filter={
'namePattern': 'string',
'states': [
'CREATED'|'START_DATA_COLLECTION_PENDING'|'START_DATA_COLLECTION_IN_PROGRESS'|'COLLECTING_DATA'|'STOP_DATA_COLLECTION_PENDING'|'DATA_COLLECTED'|'START_EVALUATING_RULES_PENDING'|'EVALUATING_RULES'|'FAILED'|'ERROR'|'COMPLETED'|'COMPLETED_WITH_ERRORS'|'CANCELED',
],
'durationRange': {
'minSeconds': 123,
'maxSeconds': 123
},
'rulesPackageArns': [
'string',
],
'startTimeRange': {
'beginDate': datetime(2015, 1, 1),
'endDate': datetime(2015, 1, 1)
},
'completionTimeRange': {
'beginDate': datetime(2015, 1, 1),
'endDate': datetime(2015, 1, 1)
},
'stateChangeTimeRange': {
'beginDate': datetime(2015, 1, 1),
'endDate': datetime(2015, 1, 1)
}
},
nextToken='string',
maxResults=123
)
:type assessmentTemplateArns: list
:param assessmentTemplateArns: The ARNs that specify the assessment templates whose assessment runs you want to list.\n\n(string) --\n\n
:type filter: dict
:param filter: You can use this parameter to specify a subset of data to be included in the action\'s response.\nFor a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.\n\nnamePattern (string) --For a record to match a filter, an explicit value or a string containing a wildcard that is specified for this data type property must match the value of the assessmentRunName property of the AssessmentRun data type.\n\nstates (list) --For a record to match a filter, one of the values specified for this data type property must be the exact match of the value of the assessmentRunState property of the AssessmentRun data type.\n\n(string) --\n\n\ndurationRange (dict) --For a record to match a filter, the value that is specified for this data type property must inclusively match any value between the specified minimum and maximum values of the durationInSeconds property of the AssessmentRun data type.\n\nminSeconds (integer) --The minimum value of the duration range. Must be greater than zero.\n\nmaxSeconds (integer) --The maximum value of the duration range. Must be less than or equal to 604800 seconds (1 week).\n\n\n\nrulesPackageArns (list) --For a record to match a filter, the value that is specified for this data type property must be contained in the list of values of the rulesPackages property of the AssessmentRun data type.\n\n(string) --\n\n\nstartTimeRange (dict) --For a record to match a filter, the value that is specified for this data type property must inclusively match any value between the specified minimum and maximum values of the startTime property of the AssessmentRun data type.\n\nbeginDate (datetime) --The minimum value of the timestamp range.\n\nendDate (datetime) --The maximum value of the timestamp range.\n\n\n\ncompletionTimeRange (dict) --For a record to match a filter, the value that is specified for this data type property must inclusively match any value between the specified minimum and maximum values of the completedAt property of the AssessmentRun data type.\n\nbeginDate (datetime) --The minimum value of the timestamp range.\n\nendDate (datetime) --The maximum value of the timestamp range.\n\n\n\nstateChangeTimeRange (dict) --For a record to match a filter, the value that is specified for this data type property must match the stateChangedAt property of the AssessmentRun data type.\n\nbeginDate (datetime) --The minimum value of the timestamp range.\n\nendDate (datetime) --The maximum value of the timestamp range.\n\n\n\n\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListAssessmentRuns action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items that you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentRunArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
assessmentRunArns (list) --
A list of ARNs that specifies the assessment runs that are returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists the assessment runs that correspond to the assessment templates that are specified by the ARNs of the assessment templates.
response = client.list_assessment_runs(
assessmentTemplateArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw',
],
maxResults=123,
)
print(response)
Expected Output:
{
'assessmentRunArns': [
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-v5D6fI3v',
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentRunArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_assessment_targets(filter=None, nextToken=None, maxResults=None):
"""
Lists the ARNs of the assessment targets within this AWS account. For more information about assessment targets, see Amazon Inspector Assessment Targets .
See also: AWS API Documentation
Exceptions
Examples
Lists the ARNs of the assessment targets within this AWS account.
Expected Output:
:example: response = client.list_assessment_targets(
filter={
'assessmentTargetNamePattern': 'string'
},
nextToken='string',
maxResults=123
)
:type filter: dict
:param filter: You can use this parameter to specify a subset of data to be included in the action\'s response.\nFor a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.\n\nassessmentTargetNamePattern (string) --For a record to match a filter, an explicit value or a string that contains a wildcard that is specified for this data type property must match the value of the assessmentTargetName property of the AssessmentTarget data type.\n\n\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListAssessmentTargets action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentTargetArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
assessmentTargetArns (list) --
A list of ARNs that specifies the assessment targets that are returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Examples
Lists the ARNs of the assessment targets within this AWS account.
response = client.list_assessment_targets(
maxResults=123,
)
print(response)
Expected Output:
{
'assessmentTargetArns': [
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTargetArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_assessment_templates(assessmentTargetArns=None, filter=None, nextToken=None, maxResults=None):
"""
Lists the assessment templates that correspond to the assessment targets that are specified by the ARNs of the assessment targets.
See also: AWS API Documentation
Exceptions
Examples
Lists the assessment templates that correspond to the assessment targets that are specified by the ARNs of the assessment targets.
Expected Output:
:example: response = client.list_assessment_templates(
assessmentTargetArns=[
'string',
],
filter={
'namePattern': 'string',
'durationRange': {
'minSeconds': 123,
'maxSeconds': 123
},
'rulesPackageArns': [
'string',
]
},
nextToken='string',
maxResults=123
)
:type assessmentTargetArns: list
:param assessmentTargetArns: A list of ARNs that specifies the assessment targets whose assessment templates you want to list.\n\n(string) --\n\n
:type filter: dict
:param filter: You can use this parameter to specify a subset of data to be included in the action\'s response.\nFor a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.\n\nnamePattern (string) --For a record to match a filter, an explicit value or a string that contains a wildcard that is specified for this data type property must match the value of the assessmentTemplateName property of the AssessmentTemplate data type.\n\ndurationRange (dict) --For a record to match a filter, the value specified for this data type property must inclusively match any value between the specified minimum and maximum values of the durationInSeconds property of the AssessmentTemplate data type.\n\nminSeconds (integer) --The minimum value of the duration range. Must be greater than zero.\n\nmaxSeconds (integer) --The maximum value of the duration range. Must be less than or equal to 604800 seconds (1 week).\n\n\n\nrulesPackageArns (list) --For a record to match a filter, the values that are specified for this data type property must be contained in the list of values of the rulesPackageArns property of the AssessmentTemplate data type.\n\n(string) --\n\n\n\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListAssessmentTemplates action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentTemplateArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
assessmentTemplateArns (list) --
A list of ARNs that specifies the assessment templates returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists the assessment templates that correspond to the assessment targets that are specified by the ARNs of the assessment targets.
response = client.list_assessment_templates(
assessmentTargetArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
],
maxResults=123,
)
print(response)
Expected Output:
{
'assessmentTemplateArns': [
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw',
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-Uza6ihLh',
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentTemplateArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_event_subscriptions(resourceArn=None, nextToken=None, maxResults=None):
"""
Lists all the event subscriptions for the assessment template that is specified by the ARN of the assessment template. For more information, see SubscribeToEvent and UnsubscribeFromEvent .
See also: AWS API Documentation
Exceptions
Examples
Lists all the event subscriptions for the assessment template that is specified by the ARN of the assessment template.
Expected Output:
:example: response = client.list_event_subscriptions(
resourceArn='string',
nextToken='string',
maxResults=123
)
:type resourceArn: string
:param resourceArn: The ARN of the assessment template for which you want to list the existing event subscriptions.
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListEventSubscriptions action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'subscriptions': [
{
'resourceArn': 'string',
'topicArn': 'string',
'eventSubscriptions': [
{
'event': 'ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
'subscribedAt': datetime(2015, 1, 1)
},
]
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
subscriptions (list) --
Details of the returned event subscriptions.
(dict) --
This data type is used as a response element in the ListEventSubscriptions action.
resourceArn (string) --
The ARN of the assessment template that is used during the event for which the SNS notification is sent.
topicArn (string) --
The ARN of the Amazon Simple Notification Service (SNS) topic to which the SNS notifications are sent.
eventSubscriptions (list) --
The list of existing event subscriptions.
(dict) --
This data type is used in the Subscription data type.
event (string) --
The event for which Amazon Simple Notification Service (SNS) notifications are sent.
subscribedAt (datetime) --
The time at which SubscribeToEvent is called.
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists all the event subscriptions for the assessment template that is specified by the ARN of the assessment template.
response = client.list_event_subscriptions(
maxResults=123,
resourceArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-7sbz2Kz0',
)
print(response)
Expected Output:
{
'nextToken': '1',
'subscriptions': [
{
'eventSubscriptions': [
{
'event': 'ASSESSMENT_RUN_COMPLETED',
'subscribedAt': datetime(2016, 3, 31, 20, 17, 20, 3, 91, 0),
},
],
'resourceArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-7sbz2Kz0',
'topicArn': 'arn:aws:sns:us-west-2:123456789012:exampletopic',
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'subscriptions': [
{
'resourceArn': 'string',
'topicArn': 'string',
'eventSubscriptions': [
{
'event': 'ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
'subscribedAt': datetime(2015, 1, 1)
},
]
},
],
'nextToken': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
"""
pass
def list_exclusions(assessmentRunArn=None, nextToken=None, maxResults=None):
"""
List exclusions that are generated by the assessment run.
See also: AWS API Documentation
Exceptions
:example: response = client.list_exclusions(
assessmentRunArn='string',
nextToken='string',
maxResults=123
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN of the assessment run that generated the exclusions that you want to list.\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListExclusionsRequest action. Subsequent calls to the action fill nextToken in the request with the value of nextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 100. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'exclusionArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
exclusionArns (list) --
A list of exclusions\' ARNs returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameters is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
:return: {
'exclusionArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_findings(assessmentRunArns=None, filter=None, nextToken=None, maxResults=None):
"""
Lists findings that are generated by the assessment runs that are specified by the ARNs of the assessment runs.
See also: AWS API Documentation
Exceptions
Examples
Lists findings that are generated by the assessment runs that are specified by the ARNs of the assessment runs.
Expected Output:
:example: response = client.list_findings(
assessmentRunArns=[
'string',
],
filter={
'agentIds': [
'string',
],
'autoScalingGroups': [
'string',
],
'ruleNames': [
'string',
],
'severities': [
'Low'|'Medium'|'High'|'Informational'|'Undefined',
],
'rulesPackageArns': [
'string',
],
'attributes': [
{
'key': 'string',
'value': 'string'
},
],
'userAttributes': [
{
'key': 'string',
'value': 'string'
},
],
'creationTimeRange': {
'beginDate': datetime(2015, 1, 1),
'endDate': datetime(2015, 1, 1)
}
},
nextToken='string',
maxResults=123
)
:type assessmentRunArns: list
:param assessmentRunArns: The ARNs of the assessment runs that generate the findings that you want to list.\n\n(string) --\n\n
:type filter: dict
:param filter: You can use this parameter to specify a subset of data to be included in the action\'s response.\nFor a record to match a filter, all specified filter attributes must match. When multiple values are specified for a filter attribute, any of the values can match.\n\nagentIds (list) --For a record to match a filter, one of the values that is specified for this data type property must be the exact match of the value of the agentId property of the Finding data type.\n\n(string) --\n\n\nautoScalingGroups (list) --For a record to match a filter, one of the values that is specified for this data type property must be the exact match of the value of the autoScalingGroup property of the Finding data type.\n\n(string) --\n\n\nruleNames (list) --For a record to match a filter, one of the values that is specified for this data type property must be the exact match of the value of the ruleName property of the Finding data type.\n\n(string) --\n\n\nseverities (list) --For a record to match a filter, one of the values that is specified for this data type property must be the exact match of the value of the severity property of the Finding data type.\n\n(string) --\n\n\nrulesPackageArns (list) --For a record to match a filter, one of the values that is specified for this data type property must be the exact match of the value of the rulesPackageArn property of the Finding data type.\n\n(string) --\n\n\nattributes (list) --For a record to match a filter, the list of values that are specified for this data type property must be contained in the list of values of the attributes property of the Finding data type.\n\n(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.\n\nkey (string) -- [REQUIRED]The attribute key.\n\nvalue (string) --The value assigned to the attribute key.\n\n\n\n\n\nuserAttributes (list) --For a record to match a filter, the value that is specified for this data type property must be contained in the list of values of the userAttributes property of the Finding data type.\n\n(dict) --This data type is used as a request parameter in the AddAttributesToFindings and CreateAssessmentTemplate actions.\n\nkey (string) -- [REQUIRED]The attribute key.\n\nvalue (string) --The value assigned to the attribute key.\n\n\n\n\n\ncreationTimeRange (dict) --The time range during which the finding is generated.\n\nbeginDate (datetime) --The minimum value of the timestamp range.\n\nendDate (datetime) --The maximum value of the timestamp range.\n\n\n\n\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListFindings action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'findingArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
findingArns (list) --
A list of ARNs that specifies the findings returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists findings that are generated by the assessment runs that are specified by the ARNs of the assessment runs.
response = client.list_findings(
assessmentRunArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE',
],
maxResults=123,
)
print(response)
Expected Output:
{
'findingArns': [
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-MKkpXXPE/finding/0-HwPnsDm4',
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-4r1V2mAw/run/0-v5D6fI3v/finding/0-tyvmqBLy',
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'findingArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_rules_packages(nextToken=None, maxResults=None):
"""
Lists all available Amazon Inspector rules packages.
See also: AWS API Documentation
Exceptions
Examples
Lists all available Amazon Inspector rules packages.
Expected Output:
:example: response = client.list_rules_packages(
nextToken='string',
maxResults=123
)
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the ListRulesPackages action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'rulesPackageArns': [
'string',
],
'nextToken': 'string'
}
Response Structure
(dict) --
rulesPackageArns (list) --
The list of ARNs that specifies the rules packages returned by the action.
(string) --
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Examples
Lists all available Amazon Inspector rules packages.
response = client.list_rules_packages(
maxResults=123,
)
print(response)
Expected Output:
{
'nextToken': '1',
'rulesPackageArns': [
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-9hgA516p',
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-H5hpSawc',
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-JJOtZiqQ',
'arn:aws:inspector:us-west-2:758058086616:rulespackage/0-vg5GGHSD',
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'rulesPackageArns': [
'string',
],
'nextToken': 'string'
}
:returns:
(string) --
"""
pass
def list_tags_for_resource(resourceArn=None):
"""
Lists all tags associated with an assessment template.
See also: AWS API Documentation
Exceptions
Examples
Lists all tags associated with an assessment template.
Expected Output:
:example: response = client.list_tags_for_resource(
resourceArn='string'
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN that specifies the assessment template whose tags you want to list.\n
:rtype: dict
ReturnsResponse Syntax{
'tags': [
{
'key': 'string',
'value': 'string'
},
]
}
Response Structure
(dict) --
tags (list) --A collection of key and value pairs.
(dict) --A key and value pair. This data type is used as a request parameter in the SetTagsForResource action and a response element in the ListTagsForResource action.
key (string) --A tag key.
value (string) --A value assigned to a tag key.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Examples
Lists all tags associated with an assessment template.
response = client.list_tags_for_resource(
resourceArn='arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-gcwFliYu',
)
print(response)
Expected Output:
{
'tags': [
{
'key': 'Name',
'value': 'Example',
},
],
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'tags': [
{
'key': 'string',
'value': 'string'
},
]
}
"""
pass
def preview_agents(previewAgentsArn=None, nextToken=None, maxResults=None):
"""
Previews the agents installed on the EC2 instances that are part of the specified assessment target.
See also: AWS API Documentation
Exceptions
Examples
Previews the agents installed on the EC2 instances that are part of the specified assessment target.
Expected Output:
:example: response = client.preview_agents(
previewAgentsArn='string',
nextToken='string',
maxResults=123
)
:type previewAgentsArn: string
:param previewAgentsArn: [REQUIRED]\nThe ARN of the assessment target whose agents you want to preview.\n
:type nextToken: string
:param nextToken: You can use this parameter when paginating results. Set the value of this parameter to null on your first call to the PreviewAgents action. Subsequent calls to the action fill nextToken in the request with the value of NextToken from the previous response to continue listing data.
:type maxResults: integer
:param maxResults: You can use this parameter to indicate the maximum number of items you want in the response. The default value is 10. The maximum value is 500.
:rtype: dict
ReturnsResponse Syntax
{
'agentPreviews': [
{
'hostname': 'string',
'agentId': 'string',
'autoScalingGroup': 'string',
'agentHealth': 'HEALTHY'|'UNHEALTHY'|'UNKNOWN',
'agentVersion': 'string',
'operatingSystem': 'string',
'kernelVersion': 'string',
'ipv4Address': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
agentPreviews (list) --
The resulting list of agents.
(dict) --
Used as a response element in the PreviewAgents action.
hostname (string) --
The hostname of the EC2 instance on which the Amazon Inspector Agent is installed.
agentId (string) --
The ID of the EC2 instance where the agent is installed.
autoScalingGroup (string) --
The Auto Scaling group for the EC2 instance where the agent is installed.
agentHealth (string) --
The health status of the Amazon Inspector Agent.
agentVersion (string) --
The version of the Amazon Inspector Agent.
operatingSystem (string) --
The operating system running on the EC2 instance on which the Amazon Inspector Agent is installed.
kernelVersion (string) --
The kernel version of the operating system running on the EC2 instance on which the Amazon Inspector Agent is installed.
ipv4Address (string) --
The IP address of the EC2 instance on which the Amazon Inspector Agent is installed.
nextToken (string) --
When a response is generated, if there is more data to be listed, this parameter is present in the response and contains the value to use for the nextToken parameter in a subsequent pagination request. If there is no more data to be listed, this parameter is set to null.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
Examples
Previews the agents installed on the EC2 instances that are part of the specified assessment target.
response = client.preview_agents(
maxResults=123,
previewAgentsArn='arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq',
)
print(response)
Expected Output:
{
'agentPreviews': [
{
'agentId': 'i-49113b93',
},
],
'nextToken': '1',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'agentPreviews': [
{
'hostname': 'string',
'agentId': 'string',
'autoScalingGroup': 'string',
'agentHealth': 'HEALTHY'|'UNHEALTHY'|'UNKNOWN',
'agentVersion': 'string',
'operatingSystem': 'string',
'kernelVersion': 'string',
'ipv4Address': 'string'
},
],
'nextToken': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
"""
pass
def register_cross_account_access_role(roleArn=None):
"""
Registers the IAM role that grants Amazon Inspector access to AWS Services needed to perform security assessments.
See also: AWS API Documentation
Exceptions
Examples
Registers the IAM role that Amazon Inspector uses to list your EC2 instances at the start of the assessment run or when you call the PreviewAgents action.
Expected Output:
:example: response = client.register_cross_account_access_role(
roleArn='string'
)
:type roleArn: string
:param roleArn: [REQUIRED]\nThe ARN of the IAM role that grants Amazon Inspector access to AWS Services needed to perform security assessments.\n
:return: response = client.register_cross_account_access_role(
roleArn='arn:aws:iam::123456789012:role/inspector',
)
print(response)
"""
pass
def remove_attributes_from_findings(findingArns=None, attributeKeys=None):
"""
Removes entire attributes (key and value pairs) from the findings that are specified by the ARNs of the findings where an attribute with the specified key exists.
See also: AWS API Documentation
Exceptions
Examples
Removes entire attributes (key and value pairs) from the findings that are specified by the ARNs of the findings where an attribute with the specified key exists.
Expected Output:
:example: response = client.remove_attributes_from_findings(
findingArns=[
'string',
],
attributeKeys=[
'string',
]
)
:type findingArns: list
:param findingArns: [REQUIRED]\nThe ARNs that specify the findings that you want to remove attributes from.\n\n(string) --\n\n
:type attributeKeys: list
:param attributeKeys: [REQUIRED]\nThe array of attribute keys that you want to remove from specified findings.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax
{
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
Response Structure
(dict) --
failedItems (dict) --
Attributes details that cannot be described. An error code is provided for each failed item.
(string) --
(dict) --
Includes details about the failed items.
failureCode (string) --
The status code of a failed item.
retryable (boolean) --
Indicates whether you can immediately retry a request for this item for a specified resource.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Removes entire attributes (key and value pairs) from the findings that are specified by the ARNs of the findings where an attribute with the specified key exists.
response = client.remove_attributes_from_findings(
attributeKeys=[
'key=Example,value=example',
],
findingArns=[
'arn:aws:inspector:us-west-2:123456789012:target/0-0kFIPusq/template/0-8l1VIE0D/run/0-Z02cjjug/finding/0-T8yM9mEU',
],
)
print(response)
Expected Output:
{
'failedItems': {
},
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'failedItems': {
'string': {
'failureCode': 'INVALID_ARN'|'DUPLICATE_ARN'|'ITEM_DOES_NOT_EXIST'|'ACCESS_DENIED'|'LIMIT_EXCEEDED'|'INTERNAL_ERROR',
'retryable': True|False
}
}
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def set_tags_for_resource(resourceArn=None, tags=None):
"""
Sets tags (key and value pairs) to the assessment template that is specified by the ARN of the assessment template.
See also: AWS API Documentation
Exceptions
Examples
Sets tags (key and value pairs) to the assessment template that is specified by the ARN of the assessment template.
Expected Output:
:example: response = client.set_tags_for_resource(
resourceArn='string',
tags=[
{
'key': 'string',
'value': 'string'
},
]
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the assessment template that you want to set tags to.\n
:type tags: list
:param tags: A collection of key and value pairs that you want to set to the assessment template.\n\n(dict) --A key and value pair. This data type is used as a request parameter in the SetTagsForResource action and a response element in the ListTagsForResource action.\n\nkey (string) -- [REQUIRED]A tag key.\n\nvalue (string) --A value assigned to a tag key.\n\n\n\n\n
:return: response = client.set_tags_for_resource(
resourceArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-7sbz2Kz0',
tags=[
{
'key': 'Example',
'value': 'example',
},
],
)
print(response)
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def start_assessment_run(assessmentTemplateArn=None, assessmentRunName=None):
"""
Starts the assessment run specified by the ARN of the assessment template. For this API to function properly, you must not exceed the limit of running up to 500 concurrent agents per AWS account.
See also: AWS API Documentation
Exceptions
Examples
Starts the assessment run specified by the ARN of the assessment template. For this API to function properly, you must not exceed the limit of running up to 500 concurrent agents per AWS account.
Expected Output:
:example: response = client.start_assessment_run(
assessmentTemplateArn='string',
assessmentRunName='string'
)
:type assessmentTemplateArn: string
:param assessmentTemplateArn: [REQUIRED]\nThe ARN of the assessment template of the assessment run that you want to start.\n
:type assessmentRunName: string
:param assessmentRunName: You can specify the name for the assessment run. The name must be unique for the assessment template whose ARN is used to start the assessment run.
:rtype: dict
ReturnsResponse Syntax
{
'assessmentRunArn': 'string'
}
Response Structure
(dict) --
assessmentRunArn (string) --
The ARN of the assessment run that has been started.
Exceptions
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
Inspector.Client.exceptions.AgentsAlreadyRunningAssessmentException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
Examples
Starts the assessment run specified by the ARN of the assessment template. For this API to function properly, you must not exceed the limit of running up to 500 concurrent agents per AWS account.
response = client.start_assessment_run(
assessmentRunName='examplerun',
assessmentTemplateArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T',
)
print(response)
Expected Output:
{
'assessmentRunArn': 'arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T/run/0-jOoroxyY',
'ResponseMetadata': {
'...': '...',
},
}
:return: {
'assessmentRunArn': 'string'
}
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.InvalidCrossAccountRoleException
Inspector.Client.exceptions.AgentsAlreadyRunningAssessmentException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def stop_assessment_run(assessmentRunArn=None, stopAction=None):
"""
Stops the assessment run that is specified by the ARN of the assessment run.
See also: AWS API Documentation
Exceptions
Examples
Stops the assessment run that is specified by the ARN of the assessment run.
Expected Output:
:example: response = client.stop_assessment_run(
assessmentRunArn='string',
stopAction='START_EVALUATION'|'SKIP_EVALUATION'
)
:type assessmentRunArn: string
:param assessmentRunArn: [REQUIRED]\nThe ARN of the assessment run that you want to stop.\n
:type stopAction: string
:param stopAction: An input option that can be set to either START_EVALUATION or SKIP_EVALUATION. START_EVALUATION (the default value), stops the AWS agent from collecting data and begins the results evaluation and the findings generation process. SKIP_EVALUATION cancels the assessment run immediately, after which no findings are generated.
:return: response = client.stop_assessment_run(
assessmentRunArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-it5r2S4T/run/0-11LMTAVe',
)
print(response)
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def subscribe_to_event(resourceArn=None, event=None, topicArn=None):
"""
Enables the process of sending Amazon Simple Notification Service (SNS) notifications about a specified event to a specified SNS topic.
See also: AWS API Documentation
Exceptions
Examples
Enables the process of sending Amazon Simple Notification Service (SNS) notifications about a specified event to a specified SNS topic.
Expected Output:
:example: response = client.subscribe_to_event(
resourceArn='string',
event='ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
topicArn='string'
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the assessment template that is used during the event for which you want to receive SNS notifications.\n
:type event: string
:param event: [REQUIRED]\nThe event for which you want to receive SNS notifications.\n
:type topicArn: string
:param topicArn: [REQUIRED]\nThe ARN of the SNS topic to which the SNS notifications are sent.\n
:return: response = client.subscribe_to_event(
event='ASSESSMENT_RUN_COMPLETED',
resourceArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-7sbz2Kz0',
topicArn='arn:aws:sns:us-west-2:123456789012:exampletopic',
)
print(response)
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.LimitExceededException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def unsubscribe_from_event(resourceArn=None, event=None, topicArn=None):
"""
Disables the process of sending Amazon Simple Notification Service (SNS) notifications about a specified event to a specified SNS topic.
See also: AWS API Documentation
Exceptions
Examples
Disables the process of sending Amazon Simple Notification Service (SNS) notifications about a specified event to a specified SNS topic.
Expected Output:
:example: response = client.unsubscribe_from_event(
resourceArn='string',
event='ASSESSMENT_RUN_STARTED'|'ASSESSMENT_RUN_COMPLETED'|'ASSESSMENT_RUN_STATE_CHANGED'|'FINDING_REPORTED'|'OTHER',
topicArn='string'
)
:type resourceArn: string
:param resourceArn: [REQUIRED]\nThe ARN of the assessment template that is used during the event for which you want to stop receiving SNS notifications.\n
:type event: string
:param event: [REQUIRED]\nThe event for which you want to stop receiving SNS notifications.\n
:type topicArn: string
:param topicArn: [REQUIRED]\nThe ARN of the SNS topic to which SNS notifications are sent.\n
:return: response = client.unsubscribe_from_event(
event='ASSESSMENT_RUN_COMPLETED',
resourceArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX/template/0-7sbz2Kz0',
topicArn='arn:aws:sns:us-west-2:123456789012:exampletopic',
)
print(response)
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
def update_assessment_target(assessmentTargetArn=None, assessmentTargetName=None, resourceGroupArn=None):
"""
Updates the assessment target that is specified by the ARN of the assessment target.
If resourceGroupArn is not specified, all EC2 instances in the current AWS account and region are included in the assessment target.
See also: AWS API Documentation
Exceptions
Examples
Updates the assessment target that is specified by the ARN of the assessment target.
Expected Output:
:example: response = client.update_assessment_target(
assessmentTargetArn='string',
assessmentTargetName='string',
resourceGroupArn='string'
)
:type assessmentTargetArn: string
:param assessmentTargetArn: [REQUIRED]\nThe ARN of the assessment target that you want to update.\n
:type assessmentTargetName: string
:param assessmentTargetName: [REQUIRED]\nThe name of the assessment target that you want to update.\n
:type resourceGroupArn: string
:param resourceGroupArn: The ARN of the resource group that is used to specify the new resource group to associate with the assessment target.
:return: response = client.update_assessment_target(
assessmentTargetArn='arn:aws:inspector:us-west-2:123456789012:target/0-nvgVhaxX',
assessmentTargetName='Example',
resourceGroupArn='arn:aws:inspector:us-west-2:123456789012:resourcegroup/0-yNbgL5Pt',
)
print(response)
:returns:
Inspector.Client.exceptions.InternalException
Inspector.Client.exceptions.InvalidInputException
Inspector.Client.exceptions.AccessDeniedException
Inspector.Client.exceptions.NoSuchEntityException
Inspector.Client.exceptions.ServiceTemporarilyUnavailableException
"""
pass
| 30.715707 | 2,598 | 0.641974 | 15,315 | 145,101 | 6.043748 | 0.059092 | 0.012911 | 0.054019 | 0.010836 | 0.830337 | 0.793129 | 0.758124 | 0.721986 | 0.702625 | 0.674838 | 0 | 0.022075 | 0.269771 | 145,101 | 4,723 | 2,599 | 30.72221 | 0.851487 | 0.971475 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 10 |
f18af5f19d5e99598f7e907eca3b371447134081 | 121 | py | Python | torchcv/__init__.py | CVHj/torchcv | 6291f3e1e4bbf6467fd6b1e79001d34a59481bb6 | [
"MIT"
] | 433 | 2017-11-30T15:46:58.000Z | 2022-01-16T08:06:11.000Z | torchcv/__init__.py | CVHj/torchcv | 6291f3e1e4bbf6467fd6b1e79001d34a59481bb6 | [
"MIT"
] | 51 | 2018-01-29T15:14:33.000Z | 2021-08-23T12:02:18.000Z | fpn-hoi/torchcv/__init__.py | TheFairBear/Box-Attention-SSD-HOI | 6101e209a709899c5645342784c8f451028ff46e | [
"MIT"
] | 92 | 2018-01-20T07:45:36.000Z | 2021-05-28T10:43:53.000Z | from torchcv import utils
from torchcv import datasets
from torchcv import transforms
from torchcv import visualizations
| 24.2 | 34 | 0.867769 | 16 | 121 | 6.5625 | 0.4375 | 0.419048 | 0.647619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132231 | 121 | 4 | 35 | 30.25 | 1 | 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 |
74e44d5cf3b97de9b13fae29819af8797196248f | 17,715 | py | Python | stix2generator/test/test_object_generator_object.py | majacQ/cti-stix-generator | 7465ecd29ef6caabf9f1b60ad45dad789c475028 | [
"BSD-3-Clause"
] | 20 | 2020-12-10T18:16:28.000Z | 2022-02-20T19:30:53.000Z | stix2generator/test/test_object_generator_object.py | majacQ/cti-stix-generator | 7465ecd29ef6caabf9f1b60ad45dad789c475028 | [
"BSD-3-Clause"
] | 26 | 2021-01-13T23:32:19.000Z | 2022-03-29T06:47:02.000Z | stix2generator/test/test_object_generator_object.py | majacQ/cti-stix-generator | 7465ecd29ef6caabf9f1b60ad45dad789c475028 | [
"BSD-3-Clause"
] | 8 | 2020-12-14T23:10:16.000Z | 2021-12-06T13:07:24.000Z | import pytest
import stix2generator.exceptions
def test_object(object_generator):
value = object_generator.generate_from_spec({
"type": "object",
"properties": {
"a": 1,
"b": 2
}
})
assert isinstance(value, dict)
assert "a" in value
assert "b" in value
assert value == {"a": 1, "b": 2}
def test_object_optional_props(object_generator, num_trials):
for _ in range(num_trials):
# test with "optional"
value = object_generator.generate_from_spec({
"type": "object",
"optional": ["b"],
"properties": {
"a": 1,
"b": 2
}
})
assert "a" in value
assert all(prop_name in ("a", "b") for prop_name in value)
# test with "required"
value = object_generator.generate_from_spec({
"type": "object",
"required": ["a"],
"properties": {
"a": 1,
"b": 2
}
})
assert "a" in value
assert all(prop_name in ("a", "b") for prop_name in value)
def test_object_presence_coconstraint_one_required(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"]
},
"required": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# exactly one of "a" and "b" must be there
assert "a" in value or "b" in value
assert not ("a" in value and "b" in value)
def test_object_presence_coconstraint_one_optional(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"]
},
"optional": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# only "a", only "b", or no properties at all should be there
assert ("a" in value and "b" not in value) or \
("a" not in value and "b" in value) or \
not value
def test_object_presence_coconstraint_at_least_one_required(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"at-least-one": ["group-a"]
},
"required": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# one or both of "a" and "b" must be there
assert "a" in value or "b" in value
def test_object_presence_coconstraint_at_least_one_optional(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"at-least-one": ["group-a"]
},
"optional": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# silly case: both, either, or neither of "a" and "b" can be present,
# same as making them all optional. Shouldn't write a spec like this,
# it's overly complicated.
assert all(prop_name in ("a", "b") for prop_name in value)
def test_object_presence_coconstraint_all_required(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"all": ["group-a"]
},
"required": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# silly case: all properties in group-a are required, same as if they
# were all individually declared to be required. Shouldn't write a
# spec like this, it's overly complicated.
assert "a" in value and "b" in value
def test_object_presence_coconstraint_all_optional(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"all": ["group-a"]
},
"optional": ["group-a"],
"properties": {
"a": 1,
"b": 2
}
})
# both or neither of "a" and "b" must be there.
assert ("a" in value and "b" in value) or not value
def test_object_presence_coconstraint_dependencies_props(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"dependencies": {
"a": ["b", "c"]
}
},
"optional": ["a", "b", "c"],
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
# If "a" is present, "b" and "c" must be present. If "a" is not
# present, "b" and "c" may or may not be present (since they're
# declared optional).
if "a" in value:
assert "b" in value and "c" in value
else:
assert all(prop_name in ("b", "c") for prop_name in value)
def test_object_presence_coconstraint_dependencies_group_key(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"],
"dependencies": {
"group-a": ["c"]
}
},
"optional": ["group-a", "c"],
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
# If "a" or "b" are present, then "c" must also be present. If neither
# "a" nor "b" are present, "c" may or may not be present (since it's
# declared optional).
if "a" in value or "b" in value:
assert "c" in value
else:
assert "c" in value or not value
def test_object_presence_coconstraint_dependencies_group_value(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"],
"dependencies": {
"c": ["group-a"]
}
},
"optional": ["group-a", "c"],
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
# If "c" is present, then exactly one of "a" or "b" must be present.
# If "c" is not present, then exactly one or neither of "a" and "b"
# must be present (since group-a is declared optional).
if "c" in value:
assert "a" in value or "b" in value
else:
assert "a" in value or "b" in value or not value
def test_object_presence_coconstraint_dependencies_group_key_and_value(
object_generator, num_trials
):
for _ in range(num_trials):
value = object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"],
"group-b": ["c", "d"]
},
"one": ["group-a"],
"all": ["group-b"],
"dependencies": {
"group-a": ["group-b"]
}
},
"optional": ["group-a", "group-b"],
"properties": {
"a": 1,
"b": 2,
"c": 3,
"d": 4
}
})
# If exactly one of "a" or "b" is present, then both of "c" and "d"
# must be present. If neither "a" nor "b" is present, then neither or
# both of "c" and "d" may be present.
if "a" in value or "b" in value:
assert "c" in value and "d" in value
else:
assert ("c" in value and "d" in value) or not value
def test_object_presence_coconstraint_errors1(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
# refer to undefined property in group
"group-a": ["a", "c"]
},
"one": ["group-a"]
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors2(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
# refer to undefined group in co-constraint
"one": ["group-b"]
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors3(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"dependencies": {
# refer to undefined property as value
"a": ["b", "c"]
}
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors4(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"dependencies": {
# refer to undefined property as key
"c": ["a", "b"]
}
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors5(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"],
"dependencies": {
# refer to undefined group as value
"c": ["group-b"]
}
},
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
def test_object_presence_coconstraint_errors6(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"],
"dependencies": {
# refer to undefined group as key
"group-b": ["c"]
}
},
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
def test_object_presence_coconstraint_errors7(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
}
# group-a is missing its constraint
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors8(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"],
# groups can't overlap
"group-b": ["b", "c"]
},
"one": ["group-a", "group-b"]
},
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
def test_object_presence_coconstraint_errors9(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"],
"dependencies": {
# can't directly refer to grouped properties
"a": ["group-a"]
}
},
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors10(object_generator):
with pytest.raises(stix2generator.exceptions.ObjectGenerationError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
"group-a": ["a", "b"]
},
"one": ["group-a"]
},
# can't directly refer to grouped properties
"required": ["a"],
"properties": {
"a": 1,
"b": 2
}
})
def test_object_presence_coconstraint_errors11(object_generator):
with pytest.raises(stix2generator.exceptions.PresenceCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
"presence-coconstraints": {
"property-groups": {
# can't name a group the same as a property
"a": ["b", "c"]
},
"one": ["a"]
},
"properties": {
"a": 1,
"b": 2,
"c": 3
}
})
def test_object_value_coconstraint(object_generator):
object_generator.generate_from_spec({
"type": "object",
# Value co-constraints currently only used in certain semantics;
# they will be ignored in this spec. Just check for errors.
"value-coconstraints": [
"a < b",
"a <= b",
"a > b",
"a >= b",
"a = b",
"a != b"
],
"properties": {
"a": 1,
"b": 2
}
})
def test_object_value_coconstraint_bad_operator(object_generator):
with pytest.raises(stix2generator.exceptions.ValueCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
# invalid operator
"value-coconstraints": ["a $ b"],
"properties": {
"a": 1,
"b": 2
}
})
def test_object_value_coconstraint_bad_property(object_generator):
with pytest.raises(stix2generator.exceptions.ValueCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
# undefined property name
"value-coconstraints": ["a = x"],
"properties": {
"a": 1,
"b": 2
}
})
def test_object_value_coconstraint_self_relation(object_generator):
with pytest.raises(stix2generator.exceptions.ValueCoconstraintError):
object_generator.generate_from_spec({
"type": "object",
# can't relate a prop to itself
"value-coconstraints": ["a = a"],
"properties": {
"a": 1,
"b": 2
}
})
| 30.025424 | 79 | 0.462659 | 1,654 | 17,715 | 4.787787 | 0.08283 | 0.10418 | 0.010986 | 0.014648 | 0.841268 | 0.830913 | 0.815886 | 0.776487 | 0.734689 | 0.723197 | 0 | 0.009152 | 0.414056 | 17,715 | 589 | 80 | 30.076401 | 0.753757 | 0.102681 | 0 | 0.678497 | 1 | 0 | 0.1421 | 0.029139 | 0 | 0 | 0 | 0 | 0.048017 | 1 | 0.056367 | false | 0 | 0.004175 | 0 | 0.060543 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
74ecb60517d69b00132d5b836206827fe4b86da3 | 114 | py | Python | nodenet/python/nodenet/io/__init__.py | NOOXY-research/NodeNet | 8bf7e0c2fd0e4fae4a51b2900014004728f3c935 | [
"Apache-2.0"
] | 2 | 2018-01-31T05:52:23.000Z | 2020-08-07T19:14:18.000Z | nodenet/python/nodenet/io/__init__.py | NOOXY-research/NodeNet | 8bf7e0c2fd0e4fae4a51b2900014004728f3c935 | [
"Apache-2.0"
] | 1 | 2017-11-22T09:39:50.000Z | 2017-11-22T09:39:50.000Z | nodenet/python/nodenet/io/__init__.py | magneticchen/NodeNet | 8bf7e0c2fd0e4fae4a51b2900014004728f3c935 | [
"Apache-2.0"
] | null | null | null | # Create alias
from nodenet.io.commons import *
from nodenet.io.neuralnet import *
from nodenet.io.data import *
| 19 | 34 | 0.77193 | 17 | 114 | 5.176471 | 0.529412 | 0.375 | 0.443182 | 0.431818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.140351 | 114 | 5 | 35 | 22.8 | 0.897959 | 0.105263 | 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 |
7434c0d89d3d4e87b0dda3fb035edd974df54882 | 3,292 | py | Python | test/pyaz/cdn/custom_domain/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | test/pyaz/cdn/custom_domain/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | 9 | 2021-09-24T16:37:24.000Z | 2021-12-24T00:39:19.000Z | test/pyaz/cdn/custom_domain/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def show(resource_group, profile_name, endpoint_name, name):
params = get_params(locals())
command = "az cdn custom-domain show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def delete(resource_group, profile_name, endpoint_name, name):
params = get_params(locals())
command = "az cdn custom-domain delete " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def list(resource_group, profile_name, endpoint_name):
params = get_params(locals())
command = "az cdn custom-domain list " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def create(resource_group, profile_name, endpoint_name, name, hostname, location=None, tags=None):
params = get_params(locals())
command = "az cdn custom-domain create " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def enable_https(resource_group, profile_name, endpoint_name, name, user_cert_subscription_id=None, user_cert_group_name=None, user_cert_vault_name=None, user_cert_secret_name=None, user_cert_secret_version=None, user_cert_protocol_type=None, min_tls_version=None):
params = get_params(locals())
command = "az cdn custom-domain enable-https " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def disable_https(resource_group, profile_name, endpoint_name, name):
params = get_params(locals())
command = "az cdn custom-domain disable-https " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
| 37.409091 | 265 | 0.68226 | 414 | 3,292 | 5.304348 | 0.144928 | 0.076503 | 0.054645 | 0.065574 | 0.882058 | 0.862022 | 0.84745 | 0.829235 | 0.806466 | 0.806466 | 0 | 0.004592 | 0.206258 | 3,292 | 87 | 266 | 37.83908 | 0.835821 | 0 | 0 | 0.825 | 0 | 0 | 0.071993 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.025 | 0 | 0.175 | 0.225 | 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 |
746350c85cfdd1ca0b93081ee46de9756e432473 | 20 | py | Python | src/Second Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | src/Second Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | src/Second Chapter/Exercise2.py | matthijskrul/ThinkPython | 34c1d81f4ef535c32b8b0309b23c7ca37f851606 | [
"MIT"
] | null | null | null | 6 * (1-2)
#6 * (1-2) | 10 | 10 | 0.3 | 6 | 20 | 1 | 0.5 | 0.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 0.25 | 20 | 2 | 10 | 10 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 1 | 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 | 0 | 0 | 9 |
746aa01bcaf30ec22c5ccc1f86c10e78426b6911 | 155 | py | Python | tests/test_utils.py | Justin-Xiang/wdapy | 7a5ac41df1c4226483b4291c02c38f693018db73 | [
"MIT"
] | 7 | 2021-08-30T02:54:25.000Z | 2022-03-14T06:24:58.000Z | tests/test_utils.py | Justin-Xiang/wdapy | 7a5ac41df1c4226483b4291c02c38f693018db73 | [
"MIT"
] | 5 | 2021-09-09T09:59:32.000Z | 2022-01-14T06:39:23.000Z | tests/test_utils.py | Justin-Xiang/wdapy | 7a5ac41df1c4226483b4291c02c38f693018db73 | [
"MIT"
] | 2 | 2021-09-07T08:23:58.000Z | 2021-12-30T11:24:59.000Z | # coding: utf-8
#
from wdapy._utils import camel_to_snake
def test_camel_to_snake():
assert "this_is_my_string" == camel_to_snake("ThisIsMyString")
| 17.222222 | 66 | 0.76129 | 24 | 155 | 4.458333 | 0.75 | 0.196262 | 0.336449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007463 | 0.135484 | 155 | 8 | 67 | 19.375 | 0.791045 | 0.083871 | 0 | 0 | 0 | 0 | 0.223022 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 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 | 1 | 0 | 1 | 0 | 0 | 7 |
74a5b27ee0f22488b726781f6b3028694d59b8f7 | 6,879 | py | Python | geonode/geonode/tests/test_rest_api.py | ttungbmt/BecaGIS_GeoPortal | 6c05f9fc020ec4ccf600ba2503a06c2231443920 | [
"MIT"
] | null | null | null | geonode/geonode/tests/test_rest_api.py | ttungbmt/BecaGIS_GeoPortal | 6c05f9fc020ec4ccf600ba2503a06c2231443920 | [
"MIT"
] | null | null | null | geonode/geonode/tests/test_rest_api.py | ttungbmt/BecaGIS_GeoPortal | 6c05f9fc020ec4ccf600ba2503a06c2231443920 | [
"MIT"
] | null | null | null | #########################################################################
#
# Copyright (C) 2020 OSGeo
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#########################################################################
from unittest.mock import patch, MagicMock
from django.contrib.auth.models import AnonymousUser, Group
from geonode.api.authorization import GroupAuthorization, GroupProfileAuthorization
from geonode.groups.models import GroupProfile
from geonode.people.models import Profile
from geonode.tests.base import GeoNodeBaseTestSupport
class TestGroupResAuthorization(GeoNodeBaseTestSupport):
# Group fixture is loaded in base class
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list',
return_value=Group.objects.exclude(name='anonymous'))
def test_super_admin_user(self, super_mock):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test', is_staff=True, is_superuser=True)
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupAuthorization().read_list([], mock_bundle)
self.assertEqual(Group.objects.exclude(name='anonymous').count(), groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list',
return_value=Group.objects.exclude(name='anonymous'))
@patch('geonode.people.models.Profile.group_list_all', return_value=[2])
def test_regular_user_hide_private(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test')
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(1, groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list',
return_value=Group.objects.exclude(name='anonymous'))
@patch('geonode.people.models.Profile.group_list_all', return_value=[1])
def test_regular_user(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test')
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(2, groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list',
return_value=Group.objects.exclude(name='anonymous'))
@patch('geonode.people.models.Profile.group_list_all', return_value=[1])
def test_anonymous_user(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': AnonymousUser()
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(1, groups.count())
class TestGroupProfileResAuthorization(GeoNodeBaseTestSupport):
# Group fixture is loaded in base class
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list', return_value=GroupProfile.objects.all())
def test_super_admin_user(self, super_mock):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test', is_staff=True, is_superuser=True)
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupProfileAuthorization().read_list([], mock_bundle)
self.assertEqual(GroupProfile.objects.all().count(), groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list', return_value=GroupProfile.objects.all())
@patch('geonode.people.models.Profile.group_list_all', return_value=[2])
def test_regular_user_hide_private(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test')
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupProfileAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(1, groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list', return_value=GroupProfile.objects.all())
@patch('geonode.people.models.Profile.group_list_all', return_value=[1])
def test_regular_user(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': Profile(username='test')
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupProfileAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(2, groups.count())
@patch('geonode.api.authorization.ApiLockdownAuthorization.read_list', return_value=GroupProfile.objects.all())
@patch('geonode.people.models.Profile.group_list_all', return_value=[1])
def test_anonymous_user(self, super_mock, mocked_profile):
mock_bundle = MagicMock()
request_mock = MagicMock()
r_attr = {
'user': AnonymousUser()
}
attrs = {
'request': request_mock
}
request_mock.configure_mock(**r_attr)
mock_bundle.configure_mock(**attrs)
groups = GroupProfileAuthorization().read_list(['not_empty_but_fake'], mock_bundle)
self.assertEqual(1, groups.count())
| 39.763006 | 115 | 0.663759 | 755 | 6,879 | 5.809272 | 0.177483 | 0.05472 | 0.047196 | 0.051072 | 0.817601 | 0.804378 | 0.78021 | 0.78021 | 0.78021 | 0.78021 | 0 | 0.003121 | 0.20817 | 6,879 | 172 | 116 | 39.994186 | 0.802093 | 0.102922 | 0 | 0.784615 | 0 | 0 | 0.167999 | 0.123876 | 0 | 0 | 0 | 0 | 0.061538 | 1 | 0.061538 | false | 0 | 0.046154 | 0 | 0.123077 | 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 |
7accded58736a8b95e657e9e3cfdf21158b76e9c | 95 | py | Python | src/sage/groups/additive_abelian/all.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | 5 | 2015-01-04T07:15:06.000Z | 2022-03-04T15:15:18.000Z | src/sage/groups/additive_abelian/all.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | null | null | null | src/sage/groups/additive_abelian/all.py | switzel/sage | 7eb8510dacf61b691664cd8f1d2e75e5d473e5a0 | [
"BSL-1.0"
] | 10 | 2016-09-28T13:12:40.000Z | 2022-02-12T09:28:34.000Z | from additive_abelian_group import AdditiveAbelianGroup
from additive_abelian_wrapper import *
| 31.666667 | 55 | 0.905263 | 11 | 95 | 7.454545 | 0.636364 | 0.292683 | 0.463415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084211 | 95 | 2 | 56 | 47.5 | 0.942529 | 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 |
7ae5212139957b530a4a0daaba4582fec8fbf5d8 | 15,136 | py | Python | restclients/test/util/date_formator.py | uw-it-cte/uw-restclients | 2b09348bf066e5508304401f93f281805e965af5 | [
"Apache-2.0"
] | null | null | null | restclients/test/util/date_formator.py | uw-it-cte/uw-restclients | 2b09348bf066e5508304401f93f281805e965af5 | [
"Apache-2.0"
] | null | null | null | restclients/test/util/date_formator.py | uw-it-cte/uw-restclients | 2b09348bf066e5508304401f93f281805e965af5 | [
"Apache-2.0"
] | null | null | null | from django.test import TestCase
from datetime import date, datetime, timedelta
from restclients.util.date_formator import full_month_date_str
from restclients.util.date_formator import abbr_month_date_time_str
from restclients.util.date_formator import abbr_week_month_day_str
from restclients.util.date_formator import last_midnight, time_str, is_today
from restclients.util.date_formator import is_days_ago, get_past_weeks_count
from restclients.util.date_formator import get_past_months_count
from restclients.util.date_formator import get_past_years_count
from restclients.util.date_formator import past_datetime_str
class FormatorTest(TestCase):
def test_full_month_date_str(self):
self.assertEquals(full_month_date_str(date(2014, 7, 4)),
'July 4, 2014')
self.assertEquals(full_month_date_str(date(2014, 6, 12)),
'June 12, 2014')
def test_time_str(self):
self.assertEquals(time_str(datetime(2014, 7, 4, 0, 0)), '12:00 AM')
self.assertEquals(time_str(datetime(2014, 7, 4, 3, 3)), '3:03 AM')
self.assertEquals(time_str(datetime(2014, 7, 4, 12, 0)), '12:00 PM')
self.assertEquals(time_str(datetime(2014, 7, 4, 13, 3)), '1:03 PM')
self.assertEquals(time_str(datetime(2014, 7, 4, 23, 59)), '11:59 PM')
def test_abbr_month_date_time_str(self):
self.assertEquals(abbr_month_date_time_str(datetime(2014, 7, 4, 3, 3)),
'Jul 4, 2014 at 3:03 AM')
self.assertEquals(abbr_month_date_time_str(datetime(2014, 6, 12, 17, 55)),
'Jun 12, 2014 at 5:55 PM')
def test_abbr_week_month_day_str(self):
self.assertEquals(abbr_week_month_day_str(datetime(2014, 7, 4)),
'Fri, Jul 4')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 12)),
'Thu, Jun 12')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 14)),
'Sat, Jun 14')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 15)),
'Sun, Jun 15')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 16)),
'Mon, Jun 16')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 17)),
'Tue, Jun 17')
self.assertEquals(abbr_week_month_day_str(datetime(2014, 6, 18)),
'Wed, Jun 18')
def test_last_midnight(self):
now = datetime.now()
self.assertEquals(last_midnight(),
datetime(now.year, now.month, now.day, 0, 0, 0, 0))
def test_is_today(self):
now = datetime.now()
self.assertTrue(is_today(now))
self.assertTrue(is_today(last_midnight()))
self.assertTrue(is_today(last_midnight()+timedelta(seconds=1)))
self.assertFalse(is_today(last_midnight()-timedelta(seconds=1)))
self.assertFalse(is_today(now-timedelta(days=1)))
def test_is_yesterday(self):
now = datetime.now()
self.assertFalse(is_days_ago(last_midnight()+timedelta(seconds=1), 1))
self.assertTrue(is_days_ago(last_midnight(), 1))
self.assertTrue(is_days_ago(now-timedelta(days=1), 1))
self.assertTrue(
is_days_ago(last_midnight()-timedelta(days=1)+timedelta(seconds=1), 1))
self.assertTrue(is_days_ago(last_midnight()-timedelta(days=1), 1))
self.assertFalse(
is_days_ago(last_midnight()-timedelta(days=1)-timedelta(seconds=1), 1))
self.assertFalse(is_days_ago(now-timedelta(days=2), 1))
def test_is_days_ago(self):
now = datetime.now()
self.assertTrue(is_days_ago(last_midnight()-timedelta(days=1), 2))
self.assertTrue(
is_days_ago(last_midnight()-timedelta(days=1)-timedelta(seconds=1), 2))
self.assertTrue(is_days_ago(now-timedelta(days=2), 2))
self.assertTrue(is_days_ago(last_midnight()-timedelta(days=2), 2))
self.assertFalse(
is_days_ago(last_midnight()-timedelta(days=2)-timedelta(seconds=1), 2))
self.assertTrue(is_days_ago(now-timedelta(days=3), 3))
self.assertTrue(is_days_ago(now-timedelta(days=4), 4))
self.assertTrue(is_days_ago(now-timedelta(days=5), 5))
self.assertTrue(is_days_ago(now-timedelta(days=6), 6))
def test_is_a_week_ago(self):
now = datetime.now()
self.assertFalse(
is_days_ago(last_midnight()-timedelta(days=6)+timedelta(seconds=1),7))
self.assertTrue(is_days_ago(last_midnight()-timedelta(days=6),7))
self.assertTrue(
is_days_ago(last_midnight()-timedelta(days=7)+timedelta(seconds=1),7))
self.assertTrue(is_days_ago(now-timedelta(weeks=1),7))
self.assertTrue(is_days_ago(now-timedelta(days=7),7))
self.assertFalse(
is_days_ago(last_midnight()-timedelta(days=7)-timedelta(seconds=1),7))
self.assertFalse(is_days_ago(now-timedelta(days=8),7))
def test_is_over_1_week_ago(self):
now = datetime.now()
self.assertFalse(
get_past_weeks_count(now-timedelta(days=7))==1)
self.assertFalse(
get_past_weeks_count(
last_midnight()-timedelta(days=7)+timedelta(seconds=1))==1)
self.assertTrue(
get_past_weeks_count(last_midnight()-timedelta(days=7))==1)
self.assertTrue(get_past_weeks_count(now-timedelta(days=8))==1)
self.assertTrue(get_past_weeks_count(now-timedelta(days=14))==1)
self.assertTrue(
get_past_weeks_count(
last_midnight()-timedelta(days=14)+timedelta(seconds=1))==1)
self.assertFalse(
get_past_weeks_count(last_midnight()-timedelta(days=14))==1)
self.assertFalse(get_past_weeks_count(now-timedelta(days=15))==1)
def test_is_over_2_weeks_ago(self):
now = datetime.now()
self.assertFalse(get_past_weeks_count(now-timedelta(days=14))==2)
self.assertTrue(get_past_weeks_count(last_midnight()-timedelta(days=14))==2)
self.assertTrue(get_past_weeks_count(now-timedelta(days=15))==2)
self.assertTrue(
get_past_weeks_count(
last_midnight()-timedelta(days=21)+timedelta(seconds=1))==2)
self.assertTrue(get_past_weeks_count(now-timedelta(days=21))==2)
self.assertTrue(
get_past_weeks_count(
last_midnight()-timedelta(days=21)+timedelta(seconds=1))==2)
self.assertFalse(
get_past_weeks_count(last_midnight()-timedelta(days=21))==2)
self.assertFalse(get_past_weeks_count(now-timedelta(days=22))==2)
def test_is_over_3_weeks_ago(self):
now = datetime.now()
self.assertFalse(get_past_weeks_count(now-timedelta(days=21))==3)
self.assertTrue(get_past_weeks_count(last_midnight()-timedelta(days=21))==3)
self.assertTrue(get_past_weeks_count(now-timedelta(days=22))==3)
self.assertTrue(get_past_weeks_count(now-timedelta(days=27))==3)
self.assertTrue(get_past_weeks_count(now-timedelta(days=28))==3)
self.assertTrue(
get_past_weeks_count(
last_midnight()-timedelta(days=28)+timedelta(seconds=1))==3)
self.assertFalse(
get_past_weeks_count(last_midnight()-timedelta(days=28))==3)
self.assertFalse(get_past_weeks_count(now-timedelta(days=29))==3)
def test_is_over_1_month_ago(self):
now = datetime.now()
self.assertFalse(
get_past_months_count(
last_midnight()-timedelta(days=28)+timedelta(seconds=1))==1)
self.assertTrue(get_past_months_count(last_midnight()-timedelta(days=28))==1)
self.assertTrue(get_past_months_count(now-timedelta(days=29))==1)
self.assertTrue(get_past_months_count(now-timedelta(days=56))==1)
self.assertTrue(
get_past_months_count(
last_midnight()-timedelta(days=56)+timedelta(seconds=1))==1)
self.assertFalse(
get_past_months_count(last_midnight()-timedelta(days=56))==1)
self.assertFalse(get_past_months_count(now-timedelta(days=57))==1)
def test_is_over_2_months_ago(self):
now = datetime.now()
self.assertFalse(
get_past_months_count(
last_midnight()-timedelta(days=56)+timedelta(seconds=1))==2)
self.assertTrue(
get_past_months_count(last_midnight()-timedelta(days=56))==2)
self.assertTrue(get_past_months_count(now-timedelta(days=57))==2)
self.assertTrue(get_past_months_count(now-timedelta(days=84))==2)
self.assertTrue(
get_past_months_count(
last_midnight()-timedelta(days=84)+timedelta(seconds=1))==2)
self.assertFalse(
get_past_months_count(last_midnight()-timedelta(weeks=12))==2)
self.assertFalse(get_past_months_count(now-timedelta(days=85))==2)
def test_is_over_3_months_ago(self):
now = datetime.now()
self.assertFalse(get_past_months_count(now-timedelta(days=84))==3)
self.assertFalse(
get_past_months_count(
last_midnight()-timedelta(days=84)+timedelta(seconds=1))==3)
self.assertTrue(get_past_months_count(last_midnight()-timedelta(days=84))==3)
self.assertTrue(get_past_months_count(now-timedelta(days=85))==3)
self.assertTrue(get_past_months_count(now-timedelta(days=112))==3)
self.assertTrue(
get_past_months_count(
last_midnight()-timedelta(days=112)+timedelta(seconds=1))==3)
self.assertFalse(get_past_months_count(last_midnight()-timedelta(days=112))==3)
self.assertFalse(get_past_months_count(now-timedelta(days=113))==3)
def test_is_over_1_year_ago(self):
now = datetime.now()
self.assertFalse(get_past_years_count(now-timedelta(days=365))==1)
self.assertTrue(get_past_years_count(last_midnight()-timedelta(days=365))==1)
self.assertTrue(get_past_years_count(now-timedelta(days=366))==1)
self.assertTrue(get_past_years_count(now-timedelta(days=365*2))==1)
self.assertTrue(get_past_years_count(last_midnight()-timedelta(days=365*2))==2)
self.assertFalse(get_past_years_count(now-timedelta(days=731))==1)
def test_is_over_2_years_ago(self):
now = datetime.now()
self.assertFalse(get_past_years_count(now-timedelta(days=365*2))==2)
self.assertTrue(get_past_years_count(last_midnight()-timedelta(days=365*2))==2)
self.assertTrue(get_past_years_count(now-timedelta(days=731))==2)
self.assertTrue(get_past_years_count(now-timedelta(days=365*3))==2)
self.assertFalse(get_past_years_count(last_midnight()-timedelta(days=365*3))==2)
self.assertFalse(get_past_years_count(now-timedelta(days=1096))==2)
def test_past_datetime_str_today(self):
now = datetime.now()
t1 = datetime(now.year, now.month, now.day, 0, 0, 0)
self.assertEquals(past_datetime_str(t1), 'today at 12:00 AM')
t1 = datetime(now.year, now.month, now.day, 1)
self.assertEquals(past_datetime_str(t1), 'today at 1:00 AM')
t1 = datetime(now.year, now.month, now.day, 11)
self.assertEquals(past_datetime_str(t1), 'today at 11:00 AM')
t1 = datetime(now.year, now.month, now.day, 12)
self.assertEquals(past_datetime_str(t1), 'today at 12:00 PM')
t1 = datetime(now.year, now.month, now.day, 13)
self.assertEquals(past_datetime_str(t1), 'today at 1:00 PM')
def test_past_datetime_str_yesterday(self):
day = datetime.now() - timedelta(days=1)
t2 = datetime(day.year, day.month, day.day, 0, 0, 0)
self.assertEquals(past_datetime_str(t2), 'yesterday at 12:00 AM')
t2 = datetime(day.year, day.month, day.day, 1,)
self.assertEquals(past_datetime_str(t2), 'yesterday at 1:00 AM')
def test_past_datetime_str_days_ago(self):
day = datetime.now() - timedelta(days=2)
self.assertEquals(past_datetime_str(day), '2 days ago')
day = datetime.now() - timedelta(days=3)
self.assertEquals(past_datetime_str(day), '3 days ago')
day = datetime.now() - timedelta(days=4)
self.assertEquals(past_datetime_str(day), '4 days ago')
day = datetime.now() - timedelta(days=5)
self.assertEquals(past_datetime_str(day), '5 days ago')
day = datetime.now() - timedelta(days=6)
self.assertEquals(past_datetime_str(day), '6 days ago')
def test_past_datetime_str_a_week_ago(self):
day = datetime.now() - timedelta(days=7)
self.assertEquals(past_datetime_str(day), '1 week ago')
def test_past_datetime_str_over_weeks_ago(self):
day = datetime.now() - timedelta(days=8)
self.assertEquals(past_datetime_str(day), 'over 1 week ago')
day = datetime.now() - timedelta(days=14)
self.assertEquals(past_datetime_str(day), 'over 1 week ago')
day = last_midnight() - timedelta(days=14)
self.assertEquals(past_datetime_str(day), 'over 2 weeks ago')
day = datetime.now() - timedelta(days=15)
self.assertEquals(past_datetime_str(day), 'over 2 weeks ago')
day = datetime.now() - timedelta(days=21)
self.assertEquals(past_datetime_str(day), 'over 2 weeks ago')
day = last_midnight() - timedelta(days=21)
self.assertEquals(past_datetime_str(day), 'over 3 weeks ago')
day = datetime.now() - timedelta(days=22)
self.assertEquals(past_datetime_str(day), 'over 3 weeks ago')
day = datetime.now() - timedelta(days=28)
self.assertEquals(past_datetime_str(day), 'over 3 weeks ago')
def test_past_datetime_str_over_months_ago(self):
day = datetime.now() - timedelta(days=29)
self.assertEquals(past_datetime_str(day), 'over 1 month ago')
day = datetime.now() - timedelta(days=56)
self.assertEquals(past_datetime_str(day), 'over 1 month ago')
day = datetime.now() - timedelta(days=57)
self.assertEquals(past_datetime_str(day), 'over 2 months ago')
day = datetime.now() - timedelta(days=84)
self.assertEquals(past_datetime_str(day), 'over 2 months ago')
day = datetime.now() - timedelta(days=85)
self.assertEquals(past_datetime_str(day), 'over 3 months ago')
day = datetime.now() - timedelta(days=112)
self.assertEquals(past_datetime_str(day), 'over 3 months ago')
def test_past_datetime_str_over_years_ago(self):
day = datetime.now() - timedelta(days=366)
self.assertEquals(past_datetime_str(day), 'over 1 year ago')
day = datetime.now() - timedelta(days=730)
self.assertEquals(past_datetime_str(day), 'over 1 year ago')
day = datetime.now() - timedelta(days=731)
self.assertEquals(past_datetime_str(day), 'over 2 years ago')
day = datetime.now() - timedelta(days=1095)
self.assertEquals(past_datetime_str(day), 'over 2 years ago')
| 47.152648 | 88 | 0.661535 | 2,094 | 15,136 | 4.532951 | 0.047278 | 0.141066 | 0.10788 | 0.102718 | 0.931732 | 0.905499 | 0.84724 | 0.788348 | 0.711336 | 0.602823 | 0 | 0.048278 | 0.207651 | 15,136 | 320 | 89 | 47.3 | 0.743184 | 0 | 0 | 0.276515 | 0 | 0 | 0.04334 | 0 | 0 | 0 | 0 | 0 | 0.507576 | 1 | 0.090909 | false | 0 | 0.037879 | 0 | 0.132576 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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